tipping_points_case4_Les Diablerets_b2000.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import os.path\n",
    "import random\n",
    "from operator import add\n",
    "from datetime import datetime, date, timedelta\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import shutil\n",
    "import time\n",
    "\n",
    "from scipy.integrate import simps\n",
    "from numpy import trapz\n",
    "from decimal import Decimal, ROUND_DOWN, ROUND_UP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns',69)\n",
    "pd.set_option('display.max_rows',119)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load the data\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case1_sattel-hochstuckli\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case2_Atzmaening\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case3_hoch-ybrig\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case4_villars-diablerets_elevations_b1339\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case4_villars-diablerets_elevations_b1822\\setup1'\n",
    "root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case4_villars-diablerets_elevations_b2000\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case4_villars-diablerets_elevations_b2500\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case5_champex\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case6_davos_elevations_b1564\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case6_davos_elevations_b2141\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case6_davos_elevations_b2584\\setup1'\n",
    "\n",
    "rootOut = os.path.join(root, 'Results_3')\n",
    "df_final_tipping_point_1980 = pd.read_csv(os.path.join(rootOut, 'df_final_tipping_point_1980.csv'))\n",
    "df_final_tipping_point_2020 = pd.read_csv(os.path.join(rootOut, 'df_final_tipping_point_2020.csv'))\n",
    "df_final_tipping_point_2050 = pd.read_csv(os.path.join(rootOut, 'df_final_tipping_point_2050.csv'))\n",
    "df_final_tipping_point_2070 = pd.read_csv(os.path.join(rootOut, 'df_final_tipping_point_2070.csv'))\n",
    "\n",
    "df_policies = pd.read_csv(os.path.join(rootOut, 'df_policies.csv'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        vertical-align: top;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tippingPoint26_1980</th>\n",
       "      <th>tippingPoint26_1_1980</th>\n",
       "      <th>scenario26_1980</th>\n",
       "      <th>policy26_1980</th>\n",
       "      <th>tippingPoint45_1980</th>\n",
       "      <th>tippingPoint45_1_1980</th>\n",
       "      <th>scenario45_1980</th>\n",
       "      <th>policy45_1980</th>\n",
       "      <th>tippingPoint85_1980</th>\n",
       "      <th>tippingPoint85_1_1980</th>\n",
       "      <th>scenario85_1980</th>\n",
       "      <th>policy85_1980</th>\n",
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       "  </thead>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>3056</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>185.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3059</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>44.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3060</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</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",
       "  </tbody>\n",
       "</table>\n",
       "<p>3061 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      tippingPoint26_1980  tippingPoint26_1_1980  scenario26_1980  \\\n",
       "0                     0.0                    0.0              0.0   \n",
       "1                     0.0                    0.0              0.0   \n",
       "2                     0.0                    0.0              0.0   \n",
       "3                     0.0                    0.0              0.0   \n",
       "4                     0.0                    0.0              0.0   \n",
       "...                   ...                    ...              ...   \n",
       "3056                  NaN                    NaN              NaN   \n",
       "3057                  NaN                    NaN              NaN   \n",
       "3058                  NaN                    NaN              NaN   \n",
       "3059                  NaN                    NaN              NaN   \n",
       "3060                  NaN                    NaN              NaN   \n",
       "\n",
       "      policy26_1980  tippingPoint45_1980  tippingPoint45_1_1980  \\\n",
       "0               1.0                  0.0                    0.0   \n",
       "1               5.0                  0.0                    0.0   \n",
       "2               6.0                  0.0                    1.0   \n",
       "3               7.0                  1.0                    0.0   \n",
       "4              14.0                  0.0                    2.0   \n",
       "...             ...                  ...                    ...   \n",
       "3056            NaN                  2.0                    4.0   \n",
       "3057            NaN                  4.0                    2.0   \n",
       "3058            NaN                  2.0                    3.0   \n",
       "3059            NaN                  3.0                    0.0   \n",
       "3060            NaN                  0.0                    NaN   \n",
       "\n",
       "      scenario45_1980  policy45_1980  tippingPoint85_1980  \\\n",
       "0                 0.0            0.0                  0.0   \n",
       "1                 0.0            4.0                  0.0   \n",
       "2                 0.0            8.0                  1.0   \n",
       "3                 0.0           10.0                  0.0   \n",
       "4                 0.0           11.0                  0.0   \n",
       "...               ...            ...                  ...   \n",
       "3056             44.0          184.0                  NaN   \n",
       "3057             44.0          185.0                  NaN   \n",
       "3058             44.0          192.0                  NaN   \n",
       "3059             44.0          197.0                  NaN   \n",
       "3060              NaN            NaN                  NaN   \n",
       "\n",
       "      tippingPoint85_1_1980  scenario85_1980  policy85_1980  \n",
       "0                       0.0              0.0            2.0  \n",
       "1                       1.0              0.0            3.0  \n",
       "2                       0.0              0.0            9.0  \n",
       "3                       0.0              0.0           12.0  \n",
       "4                       0.0              0.0           13.0  \n",
       "...                     ...              ...            ...  \n",
       "3056                    NaN              NaN            NaN  \n",
       "3057                    NaN              NaN            NaN  \n",
       "3058                    NaN              NaN            NaN  \n",
       "3059                    NaN              NaN            NaN  \n",
       "3060                    NaN              NaN            NaN  \n",
       "\n",
       "[3061 rows x 12 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final_tipping_point_1980"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#####Scenario_26####\n",
    "\n",
    "tippingPoint26_All_1980 = df_final_tipping_point_1980['tippingPoint26_1980'].value_counts()\n",
    "tippingPoint26_Accepted_1980 = df_final_tipping_point_1980['tippingPoint26_1_1980'].value_counts()\n",
    "scenario26_1980 = df_final_tipping_point_1980['scenario26_1980'].value_counts()\n",
    "policy26_1980 = df_final_tipping_point_1980['policy26_1980'].value_counts()\n",
    "\n",
    "tippingPoint26_All_2020 = df_final_tipping_point_2020['tippingPoint26_2020'].value_counts()\n",
    "tippingPoint26_Accepted_2020 = df_final_tipping_point_2020['tippingPoint26_1_2020'].value_counts()\n",
    "scenario26_2020 = df_final_tipping_point_2020['scenario26_2020'].value_counts()\n",
    "policy26_2020 = df_final_tipping_point_2020['policy26_2020'].value_counts()\n",
    "\n",
    "tippingPoint26_All_2050 = df_final_tipping_point_2050['tippingPoint26_2050'].value_counts()\n",
    "tippingPoint26_Accepted_2050 = df_final_tipping_point_2050['tippingPoint26_1_2050'].value_counts()\n",
    "scenario26_2050 = df_final_tipping_point_2050['scenario26_2050'].value_counts()\n",
    "policy26_2050 = df_final_tipping_point_2050['policy26_2050'].value_counts()\n",
    "\n",
    "tippingPoint26_All_2070 = df_final_tipping_point_2070['tippingPoint26_2070'].value_counts()\n",
    "tippingPoint26_Accepted_2070 = df_final_tipping_point_2070['tippingPoint26_1_2070'].value_counts()\n",
    "scenario26_2070 = df_final_tipping_point_2070['scenario26_2070'].value_counts()\n",
    "policy26_2070 = df_final_tipping_point_2070['policy26_2070'].value_counts()\n",
    "\n",
    "#####Scenario_45####\n",
    "\n",
    "tippingPoint45_All_1980 = df_final_tipping_point_1980['tippingPoint45_1980'].value_counts()\n",
    "tippingPoint45_Accepted_1980 = df_final_tipping_point_1980['tippingPoint45_1_1980'].value_counts()\n",
    "scenario45_1980 = df_final_tipping_point_1980['scenario45_1980'].value_counts()\n",
    "policy45_1980 = df_final_tipping_point_1980['policy45_1980'].value_counts()\n",
    "\n",
    "tippingPoint45_All_2020 = df_final_tipping_point_2020['tippingPoint45_2020'].value_counts()\n",
    "tippingPoint45_Accepted_2020 = df_final_tipping_point_2020['tippingPoint45_1_2020'].value_counts()\n",
    "scenario45_2020 = df_final_tipping_point_2020['scenario45_2020'].value_counts()\n",
    "policy45_2020 = df_final_tipping_point_2020['policy45_2020'].value_counts()\n",
    "\n",
    "tippingPoint45_All_2050 = df_final_tipping_point_2050['tippingPoint45_2050'].value_counts()\n",
    "tippingPoint45_Accepted_2050 = df_final_tipping_point_2050['tippingPoint45_1_2050'].value_counts()\n",
    "scenario45_2050 = df_final_tipping_point_2050['scenario45_2050'].value_counts()\n",
    "policy45_2050 = df_final_tipping_point_2050['policy45_2050'].value_counts()\n",
    "\n",
    "tippingPoint45_All_2070 = df_final_tipping_point_2070['tippingPoint45_2070'].value_counts()\n",
    "tippingPoint45_Accepted_2070 = df_final_tipping_point_2070['tippingPoint45_1_2070'].value_counts()\n",
    "scenario45_2070 = df_final_tipping_point_2070['scenario45_2070'].value_counts()\n",
    "policy45_2070 = df_final_tipping_point_2070['policy45_2070'].value_counts()\n",
    "\n",
    "#####Scenario_85####\n",
    "\n",
    "tippingPoint85_All_1980 = df_final_tipping_point_1980['tippingPoint85_1980'].value_counts()\n",
    "tippingPoint85_Accepted_1980 = df_final_tipping_point_1980['tippingPoint85_1_1980'].value_counts()\n",
    "scenario85_1980 = df_final_tipping_point_1980['scenario85_1980'].value_counts()\n",
    "policy85_1980 = df_final_tipping_point_1980['policy85_1980'].value_counts()\n",
    "\n",
    "tippingPoint85_All_2020 = df_final_tipping_point_2020['tippingPoint85_2020'].value_counts()\n",
    "tippingPoint85_Accepted_2020 = df_final_tipping_point_2020['tippingPoint85_1_2020'].value_counts()\n",
    "scenario85_2020 = df_final_tipping_point_2020['scenario85_2020'].value_counts()\n",
    "policy85_2020 = df_final_tipping_point_2020['policy85_2020'].value_counts()\n",
    "\n",
    "tippingPoint85_All_2050 = df_final_tipping_point_2050['tippingPoint85_2050'].value_counts()\n",
    "tippingPoint85_Accepted_2050 = df_final_tipping_point_2050['tippingPoint85_1_2050'].value_counts()\n",
    "scenario85_2050 = df_final_tipping_point_2050['scenario85_2050'].value_counts()\n",
    "policy85_2050 = df_final_tipping_point_2050['policy85_2050'].value_counts()\n",
    "\n",
    "tippingPoint85_All_2070 = df_final_tipping_point_2070['tippingPoint85_2070'].value_counts()\n",
    "tippingPoint85_Accepted_2070 = df_final_tipping_point_2070['tippingPoint85_1_2070'].value_counts()\n",
    "scenario85_2070 = df_final_tipping_point_2070['scenario85_2070'].value_counts()\n",
    "policy85_2070 = df_final_tipping_point_2070['policy85_2070'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "a1 = pd.DataFrame(tippingPoint26_All_1980.reset_index().values, columns=[\"freq26_tip_all_1980\", \"tippingPoint26_all_1980\"])\n",
    "a2 = pd.DataFrame(tippingPoint26_Accepted_1980.reset_index().values, columns=[\"freq26_tipacc_1980\", \"tippingPoint26_acc_1980\"])\n",
    "a3 = pd.DataFrame(scenario26_1980.reset_index().values, columns=[\"Policy26_1980\", \"freq26_1980_policy\"])\n",
    "a4 = pd.DataFrame(policy26_1980.reset_index().values, columns=[\"scenario26_1980\", \"freq26_1980_scenario\"])\n",
    "\n",
    "a5 = pd.DataFrame(tippingPoint26_All_2020.reset_index().values, columns=[\"freq26_tip_all_2020\", \"tippingPoint26_all_2020\"])\n",
    "a6 = pd.DataFrame(tippingPoint26_Accepted_2020.reset_index().values, columns=[\"freq26_tipacc_2020\", \"tippingPoint26_acc_2020\"])\n",
    "a7 = pd.DataFrame(scenario26_2020.reset_index().values, columns=[\"Policy26_2020\", \"freq26_2020_policy\"])\n",
    "a8 = pd.DataFrame(policy26_2020.reset_index().values, columns=[\"scenario26_2020\", \"freq26_2020_scenario\"])\n",
    "\n",
    "a9 = pd.DataFrame(tippingPoint26_All_2050.reset_index().values, columns=[\"freq26_tip_all_2050\", \"tippingPoint26_all_2050\"])\n",
    "a10 = pd.DataFrame(tippingPoint26_Accepted_2050.reset_index().values, columns=[\"freq26_tipacc_2050\", \"tippingPoint26_acc_2050\"])\n",
    "a11 = pd.DataFrame(scenario26_2050.reset_index().values, columns=[\"Policy26_2050\", \"freq26_2050_policy\"])\n",
    "a12 = pd.DataFrame(policy26_2050.reset_index().values, columns=[\"scenario26_2050\", \"freq26_2050_scenario\"])\n",
    "\n",
    "a13 = pd.DataFrame(tippingPoint26_All_2070.reset_index().values, columns=[\"freq26_tip_all_2070\", \"tippingPoint26_all_2070\"])\n",
    "a14 = pd.DataFrame(tippingPoint26_Accepted_2070.reset_index().values, columns=[\"freq26_tipacc_2070\", \"tippingPoint26_acc_2070\"])\n",
    "a15 = pd.DataFrame(scenario26_2070.reset_index().values, columns=[\"Policy26_2070\", \"freq26_2070_policy\"])\n",
    "a16 = pd.DataFrame(policy26_2070.reset_index().values, columns=[\"scenario26_2070\", \"freq26_2070_scenario\"])\n",
    "\n",
    "b1= pd.DataFrame(tippingPoint45_All_1980.reset_index().values, columns=[\"freq45_tip_all_1980\", \"tippingPoint45_all_1980\"])\n",
    "b2= pd.DataFrame(tippingPoint45_Accepted_1980.reset_index().values, columns=[\"freq45_tipacc_1980\", \"tippingPoint45_acc_1980\"])\n",
    "b3= pd.DataFrame(scenario45_1980.reset_index().values, columns=[\"Policy45_1980\", \"freq45_1980_policy\"])\n",
    "b4= pd.DataFrame(policy45_1980.reset_index().values, columns=[\"scenario45_1980\", \"freq45_1980_scenario\"])\n",
    "\n",
    "b5 = pd.DataFrame(tippingPoint45_All_2020.reset_index().values, columns=[\"freq45_tip_all_2020\", \"tippingPoint45_all_2020\"])\n",
    "b6 = pd.DataFrame(tippingPoint45_Accepted_2020.reset_index().values, columns=[\"freq45_tipacc_2020\", \"tippingPoint45_acc_2020\"])\n",
    "b7 = pd.DataFrame(scenario45_2020.reset_index().values, columns=[\"Policy45_2020\", \"freq45_2020_policy\"])\n",
    "b8 = pd.DataFrame(policy45_2020.reset_index().values, columns=[\"scenario45_2020\", \"freq45_2020_scenario\"])\n",
    "\n",
    "b9 = pd.DataFrame(tippingPoint45_All_2050.reset_index().values, columns=[\"freq45_tip_all_2050\", \"tippingPoint45_all_2050\"])\n",
    "b10 = pd.DataFrame(tippingPoint45_Accepted_2050.reset_index().values, columns=[\"freq45_tipacc_2050\", \"tippingPoint45_acc_2050\"])\n",
    "b11 = pd.DataFrame(scenario45_2050.reset_index().values, columns=[\"Policy45_2050\", \"freq45_2050_policy\"])\n",
    "b12 = pd.DataFrame(policy45_2050.reset_index().values, columns=[\"scenario45_2050\", \"freq45_2050_scenario\"])\n",
    "\n",
    "b13 = pd.DataFrame(tippingPoint45_All_2070.reset_index().values, columns=[\"freq45_tip_all_2070\", \"tippingPoint45_all_2070\"])\n",
    "b14 = pd.DataFrame(tippingPoint45_Accepted_2070.reset_index().values, columns=[\"freq45_tipacc_2070\", \"tippingPoint45_acc_2070\"])\n",
    "b15 = pd.DataFrame(scenario45_2070.reset_index().values, columns=[\"Policy45_2070\", \"freq45_2070_policy\"])\n",
    "b16 = pd.DataFrame(policy45_2070.reset_index().values, columns=[\"scenario45_2070\", \"freq45_2070_scenario\"])\n",
    "\n",
    "c1= pd.DataFrame(tippingPoint45_All_1980.reset_index().values, columns=[\"freq85_tip_all_1980\", \"tippingPoint85_all_1980\"])\n",
    "c2= pd.DataFrame(tippingPoint45_Accepted_1980.reset_index().values, columns=[\"freq85_tipacc_1980\", \"tippingPoint85_acc_1980\"])\n",
    "c3= pd.DataFrame(scenario45_1980.reset_index().values, columns=[\"Policy85_1980\", \"freq85_1980_policy\"])\n",
    "c4= pd.DataFrame(policy45_1980.reset_index().values, columns=[\"scenario85_1980\", \"freq85_1980_scenario\"])\n",
    "\n",
    "c5 = pd.DataFrame(tippingPoint45_All_2020.reset_index().values, columns=[\"freq85_tip_all_2020\", \"tippingPoint85_all_2020\"])\n",
    "c6 = pd.DataFrame(tippingPoint45_Accepted_2020.reset_index().values, columns=[\"freq85_tipacc_2020\", \"tippingPoint85_acc_2020\"])\n",
    "c7 = pd.DataFrame(scenario45_2020.reset_index().values, columns=[\"Policy85_2020\", \"freq85_2020_policy\"])\n",
    "c8 = pd.DataFrame(policy45_2020.reset_index().values, columns=[\"scenario85_2020\", \"freq85_2020_scenario\"])\n",
    "\n",
    "c9 = pd.DataFrame(tippingPoint45_All_2050.reset_index().values, columns=[\"freq85_tip_all_2050\", \"tippingPoint85_all_2050\"])\n",
    "c10 = pd.DataFrame(tippingPoint45_Accepted_2050.reset_index().values, columns=[\"freq85_tipacc_2050\", \"tippingPoint85_acc_2050\"])\n",
    "c11 = pd.DataFrame(scenario45_2050.reset_index().values, columns=[\"Policy85_2050\", \"freq85_2050_policy\"])\n",
    "c12 = pd.DataFrame(policy45_2050.reset_index().values, columns=[\"scenario85_2050\", \"freq85_2050_scenario\"])\n",
    "\n",
    "c13 = pd.DataFrame(tippingPoint85_All_2070.reset_index().values, columns=[\"freq85_tip_all_2070\", \"tippingPoint85_all_2070\"])\n",
    "c14 = pd.DataFrame(tippingPoint85_Accepted_2070.reset_index().values, columns=[\"freq85_tipacc_2070\", \"tippingPoint85_acc_2070\"])\n",
    "c15 = pd.DataFrame(scenario85_2070.reset_index().values, columns=[\"Policy85_2070\", \"freq85_2070_policy\"])\n",
    "c16 = pd.DataFrame(policy85_2070.reset_index().values, columns=[\"scenario85_2070\", \"freq85_2070_scenario\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final_tipping_point_1980_2070 = pd.concat((a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16,\n",
    "                                             b1, b2, b3, b4, b5, b6, b7, b8, b9, b10, b11, b12, b13, b14, b15, b16,\n",
    "                                             c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16), axis = 1)\n",
    "df_final_tipping_point_1980_2070.to_csv(os.path.join(rootOut, 'df_final_tipping_point_1980_2070.csv'), index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(68, 96)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final_tipping_point_1980_2070.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>freq26_tip_all_1980</th>\n",
       "      <th>tippingPoint26_all_1980</th>\n",
       "      <th>freq26_tipacc_1980</th>\n",
       "      <th>tippingPoint26_acc_1980</th>\n",
       "      <th>Policy26_1980</th>\n",
       "      <th>freq26_1980_policy</th>\n",
       "      <th>scenario26_1980</th>\n",
       "      <th>freq26_1980_scenario</th>\n",
       "      <th>freq26_tip_all_2020</th>\n",
       "      <th>tippingPoint26_all_2020</th>\n",
       "      <th>freq26_tipacc_2020</th>\n",
       "      <th>tippingPoint26_acc_2020</th>\n",
       "      <th>Policy26_2020</th>\n",
       "      <th>freq26_2020_policy</th>\n",
       "      <th>scenario26_2020</th>\n",
       "      <th>freq26_2020_scenario</th>\n",
       "      <th>freq26_tip_all_2050</th>\n",
       "      <th>tippingPoint26_all_2050</th>\n",
       "      <th>freq26_tipacc_2050</th>\n",
       "      <th>tippingPoint26_acc_2050</th>\n",
       "      <th>Policy26_2050</th>\n",
       "      <th>freq26_2050_policy</th>\n",
       "      <th>scenario26_2050</th>\n",
       "      <th>freq26_2050_scenario</th>\n",
       "      <th>freq26_tip_all_2070</th>\n",
       "      <th>tippingPoint26_all_2070</th>\n",
       "      <th>freq26_tipacc_2070</th>\n",
       "      <th>tippingPoint26_acc_2070</th>\n",
       "      <th>Policy26_2070</th>\n",
       "      <th>freq26_2070_policy</th>\n",
       "      <th>scenario26_2070</th>\n",
       "      <th>freq26_2070_scenario</th>\n",
       "      <th>freq45_tip_all_1980</th>\n",
       "      <th>tippingPoint45_all_1980</th>\n",
       "      <th>...</th>\n",
       "      <th>scenario45_2070</th>\n",
       "      <th>freq45_2070_scenario</th>\n",
       "      <th>freq85_tip_all_1980</th>\n",
       "      <th>tippingPoint85_all_1980</th>\n",
       "      <th>freq85_tipacc_1980</th>\n",
       "      <th>tippingPoint85_acc_1980</th>\n",
       "      <th>Policy85_1980</th>\n",
       "      <th>freq85_1980_policy</th>\n",
       "      <th>scenario85_1980</th>\n",
       "      <th>freq85_1980_scenario</th>\n",
       "      <th>freq85_tip_all_2020</th>\n",
       "      <th>tippingPoint85_all_2020</th>\n",
       "      <th>freq85_tipacc_2020</th>\n",
       "      <th>tippingPoint85_acc_2020</th>\n",
       "      <th>Policy85_2020</th>\n",
       "      <th>freq85_2020_policy</th>\n",
       "      <th>scenario85_2020</th>\n",
       "      <th>freq85_2020_scenario</th>\n",
       "      <th>freq85_tip_all_2050</th>\n",
       "      <th>tippingPoint85_all_2050</th>\n",
       "      <th>freq85_tipacc_2050</th>\n",
       "      <th>tippingPoint85_acc_2050</th>\n",
       "      <th>Policy85_2050</th>\n",
       "      <th>freq85_2050_policy</th>\n",
       "      <th>scenario85_2050</th>\n",
       "      <th>freq85_2050_scenario</th>\n",
       "      <th>freq85_tip_all_2070</th>\n",
       "      <th>tippingPoint85_all_2070</th>\n",
       "      <th>freq85_tipacc_2070</th>\n",
       "      <th>tippingPoint85_acc_2070</th>\n",
       "      <th>Policy85_2070</th>\n",
       "      <th>freq85_2070_policy</th>\n",
       "      <th>scenario85_2070</th>\n",
       "      <th>freq85_2070_scenario</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2195.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2194.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1038.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1037.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>722.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>721.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>703.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>702.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1867.0</td>\n",
       "      <td>...</td>\n",
       "      <td>133.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1867.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1866.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>973.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>972.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>433.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>410.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>969.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>539.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>539.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>521.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>521.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>464.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>464.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>551.0</td>\n",
       "      <td>...</td>\n",
       "      <td>26.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>551.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>551.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>689.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>689.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>411.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>382.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>642.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>531.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>531.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>514.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>514.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>411.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>411.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>...</td>\n",
       "      <td>72.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>445.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>445.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>382.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>561.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>395.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>395.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>...</td>\n",
       "      <td>179.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>352.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>247.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>335.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>...</td>\n",
       "      <td>183.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>364.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>315.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>...</td>\n",
       "      <td>15.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>352.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>185.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>315.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>56.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>162.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>105.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>152.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>145.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>170.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>167.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>70.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>36.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>27.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>17.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>51.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>116.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>108.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>131.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>32.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>34.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>22.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>77.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>66.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>122.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>52.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>27.0</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>63.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>192.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>27.0</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>9.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>24.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>27.0</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>55.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>137.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>27.0</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>180.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>27.0</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>37.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>47.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>27.0</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>169.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>182.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>27.0</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>146.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>53.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>27.0</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>199.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>125.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>27.0</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>148.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>161.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>27.0</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>123.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>27.0</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>151.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>27.0</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>142.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>61.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>26.0</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>76.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>49.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>26.0</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>35.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>173.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>26.0</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>164.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.0</td>\n",
       "      <td>45.0</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>7.0</td>\n",
       "      <td>39.0</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>71.0</td>\n",
       "      <td>36.0</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>140.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>46.0</td>\n",
       "      <td>21.0</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>167.0</td>\n",
       "      <td>45.0</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>125.0</td>\n",
       "      <td>39.0</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>100.0</td>\n",
       "      <td>26.0</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>42.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>188.0</td>\n",
       "      <td>45.0</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>165.0</td>\n",
       "      <td>39.0</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>87.0</td>\n",
       "      <td>36.0</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>85.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>33.0</td>\n",
       "      <td>20.0</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>133.0</td>\n",
       "      <td>45.0</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>185.0</td>\n",
       "      <td>39.0</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>137.0</td>\n",
       "      <td>26.0</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>189.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>194.0</td>\n",
       "      <td>45.0</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>119.0</td>\n",
       "      <td>39.0</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>188.0</td>\n",
       "      <td>36.0</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>83.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>20.0</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>132.0</td>\n",
       "      <td>45.0</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>131.0</td>\n",
       "      <td>39.0</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>24.0</td>\n",
       "      <td>26.0</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>48.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140.0</td>\n",
       "      <td>45.0</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>14.0</td>\n",
       "      <td>39.0</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>119.0</td>\n",
       "      <td>36.0</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>171.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>135.0</td>\n",
       "      <td>20.0</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>122.0</td>\n",
       "      <td>45.0</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>133.0</td>\n",
       "      <td>39.0</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>50.0</td>\n",
       "      <td>26.0</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>112.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>118.0</td>\n",
       "      <td>45.0</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>140.0</td>\n",
       "      <td>38.0</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>106.0</td>\n",
       "      <td>36.0</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>7.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>20.0</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>94.0</td>\n",
       "      <td>45.0</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>161.0</td>\n",
       "      <td>39.0</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>94.0</td>\n",
       "      <td>25.0</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>3.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>134.0</td>\n",
       "      <td>45.0</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>141.0</td>\n",
       "      <td>38.0</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>144.0</td>\n",
       "      <td>35.0</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>159.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>93.0</td>\n",
       "      <td>20.0</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>70.0</td>\n",
       "      <td>45.0</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>93.0</td>\n",
       "      <td>39.0</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>32.0</td>\n",
       "      <td>25.0</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>92.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.0</td>\n",
       "      <td>45.0</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>83.0</td>\n",
       "      <td>38.0</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>45.0</td>\n",
       "      <td>35.0</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>71.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>67.0</td>\n",
       "      <td>20.0</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>61.0</td>\n",
       "      <td>45.0</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>94.0</td>\n",
       "      <td>39.0</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>174.0</td>\n",
       "      <td>25.0</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>176.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106.0</td>\n",
       "      <td>45.0</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>178.0</td>\n",
       "      <td>38.0</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>14.0</td>\n",
       "      <td>35.0</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>23.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>19.0</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>105.0</td>\n",
       "      <td>45.0</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>173.0</td>\n",
       "      <td>39.0</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>70.0</td>\n",
       "      <td>25.0</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>186.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>115.0</td>\n",
       "      <td>45.0</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>30.0</td>\n",
       "      <td>38.0</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>88.0</td>\n",
       "      <td>35.0</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>69.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>184.0</td>\n",
       "      <td>19.0</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>53.0</td>\n",
       "      <td>45.0</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>66.0</td>\n",
       "      <td>39.0</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>8.0</td>\n",
       "      <td>25.0</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>191.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.0</td>\n",
       "      <td>45.0</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>103.0</td>\n",
       "      <td>38.0</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>177.0</td>\n",
       "      <td>35.0</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>25.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>197.0</td>\n",
       "      <td>19.0</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>162.0</td>\n",
       "      <td>45.0</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>117.0</td>\n",
       "      <td>39.0</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>41.0</td>\n",
       "      <td>25.0</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>153.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59.0</td>\n",
       "      <td>45.0</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>25.0</td>\n",
       "      <td>38.0</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>89.0</td>\n",
       "      <td>35.0</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>178.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>117.0</td>\n",
       "      <td>19.0</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>51.0</td>\n",
       "      <td>45.0</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>105.0</td>\n",
       "      <td>39.0</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>185.0</td>\n",
       "      <td>25.0</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>156.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "      <td>45.0</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>128.0</td>\n",
       "      <td>38.0</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>85.0</td>\n",
       "      <td>35.0</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>64.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>19.0</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>49.0</td>\n",
       "      <td>45.0</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>53.0</td>\n",
       "      <td>39.0</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>17.0</td>\n",
       "      <td>24.0</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>102.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45.0</td>\n",
       "      <td>45.0</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>18.0</td>\n",
       "      <td>38.0</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>141.0</td>\n",
       "      <td>35.0</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>30.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>181.0</td>\n",
       "      <td>19.0</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>117.0</td>\n",
       "      <td>45.0</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>32.0</td>\n",
       "      <td>38.0</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>60.0</td>\n",
       "      <td>24.0</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>126.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>45.0</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>71.0</td>\n",
       "      <td>38.0</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>23.0</td>\n",
       "      <td>34.0</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>103.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>94.0</td>\n",
       "      <td>19.0</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>47.0</td>\n",
       "      <td>45.0</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>51.0</td>\n",
       "      <td>38.0</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>197.0</td>\n",
       "      <td>24.0</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>74.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>69.0</td>\n",
       "      <td>45.0</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>64.0</td>\n",
       "      <td>37.0</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>103.0</td>\n",
       "      <td>34.0</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>89.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>132.0</td>\n",
       "      <td>18.0</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>173.0</td>\n",
       "      <td>45.0</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>41.0</td>\n",
       "      <td>38.0</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>173.0</td>\n",
       "      <td>24.0</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>81.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>45.0</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>21.0</td>\n",
       "      <td>37.0</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>1.0</td>\n",
       "      <td>34.0</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>62.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>147.0</td>\n",
       "      <td>18.0</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>41.0</td>\n",
       "      <td>45.0</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>100.0</td>\n",
       "      <td>38.0</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>93.0</td>\n",
       "      <td>24.0</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>101.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>177.0</td>\n",
       "      <td>45.0</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>75.0</td>\n",
       "      <td>37.0</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>39.0</td>\n",
       "      <td>33.0</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>88.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>160.0</td>\n",
       "      <td>18.0</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>93.0</td>\n",
       "      <td>45.0</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>108.0</td>\n",
       "      <td>38.0</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>77.0</td>\n",
       "      <td>24.0</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",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>155.0</td>\n",
       "      <td>45.0</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>82.0</td>\n",
       "      <td>36.0</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>40.0</td>\n",
       "      <td>33.0</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>165.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>60.0</td>\n",
       "      <td>18.0</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>33.0</td>\n",
       "      <td>45.0</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>49.0</td>\n",
       "      <td>37.0</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>22.0</td>\n",
       "      <td>23.0</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",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>178.0</td>\n",
       "      <td>45.0</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>39.0</td>\n",
       "      <td>36.0</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>6.0</td>\n",
       "      <td>33.0</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>6.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>41.0</td>\n",
       "      <td>18.0</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>183.0</td>\n",
       "      <td>45.0</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>61.0</td>\n",
       "      <td>37.0</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>130.0</td>\n",
       "      <td>23.0</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",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150.0</td>\n",
       "      <td>45.0</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>177.0</td>\n",
       "      <td>35.0</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>25.0</td>\n",
       "      <td>32.0</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>39.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>130.0</td>\n",
       "      <td>17.0</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>161.0</td>\n",
       "      <td>45.0</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>46.0</td>\n",
       "      <td>37.0</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>0.0</td>\n",
       "      <td>23.0</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",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>45.0</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>124.0</td>\n",
       "      <td>34.0</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>165.0</td>\n",
       "      <td>32.0</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>40.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</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>131.0</td>\n",
       "      <td>45.0</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>72.0</td>\n",
       "      <td>37.0</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>184.0</td>\n",
       "      <td>22.0</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",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>174.0</td>\n",
       "      <td>17.0</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>130.0</td>\n",
       "      <td>45.0</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>0.0</td>\n",
       "      <td>37.0</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>97.0</td>\n",
       "      <td>22.0</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",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 96 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    freq26_tip_all_1980  tippingPoint26_all_1980  freq26_tipacc_1980  \\\n",
       "0                   0.0                   2195.0                 0.0   \n",
       "1                   1.0                    300.0                 1.0   \n",
       "2                   3.0                    189.0                 3.0   \n",
       "3                   2.0                    184.0                 2.0   \n",
       "4                   4.0                     82.0                 4.0   \n",
       "5                   5.0                     21.0                 5.0   \n",
       "6                   NaN                      NaN                 NaN   \n",
       "7                   NaN                      NaN                 NaN   \n",
       "8                   NaN                      NaN                 NaN   \n",
       "9                   NaN                      NaN                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint26_acc_1980  Policy26_1980  freq26_1980_policy  \\\n",
       "0                    2194.0           43.0                66.0   \n",
       "1                     300.0           21.0                66.0   \n",
       "2                     189.0           19.0                66.0   \n",
       "3                     184.0           18.0                66.0   \n",
       "4                      82.0           17.0                66.0   \n",
       "5                      21.0           16.0                66.0   \n",
       "6                       NaN           15.0                66.0   \n",
       "7                       NaN           14.0                66.0   \n",
       "8                       NaN           13.0                66.0   \n",
       "9                       NaN           12.0                66.0   \n",
       "10                      NaN           11.0                66.0   \n",
       "11                      NaN           10.0                66.0   \n",
       "12                      NaN            9.0                66.0   \n",
       "13                      NaN            8.0                66.0   \n",
       "14                      NaN            7.0                66.0   \n",
       "15                      NaN            6.0                66.0   \n",
       "16                      NaN            5.0                66.0   \n",
       "17                      NaN            4.0                66.0   \n",
       "18                      NaN            3.0                66.0   \n",
       "19                      NaN            2.0                66.0   \n",
       "20                      NaN            1.0                66.0   \n",
       "21                      NaN           20.0                66.0   \n",
       "22                      NaN           22.0                66.0   \n",
       "23                      NaN           41.0                66.0   \n",
       "24                      NaN           23.0                66.0   \n",
       "25                      NaN           39.0                66.0   \n",
       "26                      NaN           37.0                66.0   \n",
       "27                      NaN           35.0                66.0   \n",
       "28                      NaN           33.0                66.0   \n",
       "29                      NaN           44.0                66.0   \n",
       "30                      NaN           42.0                66.0   \n",
       "31                      NaN           40.0                66.0   \n",
       "32                      NaN           38.0                66.0   \n",
       "33                      NaN           36.0                66.0   \n",
       "34                      NaN           34.0                66.0   \n",
       "35                      NaN           32.0                66.0   \n",
       "36                      NaN           31.0                66.0   \n",
       "37                      NaN           30.0                66.0   \n",
       "38                      NaN           29.0                66.0   \n",
       "39                      NaN           28.0                66.0   \n",
       "40                      NaN           27.0                66.0   \n",
       "41                      NaN           26.0                66.0   \n",
       "42                      NaN           25.0                66.0   \n",
       "43                      NaN           24.0                66.0   \n",
       "44                      NaN            0.0                66.0   \n",
       "45                      NaN            NaN                 NaN   \n",
       "46                      NaN            NaN                 NaN   \n",
       "47                      NaN            NaN                 NaN   \n",
       "48                      NaN            NaN                 NaN   \n",
       "49                      NaN            NaN                 NaN   \n",
       "50                      NaN            NaN                 NaN   \n",
       "51                      NaN            NaN                 NaN   \n",
       "52                      NaN            NaN                 NaN   \n",
       "53                      NaN            NaN                 NaN   \n",
       "54                      NaN            NaN                 NaN   \n",
       "55                      NaN            NaN                 NaN   \n",
       "56                      NaN            NaN                 NaN   \n",
       "57                      NaN            NaN                 NaN   \n",
       "58                      NaN            NaN                 NaN   \n",
       "59                      NaN            NaN                 NaN   \n",
       "60                      NaN            NaN                 NaN   \n",
       "61                      NaN            NaN                 NaN   \n",
       "62                      NaN            NaN                 NaN   \n",
       "63                      NaN            NaN                 NaN   \n",
       "64                      NaN            NaN                 NaN   \n",
       "65                      NaN            NaN                 NaN   \n",
       "66                      NaN            NaN                 NaN   \n",
       "\n",
       "    scenario26_1980  freq26_1980_scenario  freq26_tip_all_2020  \\\n",
       "0             143.0                  45.0                  0.0   \n",
       "1              58.0                  45.0                  2.0   \n",
       "2              85.0                  45.0                  1.0   \n",
       "3              75.0                  45.0                  3.0   \n",
       "4             165.0                  45.0                  5.0   \n",
       "5              65.0                  45.0                  4.0   \n",
       "6             171.0                  45.0                  6.0   \n",
       "7             129.0                  45.0                  7.0   \n",
       "8             144.0                  45.0                  NaN   \n",
       "9             128.0                  45.0                  NaN   \n",
       "10            124.0                  45.0                  NaN   \n",
       "11             96.0                  45.0                  NaN   \n",
       "12             88.0                  45.0                  NaN   \n",
       "13             68.0                  45.0                  NaN   \n",
       "14             64.0                  45.0                  NaN   \n",
       "15             62.0                  45.0                  NaN   \n",
       "16             54.0                  45.0                  NaN   \n",
       "17            158.0                  45.0                  NaN   \n",
       "18             44.0                  45.0                  NaN   \n",
       "19             40.0                  45.0                  NaN   \n",
       "20             31.0                  45.0                  NaN   \n",
       "21             30.0                  45.0                  NaN   \n",
       "22             29.0                  45.0                  NaN   \n",
       "23             25.0                  45.0                  NaN   \n",
       "24             23.0                  45.0                  NaN   \n",
       "25             21.0                  45.0                  NaN   \n",
       "26             20.0                  45.0                  NaN   \n",
       "27             18.0                  45.0                  NaN   \n",
       "28             14.0                  45.0                  NaN   \n",
       "29              7.0                  45.0                  NaN   \n",
       "30              6.0                  45.0                  NaN   \n",
       "31              5.0                  45.0                  NaN   \n",
       "32             99.0                  45.0                  NaN   \n",
       "33            109.0                  45.0                  NaN   \n",
       "34            119.0                  45.0                  NaN   \n",
       "35            138.0                  45.0                  NaN   \n",
       "36            154.0                  45.0                  NaN   \n",
       "37            127.0                  45.0                  NaN   \n",
       "38            121.0                  45.0                  NaN   \n",
       "39            103.0                  45.0                  NaN   \n",
       "40             89.0                  45.0                  NaN   \n",
       "41             83.0                  45.0                  NaN   \n",
       "42             73.0                  45.0                  NaN   \n",
       "43            159.0                  45.0                  NaN   \n",
       "44             71.0                  45.0                  NaN   \n",
       "45            141.0                  45.0                  NaN   \n",
       "46            188.0                  45.0                  NaN   \n",
       "47            194.0                  45.0                  NaN   \n",
       "48            140.0                  45.0                  NaN   \n",
       "49            118.0                  45.0                  NaN   \n",
       "50            134.0                  45.0                  NaN   \n",
       "51            110.0                  45.0                  NaN   \n",
       "52            106.0                  45.0                  NaN   \n",
       "53            115.0                  45.0                  NaN   \n",
       "54             82.0                  45.0                  NaN   \n",
       "55             59.0                  45.0                  NaN   \n",
       "56             87.0                  45.0                  NaN   \n",
       "57             45.0                  45.0                  NaN   \n",
       "58             43.0                  45.0                  NaN   \n",
       "59             69.0                  45.0                  NaN   \n",
       "60             39.0                  45.0                  NaN   \n",
       "61            177.0                  45.0                  NaN   \n",
       "62            155.0                  45.0                  NaN   \n",
       "63            178.0                  45.0                  NaN   \n",
       "64            150.0                  45.0                  NaN   \n",
       "65              1.0                  45.0                  NaN   \n",
       "66              NaN                   NaN                  NaN   \n",
       "\n",
       "    tippingPoint26_all_2020  freq26_tipacc_2020  tippingPoint26_acc_2020  \\\n",
       "0                    1038.0                 0.0                   1037.0   \n",
       "1                     539.0                 2.0                    539.0   \n",
       "2                     531.0                 1.0                    531.0   \n",
       "3                     327.0                 3.0                    327.0   \n",
       "4                     247.0                 4.0                    184.0   \n",
       "5                     184.0                 NaN                      NaN   \n",
       "6                     101.0                 NaN                      NaN   \n",
       "7                       4.0                 NaN                      NaN   \n",
       "8                       NaN                 NaN                      NaN   \n",
       "9                       NaN                 NaN                      NaN   \n",
       "10                      NaN                 NaN                      NaN   \n",
       "11                      NaN                 NaN                      NaN   \n",
       "12                      NaN                 NaN                      NaN   \n",
       "13                      NaN                 NaN                      NaN   \n",
       "14                      NaN                 NaN                      NaN   \n",
       "15                      NaN                 NaN                      NaN   \n",
       "16                      NaN                 NaN                      NaN   \n",
       "17                      NaN                 NaN                      NaN   \n",
       "18                      NaN                 NaN                      NaN   \n",
       "19                      NaN                 NaN                      NaN   \n",
       "20                      NaN                 NaN                      NaN   \n",
       "21                      NaN                 NaN                      NaN   \n",
       "22                      NaN                 NaN                      NaN   \n",
       "23                      NaN                 NaN                      NaN   \n",
       "24                      NaN                 NaN                      NaN   \n",
       "25                      NaN                 NaN                      NaN   \n",
       "26                      NaN                 NaN                      NaN   \n",
       "27                      NaN                 NaN                      NaN   \n",
       "28                      NaN                 NaN                      NaN   \n",
       "29                      NaN                 NaN                      NaN   \n",
       "30                      NaN                 NaN                      NaN   \n",
       "31                      NaN                 NaN                      NaN   \n",
       "32                      NaN                 NaN                      NaN   \n",
       "33                      NaN                 NaN                      NaN   \n",
       "34                      NaN                 NaN                      NaN   \n",
       "35                      NaN                 NaN                      NaN   \n",
       "36                      NaN                 NaN                      NaN   \n",
       "37                      NaN                 NaN                      NaN   \n",
       "38                      NaN                 NaN                      NaN   \n",
       "39                      NaN                 NaN                      NaN   \n",
       "40                      NaN                 NaN                      NaN   \n",
       "41                      NaN                 NaN                      NaN   \n",
       "42                      NaN                 NaN                      NaN   \n",
       "43                      NaN                 NaN                      NaN   \n",
       "44                      NaN                 NaN                      NaN   \n",
       "45                      NaN                 NaN                      NaN   \n",
       "46                      NaN                 NaN                      NaN   \n",
       "47                      NaN                 NaN                      NaN   \n",
       "48                      NaN                 NaN                      NaN   \n",
       "49                      NaN                 NaN                      NaN   \n",
       "50                      NaN                 NaN                      NaN   \n",
       "51                      NaN                 NaN                      NaN   \n",
       "52                      NaN                 NaN                      NaN   \n",
       "53                      NaN                 NaN                      NaN   \n",
       "54                      NaN                 NaN                      NaN   \n",
       "55                      NaN                 NaN                      NaN   \n",
       "56                      NaN                 NaN                      NaN   \n",
       "57                      NaN                 NaN                      NaN   \n",
       "58                      NaN                 NaN                      NaN   \n",
       "59                      NaN                 NaN                      NaN   \n",
       "60                      NaN                 NaN                      NaN   \n",
       "61                      NaN                 NaN                      NaN   \n",
       "62                      NaN                 NaN                      NaN   \n",
       "63                      NaN                 NaN                      NaN   \n",
       "64                      NaN                 NaN                      NaN   \n",
       "65                      NaN                 NaN                      NaN   \n",
       "66                      NaN                 NaN                      NaN   \n",
       "\n",
       "    Policy26_2020  freq26_2020_policy  scenario26_2020  freq26_2020_scenario  \\\n",
       "0             0.0                66.0            109.0                  43.0   \n",
       "1            41.0                66.0            127.0                  43.0   \n",
       "2            18.0                66.0             31.0                  43.0   \n",
       "3            25.0                66.0            194.0                  43.0   \n",
       "4            16.0                66.0             69.0                  42.0   \n",
       "5            14.0                66.0            118.0                  42.0   \n",
       "6            13.0                66.0             87.0                  42.0   \n",
       "7            29.0                66.0             96.0                  42.0   \n",
       "8            30.0                66.0            129.0                  42.0   \n",
       "9            12.0                66.0             65.0                  41.0   \n",
       "10           32.0                66.0            138.0                  41.0   \n",
       "11           34.0                66.0             85.0                  41.0   \n",
       "12           10.0                66.0             88.0                  41.0   \n",
       "13           40.0                66.0             54.0                  41.0   \n",
       "14           42.0                66.0             44.0                  41.0   \n",
       "15            6.0                66.0             29.0                  41.0   \n",
       "16           33.0                66.0             23.0                  41.0   \n",
       "17            4.0                66.0              5.0                  41.0   \n",
       "18           37.0                66.0             45.0                  41.0   \n",
       "19            1.0                66.0            143.0                  41.0   \n",
       "20            7.0                65.0            115.0                  41.0   \n",
       "21           20.0                65.0             73.0                  41.0   \n",
       "22           22.0                65.0            134.0                  41.0   \n",
       "23           23.0                64.0              1.0                  40.0   \n",
       "24           15.0                63.0            158.0                  40.0   \n",
       "25            8.0                63.0             20.0                  40.0   \n",
       "26           39.0                62.0            121.0                  40.0   \n",
       "27            3.0                62.0             89.0                  40.0   \n",
       "28           28.0                62.0             58.0                  40.0   \n",
       "29            5.0                62.0             68.0                  40.0   \n",
       "30           17.0                61.0            159.0                  40.0   \n",
       "31           31.0                60.0             59.0                  40.0   \n",
       "32           38.0                59.0            171.0                  40.0   \n",
       "33            2.0                59.0            144.0                  40.0   \n",
       "34           27.0                57.0            150.0                  40.0   \n",
       "35           43.0                53.0            106.0                  40.0   \n",
       "36           35.0                50.0             43.0                  40.0   \n",
       "37           21.0                45.0            154.0                  40.0   \n",
       "38           26.0                41.0            155.0                  40.0   \n",
       "39           24.0                41.0             99.0                  39.0   \n",
       "40           44.0                37.0            110.0                  39.0   \n",
       "41           11.0                31.0             40.0                  39.0   \n",
       "42           36.0                26.0              6.0                  39.0   \n",
       "43            9.0                25.0             62.0                  39.0   \n",
       "44           19.0                20.0            188.0                  39.0   \n",
       "45            NaN                 NaN              7.0                  39.0   \n",
       "46            NaN                 NaN            165.0                  39.0   \n",
       "47            NaN                 NaN            119.0                  39.0   \n",
       "48            NaN                 NaN             14.0                  39.0   \n",
       "49            NaN                 NaN            140.0                  38.0   \n",
       "50            NaN                 NaN            141.0                  38.0   \n",
       "51            NaN                 NaN             83.0                  38.0   \n",
       "52            NaN                 NaN            178.0                  38.0   \n",
       "53            NaN                 NaN             30.0                  38.0   \n",
       "54            NaN                 NaN            103.0                  38.0   \n",
       "55            NaN                 NaN             25.0                  38.0   \n",
       "56            NaN                 NaN            128.0                  38.0   \n",
       "57            NaN                 NaN             18.0                  38.0   \n",
       "58            NaN                 NaN             71.0                  38.0   \n",
       "59            NaN                 NaN             64.0                  37.0   \n",
       "60            NaN                 NaN             21.0                  37.0   \n",
       "61            NaN                 NaN             75.0                  37.0   \n",
       "62            NaN                 NaN             82.0                  36.0   \n",
       "63            NaN                 NaN             39.0                  36.0   \n",
       "64            NaN                 NaN            177.0                  35.0   \n",
       "65            NaN                 NaN            124.0                  34.0   \n",
       "66            NaN                 NaN              NaN                   NaN   \n",
       "\n",
       "    freq26_tip_all_2050  tippingPoint26_all_2050  freq26_tipacc_2050  \\\n",
       "0                   0.0                    722.0                 0.0   \n",
       "1                   1.0                    521.0                 1.0   \n",
       "2                   3.0                    514.0                 3.0   \n",
       "3                   2.0                    350.0                 2.0   \n",
       "4                   4.0                    316.0                 4.0   \n",
       "5                   5.0                    218.0                 NaN   \n",
       "6                   6.0                    190.0                 NaN   \n",
       "7                   7.0                    107.0                 NaN   \n",
       "8                   8.0                     33.0                 NaN   \n",
       "9                   NaN                      NaN                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint26_acc_2050  Policy26_2050  freq26_2050_policy  \\\n",
       "0                     721.0           16.0                66.0   \n",
       "1                     521.0            7.0                66.0   \n",
       "2                     514.0           12.0                66.0   \n",
       "3                     350.0           10.0                66.0   \n",
       "4                     316.0           29.0                66.0   \n",
       "5                       NaN           30.0                66.0   \n",
       "6                       NaN           18.0                66.0   \n",
       "7                       NaN           32.0                66.0   \n",
       "8                       NaN           34.0                66.0   \n",
       "9                       NaN            6.0                66.0   \n",
       "10                      NaN           25.0                66.0   \n",
       "11                      NaN           40.0                66.0   \n",
       "12                      NaN           42.0                66.0   \n",
       "13                      NaN           14.0                66.0   \n",
       "14                      NaN           33.0                66.0   \n",
       "15                      NaN           41.0                66.0   \n",
       "16                      NaN           37.0                66.0   \n",
       "17                      NaN            1.0                66.0   \n",
       "18                      NaN           13.0                66.0   \n",
       "19                      NaN            0.0                65.0   \n",
       "20                      NaN            4.0                65.0   \n",
       "21                      NaN           23.0                63.0   \n",
       "22                      NaN           20.0                63.0   \n",
       "23                      NaN           15.0                62.0   \n",
       "24                      NaN            8.0                62.0   \n",
       "25                      NaN            3.0                61.0   \n",
       "26                      NaN           22.0                60.0   \n",
       "27                      NaN           28.0                60.0   \n",
       "28                      NaN            5.0                59.0   \n",
       "29                      NaN           39.0                56.0   \n",
       "30                      NaN           38.0                54.0   \n",
       "31                      NaN           31.0                53.0   \n",
       "32                      NaN           17.0                52.0   \n",
       "33                      NaN           27.0                46.0   \n",
       "34                      NaN            2.0                46.0   \n",
       "35                      NaN           43.0                41.0   \n",
       "36                      NaN           35.0                39.0   \n",
       "37                      NaN           24.0                32.0   \n",
       "38                      NaN           21.0                30.0   \n",
       "39                      NaN           26.0                23.0   \n",
       "40                      NaN           11.0                18.0   \n",
       "41                      NaN            9.0                17.0   \n",
       "42                      NaN           36.0                17.0   \n",
       "43                      NaN           44.0                13.0   \n",
       "44                      NaN           19.0                11.0   \n",
       "45                      NaN            NaN                 NaN   \n",
       "46                      NaN            NaN                 NaN   \n",
       "47                      NaN            NaN                 NaN   \n",
       "48                      NaN            NaN                 NaN   \n",
       "49                      NaN            NaN                 NaN   \n",
       "50                      NaN            NaN                 NaN   \n",
       "51                      NaN            NaN                 NaN   \n",
       "52                      NaN            NaN                 NaN   \n",
       "53                      NaN            NaN                 NaN   \n",
       "54                      NaN            NaN                 NaN   \n",
       "55                      NaN            NaN                 NaN   \n",
       "56                      NaN            NaN                 NaN   \n",
       "57                      NaN            NaN                 NaN   \n",
       "58                      NaN            NaN                 NaN   \n",
       "59                      NaN            NaN                 NaN   \n",
       "60                      NaN            NaN                 NaN   \n",
       "61                      NaN            NaN                 NaN   \n",
       "62                      NaN            NaN                 NaN   \n",
       "63                      NaN            NaN                 NaN   \n",
       "64                      NaN            NaN                 NaN   \n",
       "65                      NaN            NaN                 NaN   \n",
       "66                      NaN            NaN                 NaN   \n",
       "\n",
       "    scenario26_2050  freq26_2050_scenario  freq26_tip_all_2070  \\\n",
       "0             138.0                  42.0                  0.0   \n",
       "1              75.0                  40.0                  1.0   \n",
       "2              30.0                  40.0                  4.0   \n",
       "3             115.0                  40.0                  2.0   \n",
       "4              31.0                  40.0                  5.0   \n",
       "5             158.0                  40.0                  3.0   \n",
       "6             143.0                  39.0                  6.0   \n",
       "7             155.0                  39.0                  7.0   \n",
       "8             178.0                  39.0                  8.0   \n",
       "9              54.0                  39.0                  NaN   \n",
       "10            127.0                  39.0                  NaN   \n",
       "11            128.0                  38.0                  NaN   \n",
       "12             65.0                  38.0                  NaN   \n",
       "13            171.0                  38.0                  NaN   \n",
       "14             43.0                  38.0                  NaN   \n",
       "15             44.0                  38.0                  NaN   \n",
       "16             29.0                  38.0                  NaN   \n",
       "17             18.0                  38.0                  NaN   \n",
       "18             69.0                  38.0                  NaN   \n",
       "19            109.0                  38.0                  NaN   \n",
       "20            118.0                  38.0                  NaN   \n",
       "21            124.0                  37.0                  NaN   \n",
       "22             96.0                  37.0                  NaN   \n",
       "23            129.0                  37.0                  NaN   \n",
       "24             68.0                  37.0                  NaN   \n",
       "25             62.0                  37.0                  NaN   \n",
       "26             73.0                  37.0                  NaN   \n",
       "27             99.0                  37.0                  NaN   \n",
       "28            194.0                  37.0                  NaN   \n",
       "29             59.0                  37.0                  NaN   \n",
       "30            121.0                  37.0                  NaN   \n",
       "31            150.0                  37.0                  NaN   \n",
       "32            110.0                  37.0                  NaN   \n",
       "33             21.0                  37.0                  NaN   \n",
       "34              7.0                  37.0                  NaN   \n",
       "35              5.0                  37.0                  NaN   \n",
       "36            159.0                  37.0                  NaN   \n",
       "37             83.0                  36.0                  NaN   \n",
       "38            134.0                  36.0                  NaN   \n",
       "39             58.0                  36.0                  NaN   \n",
       "40             20.0                  36.0                  NaN   \n",
       "41             64.0                  36.0                  NaN   \n",
       "42            154.0                  36.0                  NaN   \n",
       "43             82.0                  36.0                  NaN   \n",
       "44            140.0                  36.0                  NaN   \n",
       "45             71.0                  36.0                  NaN   \n",
       "46             87.0                  36.0                  NaN   \n",
       "47            188.0                  36.0                  NaN   \n",
       "48            119.0                  36.0                  NaN   \n",
       "49            106.0                  36.0                  NaN   \n",
       "50            144.0                  35.0                  NaN   \n",
       "51             45.0                  35.0                  NaN   \n",
       "52             14.0                  35.0                  NaN   \n",
       "53             88.0                  35.0                  NaN   \n",
       "54            177.0                  35.0                  NaN   \n",
       "55             89.0                  35.0                  NaN   \n",
       "56             85.0                  35.0                  NaN   \n",
       "57            141.0                  35.0                  NaN   \n",
       "58             23.0                  34.0                  NaN   \n",
       "59            103.0                  34.0                  NaN   \n",
       "60              1.0                  34.0                  NaN   \n",
       "61             39.0                  33.0                  NaN   \n",
       "62             40.0                  33.0                  NaN   \n",
       "63              6.0                  33.0                  NaN   \n",
       "64             25.0                  32.0                  NaN   \n",
       "65            165.0                  32.0                  NaN   \n",
       "66              NaN                   NaN                  NaN   \n",
       "\n",
       "    tippingPoint26_all_2070  freq26_tipacc_2070  tippingPoint26_acc_2070  \\\n",
       "0                     703.0                 0.0                    702.0   \n",
       "1                     464.0                 1.0                    464.0   \n",
       "2                     411.0                 4.0                    411.0   \n",
       "3                     395.0                 2.0                    395.0   \n",
       "4                     335.0                 3.0                    310.0   \n",
       "5                     310.0                 NaN                      NaN   \n",
       "6                     250.0                 NaN                      NaN   \n",
       "7                      83.0                 NaN                      NaN   \n",
       "8                      20.0                 NaN                      NaN   \n",
       "9                       NaN                 NaN                      NaN   \n",
       "10                      NaN                 NaN                      NaN   \n",
       "11                      NaN                 NaN                      NaN   \n",
       "12                      NaN                 NaN                      NaN   \n",
       "13                      NaN                 NaN                      NaN   \n",
       "14                      NaN                 NaN                      NaN   \n",
       "15                      NaN                 NaN                      NaN   \n",
       "16                      NaN                 NaN                      NaN   \n",
       "17                      NaN                 NaN                      NaN   \n",
       "18                      NaN                 NaN                      NaN   \n",
       "19                      NaN                 NaN                      NaN   \n",
       "20                      NaN                 NaN                      NaN   \n",
       "21                      NaN                 NaN                      NaN   \n",
       "22                      NaN                 NaN                      NaN   \n",
       "23                      NaN                 NaN                      NaN   \n",
       "24                      NaN                 NaN                      NaN   \n",
       "25                      NaN                 NaN                      NaN   \n",
       "26                      NaN                 NaN                      NaN   \n",
       "27                      NaN                 NaN                      NaN   \n",
       "28                      NaN                 NaN                      NaN   \n",
       "29                      NaN                 NaN                      NaN   \n",
       "30                      NaN                 NaN                      NaN   \n",
       "31                      NaN                 NaN                      NaN   \n",
       "32                      NaN                 NaN                      NaN   \n",
       "33                      NaN                 NaN                      NaN   \n",
       "34                      NaN                 NaN                      NaN   \n",
       "35                      NaN                 NaN                      NaN   \n",
       "36                      NaN                 NaN                      NaN   \n",
       "37                      NaN                 NaN                      NaN   \n",
       "38                      NaN                 NaN                      NaN   \n",
       "39                      NaN                 NaN                      NaN   \n",
       "40                      NaN                 NaN                      NaN   \n",
       "41                      NaN                 NaN                      NaN   \n",
       "42                      NaN                 NaN                      NaN   \n",
       "43                      NaN                 NaN                      NaN   \n",
       "44                      NaN                 NaN                      NaN   \n",
       "45                      NaN                 NaN                      NaN   \n",
       "46                      NaN                 NaN                      NaN   \n",
       "47                      NaN                 NaN                      NaN   \n",
       "48                      NaN                 NaN                      NaN   \n",
       "49                      NaN                 NaN                      NaN   \n",
       "50                      NaN                 NaN                      NaN   \n",
       "51                      NaN                 NaN                      NaN   \n",
       "52                      NaN                 NaN                      NaN   \n",
       "53                      NaN                 NaN                      NaN   \n",
       "54                      NaN                 NaN                      NaN   \n",
       "55                      NaN                 NaN                      NaN   \n",
       "56                      NaN                 NaN                      NaN   \n",
       "57                      NaN                 NaN                      NaN   \n",
       "58                      NaN                 NaN                      NaN   \n",
       "59                      NaN                 NaN                      NaN   \n",
       "60                      NaN                 NaN                      NaN   \n",
       "61                      NaN                 NaN                      NaN   \n",
       "62                      NaN                 NaN                      NaN   \n",
       "63                      NaN                 NaN                      NaN   \n",
       "64                      NaN                 NaN                      NaN   \n",
       "65                      NaN                 NaN                      NaN   \n",
       "66                      NaN                 NaN                      NaN   \n",
       "\n",
       "    Policy26_2070  freq26_2070_policy  scenario26_2070  freq26_2070_scenario  \\\n",
       "0            32.0                66.0            138.0                  40.0   \n",
       "1            40.0                66.0            158.0                  39.0   \n",
       "2            14.0                66.0             43.0                  38.0   \n",
       "3            13.0                66.0            155.0                  38.0   \n",
       "4            10.0                66.0             96.0                  38.0   \n",
       "5            18.0                66.0            194.0                  38.0   \n",
       "6            41.0                66.0             75.0                  37.0   \n",
       "7            16.0                66.0            154.0                  37.0   \n",
       "8            37.0                66.0             20.0                  37.0   \n",
       "9             1.0                66.0             31.0                  37.0   \n",
       "10           25.0                66.0            143.0                  36.0   \n",
       "11           42.0                65.0            129.0                  36.0   \n",
       "12            6.0                65.0             65.0                  36.0   \n",
       "13           34.0                65.0            115.0                  36.0   \n",
       "14           33.0                65.0             54.0                  36.0   \n",
       "15           30.0                65.0             58.0                  36.0   \n",
       "16           12.0                65.0             44.0                  36.0   \n",
       "17            7.0                64.0             82.0                  36.0   \n",
       "18            4.0                63.0            119.0                  36.0   \n",
       "19           29.0                63.0             73.0                  36.0   \n",
       "20            0.0                62.0            118.0                  36.0   \n",
       "21           20.0                62.0            110.0                  36.0   \n",
       "22           23.0                61.0              1.0                  36.0   \n",
       "23            8.0                60.0             87.0                  35.0   \n",
       "24           15.0                59.0            150.0                  35.0   \n",
       "25           22.0                59.0             18.0                  35.0   \n",
       "26           28.0                58.0             29.0                  35.0   \n",
       "27           38.0                52.0            134.0                  35.0   \n",
       "28            3.0                52.0             99.0                  35.0   \n",
       "29            5.0                52.0            109.0                  35.0   \n",
       "30           39.0                51.0            128.0                  35.0   \n",
       "31           31.0                50.0            177.0                  35.0   \n",
       "32           17.0                44.0             59.0                  35.0   \n",
       "33            2.0                41.0             68.0                  34.0   \n",
       "34           27.0                34.0            144.0                  34.0   \n",
       "35           43.0                32.0              5.0                  34.0   \n",
       "36           35.0                26.0             14.0                  34.0   \n",
       "37           24.0                23.0            127.0                  34.0   \n",
       "38           21.0                22.0             21.0                  34.0   \n",
       "39           11.0                17.0            121.0                  34.0   \n",
       "40            9.0                15.0            188.0                  34.0   \n",
       "41           26.0                14.0            124.0                  34.0   \n",
       "42           36.0                12.0             45.0                  34.0   \n",
       "43           44.0                11.0            106.0                  34.0   \n",
       "44           19.0                 7.0            141.0                  34.0   \n",
       "45            NaN                 NaN            140.0                  34.0   \n",
       "46            NaN                 NaN             85.0                  34.0   \n",
       "47            NaN                 NaN             83.0                  33.0   \n",
       "48            NaN                 NaN            171.0                  33.0   \n",
       "49            NaN                 NaN              7.0                  33.0   \n",
       "50            NaN                 NaN            159.0                  33.0   \n",
       "51            NaN                 NaN             71.0                  33.0   \n",
       "52            NaN                 NaN             23.0                  33.0   \n",
       "53            NaN                 NaN             69.0                  32.0   \n",
       "54            NaN                 NaN             25.0                  32.0   \n",
       "55            NaN                 NaN            178.0                  32.0   \n",
       "56            NaN                 NaN             64.0                  32.0   \n",
       "57            NaN                 NaN             30.0                  32.0   \n",
       "58            NaN                 NaN            103.0                  32.0   \n",
       "59            NaN                 NaN             89.0                  32.0   \n",
       "60            NaN                 NaN             62.0                  32.0   \n",
       "61            NaN                 NaN             88.0                  32.0   \n",
       "62            NaN                 NaN            165.0                  31.0   \n",
       "63            NaN                 NaN              6.0                  31.0   \n",
       "64            NaN                 NaN             39.0                  31.0   \n",
       "65            NaN                 NaN             40.0                  30.0   \n",
       "66            NaN                 NaN              NaN                   NaN   \n",
       "\n",
       "    freq45_tip_all_1980  tippingPoint45_all_1980  ...  scenario45_2070  \\\n",
       "0                   0.0                   1867.0  ...            133.0   \n",
       "1                   1.0                    551.0  ...             26.0   \n",
       "2                   2.0                    285.0  ...             72.0   \n",
       "3                   3.0                    140.0  ...            179.0   \n",
       "4                   5.0                    112.0  ...            183.0   \n",
       "5                   4.0                    106.0  ...             15.0   \n",
       "6                   NaN                      NaN  ...            185.0   \n",
       "7                   NaN                      NaN  ...             56.0   \n",
       "8                   NaN                      NaN  ...            100.0   \n",
       "9                   NaN                      NaN  ...            162.0   \n",
       "10                  NaN                      NaN  ...            105.0   \n",
       "11                  NaN                      NaN  ...            152.0   \n",
       "12                  NaN                      NaN  ...             11.0   \n",
       "13                  NaN                      NaN  ...            145.0   \n",
       "14                  NaN                      NaN  ...            170.0   \n",
       "15                  NaN                      NaN  ...            167.0   \n",
       "16                  NaN                      NaN  ...             70.0   \n",
       "17                  NaN                      NaN  ...             36.0   \n",
       "18                  NaN                      NaN  ...             27.0   \n",
       "19                  NaN                      NaN  ...             17.0   \n",
       "20                  NaN                      NaN  ...             51.0   \n",
       "21                  NaN                      NaN  ...            116.0   \n",
       "22                  NaN                      NaN  ...            108.0   \n",
       "23                  NaN                      NaN  ...            131.0   \n",
       "24                  NaN                      NaN  ...             32.0   \n",
       "25                  NaN                      NaN  ...             34.0   \n",
       "26                  NaN                      NaN  ...             22.0   \n",
       "27                  NaN                      NaN  ...             77.0   \n",
       "28                  NaN                      NaN  ...             66.0   \n",
       "29                  NaN                      NaN  ...            122.0   \n",
       "30                  NaN                      NaN  ...             52.0   \n",
       "31                  NaN                      NaN  ...            192.0   \n",
       "32                  NaN                      NaN  ...             24.0   \n",
       "33                  NaN                      NaN  ...            137.0   \n",
       "34                  NaN                      NaN  ...              4.0   \n",
       "35                  NaN                      NaN  ...             47.0   \n",
       "36                  NaN                      NaN  ...            182.0   \n",
       "37                  NaN                      NaN  ...             53.0   \n",
       "38                  NaN                      NaN  ...            125.0   \n",
       "39                  NaN                      NaN  ...            161.0   \n",
       "40                  NaN                      NaN  ...             50.0   \n",
       "41                  NaN                      NaN  ...             84.0   \n",
       "42                  NaN                      NaN  ...             61.0   \n",
       "43                  NaN                      NaN  ...             49.0   \n",
       "44                  NaN                      NaN  ...            173.0   \n",
       "45                  NaN                      NaN  ...             46.0   \n",
       "46                  NaN                      NaN  ...             33.0   \n",
       "47                  NaN                      NaN  ...              8.0   \n",
       "48                  NaN                      NaN  ...            135.0   \n",
       "49                  NaN                      NaN  ...             19.0   \n",
       "50                  NaN                      NaN  ...             93.0   \n",
       "51                  NaN                      NaN  ...             67.0   \n",
       "52                  NaN                      NaN  ...             97.0   \n",
       "53                  NaN                      NaN  ...            184.0   \n",
       "54                  NaN                      NaN  ...            197.0   \n",
       "55                  NaN                      NaN  ...            117.0   \n",
       "56                  NaN                      NaN  ...             10.0   \n",
       "57                  NaN                      NaN  ...            181.0   \n",
       "58                  NaN                      NaN  ...             94.0   \n",
       "59                  NaN                      NaN  ...            132.0   \n",
       "60                  NaN                      NaN  ...            147.0   \n",
       "61                  NaN                      NaN  ...            160.0   \n",
       "62                  NaN                      NaN  ...             60.0   \n",
       "63                  NaN                      NaN  ...             41.0   \n",
       "64                  NaN                      NaN  ...            130.0   \n",
       "65                  NaN                      NaN  ...              0.0   \n",
       "66                  NaN                      NaN  ...            174.0   \n",
       "\n",
       "    freq45_2070_scenario  freq85_tip_all_1980  tippingPoint85_all_1980  \\\n",
       "0                   28.0                  0.0                   1867.0   \n",
       "1                   27.0                  1.0                    551.0   \n",
       "2                   27.0                  2.0                    285.0   \n",
       "3                   27.0                  3.0                    140.0   \n",
       "4                   26.0                  5.0                    112.0   \n",
       "5                   26.0                  4.0                    106.0   \n",
       "6                   26.0                  NaN                      NaN   \n",
       "7                   25.0                  NaN                      NaN   \n",
       "8                   25.0                  NaN                      NaN   \n",
       "9                   25.0                  NaN                      NaN   \n",
       "10                  25.0                  NaN                      NaN   \n",
       "11                  25.0                  NaN                      NaN   \n",
       "12                  25.0                  NaN                      NaN   \n",
       "13                  24.0                  NaN                      NaN   \n",
       "14                  24.0                  NaN                      NaN   \n",
       "15                  24.0                  NaN                      NaN   \n",
       "16                  24.0                  NaN                      NaN   \n",
       "17                  24.0                  NaN                      NaN   \n",
       "18                  24.0                  NaN                      NaN   \n",
       "19                  24.0                  NaN                      NaN   \n",
       "20                  23.0                  NaN                      NaN   \n",
       "21                  23.0                  NaN                      NaN   \n",
       "22                  23.0                  NaN                      NaN   \n",
       "23                  23.0                  NaN                      NaN   \n",
       "24                  23.0                  NaN                      NaN   \n",
       "25                  23.0                  NaN                      NaN   \n",
       "26                  23.0                  NaN                      NaN   \n",
       "27                  23.0                  NaN                      NaN   \n",
       "28                  23.0                  NaN                      NaN   \n",
       "29                  23.0                  NaN                      NaN   \n",
       "30                  22.0                  NaN                      NaN   \n",
       "31                  22.0                  NaN                      NaN   \n",
       "32                  22.0                  NaN                      NaN   \n",
       "33                  22.0                  NaN                      NaN   \n",
       "34                  22.0                  NaN                      NaN   \n",
       "35                  22.0                  NaN                      NaN   \n",
       "36                  22.0                  NaN                      NaN   \n",
       "37                  22.0                  NaN                      NaN   \n",
       "38                  22.0                  NaN                      NaN   \n",
       "39                  22.0                  NaN                      NaN   \n",
       "40                  21.0                  NaN                      NaN   \n",
       "41                  21.0                  NaN                      NaN   \n",
       "42                  21.0                  NaN                      NaN   \n",
       "43                  21.0                  NaN                      NaN   \n",
       "44                  21.0                  NaN                      NaN   \n",
       "45                  21.0                  NaN                      NaN   \n",
       "46                  20.0                  NaN                      NaN   \n",
       "47                  20.0                  NaN                      NaN   \n",
       "48                  20.0                  NaN                      NaN   \n",
       "49                  20.0                  NaN                      NaN   \n",
       "50                  20.0                  NaN                      NaN   \n",
       "51                  20.0                  NaN                      NaN   \n",
       "52                  19.0                  NaN                      NaN   \n",
       "53                  19.0                  NaN                      NaN   \n",
       "54                  19.0                  NaN                      NaN   \n",
       "55                  19.0                  NaN                      NaN   \n",
       "56                  19.0                  NaN                      NaN   \n",
       "57                  19.0                  NaN                      NaN   \n",
       "58                  19.0                  NaN                      NaN   \n",
       "59                  18.0                  NaN                      NaN   \n",
       "60                  18.0                  NaN                      NaN   \n",
       "61                  18.0                  NaN                      NaN   \n",
       "62                  18.0                  NaN                      NaN   \n",
       "63                  18.0                  NaN                      NaN   \n",
       "64                  17.0                  NaN                      NaN   \n",
       "65                  17.0                  NaN                      NaN   \n",
       "66                  17.0                  NaN                      NaN   \n",
       "\n",
       "    freq85_tipacc_1980  tippingPoint85_acc_1980  Policy85_1980  \\\n",
       "0                  0.0                   1866.0           43.0   \n",
       "1                  1.0                    551.0           21.0   \n",
       "2                  2.0                    285.0           19.0   \n",
       "3                  3.0                    140.0           18.0   \n",
       "4                  5.0                    112.0           17.0   \n",
       "5                  4.0                    106.0           16.0   \n",
       "6                  NaN                      NaN           15.0   \n",
       "7                  NaN                      NaN           14.0   \n",
       "8                  NaN                      NaN           13.0   \n",
       "9                  NaN                      NaN           12.0   \n",
       "10                 NaN                      NaN           11.0   \n",
       "11                 NaN                      NaN           10.0   \n",
       "12                 NaN                      NaN            9.0   \n",
       "13                 NaN                      NaN            8.0   \n",
       "14                 NaN                      NaN            7.0   \n",
       "15                 NaN                      NaN            6.0   \n",
       "16                 NaN                      NaN            5.0   \n",
       "17                 NaN                      NaN            4.0   \n",
       "18                 NaN                      NaN            3.0   \n",
       "19                 NaN                      NaN            2.0   \n",
       "20                 NaN                      NaN            1.0   \n",
       "21                 NaN                      NaN           20.0   \n",
       "22                 NaN                      NaN           22.0   \n",
       "23                 NaN                      NaN           41.0   \n",
       "24                 NaN                      NaN           23.0   \n",
       "25                 NaN                      NaN           39.0   \n",
       "26                 NaN                      NaN           37.0   \n",
       "27                 NaN                      NaN           35.0   \n",
       "28                 NaN                      NaN           33.0   \n",
       "29                 NaN                      NaN           44.0   \n",
       "30                 NaN                      NaN           42.0   \n",
       "31                 NaN                      NaN           40.0   \n",
       "32                 NaN                      NaN           38.0   \n",
       "33                 NaN                      NaN           36.0   \n",
       "34                 NaN                      NaN           34.0   \n",
       "35                 NaN                      NaN           32.0   \n",
       "36                 NaN                      NaN           31.0   \n",
       "37                 NaN                      NaN           30.0   \n",
       "38                 NaN                      NaN           29.0   \n",
       "39                 NaN                      NaN           28.0   \n",
       "40                 NaN                      NaN           27.0   \n",
       "41                 NaN                      NaN           26.0   \n",
       "42                 NaN                      NaN           25.0   \n",
       "43                 NaN                      NaN           24.0   \n",
       "44                 NaN                      NaN            0.0   \n",
       "45                 NaN                      NaN            NaN   \n",
       "46                 NaN                      NaN            NaN   \n",
       "47                 NaN                      NaN            NaN   \n",
       "48                 NaN                      NaN            NaN   \n",
       "49                 NaN                      NaN            NaN   \n",
       "50                 NaN                      NaN            NaN   \n",
       "51                 NaN                      NaN            NaN   \n",
       "52                 NaN                      NaN            NaN   \n",
       "53                 NaN                      NaN            NaN   \n",
       "54                 NaN                      NaN            NaN   \n",
       "55                 NaN                      NaN            NaN   \n",
       "56                 NaN                      NaN            NaN   \n",
       "57                 NaN                      NaN            NaN   \n",
       "58                 NaN                      NaN            NaN   \n",
       "59                 NaN                      NaN            NaN   \n",
       "60                 NaN                      NaN            NaN   \n",
       "61                 NaN                      NaN            NaN   \n",
       "62                 NaN                      NaN            NaN   \n",
       "63                 NaN                      NaN            NaN   \n",
       "64                 NaN                      NaN            NaN   \n",
       "65                 NaN                      NaN            NaN   \n",
       "66                 NaN                      NaN            NaN   \n",
       "\n",
       "    freq85_1980_policy  scenario85_1980  freq85_1980_scenario  \\\n",
       "0                 68.0            157.0                  45.0   \n",
       "1                 68.0            116.0                  45.0   \n",
       "2                 68.0             56.0                  45.0   \n",
       "3                 68.0             60.0                  45.0   \n",
       "4                 68.0             72.0                  45.0   \n",
       "5                 68.0             84.0                  45.0   \n",
       "6                 68.0            100.0                  45.0   \n",
       "7                 68.0            108.0                  45.0   \n",
       "8                 68.0            152.0                  45.0   \n",
       "9                 68.0            135.0                  45.0   \n",
       "10                68.0            160.0                  45.0   \n",
       "11                68.0            184.0                  45.0   \n",
       "12                68.0            192.0                  45.0   \n",
       "13                68.0            137.0                  45.0   \n",
       "14                68.0            179.0                  45.0   \n",
       "15                68.0            181.0                  45.0   \n",
       "16                68.0             52.0                  45.0   \n",
       "17                68.0             50.0                  45.0   \n",
       "18                68.0             46.0                  45.0   \n",
       "19                68.0             36.0                  45.0   \n",
       "20                68.0             34.0                  45.0   \n",
       "21                68.0             32.0                  45.0   \n",
       "22                68.0             27.0                  45.0   \n",
       "23                68.0             26.0                  45.0   \n",
       "24                68.0             24.0                  45.0   \n",
       "25                68.0             22.0                  45.0   \n",
       "26                68.0             19.0                  45.0   \n",
       "27                68.0             17.0                  45.0   \n",
       "28                68.0             15.0                  45.0   \n",
       "29                68.0             11.0                  45.0   \n",
       "30                68.0             10.0                  45.0   \n",
       "31                68.0              8.0                  45.0   \n",
       "32                68.0              4.0                  45.0   \n",
       "33                68.0             77.0                  45.0   \n",
       "34                68.0            145.0                  45.0   \n",
       "35                68.0            174.0                  45.0   \n",
       "36                68.0             66.0                  45.0   \n",
       "37                68.0            170.0                  45.0   \n",
       "38                68.0            125.0                  45.0   \n",
       "39                68.0            197.0                  45.0   \n",
       "40                68.0            182.0                  45.0   \n",
       "41                68.0             97.0                  45.0   \n",
       "42                68.0            147.0                  45.0   \n",
       "43                68.0             67.0                  45.0   \n",
       "44                68.0            185.0                  45.0   \n",
       "45                 NaN            167.0                  45.0   \n",
       "46                 NaN            133.0                  45.0   \n",
       "47                 NaN            132.0                  45.0   \n",
       "48                 NaN            122.0                  45.0   \n",
       "49                 NaN             94.0                  45.0   \n",
       "50                 NaN             70.0                  45.0   \n",
       "51                 NaN             61.0                  45.0   \n",
       "52                 NaN            105.0                  45.0   \n",
       "53                 NaN             53.0                  45.0   \n",
       "54                 NaN            162.0                  45.0   \n",
       "55                 NaN             51.0                  45.0   \n",
       "56                 NaN             49.0                  45.0   \n",
       "57                 NaN            117.0                  45.0   \n",
       "58                 NaN             47.0                  45.0   \n",
       "59                 NaN            173.0                  45.0   \n",
       "60                 NaN             41.0                  45.0   \n",
       "61                 NaN             93.0                  45.0   \n",
       "62                 NaN             33.0                  45.0   \n",
       "63                 NaN            183.0                  45.0   \n",
       "64                 NaN            161.0                  45.0   \n",
       "65                 NaN            131.0                  45.0   \n",
       "66                 NaN            130.0                  45.0   \n",
       "\n",
       "    freq85_tip_all_2020  tippingPoint85_all_2020  freq85_tipacc_2020  \\\n",
       "0                   0.0                    973.0                 0.0   \n",
       "1                   1.0                    689.0                 1.0   \n",
       "2                   3.0                    445.0                 3.0   \n",
       "3                   2.0                    376.0                 2.0   \n",
       "4                   4.0                    221.0                 4.0   \n",
       "5                   5.0                    165.0                 NaN   \n",
       "6                   6.0                    136.0                 NaN   \n",
       "7                   7.0                     52.0                 NaN   \n",
       "8                   8.0                      4.0                 NaN   \n",
       "9                   NaN                      NaN                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint85_acc_2020  Policy85_2020  freq85_2020_policy  \\\n",
       "0                     972.0           32.0                68.0   \n",
       "1                     689.0           20.0                68.0   \n",
       "2                     445.0           41.0                68.0   \n",
       "3                     376.0           23.0                68.0   \n",
       "4                     221.0           16.0                68.0   \n",
       "5                       NaN           25.0                68.0   \n",
       "6                       NaN           14.0                68.0   \n",
       "7                       NaN           13.0                68.0   \n",
       "8                       NaN           12.0                68.0   \n",
       "9                       NaN           30.0                68.0   \n",
       "10                      NaN           10.0                68.0   \n",
       "11                      NaN           18.0                68.0   \n",
       "12                      NaN           34.0                68.0   \n",
       "13                      NaN            7.0                68.0   \n",
       "14                      NaN           40.0                68.0   \n",
       "15                      NaN           42.0                68.0   \n",
       "16                      NaN            6.0                68.0   \n",
       "17                      NaN           33.0                68.0   \n",
       "18                      NaN            4.0                68.0   \n",
       "19                      NaN           37.0                68.0   \n",
       "20                      NaN            1.0                68.0   \n",
       "21                      NaN            8.0                67.0   \n",
       "22                      NaN           15.0                67.0   \n",
       "23                      NaN           22.0                67.0   \n",
       "24                      NaN            0.0                67.0   \n",
       "25                      NaN           28.0                67.0   \n",
       "26                      NaN           29.0                67.0   \n",
       "27                      NaN           39.0                64.0   \n",
       "28                      NaN            5.0                64.0   \n",
       "29                      NaN           38.0                64.0   \n",
       "30                      NaN            3.0                63.0   \n",
       "31                      NaN            2.0                62.0   \n",
       "32                      NaN           31.0                61.0   \n",
       "33                      NaN           17.0                61.0   \n",
       "34                      NaN           27.0                55.0   \n",
       "35                      NaN           35.0                48.0   \n",
       "36                      NaN           43.0                48.0   \n",
       "37                      NaN           21.0                45.0   \n",
       "38                      NaN           26.0                43.0   \n",
       "39                      NaN           24.0                42.0   \n",
       "40                      NaN           44.0                37.0   \n",
       "41                      NaN           36.0                34.0   \n",
       "42                      NaN            9.0                29.0   \n",
       "43                      NaN           11.0                29.0   \n",
       "44                      NaN           19.0                24.0   \n",
       "45                      NaN            NaN                 NaN   \n",
       "46                      NaN            NaN                 NaN   \n",
       "47                      NaN            NaN                 NaN   \n",
       "48                      NaN            NaN                 NaN   \n",
       "49                      NaN            NaN                 NaN   \n",
       "50                      NaN            NaN                 NaN   \n",
       "51                      NaN            NaN                 NaN   \n",
       "52                      NaN            NaN                 NaN   \n",
       "53                      NaN            NaN                 NaN   \n",
       "54                      NaN            NaN                 NaN   \n",
       "55                      NaN            NaN                 NaN   \n",
       "56                      NaN            NaN                 NaN   \n",
       "57                      NaN            NaN                 NaN   \n",
       "58                      NaN            NaN                 NaN   \n",
       "59                      NaN            NaN                 NaN   \n",
       "60                      NaN            NaN                 NaN   \n",
       "61                      NaN            NaN                 NaN   \n",
       "62                      NaN            NaN                 NaN   \n",
       "63                      NaN            NaN                 NaN   \n",
       "64                      NaN            NaN                 NaN   \n",
       "65                      NaN            NaN                 NaN   \n",
       "66                      NaN            NaN                 NaN   \n",
       "\n",
       "    scenario85_2020  freq85_2020_scenario  freq85_tip_all_2050  \\\n",
       "0             179.0                  43.0                  5.0   \n",
       "1              67.0                  43.0                  0.0   \n",
       "2              77.0                  43.0                  3.0   \n",
       "3             132.0                  42.0                  1.0   \n",
       "4             174.0                  42.0                  6.0   \n",
       "5             183.0                  42.0                  4.0   \n",
       "6              24.0                  42.0                  2.0   \n",
       "7              17.0                  42.0                  7.0   \n",
       "8             116.0                  42.0                  8.0   \n",
       "9              52.0                  42.0                  9.0   \n",
       "10             47.0                  42.0                  NaN   \n",
       "11             34.0                  42.0                  NaN   \n",
       "12            192.0                  42.0                  NaN   \n",
       "13            147.0                  41.0                  NaN   \n",
       "14            122.0                  41.0                  NaN   \n",
       "15            130.0                  41.0                  NaN   \n",
       "16            197.0                  41.0                  NaN   \n",
       "17             60.0                  41.0                  NaN   \n",
       "18            135.0                  40.0                  NaN   \n",
       "19            137.0                  40.0                  NaN   \n",
       "20             84.0                  40.0                  NaN   \n",
       "21             33.0                  40.0                  NaN   \n",
       "22             56.0                  40.0                  NaN   \n",
       "23            157.0                  40.0                  NaN   \n",
       "24             27.0                  40.0                  NaN   \n",
       "25             50.0                  40.0                  NaN   \n",
       "26             36.0                  40.0                  NaN   \n",
       "27            170.0                  40.0                  NaN   \n",
       "28              4.0                  40.0                  NaN   \n",
       "29            182.0                  40.0                  NaN   \n",
       "30              8.0                  40.0                  NaN   \n",
       "31            167.0                  40.0                  NaN   \n",
       "32            184.0                  40.0                  NaN   \n",
       "33             70.0                  40.0                  NaN   \n",
       "34             22.0                  40.0                  NaN   \n",
       "35            160.0                  40.0                  NaN   \n",
       "36             15.0                  39.0                  NaN   \n",
       "37             10.0                  39.0                  NaN   \n",
       "38            152.0                  39.0                  NaN   \n",
       "39             19.0                  39.0                  NaN   \n",
       "40             26.0                  39.0                  NaN   \n",
       "41             11.0                  39.0                  NaN   \n",
       "42            145.0                  39.0                  NaN   \n",
       "43            181.0                  39.0                  NaN   \n",
       "44            162.0                  39.0                  NaN   \n",
       "45            125.0                  39.0                  NaN   \n",
       "46            185.0                  39.0                  NaN   \n",
       "47            131.0                  39.0                  NaN   \n",
       "48            133.0                  39.0                  NaN   \n",
       "49            161.0                  39.0                  NaN   \n",
       "50             93.0                  39.0                  NaN   \n",
       "51             94.0                  39.0                  NaN   \n",
       "52            173.0                  39.0                  NaN   \n",
       "53             66.0                  39.0                  NaN   \n",
       "54            117.0                  39.0                  NaN   \n",
       "55            105.0                  39.0                  NaN   \n",
       "56             53.0                  39.0                  NaN   \n",
       "57             32.0                  38.0                  NaN   \n",
       "58             51.0                  38.0                  NaN   \n",
       "59             41.0                  38.0                  NaN   \n",
       "60            100.0                  38.0                  NaN   \n",
       "61            108.0                  38.0                  NaN   \n",
       "62             49.0                  37.0                  NaN   \n",
       "63             61.0                  37.0                  NaN   \n",
       "64             46.0                  37.0                  NaN   \n",
       "65             72.0                  37.0                  NaN   \n",
       "66              0.0                  37.0                  NaN   \n",
       "\n",
       "    tippingPoint85_all_2050  freq85_tipacc_2050  tippingPoint85_acc_2050  \\\n",
       "0                     433.0                 0.0                    410.0   \n",
       "1                     411.0                 3.0                    382.0   \n",
       "2                     382.0                 1.0                    373.0   \n",
       "3                     373.0                 4.0                    352.0   \n",
       "4                     364.0                 2.0                    315.0   \n",
       "5                     352.0                 NaN                      NaN   \n",
       "6                     315.0                 NaN                      NaN   \n",
       "7                     271.0                 NaN                      NaN   \n",
       "8                     128.0                 NaN                      NaN   \n",
       "9                      32.0                 NaN                      NaN   \n",
       "10                      NaN                 NaN                      NaN   \n",
       "11                      NaN                 NaN                      NaN   \n",
       "12                      NaN                 NaN                      NaN   \n",
       "13                      NaN                 NaN                      NaN   \n",
       "14                      NaN                 NaN                      NaN   \n",
       "15                      NaN                 NaN                      NaN   \n",
       "16                      NaN                 NaN                      NaN   \n",
       "17                      NaN                 NaN                      NaN   \n",
       "18                      NaN                 NaN                      NaN   \n",
       "19                      NaN                 NaN                      NaN   \n",
       "20                      NaN                 NaN                      NaN   \n",
       "21                      NaN                 NaN                      NaN   \n",
       "22                      NaN                 NaN                      NaN   \n",
       "23                      NaN                 NaN                      NaN   \n",
       "24                      NaN                 NaN                      NaN   \n",
       "25                      NaN                 NaN                      NaN   \n",
       "26                      NaN                 NaN                      NaN   \n",
       "27                      NaN                 NaN                      NaN   \n",
       "28                      NaN                 NaN                      NaN   \n",
       "29                      NaN                 NaN                      NaN   \n",
       "30                      NaN                 NaN                      NaN   \n",
       "31                      NaN                 NaN                      NaN   \n",
       "32                      NaN                 NaN                      NaN   \n",
       "33                      NaN                 NaN                      NaN   \n",
       "34                      NaN                 NaN                      NaN   \n",
       "35                      NaN                 NaN                      NaN   \n",
       "36                      NaN                 NaN                      NaN   \n",
       "37                      NaN                 NaN                      NaN   \n",
       "38                      NaN                 NaN                      NaN   \n",
       "39                      NaN                 NaN                      NaN   \n",
       "40                      NaN                 NaN                      NaN   \n",
       "41                      NaN                 NaN                      NaN   \n",
       "42                      NaN                 NaN                      NaN   \n",
       "43                      NaN                 NaN                      NaN   \n",
       "44                      NaN                 NaN                      NaN   \n",
       "45                      NaN                 NaN                      NaN   \n",
       "46                      NaN                 NaN                      NaN   \n",
       "47                      NaN                 NaN                      NaN   \n",
       "48                      NaN                 NaN                      NaN   \n",
       "49                      NaN                 NaN                      NaN   \n",
       "50                      NaN                 NaN                      NaN   \n",
       "51                      NaN                 NaN                      NaN   \n",
       "52                      NaN                 NaN                      NaN   \n",
       "53                      NaN                 NaN                      NaN   \n",
       "54                      NaN                 NaN                      NaN   \n",
       "55                      NaN                 NaN                      NaN   \n",
       "56                      NaN                 NaN                      NaN   \n",
       "57                      NaN                 NaN                      NaN   \n",
       "58                      NaN                 NaN                      NaN   \n",
       "59                      NaN                 NaN                      NaN   \n",
       "60                      NaN                 NaN                      NaN   \n",
       "61                      NaN                 NaN                      NaN   \n",
       "62                      NaN                 NaN                      NaN   \n",
       "63                      NaN                 NaN                      NaN   \n",
       "64                      NaN                 NaN                      NaN   \n",
       "65                      NaN                 NaN                      NaN   \n",
       "66                      NaN                 NaN                      NaN   \n",
       "\n",
       "    Policy85_2050  freq85_2050_policy  scenario85_2050  freq85_2050_scenario  \\\n",
       "0            18.0                67.0            162.0                  32.0   \n",
       "1            14.0                66.0             72.0                  32.0   \n",
       "2            13.0                66.0            133.0                  30.0   \n",
       "3            37.0                65.0            192.0                  30.0   \n",
       "4            25.0                65.0            183.0                  30.0   \n",
       "5             6.0                62.0             15.0                  30.0   \n",
       "6            16.0                62.0             67.0                  30.0   \n",
       "7            12.0                61.0             56.0                  30.0   \n",
       "8            33.0                61.0            152.0                  29.0   \n",
       "9            40.0                61.0             66.0                  29.0   \n",
       "10           10.0                61.0             11.0                  29.0   \n",
       "11           30.0                61.0             34.0                  29.0   \n",
       "12           32.0                58.0             52.0                  29.0   \n",
       "13            1.0                58.0             46.0                  29.0   \n",
       "14            4.0                57.0             27.0                  29.0   \n",
       "15           41.0                56.0             51.0                  29.0   \n",
       "16           34.0                53.0             61.0                  29.0   \n",
       "17            7.0                51.0            145.0                  29.0   \n",
       "18           23.0                51.0             47.0                  29.0   \n",
       "19           15.0                49.0            182.0                  29.0   \n",
       "20           29.0                47.0            170.0                  29.0   \n",
       "21           42.0                47.0            179.0                  29.0   \n",
       "22            8.0                46.0            105.0                  28.0   \n",
       "23           22.0                43.0            108.0                  28.0   \n",
       "24           20.0                43.0             26.0                  28.0   \n",
       "25            0.0                42.0            181.0                  28.0   \n",
       "26            3.0                40.0             33.0                  28.0   \n",
       "27           28.0                39.0             84.0                  28.0   \n",
       "28            5.0                36.0            122.0                  28.0   \n",
       "29           38.0                31.0             10.0                  27.0   \n",
       "30           39.0                28.0            160.0                  27.0   \n",
       "31           31.0                26.0            135.0                  27.0   \n",
       "32           17.0                25.0            167.0                  27.0   \n",
       "33            2.0                20.0            132.0                  27.0   \n",
       "34           24.0                19.0            125.0                  27.0   \n",
       "35           27.0                16.0            147.0                  27.0   \n",
       "36           43.0                14.0            161.0                  27.0   \n",
       "37           35.0                14.0            116.0                  27.0   \n",
       "38           21.0                11.0              4.0                  27.0   \n",
       "39            9.0                10.0             36.0                  27.0   \n",
       "40           44.0                10.0             49.0                  27.0   \n",
       "41           36.0                10.0             53.0                  27.0   \n",
       "42           26.0                10.0             19.0                  26.0   \n",
       "43           11.0                 8.0            117.0                  26.0   \n",
       "44           19.0                 6.0            131.0                  26.0   \n",
       "45            NaN                 NaN            100.0                  26.0   \n",
       "46            NaN                 NaN            137.0                  26.0   \n",
       "47            NaN                 NaN             24.0                  26.0   \n",
       "48            NaN                 NaN             50.0                  26.0   \n",
       "49            NaN                 NaN             94.0                  25.0   \n",
       "50            NaN                 NaN             32.0                  25.0   \n",
       "51            NaN                 NaN            174.0                  25.0   \n",
       "52            NaN                 NaN             70.0                  25.0   \n",
       "53            NaN                 NaN              8.0                  25.0   \n",
       "54            NaN                 NaN             41.0                  25.0   \n",
       "55            NaN                 NaN            185.0                  25.0   \n",
       "56            NaN                 NaN             17.0                  24.0   \n",
       "57            NaN                 NaN             60.0                  24.0   \n",
       "58            NaN                 NaN            197.0                  24.0   \n",
       "59            NaN                 NaN            173.0                  24.0   \n",
       "60            NaN                 NaN             93.0                  24.0   \n",
       "61            NaN                 NaN             77.0                  24.0   \n",
       "62            NaN                 NaN             22.0                  23.0   \n",
       "63            NaN                 NaN            130.0                  23.0   \n",
       "64            NaN                 NaN              0.0                  23.0   \n",
       "65            NaN                 NaN            184.0                  22.0   \n",
       "66            NaN                 NaN             97.0                  22.0   \n",
       "\n",
       "    freq85_tip_all_2070  tippingPoint85_all_2070  freq85_tipacc_2070  \\\n",
       "0                   8.0                    969.0                 4.0   \n",
       "1                   7.0                    642.0                 2.0   \n",
       "2                   9.0                    561.0                 3.0   \n",
       "3                   6.0                    490.0                 1.0   \n",
       "4                   5.0                    160.0                 NaN   \n",
       "5                   4.0                     76.0                 NaN   \n",
       "6                   2.0                     40.0                 NaN   \n",
       "7                   3.0                     22.0                 NaN   \n",
       "8                   1.0                     10.0                 NaN   \n",
       "9                   0.0                      1.0                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint85_acc_2070  Policy85_2070  freq85_2070_policy  \\\n",
       "0                      76.0           18.0                13.0   \n",
       "1                      40.0           13.0                12.0   \n",
       "2                      22.0           14.0                12.0   \n",
       "3                      10.0           37.0                11.0   \n",
       "4                       NaN           25.0                10.0   \n",
       "5                       NaN            4.0                 7.0   \n",
       "6                       NaN           12.0                 6.0   \n",
       "7                       NaN           40.0                 6.0   \n",
       "8                       NaN           16.0                 6.0   \n",
       "9                       NaN           33.0                 6.0   \n",
       "10                      NaN           34.0                 5.0   \n",
       "11                      NaN           30.0                 5.0   \n",
       "12                      NaN            6.0                 5.0   \n",
       "13                      NaN           10.0                 5.0   \n",
       "14                      NaN            1.0                 5.0   \n",
       "15                      NaN           15.0                 4.0   \n",
       "16                      NaN            7.0                 3.0   \n",
       "17                      NaN            8.0                 3.0   \n",
       "18                      NaN           41.0                 3.0   \n",
       "19                      NaN           29.0                 3.0   \n",
       "20                      NaN           32.0                 3.0   \n",
       "21                      NaN            0.0                 3.0   \n",
       "22                      NaN           20.0                 2.0   \n",
       "23                      NaN           22.0                 2.0   \n",
       "24                      NaN           23.0                 2.0   \n",
       "25                      NaN           42.0                 2.0   \n",
       "26                      NaN            9.0                 1.0   \n",
       "27                      NaN            5.0                 1.0   \n",
       "28                      NaN            3.0                 1.0   \n",
       "29                      NaN            2.0                 1.0   \n",
       "30                      NaN            NaN                 NaN   \n",
       "31                      NaN            NaN                 NaN   \n",
       "32                      NaN            NaN                 NaN   \n",
       "33                      NaN            NaN                 NaN   \n",
       "34                      NaN            NaN                 NaN   \n",
       "35                      NaN            NaN                 NaN   \n",
       "36                      NaN            NaN                 NaN   \n",
       "37                      NaN            NaN                 NaN   \n",
       "38                      NaN            NaN                 NaN   \n",
       "39                      NaN            NaN                 NaN   \n",
       "40                      NaN            NaN                 NaN   \n",
       "41                      NaN            NaN                 NaN   \n",
       "42                      NaN            NaN                 NaN   \n",
       "43                      NaN            NaN                 NaN   \n",
       "44                      NaN            NaN                 NaN   \n",
       "45                      NaN            NaN                 NaN   \n",
       "46                      NaN            NaN                 NaN   \n",
       "47                      NaN            NaN                 NaN   \n",
       "48                      NaN            NaN                 NaN   \n",
       "49                      NaN            NaN                 NaN   \n",
       "50                      NaN            NaN                 NaN   \n",
       "51                      NaN            NaN                 NaN   \n",
       "52                      NaN            NaN                 NaN   \n",
       "53                      NaN            NaN                 NaN   \n",
       "54                      NaN            NaN                 NaN   \n",
       "55                      NaN            NaN                 NaN   \n",
       "56                      NaN            NaN                 NaN   \n",
       "57                      NaN            NaN                 NaN   \n",
       "58                      NaN            NaN                 NaN   \n",
       "59                      NaN            NaN                 NaN   \n",
       "60                      NaN            NaN                 NaN   \n",
       "61                      NaN            NaN                 NaN   \n",
       "62                      NaN            NaN                 NaN   \n",
       "63                      NaN            NaN                 NaN   \n",
       "64                      NaN            NaN                 NaN   \n",
       "65                      NaN            NaN                 NaN   \n",
       "66                      NaN            NaN                 NaN   \n",
       "\n",
       "    scenario85_2070  freq85_2070_scenario  \n",
       "0             139.0                   6.0  \n",
       "1              91.0                   5.0  \n",
       "2              38.0                   5.0  \n",
       "3             114.0                   5.0  \n",
       "4             187.0                   5.0  \n",
       "5             168.0                   4.0  \n",
       "6             193.0                   4.0  \n",
       "7             166.0                   4.0  \n",
       "8              80.0                   4.0  \n",
       "9             172.0                   4.0  \n",
       "10             98.0                   4.0  \n",
       "11             86.0                   4.0  \n",
       "12              2.0                   4.0  \n",
       "13            175.0                   4.0  \n",
       "14             13.0                   3.0  \n",
       "15            120.0                   3.0  \n",
       "16            196.0                   3.0  \n",
       "17            111.0                   3.0  \n",
       "18            198.0                   3.0  \n",
       "19            149.0                   3.0  \n",
       "20            136.0                   3.0  \n",
       "21            104.0                   3.0  \n",
       "22             78.0                   3.0  \n",
       "23            163.0                   2.0  \n",
       "24            195.0                   2.0  \n",
       "25            190.0                   2.0  \n",
       "26             28.0                   2.0  \n",
       "27             57.0                   2.0  \n",
       "28             90.0                   2.0  \n",
       "29             12.0                   2.0  \n",
       "30             63.0                   2.0  \n",
       "31              9.0                   2.0  \n",
       "32             55.0                   2.0  \n",
       "33            180.0                   2.0  \n",
       "34             37.0                   2.0  \n",
       "35            169.0                   2.0  \n",
       "36            146.0                   2.0  \n",
       "37            199.0                   2.0  \n",
       "38            148.0                   2.0  \n",
       "39            123.0                   2.0  \n",
       "40            151.0                   2.0  \n",
       "41            142.0                   2.0  \n",
       "42             76.0                   2.0  \n",
       "43             35.0                   2.0  \n",
       "44            164.0                   1.0  \n",
       "45             42.0                   1.0  \n",
       "46            189.0                   1.0  \n",
       "47             48.0                   1.0  \n",
       "48            112.0                   1.0  \n",
       "49              3.0                   1.0  \n",
       "50             92.0                   1.0  \n",
       "51            176.0                   1.0  \n",
       "52            186.0                   1.0  \n",
       "53            191.0                   1.0  \n",
       "54            153.0                   1.0  \n",
       "55            156.0                   1.0  \n",
       "56            102.0                   1.0  \n",
       "57            126.0                   1.0  \n",
       "58             74.0                   1.0  \n",
       "59             81.0                   1.0  \n",
       "60            101.0                   1.0  \n",
       "61              NaN                   NaN  \n",
       "62              NaN                   NaN  \n",
       "63              NaN                   NaN  \n",
       "64              NaN                   NaN  \n",
       "65              NaN                   NaN  \n",
       "66              NaN                   NaN  \n",
       "\n",
       "[67 rows x 96 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final_tipping_point_1980_2070.head(67)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "adpation_Option1 = np.array(df_policies['x1SnowThershold'])\n",
    "adpation_Option2 = np.array(df_policies['xGoodDays'])\n",
    "all_Policies = []\n",
    "\n",
    "for i in range(len(adpation_Option1)):\n",
    "    all_Policies.append('P' + '_' + str(int(adpation_Option1[i])) + '_' + str(int(adpation_Option2[i])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#all_Policies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final_tipping_point_1980_2070['Policy26_2020'] = df_final_tipping_point_1980_2070['Policy26_2020'].apply(lambda x: 'Plc_' + str(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final_tipping_point_1980_2070['Policy26_2050'] = df_final_tipping_point_1980_2070['Policy26_2050'].apply(lambda x: 'Plc_' + str(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final_tipping_point_1980_2070['Policy26_2070'] = df_final_tipping_point_1980_2070['Policy26_2070'].apply(lambda x: 'Plc_' + str(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_26 = df_final_tipping_point_1980_2070.loc[0:42, 'Policy26_2020'].to_list()\n",
    "y_26 = df_final_tipping_point_1980_2070.loc[0:42, 'freq26_2020_policy'].to_list()\n",
    "x1_26 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy26_2050'].to_list()\n",
    "y1_26 = df_final_tipping_point_1980_2070.loc[0:44, 'freq26_2050_policy'].to_list()\n",
    "x2_26 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy26_2070'].to_list()\n",
    "y2_26 = df_final_tipping_point_1980_2070.loc[0:44, 'freq26_2070_policy'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_45 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy45_2020'].to_list()\n",
    "y_45 = df_final_tipping_point_1980_2070.loc[0:44, 'freq45_2020_policy'].to_list()\n",
    "x1_45 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy45_2050'].to_list()\n",
    "y1_45 = df_final_tipping_point_1980_2070.loc[0:44, 'freq45_2050_policy'].to_list()\n",
    "x2_45 = df_final_tipping_point_1980_2070.loc[0:40, 'Policy45_2070'].to_list()\n",
    "y2_45 = df_final_tipping_point_1980_2070.loc[0:40, 'freq45_2070_policy'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_85 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy85_2020'].to_list()\n",
    "y_85 = df_final_tipping_point_1980_2070.loc[0:44, 'freq85_2020_policy'].to_list()\n",
    "x1_85 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy85_2050'].to_list()\n",
    "y1_85 = df_final_tipping_point_1980_2070.loc[0:44, 'freq85_2050_policy'].to_list()\n",
    "x2_85 = df_final_tipping_point_1980_2070.loc[0:29, 'Policy85_2070'].to_list()\n",
    "y2_85 = df_final_tipping_point_1980_2070.loc[0:29, 'freq85_2070_policy'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[32.0,\n",
       " 20.0,\n",
       " 41.0,\n",
       " 23.0,\n",
       " 16.0,\n",
       " 25.0,\n",
       " 14.0,\n",
       " 13.0,\n",
       " 12.0,\n",
       " 30.0,\n",
       " 10.0,\n",
       " 18.0,\n",
       " 34.0,\n",
       " 7.0,\n",
       " 40.0,\n",
       " 42.0,\n",
       " 6.0,\n",
       " 33.0,\n",
       " 4.0,\n",
       " 37.0,\n",
       " 1.0,\n",
       " 8.0,\n",
       " 15.0,\n",
       " 22.0,\n",
       " 0.0,\n",
       " 28.0,\n",
       " 29.0,\n",
       " 39.0,\n",
       " 5.0,\n",
       " 38.0,\n",
       " 3.0,\n",
       " 2.0,\n",
       " 31.0,\n",
       " 17.0,\n",
       " 27.0,\n",
       " 35.0,\n",
       " 43.0,\n",
       " 21.0,\n",
       " 26.0,\n",
       " 24.0,\n",
       " 44.0,\n",
       " 36.0,\n",
       " 9.0,\n",
       " 11.0,\n",
       " 19.0]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 68.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 64.0,\n",
       " 64.0,\n",
       " 64.0,\n",
       " 63.0,\n",
       " 62.0,\n",
       " 61.0,\n",
       " 61.0,\n",
       " 55.0,\n",
       " 48.0,\n",
       " 48.0,\n",
       " 45.0,\n",
       " 43.0,\n",
       " 42.0,\n",
       " 37.0,\n",
       " 34.0,\n",
       " 29.0,\n",
       " 29.0,\n",
       " 24.0]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#y.reverse()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_26_arr = np.array(x_26) - 0.25\n",
    "x1_26_arr = np.array(x1_26)\n",
    "x2_26_arr = np.array(x2_26) + 0.25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.25, 40.75, 17.75, 24.75, 15.75, 13.75, 12.75, 28.75, 29.75,\n",
       "       11.75, 31.75, 33.75,  9.75, 39.75, 41.75,  5.75, 32.75,  3.75,\n",
       "       36.75,  0.75,  6.75, 19.75, 21.75, 22.75, 14.75,  7.75, 38.75,\n",
       "        2.75, 27.75,  4.75, 16.75, 30.75, 37.75,  1.75, 26.75, 42.75,\n",
       "       34.75, 20.75, 25.75, 23.75, 43.75, 10.75, 35.75])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_26_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "title_Figs = 'case4_Les Diablerets (2000m)'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig35, ax1 = plt.subplots(figsize=(20,7.5))\n",
    "\n",
    "width = 0.25\n",
    "\n",
    "ax1.bar(x_26_arr, y_26, width = width, color = 'Blue', label = \"2020\")\n",
    "ax1.bar(x1_26_arr, y1_26, width = width, color = 'Green', label = \"2050\")\n",
    "ax1.bar(x2_26_arr, y2_26, width = width, color = 'Red', label = \"2070\")\n",
    "\n",
    "\n",
    "#X-Axis\n",
    "xticks = np.arange(0, 45, 1)\n",
    "ax1.set_xticks(xticks)\n",
    "#ax1.set_xticks(xticks, all_Policies)\n",
    "\n",
    "xlabels = all_Policies\n",
    "#ax1.set_xticklabels(xlabels)\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10, ha=\"right\", rotation_mode=\"anchor\")\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10)\n",
    "plt.xticks(xticks, xlabels, fontsize=16)\n",
    "plt.setp(ax1.get_xticklabels(), rotation=90, size = 10)\n",
    "\n",
    "\n",
    "\n",
    "#Y-Axis\n",
    "yticks = np.arange(0, 70, 3)\n",
    "#ax1.set_yticks(yticks)\n",
    "#plt.setp(ax1.get_yticklabels(), rotation=0, size = 15, ha=\"right\", rotation_mode=\"anchor\")\n",
    "\n",
    "ax1.set_yticks(yticks)\n",
    "ax1.set_title(title_Figs + ', RCP2.6', size = 30)\n",
    "ax1.set_xlabel('45 Adaptation Options', size = 20)\n",
    "ax1.set_ylabel('Frequency', size = 20)\n",
    "\n",
    "\n",
    "ax1.axhline(y=67, color='green', alpha=0.8)\n",
    "ax1.axhline(y=33, color='orange', alpha=0.8)\n",
    "ax1.axhline(y=16, color='red', alpha=0.8)\n",
    "#ax1.set_ylim(bottom=0, top =70)\n",
    "#ax1.y_axis = np.arange(0, 70)\n",
    "\n",
    "fig35.savefig(os.path.join(rootOut, 'tipping_point_All_new_3_RCP26.tiff'), format='tiff', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_45_arr = np.array(x_45) - 0.25\n",
    "x1_45_arr = np.array(x1_45)\n",
    "x2_45_arr = np.array(x2_45) + 0.25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[65.0,\n",
       " 64.0,\n",
       " 62.0,\n",
       " 61.0,\n",
       " 59.0,\n",
       " 58.0,\n",
       " 57.0,\n",
       " 56.0,\n",
       " 56.0,\n",
       " 56.0,\n",
       " 56.0,\n",
       " 53.0,\n",
       " 52.0,\n",
       " 51.0,\n",
       " 49.0,\n",
       " 46.0,\n",
       " 42.0,\n",
       " 42.0,\n",
       " 39.0,\n",
       " 37.0,\n",
       " 31.0,\n",
       " 31.0,\n",
       " 30.0,\n",
       " 29.0,\n",
       " 27.0,\n",
       " 25.0,\n",
       " 25.0,\n",
       " 24.0,\n",
       " 20.0,\n",
       " 18.0,\n",
       " 18.0,\n",
       " 17.0,\n",
       " 15.0,\n",
       " 14.0,\n",
       " 13.0,\n",
       " 13.0,\n",
       " 13.0,\n",
       " 12.0,\n",
       " 11.0,\n",
       " 9.0,\n",
       " 8.0]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_45"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig36, ax1 = plt.subplots(figsize=(20,7.5))\n",
    "\n",
    "width = 0.25\n",
    "\n",
    "ax1.bar(x_45_arr, y_45, width = width, color = 'Blue', label = \"2020\")\n",
    "ax1.bar(x1_45_arr, y1_45, width = width, color = 'Green', label = \"2050\")\n",
    "ax1.bar(x2_45_arr, y2_45, width = width, color = 'Red', label = \"2070\")\n",
    "\n",
    "\n",
    "#X-Axis\n",
    "xticks = np.arange(0, 45, 1)\n",
    "ax1.set_xticks(xticks)\n",
    "#ax1.set_xticks(xticks, all_Policies)\n",
    "\n",
    "xlabels = all_Policies\n",
    "#ax1.set_xticklabels(xlabels)\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10, ha=\"right\", rotation_mode=\"anchor\")\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10)\n",
    "plt.xticks(xticks, xlabels, fontsize=16)\n",
    "plt.setp(ax1.get_xticklabels(), rotation=90, size = 10)\n",
    "\n",
    "\n",
    "\n",
    "#Y-Axis\n",
    "yticks = np.arange(0, 70, 3)\n",
    "#ax1.set_yticks(yticks)\n",
    "#plt.setp(ax1.get_yticklabels(), rotation=0, size = 15, ha=\"right\", rotation_mode=\"anchor\")\n",
    "\n",
    "ax1.set_yticks(yticks)\n",
    "ax1.set_title(title_Figs + ', RCP4.5', size = 30)\n",
    "ax1.set_xlabel('45 Adaptation Options', size = 20)\n",
    "ax1.set_ylabel('Frequency', size = 20)\n",
    "\n",
    "ax1.axhline(y=67, color='green', alpha=0.8)\n",
    "ax1.axhline(y=33, color='orange', alpha=0.8)\n",
    "ax1.axhline(y=16, color='red', alpha=0.8)\n",
    "#ax1.set_ylim(bottom=0, top =70)\n",
    "#ax1.y_axis = np.arange(0, 70)\n",
    "fig36.savefig(os.path.join(rootOut, 'tipping_point_All_new_3_RCP45.tiff'), format='tiff', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_85_arr = np.array(x_85) - 0.25\n",
    "x1_85_arr = np.array(x1_85)\n",
    "x2_85_arr = np.array(x2_85) + 0.25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[13.0,\n",
       " 12.0,\n",
       " 12.0,\n",
       " 11.0,\n",
       " 10.0,\n",
       " 7.0,\n",
       " 6.0,\n",
       " 6.0,\n",
       " 6.0,\n",
       " 6.0,\n",
       " 5.0,\n",
       " 5.0,\n",
       " 5.0,\n",
       " 5.0,\n",
       " 5.0,\n",
       " 4.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 2.0,\n",
       " 2.0,\n",
       " 2.0,\n",
       " 2.0,\n",
       " 1.0,\n",
       " 1.0,\n",
       " 1.0,\n",
       " 1.0]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([18.25, 13.25, 14.25, 37.25, 25.25,  4.25, 12.25, 40.25, 16.25,\n",
       "       33.25, 34.25, 30.25,  6.25, 10.25,  1.25, 15.25,  7.25,  8.25,\n",
       "       41.25, 29.25, 32.25,  0.25, 20.25, 22.25, 23.25, 42.25,  9.25,\n",
       "        5.25,  3.25,  2.25])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2_85_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig37, ax1 = plt.subplots(figsize=(20,7.5))\n",
    "\n",
    "width = 0.25\n",
    "\n",
    "ax1.bar(x_85_arr, y_85, width = width, color = 'Blue', label = \"2020\")\n",
    "ax1.bar(x1_85_arr, y1_85, width = width, color = 'Green', label = \"2050\")\n",
    "ax1.bar(x2_85_arr, y2_85, width = width, color = 'Red', label = \"2070\")\n",
    "\n",
    "\n",
    "#X-Axis\n",
    "xticks = np.arange(0, 45, 1)\n",
    "ax1.set_xticks(xticks)\n",
    "#ax1.set_xticks(xticks, all_Policies)\n",
    "\n",
    "xlabels = all_Policies\n",
    "#ax1.set_xticklabels(xlabels)\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10, ha=\"right\", rotation_mode=\"anchor\")\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10)\n",
    "plt.xticks(xticks, xlabels, fontsize=16)\n",
    "plt.setp(ax1.get_xticklabels(), rotation=90, size = 10)\n",
    "\n",
    "\n",
    "\n",
    "#Y-Axis\n",
    "yticks = np.arange(0, 70, 3)\n",
    "#ax1.set_yticks(yticks)\n",
    "#plt.setp(ax1.get_yticklabels(), rotation=0, size = 15, ha=\"right\", rotation_mode=\"anchor\")\n",
    "\n",
    "ax1.set_yticks(yticks)\n",
    "ax1.set_title(title_Figs + ', RCP8.5', size = 30)\n",
    "ax1.set_xlabel('45 Adaptation Options', size = 20)\n",
    "ax1.set_ylabel('Frequency', size = 20)\n",
    "\n",
    "ax1.axhline(y=67, color='green', alpha=0.8)\n",
    "ax1.axhline(y=33, color='orange', alpha=0.8)\n",
    "ax1.axhline(y=16, color='red', alpha=0.8)\n",
    "#ax1.set_ylim(bottom=0, top =70)\n",
    "#ax1.y_axis = np.arange(0, 70)\n",
    "fig37.savefig(os.path.join(rootOut, 'tipping_point_All_new_3_RCP85.tiff'), format='tiff', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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