tipping_points_case6_Davos Jakobhorn_b2149.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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       "      <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>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>6.0</td>\n",
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       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
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       "    <tr>\n",
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       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
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       "    <tr>\n",
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       "      <td>0.0</td>\n",
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       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.0</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>191.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3012</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>192.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3013</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>194.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3014</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>198.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3015</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3016 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      tippingPoint26_1980  tippingPoint26_1_1980  scenario26_1980  \\\n",
       "0                     0.0                    0.0              0.0   \n",
       "1                     0.0                    0.0              0.0   \n",
       "2                     0.0                    0.0              0.0   \n",
       "3                     0.0                    0.0              0.0   \n",
       "4                     0.0                    0.0              0.0   \n",
       "...                   ...                    ...              ...   \n",
       "3011                  0.0                    0.0             44.0   \n",
       "3012                  0.0                    0.0             44.0   \n",
       "3013                  0.0                    0.0             44.0   \n",
       "3014                  0.0                    0.0             44.0   \n",
       "3015                  0.0                    NaN              NaN   \n",
       "\n",
       "      policy26_1980  tippingPoint45_1980  tippingPoint45_1_1980  \\\n",
       "0               2.0                  0.0                    0.0   \n",
       "1               3.0                  0.0                    0.0   \n",
       "2               6.0                  0.0                    0.0   \n",
       "3               8.0                  0.0                    0.0   \n",
       "4              10.0                  0.0                    0.0   \n",
       "...             ...                  ...                    ...   \n",
       "3011          193.0                  NaN                    NaN   \n",
       "3012          196.0                  NaN                    NaN   \n",
       "3013          197.0                  NaN                    NaN   \n",
       "3014          199.0                  NaN                    NaN   \n",
       "3015            NaN                  NaN                    NaN   \n",
       "\n",
       "      scenario45_1980  policy45_1980  tippingPoint85_1980  \\\n",
       "0                 0.0            1.0                  0.0   \n",
       "1                 0.0            4.0                  0.0   \n",
       "2                 0.0            7.0                  0.0   \n",
       "3                 0.0            9.0                  0.0   \n",
       "4                 0.0           12.0                  0.0   \n",
       "...               ...            ...                  ...   \n",
       "3011              NaN            NaN                  0.0   \n",
       "3012              NaN            NaN                  0.0   \n",
       "3013              NaN            NaN                  0.0   \n",
       "3014              NaN            NaN                  0.0   \n",
       "3015              NaN            NaN                  0.0   \n",
       "\n",
       "      tippingPoint85_1_1980  scenario85_1980  policy85_1980  \n",
       "0                       0.0              0.0            0.0  \n",
       "1                       0.0              0.0            5.0  \n",
       "2                       0.0              0.0           13.0  \n",
       "3                       0.0              0.0           17.0  \n",
       "4                       0.0              0.0           18.0  \n",
       "...                     ...              ...            ...  \n",
       "3011                    0.0             44.0          191.0  \n",
       "3012                    0.0             44.0          192.0  \n",
       "3013                    0.0             44.0          194.0  \n",
       "3014                    0.0             44.0          198.0  \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>2518.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2517.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1911.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1910.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1772.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1771.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1617.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1616.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2304.0</td>\n",
       "      <td>...</td>\n",
       "      <td>52.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2304.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2303.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1846.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1845.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1390.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1389.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>440.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>438.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>408.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>408.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>503.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>503.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>527.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>527.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>397.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>397.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>380.0</td>\n",
       "      <td>...</td>\n",
       "      <td>92.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>380.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>380.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>543.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>424.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>424.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>438.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>373.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>375.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>375.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>...</td>\n",
       "      <td>78.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>321.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>315.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>376.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>293.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>251.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>315.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>369.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>...</td>\n",
       "      <td>151.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>121.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>29.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>62.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>19.0</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>67.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>114.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>99.0</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>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>32.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>67.0</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>30.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>188.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</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>3.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>175.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>66.0</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>10.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>118.0</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>64.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>36.0</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>66.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>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>8.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>31.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>67.0</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>3.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>15.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>66.0</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>38.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>135.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</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>7.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>67.0</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>27.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>57.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>67.0</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>39.0</td>\n",
       "      <td>66.0</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>34.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>187.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>66.0</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>27.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>77.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</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>39.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>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>65.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>89.0</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>63.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>160.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>146.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</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>24.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>22.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>59.0</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>15.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>67.0</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>14.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>158.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>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>35.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>56.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>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>21.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>136.0</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>52.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>91.0</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>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>31.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>65.0</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>31.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>37.0</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>51.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>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>31.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>179.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>66.0</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>41.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>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>2.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>119.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</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>5.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>86.0</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>9.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>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>16.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>42.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>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>5.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</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>40.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>67.0</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>18.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>57.0</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>41.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>45.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>187.0</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>46.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>9.0</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>7.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>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>33.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>159.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>56.0</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>43.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>164.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>66.0</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>29.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>156.0</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>39.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>49.0</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>39.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>139.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>170.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>67.0</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>29.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>86.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>196.0</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>35.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>162.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>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>15.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>187.0</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>5.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>168.0</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>30.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>66.0</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>15.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>107.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>66.0</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>40.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>44.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</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>4.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>67.0</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>40.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>141.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>91.0</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>22.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67.0</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>36.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>118.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>195.0</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>10.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>183.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>199.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>72.0</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>159.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>146.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>133.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>152.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>115.0</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>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>121.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>118.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>156.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>197.0</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>6.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</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>188.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>180.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>161.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172.0</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>3.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>53.0</td>\n",
       "      <td>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>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>142.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>128.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>37.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>180.0</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>197.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>59.0</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>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>62.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>111.0</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>161.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</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>114.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>163.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>103.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>169.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>183.0</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>167.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>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>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>44.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>195.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</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>143.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>60.0</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>78.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>179.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>45.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>155.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>199.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>199.0</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>181.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>190.0</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>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>127.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>182.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>169.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>181.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>129.0</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>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>15.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>173.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>173.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>41.0</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>57.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.0</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>48.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>196.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64.0</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>8.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>109.0</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>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>188.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.0</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>22.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>49.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>161.0</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>111.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>88.0</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>115.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>162.0</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>138.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>111.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>123.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</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>51.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>25.0</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>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>158.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>158.0</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>112.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>110.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>169.0</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>40.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>93.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>25.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>164.0</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>69.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>173.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</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>58.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>195.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>16.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>188.0</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>185.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>111.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>143.0</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>68.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>39.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0</td>\n",
       "      <td>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>135.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>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>75.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.0</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>180.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>108.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>170.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>139.0</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>198.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</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>2.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>163.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</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>42.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>197.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</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>11.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>24.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>170.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</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>90.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</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>64.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>142.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>109.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.0</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>17.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</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>40.0</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>3.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 96 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    freq26_tip_all_1980  tippingPoint26_all_1980  freq26_tipacc_1980  \\\n",
       "0                   0.0                   2518.0                 0.0   \n",
       "1                   1.0                    408.0                 1.0   \n",
       "2                   2.0                     59.0                 2.0   \n",
       "3                   3.0                     24.0                 3.0   \n",
       "4                   4.0                      7.0                 4.0   \n",
       "5                   NaN                      NaN                 NaN   \n",
       "6                   NaN                      NaN                 NaN   \n",
       "7                   NaN                      NaN                 NaN   \n",
       "8                   NaN                      NaN                 NaN   \n",
       "9                   NaN                      NaN                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint26_acc_1980  Policy26_1980  freq26_1980_policy  \\\n",
       "0                    2517.0           43.0                67.0   \n",
       "1                     408.0           21.0                67.0   \n",
       "2                      59.0           19.0                67.0   \n",
       "3                      24.0           18.0                67.0   \n",
       "4                       7.0           17.0                67.0   \n",
       "5                       NaN           16.0                67.0   \n",
       "6                       NaN           15.0                67.0   \n",
       "7                       NaN           14.0                67.0   \n",
       "8                       NaN           13.0                67.0   \n",
       "9                       NaN           12.0                67.0   \n",
       "10                      NaN           11.0                67.0   \n",
       "11                      NaN           10.0                67.0   \n",
       "12                      NaN            9.0                67.0   \n",
       "13                      NaN            8.0                67.0   \n",
       "14                      NaN            7.0                67.0   \n",
       "15                      NaN            6.0                67.0   \n",
       "16                      NaN            5.0                67.0   \n",
       "17                      NaN            4.0                67.0   \n",
       "18                      NaN            3.0                67.0   \n",
       "19                      NaN            2.0                67.0   \n",
       "20                      NaN            1.0                67.0   \n",
       "21                      NaN           20.0                67.0   \n",
       "22                      NaN           22.0                67.0   \n",
       "23                      NaN           41.0                67.0   \n",
       "24                      NaN           23.0                67.0   \n",
       "25                      NaN           39.0                67.0   \n",
       "26                      NaN           37.0                67.0   \n",
       "27                      NaN           35.0                67.0   \n",
       "28                      NaN           33.0                67.0   \n",
       "29                      NaN           44.0                67.0   \n",
       "30                      NaN           42.0                67.0   \n",
       "31                      NaN           40.0                67.0   \n",
       "32                      NaN           38.0                67.0   \n",
       "33                      NaN           36.0                67.0   \n",
       "34                      NaN           34.0                67.0   \n",
       "35                      NaN           32.0                67.0   \n",
       "36                      NaN           31.0                67.0   \n",
       "37                      NaN           30.0                67.0   \n",
       "38                      NaN           29.0                67.0   \n",
       "39                      NaN           28.0                67.0   \n",
       "40                      NaN           27.0                67.0   \n",
       "41                      NaN           26.0                67.0   \n",
       "42                      NaN           25.0                67.0   \n",
       "43                      NaN           24.0                67.0   \n",
       "44                      NaN            0.0                67.0   \n",
       "45                      NaN            NaN                 NaN   \n",
       "46                      NaN            NaN                 NaN   \n",
       "47                      NaN            NaN                 NaN   \n",
       "48                      NaN            NaN                 NaN   \n",
       "49                      NaN            NaN                 NaN   \n",
       "50                      NaN            NaN                 NaN   \n",
       "51                      NaN            NaN                 NaN   \n",
       "52                      NaN            NaN                 NaN   \n",
       "53                      NaN            NaN                 NaN   \n",
       "54                      NaN            NaN                 NaN   \n",
       "55                      NaN            NaN                 NaN   \n",
       "56                      NaN            NaN                 NaN   \n",
       "57                      NaN            NaN                 NaN   \n",
       "58                      NaN            NaN                 NaN   \n",
       "59                      NaN            NaN                 NaN   \n",
       "60                      NaN            NaN                 NaN   \n",
       "61                      NaN            NaN                 NaN   \n",
       "62                      NaN            NaN                 NaN   \n",
       "63                      NaN            NaN                 NaN   \n",
       "64                      NaN            NaN                 NaN   \n",
       "65                      NaN            NaN                 NaN   \n",
       "66                      NaN            NaN                 NaN   \n",
       "\n",
       "    scenario26_1980  freq26_1980_scenario  freq26_tip_all_2020  \\\n",
       "0             165.0                  45.0                  0.0   \n",
       "1             104.0                  45.0                  1.0   \n",
       "2             101.0                  45.0                  2.0   \n",
       "3              87.0                  45.0                  3.0   \n",
       "4             149.0                  45.0                  4.0   \n",
       "5              85.0                  45.0                  5.0   \n",
       "6             181.0                  45.0                  6.0   \n",
       "7             161.0                  45.0                  7.0   \n",
       "8             184.0                  45.0                  NaN   \n",
       "9             176.0                  45.0                  NaN   \n",
       "10            168.0                  45.0                  NaN   \n",
       "11            152.0                  45.0                  NaN   \n",
       "12            144.0                  45.0                  NaN   \n",
       "13            136.0                  45.0                  NaN   \n",
       "14            120.0                  45.0                  NaN   \n",
       "15            116.0                  45.0                  NaN   \n",
       "16             96.0                  45.0                  NaN   \n",
       "17            125.0                  45.0                  NaN   \n",
       "18             94.0                  45.0                  NaN   \n",
       "19             76.0                  45.0                  NaN   \n",
       "20             68.0                  45.0                  NaN   \n",
       "21             64.0                  45.0                  NaN   \n",
       "22             58.0                  45.0                  NaN   \n",
       "23             40.0                  45.0                  NaN   \n",
       "24             28.0                  45.0                  NaN   \n",
       "25             23.0                  45.0                  NaN   \n",
       "26             14.0                  45.0                  NaN   \n",
       "27             11.0                  45.0                  NaN   \n",
       "28             10.0                  45.0                  NaN   \n",
       "29              8.0                  45.0                  NaN   \n",
       "30              6.0                  45.0                  NaN   \n",
       "31              3.0                  45.0                  NaN   \n",
       "32            123.0                  45.0                  NaN   \n",
       "33            178.0                  45.0                  NaN   \n",
       "34            143.0                  45.0                  NaN   \n",
       "35            156.0                  45.0                  NaN   \n",
       "36            154.0                  45.0                  NaN   \n",
       "37            134.0                  45.0                  NaN   \n",
       "38            117.0                  45.0                  NaN   \n",
       "39            193.0                  45.0                  NaN   \n",
       "40             95.0                  45.0                  NaN   \n",
       "41             89.0                  45.0                  NaN   \n",
       "42            167.0                  45.0                  NaN   \n",
       "43             71.0                  45.0                  NaN   \n",
       "44            177.0                  45.0                  NaN   \n",
       "45            183.0                  45.0                  NaN   \n",
       "46            133.0                  45.0                  NaN   \n",
       "47            196.0                  45.0                  NaN   \n",
       "48            180.0                  45.0                  NaN   \n",
       "49            172.0                  45.0                  NaN   \n",
       "50            110.0                  45.0                  NaN   \n",
       "51            169.0                  45.0                  NaN   \n",
       "52            106.0                  45.0                  NaN   \n",
       "53             74.0                  45.0                  NaN   \n",
       "54             70.0                  45.0                  NaN   \n",
       "55            150.0                  45.0                  NaN   \n",
       "56             66.0                  45.0                  NaN   \n",
       "57             51.0                  45.0                  NaN   \n",
       "58            111.0                  45.0                  NaN   \n",
       "59             49.0                  45.0                  NaN   \n",
       "60            173.0                  45.0                  NaN   \n",
       "61             37.0                  45.0                  NaN   \n",
       "62             83.0                  45.0                  NaN   \n",
       "63             33.0                  45.0                  NaN   \n",
       "64            197.0                  45.0                  NaN   \n",
       "65            199.0                  45.0                  NaN   \n",
       "66              2.0                  45.0                  NaN   \n",
       "\n",
       "    tippingPoint26_all_2020  freq26_tipacc_2020  tippingPoint26_acc_2020  \\\n",
       "0                    1911.0                 0.0                   1910.0   \n",
       "1                     503.0                 1.0                    503.0   \n",
       "2                     320.0                 NaN                      NaN   \n",
       "3                     145.0                 NaN                      NaN   \n",
       "4                      88.0                 NaN                      NaN   \n",
       "5                      43.0                 NaN                      NaN   \n",
       "6                       5.0                 NaN                      NaN   \n",
       "7                       1.0                 NaN                      NaN   \n",
       "8                       NaN                 NaN                      NaN   \n",
       "9                       NaN                 NaN                      NaN   \n",
       "10                      NaN                 NaN                      NaN   \n",
       "11                      NaN                 NaN                      NaN   \n",
       "12                      NaN                 NaN                      NaN   \n",
       "13                      NaN                 NaN                      NaN   \n",
       "14                      NaN                 NaN                      NaN   \n",
       "15                      NaN                 NaN                      NaN   \n",
       "16                      NaN                 NaN                      NaN   \n",
       "17                      NaN                 NaN                      NaN   \n",
       "18                      NaN                 NaN                      NaN   \n",
       "19                      NaN                 NaN                      NaN   \n",
       "20                      NaN                 NaN                      NaN   \n",
       "21                      NaN                 NaN                      NaN   \n",
       "22                      NaN                 NaN                      NaN   \n",
       "23                      NaN                 NaN                      NaN   \n",
       "24                      NaN                 NaN                      NaN   \n",
       "25                      NaN                 NaN                      NaN   \n",
       "26                      NaN                 NaN                      NaN   \n",
       "27                      NaN                 NaN                      NaN   \n",
       "28                      NaN                 NaN                      NaN   \n",
       "29                      NaN                 NaN                      NaN   \n",
       "30                      NaN                 NaN                      NaN   \n",
       "31                      NaN                 NaN                      NaN   \n",
       "32                      NaN                 NaN                      NaN   \n",
       "33                      NaN                 NaN                      NaN   \n",
       "34                      NaN                 NaN                      NaN   \n",
       "35                      NaN                 NaN                      NaN   \n",
       "36                      NaN                 NaN                      NaN   \n",
       "37                      NaN                 NaN                      NaN   \n",
       "38                      NaN                 NaN                      NaN   \n",
       "39                      NaN                 NaN                      NaN   \n",
       "40                      NaN                 NaN                      NaN   \n",
       "41                      NaN                 NaN                      NaN   \n",
       "42                      NaN                 NaN                      NaN   \n",
       "43                      NaN                 NaN                      NaN   \n",
       "44                      NaN                 NaN                      NaN   \n",
       "45                      NaN                 NaN                      NaN   \n",
       "46                      NaN                 NaN                      NaN   \n",
       "47                      NaN                 NaN                      NaN   \n",
       "48                      NaN                 NaN                      NaN   \n",
       "49                      NaN                 NaN                      NaN   \n",
       "50                      NaN                 NaN                      NaN   \n",
       "51                      NaN                 NaN                      NaN   \n",
       "52                      NaN                 NaN                      NaN   \n",
       "53                      NaN                 NaN                      NaN   \n",
       "54                      NaN                 NaN                      NaN   \n",
       "55                      NaN                 NaN                      NaN   \n",
       "56                      NaN                 NaN                      NaN   \n",
       "57                      NaN                 NaN                      NaN   \n",
       "58                      NaN                 NaN                      NaN   \n",
       "59                      NaN                 NaN                      NaN   \n",
       "60                      NaN                 NaN                      NaN   \n",
       "61                      NaN                 NaN                      NaN   \n",
       "62                      NaN                 NaN                      NaN   \n",
       "63                      NaN                 NaN                      NaN   \n",
       "64                      NaN                 NaN                      NaN   \n",
       "65                      NaN                 NaN                      NaN   \n",
       "66                      NaN                 NaN                      NaN   \n",
       "\n",
       "    Policy26_2020  freq26_2020_policy  scenario26_2020  freq26_2020_scenario  \\\n",
       "0             0.0                67.0            176.0                  42.0   \n",
       "1            38.0                67.0            184.0                  41.0   \n",
       "2            24.0                67.0             14.0                  40.0   \n",
       "3            30.0                67.0            165.0                  40.0   \n",
       "4            20.0                67.0             10.0                  40.0   \n",
       "5            32.0                67.0            125.0                  39.0   \n",
       "6            34.0                67.0             83.0                  39.0   \n",
       "7            19.0                67.0             76.0                  38.0   \n",
       "8            11.0                67.0             89.0                  38.0   \n",
       "9            42.0                67.0            181.0                  38.0   \n",
       "10           44.0                67.0            150.0                  38.0   \n",
       "11           10.0                67.0            177.0                  38.0   \n",
       "12            9.0                67.0             74.0                  38.0   \n",
       "13            8.0                67.0            106.0                  38.0   \n",
       "14            3.0                67.0            154.0                  38.0   \n",
       "15           26.0                67.0             94.0                  38.0   \n",
       "16           27.0                66.0             85.0                  37.0   \n",
       "17           22.0                66.0            144.0                  37.0   \n",
       "18           39.0                66.0            168.0                  37.0   \n",
       "19            6.0                65.0            152.0                  37.0   \n",
       "20           37.0                65.0            136.0                  37.0   \n",
       "21            7.0                64.0            116.0                  37.0   \n",
       "22           28.0                63.0             28.0                  37.0   \n",
       "23           14.0                62.0            143.0                  37.0   \n",
       "24           35.0                58.0            178.0                  37.0   \n",
       "25           21.0                53.0            193.0                  37.0   \n",
       "26           13.0                52.0             66.0                  37.0   \n",
       "27           31.0                51.0             96.0                  36.0   \n",
       "28           41.0                50.0            180.0                  36.0   \n",
       "29            2.0                49.0            134.0                  36.0   \n",
       "30           16.0                49.0            117.0                  36.0   \n",
       "31            5.0                48.0            197.0                  36.0   \n",
       "32           18.0                47.0             23.0                  36.0   \n",
       "33           33.0                45.0            172.0                  36.0   \n",
       "34           43.0                44.0            183.0                  36.0   \n",
       "35           23.0                39.0            104.0                  36.0   \n",
       "36           12.0                38.0            149.0                  36.0   \n",
       "37           29.0                38.0             70.0                  36.0   \n",
       "38           25.0                37.0            133.0                  35.0   \n",
       "39           15.0                31.0             71.0                  35.0   \n",
       "40            4.0                24.0             68.0                  35.0   \n",
       "41           17.0                21.0            167.0                  35.0   \n",
       "42            1.0                18.0             95.0                  35.0   \n",
       "43           40.0                17.0             58.0                  35.0   \n",
       "44           36.0                15.0              8.0                  35.0   \n",
       "45            NaN                 NaN            120.0                  35.0   \n",
       "46            NaN                 NaN              2.0                  35.0   \n",
       "47            NaN                 NaN            156.0                  35.0   \n",
       "48            NaN                 NaN            161.0                  35.0   \n",
       "49            NaN                 NaN             37.0                  35.0   \n",
       "50            NaN                 NaN             87.0                  35.0   \n",
       "51            NaN                 NaN            101.0                  35.0   \n",
       "52            NaN                 NaN             33.0                  35.0   \n",
       "53            NaN                 NaN            199.0                  35.0   \n",
       "54            NaN                 NaN            169.0                  35.0   \n",
       "55            NaN                 NaN            173.0                  34.0   \n",
       "56            NaN                 NaN            196.0                  34.0   \n",
       "57            NaN                 NaN             49.0                  34.0   \n",
       "58            NaN                 NaN            123.0                  34.0   \n",
       "59            NaN                 NaN            110.0                  34.0   \n",
       "60            NaN                 NaN             64.0                  33.0   \n",
       "61            NaN                 NaN            111.0                  33.0   \n",
       "62            NaN                 NaN              3.0                  33.0   \n",
       "63            NaN                 NaN             51.0                  32.0   \n",
       "64            NaN                 NaN              6.0                  32.0   \n",
       "65            NaN                 NaN             11.0                  31.0   \n",
       "66            NaN                 NaN             40.0                  28.0   \n",
       "\n",
       "    freq26_tip_all_2050  tippingPoint26_all_2050  freq26_tipacc_2050  \\\n",
       "0                   0.0                   1772.0                 0.0   \n",
       "1                   1.0                    527.0                 1.0   \n",
       "2                   2.0                    373.0                 2.0   \n",
       "3                   3.0                    147.0                 NaN   \n",
       "4                   4.0                    104.0                 NaN   \n",
       "5                   5.0                     67.0                 NaN   \n",
       "6                   6.0                     22.0                 NaN   \n",
       "7                   7.0                      4.0                 NaN   \n",
       "8                   NaN                      NaN                 NaN   \n",
       "9                   NaN                      NaN                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint26_acc_2050  Policy26_2050  freq26_2050_policy  \\\n",
       "0                    1771.0           22.0                67.0   \n",
       "1                     527.0           28.0                67.0   \n",
       "2                     373.0            3.0                67.0   \n",
       "3                       NaN            6.0                67.0   \n",
       "4                       NaN            7.0                67.0   \n",
       "5                       NaN            8.0                67.0   \n",
       "6                       NaN            9.0                67.0   \n",
       "7                       NaN           10.0                67.0   \n",
       "8                       NaN           11.0                67.0   \n",
       "9                       NaN           19.0                67.0   \n",
       "10                      NaN           20.0                67.0   \n",
       "11                      NaN           24.0                67.0   \n",
       "12                      NaN           26.0                67.0   \n",
       "13                      NaN           27.0                67.0   \n",
       "14                      NaN            0.0                67.0   \n",
       "15                      NaN           44.0                67.0   \n",
       "16                      NaN           32.0                67.0   \n",
       "17                      NaN           39.0                67.0   \n",
       "18                      NaN           34.0                67.0   \n",
       "19                      NaN           42.0                67.0   \n",
       "20                      NaN           37.0                67.0   \n",
       "21                      NaN           38.0                67.0   \n",
       "22                      NaN           30.0                67.0   \n",
       "23                      NaN           35.0                67.0   \n",
       "24                      NaN           16.0                66.0   \n",
       "25                      NaN           31.0                65.0   \n",
       "26                      NaN            5.0                65.0   \n",
       "27                      NaN           21.0                64.0   \n",
       "28                      NaN           41.0                63.0   \n",
       "29                      NaN           14.0                62.0   \n",
       "30                      NaN           18.0                62.0   \n",
       "31                      NaN           13.0                60.0   \n",
       "32                      NaN           29.0                57.0   \n",
       "33                      NaN           25.0                57.0   \n",
       "34                      NaN           23.0                56.0   \n",
       "35                      NaN           33.0                53.0   \n",
       "36                      NaN            2.0                52.0   \n",
       "37                      NaN           43.0                50.0   \n",
       "38                      NaN           12.0                45.0   \n",
       "39                      NaN           15.0                43.0   \n",
       "40                      NaN           17.0                39.0   \n",
       "41                      NaN           40.0                32.0   \n",
       "42                      NaN            4.0                29.0   \n",
       "43                      NaN            1.0                28.0   \n",
       "44                      NaN           36.0                15.0   \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             106.0                  43.0                  0.0   \n",
       "1              94.0                  43.0                  1.0   \n",
       "2             177.0                  43.0                  2.0   \n",
       "3             178.0                  42.0                  3.0   \n",
       "4             184.0                  42.0                  4.0   \n",
       "5             167.0                  42.0                  5.0   \n",
       "6             101.0                  42.0                  6.0   \n",
       "7              83.0                  42.0                  7.0   \n",
       "8             150.0                  42.0                  NaN   \n",
       "9              96.0                  41.0                  NaN   \n",
       "10            116.0                  41.0                  NaN   \n",
       "11            176.0                  41.0                  NaN   \n",
       "12            149.0                  41.0                  NaN   \n",
       "13             66.0                  41.0                  NaN   \n",
       "14             70.0                  41.0                  NaN   \n",
       "15             74.0                  41.0                  NaN   \n",
       "16            165.0                  41.0                  NaN   \n",
       "17             95.0                  41.0                  NaN   \n",
       "18            193.0                  41.0                  NaN   \n",
       "19            133.0                  41.0                  NaN   \n",
       "20             89.0                  41.0                  NaN   \n",
       "21             71.0                  41.0                  NaN   \n",
       "22            134.0                  41.0                  NaN   \n",
       "23            144.0                  40.0                  NaN   \n",
       "24            156.0                  40.0                  NaN   \n",
       "25            136.0                  40.0                  NaN   \n",
       "26            120.0                  40.0                  NaN   \n",
       "27             87.0                  40.0                  NaN   \n",
       "28            123.0                  40.0                  NaN   \n",
       "29            125.0                  40.0                  NaN   \n",
       "30            104.0                  40.0                  NaN   \n",
       "31            154.0                  40.0                  NaN   \n",
       "32             76.0                  40.0                  NaN   \n",
       "33             58.0                  40.0                  NaN   \n",
       "34            173.0                  40.0                  NaN   \n",
       "35             49.0                  40.0                  NaN   \n",
       "36             14.0                  40.0                  NaN   \n",
       "37             51.0                  40.0                  NaN   \n",
       "38            196.0                  40.0                  NaN   \n",
       "39             10.0                  40.0                  NaN   \n",
       "40            168.0                  40.0                  NaN   \n",
       "41             28.0                  39.0                  NaN   \n",
       "42             23.0                  39.0                  NaN   \n",
       "43            117.0                  39.0                  NaN   \n",
       "44             11.0                  39.0                  NaN   \n",
       "45            110.0                  39.0                  NaN   \n",
       "46            152.0                  39.0                  NaN   \n",
       "47            197.0                  39.0                  NaN   \n",
       "48            172.0                  39.0                  NaN   \n",
       "49            180.0                  39.0                  NaN   \n",
       "50            111.0                  39.0                  NaN   \n",
       "51            183.0                  39.0                  NaN   \n",
       "52             33.0                  39.0                  NaN   \n",
       "53            199.0                  39.0                  NaN   \n",
       "54            181.0                  39.0                  NaN   \n",
       "55             68.0                  38.0                  NaN   \n",
       "56             64.0                  38.0                  NaN   \n",
       "57            161.0                  38.0                  NaN   \n",
       "58             40.0                  38.0                  NaN   \n",
       "59            169.0                  38.0                  NaN   \n",
       "60             37.0                  38.0                  NaN   \n",
       "61            143.0                  38.0                  NaN   \n",
       "62             85.0                  38.0                  NaN   \n",
       "63              6.0                  38.0                  NaN   \n",
       "64              8.0                  37.0                  NaN   \n",
       "65              2.0                  36.0                  NaN   \n",
       "66              3.0                  35.0                  NaN   \n",
       "\n",
       "    tippingPoint26_all_2070  freq26_tipacc_2070  tippingPoint26_acc_2070  \\\n",
       "0                    1617.0                 0.0                   1616.0   \n",
       "1                     397.0                 1.0                    397.0   \n",
       "2                     375.0                 2.0                    375.0   \n",
       "3                     251.0                 NaN                      NaN   \n",
       "4                     202.0                 NaN                      NaN   \n",
       "5                     124.0                 NaN                      NaN   \n",
       "6                      41.0                 NaN                      NaN   \n",
       "7                       9.0                 NaN                      NaN   \n",
       "8                       NaN                 NaN                      NaN   \n",
       "9                       NaN                 NaN                      NaN   \n",
       "10                      NaN                 NaN                      NaN   \n",
       "11                      NaN                 NaN                      NaN   \n",
       "12                      NaN                 NaN                      NaN   \n",
       "13                      NaN                 NaN                      NaN   \n",
       "14                      NaN                 NaN                      NaN   \n",
       "15                      NaN                 NaN                      NaN   \n",
       "16                      NaN                 NaN                      NaN   \n",
       "17                      NaN                 NaN                      NaN   \n",
       "18                      NaN                 NaN                      NaN   \n",
       "19                      NaN                 NaN                      NaN   \n",
       "20                      NaN                 NaN                      NaN   \n",
       "21                      NaN                 NaN                      NaN   \n",
       "22                      NaN                 NaN                      NaN   \n",
       "23                      NaN                 NaN                      NaN   \n",
       "24                      NaN                 NaN                      NaN   \n",
       "25                      NaN                 NaN                      NaN   \n",
       "26                      NaN                 NaN                      NaN   \n",
       "27                      NaN                 NaN                      NaN   \n",
       "28                      NaN                 NaN                      NaN   \n",
       "29                      NaN                 NaN                      NaN   \n",
       "30                      NaN                 NaN                      NaN   \n",
       "31                      NaN                 NaN                      NaN   \n",
       "32                      NaN                 NaN                      NaN   \n",
       "33                      NaN                 NaN                      NaN   \n",
       "34                      NaN                 NaN                      NaN   \n",
       "35                      NaN                 NaN                      NaN   \n",
       "36                      NaN                 NaN                      NaN   \n",
       "37                      NaN                 NaN                      NaN   \n",
       "38                      NaN                 NaN                      NaN   \n",
       "39                      NaN                 NaN                      NaN   \n",
       "40                      NaN                 NaN                      NaN   \n",
       "41                      NaN                 NaN                      NaN   \n",
       "42                      NaN                 NaN                      NaN   \n",
       "43                      NaN                 NaN                      NaN   \n",
       "44                      NaN                 NaN                      NaN   \n",
       "45                      NaN                 NaN                      NaN   \n",
       "46                      NaN                 NaN                      NaN   \n",
       "47                      NaN                 NaN                      NaN   \n",
       "48                      NaN                 NaN                      NaN   \n",
       "49                      NaN                 NaN                      NaN   \n",
       "50                      NaN                 NaN                      NaN   \n",
       "51                      NaN                 NaN                      NaN   \n",
       "52                      NaN                 NaN                      NaN   \n",
       "53                      NaN                 NaN                      NaN   \n",
       "54                      NaN                 NaN                      NaN   \n",
       "55                      NaN                 NaN                      NaN   \n",
       "56                      NaN                 NaN                      NaN   \n",
       "57                      NaN                 NaN                      NaN   \n",
       "58                      NaN                 NaN                      NaN   \n",
       "59                      NaN                 NaN                      NaN   \n",
       "60                      NaN                 NaN                      NaN   \n",
       "61                      NaN                 NaN                      NaN   \n",
       "62                      NaN                 NaN                      NaN   \n",
       "63                      NaN                 NaN                      NaN   \n",
       "64                      NaN                 NaN                      NaN   \n",
       "65                      NaN                 NaN                      NaN   \n",
       "66                      NaN                 NaN                      NaN   \n",
       "\n",
       "    Policy26_2070  freq26_2070_policy  scenario26_2070  freq26_2070_scenario  \\\n",
       "0             0.0                67.0            133.0                  41.0   \n",
       "1            26.0                67.0            177.0                  40.0   \n",
       "2             8.0                67.0            149.0                  39.0   \n",
       "3             9.0                67.0             23.0                  39.0   \n",
       "4            10.0                67.0            184.0                  39.0   \n",
       "5            11.0                67.0            176.0                  39.0   \n",
       "6            19.0                67.0            165.0                  38.0   \n",
       "7            20.0                67.0             87.0                  38.0   \n",
       "8            34.0                67.0             49.0                  38.0   \n",
       "9            32.0                67.0             66.0                  38.0   \n",
       "10           30.0                67.0            196.0                  38.0   \n",
       "11           44.0                66.0             83.0                  38.0   \n",
       "12           42.0                66.0            120.0                  38.0   \n",
       "13           24.0                66.0             95.0                  38.0   \n",
       "14            3.0                65.0             70.0                  37.0   \n",
       "15           22.0                65.0            134.0                  37.0   \n",
       "16           38.0                65.0            101.0                  37.0   \n",
       "17           39.0                63.0            152.0                  37.0   \n",
       "18            6.0                63.0            168.0                  37.0   \n",
       "19            7.0                63.0            116.0                  37.0   \n",
       "20           37.0                63.0            106.0                  37.0   \n",
       "21           27.0                63.0             74.0                  37.0   \n",
       "22           28.0                60.0            150.0                  37.0   \n",
       "23           14.0                60.0            117.0                  37.0   \n",
       "24           35.0                56.0             10.0                  36.0   \n",
       "25           21.0                52.0            136.0                  36.0   \n",
       "26           31.0                51.0             76.0                  36.0   \n",
       "27            5.0                50.0            169.0                  36.0   \n",
       "28           16.0                47.0            144.0                  36.0   \n",
       "29            2.0                46.0            178.0                  36.0   \n",
       "30           13.0                46.0             71.0                  36.0   \n",
       "31           18.0                45.0             33.0                  36.0   \n",
       "32           41.0                45.0             89.0                  36.0   \n",
       "33           25.0                43.0            154.0                  36.0   \n",
       "34           43.0                42.0            193.0                  35.0   \n",
       "35           29.0                39.0            183.0                  35.0   \n",
       "36           23.0                38.0            172.0                  35.0   \n",
       "37           33.0                36.0            156.0                  35.0   \n",
       "38           12.0                35.0            110.0                  35.0   \n",
       "39           40.0                30.0             28.0                  35.0   \n",
       "40           15.0                30.0             85.0                  35.0   \n",
       "41           17.0                30.0             14.0                  35.0   \n",
       "42            4.0                23.0             37.0                  35.0   \n",
       "43            1.0                23.0            123.0                  35.0   \n",
       "44           36.0                16.0            125.0                  35.0   \n",
       "45            NaN                 NaN            199.0                  35.0   \n",
       "46            NaN                 NaN             94.0                  34.0   \n",
       "47            NaN                 NaN              6.0                  34.0   \n",
       "48            NaN                 NaN              3.0                  34.0   \n",
       "49            NaN                 NaN            197.0                  34.0   \n",
       "50            NaN                 NaN            161.0                  34.0   \n",
       "51            NaN                 NaN            167.0                  34.0   \n",
       "52            NaN                 NaN            143.0                  34.0   \n",
       "53            NaN                 NaN            181.0                  34.0   \n",
       "54            NaN                 NaN            104.0                  33.0   \n",
       "55            NaN                 NaN            173.0                  33.0   \n",
       "56            NaN                 NaN              8.0                  33.0   \n",
       "57            NaN                 NaN            111.0                  33.0   \n",
       "58            NaN                 NaN             51.0                  33.0   \n",
       "59            NaN                 NaN             40.0                  33.0   \n",
       "60            NaN                 NaN             58.0                  33.0   \n",
       "61            NaN                 NaN             68.0                  33.0   \n",
       "62            NaN                 NaN            180.0                  33.0   \n",
       "63            NaN                 NaN              2.0                  33.0   \n",
       "64            NaN                 NaN             11.0                  32.0   \n",
       "65            NaN                 NaN             64.0                  32.0   \n",
       "66            NaN                 NaN             96.0                  31.0   \n",
       "\n",
       "    freq45_tip_all_1980  tippingPoint45_all_1980  ...  scenario45_2070  \\\n",
       "0                   0.0                   2304.0  ...             52.0   \n",
       "1                   1.0                    380.0  ...             92.0   \n",
       "2                   2.0                    204.0  ...             78.0   \n",
       "3                   3.0                     58.0  ...             84.0   \n",
       "4                   4.0                     21.0  ...            151.0   \n",
       "5                   5.0                      4.0  ...            121.0   \n",
       "6                   NaN                      NaN  ...             29.0   \n",
       "7                   NaN                      NaN  ...             62.0   \n",
       "8                   NaN                      NaN  ...            114.0   \n",
       "9                   NaN                      NaN  ...             99.0   \n",
       "10                  NaN                      NaN  ...            188.0   \n",
       "11                  NaN                      NaN  ...            175.0   \n",
       "12                  NaN                      NaN  ...             36.0   \n",
       "13                  NaN                      NaN  ...             31.0   \n",
       "14                  NaN                      NaN  ...             15.0   \n",
       "15                  NaN                      NaN  ...            135.0   \n",
       "16                  NaN                      NaN  ...              7.0   \n",
       "17                  NaN                      NaN  ...             57.0   \n",
       "18                  NaN                      NaN  ...            187.0   \n",
       "19                  NaN                      NaN  ...             77.0   \n",
       "20                  NaN                      NaN  ...            160.0   \n",
       "21                  NaN                      NaN  ...            146.0   \n",
       "22                  NaN                      NaN  ...            124.0   \n",
       "23                  NaN                      NaN  ...            158.0   \n",
       "24                  NaN                      NaN  ...             56.0   \n",
       "25                  NaN                      NaN  ...             91.0   \n",
       "26                  NaN                      NaN  ...             80.0   \n",
       "27                  NaN                      NaN  ...              9.0   \n",
       "28                  NaN                      NaN  ...            179.0   \n",
       "29                  NaN                      NaN  ...            119.0   \n",
       "30                  NaN                      NaN  ...             81.0   \n",
       "31                  NaN                      NaN  ...            127.0   \n",
       "32                  NaN                      NaN  ...             45.0   \n",
       "33                  NaN                      NaN  ...            159.0   \n",
       "34                  NaN                      NaN  ...            164.0   \n",
       "35                  NaN                      NaN  ...            139.0   \n",
       "36                  NaN                      NaN  ...            170.0   \n",
       "37                  NaN                      NaN  ...             86.0   \n",
       "38                  NaN                      NaN  ...            162.0   \n",
       "39                  NaN                      NaN  ...             12.0   \n",
       "40                  NaN                      NaN  ...             16.0   \n",
       "41                  NaN                      NaN  ...            107.0   \n",
       "42                  NaN                      NaN  ...             44.0   \n",
       "43                  NaN                      NaN  ...            141.0   \n",
       "44                  NaN                      NaN  ...            118.0   \n",
       "45                  NaN                      NaN  ...             72.0   \n",
       "46                  NaN                      NaN  ...            115.0   \n",
       "47                  NaN                      NaN  ...            100.0   \n",
       "48                  NaN                      NaN  ...             53.0   \n",
       "49                  NaN                      NaN  ...             59.0   \n",
       "50                  NaN                      NaN  ...              1.0   \n",
       "51                  NaN                      NaN  ...              4.0   \n",
       "52                  NaN                      NaN  ...             60.0   \n",
       "53                  NaN                      NaN  ...            190.0   \n",
       "54                  NaN                      NaN  ...            129.0   \n",
       "55                  NaN                      NaN  ...             41.0   \n",
       "56                  NaN                      NaN  ...            109.0   \n",
       "57                  NaN                      NaN  ...             88.0   \n",
       "58                  NaN                      NaN  ...             25.0   \n",
       "59                  NaN                      NaN  ...             93.0   \n",
       "60                  NaN                      NaN  ...            195.0   \n",
       "61                  NaN                      NaN  ...             39.0   \n",
       "62                  NaN                      NaN  ...            108.0   \n",
       "63                  NaN                      NaN  ...            163.0   \n",
       "64                  NaN                      NaN  ...             24.0   \n",
       "65                  NaN                      NaN  ...            142.0   \n",
       "66                  NaN                      NaN  ...              NaN   \n",
       "\n",
       "    freq45_2070_scenario  freq85_tip_all_1980  tippingPoint85_all_1980  \\\n",
       "0                   35.0                  0.0                   2304.0   \n",
       "1                   34.0                  1.0                    380.0   \n",
       "2                   33.0                  2.0                    204.0   \n",
       "3                   33.0                  3.0                     58.0   \n",
       "4                   33.0                  4.0                     21.0   \n",
       "5                   32.0                  5.0                      4.0   \n",
       "6                   32.0                  NaN                      NaN   \n",
       "7                   31.0                  NaN                      NaN   \n",
       "8                   31.0                  NaN                      NaN   \n",
       "9                   31.0                  NaN                      NaN   \n",
       "10                  31.0                  NaN                      NaN   \n",
       "11                  30.0                  NaN                      NaN   \n",
       "12                  30.0                  NaN                      NaN   \n",
       "13                  30.0                  NaN                      NaN   \n",
       "14                  30.0                  NaN                      NaN   \n",
       "15                  30.0                  NaN                      NaN   \n",
       "16                  30.0                  NaN                      NaN   \n",
       "17                  29.0                  NaN                      NaN   \n",
       "18                  29.0                  NaN                      NaN   \n",
       "19                  29.0                  NaN                      NaN   \n",
       "20                  29.0                  NaN                      NaN   \n",
       "21                  29.0                  NaN                      NaN   \n",
       "22                  29.0                  NaN                      NaN   \n",
       "23                  29.0                  NaN                      NaN   \n",
       "24                  29.0                  NaN                      NaN   \n",
       "25                  29.0                  NaN                      NaN   \n",
       "26                  28.0                  NaN                      NaN   \n",
       "27                  28.0                  NaN                      NaN   \n",
       "28                  28.0                  NaN                      NaN   \n",
       "29                  28.0                  NaN                      NaN   \n",
       "30                  28.0                  NaN                      NaN   \n",
       "31                  28.0                  NaN                      NaN   \n",
       "32                  28.0                  NaN                      NaN   \n",
       "33                  28.0                  NaN                      NaN   \n",
       "34                  28.0                  NaN                      NaN   \n",
       "35                  28.0                  NaN                      NaN   \n",
       "36                  27.0                  NaN                      NaN   \n",
       "37                  27.0                  NaN                      NaN   \n",
       "38                  27.0                  NaN                      NaN   \n",
       "39                  27.0                  NaN                      NaN   \n",
       "40                  27.0                  NaN                      NaN   \n",
       "41                  27.0                  NaN                      NaN   \n",
       "42                  27.0                  NaN                      NaN   \n",
       "43                  27.0                  NaN                      NaN   \n",
       "44                  27.0                  NaN                      NaN   \n",
       "45                  27.0                  NaN                      NaN   \n",
       "46                  27.0                  NaN                      NaN   \n",
       "47                  27.0                  NaN                      NaN   \n",
       "48                  27.0                  NaN                      NaN   \n",
       "49                  27.0                  NaN                      NaN   \n",
       "50                  26.0                  NaN                      NaN   \n",
       "51                  26.0                  NaN                      NaN   \n",
       "52                  26.0                  NaN                      NaN   \n",
       "53                  26.0                  NaN                      NaN   \n",
       "54                  26.0                  NaN                      NaN   \n",
       "55                  26.0                  NaN                      NaN   \n",
       "56                  26.0                  NaN                      NaN   \n",
       "57                  25.0                  NaN                      NaN   \n",
       "58                  25.0                  NaN                      NaN   \n",
       "59                  24.0                  NaN                      NaN   \n",
       "60                  24.0                  NaN                      NaN   \n",
       "61                  24.0                  NaN                      NaN   \n",
       "62                  24.0                  NaN                      NaN   \n",
       "63                  24.0                  NaN                      NaN   \n",
       "64                  22.0                  NaN                      NaN   \n",
       "65                  21.0                  NaN                      NaN   \n",
       "66                   NaN                  NaN                      NaN   \n",
       "\n",
       "    freq85_tipacc_1980  tippingPoint85_acc_1980  Policy85_1980  \\\n",
       "0                  0.0                   2303.0           43.0   \n",
       "1                  1.0                    380.0           21.0   \n",
       "2                  2.0                    204.0           19.0   \n",
       "3                  3.0                     58.0           18.0   \n",
       "4                  4.0                     21.0           17.0   \n",
       "5                  5.0                      4.0           16.0   \n",
       "6                  NaN                      NaN           15.0   \n",
       "7                  NaN                      NaN           14.0   \n",
       "8                  NaN                      NaN           13.0   \n",
       "9                  NaN                      NaN           12.0   \n",
       "10                 NaN                      NaN           11.0   \n",
       "11                 NaN                      NaN           10.0   \n",
       "12                 NaN                      NaN            9.0   \n",
       "13                 NaN                      NaN            8.0   \n",
       "14                 NaN                      NaN            7.0   \n",
       "15                 NaN                      NaN            6.0   \n",
       "16                 NaN                      NaN            5.0   \n",
       "17                 NaN                      NaN            4.0   \n",
       "18                 NaN                      NaN            3.0   \n",
       "19                 NaN                      NaN            2.0   \n",
       "20                 NaN                      NaN            1.0   \n",
       "21                 NaN                      NaN           20.0   \n",
       "22                 NaN                      NaN           22.0   \n",
       "23                 NaN                      NaN           41.0   \n",
       "24                 NaN                      NaN           23.0   \n",
       "25                 NaN                      NaN           39.0   \n",
       "26                 NaN                      NaN           37.0   \n",
       "27                 NaN                      NaN           35.0   \n",
       "28                 NaN                      NaN           33.0   \n",
       "29                 NaN                      NaN           44.0   \n",
       "30                 NaN                      NaN           42.0   \n",
       "31                 NaN                      NaN           40.0   \n",
       "32                 NaN                      NaN           38.0   \n",
       "33                 NaN                      NaN           36.0   \n",
       "34                 NaN                      NaN           34.0   \n",
       "35                 NaN                      NaN           32.0   \n",
       "36                 NaN                      NaN           31.0   \n",
       "37                 NaN                      NaN           30.0   \n",
       "38                 NaN                      NaN           29.0   \n",
       "39                 NaN                      NaN           28.0   \n",
       "40                 NaN                      NaN           27.0   \n",
       "41                 NaN                      NaN           26.0   \n",
       "42                 NaN                      NaN           25.0   \n",
       "43                 NaN                      NaN           24.0   \n",
       "44                 NaN                      NaN            0.0   \n",
       "45                 NaN                      NaN            NaN   \n",
       "46                 NaN                      NaN            NaN   \n",
       "47                 NaN                      NaN            NaN   \n",
       "48                 NaN                      NaN            NaN   \n",
       "49                 NaN                      NaN            NaN   \n",
       "50                 NaN                      NaN            NaN   \n",
       "51                 NaN                      NaN            NaN   \n",
       "52                 NaN                      NaN            NaN   \n",
       "53                 NaN                      NaN            NaN   \n",
       "54                 NaN                      NaN            NaN   \n",
       "55                 NaN                      NaN            NaN   \n",
       "56                 NaN                      NaN            NaN   \n",
       "57                 NaN                      NaN            NaN   \n",
       "58                 NaN                      NaN            NaN   \n",
       "59                 NaN                      NaN            NaN   \n",
       "60                 NaN                      NaN            NaN   \n",
       "61                 NaN                      NaN            NaN   \n",
       "62                 NaN                      NaN            NaN   \n",
       "63                 NaN                      NaN            NaN   \n",
       "64                 NaN                      NaN            NaN   \n",
       "65                 NaN                      NaN            NaN   \n",
       "66                 NaN                      NaN            NaN   \n",
       "\n",
       "    freq85_1980_policy  scenario85_1980  freq85_1980_scenario  \\\n",
       "0                 66.0            179.0                  45.0   \n",
       "1                 66.0             62.0                  45.0   \n",
       "2                 66.0            109.0                  45.0   \n",
       "3                 66.0             99.0                  45.0   \n",
       "4                 66.0             77.0                  45.0   \n",
       "5                 66.0            163.0                  45.0   \n",
       "6                 66.0            129.0                  45.0   \n",
       "7                 66.0            160.0                  45.0   \n",
       "8                 66.0            124.0                  45.0   \n",
       "9                 66.0            108.0                  45.0   \n",
       "10                66.0            100.0                  45.0   \n",
       "11                66.0             92.0                  45.0   \n",
       "12                66.0             88.0                  45.0   \n",
       "13                66.0             84.0                  45.0   \n",
       "14                66.0             80.0                  45.0   \n",
       "15                66.0             72.0                  45.0   \n",
       "16                66.0             60.0                  45.0   \n",
       "17                66.0            135.0                  45.0   \n",
       "18                66.0             56.0                  45.0   \n",
       "19                66.0             52.0                  45.0   \n",
       "20                66.0             44.0                  45.0   \n",
       "21                66.0             36.0                  45.0   \n",
       "22                66.0             31.0                  45.0   \n",
       "23                66.0             29.0                  45.0   \n",
       "24                66.0             25.0                  45.0   \n",
       "25                66.0             24.0                  45.0   \n",
       "26                66.0             16.0                  45.0   \n",
       "27                66.0             15.0                  45.0   \n",
       "28                66.0             12.0                  45.0   \n",
       "29                66.0              9.0                  45.0   \n",
       "30                66.0              7.0                  45.0   \n",
       "31                66.0              4.0                  45.0   \n",
       "32                66.0            187.0                  45.0   \n",
       "33                66.0            119.0                  45.0   \n",
       "34                66.0            146.0                  45.0   \n",
       "35                66.0            158.0                  45.0   \n",
       "36                66.0            190.0                  45.0   \n",
       "37                66.0            162.0                  45.0   \n",
       "38                66.0            127.0                  45.0   \n",
       "39                66.0            121.0                  45.0   \n",
       "40                66.0            107.0                  45.0   \n",
       "41                66.0             93.0                  45.0   \n",
       "42                66.0            151.0                  45.0   \n",
       "43                66.0             91.0                  45.0   \n",
       "44                66.0            195.0                  45.0   \n",
       "45                 NaN            159.0                  45.0   \n",
       "46                 NaN            141.0                  45.0   \n",
       "47                 NaN            188.0                  45.0   \n",
       "48                 NaN            164.0                  45.0   \n",
       "49                 NaN            118.0                  45.0   \n",
       "50                 NaN            114.0                  45.0   \n",
       "51                 NaN             86.0                  45.0   \n",
       "52                 NaN             78.0                  45.0   \n",
       "53                 NaN             59.0                  45.0   \n",
       "54                 NaN            142.0                  45.0   \n",
       "55                 NaN             57.0                  45.0   \n",
       "56                 NaN             53.0                  45.0   \n",
       "57                 NaN            115.0                  45.0   \n",
       "58                 NaN             45.0                  45.0   \n",
       "59                 NaN            175.0                  45.0   \n",
       "60                 NaN             41.0                  45.0   \n",
       "61                 NaN             81.0                  45.0   \n",
       "62                 NaN             39.0                  45.0   \n",
       "63                 NaN            139.0                  45.0   \n",
       "64                 NaN            170.0                  45.0   \n",
       "65                 NaN              1.0                  45.0   \n",
       "66                 NaN              NaN                   NaN   \n",
       "\n",
       "    freq85_tip_all_2020  tippingPoint85_all_2020  freq85_tipacc_2020  \\\n",
       "0                   0.0                   1846.0                 0.0   \n",
       "1                   1.0                    543.0                 1.0   \n",
       "2                   2.0                    269.0                 NaN   \n",
       "3                   3.0                    149.0                 NaN   \n",
       "4                   4.0                    103.0                 NaN   \n",
       "5                   5.0                     47.0                 NaN   \n",
       "6                   6.0                     13.0                 NaN   \n",
       "7                   7.0                      1.0                 NaN   \n",
       "8                   NaN                      NaN                 NaN   \n",
       "9                   NaN                      NaN                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint85_acc_2020  Policy85_2020  freq85_2020_policy  \\\n",
       "0                    1845.0            0.0                66.0   \n",
       "1                     543.0            8.0                66.0   \n",
       "2                       NaN            9.0                66.0   \n",
       "3                       NaN           11.0                66.0   \n",
       "4                       NaN           19.0                66.0   \n",
       "5                       NaN           20.0                66.0   \n",
       "6                       NaN           26.0                66.0   \n",
       "7                       NaN           30.0                66.0   \n",
       "8                       NaN           34.0                66.0   \n",
       "9                       NaN           32.0                65.0   \n",
       "10                      NaN            3.0                65.0   \n",
       "11                      NaN           10.0                65.0   \n",
       "12                      NaN           22.0                65.0   \n",
       "13                      NaN           42.0                65.0   \n",
       "14                      NaN           38.0                65.0   \n",
       "15                      NaN            7.0                64.0   \n",
       "16                      NaN            6.0                63.0   \n",
       "17                      NaN           44.0                63.0   \n",
       "18                      NaN           27.0                63.0   \n",
       "19                      NaN           39.0                62.0   \n",
       "20                      NaN           37.0                62.0   \n",
       "21                      NaN           24.0                62.0   \n",
       "22                      NaN           28.0                61.0   \n",
       "23                      NaN           35.0                57.0   \n",
       "24                      NaN           14.0                56.0   \n",
       "25                      NaN           31.0                54.0   \n",
       "26                      NaN           21.0                51.0   \n",
       "27                      NaN           16.0                51.0   \n",
       "28                      NaN           41.0                49.0   \n",
       "29                      NaN            5.0                49.0   \n",
       "30                      NaN           13.0                48.0   \n",
       "31                      NaN           18.0                47.0   \n",
       "32                      NaN            2.0                46.0   \n",
       "33                      NaN           23.0                44.0   \n",
       "34                      NaN           29.0                43.0   \n",
       "35                      NaN           12.0                42.0   \n",
       "36                      NaN           33.0                42.0   \n",
       "37                      NaN           25.0                40.0   \n",
       "38                      NaN           43.0                38.0   \n",
       "39                      NaN           17.0                35.0   \n",
       "40                      NaN           15.0                30.0   \n",
       "41                      NaN           40.0                28.0   \n",
       "42                      NaN            4.0                22.0   \n",
       "43                      NaN            1.0                22.0   \n",
       "44                      NaN           36.0                10.0   \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             119.0                  41.0                  0.0   \n",
       "1             164.0                  40.0                  1.0   \n",
       "2             151.0                  40.0                  3.0   \n",
       "3             160.0                  39.0                  2.0   \n",
       "4             124.0                  39.0                  4.0   \n",
       "5             107.0                  39.0                  5.0   \n",
       "6             100.0                  39.0                  6.0   \n",
       "7              78.0                  39.0                  7.0   \n",
       "8              91.0                  39.0                  8.0   \n",
       "9             159.0                  39.0                  9.0   \n",
       "10             57.0                  39.0                  NaN   \n",
       "11            118.0                  39.0                  NaN   \n",
       "12             72.0                  39.0                  NaN   \n",
       "13            187.0                  38.0                  NaN   \n",
       "14             81.0                  38.0                  NaN   \n",
       "15             53.0                  38.0                  NaN   \n",
       "16             99.0                  38.0                  NaN   \n",
       "17             77.0                  38.0                  NaN   \n",
       "18            114.0                  38.0                  NaN   \n",
       "19             52.0                  38.0                  NaN   \n",
       "20             29.0                  38.0                  NaN   \n",
       "21             60.0                  37.0                  NaN   \n",
       "22             88.0                  37.0                  NaN   \n",
       "23            190.0                  37.0                  NaN   \n",
       "24            162.0                  37.0                  NaN   \n",
       "25            146.0                  37.0                  NaN   \n",
       "26             84.0                  37.0                  NaN   \n",
       "27             41.0                  37.0                  NaN   \n",
       "28             45.0                  37.0                  NaN   \n",
       "29            115.0                  37.0                  NaN   \n",
       "30             59.0                  37.0                  NaN   \n",
       "31             31.0                  36.0                  NaN   \n",
       "32            163.0                  36.0                  NaN   \n",
       "33             80.0                  36.0                  NaN   \n",
       "34             12.0                  36.0                  NaN   \n",
       "35              9.0                  36.0                  NaN   \n",
       "36            129.0                  36.0                  NaN   \n",
       "37             36.0                  36.0                  NaN   \n",
       "38              1.0                  36.0                  NaN   \n",
       "39            175.0                  36.0                  NaN   \n",
       "40            139.0                  36.0                  NaN   \n",
       "41            141.0                  36.0                  NaN   \n",
       "42             86.0                  36.0                  NaN   \n",
       "43             39.0                  36.0                  NaN   \n",
       "44            195.0                  36.0                  NaN   \n",
       "45             92.0                  35.0                  NaN   \n",
       "46            121.0                  35.0                  NaN   \n",
       "47             93.0                  35.0                  NaN   \n",
       "48            142.0                  35.0                  NaN   \n",
       "49             62.0                  35.0                  NaN   \n",
       "50             56.0                  35.0                  NaN   \n",
       "51             44.0                  35.0                  NaN   \n",
       "52            179.0                  35.0                  NaN   \n",
       "53            127.0                  33.0                  NaN   \n",
       "54             15.0                  33.0                  NaN   \n",
       "55              7.0                  33.0                  NaN   \n",
       "56            188.0                  33.0                  NaN   \n",
       "57            108.0                  33.0                  NaN   \n",
       "58            158.0                  33.0                  NaN   \n",
       "59             25.0                  32.0                  NaN   \n",
       "60             16.0                  32.0                  NaN   \n",
       "61            135.0                  32.0                  NaN   \n",
       "62            170.0                  32.0                  NaN   \n",
       "63             24.0                  31.0                  NaN   \n",
       "64              4.0                  31.0                  NaN   \n",
       "65            109.0                  31.0                  NaN   \n",
       "66              NaN                   NaN                  NaN   \n",
       "\n",
       "    tippingPoint85_all_2050  freq85_tipacc_2050  tippingPoint85_acc_2050  \\\n",
       "0                    1390.0                 0.0                   1389.0   \n",
       "1                     424.0                 1.0                    424.0   \n",
       "2                     321.0                 2.0                    315.0   \n",
       "3                     315.0                 NaN                      NaN   \n",
       "4                     211.0                 NaN                      NaN   \n",
       "5                     162.0                 NaN                      NaN   \n",
       "6                      97.0                 NaN                      NaN   \n",
       "7                      43.0                 NaN                      NaN   \n",
       "8                       7.0                 NaN                      NaN   \n",
       "9                       1.0                 NaN                      NaN   \n",
       "10                      NaN                 NaN                      NaN   \n",
       "11                      NaN                 NaN                      NaN   \n",
       "12                      NaN                 NaN                      NaN   \n",
       "13                      NaN                 NaN                      NaN   \n",
       "14                      NaN                 NaN                      NaN   \n",
       "15                      NaN                 NaN                      NaN   \n",
       "16                      NaN                 NaN                      NaN   \n",
       "17                      NaN                 NaN                      NaN   \n",
       "18                      NaN                 NaN                      NaN   \n",
       "19                      NaN                 NaN                      NaN   \n",
       "20                      NaN                 NaN                      NaN   \n",
       "21                      NaN                 NaN                      NaN   \n",
       "22                      NaN                 NaN                      NaN   \n",
       "23                      NaN                 NaN                      NaN   \n",
       "24                      NaN                 NaN                      NaN   \n",
       "25                      NaN                 NaN                      NaN   \n",
       "26                      NaN                 NaN                      NaN   \n",
       "27                      NaN                 NaN                      NaN   \n",
       "28                      NaN                 NaN                      NaN   \n",
       "29                      NaN                 NaN                      NaN   \n",
       "30                      NaN                 NaN                      NaN   \n",
       "31                      NaN                 NaN                      NaN   \n",
       "32                      NaN                 NaN                      NaN   \n",
       "33                      NaN                 NaN                      NaN   \n",
       "34                      NaN                 NaN                      NaN   \n",
       "35                      NaN                 NaN                      NaN   \n",
       "36                      NaN                 NaN                      NaN   \n",
       "37                      NaN                 NaN                      NaN   \n",
       "38                      NaN                 NaN                      NaN   \n",
       "39                      NaN                 NaN                      NaN   \n",
       "40                      NaN                 NaN                      NaN   \n",
       "41                      NaN                 NaN                      NaN   \n",
       "42                      NaN                 NaN                      NaN   \n",
       "43                      NaN                 NaN                      NaN   \n",
       "44                      NaN                 NaN                      NaN   \n",
       "45                      NaN                 NaN                      NaN   \n",
       "46                      NaN                 NaN                      NaN   \n",
       "47                      NaN                 NaN                      NaN   \n",
       "48                      NaN                 NaN                      NaN   \n",
       "49                      NaN                 NaN                      NaN   \n",
       "50                      NaN                 NaN                      NaN   \n",
       "51                      NaN                 NaN                      NaN   \n",
       "52                      NaN                 NaN                      NaN   \n",
       "53                      NaN                 NaN                      NaN   \n",
       "54                      NaN                 NaN                      NaN   \n",
       "55                      NaN                 NaN                      NaN   \n",
       "56                      NaN                 NaN                      NaN   \n",
       "57                      NaN                 NaN                      NaN   \n",
       "58                      NaN                 NaN                      NaN   \n",
       "59                      NaN                 NaN                      NaN   \n",
       "60                      NaN                 NaN                      NaN   \n",
       "61                      NaN                 NaN                      NaN   \n",
       "62                      NaN                 NaN                      NaN   \n",
       "63                      NaN                 NaN                      NaN   \n",
       "64                      NaN                 NaN                      NaN   \n",
       "65                      NaN                 NaN                      NaN   \n",
       "66                      NaN                 NaN                      NaN   \n",
       "\n",
       "    Policy85_2050  freq85_2050_policy  scenario85_2050  freq85_2050_scenario  \\\n",
       "0             0.0                66.0            107.0                  38.0   \n",
       "1            34.0                66.0            141.0                  38.0   \n",
       "2            20.0                66.0             29.0                  37.0   \n",
       "3            19.0                66.0             44.0                  37.0   \n",
       "4            30.0                66.0            175.0                  36.0   \n",
       "5            26.0                66.0            121.0                  36.0   \n",
       "6             8.0                66.0            151.0                  36.0   \n",
       "7             9.0                65.0             78.0                  36.0   \n",
       "8            10.0                65.0            100.0                  36.0   \n",
       "9            11.0                65.0             31.0                  35.0   \n",
       "10           38.0                65.0             52.0                  35.0   \n",
       "11           44.0                64.0             62.0                  35.0   \n",
       "12           42.0                64.0             84.0                  35.0   \n",
       "13           32.0                63.0             92.0                  35.0   \n",
       "14            7.0                63.0             77.0                  34.0   \n",
       "15           24.0                62.0            179.0                  34.0   \n",
       "16            3.0                62.0            160.0                  34.0   \n",
       "17           27.0                62.0             60.0                  34.0   \n",
       "18            6.0                57.0            119.0                  34.0   \n",
       "19           22.0                56.0            114.0                  34.0   \n",
       "20           14.0                53.0            127.0                  34.0   \n",
       "21           37.0                53.0             91.0                  34.0   \n",
       "22           39.0                52.0             59.0                  33.0   \n",
       "23           35.0                48.0              7.0                  33.0   \n",
       "24           28.0                48.0             72.0                  33.0   \n",
       "25           21.0                39.0             88.0                  33.0   \n",
       "26           31.0                38.0            124.0                  33.0   \n",
       "27           16.0                37.0            108.0                  33.0   \n",
       "28            5.0                37.0             53.0                  33.0   \n",
       "29           13.0                36.0             86.0                  33.0   \n",
       "30           18.0                35.0             80.0                  32.0   \n",
       "31           25.0                34.0            129.0                  32.0   \n",
       "32            2.0                34.0              9.0                  32.0   \n",
       "33           41.0                33.0             25.0                  32.0   \n",
       "34           23.0                32.0             56.0                  32.0   \n",
       "35           43.0                31.0            115.0                  32.0   \n",
       "36           33.0                28.0             57.0                  32.0   \n",
       "37           17.0                28.0            159.0                  32.0   \n",
       "38           15.0                27.0             15.0                  32.0   \n",
       "39           29.0                26.0            187.0                  32.0   \n",
       "40           12.0                26.0            170.0                  32.0   \n",
       "41           40.0                24.0            109.0                  32.0   \n",
       "42            1.0                22.0              4.0                  32.0   \n",
       "43            4.0                19.0            142.0                  31.0   \n",
       "44           36.0                13.0             12.0                  31.0   \n",
       "45            NaN                 NaN            146.0                  31.0   \n",
       "46            NaN                 NaN            118.0                  30.0   \n",
       "47            NaN                 NaN             16.0                  30.0   \n",
       "48            NaN                 NaN            190.0                  30.0   \n",
       "49            NaN                 NaN             36.0                  30.0   \n",
       "50            NaN                 NaN            163.0                  30.0   \n",
       "51            NaN                 NaN            195.0                  30.0   \n",
       "52            NaN                 NaN             45.0                  30.0   \n",
       "53            NaN                 NaN             81.0                  30.0   \n",
       "54            NaN                 NaN             41.0                  30.0   \n",
       "55            NaN                 NaN             93.0                  29.0   \n",
       "56            NaN                 NaN             99.0                  29.0   \n",
       "57            NaN                 NaN            162.0                  29.0   \n",
       "58            NaN                 NaN            158.0                  29.0   \n",
       "59            NaN                 NaN            164.0                  29.0   \n",
       "60            NaN                 NaN            188.0                  29.0   \n",
       "61            NaN                 NaN             39.0                  28.0   \n",
       "62            NaN                 NaN            139.0                  28.0   \n",
       "63            NaN                 NaN             24.0                  27.0   \n",
       "64            NaN                 NaN              1.0                  26.0   \n",
       "65            NaN                 NaN            135.0                  25.0   \n",
       "66            NaN                 NaN              NaN                   NaN   \n",
       "\n",
       "    freq85_tip_all_2070  tippingPoint85_all_2070  freq85_tipacc_2070  \\\n",
       "0                   6.0                    440.0                 2.0   \n",
       "1                   2.0                    438.0                 1.0   \n",
       "2                   5.0                    376.0                 0.0   \n",
       "3                   7.0                    369.0                 NaN   \n",
       "4                   3.0                    320.0                 NaN   \n",
       "5                   1.0                    294.0                 NaN   \n",
       "6                   0.0                    294.0                 NaN   \n",
       "7                   4.0                    268.0                 NaN   \n",
       "8                   8.0                    177.0                 NaN   \n",
       "9                   9.0                     40.0                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint85_acc_2070  Policy85_2070  freq85_2070_policy  \\\n",
       "0                     438.0           19.0                65.0   \n",
       "1                     294.0            0.0                60.0   \n",
       "2                     293.0           26.0                59.0   \n",
       "3                       NaN            8.0                57.0   \n",
       "4                       NaN            9.0                55.0   \n",
       "5                       NaN           20.0                53.0   \n",
       "6                       NaN           30.0                53.0   \n",
       "7                       NaN           34.0                52.0   \n",
       "8                       NaN           44.0                44.0   \n",
       "9                       NaN           11.0                42.0   \n",
       "10                      NaN           10.0                42.0   \n",
       "11                      NaN           32.0                37.0   \n",
       "12                      NaN           38.0                29.0   \n",
       "13                      NaN           42.0                27.0   \n",
       "14                      NaN           24.0                26.0   \n",
       "15                      NaN            7.0                24.0   \n",
       "16                      NaN            6.0                24.0   \n",
       "17                      NaN           27.0                23.0   \n",
       "18                      NaN           22.0                23.0   \n",
       "19                      NaN            3.0                23.0   \n",
       "20                      NaN           37.0                22.0   \n",
       "21                      NaN           14.0                16.0   \n",
       "22                      NaN           35.0                15.0   \n",
       "23                      NaN           39.0                15.0   \n",
       "24                      NaN           28.0                13.0   \n",
       "25                      NaN           31.0                13.0   \n",
       "26                      NaN           13.0                10.0   \n",
       "27                      NaN            2.0                 9.0   \n",
       "28                      NaN           21.0                 9.0   \n",
       "29                      NaN           16.0                 9.0   \n",
       "30                      NaN           18.0                 8.0   \n",
       "31                      NaN           23.0                 8.0   \n",
       "32                      NaN           29.0                 7.0   \n",
       "33                      NaN           33.0                 7.0   \n",
       "34                      NaN           43.0                 7.0   \n",
       "35                      NaN           41.0                 6.0   \n",
       "36                      NaN            5.0                 6.0   \n",
       "37                      NaN           15.0                 5.0   \n",
       "38                      NaN           12.0                 5.0   \n",
       "39                      NaN           25.0                 5.0   \n",
       "40                      NaN           17.0                 4.0   \n",
       "41                      NaN           40.0                 3.0   \n",
       "42                      NaN            1.0                 3.0   \n",
       "43                      NaN            4.0                 2.0   \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             191.0                  22.0  \n",
       "1             131.0                  20.0  \n",
       "2             166.0                  19.0  \n",
       "3              98.0                  19.0  \n",
       "4              65.0                  19.0  \n",
       "5              55.0                  19.0  \n",
       "6              97.0                  19.0  \n",
       "7             148.0                  19.0  \n",
       "8             153.0                  18.0  \n",
       "9             132.0                  18.0  \n",
       "10            137.0                  18.0  \n",
       "11             54.0                  18.0  \n",
       "12             21.0                  18.0  \n",
       "13            194.0                  18.0  \n",
       "14             67.0                  17.0  \n",
       "15            130.0                  17.0  \n",
       "16            171.0                  17.0  \n",
       "17            174.0                  17.0  \n",
       "18             13.0                  17.0  \n",
       "19             63.0                  16.0  \n",
       "20            192.0                  16.0  \n",
       "21              0.0                  16.0  \n",
       "22            105.0                  16.0  \n",
       "23            126.0                  16.0  \n",
       "24             50.0                  16.0  \n",
       "25            102.0                  16.0  \n",
       "26             32.0                  16.0  \n",
       "27             26.0                  16.0  \n",
       "28            157.0                  16.0  \n",
       "29            147.0                  16.0  \n",
       "30             79.0                  16.0  \n",
       "31             19.0                  16.0  \n",
       "32             18.0                  16.0  \n",
       "33            140.0                  15.0  \n",
       "34             20.0                  15.0  \n",
       "35             30.0                  15.0  \n",
       "36             34.0                  15.0  \n",
       "37            189.0                  15.0  \n",
       "38            113.0                  15.0  \n",
       "39            145.0                  14.0  \n",
       "40             82.0                  14.0  \n",
       "41              5.0                  14.0  \n",
       "42             43.0                  14.0  \n",
       "43             27.0                  14.0  \n",
       "44             35.0                  14.0  \n",
       "45            122.0                  14.0  \n",
       "46             38.0                  14.0  \n",
       "47             46.0                  14.0  \n",
       "48            128.0                  14.0  \n",
       "49             47.0                  14.0  \n",
       "50            103.0                  14.0  \n",
       "51             61.0                  13.0  \n",
       "52            155.0                  13.0  \n",
       "53            182.0                  13.0  \n",
       "54             73.0                  13.0  \n",
       "55             48.0                  13.0  \n",
       "56             22.0                  13.0  \n",
       "57            138.0                  13.0  \n",
       "58            112.0                  12.0  \n",
       "59             69.0                  12.0  \n",
       "60            185.0                  12.0  \n",
       "61             75.0                  12.0  \n",
       "62            198.0                  12.0  \n",
       "63             42.0                  11.0  \n",
       "64             90.0                  11.0  \n",
       "65             17.0                  11.0  \n",
       "66            186.0                  10.0  \n",
       "\n",
       "[67 rows x 96 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final_tipping_point_1980_2070.head(67)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "adpation_Option1 = np.array(df_policies['x1SnowThershold'])\n",
    "adpation_Option2 = np.array(df_policies['xGoodDays'])\n",
    "all_Policies = []\n",
    "\n",
    "for i in range(len(adpation_Option1)):\n",
    "    all_Policies.append('P' + '_' + str(int(adpation_Option1[i])) + '_' + str(int(adpation_Option2[i])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#all_Policies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final_tipping_point_1980_2070['Policy26_2020'] = df_final_tipping_point_1980_2070['Policy26_2020'].apply(lambda x: 'Plc_' + str(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final_tipping_point_1980_2070['Policy26_2050'] = df_final_tipping_point_1980_2070['Policy26_2050'].apply(lambda x: 'Plc_' + str(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final_tipping_point_1980_2070['Policy26_2070'] = df_final_tipping_point_1980_2070['Policy26_2070'].apply(lambda x: 'Plc_' + str(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_26 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy26_2020'].to_list()\n",
    "y_26 = df_final_tipping_point_1980_2070.loc[0:44, 'freq26_2020_policy'].to_list()\n",
    "x1_26 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy26_2050'].to_list()\n",
    "y1_26 = df_final_tipping_point_1980_2070.loc[0:44, 'freq26_2050_policy'].to_list()\n",
    "x2_26 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy26_2070'].to_list()\n",
    "y2_26 = df_final_tipping_point_1980_2070.loc[0:44, 'freq26_2070_policy'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_45 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy45_2020'].to_list()\n",
    "y_45 = df_final_tipping_point_1980_2070.loc[0:44, 'freq45_2020_policy'].to_list()\n",
    "x1_45 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy45_2050'].to_list()\n",
    "y1_45 = df_final_tipping_point_1980_2070.loc[0:44, 'freq45_2050_policy'].to_list()\n",
    "x2_45 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy45_2070'].to_list()\n",
    "y2_45 = df_final_tipping_point_1980_2070.loc[0:44, 'freq45_2070_policy'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_85 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy85_2020'].to_list()\n",
    "y_85 = df_final_tipping_point_1980_2070.loc[0:44, 'freq85_2020_policy'].to_list()\n",
    "x1_85 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy85_2050'].to_list()\n",
    "y1_85 = df_final_tipping_point_1980_2070.loc[0:44, 'freq85_2050_policy'].to_list()\n",
    "x2_85 = df_final_tipping_point_1980_2070.loc[0:43, 'Policy85_2070'].to_list()\n",
    "y2_85 = df_final_tipping_point_1980_2070.loc[0:43, 'freq85_2070_policy'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.0,\n",
       " 8.0,\n",
       " 9.0,\n",
       " 11.0,\n",
       " 19.0,\n",
       " 20.0,\n",
       " 26.0,\n",
       " 30.0,\n",
       " 34.0,\n",
       " 32.0,\n",
       " 3.0,\n",
       " 10.0,\n",
       " 22.0,\n",
       " 42.0,\n",
       " 38.0,\n",
       " 7.0,\n",
       " 6.0,\n",
       " 44.0,\n",
       " 27.0,\n",
       " 39.0,\n",
       " 37.0,\n",
       " 24.0,\n",
       " 28.0,\n",
       " 35.0,\n",
       " 14.0,\n",
       " 31.0,\n",
       " 21.0,\n",
       " 16.0,\n",
       " 41.0,\n",
       " 5.0,\n",
       " 13.0,\n",
       " 18.0,\n",
       " 2.0,\n",
       " 23.0,\n",
       " 29.0,\n",
       " 12.0,\n",
       " 33.0,\n",
       " 25.0,\n",
       " 43.0,\n",
       " 17.0,\n",
       " 15.0,\n",
       " 40.0,\n",
       " 4.0,\n",
       " 1.0,\n",
       " 36.0]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 65.0,\n",
       " 65.0,\n",
       " 65.0,\n",
       " 65.0,\n",
       " 65.0,\n",
       " 65.0,\n",
       " 64.0,\n",
       " 63.0,\n",
       " 63.0,\n",
       " 63.0,\n",
       " 62.0,\n",
       " 62.0,\n",
       " 62.0,\n",
       " 61.0,\n",
       " 57.0,\n",
       " 56.0,\n",
       " 54.0,\n",
       " 51.0,\n",
       " 51.0,\n",
       " 49.0,\n",
       " 49.0,\n",
       " 48.0,\n",
       " 47.0,\n",
       " 46.0,\n",
       " 44.0,\n",
       " 43.0,\n",
       " 42.0,\n",
       " 42.0,\n",
       " 40.0,\n",
       " 38.0,\n",
       " 35.0,\n",
       " 30.0,\n",
       " 28.0,\n",
       " 22.0,\n",
       " 22.0,\n",
       " 10.0]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#y.reverse()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_26_arr = np.array(x_26) - 0.25\n",
    "x1_26_arr = np.array(x1_26)\n",
    "x2_26_arr = np.array(x2_26) + 0.25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.25, 37.75, 23.75, 29.75, 19.75, 31.75, 33.75, 18.75, 10.75,\n",
       "       41.75, 43.75,  9.75,  8.75,  7.75,  2.75, 25.75, 26.75, 21.75,\n",
       "       38.75,  5.75, 36.75,  6.75, 27.75, 13.75, 34.75, 20.75, 12.75,\n",
       "       30.75, 40.75,  1.75, 15.75,  4.75, 17.75, 32.75, 42.75, 22.75,\n",
       "       11.75, 28.75, 24.75, 14.75,  3.75, 16.75,  0.75, 39.75, 35.75])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_26_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "title_Figs = 'case6_Davos Jakobhorn, elv_b 2140m'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig35, ax1 = plt.subplots(figsize=(20,7.5))\n",
    "\n",
    "width = 0.25\n",
    "\n",
    "ax1.bar(x_26_arr, y_26, width = width, color = 'Blue', label = \"2020\")\n",
    "ax1.bar(x1_26_arr, y1_26, width = width, color = 'Green', label = \"2050\")\n",
    "ax1.bar(x2_26_arr, y2_26, width = width, color = 'Red', label = \"2070\")\n",
    "\n",
    "\n",
    "#X-Axis\n",
    "xticks = np.arange(0, 45, 1)\n",
    "ax1.set_xticks(xticks)\n",
    "#ax1.set_xticks(xticks, all_Policies)\n",
    "\n",
    "xlabels = all_Policies\n",
    "#ax1.set_xticklabels(xlabels)\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10, ha=\"right\", rotation_mode=\"anchor\")\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10)\n",
    "plt.xticks(xticks, xlabels, fontsize=16)\n",
    "plt.setp(ax1.get_xticklabels(), rotation=90, size = 10)\n",
    "\n",
    "\n",
    "\n",
    "#Y-Axis\n",
    "yticks = np.arange(0, 70, 3)\n",
    "#ax1.set_yticks(yticks)\n",
    "#plt.setp(ax1.get_yticklabels(), rotation=0, size = 15, ha=\"right\", rotation_mode=\"anchor\")\n",
    "\n",
    "ax1.set_yticks(yticks)\n",
    "ax1.set_title(title_Figs + ', RCP2.6', size = 30)\n",
    "ax1.set_xlabel('45 Adaptation Options', size = 20)\n",
    "ax1.set_ylabel('Frequency', size = 20)\n",
    "\n",
    "\n",
    "ax1.axhline(y=67, color='green', alpha=0.8)\n",
    "ax1.axhline(y=50, color='orange', alpha=0.8)\n",
    "ax1.axhline(y=33, color='orange', alpha=0.8)\n",
    "ax1.axhline(y=16, color='red', alpha=0.8)\n",
    "#ax1.set_ylim(bottom=0, top =70)\n",
    "#ax1.y_axis = np.arange(0, 70)\n",
    "\n",
    "fig35.savefig(os.path.join(rootOut, 'tipping_point_All_new_3_RCP26.tiff'), format='tiff', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_45_arr = np.array(x_45) - 0.25\n",
    "x1_45_arr = np.array(x1_45)\n",
    "x2_45_arr = np.array(x2_45) + 0.25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 66.0,\n",
       " 65.0,\n",
       " 65.0,\n",
       " 60.0,\n",
       " 60.0,\n",
       " 57.0,\n",
       " 55.0,\n",
       " 55.0,\n",
       " 55.0,\n",
       " 54.0,\n",
       " 54.0,\n",
       " 52.0,\n",
       " 50.0,\n",
       " 47.0,\n",
       " 46.0,\n",
       " 41.0,\n",
       " 41.0,\n",
       " 32.0,\n",
       " 29.0,\n",
       " 29.0,\n",
       " 27.0,\n",
       " 27.0,\n",
       " 24.0,\n",
       " 24.0,\n",
       " 24.0,\n",
       " 24.0,\n",
       " 24.0,\n",
       " 22.0,\n",
       " 22.0,\n",
       " 21.0,\n",
       " 20.0,\n",
       " 20.0,\n",
       " 18.0,\n",
       " 18.0,\n",
       " 18.0,\n",
       " 17.0,\n",
       " 15.0,\n",
       " 10.0]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_45"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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='orange', 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": [
       "[65.0,\n",
       " 60.0,\n",
       " 59.0,\n",
       " 57.0,\n",
       " 55.0,\n",
       " 53.0,\n",
       " 53.0,\n",
       " 52.0,\n",
       " 44.0,\n",
       " 42.0,\n",
       " 42.0,\n",
       " 37.0,\n",
       " 29.0,\n",
       " 27.0,\n",
       " 26.0,\n",
       " 24.0,\n",
       " 24.0,\n",
       " 23.0,\n",
       " 23.0,\n",
       " 23.0,\n",
       " 22.0,\n",
       " 16.0,\n",
       " 15.0,\n",
       " 15.0,\n",
       " 13.0,\n",
       " 13.0,\n",
       " 10.0,\n",
       " 9.0,\n",
       " 9.0,\n",
       " 9.0,\n",
       " 8.0,\n",
       " 8.0,\n",
       " 7.0,\n",
       " 7.0,\n",
       " 7.0,\n",
       " 6.0,\n",
       " 6.0,\n",
       " 5.0,\n",
       " 5.0,\n",
       " 5.0,\n",
       " 4.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 2.0]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([19.25,  0.25, 26.25,  8.25,  9.25, 20.25, 30.25, 34.25, 44.25,\n",
       "       11.25, 10.25, 32.25, 38.25, 42.25, 24.25,  7.25,  6.25, 27.25,\n",
       "       22.25,  3.25, 37.25, 14.25, 35.25, 39.25, 28.25, 31.25, 13.25,\n",
       "        2.25, 21.25, 16.25, 18.25, 23.25, 29.25, 33.25, 43.25, 41.25,\n",
       "        5.25, 15.25, 12.25, 25.25, 17.25, 40.25,  1.25,  4.25])"
      ]
     },
     "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='orange', alpha=0.8)\n",
    "ax1.axhline(y=33, color='orange', alpha=0.8)\n",
    "ax1.axhline(y=16, color='red', alpha=0.8)\n",
    "#ax1.set_ylim(bottom=0, top =70)\n",
    "#ax1.y_axis = np.arange(0, 70)\n",
    "fig37.savefig(os.path.join(rootOut, 'tipping_point_All_new_3_RCP85.tiff'), format='tiff', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python3_UZH",
   "language": "python",
   "name": "python3_uzh"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}