tipping_points_case6_Davos Jakobhorn_b1560.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import os.path\n",
    "import random\n",
    "from operator import add\n",
    "from datetime import datetime, date, timedelta\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import shutil\n",
    "import time\n",
    "\n",
    "from scipy.integrate import simps\n",
    "from numpy import trapz\n",
    "from decimal import Decimal, ROUND_DOWN, ROUND_UP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns',69)\n",
    "pd.set_option('display.max_rows',119)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load the data\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case1_sattel-hochstuckli\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case2_Atzmaening\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case3_hoch-ybrig\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case4_villars-diablerets_elevations_b1339\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case4_villars-diablerets_elevations_b1822\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case4_villars-diablerets_elevations_b2000\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case4_villars-diablerets_elevations_b2500\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case5_champex\\setup1'\n",
    "root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case6_davos_elevations_b1564\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case6_davos_elevations_b2141\\setup1'\n",
    "#root = r'C:\\Saeid\\Prj100\\SA_2\\snowModelUZH\\case6_davos_elevations_b2584\\setup1'\n",
    "\n",
    "rootOut = os.path.join(root, 'Results_3')\n",
    "df_final_tipping_point_1980 = pd.read_csv(os.path.join(rootOut, 'df_final_tipping_point_1980.csv'))\n",
    "df_final_tipping_point_2020 = pd.read_csv(os.path.join(rootOut, 'df_final_tipping_point_2020.csv'))\n",
    "df_final_tipping_point_2050 = pd.read_csv(os.path.join(rootOut, 'df_final_tipping_point_2050.csv'))\n",
    "df_final_tipping_point_2070 = pd.read_csv(os.path.join(rootOut, 'df_final_tipping_point_2070.csv'))\n",
    "\n",
    "df_policies = pd.read_csv(os.path.join(rootOut, 'df_policies.csv'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tippingPoint26_1980</th>\n",
       "      <th>tippingPoint26_1_1980</th>\n",
       "      <th>scenario26_1980</th>\n",
       "      <th>policy26_1980</th>\n",
       "      <th>tippingPoint45_1980</th>\n",
       "      <th>tippingPoint45_1_1980</th>\n",
       "      <th>scenario45_1980</th>\n",
       "      <th>policy45_1980</th>\n",
       "      <th>tippingPoint85_1980</th>\n",
       "      <th>tippingPoint85_1_1980</th>\n",
       "      <th>scenario85_1980</th>\n",
       "      <th>policy85_1980</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</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>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>177.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3012</th>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</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>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>188.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3013</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</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>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>192.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3014</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3015</th>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>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                    1.0              0.0   \n",
       "1                     1.0                    0.0              0.0   \n",
       "2                     0.0                    1.0              0.0   \n",
       "3                     1.0                    0.0              0.0   \n",
       "4                     0.0                    1.0              0.0   \n",
       "...                   ...                    ...              ...   \n",
       "3011                  2.0                    3.0             44.0   \n",
       "3012                  3.0                    2.0             44.0   \n",
       "3013                  2.0                    2.0             44.0   \n",
       "3014                  2.0                    1.0             44.0   \n",
       "3015                  1.0                    NaN              NaN   \n",
       "\n",
       "      policy26_1980  tippingPoint45_1980  tippingPoint45_1_1980  \\\n",
       "0               0.0                  0.0                    1.0   \n",
       "1               4.0                  1.0                    1.0   \n",
       "2               8.0                  1.0                    1.0   \n",
       "3              12.0                  1.0                    0.0   \n",
       "4              17.0                  0.0                    0.0   \n",
       "...             ...                  ...                    ...   \n",
       "3011          191.0                  NaN                    NaN   \n",
       "3012          193.0                  NaN                    NaN   \n",
       "3013          197.0                  NaN                    NaN   \n",
       "3014          198.0                  NaN                    NaN   \n",
       "3015            NaN                  NaN                    NaN   \n",
       "\n",
       "      scenario45_1980  policy45_1980  tippingPoint85_1980  \\\n",
       "0                 0.0           10.0                  0.0   \n",
       "1                 0.0           11.0                  0.0   \n",
       "2                 0.0           13.0                  1.0   \n",
       "3                 0.0           14.0                  0.0   \n",
       "4                 0.0           16.0                  1.0   \n",
       "...               ...            ...                  ...   \n",
       "3011              NaN            NaN                  0.0   \n",
       "3012              NaN            NaN                  3.0   \n",
       "3013              NaN            NaN                  5.0   \n",
       "3014              NaN            NaN                  3.0   \n",
       "3015              NaN            NaN                  1.0   \n",
       "\n",
       "      tippingPoint85_1_1980  scenario85_1980  policy85_1980  \n",
       "0                       0.0              0.0            1.0  \n",
       "1                       1.0              0.0            2.0  \n",
       "2                       0.0              0.0            3.0  \n",
       "3                       1.0              0.0            5.0  \n",
       "4                       2.0              0.0            6.0  \n",
       "...                     ...              ...            ...  \n",
       "3011                    3.0             44.0          177.0  \n",
       "3012                    5.0             44.0          188.0  \n",
       "3013                    3.0             44.0          192.0  \n",
       "3014                    1.0             44.0          195.0  \n",
       "3015                    NaN              NaN            NaN  \n",
       "\n",
       "[3016 rows x 12 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final_tipping_point_1980"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#####Scenario_26####\n",
    "\n",
    "tippingPoint26_All_1980 = df_final_tipping_point_1980['tippingPoint26_1980'].value_counts()\n",
    "tippingPoint26_Accepted_1980 = df_final_tipping_point_1980['tippingPoint26_1_1980'].value_counts()\n",
    "scenario26_1980 = df_final_tipping_point_1980['scenario26_1980'].value_counts()\n",
    "policy26_1980 = df_final_tipping_point_1980['policy26_1980'].value_counts()\n",
    "\n",
    "tippingPoint26_All_2020 = df_final_tipping_point_2020['tippingPoint26_2020'].value_counts()\n",
    "tippingPoint26_Accepted_2020 = df_final_tipping_point_2020['tippingPoint26_1_2020'].value_counts()\n",
    "scenario26_2020 = df_final_tipping_point_2020['scenario26_2020'].value_counts()\n",
    "policy26_2020 = df_final_tipping_point_2020['policy26_2020'].value_counts()\n",
    "\n",
    "tippingPoint26_All_2050 = df_final_tipping_point_2050['tippingPoint26_2050'].value_counts()\n",
    "tippingPoint26_Accepted_2050 = df_final_tipping_point_2050['tippingPoint26_1_2050'].value_counts()\n",
    "scenario26_2050 = df_final_tipping_point_2050['scenario26_2050'].value_counts()\n",
    "policy26_2050 = df_final_tipping_point_2050['policy26_2050'].value_counts()\n",
    "\n",
    "tippingPoint26_All_2070 = df_final_tipping_point_2070['tippingPoint26_2070'].value_counts()\n",
    "tippingPoint26_Accepted_2070 = df_final_tipping_point_2070['tippingPoint26_1_2070'].value_counts()\n",
    "scenario26_2070 = df_final_tipping_point_2070['scenario26_2070'].value_counts()\n",
    "policy26_2070 = df_final_tipping_point_2070['policy26_2070'].value_counts()\n",
    "\n",
    "#####Scenario_45####\n",
    "\n",
    "tippingPoint45_All_1980 = df_final_tipping_point_1980['tippingPoint45_1980'].value_counts()\n",
    "tippingPoint45_Accepted_1980 = df_final_tipping_point_1980['tippingPoint45_1_1980'].value_counts()\n",
    "scenario45_1980 = df_final_tipping_point_1980['scenario45_1980'].value_counts()\n",
    "policy45_1980 = df_final_tipping_point_1980['policy45_1980'].value_counts()\n",
    "\n",
    "tippingPoint45_All_2020 = df_final_tipping_point_2020['tippingPoint45_2020'].value_counts()\n",
    "tippingPoint45_Accepted_2020 = df_final_tipping_point_2020['tippingPoint45_1_2020'].value_counts()\n",
    "scenario45_2020 = df_final_tipping_point_2020['scenario45_2020'].value_counts()\n",
    "policy45_2020 = df_final_tipping_point_2020['policy45_2020'].value_counts()\n",
    "\n",
    "tippingPoint45_All_2050 = df_final_tipping_point_2050['tippingPoint45_2050'].value_counts()\n",
    "tippingPoint45_Accepted_2050 = df_final_tipping_point_2050['tippingPoint45_1_2050'].value_counts()\n",
    "scenario45_2050 = df_final_tipping_point_2050['scenario45_2050'].value_counts()\n",
    "policy45_2050 = df_final_tipping_point_2050['policy45_2050'].value_counts()\n",
    "\n",
    "tippingPoint45_All_2070 = df_final_tipping_point_2070['tippingPoint45_2070'].value_counts()\n",
    "tippingPoint45_Accepted_2070 = df_final_tipping_point_2070['tippingPoint45_1_2070'].value_counts()\n",
    "scenario45_2070 = df_final_tipping_point_2070['scenario45_2070'].value_counts()\n",
    "policy45_2070 = df_final_tipping_point_2070['policy45_2070'].value_counts()\n",
    "\n",
    "#####Scenario_85####\n",
    "\n",
    "tippingPoint85_All_1980 = df_final_tipping_point_1980['tippingPoint85_1980'].value_counts()\n",
    "tippingPoint85_Accepted_1980 = df_final_tipping_point_1980['tippingPoint85_1_1980'].value_counts()\n",
    "scenario85_1980 = df_final_tipping_point_1980['scenario85_1980'].value_counts()\n",
    "policy85_1980 = df_final_tipping_point_1980['policy85_1980'].value_counts()\n",
    "\n",
    "tippingPoint85_All_2020 = df_final_tipping_point_2020['tippingPoint85_2020'].value_counts()\n",
    "tippingPoint85_Accepted_2020 = df_final_tipping_point_2020['tippingPoint85_1_2020'].value_counts()\n",
    "scenario85_2020 = df_final_tipping_point_2020['scenario85_2020'].value_counts()\n",
    "policy85_2020 = df_final_tipping_point_2020['policy85_2020'].value_counts()\n",
    "\n",
    "tippingPoint85_All_2050 = df_final_tipping_point_2050['tippingPoint85_2050'].value_counts()\n",
    "tippingPoint85_Accepted_2050 = df_final_tipping_point_2050['tippingPoint85_1_2050'].value_counts()\n",
    "scenario85_2050 = df_final_tipping_point_2050['scenario85_2050'].value_counts()\n",
    "policy85_2050 = df_final_tipping_point_2050['policy85_2050'].value_counts()\n",
    "\n",
    "tippingPoint85_All_2070 = df_final_tipping_point_2070['tippingPoint85_2070'].value_counts()\n",
    "tippingPoint85_Accepted_2070 = df_final_tipping_point_2070['tippingPoint85_1_2070'].value_counts()\n",
    "scenario85_2070 = df_final_tipping_point_2070['scenario85_2070'].value_counts()\n",
    "policy85_2070 = df_final_tipping_point_2070['policy85_2070'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "a1 = pd.DataFrame(tippingPoint26_All_1980.reset_index().values, columns=[\"freq26_tip_all_1980\", \"tippingPoint26_all_1980\"])\n",
    "a2 = pd.DataFrame(tippingPoint26_Accepted_1980.reset_index().values, columns=[\"freq26_tipacc_1980\", \"tippingPoint26_acc_1980\"])\n",
    "a3 = pd.DataFrame(scenario26_1980.reset_index().values, columns=[\"Policy26_1980\", \"freq26_1980_policy\"])\n",
    "a4 = pd.DataFrame(policy26_1980.reset_index().values, columns=[\"scenario26_1980\", \"freq26_1980_scenario\"])\n",
    "\n",
    "a5 = pd.DataFrame(tippingPoint26_All_2020.reset_index().values, columns=[\"freq26_tip_all_2020\", \"tippingPoint26_all_2020\"])\n",
    "a6 = pd.DataFrame(tippingPoint26_Accepted_2020.reset_index().values, columns=[\"freq26_tipacc_2020\", \"tippingPoint26_acc_2020\"])\n",
    "a7 = pd.DataFrame(scenario26_2020.reset_index().values, columns=[\"Policy26_2020\", \"freq26_2020_policy\"])\n",
    "a8 = pd.DataFrame(policy26_2020.reset_index().values, columns=[\"scenario26_2020\", \"freq26_2020_scenario\"])\n",
    "\n",
    "a9 = pd.DataFrame(tippingPoint26_All_2050.reset_index().values, columns=[\"freq26_tip_all_2050\", \"tippingPoint26_all_2050\"])\n",
    "a10 = pd.DataFrame(tippingPoint26_Accepted_2050.reset_index().values, columns=[\"freq26_tipacc_2050\", \"tippingPoint26_acc_2050\"])\n",
    "a11 = pd.DataFrame(scenario26_2050.reset_index().values, columns=[\"Policy26_2050\", \"freq26_2050_policy\"])\n",
    "a12 = pd.DataFrame(policy26_2050.reset_index().values, columns=[\"scenario26_2050\", \"freq26_2050_scenario\"])\n",
    "\n",
    "a13 = pd.DataFrame(tippingPoint26_All_2070.reset_index().values, columns=[\"freq26_tip_all_2070\", \"tippingPoint26_all_2070\"])\n",
    "a14 = pd.DataFrame(tippingPoint26_Accepted_2070.reset_index().values, columns=[\"freq26_tipacc_2070\", \"tippingPoint26_acc_2070\"])\n",
    "a15 = pd.DataFrame(scenario26_2070.reset_index().values, columns=[\"Policy26_2070\", \"freq26_2070_policy\"])\n",
    "a16 = pd.DataFrame(policy26_2070.reset_index().values, columns=[\"scenario26_2070\", \"freq26_2070_scenario\"])\n",
    "\n",
    "b1= pd.DataFrame(tippingPoint45_All_1980.reset_index().values, columns=[\"freq45_tip_all_1980\", \"tippingPoint45_all_1980\"])\n",
    "b2= pd.DataFrame(tippingPoint45_Accepted_1980.reset_index().values, columns=[\"freq45_tipacc_1980\", \"tippingPoint45_acc_1980\"])\n",
    "b3= pd.DataFrame(scenario45_1980.reset_index().values, columns=[\"Policy45_1980\", \"freq45_1980_policy\"])\n",
    "b4= pd.DataFrame(policy45_1980.reset_index().values, columns=[\"scenario45_1980\", \"freq45_1980_scenario\"])\n",
    "\n",
    "b5 = pd.DataFrame(tippingPoint45_All_2020.reset_index().values, columns=[\"freq45_tip_all_2020\", \"tippingPoint45_all_2020\"])\n",
    "b6 = pd.DataFrame(tippingPoint45_Accepted_2020.reset_index().values, columns=[\"freq45_tipacc_2020\", \"tippingPoint45_acc_2020\"])\n",
    "b7 = pd.DataFrame(scenario45_2020.reset_index().values, columns=[\"Policy45_2020\", \"freq45_2020_policy\"])\n",
    "b8 = pd.DataFrame(policy45_2020.reset_index().values, columns=[\"scenario45_2020\", \"freq45_2020_scenario\"])\n",
    "\n",
    "b9 = pd.DataFrame(tippingPoint45_All_2050.reset_index().values, columns=[\"freq45_tip_all_2050\", \"tippingPoint45_all_2050\"])\n",
    "b10 = pd.DataFrame(tippingPoint45_Accepted_2050.reset_index().values, columns=[\"freq45_tipacc_2050\", \"tippingPoint45_acc_2050\"])\n",
    "b11 = pd.DataFrame(scenario45_2050.reset_index().values, columns=[\"Policy45_2050\", \"freq45_2050_policy\"])\n",
    "b12 = pd.DataFrame(policy45_2050.reset_index().values, columns=[\"scenario45_2050\", \"freq45_2050_scenario\"])\n",
    "\n",
    "b13 = pd.DataFrame(tippingPoint45_All_2070.reset_index().values, columns=[\"freq45_tip_all_2070\", \"tippingPoint45_all_2070\"])\n",
    "b14 = pd.DataFrame(tippingPoint45_Accepted_2070.reset_index().values, columns=[\"freq45_tipacc_2070\", \"tippingPoint45_acc_2070\"])\n",
    "b15 = pd.DataFrame(scenario45_2070.reset_index().values, columns=[\"Policy45_2070\", \"freq45_2070_policy\"])\n",
    "b16 = pd.DataFrame(policy45_2070.reset_index().values, columns=[\"scenario45_2070\", \"freq45_2070_scenario\"])\n",
    "\n",
    "c1= pd.DataFrame(tippingPoint45_All_1980.reset_index().values, columns=[\"freq85_tip_all_1980\", \"tippingPoint85_all_1980\"])\n",
    "c2= pd.DataFrame(tippingPoint45_Accepted_1980.reset_index().values, columns=[\"freq85_tipacc_1980\", \"tippingPoint85_acc_1980\"])\n",
    "c3= pd.DataFrame(scenario45_1980.reset_index().values, columns=[\"Policy85_1980\", \"freq85_1980_policy\"])\n",
    "c4= pd.DataFrame(policy45_1980.reset_index().values, columns=[\"scenario85_1980\", \"freq85_1980_scenario\"])\n",
    "\n",
    "c5 = pd.DataFrame(tippingPoint45_All_2020.reset_index().values, columns=[\"freq85_tip_all_2020\", \"tippingPoint85_all_2020\"])\n",
    "c6 = pd.DataFrame(tippingPoint45_Accepted_2020.reset_index().values, columns=[\"freq85_tipacc_2020\", \"tippingPoint85_acc_2020\"])\n",
    "c7 = pd.DataFrame(scenario45_2020.reset_index().values, columns=[\"Policy85_2020\", \"freq85_2020_policy\"])\n",
    "c8 = pd.DataFrame(policy45_2020.reset_index().values, columns=[\"scenario85_2020\", \"freq85_2020_scenario\"])\n",
    "\n",
    "c9 = pd.DataFrame(tippingPoint45_All_2050.reset_index().values, columns=[\"freq85_tip_all_2050\", \"tippingPoint85_all_2050\"])\n",
    "c10 = pd.DataFrame(tippingPoint45_Accepted_2050.reset_index().values, columns=[\"freq85_tipacc_2050\", \"tippingPoint85_acc_2050\"])\n",
    "c11 = pd.DataFrame(scenario45_2050.reset_index().values, columns=[\"Policy85_2050\", \"freq85_2050_policy\"])\n",
    "c12 = pd.DataFrame(policy45_2050.reset_index().values, columns=[\"scenario85_2050\", \"freq85_2050_scenario\"])\n",
    "\n",
    "c13 = pd.DataFrame(tippingPoint85_All_2070.reset_index().values, columns=[\"freq85_tip_all_2070\", \"tippingPoint85_all_2070\"])\n",
    "c14 = pd.DataFrame(tippingPoint85_Accepted_2070.reset_index().values, columns=[\"freq85_tipacc_2070\", \"tippingPoint85_acc_2070\"])\n",
    "c15 = pd.DataFrame(scenario85_2070.reset_index().values, columns=[\"Policy85_2070\", \"freq85_2070_policy\"])\n",
    "c16 = pd.DataFrame(policy85_2070.reset_index().values, columns=[\"scenario85_2070\", \"freq85_2070_scenario\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final_tipping_point_1980_2070 = pd.concat((a1, a2, a3, a4, a5, a6, a7, a8, a9, a10, a11, a12, a13, a14, a15, a16,\n",
    "                                             b1, b2, b3, b4, b5, b6, b7, b8, b9, b10, b11, b12, b13, b14, b15, b16,\n",
    "                                             c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16), axis = 1)\n",
    "df_final_tipping_point_1980_2070.to_csv(os.path.join(rootOut, 'df_final_tipping_point_1980_2070.csv'), index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(67, 96)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final_tipping_point_1980_2070.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>freq26_tip_all_1980</th>\n",
       "      <th>tippingPoint26_all_1980</th>\n",
       "      <th>freq26_tipacc_1980</th>\n",
       "      <th>tippingPoint26_acc_1980</th>\n",
       "      <th>Policy26_1980</th>\n",
       "      <th>freq26_1980_policy</th>\n",
       "      <th>scenario26_1980</th>\n",
       "      <th>freq26_1980_scenario</th>\n",
       "      <th>freq26_tip_all_2020</th>\n",
       "      <th>tippingPoint26_all_2020</th>\n",
       "      <th>freq26_tipacc_2020</th>\n",
       "      <th>tippingPoint26_acc_2020</th>\n",
       "      <th>Policy26_2020</th>\n",
       "      <th>freq26_2020_policy</th>\n",
       "      <th>scenario26_2020</th>\n",
       "      <th>freq26_2020_scenario</th>\n",
       "      <th>freq26_tip_all_2050</th>\n",
       "      <th>tippingPoint26_all_2050</th>\n",
       "      <th>freq26_tipacc_2050</th>\n",
       "      <th>tippingPoint26_acc_2050</th>\n",
       "      <th>Policy26_2050</th>\n",
       "      <th>freq26_2050_policy</th>\n",
       "      <th>scenario26_2050</th>\n",
       "      <th>freq26_2050_scenario</th>\n",
       "      <th>freq26_tip_all_2070</th>\n",
       "      <th>tippingPoint26_all_2070</th>\n",
       "      <th>freq26_tipacc_2070</th>\n",
       "      <th>tippingPoint26_acc_2070</th>\n",
       "      <th>Policy26_2070</th>\n",
       "      <th>freq26_2070_policy</th>\n",
       "      <th>scenario26_2070</th>\n",
       "      <th>freq26_2070_scenario</th>\n",
       "      <th>freq45_tip_all_1980</th>\n",
       "      <th>tippingPoint45_all_1980</th>\n",
       "      <th>...</th>\n",
       "      <th>scenario45_2070</th>\n",
       "      <th>freq45_2070_scenario</th>\n",
       "      <th>freq85_tip_all_1980</th>\n",
       "      <th>tippingPoint85_all_1980</th>\n",
       "      <th>freq85_tipacc_1980</th>\n",
       "      <th>tippingPoint85_acc_1980</th>\n",
       "      <th>Policy85_1980</th>\n",
       "      <th>freq85_1980_policy</th>\n",
       "      <th>scenario85_1980</th>\n",
       "      <th>freq85_1980_scenario</th>\n",
       "      <th>freq85_tip_all_2020</th>\n",
       "      <th>tippingPoint85_all_2020</th>\n",
       "      <th>freq85_tipacc_2020</th>\n",
       "      <th>tippingPoint85_acc_2020</th>\n",
       "      <th>Policy85_2020</th>\n",
       "      <th>freq85_2020_policy</th>\n",
       "      <th>scenario85_2020</th>\n",
       "      <th>freq85_2020_scenario</th>\n",
       "      <th>freq85_tip_all_2050</th>\n",
       "      <th>tippingPoint85_all_2050</th>\n",
       "      <th>freq85_tipacc_2050</th>\n",
       "      <th>tippingPoint85_acc_2050</th>\n",
       "      <th>Policy85_2050</th>\n",
       "      <th>freq85_2050_policy</th>\n",
       "      <th>scenario85_2050</th>\n",
       "      <th>freq85_2050_scenario</th>\n",
       "      <th>freq85_tip_all_2070</th>\n",
       "      <th>tippingPoint85_all_2070</th>\n",
       "      <th>freq85_tipacc_2070</th>\n",
       "      <th>tippingPoint85_acc_2070</th>\n",
       "      <th>Policy85_2070</th>\n",
       "      <th>freq85_2070_policy</th>\n",
       "      <th>scenario85_2070</th>\n",
       "      <th>freq85_2070_scenario</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>909.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>908.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>435.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>434.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>398.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>371.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>...</td>\n",
       "      <td>86.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>476.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1266.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>528.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>528.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>359.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>359.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>387.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>338.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>...</td>\n",
       "      <td>167.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>635.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>634.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>359.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>359.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>752.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>523.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>523.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>395.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>395.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>348.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>371.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>274.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>...</td>\n",
       "      <td>168.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>490.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>351.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>443.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>304.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>364.0</td>\n",
       "      <td>...</td>\n",
       "      <td>57.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>364.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>364.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>337.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>337.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>393.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.0</td>\n",
       "      <td>283.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>283.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>354.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>304.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>339.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>361.0</td>\n",
       "      <td>...</td>\n",
       "      <td>14.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>361.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>361.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>336.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>336.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>311.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>293.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>...</td>\n",
       "      <td>176.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>297.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>274.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>...</td>\n",
       "      <td>125.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>...</td>\n",
       "      <td>70.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>241.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>161.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>3.0</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>128.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>185.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>3.0</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>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>23.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>66.0</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>21.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>3.0</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>112.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>186.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>138.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>66.0</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>41.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>67.0</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>34.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>3.0</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>104.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>69.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>3.0</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>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>41.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>112.0</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>50.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>57.0</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>24.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>3.0</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>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>19.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>32.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>55.0</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>19.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>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>3.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>180.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</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>3.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>89.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>77.0</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>23.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>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>35.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>49.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>153.0</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>22.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>31.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>156.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>50.0</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>31.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>103.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>136.0</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>19.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.0</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>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>16.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>162.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>32.0</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>18.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>2.0</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>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>44.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>123.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>31.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>134.0</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>17.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>2.0</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>34.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>120.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>66.0</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>37.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>126.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>76.0</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>15.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>122.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>134.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>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>5.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>22.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>54.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>156.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>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>30.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>85.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>13.0</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>25.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>177.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>67.0</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>1.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>153.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>66.0</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>30.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>163.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>67.0</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>17.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>155.0</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>22.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>77.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>79.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>67.0</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>32.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>48.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>149.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>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>6.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>68.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>151.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>136.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>40.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>129.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>20.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>66.0</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>40.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>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>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>184.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>182.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.0</td>\n",
       "      <td>1.0</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>34.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>111.0</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>12.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>63.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.0</td>\n",
       "      <td>1.0</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>105.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>171.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</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>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>36.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>100.0</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>9.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>71.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>173.0</td>\n",
       "      <td>1.0</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>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>2.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>113.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109.0</td>\n",
       "      <td>1.0</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>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>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>59.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>188.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>165.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</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>61.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>114.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>82.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>97.0</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>82.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>27.0</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>190.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>49.0</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>89.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>147.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>84.0</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>34.0</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>12.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>26.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.0</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>157.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>117.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>144.0</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>58.0</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>191.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>35.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</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>71.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>192.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>190.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.0</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>96.0</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>165.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>196.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>69.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>134.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81.0</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>191.0</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>198.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>52.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>38.0</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>76.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>186.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>186.0</td>\n",
       "      <td>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>116.0</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>190.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>164.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>162.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>176.0</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>67.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>121.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>65.0</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>50.0</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>61.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>38.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>157.0</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>87.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>55.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95.0</td>\n",
       "      <td>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>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>44.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>76.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>113.0</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>63.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>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>187.0</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>58.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>67.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>138.0</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>130.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>45.0</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>197.0</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>55.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>139.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>162.0</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>16.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>183.0</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>65.0</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>23.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>161.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>52.0</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>52.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>187.0</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>8.0</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>29.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>118.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>139.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>165.0</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>37.0</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>187.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>130.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>82.0</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>196.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>137.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.0</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>81.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>157.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>54.0</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>161.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>50.0</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>95.0</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>104.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>171.0</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>40.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>191.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>191.0</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>55.0</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>197.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>87.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>175.0</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>46.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>155.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>135.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>185.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>199.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <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>155.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</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>96.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>194.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>103.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>184.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <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>198.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>199.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>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>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>194.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <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>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>189.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.0</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>21.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>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>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.0</td>\n",
       "      <td>14.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>67 rows × 96 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    freq26_tip_all_1980  tippingPoint26_all_1980  freq26_tipacc_1980  \\\n",
       "0                   0.0                    909.0                 0.0   \n",
       "1                   2.0                    528.0                 2.0   \n",
       "2                   1.0                    523.0                 1.0   \n",
       "3                   4.0                    287.0                 4.0   \n",
       "4                   3.0                    283.0                 3.0   \n",
       "5                   5.0                    277.0                 5.0   \n",
       "6                   6.0                    153.0                 6.0   \n",
       "7                   7.0                     47.0                 7.0   \n",
       "8                   8.0                      9.0                 8.0   \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                     908.0           43.0                67.0   \n",
       "1                     528.0           21.0                67.0   \n",
       "2                     523.0           19.0                67.0   \n",
       "3                     287.0           18.0                67.0   \n",
       "4                     283.0           17.0                67.0   \n",
       "5                     277.0           16.0                67.0   \n",
       "6                     153.0           15.0                67.0   \n",
       "7                      47.0           14.0                67.0   \n",
       "8                       9.0           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             181.0                  45.0                  0.0   \n",
       "1              84.0                  45.0                  3.0   \n",
       "2             169.0                  45.0                  2.0   \n",
       "3              65.0                  45.0                  1.0   \n",
       "4             189.0                  45.0                  5.0   \n",
       "5             179.0                  45.0                  6.0   \n",
       "6             137.0                  45.0                  4.0   \n",
       "7             160.0                  45.0                  7.0   \n",
       "8             144.0                  45.0                  8.0   \n",
       "9             128.0                  45.0                  9.0   \n",
       "10            116.0                  45.0                  NaN   \n",
       "11            112.0                  45.0                  NaN   \n",
       "12            104.0                  45.0                  NaN   \n",
       "13            100.0                  45.0                  NaN   \n",
       "14             96.0                  45.0                  NaN   \n",
       "15             88.0                  45.0                  NaN   \n",
       "16             64.0                  45.0                  NaN   \n",
       "17            170.0                  45.0                  NaN   \n",
       "18             58.0                  45.0                  NaN   \n",
       "19             50.0                  45.0                  NaN   \n",
       "20             46.0                  45.0                  NaN   \n",
       "21             44.0                  45.0                  NaN   \n",
       "22             36.0                  45.0                  NaN   \n",
       "23             34.0                  45.0                  NaN   \n",
       "24             29.0                  45.0                  NaN   \n",
       "25             27.0                  45.0                  NaN   \n",
       "26             25.0                  45.0                  NaN   \n",
       "27             23.0                  45.0                  NaN   \n",
       "28             17.0                  45.0                  NaN   \n",
       "29             12.0                  45.0                  NaN   \n",
       "30              8.0                  45.0                  NaN   \n",
       "31              4.0                  45.0                  NaN   \n",
       "32             91.0                  45.0                  NaN   \n",
       "33            119.0                  45.0                  NaN   \n",
       "34            143.0                  45.0                  NaN   \n",
       "35             66.0                  45.0                  NaN   \n",
       "36            174.0                  45.0                  NaN   \n",
       "37            127.0                  45.0                  NaN   \n",
       "38            178.0                  45.0                  NaN   \n",
       "39            197.0                  45.0                  NaN   \n",
       "40             95.0                  45.0                  NaN   \n",
       "41            105.0                  45.0                  NaN   \n",
       "42            175.0                  45.0                  NaN   \n",
       "43             83.0                  45.0                  NaN   \n",
       "44            183.0                  45.0                  NaN   \n",
       "45            165.0                  45.0                  NaN   \n",
       "46            172.0                  45.0                  NaN   \n",
       "47            114.0                  45.0                  NaN   \n",
       "48             74.0                  45.0                  NaN   \n",
       "49            190.0                  45.0                  NaN   \n",
       "50             61.0                  45.0                  NaN   \n",
       "51            186.0                  45.0                  NaN   \n",
       "52            142.0                  45.0                  NaN   \n",
       "53             55.0                  45.0                  NaN   \n",
       "54             45.0                  45.0                  NaN   \n",
       "55            111.0                  45.0                  NaN   \n",
       "56             43.0                  45.0                  NaN   \n",
       "57            187.0                  45.0                  NaN   \n",
       "58             41.0                  45.0                  NaN   \n",
       "59             81.0                  45.0                  NaN   \n",
       "60             37.0                  45.0                  NaN   \n",
       "61            191.0                  45.0                  NaN   \n",
       "62            193.0                  45.0                  NaN   \n",
       "63            155.0                  45.0                  NaN   \n",
       "64            198.0                  45.0                  NaN   \n",
       "65            150.0                  45.0                  NaN   \n",
       "66              0.0                  45.0                  NaN   \n",
       "\n",
       "    tippingPoint26_all_2020  freq26_tipacc_2020  tippingPoint26_acc_2020  \\\n",
       "0                     435.0                 0.0                    434.0   \n",
       "1                     400.0                 3.0                    400.0   \n",
       "2                     395.0                 2.0                    395.0   \n",
       "3                     379.0                 1.0                    379.0   \n",
       "4                     354.0                 4.0                    297.0   \n",
       "5                     322.0                 NaN                      NaN   \n",
       "6                     297.0                 NaN                      NaN   \n",
       "7                     280.0                 NaN                      NaN   \n",
       "8                      97.0                 NaN                      NaN   \n",
       "9                      57.0                 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",
       "    Policy26_2020  freq26_2020_policy  scenario26_2020  freq26_2020_scenario  \\\n",
       "0             9.0                67.0            193.0                  34.0   \n",
       "1            27.0                66.0            127.0                  33.0   \n",
       "2            39.0                65.0             91.0                  32.0   \n",
       "3             0.0                64.0            172.0                  32.0   \n",
       "4            14.0                64.0              0.0                  31.0   \n",
       "5            24.0                64.0             83.0                  31.0   \n",
       "6            20.0                63.0            170.0                  31.0   \n",
       "7            22.0                63.0             66.0                  31.0   \n",
       "8            43.0                62.0            179.0                  31.0   \n",
       "9            21.0                62.0             96.0                  31.0   \n",
       "10           23.0                62.0             44.0                  31.0   \n",
       "11            7.0                61.0             23.0                  31.0   \n",
       "12           28.0                59.0             43.0                  30.0   \n",
       "13           41.0                59.0            112.0                  30.0   \n",
       "14           19.0                58.0            128.0                  30.0   \n",
       "15           18.0                58.0             64.0                  30.0   \n",
       "16            3.0                57.0            160.0                  30.0   \n",
       "17           37.0                55.0             58.0                  30.0   \n",
       "18           35.0                55.0             25.0                  30.0   \n",
       "19           33.0                52.0              8.0                  30.0   \n",
       "20           38.0                50.0             41.0                  30.0   \n",
       "21           16.0                50.0            181.0                  30.0   \n",
       "22           44.0                49.0            105.0                  30.0   \n",
       "23           25.0                48.0             74.0                  29.0   \n",
       "24           31.0                46.0             36.0                  29.0   \n",
       "25           42.0                43.0            197.0                  29.0   \n",
       "26            4.0                43.0            169.0                  29.0   \n",
       "27            5.0                35.0            142.0                  29.0   \n",
       "28            8.0                33.0            143.0                  29.0   \n",
       "29           15.0                31.0            178.0                  29.0   \n",
       "30           30.0                30.0            150.0                  29.0   \n",
       "31            1.0                27.0            198.0                  29.0   \n",
       "32           17.0                26.0            155.0                  29.0   \n",
       "33           32.0                20.0             61.0                  29.0   \n",
       "34            6.0                17.0             17.0                  29.0   \n",
       "35           40.0                17.0             12.0                  29.0   \n",
       "36           10.0                16.0            116.0                  29.0   \n",
       "37           29.0                15.0            190.0                  29.0   \n",
       "38           12.0                14.0             55.0                  28.0   \n",
       "39           13.0                14.0             46.0                  28.0   \n",
       "40           34.0                14.0            111.0                  28.0   \n",
       "41           26.0                14.0             29.0                  28.0   \n",
       "42           36.0                13.0            100.0                  28.0   \n",
       "43            2.0                13.0             37.0                  28.0   \n",
       "44           11.0                11.0            174.0                  28.0   \n",
       "45            NaN                 NaN             34.0                  27.0   \n",
       "46            NaN                 NaN             27.0                  27.0   \n",
       "47            NaN                 NaN             84.0                  27.0   \n",
       "48            NaN                 NaN            144.0                  27.0   \n",
       "49            NaN                 NaN            119.0                  27.0   \n",
       "50            NaN                 NaN             81.0                  27.0   \n",
       "51            NaN                 NaN            186.0                  27.0   \n",
       "52            NaN                 NaN             65.0                  27.0   \n",
       "53            NaN                 NaN             95.0                  26.0   \n",
       "54            NaN                 NaN              4.0                  26.0   \n",
       "55            NaN                 NaN             45.0                  26.0   \n",
       "56            NaN                 NaN            183.0                  26.0   \n",
       "57            NaN                 NaN            187.0                  26.0   \n",
       "58            NaN                 NaN            165.0                  26.0   \n",
       "59            NaN                 NaN            137.0                  26.0   \n",
       "60            NaN                 NaN             50.0                  25.0   \n",
       "61            NaN                 NaN            191.0                  25.0   \n",
       "62            NaN                 NaN            175.0                  25.0   \n",
       "63            NaN                 NaN            104.0                  23.0   \n",
       "64            NaN                 NaN             88.0                  23.0   \n",
       "65            NaN                 NaN            189.0                  23.0   \n",
       "66            NaN                 NaN            114.0                  23.0   \n",
       "\n",
       "    freq26_tip_all_2050  tippingPoint26_all_2050  freq26_tipacc_2050  \\\n",
       "0                   0.0                    402.0                 0.0   \n",
       "1                   1.0                    359.0                 1.0   \n",
       "2                   5.0                    348.0                 2.0   \n",
       "3                   2.0                    340.0                 4.0   \n",
       "4                   4.0                    304.0                 3.0   \n",
       "5                   6.0                    290.0                 NaN   \n",
       "6                   8.0                    284.0                 NaN   \n",
       "7                   7.0                    276.0                 NaN   \n",
       "8                   3.0                    211.0                 NaN   \n",
       "9                   9.0                    202.0                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint26_acc_2050  Policy26_2050  freq26_2050_policy  \\\n",
       "0                     401.0            9.0                66.0   \n",
       "1                     359.0           39.0                64.0   \n",
       "2                     340.0           27.0                62.0   \n",
       "3                     304.0           14.0                61.0   \n",
       "4                     211.0           43.0                55.0   \n",
       "5                       NaN           24.0                55.0   \n",
       "6                       NaN           19.0                54.0   \n",
       "7                       NaN           20.0                54.0   \n",
       "8                       NaN           22.0                54.0   \n",
       "9                       NaN            0.0                54.0   \n",
       "10                      NaN           23.0                53.0   \n",
       "11                      NaN           21.0                52.0   \n",
       "12                      NaN           41.0                52.0   \n",
       "13                      NaN            7.0                50.0   \n",
       "14                      NaN           28.0                47.0   \n",
       "15                      NaN           18.0                47.0   \n",
       "16                      NaN           35.0                46.0   \n",
       "17                      NaN            3.0                44.0   \n",
       "18                      NaN           37.0                42.0   \n",
       "19                      NaN           33.0                42.0   \n",
       "20                      NaN           31.0                40.0   \n",
       "21                      NaN           16.0                39.0   \n",
       "22                      NaN           25.0                39.0   \n",
       "23                      NaN           38.0                38.0   \n",
       "24                      NaN           42.0                36.0   \n",
       "25                      NaN           44.0                34.0   \n",
       "26                      NaN            4.0                31.0   \n",
       "27                      NaN            8.0                27.0   \n",
       "28                      NaN           15.0                27.0   \n",
       "29                      NaN           30.0                26.0   \n",
       "30                      NaN           17.0                26.0   \n",
       "31                      NaN            5.0                25.0   \n",
       "32                      NaN            1.0                22.0   \n",
       "33                      NaN           32.0                19.0   \n",
       "34                      NaN           12.0                16.0   \n",
       "35                      NaN            6.0                16.0   \n",
       "36                      NaN           13.0                15.0   \n",
       "37                      NaN           40.0                14.0   \n",
       "38                      NaN           26.0                13.0   \n",
       "39                      NaN           10.0                13.0   \n",
       "40                      NaN           34.0                12.0   \n",
       "41                      NaN           29.0                11.0   \n",
       "42                      NaN           36.0                 9.0   \n",
       "43                      NaN            2.0                 7.0   \n",
       "44                      NaN           11.0                 6.0   \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             105.0                  32.0                  6.0   \n",
       "1              41.0                  31.0                  8.0   \n",
       "2             160.0                  28.0                  1.0   \n",
       "3             169.0                  28.0                  7.0   \n",
       "4             181.0                  27.0                  0.0   \n",
       "5             174.0                  27.0                  5.0   \n",
       "6              25.0                  27.0                  4.0   \n",
       "7             150.0                  27.0                  2.0   \n",
       "8              36.0                  27.0                  3.0   \n",
       "9              17.0                  27.0                  9.0   \n",
       "10            175.0                  27.0                  NaN   \n",
       "11            186.0                  27.0                  NaN   \n",
       "12            172.0                  27.0                  NaN   \n",
       "13             84.0                  26.0                  NaN   \n",
       "14             91.0                  26.0                  NaN   \n",
       "15            142.0                  26.0                  NaN   \n",
       "16            143.0                  26.0                  NaN   \n",
       "17             66.0                  26.0                  NaN   \n",
       "18            178.0                  26.0                  NaN   \n",
       "19            127.0                  26.0                  NaN   \n",
       "20            112.0                  25.0                  NaN   \n",
       "21            144.0                  25.0                  NaN   \n",
       "22            155.0                  25.0                  NaN   \n",
       "23            193.0                  25.0                  NaN   \n",
       "24            100.0                  25.0                  NaN   \n",
       "25             45.0                  25.0                  NaN   \n",
       "26            183.0                  24.0                  NaN   \n",
       "27             64.0                  24.0                  NaN   \n",
       "28             29.0                  24.0                  NaN   \n",
       "29              4.0                  24.0                  NaN   \n",
       "30            128.0                  24.0                  NaN   \n",
       "31            179.0                  24.0                  NaN   \n",
       "32             83.0                  24.0                  NaN   \n",
       "33            137.0                  24.0                  NaN   \n",
       "34              0.0                  24.0                  NaN   \n",
       "35            119.0                  24.0                  NaN   \n",
       "36            111.0                  24.0                  NaN   \n",
       "37            170.0                  24.0                  NaN   \n",
       "38            165.0                  23.0                  NaN   \n",
       "39             12.0                  23.0                  NaN   \n",
       "40            198.0                  23.0                  NaN   \n",
       "41             43.0                  23.0                  NaN   \n",
       "42            189.0                  23.0                  NaN   \n",
       "43             81.0                  23.0                  NaN   \n",
       "44             88.0                  23.0                  NaN   \n",
       "45             61.0                  23.0                  NaN   \n",
       "46            190.0                  23.0                  NaN   \n",
       "47             34.0                  22.0                  NaN   \n",
       "48             58.0                  22.0                  NaN   \n",
       "49             96.0                  22.0                  NaN   \n",
       "50            191.0                  22.0                  NaN   \n",
       "51            116.0                  22.0                  NaN   \n",
       "52             50.0                  22.0                  NaN   \n",
       "53            114.0                  22.0                  NaN   \n",
       "54            187.0                  22.0                  NaN   \n",
       "55            197.0                  22.0                  NaN   \n",
       "56             65.0                  22.0                  NaN   \n",
       "57              8.0                  22.0                  NaN   \n",
       "58             37.0                  21.0                  NaN   \n",
       "59            104.0                  21.0                  NaN   \n",
       "60             95.0                  21.0                  NaN   \n",
       "61             55.0                  21.0                  NaN   \n",
       "62             46.0                  21.0                  NaN   \n",
       "63             27.0                  21.0                  NaN   \n",
       "64             44.0                  20.0                  NaN   \n",
       "65             23.0                  20.0                  NaN   \n",
       "66             74.0                  18.0                  NaN   \n",
       "\n",
       "    tippingPoint26_all_2070  freq26_tipacc_2070  tippingPoint26_acc_2070  \\\n",
       "0                     398.0                 1.0                    371.0   \n",
       "1                     387.0                 0.0                    338.0   \n",
       "2                     371.0                 4.0                    274.0   \n",
       "3                     340.0                 2.0                    248.0   \n",
       "4                     339.0                 3.0                    207.0   \n",
       "5                     293.0                 NaN                      NaN   \n",
       "6                     274.0                 NaN                      NaN   \n",
       "7                     248.0                 NaN                      NaN   \n",
       "8                     207.0                 NaN                      NaN   \n",
       "9                     159.0                 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",
       "    Policy26_2070  freq26_2070_policy  scenario26_2070  freq26_2070_scenario  \\\n",
       "0             9.0                64.0            105.0                  32.0   \n",
       "1            27.0                61.0             41.0                  27.0   \n",
       "2            39.0                55.0            160.0                  26.0   \n",
       "3            24.0                50.0            143.0                  25.0   \n",
       "4            22.0                48.0            142.0                  25.0   \n",
       "5            20.0                48.0            150.0                  25.0   \n",
       "6             0.0                46.0            186.0                  25.0   \n",
       "7            43.0                45.0             25.0                  25.0   \n",
       "8            14.0                45.0             46.0                  24.0   \n",
       "9            19.0                45.0            181.0                  24.0   \n",
       "10           21.0                45.0            183.0                  24.0   \n",
       "11           41.0                44.0             17.0                  24.0   \n",
       "12            7.0                43.0             36.0                  24.0   \n",
       "13           23.0                42.0             91.0                  24.0   \n",
       "14           35.0                41.0            119.0                  24.0   \n",
       "15           18.0                39.0              4.0                  23.0   \n",
       "16           31.0                39.0             43.0                  23.0   \n",
       "17           28.0                38.0            128.0                  23.0   \n",
       "18            3.0                38.0              8.0                  23.0   \n",
       "19           25.0                37.0            193.0                  23.0   \n",
       "20           33.0                37.0            172.0                  23.0   \n",
       "21           37.0                36.0            112.0                  23.0   \n",
       "22           38.0                35.0            169.0                  22.0   \n",
       "23           16.0                34.0            127.0                  22.0   \n",
       "24           42.0                30.0            144.0                  22.0   \n",
       "25           44.0                29.0            170.0                  22.0   \n",
       "26            4.0                27.0             45.0                  22.0   \n",
       "27           15.0                26.0            100.0                  22.0   \n",
       "28           17.0                25.0             84.0                  22.0   \n",
       "29           30.0                22.0            178.0                  22.0   \n",
       "30            5.0                22.0            174.0                  22.0   \n",
       "31            8.0                21.0            137.0                  22.0   \n",
       "32            1.0                20.0             88.0                  21.0   \n",
       "33           34.0                15.0             50.0                  21.0   \n",
       "34           40.0                14.0             64.0                  21.0   \n",
       "35           29.0                14.0             34.0                  21.0   \n",
       "36            6.0                14.0             27.0                  21.0   \n",
       "37           12.0                14.0            179.0                  21.0   \n",
       "38           32.0                14.0              0.0                  21.0   \n",
       "39           36.0                14.0             66.0                  21.0   \n",
       "40           10.0                13.0             95.0                  21.0   \n",
       "41           13.0                13.0            189.0                  21.0   \n",
       "42            2.0                13.0            175.0                  21.0   \n",
       "43           26.0                12.0            111.0                  21.0   \n",
       "44           11.0                11.0             83.0                  21.0   \n",
       "45            NaN                 NaN            114.0                  21.0   \n",
       "46            NaN                 NaN             65.0                  21.0   \n",
       "47            NaN                 NaN             12.0                  20.0   \n",
       "48            NaN                 NaN            191.0                  20.0   \n",
       "49            NaN                 NaN            165.0                  20.0   \n",
       "50            NaN                 NaN            198.0                  20.0   \n",
       "51            NaN                 NaN            190.0                  20.0   \n",
       "52            NaN                 NaN             61.0                  19.0   \n",
       "53            NaN                 NaN             44.0                  19.0   \n",
       "54            NaN                 NaN             58.0                  19.0   \n",
       "55            NaN                 NaN             55.0                  19.0   \n",
       "56            NaN                 NaN             23.0                  19.0   \n",
       "57            NaN                 NaN             29.0                  19.0   \n",
       "58            NaN                 NaN            187.0                  19.0   \n",
       "59            NaN                 NaN             81.0                  18.0   \n",
       "60            NaN                 NaN            104.0                  18.0   \n",
       "61            NaN                 NaN            197.0                  18.0   \n",
       "62            NaN                 NaN            155.0                  17.0   \n",
       "63            NaN                 NaN             96.0                  16.0   \n",
       "64            NaN                 NaN            116.0                  16.0   \n",
       "65            NaN                 NaN             37.0                  14.0   \n",
       "66            NaN                 NaN             74.0                  14.0   \n",
       "\n",
       "    freq45_tip_all_1980  tippingPoint45_all_1980  ...  scenario45_2070  \\\n",
       "0                   1.0                    635.0  ...             86.0   \n",
       "1                   0.0                    635.0  ...            167.0   \n",
       "2                   2.0                    490.0  ...            168.0   \n",
       "3                   3.0                    364.0  ...             57.0   \n",
       "4                   4.0                    361.0  ...             14.0   \n",
       "5                   5.0                    233.0  ...            176.0   \n",
       "6                   6.0                    161.0  ...            125.0   \n",
       "7                   7.0                     69.0  ...             70.0   \n",
       "8                   8.0                     21.0  ...             13.0   \n",
       "9                   9.0                      2.0  ...            185.0   \n",
       "10                  NaN                      NaN  ...             97.0   \n",
       "11                  NaN                      NaN  ...            138.0   \n",
       "12                  NaN                      NaN  ...             69.0   \n",
       "13                  NaN                      NaN  ...             11.0   \n",
       "14                  NaN                      NaN  ...             28.0   \n",
       "15                  NaN                      NaN  ...             32.0   \n",
       "16                  NaN                      NaN  ...            180.0   \n",
       "17                  NaN                      NaN  ...             89.0   \n",
       "18                  NaN                      NaN  ...             49.0   \n",
       "19                  NaN                      NaN  ...             31.0   \n",
       "20                  NaN                      NaN  ...            103.0   \n",
       "21                  NaN                      NaN  ...            162.0   \n",
       "22                  NaN                      NaN  ...            123.0   \n",
       "23                  NaN                      NaN  ...            120.0   \n",
       "24                  NaN                      NaN  ...            126.0   \n",
       "25                  NaN                      NaN  ...            122.0   \n",
       "26                  NaN                      NaN  ...            134.0   \n",
       "27                  NaN                      NaN  ...             22.0   \n",
       "28                  NaN                      NaN  ...             54.0   \n",
       "29                  NaN                      NaN  ...            156.0   \n",
       "30                  NaN                      NaN  ...             85.0   \n",
       "31                  NaN                      NaN  ...            153.0   \n",
       "32                  NaN                      NaN  ...             77.0   \n",
       "33                  NaN                      NaN  ...             48.0   \n",
       "34                  NaN                      NaN  ...             68.0   \n",
       "35                  NaN                      NaN  ...            136.0   \n",
       "36                  NaN                      NaN  ...             40.0   \n",
       "37                  NaN                      NaN  ...             20.0   \n",
       "38                  NaN                      NaN  ...            184.0   \n",
       "39                  NaN                      NaN  ...            182.0   \n",
       "40                  NaN                      NaN  ...             63.0   \n",
       "41                  NaN                      NaN  ...            171.0   \n",
       "42                  NaN                      NaN  ...             71.0   \n",
       "43                  NaN                      NaN  ...            113.0   \n",
       "44                  NaN                      NaN  ...             59.0   \n",
       "45                  NaN                      NaN  ...             82.0   \n",
       "46                  NaN                      NaN  ...             10.0   \n",
       "47                  NaN                      NaN  ...             26.0   \n",
       "48                  NaN                      NaN  ...             35.0   \n",
       "49                  NaN                      NaN  ...            196.0   \n",
       "50                  NaN                      NaN  ...             52.0   \n",
       "51                  NaN                      NaN  ...            164.0   \n",
       "52                  NaN                      NaN  ...             38.0   \n",
       "53                  NaN                      NaN  ...             76.0   \n",
       "54                  NaN                      NaN  ...             67.0   \n",
       "55                  NaN                      NaN  ...            139.0   \n",
       "56                  NaN                      NaN  ...            161.0   \n",
       "57                  NaN                      NaN  ...            118.0   \n",
       "58                  NaN                      NaN  ...            130.0   \n",
       "59                  NaN                      NaN  ...            157.0   \n",
       "60                  NaN                      NaN  ...             21.0   \n",
       "61                  NaN                      NaN  ...             87.0   \n",
       "62                  NaN                      NaN  ...            135.0   \n",
       "63                  NaN                      NaN  ...            194.0   \n",
       "64                  NaN                      NaN  ...            199.0   \n",
       "65                  NaN                      NaN  ...             16.0   \n",
       "66                  NaN                      NaN  ...              NaN   \n",
       "\n",
       "    freq45_2070_scenario  freq85_tip_all_1980  tippingPoint85_all_1980  \\\n",
       "0                   18.0                  1.0                    635.0   \n",
       "1                   18.0                  0.0                    635.0   \n",
       "2                   17.0                  2.0                    490.0   \n",
       "3                   17.0                  3.0                    364.0   \n",
       "4                   16.0                  4.0                    361.0   \n",
       "5                   16.0                  5.0                    233.0   \n",
       "6                   16.0                  6.0                    161.0   \n",
       "7                   16.0                  7.0                     69.0   \n",
       "8                   15.0                  8.0                     21.0   \n",
       "9                   15.0                  9.0                      2.0   \n",
       "10                  15.0                  NaN                      NaN   \n",
       "11                  15.0                  NaN                      NaN   \n",
       "12                  15.0                  NaN                      NaN   \n",
       "13                  15.0                  NaN                      NaN   \n",
       "14                  15.0                  NaN                      NaN   \n",
       "15                  15.0                  NaN                      NaN   \n",
       "16                  14.0                  NaN                      NaN   \n",
       "17                  14.0                  NaN                      NaN   \n",
       "18                  14.0                  NaN                      NaN   \n",
       "19                  13.0                  NaN                      NaN   \n",
       "20                  13.0                  NaN                      NaN   \n",
       "21                  13.0                  NaN                      NaN   \n",
       "22                  13.0                  NaN                      NaN   \n",
       "23                  13.0                  NaN                      NaN   \n",
       "24                  13.0                  NaN                      NaN   \n",
       "25                  13.0                  NaN                      NaN   \n",
       "26                  12.0                  NaN                      NaN   \n",
       "27                  12.0                  NaN                      NaN   \n",
       "28                  12.0                  NaN                      NaN   \n",
       "29                  12.0                  NaN                      NaN   \n",
       "30                  12.0                  NaN                      NaN   \n",
       "31                  12.0                  NaN                      NaN   \n",
       "32                  12.0                  NaN                      NaN   \n",
       "33                  12.0                  NaN                      NaN   \n",
       "34                  11.0                  NaN                      NaN   \n",
       "35                  11.0                  NaN                      NaN   \n",
       "36                  11.0                  NaN                      NaN   \n",
       "37                  11.0                  NaN                      NaN   \n",
       "38                  11.0                  NaN                      NaN   \n",
       "39                  11.0                  NaN                      NaN   \n",
       "40                  11.0                  NaN                      NaN   \n",
       "41                  11.0                  NaN                      NaN   \n",
       "42                  11.0                  NaN                      NaN   \n",
       "43                  11.0                  NaN                      NaN   \n",
       "44                  11.0                  NaN                      NaN   \n",
       "45                  11.0                  NaN                      NaN   \n",
       "46                  11.0                  NaN                      NaN   \n",
       "47                  10.0                  NaN                      NaN   \n",
       "48                  10.0                  NaN                      NaN   \n",
       "49                  10.0                  NaN                      NaN   \n",
       "50                  10.0                  NaN                      NaN   \n",
       "51                  10.0                  NaN                      NaN   \n",
       "52                  10.0                  NaN                      NaN   \n",
       "53                  10.0                  NaN                      NaN   \n",
       "54                  10.0                  NaN                      NaN   \n",
       "55                  10.0                  NaN                      NaN   \n",
       "56                   9.0                  NaN                      NaN   \n",
       "57                   9.0                  NaN                      NaN   \n",
       "58                   9.0                  NaN                      NaN   \n",
       "59                   9.0                  NaN                      NaN   \n",
       "60                   9.0                  NaN                      NaN   \n",
       "61                   9.0                  NaN                      NaN   \n",
       "62                   9.0                  NaN                      NaN   \n",
       "63                   8.0                  NaN                      NaN   \n",
       "64                   7.0                  NaN                      NaN   \n",
       "65                   6.0                  NaN                      NaN   \n",
       "66                   NaN                  NaN                      NaN   \n",
       "\n",
       "    freq85_tipacc_1980  tippingPoint85_acc_1980  Policy85_1980  \\\n",
       "0                  1.0                    635.0           43.0   \n",
       "1                  0.0                    634.0           21.0   \n",
       "2                  2.0                    490.0           19.0   \n",
       "3                  3.0                    364.0           18.0   \n",
       "4                  4.0                    361.0           17.0   \n",
       "5                  5.0                    233.0           16.0   \n",
       "6                  6.0                    161.0           15.0   \n",
       "7                  7.0                     69.0           14.0   \n",
       "8                  8.0                     21.0           13.0   \n",
       "9                  9.0                      2.0           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            135.0                  45.0   \n",
       "1                 66.0             54.0                  45.0   \n",
       "2                 66.0             87.0                  45.0   \n",
       "3                 66.0            161.0                  45.0   \n",
       "4                 66.0             69.0                  45.0   \n",
       "5                 66.0            171.0                  45.0   \n",
       "6                 66.0            153.0                  45.0   \n",
       "7                 66.0            184.0                  45.0   \n",
       "8                 66.0            176.0                  45.0   \n",
       "9                 66.0            168.0                  45.0   \n",
       "10                66.0            164.0                  45.0   \n",
       "11                66.0            136.0                  45.0   \n",
       "12                66.0            126.0                  45.0   \n",
       "13                66.0            120.0                  45.0   \n",
       "14                66.0             76.0                  45.0   \n",
       "15                66.0             68.0                  45.0   \n",
       "16                66.0             52.0                  45.0   \n",
       "17                66.0            194.0                  45.0   \n",
       "18                66.0             48.0                  45.0   \n",
       "19                66.0             40.0                  45.0   \n",
       "20                66.0             38.0                  45.0   \n",
       "21                66.0             32.0                  45.0   \n",
       "22                66.0             31.0                  45.0   \n",
       "23                66.0             28.0                  45.0   \n",
       "24                66.0             26.0                  45.0   \n",
       "25                66.0             22.0                  45.0   \n",
       "26                66.0             21.0                  45.0   \n",
       "27                66.0             20.0                  45.0   \n",
       "28                66.0             16.0                  45.0   \n",
       "29                66.0             14.0                  45.0   \n",
       "30                66.0             13.0                  45.0   \n",
       "31                66.0             11.0                  45.0   \n",
       "32                66.0             85.0                  45.0   \n",
       "33                66.0            123.0                  45.0   \n",
       "34                66.0            113.0                  45.0   \n",
       "35                66.0            182.0                  45.0   \n",
       "36                66.0            130.0                  45.0   \n",
       "37                66.0            134.0                  45.0   \n",
       "38                66.0             97.0                  45.0   \n",
       "39                66.0            103.0                  45.0   \n",
       "40                66.0             77.0                  45.0   \n",
       "41                66.0            167.0                  45.0   \n",
       "42                66.0             67.0                  45.0   \n",
       "43                66.0            199.0                  45.0   \n",
       "44                66.0            157.0                  45.0   \n",
       "45                 NaN            196.0                  45.0   \n",
       "46                 NaN            180.0                  45.0   \n",
       "47                 NaN            156.0                  45.0   \n",
       "48                 NaN            122.0                  45.0   \n",
       "49                 NaN            118.0                  45.0   \n",
       "50                 NaN             86.0                  45.0   \n",
       "51                 NaN            162.0                  45.0   \n",
       "52                 NaN             82.0                  45.0   \n",
       "53                 NaN             70.0                  45.0   \n",
       "54                 NaN            125.0                  45.0   \n",
       "55                 NaN             63.0                  45.0   \n",
       "56                 NaN             59.0                  45.0   \n",
       "57                 NaN             89.0                  45.0   \n",
       "58                 NaN             57.0                  45.0   \n",
       "59                 NaN             49.0                  45.0   \n",
       "60                 NaN             71.0                  45.0   \n",
       "61                 NaN             35.0                  45.0   \n",
       "62                 NaN            185.0                  45.0   \n",
       "63                 NaN            139.0                  45.0   \n",
       "64                 NaN            138.0                  45.0   \n",
       "65                 NaN             10.0                  45.0   \n",
       "66                 NaN              NaN                   NaN   \n",
       "\n",
       "    freq85_tip_all_2020  tippingPoint85_all_2020  freq85_tipacc_2020  \\\n",
       "0                   4.0                    374.0                 4.0   \n",
       "1                   1.0                    359.0                 1.0   \n",
       "2                   0.0                    351.0                 0.0   \n",
       "3                   2.0                    337.0                 2.0   \n",
       "4                   3.0                    336.0                 3.0   \n",
       "5                   5.0                    307.0                 NaN   \n",
       "6                   6.0                    296.0                 NaN   \n",
       "7                   7.0                    271.0                 NaN   \n",
       "8                   8.0                    241.0                 NaN   \n",
       "9                   9.0                     99.0                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint85_acc_2020  Policy85_2020  freq85_2020_policy  \\\n",
       "0                     374.0           39.0                65.0   \n",
       "1                     359.0            9.0                65.0   \n",
       "2                     350.0           22.0                64.0   \n",
       "3                     337.0           27.0                64.0   \n",
       "4                     336.0            0.0                62.0   \n",
       "5                       NaN           14.0                61.0   \n",
       "6                       NaN           20.0                61.0   \n",
       "7                       NaN           23.0                59.0   \n",
       "8                       NaN           43.0                58.0   \n",
       "9                       NaN           28.0                58.0   \n",
       "10                      NaN           21.0                58.0   \n",
       "11                      NaN           41.0                58.0   \n",
       "12                      NaN            7.0                57.0   \n",
       "13                      NaN           24.0                57.0   \n",
       "14                      NaN           18.0                55.0   \n",
       "15                      NaN           19.0                55.0   \n",
       "16                      NaN            3.0                52.0   \n",
       "17                      NaN           35.0                52.0   \n",
       "18                      NaN           16.0                50.0   \n",
       "19                      NaN           38.0                49.0   \n",
       "20                      NaN           33.0                47.0   \n",
       "21                      NaN           25.0                44.0   \n",
       "22                      NaN           31.0                41.0   \n",
       "23                      NaN           37.0                41.0   \n",
       "24                      NaN           42.0                39.0   \n",
       "25                      NaN           44.0                37.0   \n",
       "26                      NaN            4.0                34.0   \n",
       "27                      NaN           15.0                33.0   \n",
       "28                      NaN            5.0                31.0   \n",
       "29                      NaN            8.0                28.0   \n",
       "30                      NaN            1.0                25.0   \n",
       "31                      NaN           30.0                25.0   \n",
       "32                      NaN           17.0                25.0   \n",
       "33                      NaN            6.0                23.0   \n",
       "34                      NaN           32.0                16.0   \n",
       "35                      NaN           26.0                15.0   \n",
       "36                      NaN           12.0                15.0   \n",
       "37                      NaN           40.0                14.0   \n",
       "38                      NaN           10.0                12.0   \n",
       "39                      NaN           13.0                11.0   \n",
       "40                      NaN           36.0                 9.0   \n",
       "41                      NaN            2.0                 9.0   \n",
       "42                      NaN           34.0                 9.0   \n",
       "43                      NaN           29.0                 7.0   \n",
       "44                      NaN           11.0                 6.0   \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              59.0                  33.0                  7.0   \n",
       "1             161.0                  31.0                  6.0   \n",
       "2             180.0                  31.0                  9.0   \n",
       "3             156.0                  31.0                  8.0   \n",
       "4              21.0                  30.0                  5.0   \n",
       "5              86.0                  30.0                  4.0   \n",
       "6             120.0                  29.0                  2.0   \n",
       "7             126.0                  29.0                  3.0   \n",
       "8              13.0                  29.0                  1.0   \n",
       "9              14.0                  29.0                  0.0   \n",
       "10             85.0                  29.0                 10.0   \n",
       "11             67.0                  29.0                  NaN   \n",
       "12             31.0                  29.0                  NaN   \n",
       "13             57.0                  29.0                  NaN   \n",
       "14            182.0                  29.0                  NaN   \n",
       "15             40.0                  28.0                  NaN   \n",
       "16            130.0                  28.0                  NaN   \n",
       "17             77.0                  28.0                  NaN   \n",
       "18            153.0                  28.0                  NaN   \n",
       "19             89.0                  28.0                  NaN   \n",
       "20            136.0                  28.0                  NaN   \n",
       "21             32.0                  28.0                  NaN   \n",
       "22            134.0                  28.0                  NaN   \n",
       "23             11.0                  28.0                  NaN   \n",
       "24             76.0                  27.0                  NaN   \n",
       "25             48.0                  27.0                  NaN   \n",
       "26            168.0                  27.0                  NaN   \n",
       "27             28.0                  27.0                  NaN   \n",
       "28            135.0                  27.0                  NaN   \n",
       "29            123.0                  27.0                  NaN   \n",
       "30            196.0                  27.0                  NaN   \n",
       "31            164.0                  26.0                  NaN   \n",
       "32            122.0                  26.0                  NaN   \n",
       "33            118.0                  26.0                  NaN   \n",
       "34            199.0                  26.0                  NaN   \n",
       "35             26.0                  26.0                  NaN   \n",
       "36             22.0                  26.0                  NaN   \n",
       "37            167.0                  26.0                  NaN   \n",
       "38             70.0                  26.0                  NaN   \n",
       "39             63.0                  26.0                  NaN   \n",
       "40             10.0                  26.0                  NaN   \n",
       "41             35.0                  26.0                  NaN   \n",
       "42            185.0                  26.0                  NaN   \n",
       "43            125.0                  26.0                  NaN   \n",
       "44            184.0                  25.0                  NaN   \n",
       "45             97.0                  25.0                  NaN   \n",
       "46             49.0                  25.0                  NaN   \n",
       "47             71.0                  25.0                  NaN   \n",
       "48             87.0                  25.0                  NaN   \n",
       "49             69.0                  25.0                  NaN   \n",
       "50             38.0                  25.0                  NaN   \n",
       "51            176.0                  25.0                  NaN   \n",
       "52            157.0                  24.0                  NaN   \n",
       "53            113.0                  24.0                  NaN   \n",
       "54            138.0                  24.0                  NaN   \n",
       "55            162.0                  24.0                  NaN   \n",
       "56             52.0                  24.0                  NaN   \n",
       "57            139.0                  24.0                  NaN   \n",
       "58             82.0                  24.0                  NaN   \n",
       "59             54.0                  24.0                  NaN   \n",
       "60            171.0                  24.0                  NaN   \n",
       "61             20.0                  23.0                  NaN   \n",
       "62             16.0                  23.0                  NaN   \n",
       "63            103.0                  23.0                  NaN   \n",
       "64            194.0                  23.0                  NaN   \n",
       "65             68.0                  22.0                  NaN   \n",
       "66              NaN                   NaN                  NaN   \n",
       "\n",
       "    tippingPoint85_all_2050  freq85_tipacc_2050  tippingPoint85_acc_2050  \\\n",
       "0                     476.0                 4.0                    230.0   \n",
       "1                     413.0                 2.0                    214.0   \n",
       "2                     401.0                 3.0                    183.0   \n",
       "3                     393.0                 1.0                    161.0   \n",
       "4                     311.0                 0.0                    108.0   \n",
       "5                     230.0                 NaN                      NaN   \n",
       "6                     214.0                 NaN                      NaN   \n",
       "7                     183.0                 NaN                      NaN   \n",
       "8                     161.0                 NaN                      NaN   \n",
       "9                     109.0                 NaN                      NaN   \n",
       "10                     80.0                 NaN                      NaN   \n",
       "11                      NaN                 NaN                      NaN   \n",
       "12                      NaN                 NaN                      NaN   \n",
       "13                      NaN                 NaN                      NaN   \n",
       "14                      NaN                 NaN                      NaN   \n",
       "15                      NaN                 NaN                      NaN   \n",
       "16                      NaN                 NaN                      NaN   \n",
       "17                      NaN                 NaN                      NaN   \n",
       "18                      NaN                 NaN                      NaN   \n",
       "19                      NaN                 NaN                      NaN   \n",
       "20                      NaN                 NaN                      NaN   \n",
       "21                      NaN                 NaN                      NaN   \n",
       "22                      NaN                 NaN                      NaN   \n",
       "23                      NaN                 NaN                      NaN   \n",
       "24                      NaN                 NaN                      NaN   \n",
       "25                      NaN                 NaN                      NaN   \n",
       "26                      NaN                 NaN                      NaN   \n",
       "27                      NaN                 NaN                      NaN   \n",
       "28                      NaN                 NaN                      NaN   \n",
       "29                      NaN                 NaN                      NaN   \n",
       "30                      NaN                 NaN                      NaN   \n",
       "31                      NaN                 NaN                      NaN   \n",
       "32                      NaN                 NaN                      NaN   \n",
       "33                      NaN                 NaN                      NaN   \n",
       "34                      NaN                 NaN                      NaN   \n",
       "35                      NaN                 NaN                      NaN   \n",
       "36                      NaN                 NaN                      NaN   \n",
       "37                      NaN                 NaN                      NaN   \n",
       "38                      NaN                 NaN                      NaN   \n",
       "39                      NaN                 NaN                      NaN   \n",
       "40                      NaN                 NaN                      NaN   \n",
       "41                      NaN                 NaN                      NaN   \n",
       "42                      NaN                 NaN                      NaN   \n",
       "43                      NaN                 NaN                      NaN   \n",
       "44                      NaN                 NaN                      NaN   \n",
       "45                      NaN                 NaN                      NaN   \n",
       "46                      NaN                 NaN                      NaN   \n",
       "47                      NaN                 NaN                      NaN   \n",
       "48                      NaN                 NaN                      NaN   \n",
       "49                      NaN                 NaN                      NaN   \n",
       "50                      NaN                 NaN                      NaN   \n",
       "51                      NaN                 NaN                      NaN   \n",
       "52                      NaN                 NaN                      NaN   \n",
       "53                      NaN                 NaN                      NaN   \n",
       "54                      NaN                 NaN                      NaN   \n",
       "55                      NaN                 NaN                      NaN   \n",
       "56                      NaN                 NaN                      NaN   \n",
       "57                      NaN                 NaN                      NaN   \n",
       "58                      NaN                 NaN                      NaN   \n",
       "59                      NaN                 NaN                      NaN   \n",
       "60                      NaN                 NaN                      NaN   \n",
       "61                      NaN                 NaN                      NaN   \n",
       "62                      NaN                 NaN                      NaN   \n",
       "63                      NaN                 NaN                      NaN   \n",
       "64                      NaN                 NaN                      NaN   \n",
       "65                      NaN                 NaN                      NaN   \n",
       "66                      NaN                 NaN                      NaN   \n",
       "\n",
       "    Policy85_2050  freq85_2050_policy  scenario85_2050  freq85_2050_scenario  \\\n",
       "0            27.0                43.0            168.0                  19.0   \n",
       "1            39.0                41.0            167.0                  19.0   \n",
       "2             9.0                41.0             57.0                  19.0   \n",
       "3            22.0                38.0            125.0                  18.0   \n",
       "4             0.0                38.0             28.0                  18.0   \n",
       "5            20.0                37.0            185.0                  18.0   \n",
       "6            28.0                35.0             97.0                  18.0   \n",
       "7            21.0                35.0             86.0                  17.0   \n",
       "8            43.0                34.0            176.0                  17.0   \n",
       "9            14.0                34.0             11.0                  17.0   \n",
       "10           41.0                34.0             85.0                  17.0   \n",
       "11           23.0                34.0             70.0                  17.0   \n",
       "12           18.0                33.0             13.0                  17.0   \n",
       "13           24.0                31.0             31.0                  16.0   \n",
       "14            7.0                29.0             14.0                  16.0   \n",
       "15           19.0                28.0            138.0                  16.0   \n",
       "16            3.0                27.0             32.0                  16.0   \n",
       "17           35.0                23.0            162.0                  15.0   \n",
       "18           37.0                22.0             49.0                  15.0   \n",
       "19           16.0                20.0            156.0                  15.0   \n",
       "20           38.0                19.0             69.0                  15.0   \n",
       "21           44.0                18.0             48.0                  14.0   \n",
       "22           33.0                17.0            123.0                  14.0   \n",
       "23           25.0                16.0            120.0                  14.0   \n",
       "24           31.0                15.0            180.0                  14.0   \n",
       "25            4.0                15.0             54.0                  14.0   \n",
       "26            8.0                12.0            153.0                  14.0   \n",
       "27           17.0                12.0            122.0                  14.0   \n",
       "28           42.0                12.0             68.0                  14.0   \n",
       "29           15.0                11.0            182.0                  14.0   \n",
       "30            6.0                10.0            103.0                  14.0   \n",
       "31            1.0                 9.0             10.0                  13.0   \n",
       "32           30.0                 9.0            136.0                  13.0   \n",
       "33            5.0                 8.0             26.0                  13.0   \n",
       "34           26.0                 8.0             38.0                  13.0   \n",
       "35           12.0                 7.0            113.0                  13.0   \n",
       "36           32.0                 6.0            118.0                  13.0   \n",
       "37            2.0                 5.0            164.0                  13.0   \n",
       "38           29.0                 5.0            135.0                  13.0   \n",
       "39           11.0                 5.0            139.0                  13.0   \n",
       "40           34.0                 5.0            171.0                  12.0   \n",
       "41           40.0                 5.0            194.0                  12.0   \n",
       "42           36.0                 4.0             20.0                  12.0   \n",
       "43           10.0                 3.0             22.0                  12.0   \n",
       "44           13.0                 3.0             77.0                  12.0   \n",
       "45            NaN                 NaN             82.0                  12.0   \n",
       "46            NaN                 NaN             89.0                  12.0   \n",
       "47            NaN                 NaN            157.0                  12.0   \n",
       "48            NaN                 NaN             71.0                  12.0   \n",
       "49            NaN                 NaN            134.0                  12.0   \n",
       "50            NaN                 NaN             76.0                  12.0   \n",
       "51            NaN                 NaN             67.0                  12.0   \n",
       "52            NaN                 NaN             87.0                  11.0   \n",
       "53            NaN                 NaN             63.0                  11.0   \n",
       "54            NaN                 NaN            130.0                  11.0   \n",
       "55            NaN                 NaN             16.0                  11.0   \n",
       "56            NaN                 NaN             52.0                  11.0   \n",
       "57            NaN                 NaN            126.0                  11.0   \n",
       "58            NaN                 NaN            196.0                  10.0   \n",
       "59            NaN                 NaN            161.0                  10.0   \n",
       "60            NaN                 NaN             40.0                  10.0   \n",
       "61            NaN                 NaN             35.0                  10.0   \n",
       "62            NaN                 NaN            199.0                   9.0   \n",
       "63            NaN                 NaN            184.0                   9.0   \n",
       "64            NaN                 NaN             59.0                   9.0   \n",
       "65            NaN                 NaN             21.0                   7.0   \n",
       "66            NaN                 NaN              NaN                   NaN   \n",
       "\n",
       "    freq85_tip_all_2070  tippingPoint85_all_2070  freq85_tipacc_2070  \\\n",
       "0                   9.0                   1266.0                 4.0   \n",
       "1                   8.0                    752.0                 3.0   \n",
       "2                   7.0                    443.0                 2.0   \n",
       "3                   6.0                    284.0                 1.0   \n",
       "4                   5.0                    150.0                 NaN   \n",
       "5                   4.0                     78.0                 NaN   \n",
       "6                   3.0                     26.0                 NaN   \n",
       "7                   2.0                     14.0                 NaN   \n",
       "8                   1.0                      2.0                 NaN   \n",
       "9                   0.0                      1.0                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint85_acc_2070  Policy85_2070  freq85_2070_policy  \\\n",
       "0                      78.0            9.0                12.0   \n",
       "1                      26.0           27.0                10.0   \n",
       "2                      14.0           39.0                10.0   \n",
       "3                       2.0           43.0                 9.0   \n",
       "4                       NaN           41.0                 8.0   \n",
       "5                       NaN           23.0                 7.0   \n",
       "6                       NaN           22.0                 6.0   \n",
       "7                       NaN           14.0                 6.0   \n",
       "8                       NaN            0.0                 5.0   \n",
       "9                       NaN            7.0                 4.0   \n",
       "10                      NaN            4.0                 3.0   \n",
       "11                      NaN           37.0                 3.0   \n",
       "12                      NaN           16.0                 3.0   \n",
       "13                      NaN           18.0                 3.0   \n",
       "14                      NaN           19.0                 3.0   \n",
       "15                      NaN           20.0                 3.0   \n",
       "16                      NaN           35.0                 3.0   \n",
       "17                      NaN           24.0                 3.0   \n",
       "18                      NaN           33.0                 3.0   \n",
       "19                      NaN           28.0                 3.0   \n",
       "20                      NaN           21.0                 2.0   \n",
       "21                      NaN           25.0                 2.0   \n",
       "22                      NaN           31.0                 2.0   \n",
       "23                      NaN           38.0                 2.0   \n",
       "24                      NaN           44.0                 2.0   \n",
       "25                      NaN           42.0                 1.0   \n",
       "26                      NaN            5.0                 1.0   \n",
       "27                      NaN            3.0                 1.0   \n",
       "28                      NaN            NaN                 NaN   \n",
       "29                      NaN            NaN                 NaN   \n",
       "30                      NaN            NaN                 NaN   \n",
       "31                      NaN            NaN                 NaN   \n",
       "32                      NaN            NaN                 NaN   \n",
       "33                      NaN            NaN                 NaN   \n",
       "34                      NaN            NaN                 NaN   \n",
       "35                      NaN            NaN                 NaN   \n",
       "36                      NaN            NaN                 NaN   \n",
       "37                      NaN            NaN                 NaN   \n",
       "38                      NaN            NaN                 NaN   \n",
       "39                      NaN            NaN                 NaN   \n",
       "40                      NaN            NaN                 NaN   \n",
       "41                      NaN            NaN                 NaN   \n",
       "42                      NaN            NaN                 NaN   \n",
       "43                      NaN            NaN                 NaN   \n",
       "44                      NaN            NaN                 NaN   \n",
       "45                      NaN            NaN                 NaN   \n",
       "46                      NaN            NaN                 NaN   \n",
       "47                      NaN            NaN                 NaN   \n",
       "48                      NaN            NaN                 NaN   \n",
       "49                      NaN            NaN                 NaN   \n",
       "50                      NaN            NaN                 NaN   \n",
       "51                      NaN            NaN                 NaN   \n",
       "52                      NaN            NaN                 NaN   \n",
       "53                      NaN            NaN                 NaN   \n",
       "54                      NaN            NaN                 NaN   \n",
       "55                      NaN            NaN                 NaN   \n",
       "56                      NaN            NaN                 NaN   \n",
       "57                      NaN            NaN                 NaN   \n",
       "58                      NaN            NaN                 NaN   \n",
       "59                      NaN            NaN                 NaN   \n",
       "60                      NaN            NaN                 NaN   \n",
       "61                      NaN            NaN                 NaN   \n",
       "62                      NaN            NaN                 NaN   \n",
       "63                      NaN            NaN                 NaN   \n",
       "64                      NaN            NaN                 NaN   \n",
       "65                      NaN            NaN                 NaN   \n",
       "66                      NaN            NaN                 NaN   \n",
       "\n",
       "    scenario85_2070  freq85_2070_scenario  \n",
       "0             152.0                   4.0  \n",
       "1             133.0                   4.0  \n",
       "2             166.0                   4.0  \n",
       "3             115.0                   3.0  \n",
       "4              33.0                   3.0  \n",
       "5              19.0                   3.0  \n",
       "6              92.0                   3.0  \n",
       "7               2.0                   3.0  \n",
       "8             108.0                   3.0  \n",
       "9              90.0                   3.0  \n",
       "10             56.0                   3.0  \n",
       "11             99.0                   3.0  \n",
       "12             98.0                   3.0  \n",
       "13             78.0                   3.0  \n",
       "14             51.0                   3.0  \n",
       "15             73.0                   3.0  \n",
       "16             94.0                   3.0  \n",
       "17            106.0                   3.0  \n",
       "18             93.0                   3.0  \n",
       "19            158.0                   3.0  \n",
       "20             18.0                   2.0  \n",
       "21            195.0                   2.0  \n",
       "22            140.0                   2.0  \n",
       "23            159.0                   2.0  \n",
       "24              1.0                   2.0  \n",
       "25             24.0                   2.0  \n",
       "26            107.0                   2.0  \n",
       "27              7.0                   2.0  \n",
       "28            145.0                   2.0  \n",
       "29             30.0                   2.0  \n",
       "30            177.0                   2.0  \n",
       "31            163.0                   2.0  \n",
       "32             79.0                   2.0  \n",
       "33            149.0                   2.0  \n",
       "34            151.0                   2.0  \n",
       "35            132.0                   2.0  \n",
       "36            129.0                   2.0  \n",
       "37            131.0                   2.0  \n",
       "38            141.0                   2.0  \n",
       "39            101.0                   1.0  \n",
       "40             47.0                   1.0  \n",
       "41              6.0                   1.0  \n",
       "42            173.0                   1.0  \n",
       "43            109.0                   1.0  \n",
       "44            188.0                   1.0  \n",
       "45              9.0                   1.0  \n",
       "46            147.0                   1.0  \n",
       "47            117.0                   1.0  \n",
       "48            192.0                   1.0  \n",
       "49            148.0                   1.0  \n",
       "50            124.0                   1.0  \n",
       "51            121.0                   1.0  \n",
       "52             72.0                   1.0  \n",
       "53            102.0                   1.0  \n",
       "54             62.0                   1.0  \n",
       "55             15.0                   1.0  \n",
       "56             60.0                   1.0  \n",
       "57            110.0                   1.0  \n",
       "58              NaN                   NaN  \n",
       "59              NaN                   NaN  \n",
       "60              NaN                   NaN  \n",
       "61              NaN                   NaN  \n",
       "62              NaN                   NaN  \n",
       "63              NaN                   NaN  \n",
       "64              NaN                   NaN  \n",
       "65              NaN                   NaN  \n",
       "66              NaN                   NaN  \n",
       "\n",
       "[67 rows x 96 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final_tipping_point_1980_2070.head(67)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "adpation_Option1 = np.array(df_policies['x1SnowThershold'])\n",
    "adpation_Option2 = np.array(df_policies['xGoodDays'])\n",
    "all_Policies = []\n",
    "\n",
    "for i in range(len(adpation_Option1)):\n",
    "    all_Policies.append('P' + '_' + str(int(adpation_Option1[i])) + '_' + str(int(adpation_Option2[i])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#all_Policies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final_tipping_point_1980_2070['Policy26_2020'] = df_final_tipping_point_1980_2070['Policy26_2020'].apply(lambda x: 'Plc_' + str(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final_tipping_point_1980_2070['Policy26_2050'] = df_final_tipping_point_1980_2070['Policy26_2050'].apply(lambda x: 'Plc_' + str(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final_tipping_point_1980_2070['Policy26_2070'] = df_final_tipping_point_1980_2070['Policy26_2070'].apply(lambda x: 'Plc_' + str(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_26 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy26_2020'].to_list()\n",
    "y_26 = df_final_tipping_point_1980_2070.loc[0:44, 'freq26_2020_policy'].to_list()\n",
    "x1_26 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy26_2050'].to_list()\n",
    "y1_26 = df_final_tipping_point_1980_2070.loc[0:44, 'freq26_2050_policy'].to_list()\n",
    "x2_26 = df_final_tipping_point_1980_2070.loc[0:44, 'Policy26_2070'].to_list()\n",
    "y2_26 = df_final_tipping_point_1980_2070.loc[0:44, 'freq26_2070_policy'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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": 31,
   "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[0:27, 'Policy85_2070'].to_list()\n",
    "y2_85 = df_final_tipping_point_1980_2070.loc[0:27, 'freq85_2070_policy'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[39.0,\n",
       " 9.0,\n",
       " 22.0,\n",
       " 27.0,\n",
       " 0.0,\n",
       " 14.0,\n",
       " 20.0,\n",
       " 23.0,\n",
       " 43.0,\n",
       " 28.0,\n",
       " 21.0,\n",
       " 41.0,\n",
       " 7.0,\n",
       " 24.0,\n",
       " 18.0,\n",
       " 19.0,\n",
       " 3.0,\n",
       " 35.0,\n",
       " 16.0,\n",
       " 38.0,\n",
       " 33.0,\n",
       " 25.0,\n",
       " 31.0,\n",
       " 37.0,\n",
       " 42.0,\n",
       " 44.0,\n",
       " 4.0,\n",
       " 15.0,\n",
       " 5.0,\n",
       " 8.0,\n",
       " 1.0,\n",
       " 30.0,\n",
       " 17.0,\n",
       " 6.0,\n",
       " 32.0,\n",
       " 26.0,\n",
       " 12.0,\n",
       " 40.0,\n",
       " 10.0,\n",
       " 13.0,\n",
       " 36.0,\n",
       " 2.0,\n",
       " 34.0,\n",
       " 29.0,\n",
       " 11.0]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[65.0,\n",
       " 65.0,\n",
       " 64.0,\n",
       " 64.0,\n",
       " 62.0,\n",
       " 61.0,\n",
       " 61.0,\n",
       " 59.0,\n",
       " 58.0,\n",
       " 58.0,\n",
       " 58.0,\n",
       " 58.0,\n",
       " 57.0,\n",
       " 57.0,\n",
       " 55.0,\n",
       " 55.0,\n",
       " 52.0,\n",
       " 52.0,\n",
       " 50.0,\n",
       " 49.0,\n",
       " 47.0,\n",
       " 44.0,\n",
       " 41.0,\n",
       " 41.0,\n",
       " 39.0,\n",
       " 37.0,\n",
       " 34.0,\n",
       " 33.0,\n",
       " 31.0,\n",
       " 28.0,\n",
       " 25.0,\n",
       " 25.0,\n",
       " 25.0,\n",
       " 23.0,\n",
       " 16.0,\n",
       " 15.0,\n",
       " 15.0,\n",
       " 14.0,\n",
       " 12.0,\n",
       " 11.0,\n",
       " 9.0,\n",
       " 9.0,\n",
       " 9.0,\n",
       " 7.0,\n",
       " 6.0]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "#y.reverse()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 8.75, 26.75, 38.75, -0.25, 13.75, 23.75, 19.75, 21.75, 42.75,\n",
       "       20.75, 22.75,  6.75, 27.75, 40.75, 18.75, 17.75,  2.75, 36.75,\n",
       "       34.75, 32.75, 37.75, 15.75, 43.75, 24.75, 30.75, 41.75,  3.75,\n",
       "        4.75,  7.75, 14.75, 29.75,  0.75, 16.75, 31.75,  5.75, 39.75,\n",
       "        9.75, 28.75, 11.75, 12.75, 33.75, 25.75, 35.75,  1.75, 10.75])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_26_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "title_Figs = 'case6_Davos Jakobhorn, elv_b 1560m'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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fh9z+VkxXOh7aY5njq/k3AStmiTVV5ld2XgxSKlemcv31bBeLwAd7/V/z3Y8GLJu/XeDOM86LarH+vscyU18U1tWm3bkqq6myf1WPdTdl+tbW64G/myWXp9dyOaHL/JUdF/ZdK7GqZe9JacGYlGHWN6jg64j1lllivXS25Sitq6bmf36WOBtTWq9NLfuILsscVpt/IbDFHO9fffmz6VEBVR1L11TL/arhffPmTH9p7ZlTbfkf1I7NDb5c1v6/NT3WP6+a/ydg8x7LbF7N73reXYD/eU3HOaTrl2RKxVL9C/+jFziPPWqxDxtgvQMoX+6/DryF8oX9mdW+/cXasZSU25Zu2yPOP9SWq98GfCylI+RnVfF/XZt3OV0qIDqOq//u43+YdfmOY+UMulS+VsvtU1sugdfPss1v1ZbbuYnjqbatlbVtreuyX21H+SHhh7XlbgDu2bHsJh3/360WMMd1tbgbvKfVMjtSWl1OLfeFIbazHdO3sibw9HnmPTHXXT58+Oj9mMQO7CSNWdX8eaoTzj9Rho9tRJZbcU6sXt6vujWjrn7LxT0Y3DMpX56hXITMlsv1lGb0AHeODUdH27b2/E6Ui7R7ZeZrM/MzmfnJzHwZ5faKqSbjT6luI5wkf6w9v+UwATLzT5SLfyi3jXQz1XQ/gOd2WyAiHkS5lQngqNzwdoun1p5/oMv8uqmWBp3rwfz3o3Go35bYV0fOUTrU/hHlS84NlD6m3t9j8QdRbnkB+EZmntFjOTLzKMotWwAPjogdZknjRmaONNgZ60zKLXEAOzF962OvWB+cZf53a8/v3mV+fT/4r1lyupHpUbE61+vm49l7VKxuPpw9RiuqjqWpW61uP1eH4fP0aEprMYD/6ZVTzaerv1szffvwIKbW35LSr1U3T67mQ/O3+/xvZv6124zMTKZHKoPp2wPH7ShKRdFjM/PtmfnpzDwyM/8nM58G3JvpY/M2lAqabratPZ+6DfhFmfn4zPxoZn4+M99OOT9OHVfbUfoC67Rl7XnX8uxQP29vNceyH83et8T+qPb8RuCjs8Q5ofa827mhKberdTo+VbF/OTNvM74e2Kc6F9bdouP1FQ3l+KiIeHLt8byIeB/l1sepzsP/RKlk7Ft17fg5pm9l/Vr12TEf29aet/m6S1rU7FNJUjf3onyJAPhe9aVnKNXoK08Gnka5jeY2lIvKbpXaW1XbvbI27QTKBelmwP5RRno6PDNP7zOFh9Se7xART55j+XpfAnejXMBM6cx5dWZu0FdAZv40Iv6NMuoNlNtNjuwr29Go/x/ZbYGqH6pnUr4I3ptS+bAl3fvO2qnHdo6m3G64OeXX9W6Vk8+rPf90l/n3qz3/Vo/tAJCZv4mIcyjv210jYuvMnLrInO9+tOCqSssXUlow3JVy8dyrQqFXGdfjPYJyO9OWlEq0p2fmN2ZZpe+yrRzP9JfR+1NuI+zmrMyca0jr7wKPrZ7fl/JrdDfnZeYfe8yD0jJjyoxR4KoK6qkKq8sy85Q5cvpm7flclXg/nGN+p17/35Sp/yMo+8HvB4zfr/r5cMs+zoe3rT2/G6XVzyA+Tbn1Ccqx/tkuy9TPAUd0mb+QvjPA/NkqO0emS8VD5/yzImJvSiX/ZsAjIuL+mXlix6Kdn1+fyczDusS7JiKeQ2lBvDnwmIi4S2ae1yuFfv6PAXTmXVc/r5ybmVf2XHLmsn2NEDki36L0bbdujDnMVhkH5Xy0Tw7ev9tBlEEaoPQXte+A63ezWK67pEXNSiVJ3dS/wPY9lG2nqoPlL1E64u7XjEqlzLw8Il5NqZxYBrwGeE1EXEppyfFDSiuLXnmurD0/bIA8YMML0Xrl2gWZOVvHs58A3ktpzn7/iNgyM68ecPtN2bb2fIMhpSPi7yi3Vdy5c14PW3ebmJlXR8SXKE3U7x4Ru2XmqbXtbML0ENMX0v0L646157/oI5fzKF9+g9K561VVLvPdjxZURLyK0iHtzfpcpWsZ19yK0qH1ppSWaI/LzB/PsU69bHt9YayrL7Njz6WmW03Mpr7MbWZZ7rLZgmTmtbXGjZ0VcltTvhRDH/tOZq6PiCspQ67P9v/BzMqsfsz6f1Bu0Z3SZEullbXn7xpw3YG/mGfm+RHxf5RWcY+KiOVZ64i/avE21THxjzLz/EG3MaBZ983qPHEF5Rw52345UTLzVxHxScptbFAGnOisnOn8cajn4AmZeUlEfJlyuxmUjtTrx3/9s2yzPlKsLzPXj1R/mCWv+vHec7nKqI6pTuuZOZjBlpTK+H0pnYw/gtLJ9Nu7rNv5ebwtMyvHmvIXSnn+jPI58ulBf0yMiHdQOkiHkvMjM3Ou814/Fst1l7SoWakkqZv6F9ihPpCrCoNvMt3s/DLK6E1nUi44/kppFg6lv4WHV883pkNmfrRqgfKWarmNKLdwPLl6vKf64vLqzDypY/Vthsm/smnH6ytqz2dt9ZCZf46Icyn9x2xM+TI36y/OI7Sy9rxzpLVbUEbRmbpF5kJKnxvnVMv+lelfpv+dcqvEbLdSf4pSqQSlRcKptXmPYfr2uyOq2086Td0qcUNmXttlfqf6/jrjNot57kcLJiKey8zbbH5IGWlvHeUCeuqWpB2Y/kV5g+OiM2xtmU3ZcN/tpl4+/dzK1bNsO/QzSlh9e1v2XGr6HDGMQf8/KP/jNsx9i85st2F2M5//YyEt5PmwX5+iVCoto/Rt9oHavGczfS06ipGu+t03t2X2/XISrWG6UmmXLvOv6Hg9V8u9k5muVLrjLLH6uYW6vkxnHp36PVYm5ZjqdE1mfqlzYlXp8nnKbZVvi4hLMvPg+jJZRk1cz/RIp3ekmUql2y9kS6mIeDPw/6qXl1H6pOvnh4p+XFF73ubrLmlRs1JJUjf1IWSHvbDeh+kKpeMpnSN3/WJXfcmeVWZ+nzLc9y0pt3A8kDJ8930plQMPAk6IiEdl5praqlNfhG+gdPI82/DlczkX2LN6Pluz+yn1ZebzZW7BVLcE1W976qw8+WemK5QOB17aq8yqpuZzOZ5yK8+tgX0i4l9zevjpuW59g+lfKZdFxKZ99AFT3183+KV1HvvRQnpb9fcG4Im9blGLiEH6fvo9ZSS3Iyij830tIh5X/b+91Mtniz62MWvZ1mw+y7xu22vql+RB/z+Y/h+HvuV3wtXLemW320gacCTltphNKcd8vVJp6hxwHaO5VWWqU/DZTO0rbWvhUG+5061V2bm151m7NbiX2T6/6hUGK+dOjdv1WHfJqCqMXgD8HNgZeF9EfLPLMfgjyo8cUD6P/o8JFhGvZ7rV1R8pLZQWsiKn9ddd0lJgR92Surmo9vxuQ8Z4RO35q+fo1PZ2s8ybITP/kJlfysw3ZOYDgBXAZ6rZmzCzs12Yvk1lGdMdUA6r3v/OXLcjwcwLmn4uhkbhMUzf/nYN0x0ET5l6326gjBo2WyXcnO9b1QHy56qXO1JuoyAitgaeUE0/NTPP6hHid7Xn/dyON7VMMku/NEPsRwsiIu7AdMfkX5qjz6O+jwuAzPw8pVXYDUxXLD1sllWGLVsoo/v0cqdZ5nVbZrZY83EV0y1T5vz/ImI508dsUzmNW/22vZF0WJ+Zl1NGLoMyGMOdASLiLkz3W/S1OfrOWiiz7ptVS81tq5dt2wfmag10FqVzayi/L8zVGm+2z6+fM91SaLeq78TZrKo9X7ItR6pbsaZ+jNkceEeXxer92z2vy/yJUd1SPjUAwlWUERNPW+DNLIbrLmnRs1JJUjenM91a6eF9XHx2c6va81/1WqjqU2PXIeIDkJm/pXR2PFWBcJ+IqPffUG+pMd/RfOoVALvPtmBEbMH0LQjXU4ZpHqtqZJZ666JPZhnxrm7qfftDZl4xS6zdmG6iP5f6bS1TF8lPZ7qfi9lue6m3pHpkz6VKTjtTOrwGOKePX+L/po/9aKH0dVxUHj1o8Mw8kpkVS1+fpWKp77LtssxstwfeIyJuNct8mL7dFeCnfWx7YNXtlFOxt4+IXedY5VG1543d/jhmC3k+HES3c8Dzesxv0p4DzG9kv2xQ/TjfoDVQ9cNOvYP5ufo6rM+fEa86t051Pr8Ns4wMWJ2Xp1ot/yYzfz7Hdhe7zzDdt9dzurRI/RTTfSvdOyImZRTCGSLinyj9F0Fp/bd3ZjZxzLT6uktaKqxUkrSBqnXJ1Cg9WwFvGiJMve+Kzv4Y6t5EaRkytKo1Tb11Vf3W3s8x3UfNqyPi1vPYzgXAVOfHKyNiti/iL2L6/zphjpZajatue/tvSnN6KGXyzi6LTr1vO8xRmfjWfrddjbo19UXiqRExNRoclF/Ou40INeXo2vP95hhu/V+Z/lz7Yr/51fKcbT9aKH0dF1Un9y8aZgOZ+QWmK5Y2p1Qs7dFl0f9juhLtcRHRc9jtiHgq0619TsjMS2dJYWNKP2m9Yt2d6Qqzi2j2y3t9P/jXWXLaGHhtj/UWk68z3Wn4Cwa8xXI+jqXcGgPw3Op8NHXb8x8pnQOPwj9WI1v28ura86N7LjVhIuKOlErxKV/vsWj9XPuyWeLdijLyJ5QWSd1Gh/x87fkrZ0lvP6ZHDV3yo3FV11dTneQHsH/H/KuZ+dl8cETclT5FxMMj4hXzTnT2bbyM6dtY/ww8to+BIYbS5usuaSmxUklSL//FdJ8Sb4iIV0Zt2JW6iNi2S2uI+hfFt3drHh8Rq5nly2e1zHMj4kWztRqJiAcAu1Uvz6+PWpKZFzJ98XNL4JsR0fMWiCj2mqW/oDfXnh8cERvcohQRq5jZrP3dvbY3ChFxL8qXtlfVJr+0R38qU+9bUDri7owVEfE2pvt86NdUn0lbAv/I9K/q387M2W5TO53pXyrvAHwiIjboMDgins/0yDN/Aj7UMX9e+9ECOpvpTqOfFBH361yg+kL3ZebuLLqnqmJpH6Yrlr7WWbFU9U811WH4MuALEbHBqGfV/lMfgrpbZWSnf42Ix3eJtZxS0TtVYff+6ktWUw4DpirAnhMRG5xvqgqlDzL93v80M+caer6Vqi9ZB1YvN6VUOK6aZRUi4r4RMehIcZ3bvQ74QvXyjpTRF6duAz2yj77SFsodgEMiYkaFcXVe+w+mK91Pp/QHN1YR8YSIeHq1j/Za5h7AcUyPsLYmM3v1w3MY0y0knxMRL+xcoKr0P4LpvtGO6tGp86FM3yL4zB6xHsF0Rd3VNHRbcQsdznTZPT0i7tkx/7+Z/tzbHvhRRDyn1zUYlB8iIuLDlP12rpaiQ6s+az9CuUa4Bnh8Zp4wZKx9IyKrx5pZFm3ddZe01NhRt6SuMvPXEfESyi+bGwHvB14cEUdRmm4ncFtKR8ePoXxhqN9a8XHKaCBbUG6zOCUiPkVpmXAr4KmUioXfA2fQ+/abO1N+yftARBxPqfS4kDJc8A6UzpafzPTIV//RJcabKLfY7QXcC/h5lOGSf1Btf5Mqp3tXedwG+A5d+jvIzO9WF26voHRQenpEHErpm2hZlc8LmR4p6ZA5+s1ZCH8fEdvWXm9O6RfkrpQvSfXbGP4KvCYze91u8iHgxVStTapbho6mlNPOlBYwu1FaHv2FuW+hmHIEpTyj+jtVydjPbS+rKaO+LKeMFrV7RBxO2Q+3BZ5IGUJ7yisy83cdMRZiP5q3zLwuIj5K+VK9CfCDiPh4lc/1lOb9L6L8X58EXjCPbR0VEUmpxJmqWHp8Zn6vtth7KH1b/T3lFpWzqnxOoezPD6bsz1OtOw7JzLlalayhHG9fiYgvUEaBvIZy7L2U6dsmT6J04NyYzPxTRLyIMvLkxsBB1e0kR1FGM1xBGd77XtUqf2IeZd6kiFjHdD9bDx+2I/nM/GBE3Jfyf64AToqI4yjnvIsox+j2wN9Rzpl3pFREvH4++VOO9amh1v+jY/qofInyfu9WnUN+Qzn370P5LINyTnhJj9Eo+1Kdj1/XMbn+RXi3iOistP9uZn63Y9odKRW/66v36DTKufj6Ku89KC2Kpq7nL2Zmi6UZqvPPiygVDzcDDouIp1OOjysp/Q6+hOnOt39LaWnULdY11Q9DX6YcW5+IiMdRKkNuoHy+v6CW26szs4mRzIYWEYcxXV4HZuYBo9hu9T68l1J5FJSWv8+szc+IeBblVrnHA7egfIa+LSK+Qekf6w+UH2l2oty2+WDm2ep7LhHxGOATTH9+fxzYNiKePMeqp2Tmb4bd7oRed0mqy0wfPnz46PmgXNCsp1Qizfb4eJd1n0SpeOi1zkWUjloPq01b2RHjrX1sOym3c71hlv9jU0qLpRv6jHf4LLE2Av6HclvAbDE+ACxr6H1Z0+f/US+fLwJ37SP2Kyi3pfWK9XNKh7d/y6HPnL/XEedPwBZ9rnsX4Jw5/sc/Ay/osf6C7Ed95Bm1WDf2WObmwHfnyOMjlFYVU68P6xFrXTV/3Sw5PZXyJXSqjB7eMX9L4Ktz5HNTtT9v1GMbK+u5Ujp8/+Ms8U4CbjlLzlPLremjzOdclnIuumKO//ECYPdZYhxWW3ZlH3n1vXw/y9be6wT2GHYfre2nb6ZUMvdzXHQt2wHfpwDO74j7q/n8H33+r2tq29sWOGGW//Mq4HELsM2Vs2yj1+OALnFeNcD6PwBu12d+j6G04Jst3hnAHfqI9VzKuXy2c+qrF/BY6WufA/atLbtvH9vdoPyHfL/X9bnOlpSKoanz6z27LLMR5QeIud6rqcc1lB8KtusSa12/ZTxLzgcMsV/PVv7192iu93Ps110+fPjo/bClkqRZZeaxUUaseimlNcg9Kb+a3UD5VfRUyq1VX+iy7pcjYnfKL9x7UYaVv4pycfNl4EOZ+YdZWnRDadXyTcovcQ+ltL65FeUXuT8Bv6BUVhyamb/sFSTL7RX7RcRBlF9iH0750r4d5aL3EsqtSScAx2bmGbPEuonSiuczVaw9KK2boPyy+33gw1n6Ehq1Gym3GVxFGd3rNMqveV/JPn8lzswPR8SplIvZh1BuG/wjpWXQUcBHs/xKPWhun6KU1ZRjss8+DzLzvIj4O8qvkU+ntCq7JeV//TXl9o//zcxeIzYtyH7Uh3qfT12HJM/Mv0bEoyh9mjyfckxtSmmBcCLwscz8VkSsnEce9e0dXf3qPdVi6dh6i6UsfXg8ISIeTWlZ8GBK2dxI2Z/XAAdn5skDbPPbUTpzfyXwWMqv6ddTKiQ/XcWbbWTBBVWdi+5IufXycZRK0a0p+/WZlPPRIZn5l1HlNIT6rZuX9VyqD5mZwL9HxMco5/a9KB3c3oLype0ySiXuj4GvZ+ZPesUaZJsR8WngLbXJR8w37oA5XBERD6cce8+l/M9bUn7g+Drw7iy3TE+KT1GOwQdSRlC7DaUV2RaUc/yFlA6zP5cDtFzLzG9E6dvs5ZQK1ztQjofLKa0UjwQ+3c8xmplHRMQJTB9bKygVAL+ltIj6cPYe3XPcNq89Xz/KDWfm1RHxQcoPHlN9Kz2jY5mbgPdWrVufRmlJfR9K69ptKD8SXEJ5z74DfCEzF+WIZxN+3SUteVGuKyRJ0nxVFbBTfZb8MjPnHMpemktE7EKp5IFSQfykceYjLQYRcTGwI+UHmDtl5jVzrCJJ6sKOuiVJWjj3rT0/c2xZaLF5RPX3JkpfdZLmoergfGpggrdZoSRJw7NSSZKkBVCNSvea2qRRDZOuxW+qUulTE3wrkdQmU8fULykj2UmShmSfSpIkDSki7koZNW1nSqeju1azLqL0YSTNS0RsROk/5FpKvyuS5m+v6u9bRtm/myQtRvapJEkjEhGbA4+aR4hzMvOcuRfTqETEAWz4Rf8KyghS/zfyhKRFourMfvM5F+zussw8YSHzkSRJ3dlSSZJGZwfgmHmsfyBlSF9NlqSMIHc+ZRS6gzLz9+NNSWq9g4HbDbnu95k50qQkSWqIlUqSJA0pMw/Aij5JkiQtUYvm9rftt98+V65cOe40JEmSJEmSFo2TTz75ssxc3m3eommptHLlStauXTvuNCRJkiRJkhaNiLig17yNRpmIJEmSJEmSFgcrlSRJkiRJkjSwsVcqRcS2EXFURJwTEWdHxAMj4t4R8eOIOCMivhoRW487T0mSJEmSJE0be6UScBBwXGbeFbg3cDZwKPDGzPw7yvDb/zrG/CRJkiRJktRhrJVKVQukhwIfA8jM6zLzCmAX4AfVYscDTxtLgpIkSZIkSepq3C2V7gCsBz4REadGxKERsQVwJvDEaplnADuPK0FJkiRJkiRtaNyVSsuA3YEPZ+ZuwJ+BNwIvBv4pIk4GtgKu67ZyRKyOiLURsXb9+vWjylmSJEmSJGnJG3el0kXARZl5YvX6KGD3zDwnMx+VmfcBPgv8qtvKmXlwZq7KzFXLly8fUcqSJEmSJEkaa6VSZv4euDAidqkm7QX8PCJ2AIiIjYA3Ax8ZU4qSJEmSJEnqYtwtlQD2A46IiNOBXYH/APaJiPOAc4CLgU+MLz1JkiRJkiR1WjbuBDLzNGBVx+SDqockSZIkSZIm0CS0VJIkSZIkSVLLWKkkSZIkSZKkgVmpJEmSJEmSpIFZqSRJkiRJkqSBWakkSZIkSZKkgY199LeFcsGVF7D6q6vHnYYkSZIkSdKSsGgqlSQtTYccsuG0l71s9HlIkiRJ0lITmTnuHBbEqlWrcu3ateNOQ9KIRWw4bZGc1iRJkiRp7CLi5Mxc1W3e2PtUiohtI+KoiDgnIs6OiAdW0/eLiHMj4qyIeNe485QkSZIkSdK0Sbj97SDguMx8ekRsCmweEQ8HngTcKzOvjYgdxpuiJEmSJEmS6sZaqRQRWwMPBfYFyMzrgOsi4hXAOzPz2mr6pWNLUpIkSZIkSRsY9+1vdwDWA5+IiFMj4tCI2AK4C/CQiDgxIr4fEfcdb5qSJEmSJEmqG/ftb8uA3YH9MvPEiDgIeGM1fTvgAcB9gSMj4g7Z0at4RKwGVgOsWLFipIlLmlxxYJfeu4Hc3x68JUn9cSAISZLmNu6WShcBF2XmidXroyiVTBcBR2dxEnATsH3nypl5cGauysxVy5cvH1nSkiRJkiRJS91YK5Uy8/fAhRGxSzVpL+DnwJeAPQEi4i7ApsBl48hRkiRJkiRJGxr37W8A+wFHVCO/nQ+8CPgz8PGIOBO4Dnhh561vkiRJkiRJGp+xVypl5mnAqi6znjfiVCRJkiRJktSncfepJEmSJEmSpBYae0slSZIkSZIWi26jR4IjSGpxsqWSJEmSJEmSBmalkiRJkiRJkgZmpZIkSZIkSZIGZqWSJEmSJEmSBmalkiRJkiRJkgbm6G8TqNtoAY4UIC0Ah+KYSL4t0mTw+kOSmhUHbniizf090ardbKkkSZIkSZKkgY29pVJEbAscCtwTSODFwGOBJwE3AZcC+2bmxePKUZIkSZIkSTNNQkulg4DjMvOuwL2Bs4F3Z+a9MnNX4FjgrWPMT5IkSZIkSR3G2lIpIrYGHgrsC5CZ1wHXdSy2BaUFkyRJkiRJkibEuG9/uwOwHvhERNwbOBl4ZWb+OSLeAbwAuBJ4eLeVI2I1sBpgxYoVo8lYkiSNTBs7cm9jzpIkScMY9+1vy4DdgQ9n5m7An4E3AmTmv2XmzsARwD93WzkzD87MVZm5avny5aPKWZIkSZIkackbd6XSRcBFmXli9fooSiVT3WeAp400K0mSJEmSJM1qrJVKmfl74MKI2KWatBfw84i4c22xJwLnjDw5SZIkSZIk9TTuPpUA9gOOiIhNgfOBFwGHVhVNNwEXAP8wxvwkSZIkSZLUYeyVSpl5GrCqY7K3u0mSJEmSJE2wsVcqSZIkjUO3UdomfYQ2R5Ybrziw+xuQ+/sGSNI4tPGzfLEZd0fdkiRJkiRJaiErlSRJkiRJkjQwK5UkSZIkSZI0MCuVJEmSJEmSNDArlSRJkiRJkjQwR3+TBDiikCZPt1GWHGFJ0kTyQ1SStETZUkmSJEmSJEkDG3ulUkRsGxFHRcQ5EXF2RDwwIm4REcdHxC+qv9uNO09JkiRJkiRNG3ulEnAQcFxm3hW4N3A28EbgO5l5Z+A71WtJkiRJkiRNiLFWKkXE1sBDgY8BZOZ1mXkF8CTg8Gqxw4EnjyM/SZIkSZIkdTfulkp3ANYDn4iIUyPi0IjYArhVZv4OoPq7wziTlCRJkiRJ0kzjrlRaBuwOfDgzdwP+zAC3ukXE6ohYGxFr169f31SOkiRJkiRJ6jDuSqWLgIsy88Tq9VGUSqZLImJHgOrvpd1WzsyDM3NVZq5avnz5SBKWJEmSJEnSmCuVMvP3wIURsUs1aS/g58BXgBdW014IfHkM6UmSJEmSJKmHZeNOANgPOCIiNgXOB15Eqew6MiJeAvwGeMYY85MkSZIkSVKHsVcqZeZpwKous/YacSqSJEmSJEnq07j7VJIkSZIkSVILjb2lkiRJkrRURHSfnjnaPCSpznOThmVLJUmSJEmSJA3MSiVJkiRJkiQNzEolSZIkSZIkDcxKJUmSJEmSJA3MjrolSVoiunXCuRAdcNq5pyRJ0tJkSyVJkiRJkiQNzEolSZIkSZIkDWzst79FxDrgT8CNwA2ZuSoiPg/sUi2yLXBFZu46lgQlSZIkSZK0gbFXKlUenpmXTb3IzGdNPY+I9wBXjiUrSZIkSZIkdTUplUpdRUQAzwT2HHcukiRJkiRJmjYJfSol8K2IODkiVnfMewhwSWb+otuKEbE6ItZGxNr169c3nqjGI2LDhyRJkiRJGq9JqFR6cGbuDjwG+KeIeGht3j7AZ3utmJkHZ+aqzFy1fPnypvOUJEmSJElSZeyVSpl5cfX3UuAY4H4AEbEMeCrw+fFlJ0mSJEmSpG7GWqkUEVtExFZTz4FHAWdWsx8BnJOZF40rP0mSJEmSJHU37o66bwUcU/rjZhnwmcw8rpr3bGa59U2SJEmSJEnjM9ZKpcw8H7h3j3n7jjYbSZIkSZIk9WvsfSpJkiRJkiSpfaxUkiRJkiRJ0sCsVJIkSZIkSdLArFSSJEmSJEnSwKxUkiRJkiRJ0sCsVJIkSZIkSdLAlo07AUmSJE2mODC6Ts/9c8SZSJqv6H44kxN+OHfLe9JzHkhb35gJ5mfXaNlSSZIkSZIkSQMbe6VSRKyLiDMi4rSIWNsx73URkRGx/bjykyRJkiRJ0oYm5fa3h2fmZfUJEbEz8EjgN+NJSZIkSZIkSb2MvaXSLN4HvB7wxkdJkiRJkqQJMwmVSgl8KyJOjojVABHxROC3mfmz8aYmSZIkSZKkbibh9rcHZ+bFEbEDcHxEnAP8G/CouVasKqFWA6xYsaLZLMfMHuwlSW3T5GdXt9iT/pnoZ7kkSVpsxt5SKTMvrv5eChwDPAy4PfCziFgH7AScEhG37rLuwZm5KjNXLV++fIRZS5IkSZIkLW1jrVSKiC0iYqup55TWST/NzB0yc2VmrgQuAnbPzN+PMVVJkiRJkiTVjPv2t1sBx0TEVC6fyczjxpuSJEmSJEmS5jLWSqXMPB+49xzLrBxNNpIkSZIkSerXuFsqSZIkaZ7a2HG5JElqv7F31C1JkiRJkqT2sVJJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkDs1JJkiRJkiRJA3P0N0mSpEq3UdTAkdQkzRTdTxWkpwotMn4uai62VJIkSZIkSdLAxl6pFBHrIuKMiDgtItZW054REWdFxE0RsWrcOUqSJEmSJGmmSbn97eGZeVnt9ZnAU4GPjikfSZIkSZIkzWJSKpVmyMyzAaLXzcqSJEmSJEkaq7Hf/gYk8K2IODkiVo87GUmSJEmSJM1tEloqPTgzL46IHYDjI+KczPxBPytWlVCrAVasWNFkjpIkSZIkSaoZe0ulzLy4+nspcAxwvwHWPTgzV2XmquXLlzeVoiRJkiRJkjqMtVIpIraIiK2mngOPonTSLUmSJEmSpAk27pZKtwJOiIifAScBX8vM4yLiKRFxEfBA4GsR8c2xZilJkiRJkqQZxtqnUmaeD9y7y/RjKLfCSZIkSZIkaQJNQkfdC+KCKy9g9VcXyeBxT+h/0UXzP8+mS3ms/uro01j0eux3E1/WgxwvvZZdCsfRJPOcNzpNnU8HeA/LNgd4H5vcP5qKbXksDk19vrT181YztfF9bGPO0M7vAm28Pm3ys6tJfnaN3aKpVJLUjENOOaTr9Jft/rIRZyJNjkO6Hxa8zMNCS4UHgaSW8zQmLYzIzHHnsCBWrVqVa9euHXcaCyKiy8QDuk2E3H9xvH+z6VYei2S3nShd9zuY+H1voOPlgB5B3KHGapB9b6L3OyZ/V2rqfNrk+aPJ/aOpz9slUR4H9Agy6QfBAJoqj7aePzRTG9/HNuYMo//sGvXn4qScT5fEd4EJybmNIuLkzFzVbd64O+qWJEmSJElSC1mpJEmSJEmSpIFZqSRJkiRJkqSBWakkSZIkSZKkgTn6myRJkiRJUqWtHduPgy2VJEmSJEmSNLCJqFSKiI0j4tSIOLZ6vWtE/CQiTouItRFxv3HnKEmSJEmSpGkTUakEvBI4u/b6XcCBmbkr8NbqtSRJkiRJkibE2CuVImIn4HHAobXJCWxdPd8GuHjUeUmSJEmSJKm3Seio+/3A64GtatNeBXwzIv6bUvH1oG4rRsRqYDXAihUrGk1SkiRNuLb2qtkt70nPeQBtfVskSdLcxtpSKSIeD1yamSd3zHoF8OrM3Bl4NfCxbutn5sGZuSozVy1fvrzhbCVJkiRJkjRl3C2VHgw8MSIeC9wc2DoiPg08gdLPEsAXmHlrnCRJkiRJksZsrC2VMvNNmblTZq4Eng18NzOfR+lD6WHVYnsCvxhTipIkSZIkSepi3C2VenkZcFBELAP+StVvkiRJkiRJkibDxFQqZeYaYE31/ATgPuPMR5IkSZIkSb1NTKWSJEkavTiw+9Bcub9Dc0mj5LEoSWqjsfapJEmSJEmSpHayUkmSJEmSJEkDs1JJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkDc/S3tovuI4WQjhQiSZKkyeal7Pg58qCk+bClkiRJkiRJkgY2EZVKEbFxRJwaEcdWrw+IiN9GxGnV47HjzlGSJEmSJEnTJuX2t1cCZwNb16a9LzP/e0z5SJIkSZIkaRZjb6kUETsBjwMOHXcukiRJkiRJ6s/YK5WA9wOvB27qmP7PEXF6RHw8IrYbfVqSJEmSJEnqZayVShHxeODSzDy5Y9aHgTsCuwK/A97TY/3VEbE2ItauX7++0VwlSRMgovtD7dLG99B9T5KkdvOzvBHjbqn0YOCJEbEO+BywZ0R8OjMvycwbM/Mm4BDgft1WzsyDM3NVZq5avnz56LKWJEmSJEla4sZaqZSZb8rMnTJzJfBs4LuZ+byI2LG22FOAM8eSoCRJkiRJkrqalNHfOr0rInYFElgHvHys2UiSJEmSJGmGialUysw1wJrq+fPHmowkSZIkSZJmNe4+lSRJkiRJktRCE9NSSRpEHNi9l/7cP0eciSRJkiQtMd1GTUu/iy1FtlSSJEmSJEnSwAauVIqITZpIRJIkSZIkSe0xTEul30bEf0XEnRY8G0mSJEmSJLXCMJVKGwH/CpwbEcdHxNMiwr6ZJEmSJEmSlpBhKpVuAzwP+CGwF3AkcGFEvCMibr+QyUlNiuj+UJ8sPEmSJElz8HvX4jZwpVJmXpeZn8nMPYC7Au+njCL3JuAXEfH1iHhSRNgJuCRJkiRJ0iI1r4qfzDwvM18L3Jbp1kt7A0cDv4mIAyLiNnPFiYiNI+LUiDi2ev3uiDgnIk6PiGMiYtv55ClJkiRJkqSFtSCtiTLzOuBrwDHAxUBQbpN7K/DriHh/RNxslhCvBM6uvT4euGdm3gs4j9IKSpIkSZIkSRNi3pVKEfGAiPgEpTLpfcAWwP8AuwIvBs4F9qPcJtdt/Z2AxwGHTk3LzG9l5g3Vy58AO803T0mSJEmSJC2coUZti4itgOcDLwfuSWmZdArwYeAzmfmXatHTI+JTwHHA04FXdAn3fuD1wFY9Nvdi4PPD5ClJkiRJkqRmDFypFBGHAs8CNgeuBT4FfCgzT+q2fGbeGBFrgD27xHo8cGlmnhwRe3SZ/2/ADcARPXJZDawGWLFixaD/iiRJ0uLVa2idzNHmIS0hceCGx13u7zG30LqVM1jW0jgM01LpxcCvgI8An8jMy/tYZw3wti7THww8MSIeC9wc2DoiPp2Zz4uIFwKPB/bK7H71k5kHAwcDrFq1yjOIJEmSJEnSiAxTqfSYzPzmICtk5o+AH3WZ/iaqTrirlkqvqyqU9gbeADwsM68ZIkdJkiRJkiQ1aOCOugetUBrSByl9LB0fEadFxEdGsE1JkiRJkiT1aZg+lfYCngu8OTMv7jL/NsC/A5/MzDX9xq2WXVM9v9OgeUmSJEmSJGl0hrn9bT/grt0qlAAy8+KIeCCwDVUlkSRJkiRJkhaXgW9/A3YH/m+OZU4AVg0RW5IkSZI0bhEbPiSpwzCVSjsAXVsp1VxSLSdJkiRJkqRFaJhKpSuBnedYZmfgz0PEliRJkiRJUgsMU6l0EvDkiLh1t5lVR91PrpaTJEmSJEnSIjRMpdIHgK2AH0bEEyPiZgARcbOIeBLwA2BL4H8WLk1JkiRJkiRNkoFHf8vMb0XE24G3AMcAGRF/BLYDonq8LTOPW9BMJUmSJEmSNDEGrlQCyMz9I+JHwH7A/YFtgcuBnwAfyMzjFyxDSZIkSUtKHNh9pLHcP0eciSRpNkNVKkFpsQR8awFzkSRJkiRJUksM06fSgomIm0fESRHxs4g4KyIOrKbfOyJ+HBFnRMRXI2LrceYpSZIkSZKkmYZuqQQQEVtQbn3buNv8zPzNHCGuBfbMzKsjYhPghIj4BqUz8Ndl5vcj4sXAv1L6cJIkSZIkSdIEGKpSKSKeD7wBuNssi+Vc8TMzgaurl5tUjwR2oYwiB3A88E2sVJIkSZIkSZoYA1cqRcS+wMeBG4EfAhcCNwybQERsDJwM3An438w8MSLOBJ4IfBl4BrDzsPElSZIkSZK08IZpqfQ64I/A32fm2fNNIDNvBHaNiG2BYyLinsCLgf+JiLcCXwGu67ZuRKwGVgOsWLFivqlIkjQvi2q0ouj+v5At/F80kRbV8aLR6XZu8rwkSWMzTEfddwKOWogKpbrMvAJYA+ydmedk5qMy8z7AZ4Ff9Vjn4MxclZmrli9fvpDpSJIkSZIkaRbDVCpdDvx1ITYeEcurFkpExGbAI4BzImKHatpGwJuBjyzE9iRJkiRJkrQwhqlUOhbYI6JXu/iB7Ah8LyJOB34KHJ+ZxwL7RMR5wDnAxcAnFmBbkiRJkiRJWiDD9Kn0JuBHwEci4rWZefVcK/SSmacDu3WZfhBw0LBxJUmSJEmS1KxhKpW+AFwDvBR4TkT8Ariiy3KZmXvNIzdpcHYsK0mSFhM7ppZGykEEpMEMU6m0R+35FsCuPZbzqJMkSZIkSVqkBq5Uysxh+mGSJEmSJEnSImIFkSRJkiRJkgZmpZIkSZIkSZIGNlSlUkRsFBH7RcRPIuLKiLihNm+3iPhQRNxl4dKUJEmSJEnSJBm4T6WI2BT4BqXD7suBPwFb1hb5NfBiYD2w//xTlCRJ0pLhaGdabBydWNIiNkxLpX8FHg4cCNwKOLQ+MzOvAH4APHq+yUmSJEmSJGkyDVOp9FzgR5n5tsy8CehWxf5rYMVcgSLi5hFxUkT8LCLOiogDa/P2i4hzq+nvGiJPSZIkSZIkNWTg29+A2wNfm2OZy4Fb9BHrWmDPzLw6IjYBToiIbwCbAU8C7pWZ10bEDkPkKUmSJEmSpIYMU6n0F2DbOZZZAVwxV6DMTODq6uUm1SOBVwDvzMxrq+UuHSJPSZIkSZIkNWSY299OAx5Vddi9gYjYhtKf0kn9BIuIjSPiNOBS4PjMPBG4C/CQiDgxIr4fEfcdIk9JkiRJkiQ1ZJiWSocARwBHRMRL6jMiYlvgE8B2wEf6CZaZNwK7VuseExH3rPLaDngAcF/gyIi4Q9Wyqb691cBqgBUr5uzCSZIkSZK0WDnSXqvEgRu+X7m/71XbDNxSKTM/S6k4ehqwnnKrGhGxFvgdpS+kD2Xm1weMewWwBtgbuAg4OouTgJuA7busc3BmrsrMVcuXLx/0X5EkSZIkSdKQhrn9jcx8CfBi4OfAciCA3YFfAi/JzP36iRMRy6sWSkTEZsAjgHOALwF7VtPvAmwKXDZMrpIkSZIkSVp4w9z+BkBmHgYcVlUGbQdcmZl/HjDMjsDhEbExpYLryMw8tuqv6eMRcSZwHfDCzlvfJEmSJEmSND5DVypNycy/UEaEG2bd04Hduky/DnjePFOTJEmSJElSQ4a6/U2SJEmSJElL28AtlSLi/D4Xzcy846DxpcXAgSckSZKkRaTbBb4X99JQt79tBHQ7erYBtq2eXwxcP2ROkiRJkiRJmnADVypl5spe8yLiTsD/AFsAjx4+LUmSJEmSJE2yBe1TKTN/CTwVuC2w/0LGliRJkiRJ0uRY8I66M/OvwPHAPgsdW5IkSZIkSZOhqdHfbgBu3VBsSZIkSZIkjdkwHXXPKiK2B54CXLjQsSVJaiVHjJEkSWq9OLD7MN+5/9K9rhu4Uiki3jpLrJ2BJ1FGgnvTPPKSJEmSJEnSBBumpdIBc8y/Cvj3zHzXXIEi4ubAD4CbVbkclZn7R8TbKZVTNwGXAvtm5sVD5CpJkiRJkqQGDFOp9PAe028C/gick5k39BnrWmDPzLw6IjYBToiIbwDvzsy3AETEvwBvBf5hiFwlSZIkSZLUgIErlTLz+wu18cxM4Orq5SbVIzPzqtpiWwBz36D45wvgxNULldpYffQlXSbu0GPhbsvCoikLaK48usYFOLGPpObQZOym9Mx5kLIew37n8dJ+A+17E/Ieerz0EXfQ2D3Ko8n9w/LoI/aEl0eTLI/RaGt5+Nk1Om08Ft0/5hF7wP97YvaPRXReHtSCd9Q9qIjYGDgZuBPwv5l5YjX9HcALgCvp0ToqIlYDqwHusXLLkeQraXAHH9J9+uqXjTYPSZIkSdLCiRxw9JmIWDHsxjLzN7PE3RY4BtgvM8+sTX8TcPPM3H+22KtWrcq1a9cOm9pE6TZIEAf06GX+gB5BFtGoQk2VR9e43RcdWJOxm9Ir54HKusc/OPKyXsLHSxsNsu9NynvY5PHSpFGfT5s8fyzE/mF59BF7wsujSZbHaLS1PPzsGp02HovuH8PHHnQUtYnZPxb56G8RcXJmruo2b5iWSuvo53a0DeVs28vMKyJiDbA3cGZt1meArwGzVipJkiRJkiRpdIapVPoksBJ4KOXWtNOA3wO3BnYFtgG+T6l8mlVELAeuryqUNgMeAfxXRNw5M39RLfZE4Jwh8pQkSZIkSVJDhqlU+k/gx8D7gAPrnWpHxNbAgZS+kF6emefNEWtH4PCqX6WNgCMz89iI+GJE7EIZUe4CHPlNkiRJkiRpogxTqfRO4IzMfG3njKqC6dURcZ9quafOFigzTwd26zL9aUPkJUmSJEmSpBHZaIh1HgqcMMcyJwAPGyK2JEmSJEmSWmCYSqWbUfpPms2O1XKSJEmSJElahIapVDoVeHZEbHDbGkB169uzgFPmk5gkSZIkSZIm1zB9Kh0IHAf8JCKOAH4AXALcinLL23MolVUHLlSSkiRJkiRJmiwDVypl5rcj4tnAR4F9gRfWZgfwR2B1Zn5nQTKUJEmSJEnSxBmmpRKZeVREfAN4ErA7sA1wJeWWty9n5p8XLkVJkiRJkiRNmqEqlQCqiqPPVA9p0YgDo+v03D9HnImk+Youh3N6KEuSJEkLYpiOumeIiO0iYueFSEaSJEmSJEntMFSlUkRsGRHviYjfA5cBv67Nu39EfD0idu8jzs0j4qSI+FlEnBURB1bTbxERx0fEL6q/2w2TpyRJkiRJkpoxcKVSRGwD/Bh4NXAxcDalg+4pZwAPAfbpI9y1wJ6ZeW9gV2DviHgA8EbgO5l5Z+A71WtJkiRJkiRNiGFaKv0bcA9g38zcHfhCfWZmXgN8H9hrrkBZXF293KR6JKUD8MOr6YcDTx4iT0mSJEmSJDVkmEqlpwLfzMxPzrLMBcBt+wkWERtHxGnApcDxmXkicKvM/B1A9XeHIfKUJEmSJElSQ4apVNoJOH2OZa4GtuknWGbemJm7VnHvFxH37DeRiFgdEWsjYu369ev7XU2SJEnSACI2fEjSgut2svGEM9GGqVT6E3O3HLo9pQPvvmXmFcAaYG/gkojYEaD6e2mPdQ7OzFWZuWr58uWDbE6SJEmSJEnzMEyl0k+Bx0fEVt1mVpVAjwVOmCtQRCyPiG2r55sBjwDOAb4CvLBa7IXAl4fIU5IkSZIkSQ0ZplLpIOCWwNcj4m71GdXrLwA3B/6nj1g7At+LiNMplVXHZ+axwDuBR0bEL4BHVq8lSZIkSZI0IZYNukJmfjMiDgAOAM4ErgeIiMuA7YAA3pCZ/9dHrNOB3bpM/wN9jB4nSZIkSZKk8RimpRKZ+TZKpc9XgD8CNwIJfB14RGa+e8EylCRJkiRJmlRLuHPxgVsqRcRDgasy83vA9xY+JUmSJEmSJE26YVoqfQ9YvdCJSJIkSZIkqT2GqVS6DPjLQiciSZIkSZKk9himUmkN8KAFzkOSJEmSJEktMkyl0puBXSLi7RGxyUInJEmSJEmSpMk3cEfdwJuAM4H/B7wkIn4G/J4y+ltdZuZL5pmfJEmSJEmSJtAwlUr71p7funp0k4CVSpIkSZIkSYvQMJVKt1+ojUfEzsAnKRVTNwEHZ+ZBEfF5YJdqsW2BKzJz14XariRJkiRJkuanr0qliHgBcFpmnp6ZFyzg9m8AXpuZp0TEVsDJEXF8Zj6rtu33AFcu4DYlSZIkSZI0T/121H0Y8OT6hIh4YUR8dz4bz8zfZeYp1fM/AWcDt61tI4BnAp+dz3YkSZIkSZK0sIYZ/W3KSuBhC5QHEbES2A04sTb5IcAlmfmLhdqOJEmSJEmS5m+YPpUWXERsCXwReFVmXlWbtQ+ztFKKiNXAaoAVK1Y0muNiENF9enaO26fuuhWghTcvceCGZZr7W6ZqVrf9Dtz3JEmSpEHNp6XSgoiITSgVSkdk5tG16cuApwKf77VuZh6cmasyc9Xy5cubT1aSJEmSJEnAmCuVqj6TPgacnZnv7Zj9COCczLxo9JlJkiRJkiRpNoNUKjVxX8CDgecDe0bEadXjsdW8Z2MH3ZIkSZIkSRNpkD6VDoiIAzonRsSNPZbPzJw1fmaeAHTt3CIz9x0gN0mSJEmSJI3QIJVKPbp5XrDlJUmSJEmS1BJ9VSpl5tg79JYkqVETMkRmrzQ4wNESJU0WR9OUJFlZJEmSJEmSpIFZqSRJkiRJkqSBWakkSZIkSZKkgVmpJEmSJEmSpIFZqSRJkiRJkqSB9TX6m6SF0W2UFEdIkTS0CRmxTpIkSUuTLZUkSZIkSZI0sLFWKkXEzhHxvYg4OyLOiohXdsx/XURkRGw/rhwlSZIkSZK0oXHf/nYD8NrMPCUitgJOjojjM/PnEbEz8EjgN+NNUZIkSZIkSZ3G2lIpM3+XmadUz/8EnA3ctpr9PuD1gB1DSJIkSZIkTZiJ6VMpIlYCuwEnRsQTgd9m5s/mWGd1RKyNiLXr168fRZqSJEmSJEliQiqVImJL4IvAqyi3xP0b8Na51svMgzNzVWauWr58ebNJSpIkSZIk6W/GXqkUEZtQKpSOyMyjgTsCtwd+FhHrgJ2AUyLi1uPLUpIkSZIkSXVj7ag7IgL4GHB2Zr4XIDPPAHaoLbMOWJWZl40lSUmSJEmSJG1g3C2VHgw8H9gzIk6rHo8dc06SJEmSJEmaw1hbKmXmCUDMsczK0WQjSZIkSZKkfo27pZIkSZIkSZJayEolSZIkSZIkDcxKJUmSJEmSJA3MSiVJkiRJkiQNzEolSZIkSZIkDcxKJUmSJEmSJA1s2bgT0PjFgdF1eu6fI85kiYru5U9a/pIkqYW8tpGkJcOWSpIkSZIkSRrYWCuVImLniPheRJwdEWdFxCur6c+oXt8UEavGmaMkSZIkSZI2NO7b324AXpuZp0TEVsDJEXE8cCbwVOCjY81OkiRJkiRJXY21Uikzfwf8rnr+p4g4G7htZh4PEL3ux5YkSZIkSdJYTUyfShGxEtgNOHHMqUiSJEmSJGkOE1GpFBFbAl8EXpWZVw2w3uqIWBsRa9evX99cgpJGJ6L7Q5IkSZI0UcZeqRQRm1AqlI7IzKMHWTczD87MVZm5avny5c0kKEmSJEmSpA2Me/S3AD4GnJ2Z7x1nLpIkSZIkSerfuEd/ezDwfOCMiDitmvb/gJsBHwCWA1+LiNMy89HjSVGSJEmSJEmdxj362wlAr85SjhllLpIkSZIkSerf2PtUkiRJkiRJUvuM+/Y3TbJuI25ljj4PSZIkaUC9Bo/1claSFo4tlSRJkiRJkjQwK5UkSZIkSZI0MCuVJEmSJEmSNDArlSRJkiRJkjQwO+qWJEmStGTEgRv24J3723u3JA3DlkqSJEmSJEkamJVKkiRJkiRJGthYK5Ui4uMRcWlEnFmbtmtE/CQiTouItRFxv3HmKEmSJEmSpA2Nu6XSYcDeHdPeBRyYmbsCb61eS5IkSZIkaYKMtVIpM38AXN45Gdi6er4NcPFIk5IkSZIkSdKcJnH0t1cB34yI/6ZUej2o14IRsRpYDbBixYqRJCdJkiRJkqTx3/7WzSuAV2fmzsCrgY/1WjAzD87MVZm5avny5SNLUJIkSZIkaambxEqlFwJHV8+/ANhRtyRJkiRJ0oSZxEqli4GHVc/3BH4xxlwkSZIkSZLUxVj7VIqIzwJ7ANtHxEXA/sDLgIMiYhnwV6o+kyRJkiRJkjQ5xlqplJn79Jh1n5EmIkmSJEmSpIFM4uhvkmYRseG0zNHnIUmSJGm0/C6gSTOJfSpJkiRJkiRpwlmpJEmSJEmSpIFZqSRJkiRJkqSBWakkSZIkSZKkgS2ejrovuABWrx53Fgvio90mfmXAIF3KomvcQWOPoYzbWB4jj70Ab8uiKo8F2D80Om3cPzxe+og7aGzLY864Y4k94eXRJMtjpjaWx0CxfztYmbbxfWxjzrAE9r2FiO13geHj9ojd1uNlHBZPpZK0hB188iFdp6++z8tGnMnicXD3ImV1C4vU/UOSJElSEyIXyfiDq1atyrVr1447jQXRbZhIDug2EfKAHkG6vK9d4w4aewz7SxvLY5DYg+TcM3avnPfv//1aEuUxQOxeObfxlBkHzn//aNJi2j88XuYR2/KYM+6gsZdCeTTJ8pipjeUx0PEy4Gdik8diU9z3+og7aOwJOVcvxNuymMpj0vePNoqIkzNzVbd5Y+1TKSI+HhGXRsSZtWkHRMRvI+K06vHYceYoSZIkSZKkDY27o+7DgL27TH9fZu5aPb4+4pwkSZIkSZI0h7FWKmXmD4DLx5mDJEmSJEmSBjfulkq9/HNEnF7dHrfduJORJEmSJEnSTJM4+tuHgbcDWf19D/DibgtGxGqqARRXrFgxqvwkSZVJ7wRckpaSxTTIhPrkmy5pzCaupVJmXpKZN2bmTcAhwP1mWfbgzFyVmauWL18+uiQlSZIkSZKWuImrVIqIHWsvnwKc2WtZSZIkSZIkjcdYb3+LiM8CewDbR8RFwP7AHhGxK+X2t3XAy8eVnyRJkiRJkroba6VSZu7TZfLHRp6IJEmSJEmSBjKJHXVLWih23rjkdH3LDxhkYbruH70W7RlbkkbAj7l5sPBmmqDy6JbKonpbJqisF4ueA6cc0GMFy1oLaOL6VJIkSZIkSdLks1JJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkDs1JJkiRJkiRJA3P0Ny2IgQZxcMQHtdhAo2ss5X160Q9dI2mSdTtX5/6eg6SmeHkvLV22VJIkSZIkSdLAxlqpFBEfj4hLI+LM2rR3R8Q5EXF6RBwTEduOMUVJkiRJkiR1Me6WSocBe3dMOx64Z2beCzgPeNOok5IkSZIkSdLsxlqplJk/AC7vmPatzLyhevkTYKeRJyZJkiRJkqRZjbul0lxeDHxj3ElIkiRJkiRppokd/S0i/g24AThilmVWA6sBVqxYMaLMJEmS1DoOT6UW6zn67IjzkKROE9lSKSJeCDweeG5m70/6zDw4M1dl5qrly5ePLkFJkiRJkqQlbuJaKkXE3sAbgIdl5jXjzkeSJEmSJEkbGmtLpYj4LPBjYJeIuCgiXgJ8ENgKOD4iTouIj4wzR0mSJEmSJG1orC2VMnOfLpM/NvJEJEmSJEmSNJCJ7FNJkiRJkiRJk23i+lSSpMVuoAGIHK1IkjRP3UYO81NEkrQQbKkkSZIkSZKkgVmpJEmSJEmSpIFZqSRJkiRJkqSBWakkSZIkSZKkgVmpJEmSJEmSpIFZqSRJkiRJkqSBWakkSZIkSZKkgU1spVJEvDIizoyIsyLiVePOR5IkSZIkSdMmslIpIu4JvAy4H3Bv4PERcefxZiVJkiRJkqQpE1mpBNwN+ElmXpOZNwDfB54y5pwkSZIkSZJUWTbuBHo4E3hHRNwS+AvwWGBt50IRsRpYDbBixYqRJihJkiRJ6i0OjA2m5RjykNSciWyplJlnA/8FHA8cB/wMuKHLcgdn5qrMXLV8+fIRZylJkiRJkrR0TWSlEkBmfiwzd8/MhwKXA78Yd06SJEmSJEkqJvX2NyJih8y8NCJWAE8FHjjunCRJkiRJklRMbKUS8MWqT6XrgX/KzD+OOyFJkiRJkiQVE1uplJkPGXcOkiRJkiRJ6m5i+1SSJEmSJEnS5LJSSZIkSZIkSQOzUkmSJEmSJEkDs1JJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkDWzbuBLS4xYGxwbQcQx6SJEmSJGlh2VJJkiRJkiRJA5vYSqWI2DYijoqIcyLi7Ih44LhzkiRJkiRJUjHJt78dBByXmU+PiE2BzcedkCRJkiRJkoqJrFSKiK2BhwL7AmTmdcB148xJkiRJkiRJ0yb19rc7AOuBT0TEqRFxaERsMe6kJEmSJEmSVExkSyVKXrsD+2XmiRFxEPBG4C31hSJiNbAaYMWKFSNPUpIWkqMlSpIkSWqTSW2pdBFwUWaeWL0+ilLJNENmHpyZqzJz1fLly0eaoCRJkiRJ0lI2kZVKmfl74MKI2KWatBfw8zGmJEmSJEmSpJpJvf0NYD/giGrkt/OBF405H0mSJEmSJFUmtlIpM08DVo07D0mSJEmSJG1oIm9/kyRJkiRJ0mSzUkmSJEmSJEkDs1JJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkDs1JJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkDs1JJkiRJkiRJA5vISqWIuHlEnBQRP4uIsyLiwHHnJEmSJEmSpGnLxp1AD9cCe2bm1RGxCXBCRHwjM38y7sQkSZIkSZI0oZVKmZnA1dXLTapHji8jSZIkSZIk1U3k7W8AEbFxRJwGXAocn5kndllmdUSsjYi169evH3mOkiRJkiRJS9XEVipl5o2ZuSuwE3C/iLhnl2UOzsxVmblq+fLlI89RkiRJkiRpqZrYSqUpmXkFsAbYe7yZSJIkSZIkacpEVipFxPKI2LZ6vhnwCOCcsSYlSZIkSZKkv5nIjrqBHYHDI2JjSsXXkZl57JhzkiRJkiRJUmUiK5Uy83Rgt3HnIUmSJEmSpO4m8vY3SZIkSZIkTTYrlSRJkiRJkjQwK5UkSZIkSZI0MCuVJEmSJEmSNDArlSRJkiRJkjQwK5UkSZIkSZI0MCuVJEmSJEmSNDArlSRJkiRJkjSwia1Uioi9I+LciPhlRLxx3PlIkiRJkiRp2kRWKkXExsD/Ao8B7g7sExF3H29WkiRJkiRJmjKRlUrA/YBfZub5mXkd8DngSWPOSZIkSZIkSZVJrVS6LXBh7fVF1TRJkiRJkiRNgMjMceewgYh4BvDozHxp9fr5wP0yc7+O5VYDq6uXuwDnjjTR8dkeuMzYjcdta+w25txk7Dbm3GTsNubcZOw25txk7Dbm3GTsNubcZOw25txk7Dbm3GTsNubcZOw25txk7Dbm3GTsNubcZOw25tx07Elzu8xc3m3GslFn0qeLgJ1rr3cCLu5cKDMPBg4eVVKTIiLWZuYqYzcbt62x25hzk7HbmHOTsduYc5Ox25hzk7HbmHOTsduYc5Ox25hzk7HbmHOTsduYc5Ox25hzk7HbmHOTsduYc5Ox25hz07HbZFJvf/spcOeIuH1EbAo8G/jKmHOSJEmSJElSZSJbKmXmDRHxz8A3gY2Bj2fmWWNOS5IkSZIkSZWJrFQCyMyvA18fdx4Tqslb/toYu405Nxm7jTk3GbuNOTcZu405Nxm7jTk3GbuNOTcZu405Nxm7jTk3GbuNOTcZu405Nxm7jTk3GbuNOTcZu405Nxm7jTk3Hbs1JrKjbkmSJEmSJE22Se1TSZIkSZIkSRPMSiVJkiRJkiQNzEolSZIkSZIkDWxiO+pWdxFxCyAz848LFG8bYG/gtkACFwPfzMwrJjl2bRsLWh5Nx21r7Cbiun9sENPyWCSx25hzk7HbmHOTsduYc5OxPZ82H9fy2CBm68qjjTlXMRvNu43nvCZjtzHntsZuMuc2sqVSC0TEioj4XESsB04EfhoRl1bTVs4j7guAU4A9gM2BLYCHAydX8+aTc5OxmyqPRuK2NXbDObt/zIxtebQ8dhtzbjJ2G3NuMnYbc24ytufT0cStYlseM2O3sTxal3OTebfxnNdk7Dbm3NbYTebcepnpY8IfwI+BZwEb16ZtDDwb+Mk84p4LbNtl+nbAefPMucnYTZVHI3HbGrvhnN0/LI9FFbuNOVselsciLQ/Pp5bHYiuP1uXcZN5tPOc1vH+0Lue2xm4y57Y/xp6Ajz7eJPjFMPP6iHsesE2X6dvMJ+4IYjdVHo3EbWvshnN2/7A8FlXsNuZseVgei7Q8PJ9aHoutPFqXc5N5t/Gc1/D+0bqc2xq7yZzb/rBPpXY4OSI+BBwOXFhN2xl4IXDqPOK+AzglIr5Vi7sCeCTw9nnEbTp2U+XRVNy2xm4yZ/ePmSyP9sduY85Nxm5jzk3GbmPOTcb2fDqauGB5dGpjebQxZ2gu7zae85qM3cac2xq7yZxbLaqaNU2wiNgUeAnwJEpHdwFcBHwF+FhmXjuP2NsBj+6I+81cgE7HmordozwuBL7KPMqj4XJuXeymyrkWf5T7R1PlsSDvYRXf8mhx7Dbm3GTsNubcZOwx5Lwg5+o2ft5W8T2fzoxvecyM36rr07bm3FTeYzjn+fmyOMp64j+72sxKJQG0std9LQ7uHzNZHpK0MDyfzmR5zNTG8mhjztDevCX1x9HfWiAinlKdjImI5RFxeEScERGfj4id5hF3qgf7S2mu1/0mYr83Ih48nxg94t4iIt4aES+J4v9FxLER8e7ql5aJjF3Ff3hEfDAivhwRX4yId0bEneYZs5FyrmI3uX80crxU8Ra8nKu4jZVHw3k3Fbex97CpvNt4jDeZd8PHYetiN5xzk+fqNn7etu7zpa3lUcVv1fm04f2jqeOldTlXsRvJu+Gcm9z3mvwcWPDjsIrb1rJuMu9GyrrtrFRqh3dk5uXV8w8CpwGPAb4BfGIecT8PHAPsmJl3zsw7ATsCXwI+N4+4Tcd+PnBQRFwQEe+KiN3mGW/KpynDna4CvkfJ97+AvwCHTWrsiHgn8ALgJ8D1wPnAr4AvRMQz5hG6qXKGZvePRo6XBssZGiyPpvJuuDyaOuc1mXcbj3FoLu/G3sOWxm4y5ybP1W38vG3d5wstLY82nk9p5/VpG3OG5vJuMucm9702Xp+2tawbybvhsm63cfcU7mPuB3Bu7fnJHfNOm0fc1vW6X61/avX3zsBbgLOAc4D9gbvMI+5p1d8AfrtQ5TyC2GfUni8DflQ93w44c9LKeQT7R1PHSyPlPILyaGr/aLI8GnkPGy6P06q/rTnGm8y74fewdbEbzvnU6m8T5+pGYjd8vLTx86Wt5dHG82kbr09bl3OTeTecc5P7XhuvT9ta1o3k3WRZt/1hS6V2WBMRb4uIzarnT4bS/A64ch5xT46ID0XE/SPiNtXj/lF6tT91njk3GTsBMvMXmfn2zLwH8Ezg5sDX5xF3o6q55c7AllE1zY2IWwKbzi/lRmPfNNWcFrgNsDFAlvvWYx5xmypnaHb/aOp4aaqcodnyaCrvJsujqfcQmsu7jcc4NJd3k+9hG2M3mXOT5+o2ft628fOlreXRxvNpG69P25hzk3k3mXOT+14br0/bWtZN5d1kWbfbuGu1fMz9ADYBDgB+Uz1uAv4EfAZYMY+4mwKvAI4DzgDOpDTB/EfgZvPMucnYpzZUzvsAl1SPpwHfBo4HfgusnuDYzwIuAL5V7R+Pq6YvBz4zaeU8gv2jqeOlkXIeQXk0tX80WR6NvIcNl0frjvEm8274PWxd7IZzPnU+648jdsPHSxs/X9paHm08n7bx+rR1OTeZd8M5N7nvtfH6tK1l3UjeTZZ12x+O/tYyEbENsCwz/9Bl3j0y86wxpDVSEbFlZl7dx3IDl0dEbEwZFfGGiFgG7Eppkvm7+cQdQexbAHcAfpmZV/RYZqDYTZbzqCz08dJEOY9CU3mPojyaOOc1WB6tOsZHkXe1bmOfW22M3cB5qcnPxFZ+3o5CA+9jK8ujjefTprTxusmcu67X+L7XluvTtpZ1w59drfwu0DQrlRaRiDglM3dfoFhvzcy3LUSsUcbu2M6Clcco4rY19kLHdf/YIJ7lsYhitzHnJmO3MecmY7cx5yZjez5tNq7lsUG81pVHG3Ou4jWedxvPeU3GbmPObY3dZM6Tyj6VFpeFvJfzpQsYa5Sx65q6t7XJe2bbGHuh47p/zGR5LK7Ybcy5ydhtzLnJ2G3MucnYnk+bjWt5zNTG8mhjzjCavNt4zmsydhtzbmvsJde/0rJxJ6AFNVCzs4i4qtcsYLP5JNJk7AE01QyvyeZ9bYw9cFz3j5ksjyUVu405Nxm7jTk3GbuNOTcZ2/PpPONaHjO1sTzamDNMRN5tPOc1GbuNObc19pK7FcxKpaXtCuC+mXlJ54yIuHCCY6v9rsD9o+4KLA9JWghX4Pm07gosj7oraF95XEH7cob25i1pQN7+trhcN+DynwRu12PeZ+aZS5Ox+zVoeYw7bltjDxPX/WMmy2PpxG5jzk3GbmPOTcZuY85NxvZ8Ov+4lsdMbSyPNuYM48+7jee8JmO3Mee2xm4y54lkR90tEREB3A+4LaVJ3cXASTmCN7DJHuznMVpAI+XRZDm3MfY497tq+0tm/+hz+0umPNoYu405Nxm7jTk3GbuNOTcZ2/PpaOIOsH3LY+b2J6o8+tx263Kutj/MCFytO+c1GbuNObc19riPl0llpVILRMSjgA8BvwB+W03eCbgT8I+Z+a2Gtz9Rve43VR5NlnMbY497v6tyWBL7xwA5LInyaGPsNubcZOw25txk7Dbm3GRsz6ejiTtgDpbHzBwmpjwG2H7rcq5yGCjvNp7zmozdxpzbGnsSjpeJlZk+JvwBnA2s7DL99sDZI9j+qZMUu6nyaLKc2xh73PvdUto/LI/2x25jzpaH5bEYy2OAHE6dlLwtD8tjqeY8TN5tPOc1GbuNObc19iQcL5P6sE+ldlgGXNRl+m+BTUaw/Sabsw0Tu6nyaLKc2xh73PsdLJ39o19LpTzaGLuNOTcZu405Nxm7jTk3Gdvz6WjiDsLymGmSyqNfbcwZBs+7jee8JmO3Mee2xp6E42UiOfpbO3wc+GlEfA6YGi1hBfAs4GNjy2p8upXHzsCzmV95NFnOTeXcZOwmc26S5TFTG8ujjbHbmHOTsduYc5Ox25hzk7Hbel3TVN5+vowmbtPamLc5jzf2pJ8/jD2auK1nn0otERF3A55E6RQsKLWkX8nMn49g2z/JzAdMUuyIuDvwRBa4PJos54ZjN1UejcQdYPuTtn9YHiOI29bYbcy5it3IuamNOVex27h/tLE8xnZdU21/2PNpU8dLW8ujdcdLn9ufqP2jz21P1Hs4wPYHztvP29HErWK3tawX5blpUlmp1FIRccvM/MMCxGldr/ujFBE7ZOal485jMVoM+8dCsjwkLWULdV1TxRrZ+bQN1wl+vszUxvJoY87Q3rxHpQ3nD6kf9qnUAhHxzojYvnp+n4g4H/hJRFwQEQ+bR9xHUXqvPwB4LPA44EDgF9W8+eTcZOxtqjI5JyL+UD3OrqZtO4+4t+h8ACdFxHbV8/nkfEpEvDki7jCfOD1ibx0R/xkRn4qIfTrmfWgecbeMiLdFxFkRcWVErI+In0TEvguQc5P7x6qI+F5EfDoido6I4yPiioj4aUTsNmlxq9htPF4a2e+azLmK3ch+3fDx0mTsvWvPt4mIQyPi9Ij4TETcah5xm9w/mjyfNnW8NPkeNlkeTZ1PG7muqeI1eT5t5DqhqeOwitfGz5cmPwOaLI+mzqetew+bzLup81IVu8nyaOP5o8nyaPI6oanPrsbKo/XG3VO4j7kfwBm1598D7ls9vwuwdh5xW9frfhXjm8AbgFvXpt0aeCNw/Dzi3gT8uuNxffX3/Hnm/Gvgv4HfACcBrwZus0D7xxeBdwJPBr5Svb5ZNe+UecT9MrAvZajM1wBvAe4MHA78xwTvHycBjwH2odzv/PRq+l7Ajyct7gjKo6njpZH9rsmcqziN7NcNHy9Nxj6l9vxQ4N+B21XnqC9N6P7R5Pm0qeOlyfewyfJo6nzayHVNFaPJ82kj1wlNHYcjKI+mjpcmPwOaLI+mzqetew+bzLup89IIyqON548my6PJ64SmPrsaK4+2P8aegI8+3iQ4B1hWPf9Jx7wz5hH3F1NxO6ZvCvxynjk3GfvcYeb1Efd1wHHA39Wm/XqB3sP6Cf8hwIeA31MuplfPM/ZpHa//DfgRcMv5nJSBn3W8/mn1dyPgnAneP06tPf9Nr3mTEncE5dHU8dLIftdkztX6jezXDR8vTcaun5s639PT5hG3yf2jyfNpU8fLqN7DhS6PU2vPF/J82sh1TbV+k+fTRq4TmjoOR1AeTR0vTX4GNFkeTZ1PW/ceNpl3U+elEZRHG88fTZZHZ64LeZ3QyD7SZHm0/eHob+3wv8DXI+KdwHER8X7gaEpt62nziNvGXvcBLoiI1wOHZ+YlAFXzzn1r2xpYZv53le/7IuJCYH+GG551ru38EPhhROwHPJIy6sPB8wh5s4jYKDNvquK/IyIuAn4AbDmPuH+OiL/PzBMi4gnA5VX8myIi5hEXmt0//lo1q94GyIh4cmZ+KcotFTdOYFxodiSkRo4XmtvvmswZmtuvmzxemoy9Q0S8htLZ5NYREVldHTG/W+Sb3D/+poHzaVP7XpPv4d80UB5Nnfeauq6BBj9fGrxOaOo4hHZ+vjT5GdBkeTT1PrbxPYTm8m7yeqyx8mjp+aPJ/aPJ64Sm9pEmy6PV7Ki7JSJiD+AVlKbhyyg77peAT2Tm9fOI27rRziJiO0ozwycBO1STL6E0nfyvzLx8PvGrbTyBUmO+MjNvvQDxPpeZz55vnB6x3wV8KzO/3TF9b+ADmXnnIePei9KMdhfgDODFmXleRCwH9snM/5ln3k3tH/cG3kVpZvxqynHzQuC3lF/tfzRJcWvxW3W8NLXfNZlzFbuR/brJ46Xh2Pt3TPpQZq6PiFsD78rMFwwZt8n9o8nzaVPHS5PvYZPl0dh5r6nrmip246PzLOR1QlPHYS1+2z5fGr3Oa7A8Gnsf2/Ye1uIveN4Nn5ca/45RbacV54+Gr8eavE5o6rvASPaPNrJSSeohIjYD7piZZ447Fy09sYAjIUmSFl5brxPCEadmaOPnbVvfwzaWdVPaev6QunH0t5aIiLtGxF4RsWXH9L17rdNHzCZHjGksdhV/qjy26Jg+dHl0xN0yM/8ydaKfb9zO2B3TJzZ2g3EbG6miitm28mhsJKQqZuPHy0LGrWLcLyLuWz2/e0S8JiIeO9+4VbxW7R9tjd3GnDtit+l4aV3sBuM2NqJQFaOR64QGy6OxkW2r+E0dL418Bozw83Yhr9ebfg9bV9aL4fqjDeePKkbrrseajN3UOa/1unW05GOyHsC/AOdSmoWvA55Umzefjph/TXMjxjQZu6nyaCRuW2M3nHOTI1W0sTyaHAmpjeWxP/ATYC3wn8B3gbdS7rP/tyVYHq2L3cacLY9FUx5NjijUxvJocmTbpsqjyc+ANn7eNvketq6sGz5evP5oeXm0tazb/hh7Aj76eJNK/wtbVs9XVgf2K6vXp84jbpMjxjQZu6nyaCRuW2M3nHOTI1W0sTyaHAmpjeVxBrAxsDlwFbB1NX0z4PQlWh6tit3GnC2PRVMep3W8XsgRhdpYHk2ObNtkeTT1GdDGz9um38NWlfUIznlef7S4PNpa1m1/OPpbO2ycmVcDZOa6KJ1bHhURt6N0ejdvufAjxjQZu6nyaLKc2xi7yZybHKmijeXR5EhIbSyPGzLzRuCaiPhVZl5VbecvEXHTPGO3sTzaGLuNOTcZu405Nxm7yZybHFGodeWRzY5s21TeTX4GtO7ztuH3sI1l7fXHaOJCO8ujydiNfydvK/tUaoffR8SuUy+qnfnxwPbA380j7nmdEzLzxsw8LjNfNI+4TcduqjyaitvW2E3mfAiwFeUC//AqJlFGqjhtnrFbVx6Z+QHgP4CXU0aU2IsyusRvgRfPJzYtLA/guojYvHp+n6mJEbEN5TaA+WhjebQxdhtzbjJ2G3NuMnaTOX8V2LM+ITMPB14LXDfP2G0sDzLzosx8BqW1+PGUVgcLoam8G/sMaOnnbZPvYRvL2uuP0cSFdpZHk7EbPVe3Wk5Acykfsz+AnYBb95j34Nrz7cada5vLo8lybmPstu53lkf7y4Oq/5Mu07dnZvP/JXG8tDF2G3O2PBZHeTT5WAzlQblt5Z4TXh6NfQa0cf9o+D1sXVk3fM7z+qPl5dHWsm77I6p/XItARJySmbsPuM5dgdsCJ2bVnK+avndmHjfPfBqL3ef2By6PccZta+xh47p/bLCe5bEEYrcx5yZjtzHnJmO3MecmY3s+XZi4lscG67WuPNqYc7Xe2PJu4zmvydhtzLmtsZvMeVJ5+9viMtC9nBHxL8CXgf2AMyPiSbXZ/zGvRBqMPUgaLYvb1tgDx3X/6FjB8lhKsduYc5Ox25hzk7HbmHOTsT2fzjOu5dGxQgvLo405w0Tk3cZzXpOx25hzW2Mvuf6V7Kh7cRm02dnLgPtk5tURsZLS0djKzDyI+R8MTcbuV1PN8Jps3tfG2MPEdf+YyfJYOrHbmHOTsduYc5Ox25hzk7E9n84/ruUxUxvLo405w/jzbuM5r8nYbcy5rbGX3K1gViotbW3sdV+Lg/vHTJaHJC0Mz6czWR4ztbE82pgztDdvSQPy9rfFZdATdBt73R9EG5s0tjH2MHHdP2ayPJZO7Dbm3GTsNubcZOw25txkbM+n849reczUxvJoY84w/rzbeM5rMnYbc25r7CVXaWpH3S0QETcH/gG4E3AG8LHMvKHLcrfIzMsHiLsTcENm/r7LvAdn5o+q59tl5h8HzLnJ2E2VRyNx2xq74ZzdP2auY3m0PHYbc24ydhtzbjJ2G3NuMrbn09HErdaxPGau08byaF3OTebdxnNek7HbmHNbYzeZc9tZqdQCEfF54Hrgh8BjgAsy85Uj3P5E9brfVHk0Wc5tjD3u/a7KYUnsHwPksCTKo42x25hzk7HbmHOTsduYc5OxPZ+OJu6AOVgeM3OYmPIYYPuty7nKYaC823jOazJ2G3Nua+xJOF4mVmb6mPAHcEbt+TLglBFv/9RJit1UeTRZzm2MPe79bintH5ZH+2O3MWfLw/JYjOUxQA6nTkreloflsVRzHibvNp7zmozdxpzbGnsSjpdJfdinUjtcP/UkuzSxG4Emm7MNE7up8miynNsYe9z7HSyd/aNfS6U82hi7jTk3GbuNOTcZu405Nxnb8+lo4g7C8phpksqjX23MGQbPu43nvCZjtzHntsaehONlInn7WwtExI3An6deApsB11TPMzO3bnj7k3b7WyPl0WQ5tzH2uPe7KoclsX8MkMOSKI82xm5jzk3GbmPOTcZuY85NxvZ8Opq4A+ZgeczMYWLKY4Dtty7nKodBb39r3TmvydhtzLmtsSfheJlUy8adgOaWmRuPOYWJ6nW/qfJospzbGHsC9jtYIvvHAJZEebQxdhtzbjJ2G3NuMnYbc24ytufT0cQdkOUx08SUxwDamDMMmHcbz3lNxm5jzm2NPSHHy0SypdIS1sZe97U4uH/MZHlI0sLwfDqT5TFTG8ujjTlDe/OWNDgrlZawNva6r8XB/WMmy0OSFobn05ksj5naWB5tzBnam7ekwVmptIRFxBmZ+XfV82XASYPeiz2O2Go/94+ZLA9JWhieT2eyPGZqY3m0MWdob96SBufob0tbG3vd1+Lg/jGT5SFJC8Pz6UyWx0xtLI825gztzVvSgGyptIS1sdd9LQ7uHzNZHpK0MDyfzmR5zNTG8mhjztDevCUNzkolSZIkSZIkDczb3yRJkiRJkjQwK5UkSZIkSZI0MCuVJEnSRIiINRGxJO7Lj4iMiDXjzmOSLaX9QZKktrJSSZKkRSIinl9VVmREvLTL/JW1+d0en5vHtg+pYlwTEdvO6x8ZsVq5HLaAMddFxLqFijdKEbEqIj4REedHxF8i4qqIOCMi3h0Rt13A7RxWlfvKhYopSZJGa9m4E5AkSfMXETsDHwCuBracY/GfAV/qMv3MIbe9FfBsICkj/DwP+OAwsZaQu1FGQpoYERHAO4HXAzcAxwNfADYFHgS8DvjHiHhhZh41gpReAGw+gu1IkqQhWakkSVLLVZUBnwD+ABxN+fI/m9My84AFTOE5lIqs9wH/BLwMK5VmlZnnjDuHLt5CqVBaBzw+M8+qz4yIpwGfBj4XEY/MzO81mUxm/qbJ+JIkaf68/U2SpPb7F2BP4EXAn8ew/ZcBN1EqlY4F7hUR9++1cEQ8OyJOrm6tujQiPhURt+mx7KYR8c8R8fWIuCAiro2IyyPi2xHxmB7rrKse20TEByPitxHx14j4eUT8S1UJN7XsAcCvq5cv7LgdcN9Bc4iIPap+gG4H3K4j3mG15br2qVTl/J8RcW6V8x8j4psR8Yguy+5RxTkgInaNiK9FxBXVLYjfj4gH9XoPusRaSalUuh54YmeFEkBmfhF4NbAx8OGI2Ki2/r5TZRYRj4uI/4uIP1f5HxURd+7YXgIvrF7+ulZG62rLdO1TKSI2ioh/iIifRsTV1XZ+GhGvqOdU31YVa/uIODgifle9h2dFxIu6LB8R8cLqf1hfvQ8XVu/Ds/orUUmSlgZbKkmS1GIRcTfKLUsHZeYPImLPPla7TUS8HLglpXXTjzPz9CG3vxtwH+D4zLywqjh5KrAaOLHL8q8G3gtcAXyy+vto4P+AK7ts4hbAQdX844H1wI7AE4CvR8TLMvPQLuttCnwb2Bb4XPX6aVWsXSgtqgDWVMu8kg1vCzxtiBzWAQcCr6pev79LvK6i9EX1I+DuwE+rdbcHngl8KyJekZkf7bLqKkoLox8DhwIrqv/1OxGxa2aeO9t2Ky+iXBcemZlnzLLcoZTKp12AhwGdrZWeCjwGOIZStrtWuTw8Ih5Uy+VA4MnAvSlle0U1/Qrm9ilK67gLq3wSeArwIeDvged2WWdbStleBxwF3Bx4OvDxiLgpMw+vLfsO4E2UysYjKfvljsB9gWcAn+8jR0mSlobM9OHDhw8fPny08EGpBFgLnAtsVk07gPIl+6Vdll9Zzev2+B6wYogcPlKtv08tp99T+nbausv2rwUuB1bWpm8EfHEql451bgbs1GW721D6gLp86n+vzVtXxToBuFlt+i2AX1XzHtqlXA7r8T8Om8O6WcotgTUd0z5aTf8oELXpd6ZUbFzbUW571N6/fTtivbya/qE+38fvVMu/rI9lj6iWfXNt2r61XB7fsfwrq+nf6Zh+WDV9ZY/trOmyP+xTrXMKsGVt+haUYyGB53Qp66RUQG1cm353St9RP+9Y/g/ARcDmXXLaftjj1YcPHz58+FiMD29/kySpvd4K7EapUPhLH8tfA7yd0rJou+ox1dpkD0rLli363Xi17D6UCo9jADLzBkqlwxaU1iR1z6W0GPpAZq6bmpiZNwH/SrmFbobMvDYzL+oy/Urg49X/cN8eKb4pM6+trXM55f+H0jKnL/PMoS8RsQmlg/Orq7z/dttXZv4C+B9K2b2gy+o/yszDOqZ9nFJhcr8+U9ix+nthH8tOLdPtlsXvZuaxHdM+SKnM2zMibtdnPr28uPr7xsy8empiZv4ZeEP1coORDyn7/msy88baOj+ntF66W5TO5uuuB27smEZmXjaP3CVJWnSsVJIkqYUi4n7A/wPek5k/7medzLw0M9+amadk5hXV4wfAoyi3qt2J7l/Ie3k2sDXwucz8a236J6q/qzuW3736+/0uuZ1PjwqNiLhHlOHnp4a4z6qvnfdUi3Qb5v4Gyu1qndZUf3frtq1ehsxhEHeljHT2s6ryq9N3q7/d8l7bOSEzrwcuoVR49WOqn6kN+jAacNlu7+2NlFZjMGC5d7E7pfJxTY9t39hjG7/IzKu6TJ/a57atTTuC0nrtrKp/q70jYpthE5YkaTGzTyVJklomIpZR+pU5j9K/zbxk5g0RcShwf+ChlD5u+jFVaXRYR7wzI+Jk4D4RsSozpyo9pr6YX9Ij3u8pHVz/TUQ8gFKhsoxyi9ZXgKsoFQu7Ak+i3J7W6bJ6q5SObdRzmdM8chjEVD6/6zF/avq2XeZd0WOdGyidavfjd5SKrRV9LLtTR051s723MEC597ANcHlmXtc5o9qPLwN26LLeFT3i3VD9rZfTqyktq14MvLF63BARXwdem5m/HDJ3SZIWHSuVJElqny2Bu1TP/1obzKzukIg4hNKB96v6iLm++tvX7W8RcS+mb636cY8coFQ8TVUqTXXEfStgg9HFgFt3mfZmYDPg4Zm5piOHN1EqdLrZPiI27lKxNLWNbp2C9zJsDoOYyqdbGcD07WmD5D2IE4CHA48ADum1UERsTLlVEsqtY51u1WPVYcq9myuBW0TEJlVrrHpuyygdm3drkdS3ap85CDgoInagdP79bEon3feIiHvUb6uUJGkps1JJkqT2uRb4WI95u1Nu/zmB0oF3X7fGAQ+o/p7f5/JTrZTWUFp1dPMcYJ+IeE3V/80plNHBHsb07VwARMQdgJ27xLgTpWXKmi7zHjZLfsuABwE/7Ji+R/X31Nq0qYqnXq16hsnhRkofSP06l9Lvz64RsV1m/rFj/sOrv6cMEHMQh1Fup3xKVWnSrdIPSuud21Dy3eBWN7qUR1UR9ffVy0HKvZtTgb0oLeq+0zHvoVWsBSujzLwUOBo4OiK+A+wJ3BM4eaG2IUlSm9mnkiRJLZOZf8nMl3Z7UG7NAji8mva34c8j4v4RsUFFR0TsSbnlB+DTc20/IjajdLp9I/DcWXL5IqVV1T7VqkdQOkDeLyJW1uJtBLyb7tcl6ygtU+7VkcNLgEfPkep/RsTfbkuLiFtQWh3BdL9PAH+k9A/U69avYXL4A7C8Kqs5VbdzHUEpr7d1bOeOwL9Qyu5T/cQbVNWn1X8AmwBfiYi7dy4TEU+mtOC5EfjHqoP1TntGxOM7pv0zcEfge5l5QW36H6q//dxyN+Xj1d//jIjNa7ltDryzetmrwnVOEXGziNgrOpreVR2p36J6ec2w8SVJWmxsqSRJ0tLxX5Tbd9ZQhkwHuBel9QXAWzKzW+fWnZ5F6dvnq5l58SzLHUoZ0Ww1cEhmrouIN1I6tz41Ij5PuZ3p0VW806t86t5fzT8hIo6sll9FaflyFPD0Htv+HaWfozMj4iuUypKnU24j+1DVQTkAmXl1RJwIPCQijqD0VXUj8JXMPH3IHL5DGRHuuIj4AaV12c8y86uzlNcbgYcA/xwR96WMyrc98ExgK+CfM/PXs6w/XwdQbn98DfCziPgm5TbFTSitvu4P/AXYJzO/2yPGV4FjIuIY4JfAvYHHApcD/9ix7Hcoo/4dEhFHUUa+uyIzP9grwcz8TEQ8iVImZ0XElygVgk8Gbg8cmZlHDPZvz7AZ8G1gXbVPXADcHHgkcDfKPnH2POJLkrSoWKkkSdLS8SngKZTKjsdQKgsuAY4EPpiZnbeK9fKy6u+hsy2Umd+PiPOAVRGxW2aempnvjYjfUSoT9gX+BHwTeD3wmS4xjouIJ1BaGD2LUtlzEuV2sDvQu1LpOkr/QP9B6Q9ne8qtfe8EPtBl+ecD7wP2prSsCkrF2+lD5vDvlIqyJwAPptyWdTil0qWrzLw8Ih4IvIlym+BrKJU4JwHvzsxv9Vp3IVQtj15bVfb9E+V2sr0o/+86SmXg+zPzop5Byq1iBwP/BjyO0rrqaOBNmXlex/a+GRGvpexPr6bcLngB0LNSqbIP5da7FwMvr6adXeX34X7+11n8GXgD5b19EKWy6k+UWzxfwXRLKUmSBERmPyPHSpIktUNErAPIzJXjzWTpiIh9KbcUvigzDxtvNpIkaVTsU0mSJEmSJEkDs1JJkiRJkiRJA7NSSZIkSZIkSQOzTyVJkiRJkiQNzJZKkiRJkiRJGpiVSpIkSZIkSRqYlUqSJEmSJEkamJVKkiRJkiRJGpiVSpIkSZIkSRqYlUqSJEmSJEka2P8HD1UrZqN3AYIAAAAASUVORK5CYII=\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='green', alpha=0.8)\n",
    "ax1.axhline(y=33, color='orange', alpha=0.8)\n",
    "ax1.axhline(y=16, color='red', alpha=0.8)\n",
    "#ax1.set_ylim(bottom=0, top =70)\n",
    "#ax1.y_axis = np.arange(0, 70)\n",
    "\n",
    "fig35.savefig(os.path.join(rootOut, 'tipping_point_All_new_3_RCP26.tiff'), format='tiff', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[38.0,\n",
       " 35.0,\n",
       " 34.0,\n",
       " 33.0,\n",
       " 33.0,\n",
       " 32.0,\n",
       " 32.0,\n",
       " 30.0,\n",
       " 29.0,\n",
       " 28.0,\n",
       " 28.0,\n",
       " 27.0,\n",
       " 27.0,\n",
       " 26.0,\n",
       " 25.0,\n",
       " 25.0,\n",
       " 23.0,\n",
       " 20.0,\n",
       " 20.0,\n",
       " 20.0,\n",
       " 19.0,\n",
       " 17.0,\n",
       " 17.0,\n",
       " 16.0,\n",
       " 15.0,\n",
       " 14.0,\n",
       " 13.0,\n",
       " 13.0,\n",
       " 11.0,\n",
       " 10.0,\n",
       " 10.0,\n",
       " 9.0,\n",
       " 8.0,\n",
       " 7.0,\n",
       " 7.0,\n",
       " 7.0,\n",
       " 6.0,\n",
       " 5.0,\n",
       " 5.0,\n",
       " 5.0,\n",
       " 5.0,\n",
       " 4.0,\n",
       " 4.0,\n",
       " 4.0,\n",
       " 4.0]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_45"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig36, ax1 = plt.subplots(figsize=(20,7.5))\n",
    "\n",
    "width = 0.25\n",
    "\n",
    "ax1.bar(x_45_arr, y_45, width = width, color = 'Blue', label = \"2020\")\n",
    "ax1.bar(x1_45_arr, y1_45, width = width, color = 'Green', label = \"2050\")\n",
    "ax1.bar(x2_45_arr, y2_45, width = width, color = 'Red', label = \"2070\")\n",
    "\n",
    "\n",
    "#X-Axis\n",
    "xticks = np.arange(0, 45, 1)\n",
    "ax1.set_xticks(xticks)\n",
    "#ax1.set_xticks(xticks, all_Policies)\n",
    "\n",
    "xlabels = all_Policies\n",
    "#ax1.set_xticklabels(xlabels)\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10, ha=\"right\", rotation_mode=\"anchor\")\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10)\n",
    "plt.xticks(xticks, xlabels, fontsize=16)\n",
    "plt.setp(ax1.get_xticklabels(), rotation=90, size = 10)\n",
    "\n",
    "\n",
    "\n",
    "#Y-Axis\n",
    "yticks = np.arange(0, 70, 3)\n",
    "#ax1.set_yticks(yticks)\n",
    "#plt.setp(ax1.get_yticklabels(), rotation=0, size = 15, ha=\"right\", rotation_mode=\"anchor\")\n",
    "\n",
    "ax1.set_yticks(yticks)\n",
    "ax1.set_title(title_Figs + ', RCP4.5', size = 30)\n",
    "ax1.set_xlabel('45 Adaptation Options', size = 20)\n",
    "ax1.set_ylabel('Frequency', size = 20)\n",
    "\n",
    "ax1.axhline(y=67, color='green', alpha=0.8)\n",
    "ax1.axhline(y=50, color='green', alpha=0.8)\n",
    "ax1.axhline(y=33, color='orange', alpha=0.8)\n",
    "ax1.axhline(y=16, color='red', alpha=0.8)\n",
    "#ax1.set_ylim(bottom=0, top =70)\n",
    "#ax1.y_axis = np.arange(0, 70)\n",
    "fig36.savefig(os.path.join(rootOut, 'tipping_point_All_new_3_RCP45.tiff'), format='tiff', dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_85_arr = np.array(x_85) - 0.25\n",
    "x1_85_arr = np.array(x1_85)\n",
    "x2_85_arr = np.array(x2_85) + 0.25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[12.0,\n",
       " 10.0,\n",
       " 10.0,\n",
       " 9.0,\n",
       " 8.0,\n",
       " 7.0,\n",
       " 6.0,\n",
       " 6.0,\n",
       " 5.0,\n",
       " 4.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 3.0,\n",
       " 2.0,\n",
       " 2.0,\n",
       " 2.0,\n",
       " 2.0,\n",
       " 2.0,\n",
       " 1.0,\n",
       " 1.0,\n",
       " 1.0]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 9.25, 27.25, 39.25, 43.25, 41.25, 23.25, 22.25, 14.25,  0.25,\n",
       "        7.25,  4.25, 37.25, 16.25, 18.25, 19.25, 20.25, 35.25, 24.25,\n",
       "       33.25, 28.25, 21.25, 25.25, 31.25, 38.25, 44.25, 42.25,  5.25,\n",
       "        3.25])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2_85_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig37, ax1 = plt.subplots(figsize=(20,7.5))\n",
    "\n",
    "width = 0.25\n",
    "\n",
    "ax1.bar(x_85_arr, y_85, width = width, color = 'Blue', label = \"2020\")\n",
    "ax1.bar(x1_85_arr, y1_85, width = width, color = 'Green', label = \"2050\")\n",
    "ax1.bar(x2_85_arr, y2_85, width = width, color = 'Red', label = \"2070\")\n",
    "\n",
    "\n",
    "#X-Axis\n",
    "xticks = np.arange(0, 45, 1)\n",
    "ax1.set_xticks(xticks)\n",
    "#ax1.set_xticks(xticks, all_Policies)\n",
    "\n",
    "xlabels = all_Policies\n",
    "#ax1.set_xticklabels(xlabels)\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10, ha=\"right\", rotation_mode=\"anchor\")\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10)\n",
    "plt.xticks(xticks, xlabels, fontsize=16)\n",
    "plt.setp(ax1.get_xticklabels(), rotation=90, size = 10)\n",
    "\n",
    "\n",
    "\n",
    "#Y-Axis\n",
    "yticks = np.arange(0, 70, 3)\n",
    "#ax1.set_yticks(yticks)\n",
    "#plt.setp(ax1.get_yticklabels(), rotation=0, size = 15, ha=\"right\", rotation_mode=\"anchor\")\n",
    "\n",
    "ax1.set_yticks(yticks)\n",
    "ax1.set_title(title_Figs + ', RCP8.5', size = 30)\n",
    "ax1.set_xlabel('45 Adaptation Options', size = 20)\n",
    "ax1.set_ylabel('Frequency', size = 20)\n",
    "\n",
    "ax1.axhline(y=67, color='green', alpha=0.8)\n",
    "ax1.axhline(y=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
}