tipping_points_case4_Les Diablerets_b2500.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": {
      "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>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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3011</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>189.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3012</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>193.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3013</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3014</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>197.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3015</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>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3016 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",
       "3011                  NaN                    NaN              NaN   \n",
       "3012                  NaN                    NaN              NaN   \n",
       "3013                  NaN                    NaN              NaN   \n",
       "3014                  NaN                    NaN              NaN   \n",
       "3015                  NaN                    NaN              NaN   \n",
       "\n",
       "      policy26_1980  tippingPoint45_1980  tippingPoint45_1_1980  \\\n",
       "0               3.0                  0.0                    0.0   \n",
       "1               4.0                  0.0                    0.0   \n",
       "2               6.0                  0.0                    0.0   \n",
       "3              19.0                  0.0                    0.0   \n",
       "4              22.0                  0.0                    0.0   \n",
       "...             ...                  ...                    ...   \n",
       "3011            NaN                  0.0                    0.0   \n",
       "3012            NaN                  0.0                    0.0   \n",
       "3013            NaN                  0.0                    0.0   \n",
       "3014            NaN                  0.0                    0.0   \n",
       "3015            NaN                  0.0                    NaN   \n",
       "\n",
       "      scenario45_1980  policy45_1980  tippingPoint85_1980  \\\n",
       "0                 0.0            1.0                  0.0   \n",
       "1                 0.0            5.0                  0.0   \n",
       "2                 0.0            7.0                  0.0   \n",
       "3                 0.0           10.0                  0.0   \n",
       "4                 0.0           12.0                  0.0   \n",
       "...               ...            ...                  ...   \n",
       "3011             44.0          191.0                  0.0   \n",
       "3012             44.0          196.0                  0.0   \n",
       "3013             44.0          198.0                  0.0   \n",
       "3014             44.0          199.0                  0.0   \n",
       "3015              NaN            NaN                  0.0   \n",
       "\n",
       "      tippingPoint85_1_1980  scenario85_1980  policy85_1980  \n",
       "0                       0.0              0.0            0.0  \n",
       "1                       0.0              0.0            2.0  \n",
       "2                       0.0              0.0            8.0  \n",
       "3                       0.0              0.0            9.0  \n",
       "4                       0.0              0.0           11.0  \n",
       "...                     ...              ...            ...  \n",
       "3011                    0.0             44.0          189.0  \n",
       "3012                    0.0             44.0          193.0  \n",
       "3013                    0.0             44.0          195.0  \n",
       "3014                    0.0             44.0          197.0  \n",
       "3015                    NaN              NaN            NaN  \n",
       "\n",
       "[3016 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": [
       "(67, 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>2971.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2970.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2971.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2970.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2966.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2965.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2970.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2969.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3016.0</td>\n",
       "      <td>...</td>\n",
       "      <td>135.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3016.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3015.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3016.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3015.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3006.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3005.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2914.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2913.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>76.0</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>66.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>21.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>42.0</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>67.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>66.0</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>19.0</td>\n",
       "      <td>66.0</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>18.0</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>19.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>198.0</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>67.0</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>67.0</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>20.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>101.0</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>66.0</td>\n",
       "      <td>101.0</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>66.0</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>18.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>18.0</td>\n",
       "      <td>67.0</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>18.0</td>\n",
       "      <td>67.0</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>19.0</td>\n",
       "      <td>67.0</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>11.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>66.0</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>17.0</td>\n",
       "      <td>66.0</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>16.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>101.0</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>66.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>75.0</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>67.0</td>\n",
       "      <td>163.0</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>67.0</td>\n",
       "      <td>163.0</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>67.0</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>10.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>66.0</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>16.0</td>\n",
       "      <td>66.0</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>14.0</td>\n",
       "      <td>66.0</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>16.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>16.0</td>\n",
       "      <td>67.0</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>16.0</td>\n",
       "      <td>67.0</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>17.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>163.0</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>67.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>45.0</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>81.0</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>66.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>66.0</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>15.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>15.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>176.0</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>176.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>67.0</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>9.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>45.0</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>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>14.0</td>\n",
       "      <td>66.0</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>12.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>14.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>168.0</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>176.0</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>102.0</td>\n",
       "      <td>45.0</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>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>13.0</td>\n",
       "      <td>66.0</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>11.0</td>\n",
       "      <td>66.0</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>13.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>176.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>67.0</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>13.0</td>\n",
       "      <td>67.0</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>14.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>168.0</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>67.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>45.0</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>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>12.0</td>\n",
       "      <td>66.0</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>10.0</td>\n",
       "      <td>66.0</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>12.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>168.0</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>67.0</td>\n",
       "      <td>116.0</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>67.0</td>\n",
       "      <td>116.0</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>67.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>45.0</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>180.0</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>66.0</td>\n",
       "      <td>180.0</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>66.0</td>\n",
       "      <td>180.0</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>66.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>116.0</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>67.0</td>\n",
       "      <td>112.0</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>67.0</td>\n",
       "      <td>112.0</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>67.0</td>\n",
       "      <td>108.0</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>67.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>45.0</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>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>10.0</td>\n",
       "      <td>66.0</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>8.0</td>\n",
       "      <td>66.0</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>10.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>108.0</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>67.0</td>\n",
       "      <td>108.0</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>67.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>104.0</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>79.0</td>\n",
       "      <td>45.0</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>152.0</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>66.0</td>\n",
       "      <td>152.0</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>66.0</td>\n",
       "      <td>152.0</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>66.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>104.0</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>67.0</td>\n",
       "      <td>104.0</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>67.0</td>\n",
       "      <td>104.0</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>67.0</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>29.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>45.0</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>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>8.0</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>6.0</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>8.0</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>...</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>8.0</td>\n",
       "      <td>67.0</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>8.0</td>\n",
       "      <td>67.0</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>8.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>80.0</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>67.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>45.0</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>100.0</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>66.0</td>\n",
       "      <td>100.0</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>66.0</td>\n",
       "      <td>100.0</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>66.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>80.0</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>67.0</td>\n",
       "      <td>80.0</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>67.0</td>\n",
       "      <td>80.0</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>67.0</td>\n",
       "      <td>60.0</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>67.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>44.0</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>84.0</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>84.0</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>84.0</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>84.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>60.0</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>67.0</td>\n",
       "      <td>60.0</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>67.0</td>\n",
       "      <td>60.0</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>67.0</td>\n",
       "      <td>42.0</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>67.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>44.0</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>72.0</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>66.0</td>\n",
       "      <td>72.0</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>66.0</td>\n",
       "      <td>76.0</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>66.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>42.0</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>67.0</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>5.0</td>\n",
       "      <td>67.0</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>5.0</td>\n",
       "      <td>67.0</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>34.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>44.0</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>165.0</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>165.0</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>66.0</td>\n",
       "      <td>72.0</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>165.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>4.0</td>\n",
       "      <td>67.0</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>4.0</td>\n",
       "      <td>67.0</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>4.0</td>\n",
       "      <td>67.0</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>36.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>44.0</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>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>3.0</td>\n",
       "      <td>66.0</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>1.0</td>\n",
       "      <td>66.0</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>3.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>3.0</td>\n",
       "      <td>67.0</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>3.0</td>\n",
       "      <td>67.0</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>2.0</td>\n",
       "      <td>67.0</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>38.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>44.0</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>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>2.0</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>21.0</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>2.0</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>...</td>\n",
       "      <td>28.0</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>67.0</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>2.0</td>\n",
       "      <td>67.0</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>1.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>28.0</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>67.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>44.0</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>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>1.0</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>22.0</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>1.0</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>...</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>1.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>28.0</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>67.0</td>\n",
       "      <td>28.0</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>67.0</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>5.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>44.0</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>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>20.0</td>\n",
       "      <td>66.0</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>32.0</td>\n",
       "      <td>66.0</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>20.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>20.0</td>\n",
       "      <td>67.0</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>20.0</td>\n",
       "      <td>67.0</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>22.0</td>\n",
       "      <td>67.0</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>4.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>44.0</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>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>22.0</td>\n",
       "      <td>66.0</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>34.0</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>22.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>22.0</td>\n",
       "      <td>67.0</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>22.0</td>\n",
       "      <td>67.0</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>34.0</td>\n",
       "      <td>67.0</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>33.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>44.0</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>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>41.0</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>39.0</td>\n",
       "      <td>66.0</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>41.0</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>...</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>41.0</td>\n",
       "      <td>67.0</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>41.0</td>\n",
       "      <td>67.0</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>32.0</td>\n",
       "      <td>67.0</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>35.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>44.0</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>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>23.0</td>\n",
       "      <td>66.0</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>37.0</td>\n",
       "      <td>66.0</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>23.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</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>67.0</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>23.0</td>\n",
       "      <td>67.0</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>39.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>16.0</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>67.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>44.0</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>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>39.0</td>\n",
       "      <td>66.0</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>35.0</td>\n",
       "      <td>66.0</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>39.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>39.0</td>\n",
       "      <td>67.0</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>67.0</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>37.0</td>\n",
       "      <td>67.0</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>16.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>44.0</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>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>37.0</td>\n",
       "      <td>66.0</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>33.0</td>\n",
       "      <td>66.0</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>37.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>12.0</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>67.0</td>\n",
       "      <td>16.0</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>67.0</td>\n",
       "      <td>16.0</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>67.0</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>6.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>44.0</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>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>35.0</td>\n",
       "      <td>66.0</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>44.0</td>\n",
       "      <td>66.0</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>35.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>35.0</td>\n",
       "      <td>67.0</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>35.0</td>\n",
       "      <td>67.0</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>33.0</td>\n",
       "      <td>67.0</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>1.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>44.0</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>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>33.0</td>\n",
       "      <td>66.0</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>42.0</td>\n",
       "      <td>66.0</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>33.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>33.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>12.0</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>67.0</td>\n",
       "      <td>12.0</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>67.0</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>12.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>44.0</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>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>44.0</td>\n",
       "      <td>66.0</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>40.0</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>44.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>44.0</td>\n",
       "      <td>67.0</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>44.0</td>\n",
       "      <td>67.0</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>40.0</td>\n",
       "      <td>67.0</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>22.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>44.0</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>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>38.0</td>\n",
       "      <td>66.0</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>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>...</td>\n",
       "      <td>199.0</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>67.0</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>42.0</td>\n",
       "      <td>67.0</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>38.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>199.0</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>134.0</td>\n",
       "      <td>44.0</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>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>40.0</td>\n",
       "      <td>66.0</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>36.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>165.0</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>4.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>40.0</td>\n",
       "      <td>67.0</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>40.0</td>\n",
       "      <td>67.0</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>36.0</td>\n",
       "      <td>67.0</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>37.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>44.0</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>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>38.0</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>0.0</td>\n",
       "      <td>66.0</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>38.0</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>...</td>\n",
       "      <td>90.0</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>67.0</td>\n",
       "      <td>75.0</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>67.0</td>\n",
       "      <td>75.0</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>146.0</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>66.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>44.0</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>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>36.0</td>\n",
       "      <td>66.0</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>31.0</td>\n",
       "      <td>66.0</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>36.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>36.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>199.0</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>67.0</td>\n",
       "      <td>199.0</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>67.0</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>41.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>44.0</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>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>34.0</td>\n",
       "      <td>66.0</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>30.0</td>\n",
       "      <td>66.0</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>34.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>34.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>198.0</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>67.0</td>\n",
       "      <td>198.0</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>67.0</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>15.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>44.0</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>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>32.0</td>\n",
       "      <td>66.0</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>29.0</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>32.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>113.0</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>67.0</td>\n",
       "      <td>98.0</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>67.0</td>\n",
       "      <td>98.0</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>113.0</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>64.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>44.0</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>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>31.0</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>28.0</td>\n",
       "      <td>66.0</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>31.0</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>...</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>31.0</td>\n",
       "      <td>67.0</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>31.0</td>\n",
       "      <td>67.0</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>28.0</td>\n",
       "      <td>67.0</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>63.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>43.0</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>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>30.0</td>\n",
       "      <td>66.0</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>27.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>190.0</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>194.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>143.0</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>67.0</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>30.0</td>\n",
       "      <td>67.0</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>26.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>143.0</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>62.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>43.0</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>190.0</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>66.0</td>\n",
       "      <td>190.0</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>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>29.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>29.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>113.0</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>113.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</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>20.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>43.0</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>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>28.0</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>25.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>123.0</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>66.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>28.0</td>\n",
       "      <td>67.0</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>28.0</td>\n",
       "      <td>67.0</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>13.0</td>\n",
       "      <td>66.0</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>27.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>43.0</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>123.0</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>66.0</td>\n",
       "      <td>123.0</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>65.0</td>\n",
       "      <td>111.0</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>66.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>196.0</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>67.0</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>27.0</td>\n",
       "      <td>67.0</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>44.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>196.0</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>59.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>43.0</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>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>26.0</td>\n",
       "      <td>66.0</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>15.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>85.0</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>66.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>126.0</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>67.0</td>\n",
       "      <td>143.0</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>67.0</td>\n",
       "      <td>143.0</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>66.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>43.0</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>111.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>111.0</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>65.0</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>25.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>25.0</td>\n",
       "      <td>67.0</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>25.0</td>\n",
       "      <td>67.0</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>27.0</td>\n",
       "      <td>65.0</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>23.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>43.0</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>85.0</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>66.0</td>\n",
       "      <td>85.0</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>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>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>114.0</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>67.0</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>24.0</td>\n",
       "      <td>67.0</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>23.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>114.0</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>51.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>43.0</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>139.0</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>66.0</td>\n",
       "      <td>139.0</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>65.0</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>24.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>0.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>196.0</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>196.0</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>64.0</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>24.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>43.0</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>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>NaN</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>164.0</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>183.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>126.0</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>126.0</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>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "      <td>43.0</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>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>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>148.0</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>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>98.0</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>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>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>90.0</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>43.0</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>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>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>153.0</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>164.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>114.0</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>114.0</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>98.0</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>160.0</td>\n",
       "      <td>43.0</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>164.0</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>164.0</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>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>148.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>146.0</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>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>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>74.0</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>166.0</td>\n",
       "      <td>43.0</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>148.0</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>148.0</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>186.0</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>106.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>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>NaN</td>\n",
       "      <td>NaN</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>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>93.0</td>\n",
       "      <td>43.0</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>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>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>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>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>...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</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>90.0</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>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>193.0</td>\n",
       "      <td>43.0</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>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>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>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>186.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>191.0</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>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>NaN</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>161.0</td>\n",
       "      <td>43.0</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>186.0</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>186.0</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>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>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>37.0</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>146.0</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>146.0</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>191.0</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>43.0</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>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>NaN</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</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>63.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.0</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>74.0</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>37.0</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>45.0</td>\n",
       "      <td>43.0</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>63.0</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>63.0</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>169.0</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>130.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>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>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>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>177.0</td>\n",
       "      <td>43.0</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>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>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>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>59.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>74.0</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>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>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>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>156.0</td>\n",
       "      <td>43.0</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>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>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>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>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>...</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>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>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>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>122.0</td>\n",
       "      <td>43.0</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>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>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>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>109.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>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>NaN</td>\n",
       "      <td>NaN</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>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>140.0</td>\n",
       "      <td>42.0</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>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>NaN</td>\n",
       "      <td>NaN</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>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>41.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>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>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>179.0</td>\n",
       "      <td>44.0</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>42.0</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>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>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>63.0</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>169.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>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>NaN</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>158.0</td>\n",
       "      <td>44.0</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>95.0</td>\n",
       "      <td>42.0</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>169.0</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>169.0</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>3.0</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>35.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>25.0</td>\n",
       "      <td>44.0</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>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>37.0</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>44.0</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>157.0</td>\n",
       "      <td>42.0</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>35.0</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>35.0</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>139.0</td>\n",
       "      <td>44.0</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>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>163.0</td>\n",
       "      <td>44.0</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>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>191.0</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>44.0</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>181.0</td>\n",
       "      <td>42.0</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>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>NaN</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>155.0</td>\n",
       "      <td>44.0</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>...</td>\n",
       "      <td>124.0</td>\n",
       "      <td>44.0</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>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>NaN</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</td>\n",
       "      <td>44.0</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>41.0</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>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>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>117.0</td>\n",
       "      <td>44.0</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>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>99.0</td>\n",
       "      <td>44.0</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>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>12.0</td>\n",
       "      <td>44.0</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>41.0</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>153.0</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>153.0</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>47.0</td>\n",
       "      <td>44.0</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>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>44.0</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>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>NaN</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>198.0</td>\n",
       "      <td>44.0</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>136.0</td>\n",
       "      <td>41.0</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>3.0</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>3.0</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>52.0</td>\n",
       "      <td>44.0</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>139.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>36.0</td>\n",
       "      <td>44.0</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>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>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>1.0</td>\n",
       "      <td>44.0</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>34.0</td>\n",
       "      <td>40.0</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>112.0</td>\n",
       "      <td>44.0</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>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>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>112.0</td>\n",
       "      <td>43.0</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>2.0</td>\n",
       "      <td>39.0</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                   2971.0                 0.0   \n",
       "1                   NaN                      NaN                 NaN   \n",
       "2                   NaN                      NaN                 NaN   \n",
       "3                   NaN                      NaN                 NaN   \n",
       "4                   NaN                      NaN                 NaN   \n",
       "5                   NaN                      NaN                 NaN   \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                    2970.0           43.0                66.0   \n",
       "1                       NaN           21.0                66.0   \n",
       "2                       NaN           19.0                66.0   \n",
       "3                       NaN           18.0                66.0   \n",
       "4                       NaN           17.0                66.0   \n",
       "5                       NaN           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             187.0                  45.0                  0.0   \n",
       "1              76.0                  45.0                  NaN   \n",
       "2             115.0                  45.0                  NaN   \n",
       "3             101.0                  45.0                  NaN   \n",
       "4              87.0                  45.0                  NaN   \n",
       "5             141.0                  45.0                  NaN   \n",
       "6              81.0                  45.0                  NaN   \n",
       "7             155.0                  45.0                  NaN   \n",
       "8             137.0                  45.0                  NaN   \n",
       "9             192.0                  45.0                  NaN   \n",
       "10            180.0                  45.0                  NaN   \n",
       "11            184.0                  45.0                  NaN   \n",
       "12            152.0                  45.0                  NaN   \n",
       "13            144.0                  45.0                  NaN   \n",
       "14            100.0                  45.0                  NaN   \n",
       "15             84.0                  45.0                  NaN   \n",
       "16             72.0                  45.0                  NaN   \n",
       "17            165.0                  45.0                  NaN   \n",
       "18             70.0                  45.0                  NaN   \n",
       "19             68.0                  45.0                  NaN   \n",
       "20             64.0                  45.0                  NaN   \n",
       "21             52.0                  45.0                  NaN   \n",
       "22             50.0                  45.0                  NaN   \n",
       "23             44.0                  45.0                  NaN   \n",
       "24             32.0                  45.0                  NaN   \n",
       "25             27.0                  45.0                  NaN   \n",
       "26             26.0                  45.0                  NaN   \n",
       "27             24.0                  45.0                  NaN   \n",
       "28             22.0                  45.0                  NaN   \n",
       "29             19.0                  45.0                  NaN   \n",
       "30              6.0                  45.0                  NaN   \n",
       "31              4.0                  45.0                  NaN   \n",
       "32            121.0                  45.0                  NaN   \n",
       "33            150.0                  45.0                  NaN   \n",
       "34            178.0                  45.0                  NaN   \n",
       "35            131.0                  45.0                  NaN   \n",
       "36            159.0                  45.0                  NaN   \n",
       "37            194.0                  45.0                  NaN   \n",
       "38            190.0                  45.0                  NaN   \n",
       "39            138.0                  45.0                  NaN   \n",
       "40            123.0                  45.0                  NaN   \n",
       "41            117.0                  45.0                  NaN   \n",
       "42            111.0                  45.0                  NaN   \n",
       "43             85.0                  45.0                  NaN   \n",
       "44            139.0                  45.0                  NaN   \n",
       "45             71.0                  45.0                  NaN   \n",
       "46            183.0                  45.0                  NaN   \n",
       "47            133.0                  45.0                  NaN   \n",
       "48            164.0                  45.0                  NaN   \n",
       "49            148.0                  45.0                  NaN   \n",
       "50            106.0                  45.0                  NaN   \n",
       "51             94.0                  45.0                  NaN   \n",
       "52            186.0                  45.0                  NaN   \n",
       "53             66.0                  45.0                  NaN   \n",
       "54             63.0                  45.0                  NaN   \n",
       "55            130.0                  45.0                  NaN   \n",
       "56             59.0                  45.0                  NaN   \n",
       "57             47.0                  45.0                  NaN   \n",
       "58            109.0                  45.0                  NaN   \n",
       "59             41.0                  45.0                  NaN   \n",
       "60            169.0                  45.0                  NaN   \n",
       "61             35.0                  45.0                  NaN   \n",
       "62             83.0                  45.0                  NaN   \n",
       "63             33.0                  45.0                  NaN   \n",
       "64            153.0                  45.0                  NaN   \n",
       "65              3.0                  45.0                  NaN   \n",
       "66              NaN                   NaN                  NaN   \n",
       "\n",
       "    tippingPoint26_all_2020  freq26_tipacc_2020  tippingPoint26_acc_2020  \\\n",
       "0                    2971.0                 0.0                   2970.0   \n",
       "1                       NaN                 NaN                      NaN   \n",
       "2                       NaN                 NaN                      NaN   \n",
       "3                       NaN                 NaN                      NaN   \n",
       "4                       NaN                 NaN                      NaN   \n",
       "5                       NaN                 NaN                      NaN   \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",
       "    Policy26_2020  freq26_2020_policy  scenario26_2020  freq26_2020_scenario  \\\n",
       "0            43.0                66.0            187.0                  45.0   \n",
       "1            21.0                66.0             76.0                  45.0   \n",
       "2            19.0                66.0            115.0                  45.0   \n",
       "3            18.0                66.0            101.0                  45.0   \n",
       "4            17.0                66.0             87.0                  45.0   \n",
       "5            16.0                66.0            141.0                  45.0   \n",
       "6            15.0                66.0             81.0                  45.0   \n",
       "7            14.0                66.0            155.0                  45.0   \n",
       "8            13.0                66.0            137.0                  45.0   \n",
       "9            12.0                66.0            192.0                  45.0   \n",
       "10           11.0                66.0            180.0                  45.0   \n",
       "11           10.0                66.0            184.0                  45.0   \n",
       "12            9.0                66.0            152.0                  45.0   \n",
       "13            8.0                66.0            144.0                  45.0   \n",
       "14            7.0                66.0            100.0                  45.0   \n",
       "15            6.0                66.0             84.0                  45.0   \n",
       "16            5.0                66.0             72.0                  45.0   \n",
       "17            4.0                66.0            165.0                  45.0   \n",
       "18            3.0                66.0             70.0                  45.0   \n",
       "19            2.0                66.0             68.0                  45.0   \n",
       "20            1.0                66.0             64.0                  45.0   \n",
       "21           20.0                66.0             52.0                  45.0   \n",
       "22           22.0                66.0             50.0                  45.0   \n",
       "23           41.0                66.0             44.0                  45.0   \n",
       "24           23.0                66.0             32.0                  45.0   \n",
       "25           39.0                66.0             27.0                  45.0   \n",
       "26           37.0                66.0             26.0                  45.0   \n",
       "27           35.0                66.0             24.0                  45.0   \n",
       "28           33.0                66.0             22.0                  45.0   \n",
       "29           44.0                66.0             19.0                  45.0   \n",
       "30           42.0                66.0              6.0                  45.0   \n",
       "31           40.0                66.0              4.0                  45.0   \n",
       "32           38.0                66.0            121.0                  45.0   \n",
       "33           36.0                66.0            150.0                  45.0   \n",
       "34           34.0                66.0            178.0                  45.0   \n",
       "35           32.0                66.0            131.0                  45.0   \n",
       "36           31.0                66.0            159.0                  45.0   \n",
       "37           30.0                66.0            194.0                  45.0   \n",
       "38           29.0                66.0            190.0                  45.0   \n",
       "39           28.0                66.0            138.0                  45.0   \n",
       "40           27.0                66.0            123.0                  45.0   \n",
       "41           26.0                66.0            117.0                  45.0   \n",
       "42           25.0                66.0            111.0                  45.0   \n",
       "43           24.0                66.0             85.0                  45.0   \n",
       "44            0.0                66.0            139.0                  45.0   \n",
       "45            NaN                 NaN             71.0                  45.0   \n",
       "46            NaN                 NaN            183.0                  45.0   \n",
       "47            NaN                 NaN            133.0                  45.0   \n",
       "48            NaN                 NaN            164.0                  45.0   \n",
       "49            NaN                 NaN            148.0                  45.0   \n",
       "50            NaN                 NaN            106.0                  45.0   \n",
       "51            NaN                 NaN             94.0                  45.0   \n",
       "52            NaN                 NaN            186.0                  45.0   \n",
       "53            NaN                 NaN             66.0                  45.0   \n",
       "54            NaN                 NaN             63.0                  45.0   \n",
       "55            NaN                 NaN            130.0                  45.0   \n",
       "56            NaN                 NaN             59.0                  45.0   \n",
       "57            NaN                 NaN             47.0                  45.0   \n",
       "58            NaN                 NaN            109.0                  45.0   \n",
       "59            NaN                 NaN             41.0                  45.0   \n",
       "60            NaN                 NaN            169.0                  45.0   \n",
       "61            NaN                 NaN             35.0                  45.0   \n",
       "62            NaN                 NaN             83.0                  45.0   \n",
       "63            NaN                 NaN             33.0                  45.0   \n",
       "64            NaN                 NaN            153.0                  45.0   \n",
       "65            NaN                 NaN              3.0                  45.0   \n",
       "66            NaN                 NaN              NaN                   NaN   \n",
       "\n",
       "    freq26_tip_all_2050  tippingPoint26_all_2050  freq26_tipacc_2050  \\\n",
       "0                   0.0                   2966.0                 0.0   \n",
       "1                   1.0                      5.0                 NaN   \n",
       "2                   NaN                      NaN                 NaN   \n",
       "3                   NaN                      NaN                 NaN   \n",
       "4                   NaN                      NaN                 NaN   \n",
       "5                   NaN                      NaN                 NaN   \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_2050  Policy26_2050  freq26_2050_policy  \\\n",
       "0                    2965.0           43.0                66.0   \n",
       "1                       NaN           41.0                66.0   \n",
       "2                       NaN           18.0                66.0   \n",
       "3                       NaN           17.0                66.0   \n",
       "4                       NaN           16.0                66.0   \n",
       "5                       NaN           14.0                66.0   \n",
       "6                       NaN           13.0                66.0   \n",
       "7                       NaN           12.0                66.0   \n",
       "8                       NaN           11.0                66.0   \n",
       "9                       NaN           10.0                66.0   \n",
       "10                      NaN            9.0                66.0   \n",
       "11                      NaN            8.0                66.0   \n",
       "12                      NaN            7.0                66.0   \n",
       "13                      NaN            6.0                66.0   \n",
       "14                      NaN            5.0                66.0   \n",
       "15                      NaN            4.0                66.0   \n",
       "16                      NaN            3.0                66.0   \n",
       "17                      NaN            2.0                66.0   \n",
       "18                      NaN            1.0                66.0   \n",
       "19                      NaN           21.0                66.0   \n",
       "20                      NaN           22.0                66.0   \n",
       "21                      NaN           32.0                66.0   \n",
       "22                      NaN           34.0                66.0   \n",
       "23                      NaN           39.0                66.0   \n",
       "24                      NaN           37.0                66.0   \n",
       "25                      NaN           35.0                66.0   \n",
       "26                      NaN           33.0                66.0   \n",
       "27                      NaN           44.0                66.0   \n",
       "28                      NaN           42.0                66.0   \n",
       "29                      NaN           40.0                66.0   \n",
       "30                      NaN           38.0                66.0   \n",
       "31                      NaN           36.0                66.0   \n",
       "32                      NaN            0.0                66.0   \n",
       "33                      NaN           31.0                66.0   \n",
       "34                      NaN           30.0                66.0   \n",
       "35                      NaN           29.0                66.0   \n",
       "36                      NaN           28.0                66.0   \n",
       "37                      NaN           27.0                66.0   \n",
       "38                      NaN           26.0                66.0   \n",
       "39                      NaN           25.0                66.0   \n",
       "40                      NaN           24.0                65.0   \n",
       "41                      NaN           15.0                65.0   \n",
       "42                      NaN           19.0                65.0   \n",
       "43                      NaN           20.0                65.0   \n",
       "44                      NaN           23.0                65.0   \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             187.0                  45.0                  0.0   \n",
       "1             178.0                  45.0                  1.0   \n",
       "2             121.0                  45.0                  NaN   \n",
       "3             115.0                  45.0                  NaN   \n",
       "4             101.0                  45.0                  NaN   \n",
       "5              87.0                  45.0                  NaN   \n",
       "6             141.0                  45.0                  NaN   \n",
       "7              81.0                  45.0                  NaN   \n",
       "8             137.0                  45.0                  NaN   \n",
       "9             192.0                  45.0                  NaN   \n",
       "10            180.0                  45.0                  NaN   \n",
       "11            184.0                  45.0                  NaN   \n",
       "12            152.0                  45.0                  NaN   \n",
       "13            144.0                  45.0                  NaN   \n",
       "14            100.0                  45.0                  NaN   \n",
       "15             84.0                  45.0                  NaN   \n",
       "16             76.0                  45.0                  NaN   \n",
       "17             72.0                  45.0                  NaN   \n",
       "18             70.0                  45.0                  NaN   \n",
       "19             68.0                  45.0                  NaN   \n",
       "20             64.0                  45.0                  NaN   \n",
       "21             50.0                  45.0                  NaN   \n",
       "22             44.0                  45.0                  NaN   \n",
       "23             32.0                  45.0                  NaN   \n",
       "24             27.0                  45.0                  NaN   \n",
       "25             26.0                  45.0                  NaN   \n",
       "26             24.0                  45.0                  NaN   \n",
       "27             22.0                  45.0                  NaN   \n",
       "28             19.0                  45.0                  NaN   \n",
       "29              6.0                  45.0                  NaN   \n",
       "30              4.0                  45.0                  NaN   \n",
       "31            165.0                  45.0                  NaN   \n",
       "32            150.0                  45.0                  NaN   \n",
       "33            131.0                  45.0                  NaN   \n",
       "34             94.0                  45.0                  NaN   \n",
       "35            159.0                  45.0                  NaN   \n",
       "36            194.0                  45.0                  NaN   \n",
       "37            190.0                  45.0                  NaN   \n",
       "38            138.0                  45.0                  NaN   \n",
       "39            123.0                  45.0                  NaN   \n",
       "40            111.0                  45.0                  NaN   \n",
       "41             85.0                  45.0                  NaN   \n",
       "42             71.0                  45.0                  NaN   \n",
       "43            183.0                  45.0                  NaN   \n",
       "44            133.0                  45.0                  NaN   \n",
       "45            164.0                  45.0                  NaN   \n",
       "46            148.0                  45.0                  NaN   \n",
       "47            153.0                  45.0                  NaN   \n",
       "48            106.0                  45.0                  NaN   \n",
       "49            186.0                  45.0                  NaN   \n",
       "50             66.0                  45.0                  NaN   \n",
       "51             33.0                  45.0                  NaN   \n",
       "52             83.0                  45.0                  NaN   \n",
       "53             35.0                  45.0                  NaN   \n",
       "54            169.0                  45.0                  NaN   \n",
       "55             41.0                  45.0                  NaN   \n",
       "56            109.0                  45.0                  NaN   \n",
       "57             59.0                  45.0                  NaN   \n",
       "58            130.0                  45.0                  NaN   \n",
       "59             63.0                  45.0                  NaN   \n",
       "60              3.0                  45.0                  NaN   \n",
       "61            139.0                  44.0                  NaN   \n",
       "62            155.0                  44.0                  NaN   \n",
       "63            117.0                  44.0                  NaN   \n",
       "64             47.0                  44.0                  NaN   \n",
       "65             52.0                  44.0                  NaN   \n",
       "66              NaN                   NaN                  NaN   \n",
       "\n",
       "    tippingPoint26_all_2070  freq26_tipacc_2070  tippingPoint26_acc_2070  \\\n",
       "0                    2970.0                 0.0                   2969.0   \n",
       "1                       1.0                 NaN                      NaN   \n",
       "2                       NaN                 NaN                      NaN   \n",
       "3                       NaN                 NaN                      NaN   \n",
       "4                       NaN                 NaN                      NaN   \n",
       "5                       NaN                 NaN                      NaN   \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",
       "    Policy26_2070  freq26_2070_policy  scenario26_2070  freq26_2070_scenario  \\\n",
       "0            43.0                66.0            187.0                  45.0   \n",
       "1            21.0                66.0             76.0                  45.0   \n",
       "2            19.0                66.0            115.0                  45.0   \n",
       "3            18.0                66.0            101.0                  45.0   \n",
       "4            17.0                66.0             87.0                  45.0   \n",
       "5            16.0                66.0            141.0                  45.0   \n",
       "6            15.0                66.0             81.0                  45.0   \n",
       "7            14.0                66.0            155.0                  45.0   \n",
       "8            13.0                66.0            137.0                  45.0   \n",
       "9            12.0                66.0            192.0                  45.0   \n",
       "10           11.0                66.0            180.0                  45.0   \n",
       "11           10.0                66.0            184.0                  45.0   \n",
       "12            9.0                66.0            152.0                  45.0   \n",
       "13            8.0                66.0            144.0                  45.0   \n",
       "14            7.0                66.0            100.0                  45.0   \n",
       "15            6.0                66.0             84.0                  45.0   \n",
       "16            5.0                66.0             72.0                  45.0   \n",
       "17            4.0                66.0            165.0                  45.0   \n",
       "18            3.0                66.0             70.0                  45.0   \n",
       "19            2.0                66.0             68.0                  45.0   \n",
       "20            1.0                66.0             64.0                  45.0   \n",
       "21           20.0                66.0             52.0                  45.0   \n",
       "22           22.0                66.0             50.0                  45.0   \n",
       "23           41.0                66.0             44.0                  45.0   \n",
       "24           23.0                66.0             32.0                  45.0   \n",
       "25           39.0                66.0             27.0                  45.0   \n",
       "26           37.0                66.0             26.0                  45.0   \n",
       "27           35.0                66.0             24.0                  45.0   \n",
       "28           33.0                66.0             22.0                  45.0   \n",
       "29           44.0                66.0             19.0                  45.0   \n",
       "30           42.0                66.0              6.0                  45.0   \n",
       "31           40.0                66.0              4.0                  45.0   \n",
       "32           38.0                66.0            121.0                  45.0   \n",
       "33           36.0                66.0            150.0                  45.0   \n",
       "34           34.0                66.0            178.0                  45.0   \n",
       "35           32.0                66.0            131.0                  45.0   \n",
       "36           31.0                66.0            159.0                  45.0   \n",
       "37           30.0                66.0            194.0                  45.0   \n",
       "38           29.0                66.0            190.0                  45.0   \n",
       "39           28.0                66.0            138.0                  45.0   \n",
       "40           27.0                66.0            123.0                  45.0   \n",
       "41           26.0                66.0            117.0                  45.0   \n",
       "42           25.0                66.0            111.0                  45.0   \n",
       "43            0.0                66.0             85.0                  45.0   \n",
       "44           24.0                65.0             71.0                  45.0   \n",
       "45            NaN                 NaN            183.0                  45.0   \n",
       "46            NaN                 NaN            133.0                  45.0   \n",
       "47            NaN                 NaN            164.0                  45.0   \n",
       "48            NaN                 NaN            148.0                  45.0   \n",
       "49            NaN                 NaN            106.0                  45.0   \n",
       "50            NaN                 NaN             94.0                  45.0   \n",
       "51            NaN                 NaN            186.0                  45.0   \n",
       "52            NaN                 NaN             66.0                  45.0   \n",
       "53            NaN                 NaN             63.0                  45.0   \n",
       "54            NaN                 NaN            130.0                  45.0   \n",
       "55            NaN                 NaN             59.0                  45.0   \n",
       "56            NaN                 NaN             47.0                  45.0   \n",
       "57            NaN                 NaN            109.0                  45.0   \n",
       "58            NaN                 NaN             41.0                  45.0   \n",
       "59            NaN                 NaN            169.0                  45.0   \n",
       "60            NaN                 NaN             35.0                  45.0   \n",
       "61            NaN                 NaN             83.0                  45.0   \n",
       "62            NaN                 NaN             33.0                  45.0   \n",
       "63            NaN                 NaN            153.0                  45.0   \n",
       "64            NaN                 NaN              3.0                  45.0   \n",
       "65            NaN                 NaN            139.0                  44.0   \n",
       "66            NaN                 NaN              NaN                   NaN   \n",
       "\n",
       "    freq45_tip_all_1980  tippingPoint45_all_1980  ...  scenario45_2070  \\\n",
       "0                   0.0                   3016.0  ...            135.0   \n",
       "1                   NaN                      NaN  ...            125.0   \n",
       "2                   NaN                      NaN  ...            198.0   \n",
       "3                   NaN                      NaN  ...             89.0   \n",
       "4                   NaN                      NaN  ...             75.0   \n",
       "5                   NaN                      NaN  ...            185.0   \n",
       "6                   NaN                      NaN  ...             69.0   \n",
       "7                   NaN                      NaN  ...            145.0   \n",
       "8                   NaN                      NaN  ...            176.0   \n",
       "9                   NaN                      NaN  ...            168.0   \n",
       "10                  NaN                      NaN  ...            116.0   \n",
       "11                  NaN                      NaN  ...            108.0   \n",
       "12                  NaN                      NaN  ...            104.0   \n",
       "13                  NaN                      NaN  ...             88.0   \n",
       "14                  NaN                      NaN  ...             80.0   \n",
       "15                  NaN                      NaN  ...             60.0   \n",
       "16                  NaN                      NaN  ...             42.0   \n",
       "17                  NaN                      NaN  ...             31.0   \n",
       "18                  NaN                      NaN  ...             29.0   \n",
       "19                  NaN                      NaN  ...             28.0   \n",
       "20                  NaN                      NaN  ...             23.0   \n",
       "21                  NaN                      NaN  ...             20.0   \n",
       "22                  NaN                      NaN  ...             18.0   \n",
       "23                  NaN                      NaN  ...             17.0   \n",
       "24                  NaN                      NaN  ...             16.0   \n",
       "25                  NaN                      NaN  ...             14.0   \n",
       "26                  NaN                      NaN  ...             12.0   \n",
       "27                  NaN                      NaN  ...              7.0   \n",
       "28                  NaN                      NaN  ...              5.0   \n",
       "29                  NaN                      NaN  ...            158.0   \n",
       "30                  NaN                      NaN  ...            199.0   \n",
       "31                  NaN                      NaN  ...            182.0   \n",
       "32                  NaN                      NaN  ...             90.0   \n",
       "33                  NaN                      NaN  ...            154.0   \n",
       "34                  NaN                      NaN  ...            174.0   \n",
       "35                  NaN                      NaN  ...            113.0   \n",
       "36                  NaN                      NaN  ...             77.0   \n",
       "37                  NaN                      NaN  ...            143.0   \n",
       "38                  NaN                      NaN  ...             67.0   \n",
       "39                  NaN                      NaN  ...            167.0   \n",
       "40                  NaN                      NaN  ...            196.0   \n",
       "41                  NaN                      NaN  ...            126.0   \n",
       "42                  NaN                      NaN  ...            118.0   \n",
       "43                  NaN                      NaN  ...            114.0   \n",
       "44                  NaN                      NaN  ...            110.0   \n",
       "45                  NaN                      NaN  ...            162.0   \n",
       "46                  NaN                      NaN  ...             98.0   \n",
       "47                  NaN                      NaN  ...            170.0   \n",
       "48                  NaN                      NaN  ...            146.0   \n",
       "49                  NaN                      NaN  ...             51.0   \n",
       "50                  NaN                      NaN  ...            147.0   \n",
       "51                  NaN                      NaN  ...            191.0   \n",
       "52                  NaN                      NaN  ...             37.0   \n",
       "53                  NaN                      NaN  ...             73.0   \n",
       "54                  NaN                      NaN  ...             43.0   \n",
       "55                  NaN                      NaN  ...             74.0   \n",
       "56                  NaN                      NaN  ...            179.0   \n",
       "57                  NaN                      NaN  ...            105.0   \n",
       "58                  NaN                      NaN  ...             53.0   \n",
       "59                  NaN                      NaN  ...              1.0   \n",
       "60                  NaN                      NaN  ...             25.0   \n",
       "61                  NaN                      NaN  ...            163.0   \n",
       "62                  NaN                      NaN  ...            124.0   \n",
       "63                  NaN                      NaN  ...             99.0   \n",
       "64                  NaN                      NaN  ...             10.0   \n",
       "65                  NaN                      NaN  ...             36.0   \n",
       "66                  NaN                      NaN  ...            112.0   \n",
       "\n",
       "    freq45_2070_scenario  freq85_tip_all_1980  tippingPoint85_all_1980  \\\n",
       "0                   45.0                  0.0                   3016.0   \n",
       "1                   45.0                  NaN                      NaN   \n",
       "2                   45.0                  NaN                      NaN   \n",
       "3                   45.0                  NaN                      NaN   \n",
       "4                   45.0                  NaN                      NaN   \n",
       "5                   45.0                  NaN                      NaN   \n",
       "6                   45.0                  NaN                      NaN   \n",
       "7                   45.0                  NaN                      NaN   \n",
       "8                   45.0                  NaN                      NaN   \n",
       "9                   45.0                  NaN                      NaN   \n",
       "10                  45.0                  NaN                      NaN   \n",
       "11                  45.0                  NaN                      NaN   \n",
       "12                  45.0                  NaN                      NaN   \n",
       "13                  45.0                  NaN                      NaN   \n",
       "14                  45.0                  NaN                      NaN   \n",
       "15                  45.0                  NaN                      NaN   \n",
       "16                  45.0                  NaN                      NaN   \n",
       "17                  45.0                  NaN                      NaN   \n",
       "18                  45.0                  NaN                      NaN   \n",
       "19                  45.0                  NaN                      NaN   \n",
       "20                  45.0                  NaN                      NaN   \n",
       "21                  45.0                  NaN                      NaN   \n",
       "22                  45.0                  NaN                      NaN   \n",
       "23                  45.0                  NaN                      NaN   \n",
       "24                  45.0                  NaN                      NaN   \n",
       "25                  45.0                  NaN                      NaN   \n",
       "26                  45.0                  NaN                      NaN   \n",
       "27                  45.0                  NaN                      NaN   \n",
       "28                  45.0                  NaN                      NaN   \n",
       "29                  45.0                  NaN                      NaN   \n",
       "30                  45.0                  NaN                      NaN   \n",
       "31                  45.0                  NaN                      NaN   \n",
       "32                  45.0                  NaN                      NaN   \n",
       "33                  45.0                  NaN                      NaN   \n",
       "34                  45.0                  NaN                      NaN   \n",
       "35                  45.0                  NaN                      NaN   \n",
       "36                  45.0                  NaN                      NaN   \n",
       "37                  45.0                  NaN                      NaN   \n",
       "38                  45.0                  NaN                      NaN   \n",
       "39                  45.0                  NaN                      NaN   \n",
       "40                  45.0                  NaN                      NaN   \n",
       "41                  45.0                  NaN                      NaN   \n",
       "42                  45.0                  NaN                      NaN   \n",
       "43                  45.0                  NaN                      NaN   \n",
       "44                  45.0                  NaN                      NaN   \n",
       "45                  45.0                  NaN                      NaN   \n",
       "46                  45.0                  NaN                      NaN   \n",
       "47                  45.0                  NaN                      NaN   \n",
       "48                  45.0                  NaN                      NaN   \n",
       "49                  45.0                  NaN                      NaN   \n",
       "50                  45.0                  NaN                      NaN   \n",
       "51                  45.0                  NaN                      NaN   \n",
       "52                  45.0                  NaN                      NaN   \n",
       "53                  45.0                  NaN                      NaN   \n",
       "54                  45.0                  NaN                      NaN   \n",
       "55                  45.0                  NaN                      NaN   \n",
       "56                  45.0                  NaN                      NaN   \n",
       "57                  45.0                  NaN                      NaN   \n",
       "58                  45.0                  NaN                      NaN   \n",
       "59                  45.0                  NaN                      NaN   \n",
       "60                  44.0                  NaN                      NaN   \n",
       "61                  44.0                  NaN                      NaN   \n",
       "62                  44.0                  NaN                      NaN   \n",
       "63                  44.0                  NaN                      NaN   \n",
       "64                  44.0                  NaN                      NaN   \n",
       "65                  44.0                  NaN                      NaN   \n",
       "66                  44.0                  NaN                      NaN   \n",
       "\n",
       "    freq85_tipacc_1980  tippingPoint85_acc_1980  Policy85_1980  \\\n",
       "0                  0.0                   3015.0           43.0   \n",
       "1                  NaN                      NaN           21.0   \n",
       "2                  NaN                      NaN           19.0   \n",
       "3                  NaN                      NaN           18.0   \n",
       "4                  NaN                      NaN           17.0   \n",
       "5                  NaN                      NaN           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                 67.0            135.0                  45.0   \n",
       "1                 67.0             42.0                  45.0   \n",
       "2                 67.0            185.0                  45.0   \n",
       "3                 67.0             69.0                  45.0   \n",
       "4                 67.0            163.0                  45.0   \n",
       "5                 67.0            145.0                  45.0   \n",
       "6                 67.0            176.0                  45.0   \n",
       "7                 67.0            168.0                  45.0   \n",
       "8                 67.0            124.0                  45.0   \n",
       "9                 67.0            116.0                  45.0   \n",
       "10                67.0            112.0                  45.0   \n",
       "11                67.0            108.0                  45.0   \n",
       "12                67.0            104.0                  45.0   \n",
       "13                67.0             88.0                  45.0   \n",
       "14                67.0             80.0                  45.0   \n",
       "15                67.0             60.0                  45.0   \n",
       "16                67.0             36.0                  45.0   \n",
       "17                67.0             89.0                  45.0   \n",
       "18                67.0             31.0                  45.0   \n",
       "19                67.0             29.0                  45.0   \n",
       "20                67.0             28.0                  45.0   \n",
       "21                67.0             25.0                  45.0   \n",
       "22                67.0             23.0                  45.0   \n",
       "23                67.0             20.0                  45.0   \n",
       "24                67.0             18.0                  45.0   \n",
       "25                67.0             17.0                  45.0   \n",
       "26                67.0             16.0                  45.0   \n",
       "27                67.0             14.0                  45.0   \n",
       "28                67.0             12.0                  45.0   \n",
       "29                67.0             10.0                  45.0   \n",
       "30                67.0              7.0                  45.0   \n",
       "31                67.0              5.0                  45.0   \n",
       "32                67.0             75.0                  45.0   \n",
       "33                67.0            199.0                  45.0   \n",
       "34                67.0            198.0                  45.0   \n",
       "35                67.0             98.0                  45.0   \n",
       "36                67.0            154.0                  45.0   \n",
       "37                67.0            174.0                  45.0   \n",
       "38                67.0            113.0                  45.0   \n",
       "39                67.0             99.0                  45.0   \n",
       "40                67.0             77.0                  45.0   \n",
       "41                67.0            143.0                  45.0   \n",
       "42                67.0             67.0                  45.0   \n",
       "43                67.0            167.0                  45.0   \n",
       "44                67.0            196.0                  45.0   \n",
       "45                 NaN            126.0                  45.0   \n",
       "46                 NaN            118.0                  45.0   \n",
       "47                 NaN            114.0                  45.0   \n",
       "48                 NaN            110.0                  45.0   \n",
       "49                 NaN            170.0                  45.0   \n",
       "50                 NaN             90.0                  45.0   \n",
       "51                 NaN            158.0                  45.0   \n",
       "52                 NaN            146.0                  45.0   \n",
       "53                 NaN             74.0                  45.0   \n",
       "54                 NaN             53.0                  45.0   \n",
       "55                 NaN            105.0                  45.0   \n",
       "56                 NaN             51.0                  45.0   \n",
       "57                 NaN            179.0                  45.0   \n",
       "58                 NaN             43.0                  45.0   \n",
       "59                 NaN             73.0                  45.0   \n",
       "60                 NaN             37.0                  45.0   \n",
       "61                 NaN            191.0                  45.0   \n",
       "62                 NaN            147.0                  45.0   \n",
       "63                 NaN            162.0                  45.0   \n",
       "64                 NaN            182.0                  45.0   \n",
       "65                 NaN            125.0                  45.0   \n",
       "66                 NaN              1.0                  45.0   \n",
       "\n",
       "    freq85_tip_all_2020  tippingPoint85_all_2020  freq85_tipacc_2020  \\\n",
       "0                   0.0                   3016.0                 0.0   \n",
       "1                   NaN                      NaN                 NaN   \n",
       "2                   NaN                      NaN                 NaN   \n",
       "3                   NaN                      NaN                 NaN   \n",
       "4                   NaN                      NaN                 NaN   \n",
       "5                   NaN                      NaN                 NaN   \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",
       "    tippingPoint85_acc_2020  Policy85_2020  freq85_2020_policy  \\\n",
       "0                    3015.0           43.0                67.0   \n",
       "1                       NaN           21.0                67.0   \n",
       "2                       NaN           19.0                67.0   \n",
       "3                       NaN           18.0                67.0   \n",
       "4                       NaN           17.0                67.0   \n",
       "5                       NaN           16.0                67.0   \n",
       "6                       NaN           15.0                67.0   \n",
       "7                       NaN           14.0                67.0   \n",
       "8                       NaN           13.0                67.0   \n",
       "9                       NaN           12.0                67.0   \n",
       "10                      NaN           11.0                67.0   \n",
       "11                      NaN           10.0                67.0   \n",
       "12                      NaN            9.0                67.0   \n",
       "13                      NaN            8.0                67.0   \n",
       "14                      NaN            7.0                67.0   \n",
       "15                      NaN            6.0                67.0   \n",
       "16                      NaN            5.0                67.0   \n",
       "17                      NaN            4.0                67.0   \n",
       "18                      NaN            3.0                67.0   \n",
       "19                      NaN            2.0                67.0   \n",
       "20                      NaN            1.0                67.0   \n",
       "21                      NaN           20.0                67.0   \n",
       "22                      NaN           22.0                67.0   \n",
       "23                      NaN           41.0                67.0   \n",
       "24                      NaN           23.0                67.0   \n",
       "25                      NaN           39.0                67.0   \n",
       "26                      NaN           37.0                67.0   \n",
       "27                      NaN           35.0                67.0   \n",
       "28                      NaN           33.0                67.0   \n",
       "29                      NaN           44.0                67.0   \n",
       "30                      NaN           42.0                67.0   \n",
       "31                      NaN           40.0                67.0   \n",
       "32                      NaN           38.0                67.0   \n",
       "33                      NaN           36.0                67.0   \n",
       "34                      NaN           34.0                67.0   \n",
       "35                      NaN           32.0                67.0   \n",
       "36                      NaN           31.0                67.0   \n",
       "37                      NaN           30.0                67.0   \n",
       "38                      NaN           29.0                67.0   \n",
       "39                      NaN           28.0                67.0   \n",
       "40                      NaN           27.0                67.0   \n",
       "41                      NaN           26.0                67.0   \n",
       "42                      NaN           25.0                67.0   \n",
       "43                      NaN           24.0                67.0   \n",
       "44                      NaN            0.0                67.0   \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             135.0                  45.0                  0.0   \n",
       "1              42.0                  45.0                  1.0   \n",
       "2             185.0                  45.0                  NaN   \n",
       "3              69.0                  45.0                  NaN   \n",
       "4             163.0                  45.0                  NaN   \n",
       "5             145.0                  45.0                  NaN   \n",
       "6             176.0                  45.0                  NaN   \n",
       "7             168.0                  45.0                  NaN   \n",
       "8             124.0                  45.0                  NaN   \n",
       "9             116.0                  45.0                  NaN   \n",
       "10            112.0                  45.0                  NaN   \n",
       "11            108.0                  45.0                  NaN   \n",
       "12            104.0                  45.0                  NaN   \n",
       "13             88.0                  45.0                  NaN   \n",
       "14             80.0                  45.0                  NaN   \n",
       "15             60.0                  45.0                  NaN   \n",
       "16             36.0                  45.0                  NaN   \n",
       "17             89.0                  45.0                  NaN   \n",
       "18             31.0                  45.0                  NaN   \n",
       "19             29.0                  45.0                  NaN   \n",
       "20             28.0                  45.0                  NaN   \n",
       "21             25.0                  45.0                  NaN   \n",
       "22             23.0                  45.0                  NaN   \n",
       "23             20.0                  45.0                  NaN   \n",
       "24             18.0                  45.0                  NaN   \n",
       "25             17.0                  45.0                  NaN   \n",
       "26             16.0                  45.0                  NaN   \n",
       "27             14.0                  45.0                  NaN   \n",
       "28             12.0                  45.0                  NaN   \n",
       "29             10.0                  45.0                  NaN   \n",
       "30              7.0                  45.0                  NaN   \n",
       "31              5.0                  45.0                  NaN   \n",
       "32             75.0                  45.0                  NaN   \n",
       "33            199.0                  45.0                  NaN   \n",
       "34            198.0                  45.0                  NaN   \n",
       "35             98.0                  45.0                  NaN   \n",
       "36            154.0                  45.0                  NaN   \n",
       "37            174.0                  45.0                  NaN   \n",
       "38            113.0                  45.0                  NaN   \n",
       "39             99.0                  45.0                  NaN   \n",
       "40             77.0                  45.0                  NaN   \n",
       "41            143.0                  45.0                  NaN   \n",
       "42             67.0                  45.0                  NaN   \n",
       "43            167.0                  45.0                  NaN   \n",
       "44            196.0                  45.0                  NaN   \n",
       "45            126.0                  45.0                  NaN   \n",
       "46            118.0                  45.0                  NaN   \n",
       "47            114.0                  45.0                  NaN   \n",
       "48            110.0                  45.0                  NaN   \n",
       "49            170.0                  45.0                  NaN   \n",
       "50             90.0                  45.0                  NaN   \n",
       "51            158.0                  45.0                  NaN   \n",
       "52            146.0                  45.0                  NaN   \n",
       "53             74.0                  45.0                  NaN   \n",
       "54             53.0                  45.0                  NaN   \n",
       "55            105.0                  45.0                  NaN   \n",
       "56             51.0                  45.0                  NaN   \n",
       "57            179.0                  45.0                  NaN   \n",
       "58             43.0                  45.0                  NaN   \n",
       "59             73.0                  45.0                  NaN   \n",
       "60             37.0                  45.0                  NaN   \n",
       "61            191.0                  45.0                  NaN   \n",
       "62            147.0                  45.0                  NaN   \n",
       "63            162.0                  45.0                  NaN   \n",
       "64            182.0                  45.0                  NaN   \n",
       "65            125.0                  45.0                  NaN   \n",
       "66              1.0                  45.0                  NaN   \n",
       "\n",
       "    tippingPoint85_all_2050  freq85_tipacc_2050  tippingPoint85_acc_2050  \\\n",
       "0                    3006.0                 0.0                   3005.0   \n",
       "1                      10.0                 NaN                      NaN   \n",
       "2                       NaN                 NaN                      NaN   \n",
       "3                       NaN                 NaN                      NaN   \n",
       "4                       NaN                 NaN                      NaN   \n",
       "5                       NaN                 NaN                      NaN   \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",
       "    Policy85_2050  freq85_2050_policy  scenario85_2050  freq85_2050_scenario  \\\n",
       "0            43.0                67.0            135.0                  45.0   \n",
       "1            11.0                67.0            125.0                  45.0   \n",
       "2            20.0                67.0             75.0                  45.0   \n",
       "3            19.0                67.0            185.0                  45.0   \n",
       "4            18.0                67.0             69.0                  45.0   \n",
       "5            17.0                67.0            163.0                  45.0   \n",
       "6            16.0                67.0            145.0                  45.0   \n",
       "7            15.0                67.0            176.0                  45.0   \n",
       "8            14.0                67.0            168.0                  45.0   \n",
       "9            12.0                67.0            116.0                  45.0   \n",
       "10           10.0                67.0            108.0                  45.0   \n",
       "11           41.0                67.0            104.0                  45.0   \n",
       "12            9.0                67.0             88.0                  45.0   \n",
       "13            8.0                67.0             80.0                  45.0   \n",
       "14            7.0                67.0             60.0                  45.0   \n",
       "15            6.0                67.0             42.0                  45.0   \n",
       "16            5.0                67.0             36.0                  45.0   \n",
       "17            4.0                67.0             31.0                  45.0   \n",
       "18            2.0                67.0             29.0                  45.0   \n",
       "19            1.0                67.0             28.0                  45.0   \n",
       "20           21.0                67.0             25.0                  45.0   \n",
       "21           22.0                67.0             23.0                  45.0   \n",
       "22           34.0                67.0             20.0                  45.0   \n",
       "23           32.0                67.0             17.0                  45.0   \n",
       "24           39.0                67.0             16.0                  45.0   \n",
       "25           37.0                67.0             14.0                  45.0   \n",
       "26           35.0                67.0             10.0                  45.0   \n",
       "27           33.0                67.0              7.0                  45.0   \n",
       "28           42.0                67.0              5.0                  45.0   \n",
       "29           40.0                67.0             89.0                  45.0   \n",
       "30           38.0                67.0            199.0                  45.0   \n",
       "31           36.0                67.0            182.0                  45.0   \n",
       "32            0.0                67.0            146.0                  45.0   \n",
       "33           31.0                67.0            154.0                  45.0   \n",
       "34           30.0                67.0            174.0                  45.0   \n",
       "35           29.0                67.0            113.0                  45.0   \n",
       "36           28.0                67.0             77.0                  45.0   \n",
       "37           26.0                67.0            143.0                  45.0   \n",
       "38           25.0                67.0             67.0                  45.0   \n",
       "39           13.0                66.0            167.0                  45.0   \n",
       "40           44.0                66.0            196.0                  45.0   \n",
       "41            3.0                66.0            126.0                  45.0   \n",
       "42           27.0                65.0            118.0                  45.0   \n",
       "43           23.0                65.0            114.0                  45.0   \n",
       "44           24.0                64.0            110.0                  45.0   \n",
       "45            NaN                 NaN            170.0                  45.0   \n",
       "46            NaN                 NaN             90.0                  45.0   \n",
       "47            NaN                 NaN             98.0                  45.0   \n",
       "48            NaN                 NaN             74.0                  45.0   \n",
       "49            NaN                 NaN             43.0                  45.0   \n",
       "50            NaN                 NaN            162.0                  45.0   \n",
       "51            NaN                 NaN            147.0                  45.0   \n",
       "52            NaN                 NaN            191.0                  45.0   \n",
       "53            NaN                 NaN             37.0                  45.0   \n",
       "54            NaN                 NaN             73.0                  45.0   \n",
       "55            NaN                 NaN             51.0                  45.0   \n",
       "56            NaN                 NaN            105.0                  45.0   \n",
       "57            NaN                 NaN             53.0                  45.0   \n",
       "58            NaN                 NaN            179.0                  44.0   \n",
       "59            NaN                 NaN            158.0                  44.0   \n",
       "60            NaN                 NaN             18.0                  44.0   \n",
       "61            NaN                 NaN            124.0                  44.0   \n",
       "62            NaN                 NaN             99.0                  44.0   \n",
       "63            NaN                 NaN             12.0                  44.0   \n",
       "64            NaN                 NaN            198.0                  44.0   \n",
       "65            NaN                 NaN              1.0                  44.0   \n",
       "66            NaN                 NaN            112.0                  43.0   \n",
       "\n",
       "    freq85_tip_all_2070  tippingPoint85_all_2070  freq85_tipacc_2070  \\\n",
       "0                   0.0                   2914.0                 0.0   \n",
       "1                   1.0                     99.0                 NaN   \n",
       "2                   2.0                      3.0                 NaN   \n",
       "3                   NaN                      NaN                 NaN   \n",
       "4                   NaN                      NaN                 NaN   \n",
       "5                   NaN                      NaN                 NaN   \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",
       "    tippingPoint85_acc_2070  Policy85_2070  freq85_2070_policy  \\\n",
       "0                    2913.0            0.0                67.0   \n",
       "1                       NaN           14.0                67.0   \n",
       "2                       NaN           18.0                67.0   \n",
       "3                       NaN           11.0                67.0   \n",
       "4                       NaN           10.0                67.0   \n",
       "5                       NaN           21.0                67.0   \n",
       "6                       NaN            9.0                67.0   \n",
       "7                       NaN            8.0                67.0   \n",
       "8                       NaN            7.0                67.0   \n",
       "9                       NaN           25.0                67.0   \n",
       "10                      NaN           26.0                67.0   \n",
       "11                      NaN           28.0                67.0   \n",
       "12                      NaN           29.0                67.0   \n",
       "13                      NaN           30.0                67.0   \n",
       "14                      NaN           31.0                67.0   \n",
       "15                      NaN           32.0                67.0   \n",
       "16                      NaN           34.0                67.0   \n",
       "17                      NaN           36.0                67.0   \n",
       "18                      NaN           38.0                67.0   \n",
       "19                      NaN           40.0                67.0   \n",
       "20                      NaN            5.0                67.0   \n",
       "21                      NaN            4.0                67.0   \n",
       "22                      NaN           33.0                67.0   \n",
       "23                      NaN           35.0                67.0   \n",
       "24                      NaN            2.0                67.0   \n",
       "25                      NaN           16.0                67.0   \n",
       "26                      NaN            6.0                66.0   \n",
       "27                      NaN            1.0                66.0   \n",
       "28                      NaN           12.0                66.0   \n",
       "29                      NaN           22.0                66.0   \n",
       "30                      NaN           42.0                66.0   \n",
       "31                      NaN           37.0                66.0   \n",
       "32                      NaN           39.0                66.0   \n",
       "33                      NaN           41.0                65.0   \n",
       "34                      NaN           15.0                64.0   \n",
       "35                      NaN           19.0                64.0   \n",
       "36                      NaN           17.0                63.0   \n",
       "37                      NaN           43.0                62.0   \n",
       "38                      NaN           20.0                61.0   \n",
       "39                      NaN           27.0                59.0   \n",
       "40                      NaN            3.0                59.0   \n",
       "41                      NaN           13.0                57.0   \n",
       "42                      NaN           23.0                54.0   \n",
       "43                      NaN           44.0                51.0   \n",
       "44                      NaN           24.0                50.0   \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_2070  freq85_2070_scenario  \n",
       "0             128.0                  45.0  \n",
       "1             172.0                  45.0  \n",
       "2             197.0                  45.0  \n",
       "3              56.0                  45.0  \n",
       "4              57.0                  45.0  \n",
       "5              78.0                  45.0  \n",
       "6              86.0                  45.0  \n",
       "7             102.0                  45.0  \n",
       "8             151.0                  45.0  \n",
       "9              91.0                  45.0  \n",
       "10             13.0                  45.0  \n",
       "11             79.0                  45.0  \n",
       "12             92.0                  45.0  \n",
       "13            103.0                  45.0  \n",
       "14             65.0                  44.0  \n",
       "15             46.0                  44.0  \n",
       "16            195.0                  44.0  \n",
       "17            119.0                  44.0  \n",
       "18            142.0                  44.0  \n",
       "19            171.0                  44.0  \n",
       "20            129.0                  44.0  \n",
       "21            188.0                  44.0  \n",
       "22            120.0                  44.0  \n",
       "23             62.0                  44.0  \n",
       "24            173.0                  44.0  \n",
       "25            107.0                  44.0  \n",
       "26            175.0                  44.0  \n",
       "27              9.0                  44.0  \n",
       "28            132.0                  44.0  \n",
       "29             55.0                  44.0  \n",
       "30            134.0                  44.0  \n",
       "31             82.0                  44.0  \n",
       "32            127.0                  44.0  \n",
       "33            189.0                  44.0  \n",
       "34             11.0                  44.0  \n",
       "35            149.0                  44.0  \n",
       "36             96.0                  43.0  \n",
       "37             48.0                  43.0  \n",
       "38             15.0                  43.0  \n",
       "39             38.0                  43.0  \n",
       "40             21.0                  43.0  \n",
       "41             30.0                  43.0  \n",
       "42             54.0                  43.0  \n",
       "43             58.0                  43.0  \n",
       "44             97.0                  43.0  \n",
       "45             49.0                  43.0  \n",
       "46             61.0                  43.0  \n",
       "47            160.0                  43.0  \n",
       "48            166.0                  43.0  \n",
       "49             93.0                  43.0  \n",
       "50            193.0                  43.0  \n",
       "51            161.0                  43.0  \n",
       "52             39.0                  43.0  \n",
       "53             45.0                  43.0  \n",
       "54            177.0                  43.0  \n",
       "55            156.0                  43.0  \n",
       "56            122.0                  43.0  \n",
       "57            140.0                  42.0  \n",
       "58              0.0                  42.0  \n",
       "59             95.0                  42.0  \n",
       "60            157.0                  42.0  \n",
       "61            181.0                  42.0  \n",
       "62             40.0                  41.0  \n",
       "63              8.0                  41.0  \n",
       "64            136.0                  41.0  \n",
       "65             34.0                  40.0  \n",
       "66              2.0                  39.0  \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[0:44, 'Policy26_2020'].to_list()\n",
    "y_26 = df_final_tipping_point_1980_2070.loc[0:44, '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[0:44, 'Policy45_2070'].to_list()\n",
    "y2_45 = df_final_tipping_point_1980_2070.loc[0:44, '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[0:44, 'Policy85_2070'].to_list()\n",
    "y2_85 = df_final_tipping_point_1980_2070.loc[0:44, 'freq85_2070_policy'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[43.0,\n",
       " 21.0,\n",
       " 19.0,\n",
       " 18.0,\n",
       " 17.0,\n",
       " 16.0,\n",
       " 15.0,\n",
       " 14.0,\n",
       " 13.0,\n",
       " 12.0,\n",
       " 11.0,\n",
       " 10.0,\n",
       " 9.0,\n",
       " 8.0,\n",
       " 7.0,\n",
       " 6.0,\n",
       " 5.0,\n",
       " 4.0,\n",
       " 3.0,\n",
       " 2.0,\n",
       " 1.0,\n",
       " 20.0,\n",
       " 22.0,\n",
       " 41.0,\n",
       " 23.0,\n",
       " 39.0,\n",
       " 37.0,\n",
       " 35.0,\n",
       " 33.0,\n",
       " 44.0,\n",
       " 42.0,\n",
       " 40.0,\n",
       " 38.0,\n",
       " 36.0,\n",
       " 34.0,\n",
       " 32.0,\n",
       " 31.0,\n",
       " 30.0,\n",
       " 29.0,\n",
       " 28.0,\n",
       " 27.0,\n",
       " 26.0,\n",
       " 25.0,\n",
       " 24.0,\n",
       " 0.0]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0]"
      ]
     },
     "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([42.75, 20.75, 18.75, 17.75, 16.75, 15.75, 14.75, 13.75, 12.75,\n",
       "       11.75, 10.75,  9.75,  8.75,  7.75,  6.75,  5.75,  4.75,  3.75,\n",
       "        2.75,  1.75,  0.75, 19.75, 21.75, 40.75, 22.75, 38.75, 36.75,\n",
       "       34.75, 32.75, 43.75, 41.75, 39.75, 37.75, 35.75, 33.75, 31.75,\n",
       "       30.75, 29.75, 28.75, 27.75, 26.75, 25.75, 24.75, 23.75, -0.25])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_26_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "title_Figs = 'case4_Les Diablerets (2500m)'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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": 34,
   "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": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 67.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 65.0,\n",
       " 64.0]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_45"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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": 37,
   "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": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 65.0,\n",
       " 64.0,\n",
       " 64.0,\n",
       " 63.0,\n",
       " 62.0,\n",
       " 61.0,\n",
       " 59.0,\n",
       " 59.0,\n",
       " 57.0,\n",
       " 54.0,\n",
       " 51.0,\n",
       " 50.0]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.25, 14.25, 18.25, 11.25, 10.25, 21.25,  9.25,  8.25,  7.25,\n",
       "       25.25, 26.25, 28.25, 29.25, 30.25, 31.25, 32.25, 34.25, 36.25,\n",
       "       38.25, 40.25,  5.25,  4.25, 33.25, 35.25,  2.25, 16.25,  6.25,\n",
       "        1.25, 12.25, 22.25, 42.25, 37.25, 39.25, 41.25, 15.25, 19.25,\n",
       "       17.25, 43.25, 20.25, 27.25,  3.25, 13.25, 23.25, 44.25, 24.25])"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2_85_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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": []
  },
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