tipping_points_case2_Atzmaenning.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",
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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>5.0</td>\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>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>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</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>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</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>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>185.0</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>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>189.0</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>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>194.0</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>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>195.0</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>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</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                    2.0              0.0   \n",
       "4                     2.0                    1.0              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               4.0                  0.0                    0.0   \n",
       "1               5.0                  0.0                    0.0   \n",
       "2               9.0                  0.0                    2.0   \n",
       "3              14.0                  2.0                    2.0   \n",
       "4              16.0                  2.0                    2.0   \n",
       "...             ...                  ...                    ...   \n",
       "3011            NaN                  4.0                    2.0   \n",
       "3012            NaN                  2.0                    4.0   \n",
       "3013            NaN                  4.0                    4.0   \n",
       "3014            NaN                  4.0                    2.0   \n",
       "3015            NaN                  2.0                    NaN   \n",
       "\n",
       "      scenario45_1980  policy45_1980  tippingPoint85_1980  \\\n",
       "0                 0.0            1.0                  0.0   \n",
       "1                 0.0            3.0                  0.0   \n",
       "2                 0.0            6.0                  0.0   \n",
       "3                 0.0            7.0                  0.0   \n",
       "4                 0.0            8.0                  1.0   \n",
       "...               ...            ...                  ...   \n",
       "3011             44.0          193.0                  4.0   \n",
       "3012             44.0          196.0                  4.0   \n",
       "3013             44.0          198.0                  2.0   \n",
       "3014             44.0          199.0                  3.0   \n",
       "3015              NaN            NaN                  4.0   \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           10.0  \n",
       "3                       1.0              0.0           13.0  \n",
       "4                       2.0              0.0           15.0  \n",
       "...                     ...              ...            ...  \n",
       "3011                    4.0             44.0          185.0  \n",
       "3012                    2.0             44.0          189.0  \n",
       "3013                    3.0             44.0          194.0  \n",
       "3014                    4.0             44.0          195.0  \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>1211.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1210.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>632.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>632.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>447.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>447.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>469.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>469.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>799.0</td>\n",
       "      <td>...</td>\n",
       "      <td>164.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>799.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>798.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>580.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>580.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>642.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>451.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1338.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>566.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>566.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>536.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>536.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>432.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>464.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>394.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>...</td>\n",
       "      <td>147.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>471.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>471.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>579.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1211.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>545.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>545.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>455.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>455.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>381.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>394.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>370.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>601.0</td>\n",
       "      <td>...</td>\n",
       "      <td>193.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>601.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>601.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>463.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>505.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>412.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>381.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>354.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>370.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>364.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>337.0</td>\n",
       "      <td>...</td>\n",
       "      <td>34.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>337.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>337.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>309.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>451.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>332.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>331.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>354.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>364.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>...</td>\n",
       "      <td>196.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>309.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>293.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>316.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>185.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>354.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>...</td>\n",
       "      <td>136.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>293.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>257.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>...</td>\n",
       "      <td>111.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>288.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>140.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>162.0</td>\n",
       "      <td>1.0</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>124.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>73.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>120.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>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>14.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>67.0</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>33.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>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>19.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>77.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>136.0</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>61.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>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>16.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>92.0</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>60.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>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>8.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>67.0</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>16.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>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>25.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>137.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>19.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>96.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>82.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>67.0</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>37.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>65.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>146.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>56.0</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>56.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>151.0</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>65.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>139.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>67.0</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>29.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>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>20.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>67.0</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>13.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>54.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>92.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>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>26.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>161.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>38.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>48.0</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>65.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>157.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>67.0</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>35.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>40.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>60.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>53.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>38.0</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>65.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>178.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>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>42.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>115.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</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>30.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>35.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>23.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>8.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>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>38.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</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>25.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>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>12.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>145.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>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>21.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>129.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>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>15.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>107.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</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>21.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>9.0</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>58.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>89.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>67.0</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>41.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>80.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>67.0</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>24.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>24.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>26.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>18.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>28.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>67.0</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>18.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>103.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>56.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>157.0</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>28.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>109.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>121.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>46.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>122.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</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>34.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>27.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>188.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>67.0</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>27.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>23.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</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>23.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>97.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>99.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>67.0</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>44.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>11.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>141.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>67.0</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>11.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>31.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>68.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>193.0</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>16.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>36.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>177.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>107.0</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>15.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>149.0</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>32.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>187.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</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>40.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>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>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>39.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>127.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>132.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>134.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>175.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>97.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>177.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>14.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>198.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>175.0</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>6.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>96.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>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>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>119.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>111.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>86.0</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>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>143.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>193.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>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>124.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>173.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>192.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172.0</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>121.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>61.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>167.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>21.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>143.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>98.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>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>122.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>139.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>74.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>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>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>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>192.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>49.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>65.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>134.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>190.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>197.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>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>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>51.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>178.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>45.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>93.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.0</td>\n",
       "      <td>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>34.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>181.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>53.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>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>74.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>149.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>197.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>17.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>188.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>168.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>151.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>20.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>170.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>171.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>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>129.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>36.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>167.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>87.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>161.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>171.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>155.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>165.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>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>82.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>134.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>173.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>130.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>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>130.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142.0</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>123.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>172.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>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>21.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>199.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>199.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>150.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>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>199.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 96 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    freq26_tip_all_1980  tippingPoint26_all_1980  freq26_tipacc_1980  \\\n",
       "0                   0.0                   1211.0                 0.0   \n",
       "1                   2.0                    566.0                 2.0   \n",
       "2                   1.0                    545.0                 1.0   \n",
       "3                   3.0                    285.0                 3.0   \n",
       "4                   4.0                    168.0                 4.0   \n",
       "5                   5.0                    147.0                 5.0   \n",
       "6                   6.0                     48.0                 6.0   \n",
       "7                   7.0                      1.0                 7.0   \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                    1210.0           43.0                66.0   \n",
       "1                     566.0           21.0                66.0   \n",
       "2                     545.0           19.0                66.0   \n",
       "3                     285.0           18.0                66.0   \n",
       "4                     168.0           17.0                66.0   \n",
       "5                     147.0           16.0                66.0   \n",
       "6                      48.0           15.0                66.0   \n",
       "7                       1.0           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             173.0                  45.0                  1.0   \n",
       "1              76.0                  45.0                  2.0   \n",
       "2             197.0                  45.0                  3.0   \n",
       "3             163.0                  45.0                  4.0   \n",
       "4             169.0                  45.0                  0.0   \n",
       "5             168.0                  45.0                  5.0   \n",
       "6             156.0                  45.0                  6.0   \n",
       "7             128.0                  45.0                  7.0   \n",
       "8             124.0                  45.0                  8.0   \n",
       "9             120.0                  45.0                  NaN   \n",
       "10            116.0                  45.0                  NaN   \n",
       "11            108.0                  45.0                  NaN   \n",
       "12            104.0                  45.0                  NaN   \n",
       "13            100.0                  45.0                  NaN   \n",
       "14             94.0                  45.0                  NaN   \n",
       "15             96.0                  45.0                  NaN   \n",
       "16             72.0                  45.0                  NaN   \n",
       "17            151.0                  45.0                  NaN   \n",
       "18             66.0                  45.0                  NaN   \n",
       "19             54.0                  45.0                  NaN   \n",
       "20             52.0                  45.0                  NaN   \n",
       "21             48.0                  45.0                  NaN   \n",
       "22             40.0                  45.0                  NaN   \n",
       "23             38.0                  45.0                  NaN   \n",
       "24             36.0                  45.0                  NaN   \n",
       "25             27.0                  45.0                  NaN   \n",
       "26             24.0                  45.0                  NaN   \n",
       "27             19.0                  45.0                  NaN   \n",
       "28             16.0                  45.0                  NaN   \n",
       "29             14.0                  45.0                  NaN   \n",
       "30              9.0                  45.0                  NaN   \n",
       "31              5.0                  45.0                  NaN   \n",
       "32             81.0                  45.0                  NaN   \n",
       "33            165.0                  45.0                  NaN   \n",
       "34            103.0                  45.0                  NaN   \n",
       "35            109.0                  45.0                  NaN   \n",
       "36            174.0                  45.0                  NaN   \n",
       "37            170.0                  45.0                  NaN   \n",
       "38            123.0                  45.0                  NaN   \n",
       "39             97.0                  45.0                  NaN   \n",
       "40            155.0                  45.0                  NaN   \n",
       "41             71.0                  45.0                  NaN   \n",
       "42            167.0                  45.0                  NaN   \n",
       "43            149.0                  45.0                  NaN   \n",
       "44            148.0                  45.0                  NaN   \n",
       "45            132.0                  45.0                  NaN   \n",
       "46            118.0                  45.0                  NaN   \n",
       "47            106.0                  45.0                  NaN   \n",
       "48             90.0                  45.0                  NaN   \n",
       "49             86.0                  45.0                  NaN   \n",
       "50             63.0                  45.0                  NaN   \n",
       "51             61.0                  45.0                  NaN   \n",
       "52            190.0                  45.0                  NaN   \n",
       "53             59.0                  45.0                  NaN   \n",
       "54             49.0                  45.0                  NaN   \n",
       "55            134.0                  45.0                  NaN   \n",
       "56             45.0                  45.0                  NaN   \n",
       "57            181.0                  45.0                  NaN   \n",
       "58             41.0                  45.0                  NaN   \n",
       "59             85.0                  45.0                  NaN   \n",
       "60             33.0                  45.0                  NaN   \n",
       "61            191.0                  45.0                  NaN   \n",
       "62            131.0                  45.0                  NaN   \n",
       "63            186.0                  45.0                  NaN   \n",
       "64            142.0                  45.0                  NaN   \n",
       "65              4.0                  45.0                  NaN   \n",
       "66              NaN                   NaN                  NaN   \n",
       "\n",
       "    tippingPoint26_all_2020  freq26_tipacc_2020  tippingPoint26_acc_2020  \\\n",
       "0                     632.0                 1.0                    632.0   \n",
       "1                     536.0                 2.0                    536.0   \n",
       "2                     455.0                 3.0                    455.0   \n",
       "3                     340.0                 4.0                    340.0   \n",
       "4                     332.0                 0.0                    331.0   \n",
       "5                     322.0                 5.0                    322.0   \n",
       "6                     257.0                 NaN                      NaN   \n",
       "7                      80.0                 NaN                      NaN   \n",
       "8                      17.0                 NaN                      NaN   \n",
       "9                       NaN                 NaN                      NaN   \n",
       "10                      NaN                 NaN                      NaN   \n",
       "11                      NaN                 NaN                      NaN   \n",
       "12                      NaN                 NaN                      NaN   \n",
       "13                      NaN                 NaN                      NaN   \n",
       "14                      NaN                 NaN                      NaN   \n",
       "15                      NaN                 NaN                      NaN   \n",
       "16                      NaN                 NaN                      NaN   \n",
       "17                      NaN                 NaN                      NaN   \n",
       "18                      NaN                 NaN                      NaN   \n",
       "19                      NaN                 NaN                      NaN   \n",
       "20                      NaN                 NaN                      NaN   \n",
       "21                      NaN                 NaN                      NaN   \n",
       "22                      NaN                 NaN                      NaN   \n",
       "23                      NaN                 NaN                      NaN   \n",
       "24                      NaN                 NaN                      NaN   \n",
       "25                      NaN                 NaN                      NaN   \n",
       "26                      NaN                 NaN                      NaN   \n",
       "27                      NaN                 NaN                      NaN   \n",
       "28                      NaN                 NaN                      NaN   \n",
       "29                      NaN                 NaN                      NaN   \n",
       "30                      NaN                 NaN                      NaN   \n",
       "31                      NaN                 NaN                      NaN   \n",
       "32                      NaN                 NaN                      NaN   \n",
       "33                      NaN                 NaN                      NaN   \n",
       "34                      NaN                 NaN                      NaN   \n",
       "35                      NaN                 NaN                      NaN   \n",
       "36                      NaN                 NaN                      NaN   \n",
       "37                      NaN                 NaN                      NaN   \n",
       "38                      NaN                 NaN                      NaN   \n",
       "39                      NaN                 NaN                      NaN   \n",
       "40                      NaN                 NaN                      NaN   \n",
       "41                      NaN                 NaN                      NaN   \n",
       "42                      NaN                 NaN                      NaN   \n",
       "43                      NaN                 NaN                      NaN   \n",
       "44                      NaN                 NaN                      NaN   \n",
       "45                      NaN                 NaN                      NaN   \n",
       "46                      NaN                 NaN                      NaN   \n",
       "47                      NaN                 NaN                      NaN   \n",
       "48                      NaN                 NaN                      NaN   \n",
       "49                      NaN                 NaN                      NaN   \n",
       "50                      NaN                 NaN                      NaN   \n",
       "51                      NaN                 NaN                      NaN   \n",
       "52                      NaN                 NaN                      NaN   \n",
       "53                      NaN                 NaN                      NaN   \n",
       "54                      NaN                 NaN                      NaN   \n",
       "55                      NaN                 NaN                      NaN   \n",
       "56                      NaN                 NaN                      NaN   \n",
       "57                      NaN                 NaN                      NaN   \n",
       "58                      NaN                 NaN                      NaN   \n",
       "59                      NaN                 NaN                      NaN   \n",
       "60                      NaN                 NaN                      NaN   \n",
       "61                      NaN                 NaN                      NaN   \n",
       "62                      NaN                 NaN                      NaN   \n",
       "63                      NaN                 NaN                      NaN   \n",
       "64                      NaN                 NaN                      NaN   \n",
       "65                      NaN                 NaN                      NaN   \n",
       "66                      NaN                 NaN                      NaN   \n",
       "\n",
       "    Policy26_2020  freq26_2020_policy  scenario26_2020  freq26_2020_scenario  \\\n",
       "0             3.0                66.0            131.0                  44.0   \n",
       "1             4.0                66.0             85.0                  43.0   \n",
       "2            33.0                66.0             41.0                  43.0   \n",
       "3            28.0                66.0            181.0                  43.0   \n",
       "4             6.0                66.0             19.0                  43.0   \n",
       "5            17.0                66.0             54.0                  43.0   \n",
       "6            10.0                66.0            100.0                  42.0   \n",
       "7            13.0                66.0            169.0                  42.0   \n",
       "8            32.0                66.0            156.0                  42.0   \n",
       "9            22.0                65.0            128.0                  42.0   \n",
       "10           14.0                65.0             90.0                  42.0   \n",
       "11           19.0                65.0             16.0                  42.0   \n",
       "12           16.0                65.0            148.0                  42.0   \n",
       "13            8.0                65.0              5.0                  42.0   \n",
       "14           25.0                65.0             48.0                  41.0   \n",
       "15            7.0                65.0            186.0                  41.0   \n",
       "16            5.0                65.0            116.0                  41.0   \n",
       "17            1.0                65.0             61.0                  41.0   \n",
       "18           20.0                65.0            191.0                  41.0   \n",
       "19            0.0                65.0            118.0                  41.0   \n",
       "20           26.0                65.0            142.0                  40.0   \n",
       "21           37.0                65.0            197.0                  40.0   \n",
       "22           29.0                65.0              9.0                  40.0   \n",
       "23           30.0                65.0             66.0                  40.0   \n",
       "24           42.0                65.0            163.0                  40.0   \n",
       "25           35.0                64.0             40.0                  40.0   \n",
       "26           38.0                64.0            120.0                  40.0   \n",
       "27           12.0                63.0             76.0                  40.0   \n",
       "28           21.0                63.0            173.0                  40.0   \n",
       "29           15.0                63.0            165.0                  40.0   \n",
       "30           41.0                58.0            174.0                  40.0   \n",
       "31            9.0                55.0            132.0                  40.0   \n",
       "32           24.0                55.0             33.0                  40.0   \n",
       "33           18.0                52.0            151.0                  39.0   \n",
       "34           43.0                52.0             38.0                  39.0   \n",
       "35            2.0                48.0            104.0                  39.0   \n",
       "36           34.0                46.0             52.0                  39.0   \n",
       "37           27.0                46.0             63.0                  39.0   \n",
       "38           23.0                43.0             71.0                  39.0   \n",
       "39           44.0                40.0            155.0                  39.0   \n",
       "40           11.0                39.0             27.0                  39.0   \n",
       "41           31.0                37.0            106.0                  39.0   \n",
       "42           36.0                34.0             24.0                  39.0   \n",
       "43           40.0                32.0             45.0                  39.0   \n",
       "44           39.0                28.0             81.0                  39.0   \n",
       "45            NaN                 NaN             94.0                  39.0   \n",
       "46            NaN                 NaN             97.0                  38.0   \n",
       "47            NaN                 NaN             14.0                  38.0   \n",
       "48            NaN                 NaN             96.0                  38.0   \n",
       "49            NaN                 NaN            109.0                  38.0   \n",
       "50            NaN                 NaN            124.0                  38.0   \n",
       "51            NaN                 NaN            167.0                  38.0   \n",
       "52            NaN                 NaN             49.0                  38.0   \n",
       "53            NaN                 NaN             59.0                  38.0   \n",
       "54            NaN                 NaN              4.0                  38.0   \n",
       "55            NaN                 NaN            190.0                  38.0   \n",
       "56            NaN                 NaN            108.0                  38.0   \n",
       "57            NaN                 NaN             86.0                  38.0   \n",
       "58            NaN                 NaN            149.0                  37.0   \n",
       "59            NaN                 NaN            168.0                  37.0   \n",
       "60            NaN                 NaN            170.0                  37.0   \n",
       "61            NaN                 NaN             36.0                  37.0   \n",
       "62            NaN                 NaN             72.0                  36.0   \n",
       "63            NaN                 NaN            134.0                  36.0   \n",
       "64            NaN                 NaN            123.0                  36.0   \n",
       "65            NaN                 NaN            103.0                  36.0   \n",
       "66            NaN                 NaN              NaN                   NaN   \n",
       "\n",
       "    freq26_tip_all_2050  tippingPoint26_all_2050  freq26_tipacc_2050  \\\n",
       "0                   4.0                    447.0                 4.0   \n",
       "1                   6.0                    432.0                 5.0   \n",
       "2                   5.0                    414.0                 3.0   \n",
       "3                   3.0                    381.0                 2.0   \n",
       "4                   7.0                    354.0                 1.0   \n",
       "5                   2.0                    354.0                 0.0   \n",
       "6                   1.0                    230.0                 NaN   \n",
       "7                   0.0                    188.0                 NaN   \n",
       "8                   8.0                    143.0                 NaN   \n",
       "9                   9.0                     28.0                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint26_acc_2050  Policy26_2050  freq26_2050_policy  \\\n",
       "0                     447.0            4.0                65.0   \n",
       "1                     414.0           32.0                65.0   \n",
       "2                     381.0            3.0                65.0   \n",
       "3                     354.0            6.0                63.0   \n",
       "4                     230.0           10.0                63.0   \n",
       "5                     187.0           28.0                62.0   \n",
       "6                       NaN            7.0                62.0   \n",
       "7                       NaN            5.0                62.0   \n",
       "8                       NaN           17.0                62.0   \n",
       "9                       NaN           33.0                62.0   \n",
       "10                      NaN            0.0                60.0   \n",
       "11                      NaN           19.0                59.0   \n",
       "12                      NaN           16.0                59.0   \n",
       "13                      NaN            1.0                58.0   \n",
       "14                      NaN           14.0                58.0   \n",
       "15                      NaN           42.0                57.0   \n",
       "16                      NaN           37.0                56.0   \n",
       "17                      NaN           35.0                55.0   \n",
       "18                      NaN           13.0                55.0   \n",
       "19                      NaN            8.0                53.0   \n",
       "20                      NaN           22.0                52.0   \n",
       "21                      NaN           26.0                52.0   \n",
       "22                      NaN           38.0                51.0   \n",
       "23                      NaN           29.0                51.0   \n",
       "24                      NaN           20.0                50.0   \n",
       "25                      NaN           30.0                50.0   \n",
       "26                      NaN           12.0                48.0   \n",
       "27                      NaN           25.0                47.0   \n",
       "28                      NaN           21.0                45.0   \n",
       "29                      NaN           15.0                41.0   \n",
       "30                      NaN           41.0                38.0   \n",
       "31                      NaN           24.0                35.0   \n",
       "32                      NaN           34.0                29.0   \n",
       "33                      NaN            9.0                28.0   \n",
       "34                      NaN           18.0                25.0   \n",
       "35                      NaN           43.0                23.0   \n",
       "36                      NaN           23.0                21.0   \n",
       "37                      NaN           27.0                20.0   \n",
       "38                      NaN            2.0                19.0   \n",
       "39                      NaN           31.0                17.0   \n",
       "40                      NaN           36.0                15.0   \n",
       "41                      NaN           11.0                15.0   \n",
       "42                      NaN           40.0                14.0   \n",
       "43                      NaN           44.0                13.0   \n",
       "44                      NaN           39.0                13.0   \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              76.0                  36.0                  5.0   \n",
       "1             170.0                  35.0                  6.0   \n",
       "2             123.0                  35.0                  4.0   \n",
       "3              24.0                  34.0                  2.0   \n",
       "4               5.0                  34.0                  3.0   \n",
       "5              61.0                  34.0                  7.0   \n",
       "6               4.0                  33.0                  1.0   \n",
       "7             191.0                  33.0                  0.0   \n",
       "8              33.0                  33.0                  8.0   \n",
       "9              41.0                  33.0                  NaN   \n",
       "10             52.0                  33.0                  NaN   \n",
       "11            128.0                  33.0                  NaN   \n",
       "12             71.0                  33.0                  NaN   \n",
       "13            163.0                  33.0                  NaN   \n",
       "14            167.0                  32.0                  NaN   \n",
       "15            116.0                  32.0                  NaN   \n",
       "16             85.0                  32.0                  NaN   \n",
       "17            103.0                  32.0                  NaN   \n",
       "18            186.0                  32.0                  NaN   \n",
       "19            174.0                  32.0                  NaN   \n",
       "20            104.0                  32.0                  NaN   \n",
       "21            118.0                  32.0                  NaN   \n",
       "22            132.0                  32.0                  NaN   \n",
       "23             54.0                  32.0                  NaN   \n",
       "24            156.0                  32.0                  NaN   \n",
       "25             36.0                  32.0                  NaN   \n",
       "26            149.0                  31.0                  NaN   \n",
       "27             94.0                  31.0                  NaN   \n",
       "28            100.0                  31.0                  NaN   \n",
       "29             49.0                  31.0                  NaN   \n",
       "30             27.0                  31.0                  NaN   \n",
       "31            151.0                  31.0                  NaN   \n",
       "32            148.0                  31.0                  NaN   \n",
       "33            106.0                  31.0                  NaN   \n",
       "34             48.0                  30.0                  NaN   \n",
       "35              9.0                  30.0                  NaN   \n",
       "36             38.0                  30.0                  NaN   \n",
       "37            165.0                  30.0                  NaN   \n",
       "38            181.0                  30.0                  NaN   \n",
       "39            190.0                  30.0                  NaN   \n",
       "40            134.0                  30.0                  NaN   \n",
       "41             97.0                  30.0                  NaN   \n",
       "42             19.0                  29.0                  NaN   \n",
       "43            169.0                  29.0                  NaN   \n",
       "44            124.0                  29.0                  NaN   \n",
       "45             40.0                  29.0                  NaN   \n",
       "46            109.0                  29.0                  NaN   \n",
       "47            142.0                  29.0                  NaN   \n",
       "48             14.0                  29.0                  NaN   \n",
       "49             63.0                  28.0                  NaN   \n",
       "50             59.0                  28.0                  NaN   \n",
       "51             72.0                  28.0                  NaN   \n",
       "52             96.0                  28.0                  NaN   \n",
       "53             86.0                  28.0                  NaN   \n",
       "54             81.0                  28.0                  NaN   \n",
       "55            197.0                  28.0                  NaN   \n",
       "56            120.0                  28.0                  NaN   \n",
       "57            168.0                  28.0                  NaN   \n",
       "58            131.0                  28.0                  NaN   \n",
       "59             45.0                  27.0                  NaN   \n",
       "60             66.0                  27.0                  NaN   \n",
       "61            108.0                  27.0                  NaN   \n",
       "62            155.0                  27.0                  NaN   \n",
       "63            173.0                  27.0                  NaN   \n",
       "64             90.0                  26.0                  NaN   \n",
       "65             16.0                  25.0                  NaN   \n",
       "66              NaN                   NaN                  NaN   \n",
       "\n",
       "    tippingPoint26_all_2070  freq26_tipacc_2070  tippingPoint26_acc_2070  \\\n",
       "0                     469.0                 5.0                    469.0   \n",
       "1                     464.0                 4.0                    394.0   \n",
       "2                     394.0                 2.0                    370.0   \n",
       "3                     370.0                 3.0                    364.0   \n",
       "4                     364.0                 1.0                    276.0   \n",
       "5                     324.0                 0.0                    221.0   \n",
       "6                     276.0                 NaN                      NaN   \n",
       "7                     222.0                 NaN                      NaN   \n",
       "8                      88.0                 NaN                      NaN   \n",
       "9                       NaN                 NaN                      NaN   \n",
       "10                      NaN                 NaN                      NaN   \n",
       "11                      NaN                 NaN                      NaN   \n",
       "12                      NaN                 NaN                      NaN   \n",
       "13                      NaN                 NaN                      NaN   \n",
       "14                      NaN                 NaN                      NaN   \n",
       "15                      NaN                 NaN                      NaN   \n",
       "16                      NaN                 NaN                      NaN   \n",
       "17                      NaN                 NaN                      NaN   \n",
       "18                      NaN                 NaN                      NaN   \n",
       "19                      NaN                 NaN                      NaN   \n",
       "20                      NaN                 NaN                      NaN   \n",
       "21                      NaN                 NaN                      NaN   \n",
       "22                      NaN                 NaN                      NaN   \n",
       "23                      NaN                 NaN                      NaN   \n",
       "24                      NaN                 NaN                      NaN   \n",
       "25                      NaN                 NaN                      NaN   \n",
       "26                      NaN                 NaN                      NaN   \n",
       "27                      NaN                 NaN                      NaN   \n",
       "28                      NaN                 NaN                      NaN   \n",
       "29                      NaN                 NaN                      NaN   \n",
       "30                      NaN                 NaN                      NaN   \n",
       "31                      NaN                 NaN                      NaN   \n",
       "32                      NaN                 NaN                      NaN   \n",
       "33                      NaN                 NaN                      NaN   \n",
       "34                      NaN                 NaN                      NaN   \n",
       "35                      NaN                 NaN                      NaN   \n",
       "36                      NaN                 NaN                      NaN   \n",
       "37                      NaN                 NaN                      NaN   \n",
       "38                      NaN                 NaN                      NaN   \n",
       "39                      NaN                 NaN                      NaN   \n",
       "40                      NaN                 NaN                      NaN   \n",
       "41                      NaN                 NaN                      NaN   \n",
       "42                      NaN                 NaN                      NaN   \n",
       "43                      NaN                 NaN                      NaN   \n",
       "44                      NaN                 NaN                      NaN   \n",
       "45                      NaN                 NaN                      NaN   \n",
       "46                      NaN                 NaN                      NaN   \n",
       "47                      NaN                 NaN                      NaN   \n",
       "48                      NaN                 NaN                      NaN   \n",
       "49                      NaN                 NaN                      NaN   \n",
       "50                      NaN                 NaN                      NaN   \n",
       "51                      NaN                 NaN                      NaN   \n",
       "52                      NaN                 NaN                      NaN   \n",
       "53                      NaN                 NaN                      NaN   \n",
       "54                      NaN                 NaN                      NaN   \n",
       "55                      NaN                 NaN                      NaN   \n",
       "56                      NaN                 NaN                      NaN   \n",
       "57                      NaN                 NaN                      NaN   \n",
       "58                      NaN                 NaN                      NaN   \n",
       "59                      NaN                 NaN                      NaN   \n",
       "60                      NaN                 NaN                      NaN   \n",
       "61                      NaN                 NaN                      NaN   \n",
       "62                      NaN                 NaN                      NaN   \n",
       "63                      NaN                 NaN                      NaN   \n",
       "64                      NaN                 NaN                      NaN   \n",
       "65                      NaN                 NaN                      NaN   \n",
       "66                      NaN                 NaN                      NaN   \n",
       "\n",
       "    Policy26_2070  freq26_2070_policy  scenario26_2070  freq26_2070_scenario  \\\n",
       "0             4.0                66.0            106.0                  38.0   \n",
       "1            28.0                66.0             61.0                  36.0   \n",
       "2            10.0                66.0            170.0                  36.0   \n",
       "3            32.0                66.0             48.0                  36.0   \n",
       "4             3.0                66.0             41.0                  36.0   \n",
       "5             5.0                66.0              4.0                  34.0   \n",
       "6             0.0                65.0            174.0                  34.0   \n",
       "7             7.0                65.0            128.0                  34.0   \n",
       "8             6.0                65.0             81.0                  34.0   \n",
       "9             1.0                65.0             36.0                  34.0   \n",
       "10           17.0                65.0            156.0                  33.0   \n",
       "11           33.0                62.0            163.0                  33.0   \n",
       "12           19.0                61.0            186.0                  33.0   \n",
       "13           16.0                61.0             33.0                  33.0   \n",
       "14           42.0                59.0             19.0                  33.0   \n",
       "15           35.0                58.0             49.0                  33.0   \n",
       "16           37.0                58.0             24.0                  33.0   \n",
       "17           14.0                58.0             63.0                  33.0   \n",
       "18            8.0                57.0            148.0                  33.0   \n",
       "19           13.0                56.0             71.0                  33.0   \n",
       "20           22.0                55.0            123.0                  33.0   \n",
       "21           26.0                55.0             86.0                  33.0   \n",
       "22           38.0                54.0            104.0                  32.0   \n",
       "23           29.0                53.0            109.0                  32.0   \n",
       "24           20.0                52.0            155.0                  32.0   \n",
       "25           30.0                52.0            169.0                  32.0   \n",
       "26           12.0                50.0            100.0                  32.0   \n",
       "27           25.0                45.0             38.0                  32.0   \n",
       "28           15.0                43.0              5.0                  32.0   \n",
       "29           21.0                41.0            190.0                  32.0   \n",
       "30           24.0                36.0            142.0                  32.0   \n",
       "31           41.0                30.0             54.0                  32.0   \n",
       "32           43.0                28.0            191.0                  32.0   \n",
       "33           34.0                28.0            132.0                  32.0   \n",
       "34           18.0                27.0             76.0                  32.0   \n",
       "35            9.0                27.0            118.0                  32.0   \n",
       "36           23.0                23.0            181.0                  32.0   \n",
       "37           27.0                23.0            124.0                  31.0   \n",
       "38            2.0                22.0            168.0                  31.0   \n",
       "39           36.0                18.0            116.0                  31.0   \n",
       "40           44.0                18.0            149.0                  31.0   \n",
       "41           31.0                16.0             97.0                  31.0   \n",
       "42           39.0                16.0             27.0                  31.0   \n",
       "43           11.0                16.0            131.0                  31.0   \n",
       "44           40.0                15.0              9.0                  31.0   \n",
       "45            NaN                 NaN            134.0                  31.0   \n",
       "46            NaN                 NaN             16.0                  31.0   \n",
       "47            NaN                 NaN             66.0                  31.0   \n",
       "48            NaN                 NaN             52.0                  30.0   \n",
       "49            NaN                 NaN             72.0                  30.0   \n",
       "50            NaN                 NaN            173.0                  30.0   \n",
       "51            NaN                 NaN             90.0                  30.0   \n",
       "52            NaN                 NaN             96.0                  30.0   \n",
       "53            NaN                 NaN            108.0                  30.0   \n",
       "54            NaN                 NaN             45.0                  30.0   \n",
       "55            NaN                 NaN             59.0                  30.0   \n",
       "56            NaN                 NaN             94.0                  30.0   \n",
       "57            NaN                 NaN             14.0                  29.0   \n",
       "58            NaN                 NaN            197.0                  29.0   \n",
       "59            NaN                 NaN            151.0                  29.0   \n",
       "60            NaN                 NaN             85.0                  29.0   \n",
       "61            NaN                 NaN            167.0                  29.0   \n",
       "62            NaN                 NaN            165.0                  29.0   \n",
       "63            NaN                 NaN             40.0                  28.0   \n",
       "64            NaN                 NaN            103.0                  28.0   \n",
       "65            NaN                 NaN            120.0                  25.0   \n",
       "66            NaN                 NaN              NaN                   NaN   \n",
       "\n",
       "    freq45_tip_all_1980  tippingPoint45_all_1980  ...  scenario45_2070  \\\n",
       "0                   0.0                    799.0  ...            164.0   \n",
       "1                   2.0                    760.0  ...            147.0   \n",
       "2                   1.0                    601.0  ...            193.0   \n",
       "3                   4.0                    337.0  ...             34.0   \n",
       "4                   3.0                    307.0  ...            196.0   \n",
       "5                   5.0                    142.0  ...            136.0   \n",
       "6                   6.0                     69.0  ...            111.0   \n",
       "7                   7.0                      1.0  ...            140.0   \n",
       "8                   NaN                      NaN  ...             73.0   \n",
       "9                   NaN                      NaN  ...              7.0   \n",
       "10                  NaN                      NaN  ...             12.0   \n",
       "11                  NaN                      NaN  ...             77.0   \n",
       "12                  NaN                      NaN  ...             84.0   \n",
       "13                  NaN                      NaN  ...             50.0   \n",
       "14                  NaN                      NaN  ...            137.0   \n",
       "15                  NaN                      NaN  ...             82.0   \n",
       "16                  NaN                      NaN  ...            146.0   \n",
       "17                  NaN                      NaN  ...            139.0   \n",
       "18                  NaN                      NaN  ...              1.0   \n",
       "19                  NaN                      NaN  ...             92.0   \n",
       "20                  NaN                      NaN  ...            161.0   \n",
       "21                  NaN                      NaN  ...            157.0   \n",
       "22                  NaN                      NaN  ...             60.0   \n",
       "23                  NaN                      NaN  ...            178.0   \n",
       "24                  NaN                      NaN  ...            115.0   \n",
       "25                  NaN                      NaN  ...             23.0   \n",
       "26                  NaN                      NaN  ...              3.0   \n",
       "27                  NaN                      NaN  ...            145.0   \n",
       "28                  NaN                      NaN  ...            129.0   \n",
       "29                  NaN                      NaN  ...            107.0   \n",
       "30                  NaN                      NaN  ...             89.0   \n",
       "31                  NaN                      NaN  ...             80.0   \n",
       "32                  NaN                      NaN  ...             26.0   \n",
       "33                  NaN                      NaN  ...             28.0   \n",
       "34                  NaN                      NaN  ...             56.0   \n",
       "35                  NaN                      NaN  ...            121.0   \n",
       "36                  NaN                      NaN  ...            122.0   \n",
       "37                  NaN                      NaN  ...            188.0   \n",
       "38                  NaN                      NaN  ...             11.0   \n",
       "39                  NaN                      NaN  ...             99.0   \n",
       "40                  NaN                      NaN  ...            141.0   \n",
       "41                  NaN                      NaN  ...             68.0   \n",
       "42                  NaN                      NaN  ...            177.0   \n",
       "43                  NaN                      NaN  ...            187.0   \n",
       "44                  NaN                      NaN  ...            127.0   \n",
       "45                  NaN                      NaN  ...            175.0   \n",
       "46                  NaN                      NaN  ...              8.0   \n",
       "47                  NaN                      NaN  ...            198.0   \n",
       "48                  NaN                      NaN  ...            119.0   \n",
       "49                  NaN                      NaN  ...            143.0   \n",
       "50                  NaN                      NaN  ...            192.0   \n",
       "51                  NaN                      NaN  ...             21.0   \n",
       "52                  NaN                      NaN  ...             98.0   \n",
       "53                  NaN                      NaN  ...             74.0   \n",
       "54                  NaN                      NaN  ...             65.0   \n",
       "55                  NaN                      NaN  ...             51.0   \n",
       "56                  NaN                      NaN  ...             93.0   \n",
       "57                  NaN                      NaN  ...             53.0   \n",
       "58                  NaN                      NaN  ...             17.0   \n",
       "59                  NaN                      NaN  ...             20.0   \n",
       "60                  NaN                      NaN  ...            171.0   \n",
       "61                  NaN                      NaN  ...             87.0   \n",
       "62                  NaN                      NaN  ...              6.0   \n",
       "63                  NaN                      NaN  ...            130.0   \n",
       "64                  NaN                      NaN  ...            172.0   \n",
       "65                  NaN                      NaN  ...            199.0   \n",
       "66                  NaN                      NaN  ...            150.0   \n",
       "\n",
       "    freq45_2070_scenario  freq85_tip_all_1980  tippingPoint85_all_1980  \\\n",
       "0                   27.0                  0.0                    799.0   \n",
       "1                   24.0                  2.0                    760.0   \n",
       "2                   22.0                  1.0                    601.0   \n",
       "3                   22.0                  4.0                    337.0   \n",
       "4                   22.0                  3.0                    307.0   \n",
       "5                   21.0                  5.0                    142.0   \n",
       "6                   21.0                  6.0                     69.0   \n",
       "7                   21.0                  7.0                      1.0   \n",
       "8                   21.0                  NaN                      NaN   \n",
       "9                   21.0                  NaN                      NaN   \n",
       "10                  21.0                  NaN                      NaN   \n",
       "11                  21.0                  NaN                      NaN   \n",
       "12                  20.0                  NaN                      NaN   \n",
       "13                  20.0                  NaN                      NaN   \n",
       "14                  20.0                  NaN                      NaN   \n",
       "15                  20.0                  NaN                      NaN   \n",
       "16                  20.0                  NaN                      NaN   \n",
       "17                  20.0                  NaN                      NaN   \n",
       "18                  20.0                  NaN                      NaN   \n",
       "19                  19.0                  NaN                      NaN   \n",
       "20                  19.0                  NaN                      NaN   \n",
       "21                  19.0                  NaN                      NaN   \n",
       "22                  19.0                  NaN                      NaN   \n",
       "23                  19.0                  NaN                      NaN   \n",
       "24                  19.0                  NaN                      NaN   \n",
       "25                  19.0                  NaN                      NaN   \n",
       "26                  19.0                  NaN                      NaN   \n",
       "27                  19.0                  NaN                      NaN   \n",
       "28                  19.0                  NaN                      NaN   \n",
       "29                  19.0                  NaN                      NaN   \n",
       "30                  19.0                  NaN                      NaN   \n",
       "31                  18.0                  NaN                      NaN   \n",
       "32                  18.0                  NaN                      NaN   \n",
       "33                  18.0                  NaN                      NaN   \n",
       "34                  18.0                  NaN                      NaN   \n",
       "35                  18.0                  NaN                      NaN   \n",
       "36                  18.0                  NaN                      NaN   \n",
       "37                  17.0                  NaN                      NaN   \n",
       "38                  17.0                  NaN                      NaN   \n",
       "39                  17.0                  NaN                      NaN   \n",
       "40                  17.0                  NaN                      NaN   \n",
       "41                  17.0                  NaN                      NaN   \n",
       "42                  17.0                  NaN                      NaN   \n",
       "43                  17.0                  NaN                      NaN   \n",
       "44                  17.0                  NaN                      NaN   \n",
       "45                  17.0                  NaN                      NaN   \n",
       "46                  17.0                  NaN                      NaN   \n",
       "47                  17.0                  NaN                      NaN   \n",
       "48                  16.0                  NaN                      NaN   \n",
       "49                  16.0                  NaN                      NaN   \n",
       "50                  16.0                  NaN                      NaN   \n",
       "51                  16.0                  NaN                      NaN   \n",
       "52                  16.0                  NaN                      NaN   \n",
       "53                  16.0                  NaN                      NaN   \n",
       "54                  16.0                  NaN                      NaN   \n",
       "55                  16.0                  NaN                      NaN   \n",
       "56                  16.0                  NaN                      NaN   \n",
       "57                  16.0                  NaN                      NaN   \n",
       "58                  15.0                  NaN                      NaN   \n",
       "59                  15.0                  NaN                      NaN   \n",
       "60                  15.0                  NaN                      NaN   \n",
       "61                  14.0                  NaN                      NaN   \n",
       "62                  14.0                  NaN                      NaN   \n",
       "63                  13.0                  NaN                      NaN   \n",
       "64                  12.0                  NaN                      NaN   \n",
       "65                  11.0                  NaN                      NaN   \n",
       "66                  10.0                  NaN                      NaN   \n",
       "\n",
       "    freq85_tipacc_1980  tippingPoint85_acc_1980  Policy85_1980  \\\n",
       "0                  0.0                    798.0           43.0   \n",
       "1                  2.0                    760.0           21.0   \n",
       "2                  1.0                    601.0           19.0   \n",
       "3                  4.0                    337.0           18.0   \n",
       "4                  3.0                    307.0           17.0   \n",
       "5                  5.0                    142.0           16.0   \n",
       "6                  6.0                     69.0           15.0   \n",
       "7                  7.0                      1.0           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            187.0                  45.0   \n",
       "1                 67.0             60.0                  45.0   \n",
       "2                 67.0            130.0                  45.0   \n",
       "3                 67.0            111.0                  45.0   \n",
       "4                 67.0             89.0                  45.0   \n",
       "5                 67.0             99.0                  45.0   \n",
       "6                 67.0            137.0                  45.0   \n",
       "7                 67.0             65.0                  45.0   \n",
       "8                 67.0            171.0                  45.0   \n",
       "9                 67.0            129.0                  45.0   \n",
       "10                67.0            192.0                  45.0   \n",
       "11                67.0            136.0                  45.0   \n",
       "12                67.0             92.0                  45.0   \n",
       "13                67.0             84.0                  45.0   \n",
       "14                67.0             80.0                  45.0   \n",
       "15                67.0             68.0                  45.0   \n",
       "16                67.0             56.0                  45.0   \n",
       "17                67.0            178.0                  45.0   \n",
       "18                67.0             50.0                  45.0   \n",
       "19                67.0             34.0                  45.0   \n",
       "20                67.0             28.0                  45.0   \n",
       "21                67.0             26.0                  45.0   \n",
       "22                67.0             23.0                  45.0   \n",
       "23                67.0             21.0                  45.0   \n",
       "24                67.0             20.0                  45.0   \n",
       "25                67.0             17.0                  45.0   \n",
       "26                67.0             12.0                  45.0   \n",
       "27                67.0             11.0                  45.0   \n",
       "28                67.0              8.0                  45.0   \n",
       "29                67.0              7.0                  45.0   \n",
       "30                67.0              6.0                  45.0   \n",
       "31                67.0              3.0                  45.0   \n",
       "32                67.0            127.0                  45.0   \n",
       "33                67.0            139.0                  45.0   \n",
       "34                67.0            157.0                  45.0   \n",
       "35                67.0            188.0                  45.0   \n",
       "36                67.0            143.0                  45.0   \n",
       "37                67.0            150.0                  45.0   \n",
       "38                67.0            146.0                  45.0   \n",
       "39                67.0            115.0                  45.0   \n",
       "40                67.0            121.0                  45.0   \n",
       "41                67.0            193.0                  45.0   \n",
       "42                67.0            107.0                  45.0   \n",
       "43                67.0             77.0                  45.0   \n",
       "44                67.0            147.0                  45.0   \n",
       "45                 NaN             87.0                  45.0   \n",
       "46                 NaN            177.0                  45.0   \n",
       "47                 NaN            175.0                  45.0   \n",
       "48                 NaN            141.0                  45.0   \n",
       "49                 NaN            196.0                  45.0   \n",
       "50                 NaN            172.0                  45.0   \n",
       "51                 NaN            145.0                  45.0   \n",
       "52                 NaN            164.0                  45.0   \n",
       "53                 NaN            198.0                  45.0   \n",
       "54                 NaN            140.0                  45.0   \n",
       "55                 NaN            122.0                  45.0   \n",
       "56                 NaN            119.0                  45.0   \n",
       "57                 NaN             98.0                  45.0   \n",
       "58                 NaN             82.0                  45.0   \n",
       "59                 NaN             93.0                  45.0   \n",
       "60                 NaN             74.0                  45.0   \n",
       "61                 NaN            161.0                  45.0   \n",
       "62                 NaN             53.0                  45.0   \n",
       "63                 NaN             73.0                  45.0   \n",
       "64                 NaN             51.0                  45.0   \n",
       "65                 NaN            199.0                  45.0   \n",
       "66                 NaN              1.0                  45.0   \n",
       "\n",
       "    freq85_tip_all_2020  tippingPoint85_all_2020  freq85_tipacc_2020  \\\n",
       "0                   5.0                    580.0                 5.0   \n",
       "1                   4.0                    471.0                 4.0   \n",
       "2                   6.0                    463.0                 3.0   \n",
       "3                   3.0                    327.0                 1.0   \n",
       "4                   1.0                    309.0                 2.0   \n",
       "5                   2.0                    293.0                 0.0   \n",
       "6                   7.0                    288.0                 NaN   \n",
       "7                   8.0                    155.0                 NaN   \n",
       "8                   0.0                     94.0                 NaN   \n",
       "9                   9.0                     36.0                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint85_acc_2020  Policy85_2020  freq85_2020_policy  \\\n",
       "0                     580.0           32.0                67.0   \n",
       "1                     471.0            3.0                66.0   \n",
       "2                     327.0            4.0                66.0   \n",
       "3                     309.0            6.0                65.0   \n",
       "4                     293.0           28.0                65.0   \n",
       "5                      93.0           10.0                65.0   \n",
       "6                       NaN            5.0                63.0   \n",
       "7                       NaN           17.0                63.0   \n",
       "8                       NaN            7.0                62.0   \n",
       "9                       NaN            0.0                61.0   \n",
       "10                      NaN           33.0                61.0   \n",
       "11                      NaN            1.0                61.0   \n",
       "12                      NaN           42.0                60.0   \n",
       "13                      NaN           16.0                59.0   \n",
       "14                      NaN           19.0                59.0   \n",
       "15                      NaN           37.0                57.0   \n",
       "16                      NaN           20.0                56.0   \n",
       "17                      NaN           29.0                56.0   \n",
       "18                      NaN           13.0                55.0   \n",
       "19                      NaN           14.0                55.0   \n",
       "20                      NaN           38.0                54.0   \n",
       "21                      NaN           35.0                54.0   \n",
       "22                      NaN           22.0                53.0   \n",
       "23                      NaN           26.0                53.0   \n",
       "24                      NaN           30.0                52.0   \n",
       "25                      NaN            8.0                50.0   \n",
       "26                      NaN           25.0                49.0   \n",
       "27                      NaN           12.0                45.0   \n",
       "28                      NaN           15.0                44.0   \n",
       "29                      NaN           21.0                41.0   \n",
       "30                      NaN           41.0                40.0   \n",
       "31                      NaN           24.0                33.0   \n",
       "32                      NaN            9.0                32.0   \n",
       "33                      NaN           18.0                31.0   \n",
       "34                      NaN           43.0                28.0   \n",
       "35                      NaN            2.0                26.0   \n",
       "36                      NaN           34.0                25.0   \n",
       "37                      NaN           27.0                24.0   \n",
       "38                      NaN           23.0                23.0   \n",
       "39                      NaN           44.0                21.0   \n",
       "40                      NaN           11.0                18.0   \n",
       "41                      NaN           36.0                16.0   \n",
       "42                      NaN           31.0                15.0   \n",
       "43                      NaN           40.0                13.0   \n",
       "44                      NaN           39.0                11.0   \n",
       "45                      NaN            NaN                 NaN   \n",
       "46                      NaN            NaN                 NaN   \n",
       "47                      NaN            NaN                 NaN   \n",
       "48                      NaN            NaN                 NaN   \n",
       "49                      NaN            NaN                 NaN   \n",
       "50                      NaN            NaN                 NaN   \n",
       "51                      NaN            NaN                 NaN   \n",
       "52                      NaN            NaN                 NaN   \n",
       "53                      NaN            NaN                 NaN   \n",
       "54                      NaN            NaN                 NaN   \n",
       "55                      NaN            NaN                 NaN   \n",
       "56                      NaN            NaN                 NaN   \n",
       "57                      NaN            NaN                 NaN   \n",
       "58                      NaN            NaN                 NaN   \n",
       "59                      NaN            NaN                 NaN   \n",
       "60                      NaN            NaN                 NaN   \n",
       "61                      NaN            NaN                 NaN   \n",
       "62                      NaN            NaN                 NaN   \n",
       "63                      NaN            NaN                 NaN   \n",
       "64                      NaN            NaN                 NaN   \n",
       "65                      NaN            NaN                 NaN   \n",
       "66                      NaN            NaN                 NaN   \n",
       "\n",
       "    scenario85_2020  freq85_2020_scenario  freq85_tip_all_2050  \\\n",
       "0             164.0                  37.0                  6.0   \n",
       "1              84.0                  36.0                  7.0   \n",
       "2             161.0                  36.0                  8.0   \n",
       "3             136.0                  36.0                  5.0   \n",
       "4              50.0                  35.0                  4.0   \n",
       "5             188.0                  35.0                  9.0   \n",
       "6             187.0                  35.0                  1.0   \n",
       "7             137.0                  34.0                  3.0   \n",
       "8             147.0                  34.0                  2.0   \n",
       "9              73.0                  34.0                  0.0   \n",
       "10            146.0                  34.0                 10.0   \n",
       "11             20.0                  33.0                  NaN   \n",
       "12             68.0                  33.0                  NaN   \n",
       "13             12.0                  33.0                  NaN   \n",
       "14            145.0                  33.0                  NaN   \n",
       "15            157.0                  33.0                  NaN   \n",
       "16            115.0                  33.0                  NaN   \n",
       "17              1.0                  33.0                  NaN   \n",
       "18            139.0                  32.0                  NaN   \n",
       "19              3.0                  32.0                  NaN   \n",
       "20            198.0                  32.0                  NaN   \n",
       "21            141.0                  32.0                  NaN   \n",
       "22             23.0                  32.0                  NaN   \n",
       "23            178.0                  32.0                  NaN   \n",
       "24             92.0                  32.0                  NaN   \n",
       "25             99.0                  32.0                  NaN   \n",
       "26            107.0                  31.0                  NaN   \n",
       "27              8.0                  31.0                  NaN   \n",
       "28             11.0                  31.0                  NaN   \n",
       "29             17.0                  31.0                  NaN   \n",
       "30             26.0                  31.0                  NaN   \n",
       "31            192.0                  31.0                  NaN   \n",
       "32              7.0                  31.0                  NaN   \n",
       "33             77.0                  31.0                  NaN   \n",
       "34            172.0                  31.0                  NaN   \n",
       "35             53.0                  31.0                  NaN   \n",
       "36            177.0                  31.0                  NaN   \n",
       "37             98.0                  31.0                  NaN   \n",
       "38            140.0                  31.0                  NaN   \n",
       "39            175.0                  31.0                  NaN   \n",
       "40            196.0                  31.0                  NaN   \n",
       "41             89.0                  30.0                  NaN   \n",
       "42             93.0                  30.0                  NaN   \n",
       "43             28.0                  30.0                  NaN   \n",
       "44             56.0                  30.0                  NaN   \n",
       "45             65.0                  29.0                  NaN   \n",
       "46             87.0                  29.0                  NaN   \n",
       "47              6.0                  29.0                  NaN   \n",
       "48            111.0                  29.0                  NaN   \n",
       "49            193.0                  29.0                  NaN   \n",
       "50            121.0                  29.0                  NaN   \n",
       "51            143.0                  29.0                  NaN   \n",
       "52            122.0                  29.0                  NaN   \n",
       "53             51.0                  28.0                  NaN   \n",
       "54            150.0                  28.0                  NaN   \n",
       "55             60.0                  28.0                  NaN   \n",
       "56             34.0                  28.0                  NaN   \n",
       "57             74.0                  28.0                  NaN   \n",
       "58            127.0                  28.0                  NaN   \n",
       "59             80.0                  28.0                  NaN   \n",
       "60            129.0                  28.0                  NaN   \n",
       "61            171.0                  28.0                  NaN   \n",
       "62             82.0                  27.0                  NaN   \n",
       "63            130.0                  27.0                  NaN   \n",
       "64             21.0                  26.0                  NaN   \n",
       "65            119.0                  26.0                  NaN   \n",
       "66            199.0                  25.0                  NaN   \n",
       "\n",
       "    tippingPoint85_all_2050  freq85_tipacc_2050  tippingPoint85_acc_2050  \\\n",
       "0                     642.0                 5.0                    451.0   \n",
       "1                     579.0                 4.0                    316.0   \n",
       "2                     505.0                 1.0                    111.0   \n",
       "3                     451.0                 3.0                    105.0   \n",
       "4                     316.0                 2.0                     82.0   \n",
       "5                     180.0                 0.0                     35.0   \n",
       "6                     111.0                 NaN                      NaN   \n",
       "7                     105.0                 NaN                      NaN   \n",
       "8                      82.0                 NaN                      NaN   \n",
       "9                      36.0                 NaN                      NaN   \n",
       "10                      9.0                 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            32.0                57.0            164.0                  26.0   \n",
       "1             4.0                52.0             77.0                  22.0   \n",
       "2             3.0                50.0             68.0                  21.0   \n",
       "3             6.0                49.0            137.0                  21.0   \n",
       "4            28.0                47.0             50.0                  21.0   \n",
       "5            10.0                46.0            157.0                  20.0   \n",
       "6            17.0                42.0            177.0                  20.0   \n",
       "7             0.0                39.0            129.0                  20.0   \n",
       "8             7.0                35.0             82.0                  20.0   \n",
       "9            33.0                35.0             56.0                  19.0   \n",
       "10            1.0                34.0             84.0                  19.0   \n",
       "11           19.0                34.0            196.0                  19.0   \n",
       "12           16.0                33.0             21.0                  19.0   \n",
       "13            5.0                32.0             93.0                  19.0   \n",
       "14           35.0                32.0            111.0                  19.0   \n",
       "15           42.0                30.0            140.0                  19.0   \n",
       "16           37.0                30.0            136.0                  18.0   \n",
       "17           14.0                29.0            161.0                  18.0   \n",
       "18           20.0                28.0              3.0                  18.0   \n",
       "19            8.0                28.0             12.0                  18.0   \n",
       "20           13.0                28.0            119.0                  18.0   \n",
       "21           22.0                26.0              1.0                  18.0   \n",
       "22           38.0                26.0            121.0                  18.0   \n",
       "23           30.0                25.0            193.0                  17.0   \n",
       "24           29.0                24.0             51.0                  17.0   \n",
       "25           25.0                22.0             23.0                  17.0   \n",
       "26           26.0                22.0            122.0                  17.0   \n",
       "27           12.0                21.0            147.0                  17.0   \n",
       "28           21.0                19.0            146.0                  17.0   \n",
       "29           15.0                17.0            175.0                  17.0   \n",
       "30           41.0                14.0             92.0                  16.0   \n",
       "31           24.0                13.0            187.0                  16.0   \n",
       "32            9.0                11.0            198.0                  16.0   \n",
       "33           34.0                 9.0            115.0                  16.0   \n",
       "34           18.0                 8.0              8.0                  16.0   \n",
       "35           36.0                 7.0             34.0                  16.0   \n",
       "36           43.0                 7.0            171.0                  16.0   \n",
       "37           27.0                 6.0            199.0                  16.0   \n",
       "38           23.0                 6.0            143.0                  16.0   \n",
       "39           44.0                 6.0             89.0                  16.0   \n",
       "40            2.0                 6.0            107.0                  16.0   \n",
       "41           11.0                 5.0            145.0                  16.0   \n",
       "42           31.0                 4.0            141.0                  16.0   \n",
       "43           40.0                 4.0             28.0                  15.0   \n",
       "44           39.0                 2.0             99.0                  15.0   \n",
       "45            NaN                 NaN             73.0                  15.0   \n",
       "46            NaN                 NaN             65.0                  15.0   \n",
       "47            NaN                 NaN             80.0                  15.0   \n",
       "48            NaN                 NaN            127.0                  15.0   \n",
       "49            NaN                 NaN              7.0                  15.0   \n",
       "50            NaN                 NaN             53.0                  15.0   \n",
       "51            NaN                 NaN             60.0                  15.0   \n",
       "52            NaN                 NaN            139.0                  14.0   \n",
       "53            NaN                 NaN            192.0                  14.0   \n",
       "54            NaN                 NaN             26.0                  14.0   \n",
       "55            NaN                 NaN            178.0                  14.0   \n",
       "56            NaN                 NaN             17.0                  13.0   \n",
       "57            NaN                 NaN              6.0                  13.0   \n",
       "58            NaN                 NaN            188.0                  13.0   \n",
       "59            NaN                 NaN             20.0                  13.0   \n",
       "60            NaN                 NaN            150.0                  13.0   \n",
       "61            NaN                 NaN             98.0                  12.0   \n",
       "62            NaN                 NaN             11.0                  12.0   \n",
       "63            NaN                 NaN            172.0                  12.0   \n",
       "64            NaN                 NaN             74.0                  11.0   \n",
       "65            NaN                 NaN            130.0                  11.0   \n",
       "66            NaN                 NaN             87.0                   9.0   \n",
       "\n",
       "    freq85_tip_all_2070  tippingPoint85_all_2070  freq85_tipacc_2070  \\\n",
       "0                   9.0                   1338.0                 5.0   \n",
       "1                   8.0                   1211.0                 NaN   \n",
       "2                   7.0                    412.0                 NaN   \n",
       "3                   6.0                     46.0                 NaN   \n",
       "4                   5.0                      8.0                 NaN   \n",
       "5                   0.0                      1.0                 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                       8.0           32.0                 3.0   \n",
       "1                       NaN            6.0                 2.0   \n",
       "2                       NaN            4.0                 2.0   \n",
       "3                       NaN            3.0                 1.0   \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",
       "    scenario85_2070  freq85_2070_scenario  \n",
       "0             158.0                   1.0  \n",
       "1              35.0                   1.0  \n",
       "2             114.0                   1.0  \n",
       "3              69.0                   1.0  \n",
       "4             185.0                   1.0  \n",
       "5              10.0                   1.0  \n",
       "6              64.0                   1.0  \n",
       "7             162.0                   1.0  \n",
       "8               NaN                   NaN  \n",
       "9               NaN                   NaN  \n",
       "10              NaN                   NaN  \n",
       "11              NaN                   NaN  \n",
       "12              NaN                   NaN  \n",
       "13              NaN                   NaN  \n",
       "14              NaN                   NaN  \n",
       "15              NaN                   NaN  \n",
       "16              NaN                   NaN  \n",
       "17              NaN                   NaN  \n",
       "18              NaN                   NaN  \n",
       "19              NaN                   NaN  \n",
       "20              NaN                   NaN  \n",
       "21              NaN                   NaN  \n",
       "22              NaN                   NaN  \n",
       "23              NaN                   NaN  \n",
       "24              NaN                   NaN  \n",
       "25              NaN                   NaN  \n",
       "26              NaN                   NaN  \n",
       "27              NaN                   NaN  \n",
       "28              NaN                   NaN  \n",
       "29              NaN                   NaN  \n",
       "30              NaN                   NaN  \n",
       "31              NaN                   NaN  \n",
       "32              NaN                   NaN  \n",
       "33              NaN                   NaN  \n",
       "34              NaN                   NaN  \n",
       "35              NaN                   NaN  \n",
       "36              NaN                   NaN  \n",
       "37              NaN                   NaN  \n",
       "38              NaN                   NaN  \n",
       "39              NaN                   NaN  \n",
       "40              NaN                   NaN  \n",
       "41              NaN                   NaN  \n",
       "42              NaN                   NaN  \n",
       "43              NaN                   NaN  \n",
       "44              NaN                   NaN  \n",
       "45              NaN                   NaN  \n",
       "46              NaN                   NaN  \n",
       "47              NaN                   NaN  \n",
       "48              NaN                   NaN  \n",
       "49              NaN                   NaN  \n",
       "50              NaN                   NaN  \n",
       "51              NaN                   NaN  \n",
       "52              NaN                   NaN  \n",
       "53              NaN                   NaN  \n",
       "54              NaN                   NaN  \n",
       "55              NaN                   NaN  \n",
       "56              NaN                   NaN  \n",
       "57              NaN                   NaN  \n",
       "58              NaN                   NaN  \n",
       "59              NaN                   NaN  \n",
       "60              NaN                   NaN  \n",
       "61              NaN                   NaN  \n",
       "62              NaN                   NaN  \n",
       "63              NaN                   NaN  \n",
       "64              NaN                   NaN  \n",
       "65              NaN                   NaN  \n",
       "66              NaN                   NaN  \n",
       "\n",
       "[67 rows x 96 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final_tipping_point_1980_2070.head(67)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "adpation_Option1 = np.array(df_policies['x1SnowThershold'])\n",
    "adpation_Option2 = np.array(df_policies['xGoodDays'])\n",
    "all_Policies = []\n",
    "\n",
    "for i in range(len(adpation_Option1)):\n",
    "    all_Policies.append('P' + '_' + str(int(adpation_Option1[i])) + '_' + str(int(adpation_Option2[i])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#all_Policies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final_tipping_point_1980_2070['Policy26_2020'] = df_final_tipping_point_1980_2070['Policy26_2020'].apply(lambda x: 'Plc_' + str(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final_tipping_point_1980_2070['Policy26_2050'] = df_final_tipping_point_1980_2070['Policy26_2050'].apply(lambda x: 'Plc_' + str(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final_tipping_point_1980_2070['Policy26_2070'] = df_final_tipping_point_1980_2070['Policy26_2070'].apply(lambda x: 'Plc_' + str(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_26 = df_final_tipping_point_1980_2070.loc[0:44, '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[0:3, 'Policy85_2070'].to_list()\n",
    "y2_85 = df_final_tipping_point_1980_2070.loc[0:3, 'freq85_2070_policy'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[32.0, 6.0, 4.0, 3.0]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[3.0, 2.0, 2.0, 1.0]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_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([ 2.75,  3.75, 32.75, 27.75,  5.75, 16.75,  9.75, 12.75, 31.75,\n",
       "       21.75, 13.75, 18.75, 15.75,  7.75, 24.75,  6.75,  4.75,  0.75,\n",
       "       19.75, -0.25, 25.75, 36.75, 28.75, 29.75, 41.75, 34.75, 37.75,\n",
       "       11.75, 20.75, 14.75, 40.75,  8.75, 23.75, 17.75, 42.75,  1.75,\n",
       "       33.75, 26.75, 22.75, 43.75, 10.75, 30.75, 35.75, 39.75, 38.75])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_26_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "title_Figs = 'case2_Atzmaennig (840-1200m)'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig35, ax1 = plt.subplots(figsize=(20,7.5))\n",
    "\n",
    "width = 0.25\n",
    "\n",
    "ax1.bar(x_26_arr, y_26, width = width, color = 'Blue', label = \"2020\")\n",
    "ax1.bar(x1_26_arr, y1_26, width = width, color = 'Green', label = \"2050\")\n",
    "ax1.bar(x2_26_arr, y2_26, width = width, color = 'Red', label = \"2070\")\n",
    "\n",
    "\n",
    "#X-Axis\n",
    "xticks = np.arange(0, 45, 1)\n",
    "ax1.set_xticks(xticks)\n",
    "#ax1.set_xticks(xticks, all_Policies)\n",
    "\n",
    "xlabels = all_Policies\n",
    "#ax1.set_xticklabels(xlabels)\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10, ha=\"right\", rotation_mode=\"anchor\")\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10)\n",
    "plt.xticks(xticks, xlabels, fontsize=16)\n",
    "plt.setp(ax1.get_xticklabels(), rotation=90, size = 10)\n",
    "\n",
    "\n",
    "\n",
    "#Y-Axis\n",
    "yticks = np.arange(0, 70, 3)\n",
    "#ax1.set_yticks(yticks)\n",
    "#plt.setp(ax1.get_yticklabels(), rotation=0, size = 15, ha=\"right\", rotation_mode=\"anchor\")\n",
    "\n",
    "ax1.set_yticks(yticks)\n",
    "ax1.set_title(title_Figs + ', RCP2.6', size = 30)\n",
    "ax1.set_xlabel('45 Adaptation Options', size = 20)\n",
    "ax1.set_ylabel('Frequency', size = 20)\n",
    "\n",
    "ax1.axhline(y=67, color='green', alpha=0.8)\n",
    "ax1.axhline(y=50, 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",
    "\n",
    "#ax1.set_ylim(bottom=0, top =70)\n",
    "#ax1.y_axis = np.arange(0, 70)\n",
    "\n",
    "fig35.savefig(os.path.join(rootOut, 'tipping_point_All_new_3_RCP26.tiff'), format='tiff', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_45_arr = np.array(x_45) - 0.25\n",
    "x1_45_arr = np.array(x1_45)\n",
    "x2_45_arr = np.array(x2_45) + 0.25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[56.0,\n",
       " 52.0,\n",
       " 52.0,\n",
       " 51.0,\n",
       " 50.0,\n",
       " 49.0,\n",
       " 45.0,\n",
       " 41.0,\n",
       " 40.0,\n",
       " 40.0,\n",
       " 37.0,\n",
       " 37.0,\n",
       " 36.0,\n",
       " 35.0,\n",
       " 34.0,\n",
       " 32.0,\n",
       " 32.0,\n",
       " 32.0,\n",
       " 32.0,\n",
       " 31.0,\n",
       " 29.0,\n",
       " 29.0,\n",
       " 28.0,\n",
       " 27.0,\n",
       " 27.0,\n",
       " 27.0,\n",
       " 26.0,\n",
       " 23.0,\n",
       " 21.0,\n",
       " 20.0,\n",
       " 18.0,\n",
       " 15.0,\n",
       " 12.0,\n",
       " 12.0,\n",
       " 11.0,\n",
       " 11.0,\n",
       " 9.0,\n",
       " 9.0,\n",
       " 7.0,\n",
       " 6.0,\n",
       " 6.0,\n",
       " 6.0,\n",
       " 5.0,\n",
       " 4.0,\n",
       " 4.0]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_45"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig36, ax1 = plt.subplots(figsize=(20,7.5))\n",
    "\n",
    "width = 0.25\n",
    "\n",
    "ax1.bar(x_45_arr, y_45, width = width, color = 'Blue', label = \"2020\")\n",
    "ax1.bar(x1_45_arr, y1_45, width = width, color = 'Green', label = \"2050\")\n",
    "ax1.bar(x2_45_arr, y2_45, width = width, color = 'Red', label = \"2070\")\n",
    "\n",
    "\n",
    "#X-Axis\n",
    "xticks = np.arange(0, 45, 1)\n",
    "ax1.set_xticks(xticks)\n",
    "#ax1.set_xticks(xticks, all_Policies)\n",
    "\n",
    "xlabels = all_Policies\n",
    "#ax1.set_xticklabels(xlabels)\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10, ha=\"right\", rotation_mode=\"anchor\")\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10)\n",
    "plt.xticks(xticks, xlabels, fontsize=16)\n",
    "plt.setp(ax1.get_xticklabels(), rotation=90, size = 10)\n",
    "\n",
    "\n",
    "\n",
    "#Y-Axis\n",
    "yticks = np.arange(0, 70, 3)\n",
    "#ax1.set_yticks(yticks)\n",
    "#plt.setp(ax1.get_yticklabels(), rotation=0, size = 15, ha=\"right\", rotation_mode=\"anchor\")\n",
    "\n",
    "ax1.set_yticks(yticks)\n",
    "ax1.set_title(title_Figs + ', RCP4.5', size = 30)\n",
    "ax1.set_xlabel('45 Adaptation Options', size = 20)\n",
    "ax1.set_ylabel('Frequency', size = 20)\n",
    "\n",
    "ax1.axhline(y=67, color='green', alpha=0.8)\n",
    "ax1.axhline(y=50, 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": 29,
   "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": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[3.0, 2.0, 2.0, 1.0]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([32.25,  6.25,  4.25,  3.25])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2_85_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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=50, color='green', alpha=0.8)\n",
    "ax1.axhline(y=33, color='orange', alpha=0.8)\n",
    "ax1.axhline(y=16, color='red', alpha=0.8)\n",
    "#ax1.set_ylim(bottom=0, top =70)\n",
    "#ax1.y_axis = np.arange(0, 70)\n",
    "fig37.savefig(os.path.join(rootOut, 'tipping_point_All_new_3_RCP85.tiff'), format='tiff', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
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