tipping_points_case1_Sattel-Hochstuckli.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "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": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns',69)\n",
    "pd.set_option('display.max_rows',119)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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": 5,
   "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",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3011</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</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>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>186.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3012</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>189.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3013</th>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>197.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3014</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>199.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3015</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3016 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      tippingPoint26_1980  tippingPoint26_1_1980  scenario26_1980  \\\n",
       "0                     0.0                    1.0              0.0   \n",
       "1                     1.0                    3.0              0.0   \n",
       "2                     3.0                    3.0              0.0   \n",
       "3                     3.0                    2.0              0.0   \n",
       "4                     2.0                    3.0              0.0   \n",
       "...                   ...                    ...              ...   \n",
       "3011                  0.0                    1.0             44.0   \n",
       "3012                  1.0                    2.0             44.0   \n",
       "3013                  2.0                    0.0             44.0   \n",
       "3014                  0.0                    0.0             44.0   \n",
       "3015                  0.0                    NaN              NaN   \n",
       "\n",
       "      policy26_1980  tippingPoint45_1980  tippingPoint45_1_1980  \\\n",
       "0               2.0                  0.0                    0.0   \n",
       "1               5.0                  0.0                    4.0   \n",
       "2               6.0                  4.0                    1.0   \n",
       "3               7.0                  1.0                    3.0   \n",
       "4               8.0                  3.0                    0.0   \n",
       "...             ...                  ...                    ...   \n",
       "3011          193.0                  NaN                    NaN   \n",
       "3012          194.0                  NaN                    NaN   \n",
       "3013          195.0                  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            3.0                  0.0   \n",
       "1                 0.0            9.0                  0.0   \n",
       "2                 0.0           12.0                  0.0   \n",
       "3                 0.0           14.0                  1.0   \n",
       "4                 0.0           18.0                  0.0   \n",
       "...               ...            ...                  ...   \n",
       "3011              NaN            NaN                  1.0   \n",
       "3012              NaN            NaN                  2.0   \n",
       "3013              NaN            NaN                  2.0   \n",
       "3014              NaN            NaN                  0.0   \n",
       "3015              NaN            NaN                  0.0   \n",
       "\n",
       "      tippingPoint85_1_1980  scenario85_1980  policy85_1980  \n",
       "0                       0.0              0.0            0.0  \n",
       "1                       0.0              0.0            1.0  \n",
       "2                       1.0              0.0            4.0  \n",
       "3                       0.0              0.0           11.0  \n",
       "4                       4.0              0.0           15.0  \n",
       "...                     ...              ...            ...  \n",
       "3011                    2.0             44.0          186.0  \n",
       "3012                    2.0             44.0          189.0  \n",
       "3013                    0.0             44.0          197.0  \n",
       "3014                    0.0             44.0          199.0  \n",
       "3015                    NaN              NaN            NaN  \n",
       "\n",
       "[3016 rows x 12 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final_tipping_point_1980"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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": 7,
   "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": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "PermissionError",
     "evalue": "[Errno 13] Permission denied: 'C:\\\\Saeid\\\\Prj100\\\\SA_2\\\\snowModelUZH\\\\case1_sattel-hochstuckli\\\\setup1\\\\Results_3\\\\df_final_tipping_point_1980_2070.csv'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mPermissionError\u001b[0m                           Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-8-f39a90820a72>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      2\u001b[0m                                              \u001b[0mb1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb2\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb3\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb4\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb5\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb6\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb7\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb8\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb9\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb10\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb11\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb12\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb13\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb14\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb15\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mb16\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m                                              c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16), axis = 1)\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0mdf_final_tipping_point_1980_2070\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrootOut\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'df_final_tipping_point_1980_2070.csv'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36mto_csv\u001b[1;34m(self, path_or_buf, sep, na_rep, float_format, columns, header, index, index_label, mode, encoding, compression, quoting, quotechar, line_terminator, chunksize, date_format, doublequote, escapechar, decimal, errors)\u001b[0m\n\u001b[0;32m   3165\u001b[0m             \u001b[0mdecimal\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdecimal\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3166\u001b[0m         )\n\u001b[1;32m-> 3167\u001b[1;33m         \u001b[0mformatter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msave\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3168\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3169\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mpath_or_buf\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\io\\formats\\csvs.py\u001b[0m in \u001b[0;36msave\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    188\u001b[0m                 \u001b[0mencoding\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mencoding\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    189\u001b[0m                 \u001b[0merrors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0merrors\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 190\u001b[1;33m                 \u001b[0mcompression\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcompression_args\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcompression\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    191\u001b[0m             )\n\u001b[0;32m    192\u001b[0m             \u001b[0mclose\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\io\\common.py\u001b[0m in \u001b[0;36mget_handle\u001b[1;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors)\u001b[0m\n\u001b[0;32m    491\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mencoding\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    492\u001b[0m             \u001b[1;31m# Encoding\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 493\u001b[1;33m             \u001b[0mf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpath_or_buf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mencoding\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0merrors\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnewline\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    494\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0mis_text\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    495\u001b[0m             \u001b[1;31m# No explicit encoding\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mPermissionError\u001b[0m: [Errno 13] Permission denied: 'C:\\\\Saeid\\\\Prj100\\\\SA_2\\\\snowModelUZH\\\\case1_sattel-hochstuckli\\\\setup1\\\\Results_3\\\\df_final_tipping_point_1980_2070.csv'"
     ]
    }
   ],
   "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": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final_tipping_point_1980_2070.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        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>586.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>585.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1360.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>468.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>503.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>616.0</td>\n",
       "      <td>...</td>\n",
       "      <td>18.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>616.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>615.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1118.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1118.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>702.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2068.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>556.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>556.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>996.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>995.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>430.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>399.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>503.0</td>\n",
       "      <td>...</td>\n",
       "      <td>158.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>503.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>503.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1081.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>448.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>557.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>731.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>541.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>541.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>533.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>412.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>372.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>430.0</td>\n",
       "      <td>...</td>\n",
       "      <td>25.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>430.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>430.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>449.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>545.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>518.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>518.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>309.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>358.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>...</td>\n",
       "      <td>76.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>323.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>151.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.0</td>\n",
       "      <td>281.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>281.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>302.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>282.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>...</td>\n",
       "      <td>115.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.0</td>\n",
       "      <td>244.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>244.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>...</td>\n",
       "      <td>109.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>273.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <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>6</th>\n",
       "      <td>5.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>...</td>\n",
       "      <td>106.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>...</td>\n",
       "      <td>130.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>14.0</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>24.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>19.0</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>8</th>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>...</td>\n",
       "      <td>80.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>111.0</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>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>153.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>143.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>136.0</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>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>192.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>74.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>60.0</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>12</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>33.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>100.0</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>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>128.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>136.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>27.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>62.0</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>12.0</td>\n",
       "      <td>142.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>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>25.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>115.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>142.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>61.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>81.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>117.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>188.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>67.0</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>35.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>135.0</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>10.0</td>\n",
       "      <td>80.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>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>10.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>42.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>188.0</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>10.0</td>\n",
       "      <td>174.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>92.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</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>31.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>35.0</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>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>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>0.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>34.0</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>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>63.0</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>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>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>43.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>145.0</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>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>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>41.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>111.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</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>10.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>81.0</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>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>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>3.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>135.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>26.0</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>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>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>7.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>95.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>123.0</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>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>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>11.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>188.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>0.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>74.0</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>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>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>26.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>103.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>63.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>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>12.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>55.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>50.0</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>6.0</td>\n",
       "      <td>12.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>145.0</td>\n",
       "      <td>5.0</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>23.0</td>\n",
       "      <td>25.0</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>12.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>24.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>124.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>123.0</td>\n",
       "      <td>5.0</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>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>26.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>121.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>102.0</td>\n",
       "      <td>5.0</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>9.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>143.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>166.0</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>49.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>155.0</td>\n",
       "      <td>5.0</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>89.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>117.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>151.0</td>\n",
       "      <td>5.0</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>115.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>37.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>194.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>5.0</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>117.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>97.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>107.0</td>\n",
       "      <td>5.0</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>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>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>141.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.0</td>\n",
       "      <td>67.0</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>15.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>170.0</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>14.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>121.0</td>\n",
       "      <td>5.0</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>30.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>70.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>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>16.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>174.0</td>\n",
       "      <td>5.0</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>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>16.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>107.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>89.0</td>\n",
       "      <td>5.0</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>109.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</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>15.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>151.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>48.0</td>\n",
       "      <td>5.0</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>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>15.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>102.0</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>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>42.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>141.0</td>\n",
       "      <td>5.0</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>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>21.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>35.0</td>\n",
       "      <td>5.0</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>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>40.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>156.0</td>\n",
       "      <td>4.0</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>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>17.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>174.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>26.0</td>\n",
       "      <td>4.0</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>151.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>67.0</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>8.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>196.0</td>\n",
       "      <td>4.0</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>141.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>14.0</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>155.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>163.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</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>198.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>43.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>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>100.0</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>135.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>193.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.0</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>8.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>70.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>188.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.0</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>196.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>82.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>134.0</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>194.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>117.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>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>81.0</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>184.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>69.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</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>10.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>54.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>139.0</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>95.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>93.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.0</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>31.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>73.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>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>45.0</td>\n",
       "      <td>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>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>14.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</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>113.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>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>60.0</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>108.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>194.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>195.0</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>195.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>84.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>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>72.0</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>72.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>170.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>169.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</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>112.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>174.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>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>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>73.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>51.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>157.0</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>23.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>29.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>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>121.0</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>42.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>170.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51.0</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>185.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>72.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>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>9.0</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>62.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>134.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>69.0</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>180.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>21.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>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>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</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>182.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>198.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>193.0</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>57.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>97.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>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>25.0</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>55.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>185.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>178.0</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>169.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>182.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>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>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>89.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112.0</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>170.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>77.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>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>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.0</td>\n",
       "      <td>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>33.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <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>66.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>144.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>144.0</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>69.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>88.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>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>73.0</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>29.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <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>177.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>153.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.0</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>144.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>184.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>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>54.0</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>88.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <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>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>114.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</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>157.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>37.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>139.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <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>75.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>128.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>139.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <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>51.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>61.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>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>156.0</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>156.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <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>169.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>169.0</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>7.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>108.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>182.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <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>131.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.0</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>101.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>62.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <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>2.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>180.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.0</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>132.0</td>\n",
       "      <td>9.0</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                    586.0                 0.0   \n",
       "1                   2.0                    556.0                 2.0   \n",
       "2                   1.0                    541.0                 1.0   \n",
       "3                   3.0                    518.0                 3.0   \n",
       "4                   4.0                    281.0                 4.0   \n",
       "5                   6.0                    244.0                 6.0   \n",
       "6                   5.0                    225.0                 5.0   \n",
       "7                   7.0                     57.0                 7.0   \n",
       "8                   8.0                      8.0                 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                     585.0           43.0                67.0   \n",
       "1                     556.0           21.0                67.0   \n",
       "2                     541.0           19.0                67.0   \n",
       "3                     518.0           18.0                67.0   \n",
       "4                     281.0           17.0                67.0   \n",
       "5                     244.0           16.0                67.0   \n",
       "6                     225.0           15.0                67.0   \n",
       "7                      57.0           14.0                67.0   \n",
       "8                       8.0           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             195.0                  45.0                  1.0   \n",
       "1              58.0                  45.0                  0.0   \n",
       "2             125.0                  45.0                  2.0   \n",
       "3             103.0                  45.0                  3.0   \n",
       "4              93.0                  45.0                  NaN   \n",
       "5              87.0                  45.0                  NaN   \n",
       "6             165.0                  45.0                  NaN   \n",
       "7              69.0                  45.0                  NaN   \n",
       "8             181.0                  45.0                  NaN   \n",
       "9             187.0                  45.0                  NaN   \n",
       "10            153.0                  45.0                  NaN   \n",
       "11            192.0                  45.0                  NaN   \n",
       "12            144.0                  45.0                  NaN   \n",
       "13            128.0                  45.0                  NaN   \n",
       "14            124.0                  45.0                  NaN   \n",
       "15            112.0                  45.0                  NaN   \n",
       "16             56.0                  45.0                  NaN   \n",
       "17            162.0                  45.0                  NaN   \n",
       "18             52.0                  45.0                  NaN   \n",
       "19             46.0                  45.0                  NaN   \n",
       "20             40.0                  45.0                  NaN   \n",
       "21             38.0                  45.0                  NaN   \n",
       "22             31.0                  45.0                  NaN   \n",
       "23             23.0                  45.0                  NaN   \n",
       "24             22.0                  45.0                  NaN   \n",
       "25             17.0                  45.0                  NaN   \n",
       "26             13.0                  45.0                  NaN   \n",
       "27             10.0                  45.0                  NaN   \n",
       "28              8.0                  45.0                  NaN   \n",
       "29              7.0                  45.0                  NaN   \n",
       "30              6.0                  45.0                  NaN   \n",
       "31              5.0                  45.0                  NaN   \n",
       "32            166.0                  45.0                  NaN   \n",
       "33            198.0                  45.0                  NaN   \n",
       "34            173.0                  45.0                  NaN   \n",
       "35            132.0                  45.0                  NaN   \n",
       "36            191.0                  45.0                  NaN   \n",
       "37            178.0                  45.0                  NaN   \n",
       "38            190.0                  45.0                  NaN   \n",
       "39            138.0                  45.0                  NaN   \n",
       "40            119.0                  45.0                  NaN   \n",
       "41            113.0                  45.0                  NaN   \n",
       "42            193.0                  45.0                  NaN   \n",
       "43             99.0                  45.0                  NaN   \n",
       "44             85.0                  45.0                  NaN   \n",
       "45            163.0                  45.0                  NaN   \n",
       "46             71.0                  45.0                  NaN   \n",
       "47            185.0                  45.0                  NaN   \n",
       "48            157.0                  45.0                  NaN   \n",
       "49            180.0                  45.0                  NaN   \n",
       "50            126.0                  45.0                  NaN   \n",
       "51            194.0                  45.0                  NaN   \n",
       "52            170.0                  45.0                  NaN   \n",
       "53            118.0                  45.0                  NaN   \n",
       "54            114.0                  45.0                  NaN   \n",
       "55            134.0                  45.0                  NaN   \n",
       "56             82.0                  45.0                  NaN   \n",
       "57             78.0                  45.0                  NaN   \n",
       "58            101.0                  45.0                  NaN   \n",
       "59             66.0                  45.0                  NaN   \n",
       "60            177.0                  45.0                  NaN   \n",
       "61             57.0                  45.0                  NaN   \n",
       "62             75.0                  45.0                  NaN   \n",
       "63             51.0                  45.0                  NaN   \n",
       "64            169.0                  45.0                  NaN   \n",
       "65            131.0                  45.0                  NaN   \n",
       "66              2.0                  45.0                  NaN   \n",
       "\n",
       "    tippingPoint26_all_2020  freq26_tipacc_2020  tippingPoint26_acc_2020  \\\n",
       "0                    1360.0                 1.0                   1360.0   \n",
       "1                     996.0                 0.0                    995.0   \n",
       "2                     533.0                 NaN                      NaN   \n",
       "3                     127.0                 NaN                      NaN   \n",
       "4                       NaN                 NaN                      NaN   \n",
       "5                       NaN                 NaN                      NaN   \n",
       "6                       NaN                 NaN                      NaN   \n",
       "7                       NaN                 NaN                      NaN   \n",
       "8                       NaN                 NaN                      NaN   \n",
       "9                       NaN                 NaN                      NaN   \n",
       "10                      NaN                 NaN                      NaN   \n",
       "11                      NaN                 NaN                      NaN   \n",
       "12                      NaN                 NaN                      NaN   \n",
       "13                      NaN                 NaN                      NaN   \n",
       "14                      NaN                 NaN                      NaN   \n",
       "15                      NaN                 NaN                      NaN   \n",
       "16                      NaN                 NaN                      NaN   \n",
       "17                      NaN                 NaN                      NaN   \n",
       "18                      NaN                 NaN                      NaN   \n",
       "19                      NaN                 NaN                      NaN   \n",
       "20                      NaN                 NaN                      NaN   \n",
       "21                      NaN                 NaN                      NaN   \n",
       "22                      NaN                 NaN                      NaN   \n",
       "23                      NaN                 NaN                      NaN   \n",
       "24                      NaN                 NaN                      NaN   \n",
       "25                      NaN                 NaN                      NaN   \n",
       "26                      NaN                 NaN                      NaN   \n",
       "27                      NaN                 NaN                      NaN   \n",
       "28                      NaN                 NaN                      NaN   \n",
       "29                      NaN                 NaN                      NaN   \n",
       "30                      NaN                 NaN                      NaN   \n",
       "31                      NaN                 NaN                      NaN   \n",
       "32                      NaN                 NaN                      NaN   \n",
       "33                      NaN                 NaN                      NaN   \n",
       "34                      NaN                 NaN                      NaN   \n",
       "35                      NaN                 NaN                      NaN   \n",
       "36                      NaN                 NaN                      NaN   \n",
       "37                      NaN                 NaN                      NaN   \n",
       "38                      NaN                 NaN                      NaN   \n",
       "39                      NaN                 NaN                      NaN   \n",
       "40                      NaN                 NaN                      NaN   \n",
       "41                      NaN                 NaN                      NaN   \n",
       "42                      NaN                 NaN                      NaN   \n",
       "43                      NaN                 NaN                      NaN   \n",
       "44                      NaN                 NaN                      NaN   \n",
       "45                      NaN                 NaN                      NaN   \n",
       "46                      NaN                 NaN                      NaN   \n",
       "47                      NaN                 NaN                      NaN   \n",
       "48                      NaN                 NaN                      NaN   \n",
       "49                      NaN                 NaN                      NaN   \n",
       "50                      NaN                 NaN                      NaN   \n",
       "51                      NaN                 NaN                      NaN   \n",
       "52                      NaN                 NaN                      NaN   \n",
       "53                      NaN                 NaN                      NaN   \n",
       "54                      NaN                 NaN                      NaN   \n",
       "55                      NaN                 NaN                      NaN   \n",
       "56                      NaN                 NaN                      NaN   \n",
       "57                      NaN                 NaN                      NaN   \n",
       "58                      NaN                 NaN                      NaN   \n",
       "59                      NaN                 NaN                      NaN   \n",
       "60                      NaN                 NaN                      NaN   \n",
       "61                      NaN                 NaN                      NaN   \n",
       "62                      NaN                 NaN                      NaN   \n",
       "63                      NaN                 NaN                      NaN   \n",
       "64                      NaN                 NaN                      NaN   \n",
       "65                      NaN                 NaN                      NaN   \n",
       "66                      NaN                 NaN                      NaN   \n",
       "\n",
       "    Policy26_2020  freq26_2020_policy  scenario26_2020  freq26_2020_scenario  \\\n",
       "0            39.0                67.0            191.0                  40.0   \n",
       "1             6.0                67.0            113.0                  40.0   \n",
       "2             4.0                66.0            132.0                  39.0   \n",
       "3            28.0                66.0            173.0                  39.0   \n",
       "4            20.0                66.0            134.0                  39.0   \n",
       "5            34.0                65.0            163.0                  38.0   \n",
       "6            19.0                65.0             57.0                  38.0   \n",
       "7            44.0                64.0            131.0                  38.0   \n",
       "8             9.0                63.0            192.0                  38.0   \n",
       "9            37.0                63.0            190.0                  38.0   \n",
       "10           14.0                63.0             87.0                  38.0   \n",
       "11           24.0                63.0            101.0                  37.0   \n",
       "12           33.0                62.0            195.0                  37.0   \n",
       "13           13.0                61.0            138.0                  37.0   \n",
       "14           31.0                60.0            112.0                  37.0   \n",
       "15           25.0                60.0             52.0                  37.0   \n",
       "16            1.0                59.0             46.0                  37.0   \n",
       "17            5.0                59.0             13.0                  37.0   \n",
       "18           35.0                59.0            187.0                  37.0   \n",
       "19           10.0                59.0            103.0                  37.0   \n",
       "20           27.0                59.0              2.0                  37.0   \n",
       "21            0.0                59.0            118.0                  37.0   \n",
       "22           43.0                58.0             99.0                  37.0   \n",
       "23           41.0                58.0            162.0                  37.0   \n",
       "24            3.0                57.0             31.0                  36.0   \n",
       "25            7.0                56.0             22.0                  36.0   \n",
       "26           11.0                56.0             75.0                  36.0   \n",
       "27           26.0                55.0            157.0                  36.0   \n",
       "28           12.0                55.0            177.0                  35.0   \n",
       "29           32.0                54.0             66.0                  35.0   \n",
       "30           23.0                54.0            124.0                  35.0   \n",
       "31           38.0                51.0            181.0                  35.0   \n",
       "32           18.0                49.0             56.0                  35.0   \n",
       "33           36.0                44.0            165.0                  35.0   \n",
       "34           21.0                35.0            194.0                  35.0   \n",
       "35           30.0                34.0             85.0                  35.0   \n",
       "36           15.0                31.0            166.0                  35.0   \n",
       "37           16.0                31.0            178.0                  35.0   \n",
       "38           40.0                31.0              7.0                  34.0   \n",
       "39            2.0                31.0              5.0                  34.0   \n",
       "40           42.0                31.0             23.0                  34.0   \n",
       "41           29.0                28.0              6.0                  34.0   \n",
       "42           17.0                28.0              8.0                  34.0   \n",
       "43           22.0                28.0             10.0                  34.0   \n",
       "44            8.0                25.0             40.0                  34.0   \n",
       "45            NaN                 NaN            126.0                  34.0   \n",
       "46            NaN                 NaN            193.0                  34.0   \n",
       "47            NaN                 NaN             82.0                  34.0   \n",
       "48            NaN                 NaN             69.0                  34.0   \n",
       "49            NaN                 NaN             93.0                  34.0   \n",
       "50            NaN                 NaN            125.0                  34.0   \n",
       "51            NaN                 NaN             71.0                  34.0   \n",
       "52            NaN                 NaN            169.0                  33.0   \n",
       "53            NaN                 NaN             51.0                  33.0   \n",
       "54            NaN                 NaN            170.0                  33.0   \n",
       "55            NaN                 NaN             58.0                  33.0   \n",
       "56            NaN                 NaN            198.0                  33.0   \n",
       "57            NaN                 NaN            185.0                  33.0   \n",
       "58            NaN                 NaN             17.0                  32.0   \n",
       "59            NaN                 NaN            144.0                  32.0   \n",
       "60            NaN                 NaN            153.0                  32.0   \n",
       "61            NaN                 NaN            114.0                  32.0   \n",
       "62            NaN                 NaN            128.0                  32.0   \n",
       "63            NaN                 NaN            119.0                  31.0   \n",
       "64            NaN                 NaN             78.0                  31.0   \n",
       "65            NaN                 NaN             38.0                  31.0   \n",
       "66            NaN                 NaN            180.0                  28.0   \n",
       "\n",
       "    freq26_tip_all_2050  tippingPoint26_all_2050  freq26_tipacc_2050  \\\n",
       "0                   7.0                    468.0                 3.0   \n",
       "1                   8.0                    430.0                 0.0   \n",
       "2                   6.0                    412.0                 4.0   \n",
       "3                   9.0                    309.0                 1.0   \n",
       "4                   5.0                    302.0                 2.0   \n",
       "5                   3.0                    243.0                 NaN   \n",
       "6                   0.0                    235.0                 NaN   \n",
       "7                   4.0                    217.0                 NaN   \n",
       "8                   1.0                    174.0                 NaN   \n",
       "9                   2.0                    145.0                 NaN   \n",
       "10                 10.0                     81.0                 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                     243.0           39.0                51.0   \n",
       "1                     234.0            6.0                45.0   \n",
       "2                     217.0           28.0                44.0   \n",
       "3                     174.0           44.0                41.0   \n",
       "4                     145.0           34.0                41.0   \n",
       "5                       NaN            4.0                40.0   \n",
       "6                       NaN           14.0                37.0   \n",
       "7                       NaN           24.0                36.0   \n",
       "8                       NaN           20.0                33.0   \n",
       "9                       NaN           19.0                33.0   \n",
       "10                      NaN           37.0                31.0   \n",
       "11                      NaN           25.0                31.0   \n",
       "12                      NaN            9.0                31.0   \n",
       "13                      NaN           27.0                30.0   \n",
       "14                      NaN           33.0                27.0   \n",
       "15                      NaN           43.0                26.0   \n",
       "16                      NaN           35.0                25.0   \n",
       "17                      NaN           10.0                24.0   \n",
       "18                      NaN            5.0                24.0   \n",
       "19                      NaN           13.0                24.0   \n",
       "20                      NaN           31.0                23.0   \n",
       "21                      NaN           41.0                22.0   \n",
       "22                      NaN           11.0                21.0   \n",
       "23                      NaN            7.0                21.0   \n",
       "24                      NaN            3.0                20.0   \n",
       "25                      NaN            0.0                20.0   \n",
       "26                      NaN           32.0                19.0   \n",
       "27                      NaN           38.0                19.0   \n",
       "28                      NaN            1.0                18.0   \n",
       "29                      NaN           23.0                18.0   \n",
       "30                      NaN           26.0                18.0   \n",
       "31                      NaN           18.0                16.0   \n",
       "32                      NaN           12.0                16.0   \n",
       "33                      NaN           36.0                16.0   \n",
       "34                      NaN           16.0                11.0   \n",
       "35                      NaN           42.0                 8.0   \n",
       "36                      NaN           30.0                 8.0   \n",
       "37                      NaN           21.0                 8.0   \n",
       "38                      NaN           15.0                 8.0   \n",
       "39                      NaN           40.0                 6.0   \n",
       "40                      NaN           22.0                 6.0   \n",
       "41                      NaN           17.0                 5.0   \n",
       "42                      NaN            2.0                 5.0   \n",
       "43                      NaN            8.0                 4.0   \n",
       "44                      NaN           29.0                 3.0   \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               6.0                  21.0                  8.0   \n",
       "1             163.0                  20.0                  7.0   \n",
       "2             192.0                  20.0                  9.0   \n",
       "3             162.0                  20.0                  6.0   \n",
       "4             138.0                  19.0                  5.0   \n",
       "5              99.0                  19.0                  2.0   \n",
       "6             187.0                  18.0                  0.0   \n",
       "7             124.0                  18.0                  4.0   \n",
       "8              85.0                  18.0                  3.0   \n",
       "9              78.0                  18.0                  1.0   \n",
       "10             13.0                  18.0                  NaN   \n",
       "11             56.0                  18.0                  NaN   \n",
       "12            177.0                  17.0                  NaN   \n",
       "13            125.0                  17.0                  NaN   \n",
       "14             93.0                  17.0                  NaN   \n",
       "15             38.0                  17.0                  NaN   \n",
       "16             75.0                  17.0                  NaN   \n",
       "17             66.0                  17.0                  NaN   \n",
       "18             82.0                  16.0                  NaN   \n",
       "19            128.0                  16.0                  NaN   \n",
       "20            126.0                  16.0                  NaN   \n",
       "21            114.0                  16.0                  NaN   \n",
       "22            194.0                  16.0                  NaN   \n",
       "23              5.0                  16.0                  NaN   \n",
       "24            180.0                  16.0                  NaN   \n",
       "25              2.0                  16.0                  NaN   \n",
       "26            153.0                  16.0                  NaN   \n",
       "27            103.0                  15.0                  NaN   \n",
       "28             46.0                  15.0                  NaN   \n",
       "29            185.0                  15.0                  NaN   \n",
       "30            166.0                  15.0                  NaN   \n",
       "31             31.0                  15.0                  NaN   \n",
       "32              8.0                  15.0                  NaN   \n",
       "33             17.0                  15.0                  NaN   \n",
       "34            131.0                  15.0                  NaN   \n",
       "35            191.0                  15.0                  NaN   \n",
       "36            170.0                  15.0                  NaN   \n",
       "37             58.0                  15.0                  NaN   \n",
       "38            113.0                  15.0                  NaN   \n",
       "39            190.0                  15.0                  NaN   \n",
       "40            165.0                  14.0                  NaN   \n",
       "41            173.0                  14.0                  NaN   \n",
       "42            181.0                  14.0                  NaN   \n",
       "43            118.0                  14.0                  NaN   \n",
       "44            198.0                  14.0                  NaN   \n",
       "45             10.0                  14.0                  NaN   \n",
       "46             71.0                  14.0                  NaN   \n",
       "47            134.0                  14.0                  NaN   \n",
       "48             22.0                  14.0                  NaN   \n",
       "49            119.0                  14.0                  NaN   \n",
       "50              7.0                  14.0                  NaN   \n",
       "51            195.0                  13.0                  NaN   \n",
       "52             23.0                  13.0                  NaN   \n",
       "53            157.0                  13.0                  NaN   \n",
       "54             51.0                  13.0                  NaN   \n",
       "55             69.0                  13.0                  NaN   \n",
       "56            193.0                  13.0                  NaN   \n",
       "57            178.0                  13.0                  NaN   \n",
       "58            112.0                  12.0                  NaN   \n",
       "59            144.0                  12.0                  NaN   \n",
       "60             52.0                  12.0                  NaN   \n",
       "61             87.0                  12.0                  NaN   \n",
       "62             57.0                  12.0                  NaN   \n",
       "63             40.0                  11.0                  NaN   \n",
       "64            169.0                  11.0                  NaN   \n",
       "65            101.0                  10.0                  NaN   \n",
       "66            132.0                   8.0                  NaN   \n",
       "\n",
       "    tippingPoint26_all_2070  freq26_tipacc_2070  tippingPoint26_acc_2070  \\\n",
       "0                     503.0                 2.0                    276.0   \n",
       "1                     399.0                 0.0                    237.0   \n",
       "2                     372.0                 4.0                    233.0   \n",
       "3                     358.0                 3.0                    180.0   \n",
       "4                     282.0                 1.0                    175.0   \n",
       "5                     276.0                 NaN                      NaN   \n",
       "6                     238.0                 NaN                      NaN   \n",
       "7                     233.0                 NaN                      NaN   \n",
       "8                     180.0                 NaN                      NaN   \n",
       "9                     175.0                 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            39.0                47.0            162.0                  23.0   \n",
       "1             4.0                43.0            173.0                  22.0   \n",
       "2            34.0                42.0            126.0                  22.0   \n",
       "3             6.0                42.0             56.0                  21.0   \n",
       "4            44.0                40.0            192.0                  21.0   \n",
       "5            28.0                39.0              6.0                  20.0   \n",
       "6            14.0                37.0            163.0                  20.0   \n",
       "7            19.0                35.0            114.0                  20.0   \n",
       "8            24.0                35.0            125.0                  19.0   \n",
       "9            20.0                34.0            138.0                  19.0   \n",
       "10           25.0                33.0             66.0                  19.0   \n",
       "11           37.0                31.0            134.0                  19.0   \n",
       "12           27.0                31.0             13.0                  19.0   \n",
       "13            9.0                29.0             93.0                  18.0   \n",
       "14            5.0                28.0            128.0                  18.0   \n",
       "15           43.0                27.0             78.0                  18.0   \n",
       "16           35.0                26.0            187.0                  18.0   \n",
       "17           33.0                25.0             85.0                  18.0   \n",
       "18           13.0                25.0             99.0                  18.0   \n",
       "19           31.0                24.0             22.0                  18.0   \n",
       "20           10.0                23.0              5.0                  18.0   \n",
       "21           11.0                22.0             46.0                  17.0   \n",
       "22           38.0                21.0            177.0                  17.0   \n",
       "23            3.0                21.0            191.0                  17.0   \n",
       "24           41.0                21.0            166.0                  17.0   \n",
       "25            7.0                20.0             75.0                  17.0   \n",
       "26            0.0                20.0            103.0                  17.0   \n",
       "27           32.0                20.0            131.0                  17.0   \n",
       "28           18.0                19.0            124.0                  17.0   \n",
       "29           12.0                19.0            193.0                  17.0   \n",
       "30           23.0                19.0            118.0                  17.0   \n",
       "31           26.0                19.0             82.0                  17.0   \n",
       "32           36.0                19.0            165.0                  16.0   \n",
       "33            1.0                18.0              2.0                  16.0   \n",
       "34           15.0                15.0             52.0                  16.0   \n",
       "35           16.0                15.0             40.0                  16.0   \n",
       "36           21.0                14.0            181.0                  16.0   \n",
       "37           40.0                14.0             38.0                  16.0   \n",
       "38           42.0                14.0             17.0                  16.0   \n",
       "39           17.0                13.0            178.0                  16.0   \n",
       "40            2.0                13.0            119.0                  16.0   \n",
       "41           30.0                13.0             58.0                  16.0   \n",
       "42            8.0                12.0            190.0                  16.0   \n",
       "43           29.0                12.0            153.0                  16.0   \n",
       "44           22.0                12.0             71.0                  15.0   \n",
       "45            NaN                 NaN            198.0                  15.0   \n",
       "46            NaN                 NaN              8.0                  15.0   \n",
       "47            NaN                 NaN            194.0                  15.0   \n",
       "48            NaN                 NaN             10.0                  15.0   \n",
       "49            NaN                 NaN             31.0                  14.0   \n",
       "50            NaN                 NaN            113.0                  14.0   \n",
       "51            NaN                 NaN            195.0                  14.0   \n",
       "52            NaN                 NaN            112.0                  14.0   \n",
       "53            NaN                 NaN             23.0                  14.0   \n",
       "54            NaN                 NaN            185.0                  14.0   \n",
       "55            NaN                 NaN            180.0                  14.0   \n",
       "56            NaN                 NaN             57.0                  14.0   \n",
       "57            NaN                 NaN            169.0                  14.0   \n",
       "58            NaN                 NaN            170.0                  14.0   \n",
       "59            NaN                 NaN             69.0                  14.0   \n",
       "60            NaN                 NaN            144.0                  13.0   \n",
       "61            NaN                 NaN            157.0                  13.0   \n",
       "62            NaN                 NaN             51.0                  13.0   \n",
       "63            NaN                 NaN             87.0                  13.0   \n",
       "64            NaN                 NaN              7.0                  13.0   \n",
       "65            NaN                 NaN            101.0                  11.0   \n",
       "66            NaN                 NaN            132.0                   9.0   \n",
       "\n",
       "    freq45_tip_all_1980  tippingPoint45_all_1980  ...  scenario45_2070  \\\n",
       "0                   0.0                    616.0  ...             18.0   \n",
       "1                   2.0                    503.0  ...            158.0   \n",
       "2                   3.0                    430.0  ...             25.0   \n",
       "3                   1.0                    401.0  ...             76.0   \n",
       "4                   4.0                    350.0  ...            115.0   \n",
       "5                   5.0                    273.0  ...            109.0   \n",
       "6                   6.0                    259.0  ...            106.0   \n",
       "7                   7.0                    114.0  ...            130.0   \n",
       "8                   8.0                     25.0  ...             80.0   \n",
       "9                   NaN                      NaN  ...            100.0   \n",
       "10                  NaN                      NaN  ...            143.0   \n",
       "11                  NaN                      NaN  ...             74.0   \n",
       "12                  NaN                      NaN  ...             33.0   \n",
       "13                  NaN                      NaN  ...              9.0   \n",
       "14                  NaN                      NaN  ...            136.0   \n",
       "15                  NaN                      NaN  ...             60.0   \n",
       "16                  NaN                      NaN  ...            142.0   \n",
       "17                  NaN                      NaN  ...             81.0   \n",
       "18                  NaN                      NaN  ...             24.0   \n",
       "19                  NaN                      NaN  ...             42.0   \n",
       "20                  NaN                      NaN  ...             92.0   \n",
       "21                  NaN                      NaN  ...             12.0   \n",
       "22                  NaN                      NaN  ...             14.0   \n",
       "23                  NaN                      NaN  ...            111.0   \n",
       "24                  NaN                      NaN  ...            135.0   \n",
       "25                  NaN                      NaN  ...             95.0   \n",
       "26                  NaN                      NaN  ...            188.0   \n",
       "27                  NaN                      NaN  ...             63.0   \n",
       "28                  NaN                      NaN  ...             55.0   \n",
       "29                  NaN                      NaN  ...            145.0   \n",
       "30                  NaN                      NaN  ...            123.0   \n",
       "31                  NaN                      NaN  ...            102.0   \n",
       "32                  NaN                      NaN  ...            155.0   \n",
       "33                  NaN                      NaN  ...            151.0   \n",
       "34                  NaN                      NaN  ...             50.0   \n",
       "35                  NaN                      NaN  ...            107.0   \n",
       "36                  NaN                      NaN  ...            121.0   \n",
       "37                  NaN                      NaN  ...            174.0   \n",
       "38                  NaN                      NaN  ...             89.0   \n",
       "39                  NaN                      NaN  ...             48.0   \n",
       "40                  NaN                      NaN  ...            141.0   \n",
       "41                  NaN                      NaN  ...             35.0   \n",
       "42                  NaN                      NaN  ...            156.0   \n",
       "43                  NaN                      NaN  ...             26.0   \n",
       "44                  NaN                      NaN  ...            196.0   \n",
       "45                  NaN                      NaN  ...             43.0   \n",
       "46                  NaN                      NaN  ...             70.0   \n",
       "47                  NaN                      NaN  ...            117.0   \n",
       "48                  NaN                      NaN  ...             54.0   \n",
       "49                  NaN                      NaN  ...             73.0   \n",
       "50                  NaN                      NaN  ...             19.0   \n",
       "51                  NaN                      NaN  ...             84.0   \n",
       "52                  NaN                      NaN  ...              3.0   \n",
       "53                  NaN                      NaN  ...             29.0   \n",
       "54                  NaN                      NaN  ...             72.0   \n",
       "55                  NaN                      NaN  ...             21.0   \n",
       "56                  NaN                      NaN  ...             97.0   \n",
       "57                  NaN                      NaN  ...            182.0   \n",
       "58                  NaN                      NaN  ...             77.0   \n",
       "59                  NaN                      NaN  ...             88.0   \n",
       "60                  NaN                      NaN  ...            184.0   \n",
       "61                  NaN                      NaN  ...             37.0   \n",
       "62                  NaN                      NaN  ...            139.0   \n",
       "63                  NaN                      NaN  ...             61.0   \n",
       "64                  NaN                      NaN  ...            108.0   \n",
       "65                  NaN                      NaN  ...             62.0   \n",
       "66                  NaN                      NaN  ...              NaN   \n",
       "\n",
       "    freq45_2070_scenario  freq85_tip_all_1980  tippingPoint85_all_1980  \\\n",
       "0                   13.0                  0.0                    616.0   \n",
       "1                   12.0                  2.0                    503.0   \n",
       "2                   12.0                  3.0                    430.0   \n",
       "3                   11.0                  1.0                    401.0   \n",
       "4                   11.0                  4.0                    350.0   \n",
       "5                    9.0                  5.0                    273.0   \n",
       "6                    9.0                  6.0                    259.0   \n",
       "7                    9.0                  7.0                    114.0   \n",
       "8                    8.0                  8.0                     25.0   \n",
       "9                    8.0                  NaN                      NaN   \n",
       "10                   7.0                  NaN                      NaN   \n",
       "11                   7.0                  NaN                      NaN   \n",
       "12                   7.0                  NaN                      NaN   \n",
       "13                   7.0                  NaN                      NaN   \n",
       "14                   7.0                  NaN                      NaN   \n",
       "15                   7.0                  NaN                      NaN   \n",
       "16                   7.0                  NaN                      NaN   \n",
       "17                   7.0                  NaN                      NaN   \n",
       "18                   6.0                  NaN                      NaN   \n",
       "19                   6.0                  NaN                      NaN   \n",
       "20                   6.0                  NaN                      NaN   \n",
       "21                   6.0                  NaN                      NaN   \n",
       "22                   6.0                  NaN                      NaN   \n",
       "23                   6.0                  NaN                      NaN   \n",
       "24                   6.0                  NaN                      NaN   \n",
       "25                   6.0                  NaN                      NaN   \n",
       "26                   6.0                  NaN                      NaN   \n",
       "27                   6.0                  NaN                      NaN   \n",
       "28                   6.0                  NaN                      NaN   \n",
       "29                   5.0                  NaN                      NaN   \n",
       "30                   5.0                  NaN                      NaN   \n",
       "31                   5.0                  NaN                      NaN   \n",
       "32                   5.0                  NaN                      NaN   \n",
       "33                   5.0                  NaN                      NaN   \n",
       "34                   5.0                  NaN                      NaN   \n",
       "35                   5.0                  NaN                      NaN   \n",
       "36                   5.0                  NaN                      NaN   \n",
       "37                   5.0                  NaN                      NaN   \n",
       "38                   5.0                  NaN                      NaN   \n",
       "39                   5.0                  NaN                      NaN   \n",
       "40                   5.0                  NaN                      NaN   \n",
       "41                   5.0                  NaN                      NaN   \n",
       "42                   4.0                  NaN                      NaN   \n",
       "43                   4.0                  NaN                      NaN   \n",
       "44                   4.0                  NaN                      NaN   \n",
       "45                   4.0                  NaN                      NaN   \n",
       "46                   4.0                  NaN                      NaN   \n",
       "47                   4.0                  NaN                      NaN   \n",
       "48                   4.0                  NaN                      NaN   \n",
       "49                   4.0                  NaN                      NaN   \n",
       "50                   4.0                  NaN                      NaN   \n",
       "51                   4.0                  NaN                      NaN   \n",
       "52                   4.0                  NaN                      NaN   \n",
       "53                   4.0                  NaN                      NaN   \n",
       "54                   4.0                  NaN                      NaN   \n",
       "55                   4.0                  NaN                      NaN   \n",
       "56                   4.0                  NaN                      NaN   \n",
       "57                   3.0                  NaN                      NaN   \n",
       "58                   3.0                  NaN                      NaN   \n",
       "59                   3.0                  NaN                      NaN   \n",
       "60                   3.0                  NaN                      NaN   \n",
       "61                   3.0                  NaN                      NaN   \n",
       "62                   3.0                  NaN                      NaN   \n",
       "63                   3.0                  NaN                      NaN   \n",
       "64                   3.0                  NaN                      NaN   \n",
       "65                   2.0                  NaN                      NaN   \n",
       "66                   NaN                  NaN                      NaN   \n",
       "\n",
       "    freq85_tipacc_1980  tippingPoint85_acc_1980  Policy85_1980  \\\n",
       "0                  0.0                    615.0           43.0   \n",
       "1                  2.0                    503.0           21.0   \n",
       "2                  3.0                    430.0           19.0   \n",
       "3                  1.0                    401.0           18.0   \n",
       "4                  4.0                    350.0           17.0   \n",
       "5                  5.0                    273.0           16.0   \n",
       "6                  6.0                    259.0           15.0   \n",
       "7                  7.0                    114.0           14.0   \n",
       "8                  8.0                     25.0           13.0   \n",
       "9                  NaN                      NaN           12.0   \n",
       "10                 NaN                      NaN           11.0   \n",
       "11                 NaN                      NaN           10.0   \n",
       "12                 NaN                      NaN            9.0   \n",
       "13                 NaN                      NaN            8.0   \n",
       "14                 NaN                      NaN            7.0   \n",
       "15                 NaN                      NaN            6.0   \n",
       "16                 NaN                      NaN            5.0   \n",
       "17                 NaN                      NaN            4.0   \n",
       "18                 NaN                      NaN            3.0   \n",
       "19                 NaN                      NaN            2.0   \n",
       "20                 NaN                      NaN            1.0   \n",
       "21                 NaN                      NaN           20.0   \n",
       "22                 NaN                      NaN           22.0   \n",
       "23                 NaN                      NaN           41.0   \n",
       "24                 NaN                      NaN           23.0   \n",
       "25                 NaN                      NaN           39.0   \n",
       "26                 NaN                      NaN           37.0   \n",
       "27                 NaN                      NaN           35.0   \n",
       "28                 NaN                      NaN           33.0   \n",
       "29                 NaN                      NaN           44.0   \n",
       "30                 NaN                      NaN           42.0   \n",
       "31                 NaN                      NaN           40.0   \n",
       "32                 NaN                      NaN           38.0   \n",
       "33                 NaN                      NaN           36.0   \n",
       "34                 NaN                      NaN           34.0   \n",
       "35                 NaN                      NaN           32.0   \n",
       "36                 NaN                      NaN           31.0   \n",
       "37                 NaN                      NaN           30.0   \n",
       "38                 NaN                      NaN           29.0   \n",
       "39                 NaN                      NaN           28.0   \n",
       "40                 NaN                      NaN           27.0   \n",
       "41                 NaN                      NaN           26.0   \n",
       "42                 NaN                      NaN           25.0   \n",
       "43                 NaN                      NaN           24.0   \n",
       "44                 NaN                      NaN            0.0   \n",
       "45                 NaN                      NaN            NaN   \n",
       "46                 NaN                      NaN            NaN   \n",
       "47                 NaN                      NaN            NaN   \n",
       "48                 NaN                      NaN            NaN   \n",
       "49                 NaN                      NaN            NaN   \n",
       "50                 NaN                      NaN            NaN   \n",
       "51                 NaN                      NaN            NaN   \n",
       "52                 NaN                      NaN            NaN   \n",
       "53                 NaN                      NaN            NaN   \n",
       "54                 NaN                      NaN            NaN   \n",
       "55                 NaN                      NaN            NaN   \n",
       "56                 NaN                      NaN            NaN   \n",
       "57                 NaN                      NaN            NaN   \n",
       "58                 NaN                      NaN            NaN   \n",
       "59                 NaN                      NaN            NaN   \n",
       "60                 NaN                      NaN            NaN   \n",
       "61                 NaN                      NaN            NaN   \n",
       "62                 NaN                      NaN            NaN   \n",
       "63                 NaN                      NaN            NaN   \n",
       "64                 NaN                      NaN            NaN   \n",
       "65                 NaN                      NaN            NaN   \n",
       "66                 NaN                      NaN            NaN   \n",
       "\n",
       "    freq85_1980_policy  scenario85_1980  freq85_1980_scenario  \\\n",
       "0                 66.0            135.0                  45.0   \n",
       "1                 66.0             62.0                  45.0   \n",
       "2                 66.0            107.0                  45.0   \n",
       "3                 66.0             73.0                  45.0   \n",
       "4                 66.0            155.0                  45.0   \n",
       "5                 66.0            145.0                  45.0   \n",
       "6                 66.0            184.0                  45.0   \n",
       "7                 66.0            136.0                  45.0   \n",
       "8                 66.0            108.0                  45.0   \n",
       "9                 66.0            100.0                  45.0   \n",
       "10                66.0             92.0                  45.0   \n",
       "11                66.0             88.0                  45.0   \n",
       "12                66.0             84.0                  45.0   \n",
       "13                66.0             80.0                  45.0   \n",
       "14                66.0             76.0                  45.0   \n",
       "15                66.0             72.0                  45.0   \n",
       "16                66.0             60.0                  45.0   \n",
       "17                66.0            158.0                  45.0   \n",
       "18                66.0             54.0                  45.0   \n",
       "19                66.0             50.0                  45.0   \n",
       "20                66.0             48.0                  45.0   \n",
       "21                66.0             42.0                  45.0   \n",
       "22                66.0             29.0                  45.0   \n",
       "23                66.0             26.0                  45.0   \n",
       "24                66.0             25.0                  45.0   \n",
       "25                66.0             24.0                  45.0   \n",
       "26                66.0             21.0                  45.0   \n",
       "27                66.0             19.0                  45.0   \n",
       "28                66.0             18.0                  45.0   \n",
       "29                66.0             14.0                  45.0   \n",
       "30                66.0             12.0                  45.0   \n",
       "31                66.0              9.0                  45.0   \n",
       "32                66.0             89.0                  45.0   \n",
       "33                66.0            115.0                  45.0   \n",
       "34                66.0            117.0                  45.0   \n",
       "35                66.0            142.0                  45.0   \n",
       "36                66.0            130.0                  45.0   \n",
       "37                66.0            123.0                  45.0   \n",
       "38                66.0            109.0                  45.0   \n",
       "39                66.0            111.0                  45.0   \n",
       "40                66.0             81.0                  45.0   \n",
       "41                66.0            143.0                  45.0   \n",
       "42                66.0             95.0                  45.0   \n",
       "43                66.0            151.0                  45.0   \n",
       "44                66.0            141.0                  45.0   \n",
       "45                 NaN            196.0                  45.0   \n",
       "46                 NaN            188.0                  45.0   \n",
       "47                 NaN            156.0                  45.0   \n",
       "48                 NaN            106.0                  45.0   \n",
       "49                 NaN            102.0                  45.0   \n",
       "50                 NaN             74.0                  45.0   \n",
       "51                 NaN             70.0                  45.0   \n",
       "52                 NaN            174.0                  45.0   \n",
       "53                 NaN             63.0                  45.0   \n",
       "54                 NaN             61.0                  45.0   \n",
       "55                 NaN            121.0                  45.0   \n",
       "56                 NaN             55.0                  45.0   \n",
       "57                 NaN             43.0                  45.0   \n",
       "58                 NaN             97.0                  45.0   \n",
       "59                 NaN             37.0                  45.0   \n",
       "60                 NaN             35.0                  45.0   \n",
       "61                 NaN             77.0                  45.0   \n",
       "62                 NaN             33.0                  45.0   \n",
       "63                 NaN            139.0                  45.0   \n",
       "64                 NaN            182.0                  45.0   \n",
       "65                 NaN              3.0                  45.0   \n",
       "66                 NaN              NaN                   NaN   \n",
       "\n",
       "    freq85_tip_all_2020  tippingPoint85_all_2020  freq85_tipacc_2020  \\\n",
       "0                   1.0                   1118.0                 1.0   \n",
       "1                   2.0                   1081.0                 0.0   \n",
       "2                   0.0                    449.0                 NaN   \n",
       "3                   3.0                    323.0                 NaN   \n",
       "4                   NaN                      NaN                 NaN   \n",
       "5                   NaN                      NaN                 NaN   \n",
       "6                   NaN                      NaN                 NaN   \n",
       "7                   NaN                      NaN                 NaN   \n",
       "8                   NaN                      NaN                 NaN   \n",
       "9                   NaN                      NaN                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint85_acc_2020  Policy85_2020  freq85_2020_policy  \\\n",
       "0                    1118.0            6.0                64.0   \n",
       "1                     448.0           39.0                64.0   \n",
       "2                       NaN           28.0                63.0   \n",
       "3                       NaN            4.0                61.0   \n",
       "4                       NaN           44.0                60.0   \n",
       "5                       NaN           20.0                60.0   \n",
       "6                       NaN           34.0                60.0   \n",
       "7                       NaN           24.0                57.0   \n",
       "8                       NaN           14.0                57.0   \n",
       "9                       NaN            9.0                52.0   \n",
       "10                      NaN           19.0                51.0   \n",
       "11                      NaN            5.0                50.0   \n",
       "12                      NaN           37.0                49.0   \n",
       "13                      NaN           25.0                48.0   \n",
       "14                      NaN           27.0                47.0   \n",
       "15                      NaN           33.0                44.0   \n",
       "16                      NaN           35.0                40.0   \n",
       "17                      NaN           13.0                38.0   \n",
       "18                      NaN           11.0                35.0   \n",
       "19                      NaN           43.0                35.0   \n",
       "20                      NaN           31.0                35.0   \n",
       "21                      NaN           41.0                34.0   \n",
       "22                      NaN           32.0                33.0   \n",
       "23                      NaN           10.0                32.0   \n",
       "24                      NaN            3.0                32.0   \n",
       "25                      NaN            7.0                31.0   \n",
       "26                      NaN            0.0                31.0   \n",
       "27                      NaN           12.0                29.0   \n",
       "28                      NaN            1.0                28.0   \n",
       "29                      NaN           23.0                25.0   \n",
       "30                      NaN           26.0                25.0   \n",
       "31                      NaN           38.0                24.0   \n",
       "32                      NaN           18.0                19.0   \n",
       "33                      NaN           36.0                17.0   \n",
       "34                      NaN           22.0                15.0   \n",
       "35                      NaN            2.0                15.0   \n",
       "36                      NaN           30.0                15.0   \n",
       "37                      NaN           16.0                13.0   \n",
       "38                      NaN           42.0                13.0   \n",
       "39                      NaN           15.0                12.0   \n",
       "40                      NaN           21.0                12.0   \n",
       "41                      NaN           40.0                12.0   \n",
       "42                      NaN           17.0                11.0   \n",
       "43                      NaN           29.0                10.0   \n",
       "44                      NaN            8.0                 8.0   \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               3.0                  30.0                  8.0   \n",
       "1              42.0                  29.0                  9.0   \n",
       "2              48.0                  29.0                  7.0   \n",
       "3             151.0                  29.0                  6.0   \n",
       "4             141.0                  28.0                  5.0   \n",
       "5              80.0                  28.0                  4.0   \n",
       "6              37.0                  28.0                 10.0   \n",
       "7              24.0                  27.0                  2.0   \n",
       "8             158.0                  27.0                  3.0   \n",
       "9             143.0                  27.0                  1.0   \n",
       "10            106.0                  27.0                  0.0   \n",
       "11            145.0                  27.0                  NaN   \n",
       "12            102.0                  27.0                  NaN   \n",
       "13             18.0                  26.0                  NaN   \n",
       "14             62.0                  26.0                  NaN   \n",
       "15            109.0                  26.0                  NaN   \n",
       "16             61.0                  26.0                  NaN   \n",
       "17            117.0                  26.0                  NaN   \n",
       "18            135.0                  26.0                  NaN   \n",
       "19            188.0                  26.0                  NaN   \n",
       "20            115.0                  25.0                  NaN   \n",
       "21             97.0                  25.0                  NaN   \n",
       "22             35.0                  25.0                  NaN   \n",
       "23             92.0                  24.0                  NaN   \n",
       "24             70.0                  24.0                  NaN   \n",
       "25             33.0                  24.0                  NaN   \n",
       "26             88.0                  24.0                  NaN   \n",
       "27            123.0                  24.0                  NaN   \n",
       "28             50.0                  24.0                  NaN   \n",
       "29             29.0                  24.0                  NaN   \n",
       "30             43.0                  24.0                  NaN   \n",
       "31            182.0                  24.0                  NaN   \n",
       "32             21.0                  24.0                  NaN   \n",
       "33             63.0                  24.0                  NaN   \n",
       "34             76.0                  24.0                  NaN   \n",
       "35            111.0                  23.0                  NaN   \n",
       "36             55.0                  23.0                  NaN   \n",
       "37            136.0                  23.0                  NaN   \n",
       "38             12.0                  23.0                  NaN   \n",
       "39            196.0                  23.0                  NaN   \n",
       "40            107.0                  23.0                  NaN   \n",
       "41            184.0                  23.0                  NaN   \n",
       "42            174.0                  23.0                  NaN   \n",
       "43            155.0                  23.0                  NaN   \n",
       "44             14.0                  23.0                  NaN   \n",
       "45            100.0                  22.0                  NaN   \n",
       "46             89.0                  22.0                  NaN   \n",
       "47             81.0                  22.0                  NaN   \n",
       "48            139.0                  22.0                  NaN   \n",
       "49             84.0                  22.0                  NaN   \n",
       "50             60.0                  22.0                  NaN   \n",
       "51             72.0                  22.0                  NaN   \n",
       "52            142.0                  21.0                  NaN   \n",
       "53            121.0                  21.0                  NaN   \n",
       "54              9.0                  21.0                  NaN   \n",
       "55             19.0                  21.0                  NaN   \n",
       "56             25.0                  21.0                  NaN   \n",
       "57             95.0                  21.0                  NaN   \n",
       "58            108.0                  20.0                  NaN   \n",
       "59             73.0                  20.0                  NaN   \n",
       "60             54.0                  20.0                  NaN   \n",
       "61             26.0                  19.0                  NaN   \n",
       "62            130.0                  19.0                  NaN   \n",
       "63            156.0                  18.0                  NaN   \n",
       "64             74.0                  17.0                  NaN   \n",
       "65             77.0                  15.0                  NaN   \n",
       "66              NaN                   NaN                  NaN   \n",
       "\n",
       "    tippingPoint85_all_2050  freq85_tipacc_2050  tippingPoint85_acc_2050  \\\n",
       "0                     702.0                 4.0                    197.0   \n",
       "1                     557.0                 2.0                     87.0   \n",
       "2                     545.0                 3.0                     77.0   \n",
       "3                     327.0                 1.0                     50.0   \n",
       "4                     238.0                 0.0                     15.0   \n",
       "5                     197.0                 NaN                      NaN   \n",
       "6                     175.0                 NaN                      NaN   \n",
       "7                      87.0                 NaN                      NaN   \n",
       "8                      77.0                 NaN                      NaN   \n",
       "9                      50.0                 NaN                      NaN   \n",
       "10                     16.0                 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            39.0                33.0             76.0                  13.0   \n",
       "1             6.0                27.0             25.0                  13.0   \n",
       "2            28.0                24.0            106.0                  12.0   \n",
       "3            34.0                20.0            158.0                  12.0   \n",
       "4             4.0                20.0            109.0                  10.0   \n",
       "5            44.0                17.0             92.0                  10.0   \n",
       "6            20.0                17.0             18.0                   9.0   \n",
       "7            19.0                15.0             19.0                   9.0   \n",
       "8            14.0                14.0            130.0                   9.0   \n",
       "9            24.0                13.0            111.0                   9.0   \n",
       "10           33.0                12.0            136.0                   9.0   \n",
       "11            5.0                12.0             60.0                   9.0   \n",
       "12            9.0                12.0            100.0                   9.0   \n",
       "13           37.0                12.0              9.0                   8.0   \n",
       "14           25.0                12.0            142.0                   8.0   \n",
       "15           35.0                11.0            115.0                   8.0   \n",
       "16           27.0                11.0             61.0                   8.0   \n",
       "17           41.0                10.0            188.0                   8.0   \n",
       "18           31.0                10.0             80.0                   8.0   \n",
       "19           10.0                10.0            174.0                   8.0   \n",
       "20           11.0                10.0             35.0                   7.0   \n",
       "21           13.0                10.0             63.0                   7.0   \n",
       "22           43.0                 9.0            145.0                   7.0   \n",
       "23           32.0                 9.0             81.0                   7.0   \n",
       "24            7.0                 8.0             26.0                   7.0   \n",
       "25            0.0                 8.0            123.0                   7.0   \n",
       "26           26.0                 7.0             74.0                   7.0   \n",
       "27            3.0                 7.0              3.0                   6.0   \n",
       "28            1.0                 6.0             12.0                   6.0   \n",
       "29           12.0                 6.0             24.0                   6.0   \n",
       "30           38.0                 6.0            121.0                   6.0   \n",
       "31           23.0                 5.0            143.0                   6.0   \n",
       "32           18.0                 4.0            117.0                   6.0   \n",
       "33           36.0                 3.0             37.0                   6.0   \n",
       "34            2.0                 2.0             97.0                   6.0   \n",
       "35           42.0                 2.0            141.0                   6.0   \n",
       "36            8.0                 2.0             70.0                   6.0   \n",
       "37           30.0                 2.0            107.0                   6.0   \n",
       "38           15.0                 2.0            151.0                   6.0   \n",
       "39           22.0                 2.0            102.0                   6.0   \n",
       "40           16.0                 1.0             54.0                   5.0   \n",
       "41           40.0                 1.0             43.0                   5.0   \n",
       "42           29.0                 1.0             48.0                   5.0   \n",
       "43           21.0                 1.0             50.0                   5.0   \n",
       "44            NaN                 NaN            155.0                   5.0   \n",
       "45            NaN                 NaN            135.0                   5.0   \n",
       "46            NaN                 NaN            196.0                   5.0   \n",
       "47            NaN                 NaN            184.0                   5.0   \n",
       "48            NaN                 NaN             95.0                   5.0   \n",
       "49            NaN                 NaN             14.0                   5.0   \n",
       "50            NaN                 NaN            108.0                   5.0   \n",
       "51            NaN                 NaN             72.0                   5.0   \n",
       "52            NaN                 NaN             73.0                   4.0   \n",
       "53            NaN                 NaN             42.0                   4.0   \n",
       "54            NaN                 NaN             62.0                   4.0   \n",
       "55            NaN                 NaN            182.0                   4.0   \n",
       "56            NaN                 NaN             55.0                   4.0   \n",
       "57            NaN                 NaN             89.0                   4.0   \n",
       "58            NaN                 NaN             33.0                   4.0   \n",
       "59            NaN                 NaN             29.0                   4.0   \n",
       "60            NaN                 NaN             88.0                   4.0   \n",
       "61            NaN                 NaN            139.0                   3.0   \n",
       "62            NaN                 NaN             77.0                   3.0   \n",
       "63            NaN                 NaN            156.0                   3.0   \n",
       "64            NaN                 NaN             21.0                   3.0   \n",
       "65            NaN                 NaN             84.0                   2.0   \n",
       "66            NaN                 NaN              NaN                   NaN   \n",
       "\n",
       "    freq85_tip_all_2070  tippingPoint85_all_2070  freq85_tipacc_2070  \\\n",
       "0                   9.0                   2068.0                 3.0   \n",
       "1                   8.0                    731.0                 NaN   \n",
       "2                   7.0                    159.0                 NaN   \n",
       "3                   6.0                     34.0                 NaN   \n",
       "4                   5.0                     20.0                 NaN   \n",
       "5                   3.0                      3.0                 NaN   \n",
       "6                   0.0                      1.0                 NaN   \n",
       "7                   NaN                      NaN                 NaN   \n",
       "8                   NaN                      NaN                 NaN   \n",
       "9                   NaN                      NaN                 NaN   \n",
       "10                  NaN                      NaN                 NaN   \n",
       "11                  NaN                      NaN                 NaN   \n",
       "12                  NaN                      NaN                 NaN   \n",
       "13                  NaN                      NaN                 NaN   \n",
       "14                  NaN                      NaN                 NaN   \n",
       "15                  NaN                      NaN                 NaN   \n",
       "16                  NaN                      NaN                 NaN   \n",
       "17                  NaN                      NaN                 NaN   \n",
       "18                  NaN                      NaN                 NaN   \n",
       "19                  NaN                      NaN                 NaN   \n",
       "20                  NaN                      NaN                 NaN   \n",
       "21                  NaN                      NaN                 NaN   \n",
       "22                  NaN                      NaN                 NaN   \n",
       "23                  NaN                      NaN                 NaN   \n",
       "24                  NaN                      NaN                 NaN   \n",
       "25                  NaN                      NaN                 NaN   \n",
       "26                  NaN                      NaN                 NaN   \n",
       "27                  NaN                      NaN                 NaN   \n",
       "28                  NaN                      NaN                 NaN   \n",
       "29                  NaN                      NaN                 NaN   \n",
       "30                  NaN                      NaN                 NaN   \n",
       "31                  NaN                      NaN                 NaN   \n",
       "32                  NaN                      NaN                 NaN   \n",
       "33                  NaN                      NaN                 NaN   \n",
       "34                  NaN                      NaN                 NaN   \n",
       "35                  NaN                      NaN                 NaN   \n",
       "36                  NaN                      NaN                 NaN   \n",
       "37                  NaN                      NaN                 NaN   \n",
       "38                  NaN                      NaN                 NaN   \n",
       "39                  NaN                      NaN                 NaN   \n",
       "40                  NaN                      NaN                 NaN   \n",
       "41                  NaN                      NaN                 NaN   \n",
       "42                  NaN                      NaN                 NaN   \n",
       "43                  NaN                      NaN                 NaN   \n",
       "44                  NaN                      NaN                 NaN   \n",
       "45                  NaN                      NaN                 NaN   \n",
       "46                  NaN                      NaN                 NaN   \n",
       "47                  NaN                      NaN                 NaN   \n",
       "48                  NaN                      NaN                 NaN   \n",
       "49                  NaN                      NaN                 NaN   \n",
       "50                  NaN                      NaN                 NaN   \n",
       "51                  NaN                      NaN                 NaN   \n",
       "52                  NaN                      NaN                 NaN   \n",
       "53                  NaN                      NaN                 NaN   \n",
       "54                  NaN                      NaN                 NaN   \n",
       "55                  NaN                      NaN                 NaN   \n",
       "56                  NaN                      NaN                 NaN   \n",
       "57                  NaN                      NaN                 NaN   \n",
       "58                  NaN                      NaN                 NaN   \n",
       "59                  NaN                      NaN                 NaN   \n",
       "60                  NaN                      NaN                 NaN   \n",
       "61                  NaN                      NaN                 NaN   \n",
       "62                  NaN                      NaN                 NaN   \n",
       "63                  NaN                      NaN                 NaN   \n",
       "64                  NaN                      NaN                 NaN   \n",
       "65                  NaN                      NaN                 NaN   \n",
       "66                  NaN                      NaN                 NaN   \n",
       "\n",
       "    tippingPoint85_acc_2070  Policy85_2070  freq85_2070_policy  \\\n",
       "0                       3.0           39.0                 1.0   \n",
       "1                       NaN           28.0                 1.0   \n",
       "2                       NaN            6.0                 1.0   \n",
       "3                       NaN            NaN                 NaN   \n",
       "4                       NaN            NaN                 NaN   \n",
       "5                       NaN            NaN                 NaN   \n",
       "6                       NaN            NaN                 NaN   \n",
       "7                       NaN            NaN                 NaN   \n",
       "8                       NaN            NaN                 NaN   \n",
       "9                       NaN            NaN                 NaN   \n",
       "10                      NaN            NaN                 NaN   \n",
       "11                      NaN            NaN                 NaN   \n",
       "12                      NaN            NaN                 NaN   \n",
       "13                      NaN            NaN                 NaN   \n",
       "14                      NaN            NaN                 NaN   \n",
       "15                      NaN            NaN                 NaN   \n",
       "16                      NaN            NaN                 NaN   \n",
       "17                      NaN            NaN                 NaN   \n",
       "18                      NaN            NaN                 NaN   \n",
       "19                      NaN            NaN                 NaN   \n",
       "20                      NaN            NaN                 NaN   \n",
       "21                      NaN            NaN                 NaN   \n",
       "22                      NaN            NaN                 NaN   \n",
       "23                      NaN            NaN                 NaN   \n",
       "24                      NaN            NaN                 NaN   \n",
       "25                      NaN            NaN                 NaN   \n",
       "26                      NaN            NaN                 NaN   \n",
       "27                      NaN            NaN                 NaN   \n",
       "28                      NaN            NaN                 NaN   \n",
       "29                      NaN            NaN                 NaN   \n",
       "30                      NaN            NaN                 NaN   \n",
       "31                      NaN            NaN                 NaN   \n",
       "32                      NaN            NaN                 NaN   \n",
       "33                      NaN            NaN                 NaN   \n",
       "34                      NaN            NaN                 NaN   \n",
       "35                      NaN            NaN                 NaN   \n",
       "36                      NaN            NaN                 NaN   \n",
       "37                      NaN            NaN                 NaN   \n",
       "38                      NaN            NaN                 NaN   \n",
       "39                      NaN            NaN                 NaN   \n",
       "40                      NaN            NaN                 NaN   \n",
       "41                      NaN            NaN                 NaN   \n",
       "42                      NaN            NaN                 NaN   \n",
       "43                      NaN            NaN                 NaN   \n",
       "44                      NaN            NaN                 NaN   \n",
       "45                      NaN            NaN                 NaN   \n",
       "46                      NaN            NaN                 NaN   \n",
       "47                      NaN            NaN                 NaN   \n",
       "48                      NaN            NaN                 NaN   \n",
       "49                      NaN            NaN                 NaN   \n",
       "50                      NaN            NaN                 NaN   \n",
       "51                      NaN            NaN                 NaN   \n",
       "52                      NaN            NaN                 NaN   \n",
       "53                      NaN            NaN                 NaN   \n",
       "54                      NaN            NaN                 NaN   \n",
       "55                      NaN            NaN                 NaN   \n",
       "56                      NaN            NaN                 NaN   \n",
       "57                      NaN            NaN                 NaN   \n",
       "58                      NaN            NaN                 NaN   \n",
       "59                      NaN            NaN                 NaN   \n",
       "60                      NaN            NaN                 NaN   \n",
       "61                      NaN            NaN                 NaN   \n",
       "62                      NaN            NaN                 NaN   \n",
       "63                      NaN            NaN                 NaN   \n",
       "64                      NaN            NaN                 NaN   \n",
       "65                      NaN            NaN                 NaN   \n",
       "66                      NaN            NaN                 NaN   \n",
       "\n",
       "    scenario85_2070  freq85_2070_scenario  \n",
       "0             149.0                   1.0  \n",
       "1             160.0                   1.0  \n",
       "2              98.0                   1.0  \n",
       "3               NaN                   NaN  \n",
       "4               NaN                   NaN  \n",
       "5               NaN                   NaN  \n",
       "6               NaN                   NaN  \n",
       "7               NaN                   NaN  \n",
       "8               NaN                   NaN  \n",
       "9               NaN                   NaN  \n",
       "10              NaN                   NaN  \n",
       "11              NaN                   NaN  \n",
       "12              NaN                   NaN  \n",
       "13              NaN                   NaN  \n",
       "14              NaN                   NaN  \n",
       "15              NaN                   NaN  \n",
       "16              NaN                   NaN  \n",
       "17              NaN                   NaN  \n",
       "18              NaN                   NaN  \n",
       "19              NaN                   NaN  \n",
       "20              NaN                   NaN  \n",
       "21              NaN                   NaN  \n",
       "22              NaN                   NaN  \n",
       "23              NaN                   NaN  \n",
       "24              NaN                   NaN  \n",
       "25              NaN                   NaN  \n",
       "26              NaN                   NaN  \n",
       "27              NaN                   NaN  \n",
       "28              NaN                   NaN  \n",
       "29              NaN                   NaN  \n",
       "30              NaN                   NaN  \n",
       "31              NaN                   NaN  \n",
       "32              NaN                   NaN  \n",
       "33              NaN                   NaN  \n",
       "34              NaN                   NaN  \n",
       "35              NaN                   NaN  \n",
       "36              NaN                   NaN  \n",
       "37              NaN                   NaN  \n",
       "38              NaN                   NaN  \n",
       "39              NaN                   NaN  \n",
       "40              NaN                   NaN  \n",
       "41              NaN                   NaN  \n",
       "42              NaN                   NaN  \n",
       "43              NaN                   NaN  \n",
       "44              NaN                   NaN  \n",
       "45              NaN                   NaN  \n",
       "46              NaN                   NaN  \n",
       "47              NaN                   NaN  \n",
       "48              NaN                   NaN  \n",
       "49              NaN                   NaN  \n",
       "50              NaN                   NaN  \n",
       "51              NaN                   NaN  \n",
       "52              NaN                   NaN  \n",
       "53              NaN                   NaN  \n",
       "54              NaN                   NaN  \n",
       "55              NaN                   NaN  \n",
       "56              NaN                   NaN  \n",
       "57              NaN                   NaN  \n",
       "58              NaN                   NaN  \n",
       "59              NaN                   NaN  \n",
       "60              NaN                   NaN  \n",
       "61              NaN                   NaN  \n",
       "62              NaN                   NaN  \n",
       "63              NaN                   NaN  \n",
       "64              NaN                   NaN  \n",
       "65              NaN                   NaN  \n",
       "66              NaN                   NaN  \n",
       "\n",
       "[67 rows x 96 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final_tipping_point_1980_2070.head(67)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#all_Policies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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": 18,
   "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": 19,
   "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": 20,
   "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": 21,
   "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[0:43, 'Policy45_2050'].to_list()\n",
    "y1_45 = df_final_tipping_point_1980_2070.loc[0:43, 'freq45_2050_policy'].to_list()\n",
    "x2_45 = df_final_tipping_point_1980_2070.loc[0:39, 'Policy45_2070'].to_list()\n",
    "y2_45 = df_final_tipping_point_1980_2070.loc[0:39, 'freq45_2070_policy'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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[0:43, 'Policy85_2050'].to_list()\n",
    "y1_85 = df_final_tipping_point_1980_2070.loc[0:43, 'freq85_2050_policy'].to_list()\n",
    "x2_85 = df_final_tipping_point_1980_2070.loc[0:2, 'Policy85_2070'].to_list()\n",
    "y2_85 = df_final_tipping_point_1980_2070.loc[0:2, 'freq85_2070_policy'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[39.0, 28.0, 6.0]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1.0, 1.0, 1.0]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "#y.reverse()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([38.75,  5.75,  3.75, 27.75, 19.75, 33.75, 18.75, 43.75,  8.75,\n",
       "       36.75, 13.75, 23.75, 32.75, 12.75, 30.75, 24.75,  0.75,  4.75,\n",
       "       34.75,  9.75, 26.75, -0.25, 42.75, 40.75,  2.75,  6.75, 10.75,\n",
       "       25.75, 11.75, 31.75, 22.75, 37.75, 17.75, 35.75, 20.75, 29.75,\n",
       "       14.75, 15.75, 39.75,  1.75, 41.75, 28.75, 16.75, 21.75,  7.75])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_26_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "title_Figs = 'case1, Sattel-Hochstuckli (800-1600m)'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig35, ax1 = plt.subplots(figsize=(20,7.5))\n",
    "\n",
    "width = 0.25\n",
    "\n",
    "ax1.bar(x_26_arr, y_26, width = width, color = 'Blue', label = \"2020\")\n",
    "ax1.bar(x1_26_arr, y1_26, width = width, color = 'Green', label = \"2050\")\n",
    "ax1.bar(x2_26_arr, y2_26, width = width, color = 'Red', label = \"2070\")\n",
    "\n",
    "\n",
    "#X-Axis\n",
    "xticks = np.arange(0, 45, 1)\n",
    "ax1.set_xticks(xticks)\n",
    "#ax1.set_xticks(xticks, all_Policies)\n",
    "\n",
    "xlabels = all_Policies\n",
    "#ax1.set_xticklabels(xlabels)\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10, ha=\"right\", rotation_mode=\"anchor\")\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10)\n",
    "plt.xticks(xticks, xlabels, fontsize=16)\n",
    "plt.setp(ax1.get_xticklabels(), rotation=90, size = 10)\n",
    "\n",
    "\n",
    "\n",
    "#Y-Axis\n",
    "yticks = np.arange(0, 70, 3)\n",
    "#ax1.set_yticks(yticks)\n",
    "#plt.setp(ax1.get_yticklabels(), rotation=0, size = 15, ha=\"right\", rotation_mode=\"anchor\")\n",
    "\n",
    "ax1.set_yticks(yticks)\n",
    "ax1.set_title(title_Figs + ', RCP2.6', size = 30)\n",
    "ax1.set_xlabel('45 Adaptation Options', size = 20)\n",
    "ax1.set_ylabel('Frequency', size = 20)\n",
    "\n",
    "ax1.axhline(y=67, color='green', alpha=0.8)\n",
    "ax1.axhline(y=50, color='green', alpha=0.8)\n",
    "ax1.axhline(y=33, color='orange', alpha=0.8)\n",
    "ax1.axhline(y=16, color='red', alpha=0.8)\n",
    "\n",
    "\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": 30,
   "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": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[29.0,\n",
       " 21.0,\n",
       " 20.0,\n",
       " 18.0,\n",
       " 17.0,\n",
       " 15.0,\n",
       " 13.0,\n",
       " 13.0,\n",
       " 12.0,\n",
       " 12.0,\n",
       " 11.0,\n",
       " 11.0,\n",
       " 11.0,\n",
       " 11.0,\n",
       " 11.0,\n",
       " 10.0,\n",
       " 10.0,\n",
       " 10.0,\n",
       " 10.0,\n",
       " 9.0,\n",
       " 9.0,\n",
       " 9.0,\n",
       " 8.0,\n",
       " 8.0,\n",
       " 8.0,\n",
       " 7.0,\n",
       " 7.0,\n",
       " 7.0,\n",
       " 6.0,\n",
       " 6.0,\n",
       " 6.0,\n",
       " 4.0,\n",
       " 4.0,\n",
       " 2.0,\n",
       " 2.0,\n",
       " 2.0,\n",
       " 2.0,\n",
       " 2.0,\n",
       " 1.0,\n",
       " 1.0]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_45"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZYu9ZW29Vj3UGOhdn2dZHatua6mP9p7F+y5JvA/9M6a/lpZROq/9SLbsEeGCPOEfWYqzoY7vfrq3/tx3L3jLX/upYv/6+8Jz57L9ZtjHQNYPyA8r0a74I/AOzt/b7HbBPj1iPqK23uo9tP7+2/uEdy5YN8r9QKlun1/96l+UrOv6PU+nS2ThwWG2d6ZZSG7TWpFRCX1otvxHYaY78Nq+VzzOaOPYd26ufyz2PBXAryg8AXcsxpS+zm2rL79BAWc051qt3dP7LHutE7Vz9IbXPdzTbUmm26UbKYCw9P2s6OTkNN9mnkrRxOoiZvi3elZmHZmZ2WzEzf5+Zq7vM/2FmXtZrA1k6KX0dM/2idBtW+K61x0fmLL/SZ+aPM/N39XkRsRMznWx+IzNfml06R83SQupFlBZQMNNhZBt8Gvjf2vNHVvN+FxE/i4hPR8RrogwZPafMPDEzb5xl+UXM7NNtgCcPmfd8/DPlgzXAMzLzh91WquZPH8udmelLZRTu2KOPnw0m4GOzBYrSL9Tzq6dXU/7nP3Sul5lfA/61erqEsp86zfvc7vDNzHxzZ4wsLf3q239sl9dOn99/YKZT5G553JRzdEA/Bocw09LrVZn5mV4rZuavM/PUfoJWv9x/nzIcdwKvycyDZn/VyNRbk/xkrpWz9MmyL6USGkoFxrspLUU/RLnm3gj8E2U0t16tgLarPe5nqO/6+8B2HcsWMta43K72+L6Ufbk5pbL5lZQfFV7PTOvOWwMnRMQDusTarvZ4kvft9ZSK5993WXYI5VyB0vL5/zLznZ0rZWmx9sHq6aaU0fN6qj4rTH8muE/VEmssImKTiFhatdD9HnDnatE1lNFc627HTJ+4f8nMX48oTQCi9KP3ttqsY3us+hLKNeEmYOVsn+8W0KWUSurp8+S5lPJzTrV8U+CNlJahkhaQlUrSRiZKx9nTnW3+kfKrTSOqDxHTX7YeWN3uVven2uP7MLhnUj5sA7x3jlxuoNxOBXC3uTrnnRTVl/enUW4Z66xouAvlWP4nsKaqZHpJ9NE5+hzqX/AfNM9YA6nKyPSId6dl5ndnW59yTKcryTpvo2qL6ds7oPRl07OylvIFc3rUnifXj3VD5/ahvRZkGWFw+naGe3dZZfr83obSyqEVqkq+6dtLfsHMKFzzjXt/yhfG5ZQy+7zc8PbScbpj9feGzOx3ZKhvUb7A/bjH8q0oFb8v6nL9n1bvJLlXx891f6493qbBWOOyXe3xXSgtPlZl5iMy8wOZ+dnMfA+lRdP07YSbAx/rso/bsm+/XP2gsYGq0mRtbVZnJUtdvXP5btekTtOVWJtTWhCOyiM7fni4iXIr77HMVO5eQ+nXal3Ha29Te3xVUwlGxH4d04qIOIxyW+n07W+XUiqSO197B0q/TwCHZuaZTeVZ8xxKn00vrJ0nn8jMVZl5P8qPZdMVWwdGxLN7h5I0KPtUkjY+92OmFci3BvjysIHql739KJUeu1P6etiG7hXW21TbrVeMnEz54LklcHBEbE/5Ut1tOOlu6sNT7xgR+82x/va1x/di/Q+qE6uqnHtbRBxK2d+PBR5GudWp7i7A/wBPi4j9MvNPdBERO1L6mXoM5YP39swMwd1p53n/A4O5D+WXd4Ar+zimUD58b8dMfx+jsI6Z0XfmsjfwilmWP7D2+GuzBcrMP0XEyZQ+RbamHL/pX2EX7NyuOWWO5b+m3K64fZdlJ1H6RtoE+FZEvB34Ys7dr8u4/W3t8fG5AP2vRcSjKLcLbk2pbHt6Zv7f7K8auenzrltrkQ1UlW+fp1yH11H6tDme0sfNtpRWCm8BdqV8wbxfRDxvjv3ZtVXdkBYy1ih1vn9+LzMP6VwpM2+KiJWU26p2plw7H0U577qZ5H07V0u/3zLzfjdbv1e/rT3udk3qVG9NtT3lejYJjgFem+v3FzZqx82x/HxKq9rOSi8oP37citIf1Fu6LF9wmTnbaJVk5oerz5jTrazeTNnPkhaAlUrSxqdeSXB+z7XmEBE7U/p76Ou2q8p6lUqZeWVEvIbSn8wSyi/ar42IyymtZb5LaereK8/ltcdHDZAH9PeBc6Jk5jWUX6Y/ARARt6ZUSDyK8ivdbatVH00ZSvuFnTEi4lmUvlO27XOzfQ05v4CW1x7vW039GuiYVs347znLKmdkZrdOUgH+lJlf7HM7282xSv0X8p/2XGv9daaHYN+JmUqlBTm3O8xVAXRd9XeLLsuOoLQm3JPyhfCjwGERcR7l/F4NnNDtVr8xW+j9eFtKh8qbUypsnpCZP1iAuAtt+hjOWRkZZbj5kykdy/+O0qfUL2urXAF8ISJOoIxk9hBKC8QfsGFLk2tqj7fsI8/6Op25LlisOSq0/1TdjtqEzv+pZ0u5zPxzRHycmc7QOyuVJnLfdvG7OZZfV3s827r19W4xR0xYv4Ppfv6nhdI5YMV2lPeiF1BaAT2DMjBFt1unx3XL5rWU1lRnUiqcPpeZ13WuVH3GeFL19GWZee3oUpzTf1JuHd0WuGdE3DkzfzHHayT1wUolaeNTryS4pudas4iIzYCvMtO8/ArKSEbnUn4p/AtllCkot0bsVT3e4LaszPxIRFxA6StmL8qvtDtSWuTsB7w3Ir5P6Xuk8xfKfitGutl87lUmW2ZeCZwInBgRbwH+H6XVGMCKiDikXikSEY+gjAo2/Uv4GZSR835Oqeyrf0Cc/pVyvrfSDWqUx3R/4OBZlj+fwSsrh1G/NaSfD+D187b+2nmf253m00onM6+PiMdSrgEvo1QYBuX2jvtSWnpdFxFHAAdlZtcRhMZgofdjMHMebc7kXnuuo3yx7qci+WXMjFT4no4Kpb/KzL9ExGsplUlQWux1VipdVXt8G+Y22+0/CxlrtpYaF7F+BfhC6szjjDnWr49yd5dZYk3Svu3U93VmIVoO1tTfb/7cc62Fd0W3HyUi4m2Uz1YPAY6IiEsz86sdq11G2V+bALeIiNtn5qULnWBmDjSiJfz1h67pW6Y/l5nHL2xW81Ndj05hpg/AezDTr5akebBSSdr41L+4bd1zrdkdwEyF0knAU3r9GtXPfeuZ+W3g2xFxG8qtFA+hdEj9AMoHp4cCJ0fEYzo6Fp7+wncjsOVsHVAvdtVtUc+n3HKylLLf9qKMbjRtFTMVSisz86PdYlWtEMal/iV+VbfbPhah+q/4/ez7+nlbf+1CnNsLquoM9z+A/6iGRX9YNe1DaRG0BaWvi4dFxEMyc1Rf7GbrU3Kh9+NlwBsot1psBXwlIp5QXfcmyZWUkez6afH3hNrjr8+x7qmU83pr4B4RsW1H67R667zlfWz7jrXHnS37FjLWuFzQ8Xyulnz15Z2V8gu5Py6h3Lp5S2DniFgyx3vuJO7bTreuPb5ybFlUMvOPEfEMSgvJbYCjIuLu9VuZM/OaiDib0qcWlM9HvTrLHrW/Y6bF9LqIeHOP9R5Rf1xb79TM7HX75kLpvOVR0gKwo25p43NJ7fGwfdDUR1V5zRzNm+84y7L1ZObvMvOLmfmGzHwwpXPfT1aLN6N8Oa2b7v9gCTO/mm+0qg+e9ZHSbj/9ICI2Z6YPqjW9KpQqfR+zBtT7tBim8/a+VR14xizTUU1uv+Y3tcd362P9+jr1X6gX4txuTJYRHD+amSsycxdKX1Nrq8W70uV2zQHVW9rN1Rpoh1mWLfh+rEaP+3tKBfh0xdIjFyL2Alpb/V0SEXO1Vrp97fGsLcyqkQPr63T233Zu7fHUbLGqfpymr09XdOlzZpBYm1D6AoTS8mO9Wx3nuDYsny32fFR91NT7BprrWNQrktargKo6/Z/+Er08ImYr97D+Pqvvy+kWQtP7aAnlnB0q1gSZrlS6nvWvw2NTdUz+nurp7SgV0p3qt152G1l3XOqtm/4ReGuPaa/aenvV5tcrq5syko7OpY2NlUrSxudsZj7g7xURw4x4c9va45/3WqnqEHq3IeIDf/1wdSDll36A+0dEvd+D+i/9Txl2O4vM9bXH9VY/t2GmdWrPY1bpNjx8p7/egjDLqE510x27zrXumcyUz8eMudXUqNRv63x0z7WAqvxPdyR9Det/EV6Ic3tkMvNbwMtrs/62Y5X6bS79lLGrao9v32ulapS82SocTmamvD5xoYYaz8zPsn7F0gkTVrFU/+J/jznWrVcS7TLbilWZXVqb1dkiZDUzFYKP6LjGd6pfm7p1dH4eM5WC96n6/uvlocxU2HxvgTq2Xyj1/22ufgvry7u1CKrfPtVzhMyIuCUzPzz8mfXfX7vF6vk+Ub0n1Jd33sI1dtUPLXeunp5bVX5OikOZqSB8dVWZWvchZkY9fUJEzFqBqiIitgAeXJs1qS3opNaxUknayFQjiX2qeroNMx18DqI+qlhnHw51B1FaGA2tal5fbzlQv23308xUorwmIm43n21Nooi47dxr/XXdW1FuG5xWH+a7r2NWVUS8po/N1Sus+qn4mV5/1nWr8jk9Isu2wL/0EbvtvsLMl+oDq8rYXl7KzBfhL1b7C1iwc3vU1tYed96SP2gZq5f3vWdZb3/Wr+RYT9VSZLolwJ2BF/Wx7b5k5ueYqVi6JaViac+Fij9P9RG4HjTHuvUKqP3nWPdpzLwPnNPZuW81AMEJ1dNbASu6BakqKuqVkJ/pXKeqGPjc9EuYfdTFV84Wa8w+VXvcs/xVFXD1liondlmt/r+9cpYfAVYwc235So8WyJ+tPX5JRPTqDPtxwF2rx2syc64fMsZhd2ZaNM41+txIVf3LTfc9thXwzx3LLwIOq55uCnwyIuoDPswqIp4VEU+be83BZOZRc7Twi6qvpvpt7YfUlr16oXPq8FpmWvZdmJk/a3h70kbDSiVp4/QuZr6wvSEiXtXrg2ZEbNfl1/T6LVZv7fZLfjXU8Ss753es8+yIeP5sv0xHxIOZuUXhFx19C1xMGeUMSkucr0bEXekhin0i4k2z5TVhjouIz0XEI2drEVQNlfsZZvoIuJjaL81VHyYXVk+nImKDll0RsTXlC9msLQ8q9Y559xhg/XvO0RIB4O3MtDo5KCL+abbWIhGxNCLeHBH36yOPiVNVYhxZPd0O+Gy3248iYh/g36unN7Lh7aAw/3N7wUTEe6vzdzYvrT3+UX1B1RH99K/1u/XRIu4kYLqS7WURscFtnNUv+h/onN/FqlqsQyPimb1WjIidIuKBfcQE/lqxdAAzFUtfmZCKpXpfJnP9P/VKjxdGxHO6rRQRuwLvr836eI94b2Wmddg7epzLb2GmsuuHzFREdXoPM5Xor63Om868VlBG2IJyrTyiR6yxqEaW+0719GFRBmJYT9Xi7jBmRis8LTO/07ke8GVmOvt+EGVQjM5Y96Ncd6G0EPy3Hnn9iDLqK5Tb0z/YeW2OiGWUEV2nreoWawLUK04nriUV5byZ7mPuH7u0VnodcFb1+G7ADyLiccwiIu4ZEZ+m/CA30S1Zp0XEqojIajqqxzpviohZb1WOiH+gXGemvW0B05Q2enbULW2EMvOXEfFCyheDTSgfXl4QEccCP6N8uL8DpcPsx1EqGupN4Y+ktCDZinLb2RlRhjW+hHJr3FMpLWYuowx33uuWnrtRRt/6QEScRPmicDGl1caOlKb4+zEzctLbu8Q4iHKL3T7A/YAfR8T/Uj6QX0b5hfy2lP4fHk25LeYbdPlAERF3YsN+XepfbvaOiM7r5ucz88wusVYwMxzwtzNzzy6592MT4OnVdElEfJvyBeG3lFZaO1Bu5XkqM8ML30jpiLuzE9UPAP9VPT42Io6h3OrzR8poXCso++f/Ac+bI69vMFNpeEREvI8yItL0F/GfdfwK+A3KvtwK+HJEHE0ZNXD6i+RpVSUCmXlJROxPGVFwc8qXxJUR8XnK7V5/ovyifjdKU/aHU8rI6jlynmRvoJThu1POnR9HxJGU1je3pPRj9ixmfgw6uPqCt54FOLcX0tMoX+p/SenM+WzKkNRbUCoun8HM7bG/Y+aX97pvUq4xdwE+ExFfYP3b3L493bl3Zl4aEZ+ktNy4NfDDiPgQZR9uDexJqcz5fRW3Z2umzDwlIt5Aqbi7RbXtV1LK5K8o+/aOlLL3KMq1qXN0yp4y89iISMqXu+mKpSdWtwSORXXenU65neqRERG9bgnKzBMj4ouU6/MmwMcj4rnA8ZS+aaZbTT6LcryhVBp+sEe8MyPi3ZTzYFvg+xFxOGWfbk0pS9O3bl1Dub71yu03EfE6SsXGEuD/IuL/Ucr5Ekq5f3q1+vS18i9z7J6+VNvt1fnvdhHx7x3zfpmZvSq0XgJ8j1KWD4mIR1F+OLicUvaeB/xNte4fKbeKbyAzs/qR5zuUsnZIRDyM0rnztZQKxBcx0xrwHZl5ziz/5qsp14/bUt4v71u9//+uyuclzPRbc0xmfmWWWOM03a/PtczS2XxErGamBfDzR9XXXmauizIy5sspx+b11FosZRnJ7HGUUQofTCkTJ0TEOZQWaxdSrpXbVsseQ/mssBgbFDwD+PeIOJNynp9Puc5vTmkx91TW/yz3CcrnHEkLJTOdnJw20gl4IrCO8kVztunILq99MuVXtF6vuYQyettRtXnLO2K8pY9tJ6Xy5A2z/B+bUypMbuwz3tE94uzZ5+vr04oesVbU1lk9j2N0+AD/V1Iqdh7bI1ZQPkzN9vovUoYVnzV3SiXOd2eJs6pj/TtQvgz1Wn/PLtt4MKX/p37+7z8Cf9MlRs/yN8SxWF6LtXaA19XLwlGzrHdbytDrs/2fNwAHNXxur55e3sd2eq5LGaq5n2O3FtijR/zdKJWIvV7beU25NaVfrl7rX0ppodBXuaB82f5jH//DW7q8du1cZYXyZeeGar1rgb1muSat6hGj7+PVx/F8VW17D59j3S0pLY/6OcbfBG43R7wA/pPSUqZXnN8Ce/f5v/wT5b2jV6yrgf3nu896HPN+p9VzxHsAc59HvwLu30duj2L2a/DNlErU6CPW7sx9bT4G2HyWGCtq666YY3t9lXHWv0YfNct62wF/qdb7eL/bnivPOeLs2e9xr73mjqx/fVjaZZ0tKC1Yr+6zzF0FvIkyYm5nrL+ut5DnRZftrKpta9UA63Y9ppQWW/387zdQWistafL/c3LaGKfFWFstqU+ZeTylz5DXUlqS/JbypvtnygfGY4Hn06Vfisz8X8ptT0dRWhfdQPml8nRKZdGumfnDztd1eBul4uBfKL+sra22fSPlV6bTKLfz3Dsz3zXL/3F9Zr4CuCfwTkr/COuqOH+i3Hp1QrWd+2XmgXPktRDqIxytGzZIZr6IMgLMs4H/Ab5PaYF1HTP76VzKB/gDgHtmZtem/Fk8h9Kny7coHy6vp1QAHg88KzP3yz6Gdc/Sf8+jgTdSKkJ+z0wrpW7r/5pSXg6t8r2G8iFvtm2cQukw+DmUvjx+Wb3uRkpnv2uAj1JaQ9wuZ/91feJl5m8pnQc/i/Lr8yWU43w1pQPi91POhXf0EWvoc3sB7UFpZfQByrl8RZXDdZT/7QTgH4B7ZeYZ3QJk5lmUljOHAz9h/b7Buq1/JWUfvpFSuXQN5cvYjynXm10zs+/+UzLzcMp+/FdKq5Hp68q1lKHfPwE8k3LdGVhmfoFyvG+gXDOOj4i9Zn9Vo46m/G8wx6hSmfnnzHwupZLuQ5QvdldRrgPXUDrB/TjweGCfLCORzRYvM/O1wMMo7yu/oHzxv4rSOvMtwH0y85v9/COZ+R+UMvjfVS7XUioIzwPeTamE/nQ/scaleg/9G0rroO8ycx5fQbmGvwq4R2ae3kesr1NG1DyYsj+vouzfX1D298My858yc9brchXrTErLj9dRrv9XUM7riymtHx+Xmc/OzOt7RxmrZzDTgu7Ds63IAr2XDyNL30nTI+DektJaqXOd6zLzzcCdKNfTYynl/ffMfEY4j3Ju/z2wU2a+rZ/3+RZ5LqVF1zGU69AllPe66ygtJ79BuX4sz8x/zQ1bcUuap+jjvUOSNKCI+BSlA9sEpnp9aZakSRIRh1Jubb0KuP0i+/IpERHfody6empm9uz3repn8ErKbfRnUVpU+sVJkjrYUkmSFljVofB0fy2ftUJJUou8k/Ir/3as35G61HpVf1IPr54ePMfqj2Rm5MKDrFCSpO7GXqlUjT5zbERcEBHnR8RDImLXiPhBRJwTEV/uNgqOJE2w+1E6Gr+RLiPtSNKkyszfUG5TBXh9RNxytvWllpkezv6bvW4Vr3lU9ffbmXligzlJUquNvVKJ8sHlxMy8J2V0pvMpfSe8MTP/htKvxD/P8npJmjTTQ1gfkZkXjjUTSRrcvwO/pnQeb2slLQpVK6V9KD/4vHKO1WHmvfyNjSUlSYvAWPtUqlog/Qi4c71JaURcDWybmRkRuwBfzcx7jytPSZIkSZIkrW/cLZXuTBlJ4WMRcWZEHB4RW1FGBnpStc4zgF3GlaAkSZIkSZI2NO6WSlPAKZRhTE+tRhy5mjIk5H8BtwG+BLwyM2/T5fUrgZUAW2211f3vec97jix3SZIkSZKkxe7000+/IjOXdls27kql2wGnZOby6vnDKX0pPaG2zt2BT2TmA2eLNTU1lWvWrGkyXUmSJEmSpI1KRJyemVPdlo319rfMvAy4OCLuUc3aB/hxROwIEBGbAG8G/mdMKUqSJEmSJKmLcfepBPAK4JiIOBvYDXg7cEBE/BS4ALgU+Nj40pMkSZIkSVKnJeNOIDPPAjqbUR1aTZIkSZIkSZpAk9BSSZIkSZIkSS1jpZIkSZIkSZIGZqWSJEmSJEmSBmalkiRJkiRJkgZmpZIkSZIkSZIGZqWSJEmSJEmSBrZk3AkslIv+cBErv7xy3GlIkiRJkiRtFGypJEmSJEmSpIFFZo47hwUxNTWVa9asGXcakiRJkiRJi0ZEnJ6ZU92Wjb2lUkRsFxHHRsQFEXF+RDykmv+KiPhJRJwXEe8ed56SJEmSJEmaMQl9Kh0KnJiZT4+IzYFbRsRewJOB+2XmdRGx43hTlCRJkiRJUt1YK5Ui4lbAI4AVAJl5PXB9RLwUeGdmXlfNv3xsSUqSJEmSJGkD47797c7AOuBjEXFmRBweEVsBdwceHhGnRsS3I+IB401TkiRJkiRJdeOuVFoC7AF8ODN3B64F3ljN3x54MPDPwGcjIjpfHBErI2JNRKxZt27dCNOWJEmSJEnauI27UukS4JLMPLV6fiylkukS4AtZnAbcDOzQ+eLMPCwzpzJzaunSpSNLWpIkSZIkaWM31kqlzLwMuDgi7lHN2gf4MfBFYG+AiLg7sDlwxThylCRJkiRJ0oYmYfS3VwDHVCO//QJ4PuU2uCMj4lzgeuDAzMwx5ihJkiRJkqSasVcqZeZZwFSXRc8ZcSqSJEmSJEnq07j7VJIkSZIkSVILWakkSZIkSZKkgVmpJEmSJEmSpIFZqSRJkiRJkqSBWakkSZIkSZKkgVmpJEmSJEmSpIEtGXcCkgYTseG8zNHnIUmSJGlD3T6vg5/ZtTjZUkmSJEmSJEkDs1JJkiRJkiRJAxv77W8RsR1wOHBfIIEXAI8HngzcDFwOrMjMS8eVoyRJkiRJktY3CS2VDgVOzMx7ArsC5wPvycz7ZeZuwPHAW8aYnyRJkiRJkjqMtaVSRNwKeASwAiAzrweu71htK0oLJkmSJEmSJE2Icd/+dmdgHfCxiNgVOB14VWZeGxFvA54H/AHYq9uLI2IlsBJg2bJlo8lYkiRJGpKjQkmSFpNx3/62BNgD+HBm7g5cC7wRIDPflJm7AMcAL+/24sw8LDOnMnNq6dKlo8pZkiRJkiRpozfuSqVLgEsy89Tq+bGUSqa6TwJPG2lWkiRJkiRJmtVYK5Uy8zLg4oi4RzVrH+DHEXG32mpPAi4YeXKSJEmSJEnqadx9KgG8AjgmIjYHfgE8Hzi8qmi6GbgI+Icx5idJkiRJkqQOY69UysyzgKmO2d7uJkmSJEmSNMHG3aeSJEmSJEmSWshKJUmSJEmSJA3MSiVJkiRJkiQNzEolSZIkSZIkDcxKJUmSJEmSJA3MSiVJkiRJkiQNbMm4E5DGJaL7/MzR5iFJkiRJUhvZUkmSJEmSJEkDG3ulUkRsFxHHRsQFEXF+RDwkIm4dESdFxIXV3+3HnackSZIkSZJmjL1SCTgUODEz7wnsCpwPvBH4RmbeDfhG9VySJEmSJEkTYqyVShFxK+ARwBEAmXl9Zl4FPBk4ulrtaGC/ceQnSZIkSZKk7sbdUunOwDrgYxFxZkQcHhFbAbfNzN8AVH93HGeSkiRJkiRJWt+4K5WWAHsAH87M3YFrGeBWt4hYGRFrImLNunXrmspRkiSNSUT3SZIWK6950vj5+aN/465UugS4JDNPrZ4fS6lk+m1E7ARQ/b2824sz87DMnMrMqaVLl44kYUmSJEmSJI25UikzLwMujoh7VLP2AX4MfAk4sJp3IPC/Y0hPkiRJkiRJPSwZdwLAK4BjImJz4BfA8ymVXZ+NiBcCvwKeMcb8JEmSJEmS1GHslUqZeRYw1WXRPiNORZIkSZIkSX0ad59KkiRJkiRJaiErlSRJkiRJkjQwK5UkSZIkSZI0MCuVJEmSJEmSNDArlSRJkiRJkjQwK5UkSZIkSZI0MCuVJEmSJEmSNDArlSRJkiRJkjQwK5UkSZIkSZI0sCXjTiAi1gJ/BG4CbszMqYj4DHCPapXtgKsyc7exJChJkiRJkqQNjL1SqbJXZl4x/SQznzX9OCLeC/xhLFlJkiRJkiSpq0mpVOoqIgJ4JrD3uHORJEmSJEnSjEnoUymBr0XE6RGxsmPZw4HfZuaFY8hLkiRJkiRJPUxCS6WHZealEbEjcFJEXJCZ36mWHQB8qtcLq0qolQDLli1rPlNJ0oKL6D4/c7R5SBu7buei56EkSZrN2FsqZeal1d/LgeOABwJExBLgqcBnZnntYZk5lZlTS5cuHUW6kiRJkiRJYsyVShGxVURsM/0YeAxwbrX4UcAFmXnJuPKTJEmSJElSd+O+/e22wHGlP26WAJ/MzBOrZfszy61vkiRJkiRJGp+xVipl5i+AXXssWzHabCRJkiRJktSvsfepJEmSJEmSpPaxUkmSJEmSJEkDs1JJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkDs1JJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkDs1JJkiRJkiRJAxt7pVJErI2IcyLirIhY07HsnyIiI2KHceUnSZIkSZKkDS0ZdwKVvTLzivqMiNgFeDTwq/GkJEmSJEmSpF7G3lJpFu8DXg/kuBORJEmSJEnS+iahUimBr0XE6RGxEiAingT8OjN/NNsLI2JlRKyJiDXr1q0bRa6SJEmSJEliMm5/e1hmXhoROwInRcQFwJuAx8z1wsw8DDgMYGpqyhZNkiRJkiRJIzL2lkqZeWn193LgOOCRwJ2AH0XEWmBn4IyIuN3YkpQkSZIkSdJ6xlqpFBFbRcQ2048prZN+mJk7ZubyzFwOXALskZmXjTFVSZIkSZIk1Yz79rfbAsdFxHQun8zME8ebkiRJkiRJkuYy1kqlzPwFsOsc6ywfTTaSJEmSJEnq19j7VJIkSZIkSVL7WKkkSZIkSZKkgVmpJEmSJEmSpIFZqSRJkiRJkqSBWakkSZIkSZKkgVmpJEmSJEmSpIEtGXcCkjQfERvOyxx9HpIkSZK0sbGlkiRJkiRJkgZmpZIkSZIkSZIGNvZKpYhYGxHnRMRZEbGmmveMiDgvIm6OiKlx5yhJkiRJkqT1TUqfSntl5hW15+cCTwU+MqZ8JEmSJEmSNItJqVRaT2aeDxDdeuCVJEmSJEnS2I399jcgga9FxOkRsXKQF0bEyohYExFr1q1b11B6kiRpNhHdJ0mSJC1uk1Cp9LDM3AN4HPCyiHhEvy/MzMMycyozp5YuXdpchpIkSZIkSVrP2CuVMvPS6u/lwHHAA8ebkSRJkiRJkuYy1kqliNgqIraZfgw8htJJtyRJkiRJkibYuFsq3RY4OSJ+BJwGfCUzT4yIp0TEJcBDgK9ExFfHmqUkSZIkSZLWM9bR3zLzF8CuXeYfR7kVrm8X/eEiVn55oH6+tbH7u+6zV355tGkMrEveE59zk9wf7dfWc1EzmjyGlo/R8Xo6GpZpzcVzsf08z9vPY9i3sVYqSYvVRz/aff6LXzzaPCRJkiRJakpk5rhzWBBTU1O5Zs2acaehFuk13PVCnBKjjr1ITuOhuD/ar8nzRaPR1uup1uf1dDQs05qL52L7eZ63n8dwfRFxemZOdVs27j6VJEmSJEmS1EJWKkmSJEmSJGlgVipJkiRJkiRpYFYqSZIkSZIkaWCO/iZJkiRJmkh2XC5NNlsqSZIkSZIkaWATUakUEZtGxJkRcXz1fLeIOCUizoqINRHxwHHnKEmSJEmSpBkTUakEvAo4v/b83cAhmbkb8JbquSRJkiRJkibE2CuVImJn4AnA4bXZCdyqerwtcOmo85IkSZIkSVJvk9BR9/uB1wPb1Oa9GvhqRPwHpeLroaNPS5IkSZIkSb2MtaVSRDwRuDwzT+9Y9FLgNZm5C/Aa4Iger19Z9bm0Zt26dQ1nK0mSpEFFdJ8kSVL7RY5xPMaIeAfwXOBG4BaUW96+APwdsF1mZkQE8IfMvFXvSDA1NZVr1qxpOmUtIr0+0C7EKTHq2BvzsKruj/Zr8nzRaLT1eqr1NXU99Riuz/2hufjZZn1t3B+e5+3nMVxfRJyemVPdlo21pVJmHpSZO2fmcmB/4JuZ+RxKH0qPrFbbG7hwTClKkiRJkiSpi0noU6mbFwOHRsQS4C/AyjHnI0mSJEmSpJqJqVTKzNXA6urxycD9x5mPJEmSJEmSehvr7W+SJEmSJElqp4lpqSRJkiRNijZ2DixJ0qjZUkmSJEmSJEkDs1JJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkDs1JJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkDm4hKpYjYNCLOjIjjq+erIuLXEXFWNT1+3DlKkiRJkiRpxpJxJ1B5FXA+cKvavPdl5n+MKR9JkiRJkiTNYuwtlSJiZ+AJwOHjzkWSJEmSJEn9GXulEvB+4PXAzR3zXx4RZ0fEkRGx/ejTkiRJkiRJUi9jrVSKiCcCl2fm6R2LPgzcBdgN+A3w3h6vXxkRayJizbp16xrNVZIkSZIkSTPG3VLpYcCTImIt8Glg74j4RGb+NjNvysybgY8CD+z24sw8LDOnMnNq6dKlo8takiRJkiRpIzfWSqXMPCgzd87M5cD+wDcz8zkRsVNttacA544lQUmSJEmSJHU1KaO/dXp3ROwGJLAWeMlYs5EkSZIkSdJ6JqZSKTNXA6urx88dazKSJEmSJEma1bj7VJIkSZIkSVILTUxLJUmSJElqg4ju8zNHm4ckjZstlSRJkiRJkjQwK5UkSZIkSZI0MCuVJEmSJEmSNDArlSRJkiRJkjQwK5UkSZIkSZI0MCuVJEmSJEmSNLCBK5UiYrMmEpEkSZIkSVJ7DNNS6dcR8a6IuOtCJRERm0bEmRFxfPX8PRFxQUScHRHHRcR2C7UtSZIkSZIkzd8wlUqbAP8M/CQiToqIp0XEknnm8Srg/Nrzk4D7Zub9gJ8CB80zviRJkiRJkhbQMJVKtweeA3wX2Af4LHBxRLwtIu40aLCI2Bl4AnD49LzM/Fpm3lg9PQXYeYg8JUmSJEmS1JCBK5Uy8/rM/GRm7gncE3g/sITSmujCiDghIp4cEf3Gfj/weuDmHstfAPxftwURsTIi1kTEmnXr1g3wX0iSJEmSJGk+5jX6W2b+NDNfB9yBmdZL+wJfAH4VEasi4va9Xh8RTwQuz8zTeyx/E3AjcEyP7R+WmVOZObV06dL5/CuSJEmSJEkawLwqlaZl5vXAV4DjgEuBoNwm9xbglxHx/ojYostLHwY8KSLWAp8G9o6ITwBExIHAE4FnZ2YuRJ6SJEmSJElaGPOuVIqIB0fExyiVSe8DtgL+C9iNcuvaT4BXUG5zW09mHpSZO2fmcmB/4JuZ+ZyI2Bd4A/CkzPzTfHOUJEmSJEnSwhpq1LaI2AZ4LvAS4L6UlklnAB8GPpmZf65WPTsiPg6cCDwdeGmfm/ggsAVwUkQAnJKZ/zBMrpIkSZIkSVp4A1cqRcThwLOAWwLXAR8HPpSZp3VbPzNviojVwN6zxc3M1cDq6vFdB81LkiRJkiRJozNMS6UXAD8H/gf4WGZe2cdrVgP/NsS2JEmSJEmSNIGGqVR6XGZ+dZAXZOb3gO8NsS1JkiRJkiRNoIE76h60QkmSJEmSJEmLz8CVShGxT0QcGRG377H89tXyPeebnCRJkiRJkibTMLe/vQK4Z2Ze2m1hZl4aEQ8BtqXqeFuSJEmSJEmLy8AtlYA9gO/Psc7JwNQQsSVJkiRJktQCw7RU2hHo2kqp5rfVepIkSZKkMYvoPj9ztHlIWlyGaan0B2CXOdbZBbh2iNiSJEmSJElqgWEqlU4D9ouI23VbWHXgvV+13qwi4hYRcVpE/CgizouIQ6r5u0bEDyLinIj4ckTcaog8JUmSJEmS1JBhKpU+AGwDfDcinhQRWwBExBYR8WTgO8DWwH/1Ees6YO/M3BXYDdg3Ih4MHA68MTP/BjgO+Och8pQkSZIkSVJDBq5UysyvAW8F7kKp8Lk2ItZRbnf7AnBn4K2ZeWIfsTIzr6meblZNCdyDUjkFcBLwtEHzlCRJkiRJUnOGaalEZh4M7AucAFwJbFv9/Qrw2Mxc1W+siNg0Is4CLgdOysxTgXOBJ1WrPIO5+3CSJEmSJEnSCA0z+hvw1xZLX5tvApl5E7BbRGwHHBcR9wVeAPxXRLwF+BJwfbfXRsRKYCXAsmXL5puKJEmSJEmS+jRUS6UmZOZVwGpg38y8IDMfk5n3Bz4F/LzHaw7LzKnMnFq6dOnokpUkSZIkSdrIDd1SCSAitgK2AzbttjwzfzXH65cCN2TmVRGxJfAo4F0RsWNmXh4RmwBvBv5nPnlKkiRJkiRpYQ1VqRQRzwXeANxrltWyj/g7AUdHxKaUVlOfzczjI+JVEfGyap0vAB8bJk9JkiRJkiQ1Y+BKpYhYARwJ3AR8F7gYuHGYjWfm2cDuXeYfChw6TExJkiRJkiQ1b5iWSv8E/B7428w8f4HzkSRJkiRJUgsM01H3XYFjrVCSpI1HRPdJkiRJ0sZrmEqlK4G/LHQikiRJkiRJao9hKpWOB/aM8DdqSZIkSZKkjdUwlUoHAVsA/xMRWy9wPpIkSZIkSWqBYTrq/hzwJ+BFwN9HxIXAVV3Wy8zcZx65SZIkSZIkaUINU6m0Z+3xVsBuPdbLIWJLkiRJkiSpBQauVMrMYW6ZkyRJkiRJ0iJiBZEkSZIkSZIGNtZKpYi4RUScFhE/iojzIuKQ2rJXRMRPqvnvHmeekiRJkiRJWt8wfSoREZsALwOeDdwL2Cozl1TLdgdeDLw/M386R6jrgL0z85qI2Aw4OSL+D9gSeDJwv8y8LiJ2HCZPSZIkSZIkNWPglkoRsTlwEvB+4C7AH4GorfJL4AWUCqdZZXFN9XSzakrgpcA7M/O6ar3LB81TkiRJkiRJzRnm9rd/BvYCDgFuCxxeX5iZVwHfAR7bT7CI2DQizgIuB07KzFOBuwMPj4hTI+LbEfGAIfKUJEmSJElSQ4apVHo28L3M/LfMvJnSsqjTL4Fl/QTLzJsyczdgZ+CBEXFfym152wMPplRifTYiovO1EbEyItZExJp169YN8a9IkiRJkiRpGMNUKt0JOGWOda4Ebj1I0KqF02pgX+AS4AvV7XGnATcDO3R5zWGZOZWZU0uXLh1kc5IkSZIkSZqHYSqV/gxsN8c6y4Cr5goUEUsjYrvq8ZbAo4ALgC8Ce1fz7w5sDlwxRK6SJEmSJElqwDCjv50FPCYiNs/M6zsXRsS2lP6Uvt9HrJ2AoyNiU0oF12cz8/iqM/AjI+Jc4HrgwMzsdpudJEmSJEmSxmCYSqWPAscAx0TEC+sLqlZHH6P0h/Q/cwXKzLOB3bvMvx54zhC5SZIkSZIkaQQGrlTKzE9FxKOA5wNPAn4PEBFrgPsAWwD/nZknLGSikiRJkiRJmhzD9KlEZr4QeAHwY2ApEMAewM+AF2bmKxYsQ0laZCK6T5IkbWx8T5Q0H14/xm+Y298AyMyjgKOqDra3B/6QmdcuVGKSJEmSJEmaXENXKk3LzD9TRoSTJEmSJEnSRmKo298kSZIkSZK0cRu4pVJE/KLPVTMz7zJofEmSJEmSJE2+YW5/2wTILvO3BbarHl8K3DBkTpIkSZIkSZpwA1cqZebyXssi4q7AfwFbAY8dPi1JkiRJkjQKvUZNy27NSaSaBe1TKTN/BjwVuANw8ELGliRJkiRJ0uRY8I66M/MvwEnAAXOtGxG3iIjTIuJHEXFeRBxSzX9rRJwdEWdFxNci4vYLnackSZIkSZKG19TobzcCt+tjveuAvTNzV2A3YN+IeDDwnsy8X2buBhwPvKWhPCVJkiRJkjSEYTrqnlVE7AA8Bbh4rnUzM4FrqqebVVNm5tW11baie8fgkiRJkiRJGpOBK5UioleroSXALsCTKSPBHdRnvE2B04G7Av+dmadW898GPA/4A7DXnIGuvQhOXdnPJiUAPvLCHgtObWHsBYjbVm3cH02Wj6a09XzRaFg+FoemrqdtPYbuj9Fo6/5o42e9RbWv25gzTHTebcwZPF8mwTAtlVbNsfxq4N8z8939BMvMm4DdImI74LiIuG9mnpuZbwLeFBEHAS+nS8ffEbESWAlwn+Vb9/8fSJIkSVrUDvto9/krXzzaPKRph52xYaFcuYcFUu0WOeAYgRHxyB6LbgZ+D1yQmTcOlUzEwcC1mfkftXl3BL6Smfed7bVTU1O5Zs2aYTarjVSTw2aOOvbGPNRnG/dHG4dsbev5otGwfCwOTV1P23oM3R+j0dbrRxs/67W17C2mz3qs2nBBHjwZ/4zlY+64CxW7jSLi9Myc6rZs4JZKmfnt+adURMRS4IbMvCoitgQeBbwrIu6WmRdWqz0JuGChtilJkiRJkqT5W/COuge0E3B01a/SJsBnM/P4iPh8RNyD0vrpIuAfxpmkJEmSJEmS1jdMR93Lht1YZv6q4/nZwO5d1nvasNuQJEmSJElS84ZpqbQWGOZOwhxye9rItfE+arWf91FLkiRJ0uyGqeT5f8By4BHAH4CzgMuA2wG7AdsC36ZUPkmSJEmSJGkRGqZS6R3AD4D3AYdk5tXTCyLiVsAhwPOAl2TmTxckS0mSJEmSJE2UTYZ4zTuBczLzdfUKJYDMvDozXwOcV60nSZIkSZKkRWiYSqVHACfPsc7JwCOHiC1JkiRJkqQWGKZSaQtK/0mz2alaT5IkSZIkSYvQMJVKZwL7R8Tu3RZGxP2BZwFnzCexjVnEhpPUtG7lzrInSZIkSeplmI66DwFOBE6JiGOA7wC/BW5LueXt7ymVVYcsVJKSJEmSJEmaLANXKmXm1yNif+AjwArgwNriAH4PrMzMbyxIhpIkSZIkSZo4w7RUIjOPjYj/A54M7AFsC/yBcsvb/2bmtf3EiYhbUFo6bVHlcmxmHhwRtwY+AywH1gLPzMzfD5OrJEmSJEmSFt5QlUoAVcXRJ6tpWNcBe2fmNRGxGXByVVn1VOAbmfnOiHgj8EbgDfPYjiRJkiRJkhbQMB11rycito+IXYZ5bRbXVE83q6aktIA6upp/NLDffPOUJEmSJEnSwhmqUikito6I90bEZcAVwC9ryx4UESdExB59xto0Is4CLgdOysxTgdtm5m8Aqr879njtyohYExFr1q1bN8y/IkmSJEmSpCEMXKkUEdsCPwBeA1wKnE/poHvaOcDDgQP6iZeZN2XmbsDOwAMj4r795pKZh2XmVGZOLV26tN+XSZIkSZIkaZ6Gaan0JuA+wIrM3AP4XH1hZv4J+DawzyBBM/MqYDWwL/DbiNgJoPp7+RB5SpIkSZIkqSHDVCo9FfhqZv6/Wda5CLjDXIEiYmlEbFc93hJ4FHAB8CXgwGq1A4H/HSJPSZIkSZIkNWSY0d92Bj4/xzrXANv2EWsn4OiI2JRSwfXZzDw+In4AfDYiXgj8CnjGEHlKkiRJkiSpIcNUKv2RHh1n19yJ0oH3rDLzbGD3LvN/x4C3z0mSJEmSJGl0hrn97YfAEyNim24Lqz6QHg+cPJ/EJEmDi9hwkiRJ0oTq9uHND3BqkWEqlQ4FbgOcEBH3qi+onn8OuAXwX/NPT5IkSZIkSZNo4NvfMvOrEbEKWAWcC9wAEBFXANsDAbwhM7+/cGlKkiRJkiRpkgzTUonM/DdKn0dfAn4P3AQkcALwqMx8z4JlKEmSJEmSpIkzcEuliHgEcHVmfgv41sKnJEmSJEmSpEk3TEulbwErFzoRSZIkSZIktcfALZWAK4A/L3Qial6vQQQyR5uHJEmSJElqv2FaKq0GHrrAeUiSJEmSJKlFhqlUejNwj4h4a0RsNp+NR8QuEfGtiDg/Is6LiFdV8z8TEWdV09qIOGs+25EkSZIkSdLCGub2t4OAc4F/AV4YET8CLqOM/laXmfnCOWLdCLwuM8+IiG2A0yPipMx81vQKEfFe4A9D5ClJkiRJkqSGDFOptKL2+HbV1E0Cs1YqZeZvgN9Uj/8YEecDdwB+DBARATwT2HuIPCVJkiRJktSQYSqV7rTgWQARsRzYHTi1NvvhwG8z88ImtilJkiRJkqTh9FWpFBHPA87KzLMz86KFTiIitgY+D7w6M6+uLToA+NQsr1sJrARYtmzZQqcltUYc0n1ovzzYof0kSZIkSc3ot6Puo4D96jMi4sCI+OZ8E6g6+/48cExmfqE2fwnwVOAzvV6bmYdl5lRmTi1dunS+qUiSJEmSJKlPw4z+Nm058Mj5bLzqM+kI4PzM/M+OxY8CLsjMS+azDUmSJEmSJC28+VQqLYSHAc8F9o6Is6rp8dWy/Znl1jdJkiRJkiSNzzAddS+YzDwZ6NoZTGauGG02kiRJkiRJ6te4WypJkiRJkiSphQapVHIYKUmSJEmSJAGD3f62KiJWdc6MiJt6rJ+ZOdbb6yRJkiRJktSMQSp9uvZ9tIDrS5IkSZIkqSX6qlTKTPtekiRJkiRJ0l9ZWSRJkiRJkqSBWakkSZIkSZKkgdmRtiRJUktEjx4rcyMdo9f9IUnSeNlSSZIkSZIkSQMba6VSROwSEd+KiPMj4ryIeFXH8n+KiIyIHcaVoyRJkiRJkjY07tvfbgRel5lnRMQ2wOkRcVJm/jgidgEeDfxqvClKkiRJkiSp01hbKmXmbzLzjOrxH4HzgTtUi98HvB7wrnhJkiRJkqQJMzF9KkXEcmB34NSIeBLw68z80XizkiRJkiRJUjfjvv0NgIjYGvg88GrKLXFvAh7Tx+tWAisBli1b1mCGkiRJUnPikO5D2eXBNtqXmuDokdLCGHtLpYjYjFKhdExmfgG4C3An4EcRsRbYGTgjIm7X+drMPCwzpzJzaunSpaNMW5IkSZIkaaM21pZKERHAEcD5mfmfAJl5DrBjbZ21wFRmXjGWJCVJkiRJkrSBcbdUehjwXGDviDirmh4/5pwkSZIkSZI0h7G2VMrMk4Eed7P+dZ3lo8lGkiRJkiRJ/Rp3SyVJkiRJkiS1kJVKkiRJkiRJGpiVSpIkSZIkSRqYlUqSJEmSJEkamJVKkiRJkiRJGpiVSpIkSZIkSRqYlUqSJEmSJEkamJVKkiRJkiRJGpiVSpIkSZIkSRrYWCuVImKXiPhWRJwfEedFxKuq+c+ont8cEVPjzFGSJEmSJEkbWjLm7d8IvC4zz4iIbYDTI+Ik4FzgqcBHxpqdJEmSJEmSuhprpVJm/gb4TfX4jxFxPnCHzDwJICLGmZ4kSZIkSZJ6mJg+lSJiObA7cOoAr1kZEWsiYs26desay01qrYjukyRJkiRJ8zQRlUoRsTXweeDVmXl1v6/LzMMycyozp5YuXdpcgpIkSZIkSVrP2CuVImIzSoXSMZn5hXHnI0mSJEmSpLmNe/S3AI4Azs/M/xxnLpIkSZIkSerfuEd/exjwXOCciDirmvcvwBbAB4ClwFci4qzMfOx4UpQkSZIkSVKncY/+djLQq9fg40aZiyRJkiRJkvo37pZK0sSJQ7rXc+bBOeJMJEnSRq/bqK3pZ5KNjZ9PJU2qsXfULUmSJEmSpPaxUkmSJEmSJEkDs1JJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkDc/Q3SZI2Eg4iJUmSpIVkSyVJkiRJkiQNzEolSZIkSZIkDWyslUoRcWREXB4R59bm7RYRp0TEWRGxJiIeOM4cJUmSJEmStKFxt1Q6Cti3Y967gUMyczfgLdVzSZIkSZIkTZCxVipl5neAKztnA7eqHm8LXDrSpCRJkiRJkjSnSRz97dXAVyPiPyiVXg/ttWJErARWAixbtmwkyUmSJEnSROg2rCc4tKekkRn37W/dvBR4TWbuArwGOKLXipl5WGZOZebU0qVLR5agJEmSJEnSxm4SK5UOBL5QPf4cYEfdkiRJkiRJE2YSK5UuBR5ZPd4buHCMuUiSJEmSJKmLsfapFBGfAvYEdoiIS4CDgRcDh0bEEuAvVH0mSZIkSZIkaXKMtVIpMw/osej+I01EkiRJkiRJA5nE0d+kydRtdA1H1pCksYhDNrwm58FekyVpHByEThuLbp8/YOP+DDKJfSpJkiRJkiRpwlmpJEmSJEmSpIFZqSRJkiRJkqSBWakkSZIkSZKkgS2ejrovughWrhx3FgviI91mLsC/1jXuAsVu0sj3x5cGCNKjzDW5r7vGHiRn6Jq35aOPuG2N3cacFyi21reoyke3696vF3+h8fox5tgT/vmjjRZV+Wgy9oR/1ltU5+JGep639fPYxFyrN4LPIL3YUkmSJEmSJEkDi1wk4zxOTU3lmjVrxp3Ggmhq5Pq2DvU56v3Bqh7DRK7qNrN7Ik3u666xB8m5RyKWj7njtjV2G3NeqNha32IqH92uexvDcL5eP8Ybe9I/f7TRYiofjcae8M96i+lcHPl716oe6474PG/r57GJuVYv8s8gEXF6Zk51WzbWlkoRcWREXB4R59bmrYqIX0fEWdX0+HHmKEmSJEmSpA2N+/a3o4B9u8x/X2buVk0njDgnSZIkSZIkzWGslUqZ+R3gynHmIEmSJEmSpMGNu6VSLy+PiLOr2+O2H3cykiRJkiRJWt+ScSfQxYeBtwJZ/X0v8IJuK0bESqoBA5ctWzaq/NRFWzt2kyQ1Jw4ZcWeWE/JmNCFpSAuqqc5wJUntNnEtlTLzt5l5U2beDHwUeOAs6x6WmVOZObV06dLRJSlJkiRJkrSRm7hKpYjYqfb0KcC5vdaVJEmSJEnSeIz19reI+BSwJ7BDRFwCHAzsGRG7UW5/Wwu8ZFz5SZIkSZIkqbuxVipl5gFdZh8x8kQkSZIkSZI0kIm7/U2SJEmSJEmTbxJHf5MkqevIYY2NGiZJkiRpYLZUkiRJkiRJ0sCsVJIkSZIkSdLArFSSJEmSJEnSwKxUkiRJkiRJ0sCsVJIkSZIkSdLAHP1NktQeseGIcADkaEeFm5A0pMZ1G4URIFf1eIEngSSpg5+bFjdbKkmSJEmSJGlgY61UiogjI+LyiDi3Nu89EXFBRJwdEcdFxHZjTFGSJEmSJEldjLul0lHAvh3zTgLum5n3A34KHDTqpCRJkiRJkjS7sVYqZeZ3gCs75n0tM2+snp4C7DzyxCRJkiRJkjSrcbdUmssLgP8bdxKSJEmSJEla38SO/hYRbwJuBI6ZZZ2VwEqAZcuWjSgzaXjdRtHJgx32YKH1HK3Ifb3R6TbaiCONTIAJOTATksZGy2u1FiM/643Gxnz98L1rQm3EB2YiWypFxIHAE4FnZ/Y+Epl5WGZOZebU0qVLR5egJEmSJEnSRm7iWipFxL7AG4BHZuafxp2PJEmSJEmSNjTWlkoR8SngB8A9IuKSiHgh8EFgG+CkiDgrIv5nnDlKkiRJkiRpQ2NtqZSZB3SZfcTIE5EkSZIkSdJAJrJPJUmSJEmSJE22ietTSZIa021UBthoRmZQO1hMtdGb4BF0NuYRpzQPE35h71muV3WbORk5awJM8LVao2VLJUmSJEmSJA3MSiVJkiRJkiQNzEolSZIkSZIkDcxKJUmSJEmSJA3MjrqlcZvwzhu1viY7s+wWe9I7f7XTWkmaHIvpI4WdR2soi+kkmBA9z8UR56HJZUslSZIkSZIkDcxKJUmSJEmSJA1sYiuVIuJVEXFuRJwXEa8edz6SJEmSJEmaMZGVShFxX+DFwAOBXYEnRsTdxpuVJEmSJEmSpk1kpRJwL+CUzPxTZt4IfBt4yphzkiRJkiRJUmVSR387F3hbRNwG+DPweGBN50oRsRJYCbBs2bKRJjgxHOFAWtw8xyVp8nmtbpU2jrYqqX+OTjxaE9lSKTPPB94FnAScCPwIuLHLeodl5lRmTi1dunTEWUqSJEmSJG28JrJSCSAzj8jMPTLzEcCVwIXjzkmSJEmSJEnFpN7+RkTsmJmXR8Qy4KnAQ8adkyRJkiRJkoqJrVQCPl/1qXQD8LLM/P24E5IkSZIkSVIxsZVKmfnwcecgSZIkSZKk7ia2Uknr69mD/Yjz0MZnIUZPcFCcjVC3g+4BlyRNKj+sSIuf53kjJrajbkmSJEmSJE0uK5UkSZIkSZI0MCuVJEmSJEmSNDArlSRJkiRJkjQwK5UkSZIkSZI0MEd/Uyv1HJFsVY8X2KP/wnN0L0nShOr2OcHPCJIkLTxbKkmSJEmSJGlgE1upFBHbRcSxEXFBRJwfEQ8Zd06SJEmSJEkqJvn2t0OBEzPz6RGxOXDLcSckSZIkSZKkYiIrlSLiVsAjgBUAmXk9cP04c5IkSZIkSdKMSb397c7AOuBjEXFmRBweEVuNOylJkiRJkiQVE9lSiZLXHsArMvPUiDgUeCPwr/WVImIlsBJg2bJlI09ysRhoJDVHSJFax9ESJUmS+uN3I2kwk9pS6RLgksw8tXp+LKWSaT2ZeVhmTmXm1NKlS0eaoCRJkiRJ0sZsIiuVMvMy4OKIuEc1ax/gx2NMSZIkSZIkSTWTevsbwCuAY6qR334BPH/M+UiSJEmSJKkysZVKmXkWMDXuPCRJkiRJkrShibz9TZIkSZIkSZNtYlsqSZIkqT/dRivKgx2VSJIkNcuWSpIkSZIkSRqYlUqSJEmSJEkamJVKkiRJkiRJGpiVSpIkSZIkSRqYlUqSJEmSJEkamKO/SZK0Ees2ahhArurxgnREsdaI7sfWYyhJkhaKLZUkSZIkSZI0sImsVIqIW0TEaRHxo4g4LyIOGXdOkiRJkiRJmjGpt79dB+ydmddExGbAyRHxf5l5yrgTkyRJkiRJ0oRWKmVmAtdUTzerJjsAkCRJkiRJmhATefsbQERsGhFnAZcDJ2XmqWNOSZIkSZIkSZWJbKkEkJk3AbtFxHbAcRFx38w8t75ORKwEVgIsW7Zs9ElKkiRJkrrqNsJoHuwNKNJiMrEtlaZl5lXAamDfLssOy8ypzJxaunTpqFOTJEmSJEnaaE1kpVJELK1aKBERWwKPAi4Ya1KSJEmSJEn6q0m9/W0n4OiI2JRS8fXZzDx+zDlJkiRJkiSpMpGVSpl5NrD7uPOQJEmSJElSdxN5+5skSZIkSZIm20S2VNLi0XXEh1U9Vk5HgtjYOCKIxqFbuQOvTWreQGXPcqcW8HqqoUT3cmP52Pj4XWBxsKWSJEmSJEmSBmalkiRJkiRJkgZmpZIkSZIkSZIGZqWSJEmSJEmSBmalkiRJkiRJkgbm6G+SJosjgqjFeo6E5EgmreEx1GLkCEvS4rao3rv8LtA6tlSSJEmSJEnSwCa2Uiki9o2In0TEzyLijePOR5IkSZIkSTMmslIpIjYF/ht4HHBv4ICIuPd4s5IkSZIkSdK0iaxUAh4I/Cwzf5GZ1wOfBp485pwkSZIkSZJUmdRKpTsAF9eeX1LNkyRJkiRJ0gSInMBe1CPiGcBjM/NF1fPnAg/MzFd0rLcSWFk9vQfwk5EmOj47AFcYu/G4bY3dxpybjN3GnJuM3cacm4zdxpybjN3GnJuM3cacm4zdxpybjN3GnJuM3cacm4zdxpybjN3GnJuM3cacm4zdxpybjj1p7piZS7stWDLqTPp0CbBL7fnOwKWdK2XmYcBho0pqUkTEmsycMnazcdsau405Nxm7jTk3GbuNOTcZu405Nxm7jTk3GbuNOTcZu405Nxm7jTk3GbuNOTcZu405Nxm7jTk3GbuNOTcZu405Nx27TSb19rcfAneLiDtFxObA/sCXxpyTJEmSJEmSKhPZUikzb4yIlwNfBTYFjszM88acliRJkiRJkioTWakEkJknACeMO48J1eQtf22M3cacm4zdxpybjN3GnJuM3cacm4zdxpybjN3GnJuM3cacm4zdxpybjN3GnJuM3cacm4zdxpybjN3GnJuM3cacm4zdxpybjt0aE9lRtyRJkiRJkibbpPapJEmSJEmSpAlmpZIkSZIkSZIGZqWSJEmSJEmSBjaxHXWru4i4NZCZ+ftJjxsR2wL7AncAErgU+GpmXrWA22jN/mhzbMvHaOK2NXbbcm6q7DVZpj1f2h+7zcewydhtzLnJ2G265nVsozX7o82x25hzk7HbmHMTsdt6jrc17ybjtpUtlVogIpZFxKcjYh1wKvDDiLi8mrd80uJWsZ8HnAHsCdwS2ArYCzi9Wjaf2G3cH62LbfkYTdy2xm5jzlXsRspew2Xa86Xlsdt4DJuM3cacm4zdxmtek3m38Rg2GbuNOTcZu405Nxm7jed4W/Nucn+0XmY6TfgE/AB4FrBpbd6mwP7AKZMWt4rzE2C7LvO3B366Ee6P1sW2fLT/GLo/Rlf2Gi7Tni8tj93GY2j5WDT7o3Vlr43H0P3h/hjj/mjdOd7WvJvcH22fxp6AUx8HCS4cZtm44lav/ymwbZf52y5A7Dbuj9bFtny0/xi6P7q+vpGy13CZ9nxpeew2HkPLx6LZH60re208hu4P98cY90frzvG25t3k/mj7ZJ9K7XB6RHwIOBq4uJq3C3AgcOYExgV4G3BGRHytFnsZ8GjgrfOM3cb90cbYlo/RxG1r7DbmDM2VvSbLtOdL+2O38Rg2GbuNOTcZu43XPGjn/mhj7Dbm3GTsNubcZOw2nuPQzryb3B+tFlXNmiZYRGwOvBB4MqUjs6AU5C8DR2TmdZMUtxZ/e+CxtdiXUDpf+/0843bL+xLgS/PJu6m4bY3dZM5V/FGWj4k+XxZR+Zj4/VHFb6rsNRK3ydhtvH60OHarjmGTsdt6/Wjj+VLFb1XZW2Tlo6nPHxNdppuM3cacRxC7Vef4mPKe6HOx7axUUuPC3vE1C8uHxqWpstdkmfZ8aT+PocbFsictbm09x9uat2Y4+lsLRMR/RsTD2hK3ij3dO/7lLPxoAbeOiLdExAuj+JeIOD4i3lPVeA8b9ynVRY2IWBoRR0fEORHxmYjYeRJzbjLvhnNusny07nyp4u8VER+MiP+NiM9HxDsj4q6TGrvh60eT52IjZa/hMt1Y7Cp+E+Wjdde8Wvwm9kfr3hOr2E29v7TyetrUvm7jNa8Wv4nzpa3lo6nPH02Wj8auH1X8JspH63Ku4jZ1PW3r+0sbvws0di62nZVK7fBc4NCIuCgi3h0Ru094XIDPAMcBO2Xm3TLzrsBOwBeBT88z9icow05OAd+q4r4L+DNw1Dzivi0zr6wefxA4C3gc8H/Ax+YRF5rLGZrLu8mcmywfrTtfIuKdwPOAU4AbgF8APwc+FxHPmNDYTV4/mjwXmyp7TZbpxmI3WD7aeM1rcn+08T0RmtvXrbye0s7PH228frS1fDSVdys/n7bx/aXh8tHUcWzr+0sbvws0eS6227h7CneaewLOrP7eDfhX4DzgAuBg4O6TFreK2eRoAWdVfwP4dbdlQ8b9Se3x6QsVt8mcm8y74ZybLB9nVn/bdL6cU3u8BPhe9Xh74NxJjN3w/mjyXGzdiCANx26qfJxV/W3NNa/h/dG698Qm93WLr6eN7Os2XvOa3NctLh+N5N1w+WikTDdcPlqXc5PHscXvL238LtDYudj2yZZK7ZAAmXlhZr41M+8DPBO4BXDCBMaFqnf8iHhQRNy+mh4Upcf8M+cZe5OqyeUuwNbTTSQj4jbA5vOIuzoi/i0itqwe71fF3Qv4w/xSbixnaC7vJnNusny08Xy5ebo5LXB7YNNqW7+nvJFPYuwm90eT52JTZa/JMt1k7KbKRxuvedDc/mjjeyI0t6/bej1t4+ePNl4/2lo+msq7rZ9P2/j+0mT5aOo4tvX9pY3fBZo8F9tt3LVaTnNPVLWtbYlbxd4ceClwInAOcC6laeA/AlvMM/YBwG+r6WnA14GTgF8DK+cRdzNgFfCraroZ+CPwSWDZJObcZN4N59xk+WikXDd8vjwLuAj4WnUMn1DNXwp8chJjN7w/mjwXGyl7DZfpJmM3VT5ad81reH+07j2xyX3d4utpGz9/tPH60dby0UjeDZePJq8fbXx/abJ8NHU9bev7Sxu/CzR2LrZ9cvS3FoiIrTPzmj7Wu09mnjfuuKMQEZtSRi+8MSKWALtRmmX+prbO0HlHxLbAksz8XZdlQ8VtOucm8h5FzgutredL9cvYnYGfZeZVkx57VNePJs5Fra+pstfGa171usbOxaa0bV+3/Hraus8fTWrj+0uD17zG3xfb9vm0je8vo3gPaNN57neBnq9tzTEcBSuVFpGIOCMz95j0uBHxlsz8t4WKN8t2WrE/2h7b8jGauG2N3aacmyp7TZZpz5f2x277MWwydhtzbjJ2W655XbbTiv3R9thtzLnJ2G3MeaFjt/Ucb2veTcedZPaptLjM917fUcV90QLH66Ut+6PtsS0fo4nb1thtyrmpstdkmfZ8aX/sth/DJmO3MecmY7flmtepLfuj7bHbmHOTsduY80LHbus53ta8m447sZaMOwEtqKaanQ0cNyKu7rUI2HJ+6fRtYvbHIo9t+RhN3LbGnqicmyp7TZZpz5f2x17kx7DJ2G3MucnYE3PNG9DE7I9FHruNOTcZu405Dxy7red4W/Mec9yJZaWSmnIV8IDM/G3ngoi4ePTpaMJcheVD43EVzZS9puI2HVujcRUeQ43HVVj2pMXsKtp5jl9FO/NWF97+trhcP0Fx/x9wxx7LPjmPXAYxSftjMce2fIwmbltjT1rOTZW9Jsu050v7Yy/mY9hk7Dbm3GTsSbrmDWKS9sdijt3GnJuM3cach4nd1nO8rXmPM+7EsqPuloiIAB4I3IHSpO5S4LSc5wFsKu4A2x92ZIbW7Y82xrZ8jCZuW2O3MecBtt/IyB1Njgji+TL5sfvY9kQdwyZjtzHnJmO39ZrXxv3RxthtzLnJ2G3MuenYfWx7os7xAbY/UXmPe39MKiuVWiAiHgN8CLgQ+HU1e2fgrsA/ZubXJinugDkM3Dt+G/dHG2NbPkYTt62x25jzgDm0bkQQz5fJjt3n9ifmGDYZu405Nxl73OWuymFiyl4bj2GTsduYc5Ox25hz07H73P7EnOMD5jAxeU/C/phYmek04RNwPrC8y/w7AedPWtwBczhzUvJucn+0Mbblo/3H0P0x2rI3zrjDxrZ8jC52246h5WNx7I8BcjhzUvJu4zF0f7g/xhm7z+2f2bacJy3vSdgfkzrZp1I7LAEu6TL/18BmExh3EMM0lWvj/mhjbMvHaOK2NXYbcx5EU814m2we7Pky2bH7MUnHsMnYbcy5ydjjLncwWWWvjcewydhtzLnJ2G3MuenY/Zikc3wQk5T3JOyPieTob+1wJPDDiPg0MN0b/i7A/sARCxx3GfCsecZt2ij3x0LEbWvsJnNuUhv3R5Pn4mLZH20oe21k+Zg79qS/L3r9aH/sNpY7sHyMKnYbc24ydhtz7hV70s/ztn4ea2pft3V/NM4+lVoiIu4NPInSKVhQakm/lJk/nmfcewFPXui4A2z/lMx88BCvayTvJvdHU8ewydgtLh9N7Y8mj2Hryl4bcx5g+0OVvXHFnU9sr6cbxB7bdW/SjmEV2+vH+rFbd770uf2N6f22dbHbmHOTsduYcxXb95fBtz9ReY/78+mkslJJ64mIHTPz8gWKZe/46snyMbuIuE1m/m7ceSxGTZW9Jsu058v4LNS5OMpj6PWj/fw8Ji1+C3Wet/Uc931x8bBPpRaIiKmI+FZEfCIidomIkyLiqoj4YUTsPo+4t+6cgNMiYvvq8XxyfgylZ/xVwOOBJwCHABdWy+YT+4yIeHNE3Hk+cbrE3bf2eNuIODwizo6IT0bEbecZe9uIeGdEXBARv6um86t5201i7Ib3R5Pl41YR8Y6I+HhEHNCx7EOTFrd6/TsjYofq8f0j4hfAKRFxUUQ8cp6xt46If4uI8yLiDxGxLiJOiYgV84zbZPloJOcqdiNlr+Ey7fV0/diNvCdWsRs5Fxs+hk1eP9r4/tLk+21T50tbP4819X7b5Dne5PtLU5/XmyzTTe6PNpaPJvd1I+d5w+d4I9e8Knbr3hebPF9ab9w9hTvNPQGnAY8DDqDcv/n0av4+wA/mEfdm4Jcd0w3V31/MM+cmR0/4JfAfwK+qffMa4PYLsJ/PqD0+HPh34I5V/C/OM/ZXgTcAt6vNux3wRuCkSYzd8P5osnx8HngnsB/wper5Fp3/06TErV5/Tu3xt4AHVI/vDqyZZ+z/BVZQhjx9LfCvwN2Ao4G3T2j5aCTnJstew2Xa6+n6sRt5T6xiNHIuNnwMm7x+tPH9pcn326bOl7Z+Hmvq/bbJc7zJ95emPq83Waab3B9tLB9N7utGzvOGz/FGrnkjyLup9/LGzpe2T2NPwKmPg1QbShH4Va9lQ8T9J+BE4G9q8365QDlfCCzpMn9z4GfzjF3/MPpw4EPAZdVFY+UCxT2rY9lZw8atXv+TYZaNM3bD+6PJ8tGZ65uA7wG3meeHmEbiVrEumN4fwCkdy86ZZ+wfdTz/YfV3E+CCCS0fjeRcxWik7DVcpr2erv/6M2uPF+w9sXp9I+diw8ewyetHG99fmny/bep8aevnsc5jt1Dvt2fWHi/0Od7k+0sjeTdcppvcH20sH03u60bO84bP8UaueSPIu6n38sbOl7ZPjv7WDn+pmgFuC2RE7JeZX6ya7900bNDM/I8ovde/LyIuBg5m4Ya7HskIB5n5XeC7EfEK4NFV/MOGDLdjRLyW0unarSIisrpSMP9bRS+KiNcDR2fmbwGiNPFfwcz+mbTYTe6PJkdP2CIiNsnMmwEy820RcQnwHWDrCYwL8N/ACRHxTuDEiHg/8AXKr25nzTP2tRHxt5l5ckT8HXAlQGbeHBExj7hNlo+mcoZ2jt40ktFGWnQ9beQ9sdLUudjkMWzy+tHG95cm32//aiHPlzF8Hpv099smz/Em31+ayrvJMt3k/mhj+WhsXzd4nrfxMwI0+7mpqffFJs+XVrOj7haIiF2Bd1OaTb4GeClwIPBrSi3x9xZgG39H+QVheWbebr7xqphN9br/6czcfwFS7Ix7cMesD2Xmuoi4HfDuzHzePGJvT2k6+2Rgx2r2bynNgd+VmVdOWuwm90cVv6ny8W7ga5n59Y75+wIfyMy7TVLcWpw9Kef23YEllDfYLwIfy8wb5hH3fpTbS+4BnAO8IDN/GhFLgQMy87+GjNvk+dJIzrX4jmY1E7eN19NG3xMbPBebHFFoT5rJuXXvLw2/3zZyvnRso4nPY01dP5p6v23sHG/y/aWpvBsu003ujzaWj8b2dcd2FvQ8b9tnhFr8Jj837ckCvy82/fm0zaxU0l9FxJbAXTLz3Ibi2+u+pI1GLODoTZI2Hk1/HpM0fp7nG/JzU3s5+ltLRMQ9I2KfiNi6Y/6+vV4zaNzM/PP0hW0B4jY2Gk1n3h3zF2x/LGTcKsYDI+IB1eN7R8RrI+Lx843bZOwG93Njo0lU8dtYPloXu6U5NzWaVZOjNzU2Gk0V3/LRcOy2HsMqRqveX6oYTb7ftu3zWGMjl1YxvH6MIHYt7lYLGbcjdhv3R5M5N7qvF+o8b+v7S5Ofm6r4rSt7rdatoyWnyZqAVwI/oTTZWws8ubZsPh3dNRK3en2To9G0cX8cDJwCrAHeAXwTeAvlvvI3TWLshvfHL2luNIk2lo/WxW5jztXrmxrNqsnRm5ocjcbyMZr90bpjWL2+je8vTb7ftvF8aXLk0jbuj9bFbmPO7o+R7o+2vr80+bmpdWWv7dPYE3Dq4yCVeza3rh4vp3xQelX1/MxJi1u9vsnRaNq4P84BNgVuCVwN3KqavyVw9iTGbnh/NDmaRFvLR6titzHn6vVNjWbV5OhNTY5GY/kYzf5o3TGsxW7b+0vT77dtO1/O6ni+kCOXtnF/tC52G3N2f4x0f7T1/aXJz02tK3ttnxz9rR02zcxrADJzbZSOx46NiDtSOjWbtLjQ7Gg0bdwfN2bmTcCfIuLnmXl1tZ0/R8TNExq7yf3xV7nwo0m0sXy0MXYbc4aGRnbJZkdvaiTniuVjNLHbeAyhne8vTb7ftvF8aXLk0jbujzbGbmPOTcZuY85Nxm7l+0vDn5vaWPZazT6V2uGyiNht+klVmJ8I7AD8zQTGJTM/ALwdeAmlV/99KM0wfw28YD6xaeH+AK6PiFtWj+8/PTMitqU0/5zE2E3uj592zsjMmzLzxMx8/jxjt7F8tDF2G3OGUml5G+DbEXFlRFwJrAZuDTxzPoEz85LMfAalxd1JlJYSC6GxnLF8jCp2G48htPP9pcn32zaeL18G9q7PyMyjgdcB188zdhv3RxtjtzHnJmO3MecmY7f1/aXJz01tLHvtlmNuKuU09wTsTO0+2Y5lD6s93n4S4ro/ur5+ix7zd2D9Zp8TE9vyMdLy0brYbcx5lBPlVpv7jjsPy8fkxG7bMaxe07r3l4bfb1t3vjQ5tXF/tDF2G3N2f4w2dlPTKHNmAT83tbHstX2K6h/XIhARZ2TmHpMSNyLuCdwBODWrpoLV/H0z88SFzLHH9idqfyzW2JaP0cRta+xJzLlW9k7JzGtr8+dV9pos0xHxQCAz84cRcW9gX+CCzDxhPnEH2P5GUz6ait1UuRtg+xO1P8YZt62xfb8dTdy2xm5jzk3GbmPOw8Zu6/uL16bFw9vfFpem7uUcOG5EvBL4X+AVwLkR8eTa4rcvVGJzpdGyuG2NbfkYTdy2xp6onDvK3nkLVfaaLNMRcTDwX8CHI+IdwAcpfaG8MSLeNJ/Yg6TRsrgTFbupcjegidkfExC3rbF9vx1N3LbGbmPOTcZuY84Dx27r+4vXpsXFjroXl6aanQ0T98XA/TPzmohYTunEbHlmHsroTrRJ2h+LObblYzRx2xp70nJuquw1WaafDuwGbEEZJXHnzLw6It4DnAq8bZ7x+7GxlI+mYi/ma16TsduYc5OxJ+maN4hJ2h+LOXYbc24ydhtzHiZ2W8/xtuY9zrgTy0olNcXe8TUby4fGpY0jgjQ5mpVGw2uexsWyJy1ubT3H25q3uvD2t8VlkprwTULv+JO0PxZzbMvHaOK2Nfak5dzGEUGaHM2qXxtL+Wgq9mK+5jUZu405Nxl7kq55g5ik/bGYY7cx5yZjtzHnYWK39Rxva97jjDux7Ki7BSLiFsA/AHcFzgGOyMwbu6x368y8ctxxq9fsTPl1/bIuyx6Wmd+rHm+fmb8fMHYb90frYls+RhO3rbHbmHP1mkbKXsNleovMvK7L/B2AnTLznHnEtnyMIHYbr3lNxm5jzk3GbuM1r8m823gMm4zdxpybjN3GnJuM3cZzvK15N7k/2s5KpRaIiM8ANwDfBR4HXJSZr5rUuAPmMMwIB63bH22MbfkYTdy2xm5jzgPm0LoRQTxfJjt2n9ufmGPYZOw25txk7HGXuyqHiSl7bTyGTcZuY85Nxm5jzk3H7nP7E3OOD5jDxOQ9CftjYmWm04RPwDm1x0uAMyY57oA5nDkpeTe5P9oY2/LR/mPo/hht2Rtn3GFjWz5GF7ttx9DysTj2xwA5nDkpebfxGLo/3B/jjN3n9s9sW86Tlvck7I9JnexTqR1umH6QXZrYTWDcQQzTVK6N+6ONsS0fo4nb1thtzHkQTTXjbbJ5sOfLZMfuxyQdwyZjtzHnJmOPu9zBZJW9Nh7DJmO3MecmY7cx56Zj92OSzvFBTFLek7A/JpK3v7VARNwEXDv9FNgS+FP1ODPzVpMUd8AchmnS2Lr90cbYlo/RxG1r7DbmPGAOG8vtb5aPEcXuc/sTcwybjN3GnJuMPe5yV+UwMWWvjcewydhtzLnJ2G3MuenYfW5/Ys7xAXOYmLwnYX9MqiXjTkBzy8xN2xR3QAP3jt/G/dHG2JaP0cRta+w25jygNo4I4vkywbH7NDHHsMnYbcy5ydgTUO5ggspeG49hk7HbmHOTsduYc9Ox+zQx5/iAJibvCdkfE8mWSmqEveNrNpYPjUsbRwTxfGk/j6HGxbInLW5tPcfbmre6s1JJjbB3fM3G8qFxaeOIIJ4v7ecx1LhY9qTFra3neFvzVndWKqkREXFOZv5N9XgJcFpT/YiofSwfGpemyl6TZdrzpf08hhoXy560uLX1HG9r3urO0d/UFHvH12wsHxqXNo4I4vnSfh5DjYtlT1rc2nqOtzVvdWFLJTXC3vE1G8uHxqWNI4J4vrSfx1DjYtmTFre2nuNtzVvdWakkSZIkSZKkgXn7myRJkiRJkgZmpZIkSZIkSZIGZqWSJEmaCBGxOiI2ivvyIyIjYvW485hkG1N5kCSpraxUkiRpkYiI51aVFRkRL+qyfHltebfp0/PY9kerGH+KiO3m9Y+MWG2/HLWAMddGxNqFijdKETEVER+LiF9ExJ8j4uqIOCci3hMRd1jA7RxV7fflCxVTkiSN1pJxJyBJkuYvInYBPgBcA2w9x+o/Ar7YZf65Q257G2B/ICkjuDwH+OAwsTYi96KMdDMxIiKAdwKvB24ETgI+B2wOPBT4J+AfI+LAzDx2BCk9D7jlCLYjSZKGZKWSJEktV1UGfAz4HfAFypf/2ZyVmasWMIW/p1RkvQ94GfBirFSaVWZeMO4cuvhXSoXSWuCJmXlefWFEPA34BPDpiHh0Zn6ryWQy81dNxpckSfPn7W+SJLXfK4G9gecD145h+y8GbqZUKh0P3C8iHtRr5YjYPyJOr26tujwiPh4Rt++x7uYR8fKIOCEiLoqI6yLiyoj4ekQ8rsdr1lbTthHxwYj4dUT8JSJ+HBGvrCrhptddBfyyenpgx+2AKwbNISL2rPoBuiNwx454R9XW69qnUpXzOyLiJ1XOv4+Ir0bEo7qsu2cVZ1VE7BYRX4mIq6pbEL8dEQ/tdQy6xFpOqVS6AXhSZ4USQGZ+HngNsCnw4YjYpPb6FdP7LCKeEBHfj4hrq/yPjYi7dWwvgQOrp7+s7aO1tXW69qkUEZtExD9ExA8j4ppqOz+MiJfWc6pvq4q1Q0QcFhG/qY7heRHx/C7rR0QcWP0P66rjcHF1HJ7V3x6VJGnjYEslSZJaLCLuRbll6dDM/E5E7N3Hy24fES8BbkNp3fSDzDx7yO3vDtwfOCkzL64qTp4KrARO7bL+a4D/BK4C/l/197HA94E/dNnErYFDq+UnAeuAnYC/A06IiBdn5uFdXrc58HVgO+DT1fOnVbHuQWlRBbC6WudVbHhb4FlD5LAWOAR4dfX8/V3idRWlL6rvAfcGfli9dgfgmcDXIuKlmfmRLi+dorQw+gFwOLCs+l+/ERG7ZeZPZttu5fmUz4WfzcxzZlnvcErl0z2ARwKdrZWeCjwOOI6yb3erctkrIh5ay+UQYD9gV8q+vaqafxVz+zilddzFVT4JPAX4EPC3wLO7vGY7yr69HjgWuAXwdODIiLg5M4+urfs24CBKZeNnKeVyJ+ABwDOAz/SRoyRJG4fMdHJycnJycmrhRKkEWAP8BNiymreK8iX7RV3WX14t6zZ9C1g2RA7/U73+gFpOl1H6drpVl+1fB1wJLK/N3wT4/HQuHa/ZAti5y3a3pfQBdeX0/15btraKdTKwRW3+rYGfV8se0WW/HNXjfxw2h7Wz7LcEVnfM+0g1/yNA1ObfjVKxcV3HftuzdvxWdMR6STX/Q30ex29U67+4j3WPqdZ9c23eilouT+xY/1XV/G90zD+qmr+8x3ZWdykPB1SvOQPYujZ/K8q5kMDfd9nXSamA2rQ2/96UvqN+3LH+74BLgFt2yWmHYc9XJycnJyenxTh5+5skSe31FmB3SoXCn/tY/0/AWykti7avpunWJntSWrZs1e/Gq3UPoFR4HAeQmTdSKh22orQmqXs2pcXQBzJz7fTMzLwZ+GfKLXTryczrMvOSLvP/ABxZ/Q8P6JHiQZl5Xe01V1L+fygtc/oyzxz6EhGbUTo4v6bK+6+3fWXmhcB/Ufbd87q8/HuZeVTHvCMpFSYP7DOFnaq/F/ex7vQ63W5Z/GZmHt8x74OUyry9I+KOfebTywuqv2/MzGumZ2bmtcAbqqcbjHxIKfuvzcybaq/5MaX10r2idDZfdwNwU8c8MvOKeeQuSdKiY6WSJEktFBEPBP4FeG9m/qCf12Tm5Zn5lsw8IzOvqqbvAI+h3Kp2V7p/Ie9lf+BWwKcz8y+1+R+r/q7sWH+P6u+3u+T2C3pUaETEfaIMPz89xH1Wfe28t1ql2zD3N1JuV+u0uvq7e7dt9TJkDoO4J2Wksx9VlV+dvln97Zb3ms4ZmXkD8FtKhVc/pvuZ2qAPowHX7XZsb6K0GoMB93sXe1AqH1f32PZNPbZxYWZe3WX+dJnbrjbvGErrtfOq/q32jYhth01YkqTFzD6VJElqmYhYQulX5qeU/m3mJTNvjIjDgQcBj6D0cdOP6UqjozrinRsRpwP3j4ipzJyu9Jj+Yv7bHvEuo3Rw/VcR8WBKhcoSyi1aXwKuplQs7AY8mXJ7Wqcr6q1SOrZRz2VO88hhENP5/KbH8un523VZdlWP19xI6VS7H7+hVGwt62PdnTtyqpvt2MIA+72HbYErM/P6zgVVOb4C2LHL667qEe/G6m99P72G0rLqBcAbq+nGiDgBeF1m/mzI3CVJWnSsVJIkqX22Bu5ePf5LbTCzuo9GxEcpHXi/uo+Y66q/fd3+FhH3Y+bWqh/0yAFKxdN0pdJ0R9y3BTYYXQy4XZd5bwa2BPbKzNUdORxEqdDpZoeI2LRLxdL0Nrp1Ct7LsDkMYjqfbvsAZm5PGyTvQZwM7AU8Cvhor5UiYlPKrZJQbh3rdNseLx1mv3fzB+DWEbFZ1RqrntsSSsfm3Vok9a0qM4cCh0bEjpTOv/endNJ9n4i4T/22SkmSNmZWKkmS1D7XAUf0WLYH5fafkykdePd1axzw4OrvL/pcf7qV0mpKq45u/h44ICJeW/V/cwZldLBHMnM7FwARcWdgly4x7kppmbK6y7JHzpLfEuChwHc75u9Z/T2zNm+64qlXq55hcriJ0gdSv35C6fdnt4jYPjN/37F8r+rvGQPEHMRRlNspn1JVmnSr9IPSeuf2lHw3uNWNLvujqoj62+rpIPu9mzOBfSgt6r7RsewRVawF20eZeTnwBeALEfENYG/gvsDpC7UNSZLazD6VJElqmcz8c2a+qNtEuTUL4Ohq3l+HP4+IB0XEBhUdEbE35ZYfgE/Mtf2I2JLS6fZNwLNnyeXzlFZVB1QvPYbSAfIrImJ5Ld4mwHvo/rlkLaVlyv06cngh8Ng5Un1HRPz1trSIuDWl1RHM9PsE8HtK/0C9bv0aJoffAUurfTWn6nauYyj76986tnMX4JWUfffxfuINqurT6u3AZsCXIuLenetExH6UFjw3Af9YdbDeae+IeGLHvJcDdwG+lZkX1eb/rvrbzy13046s/r4jIm5Zy+2WwDurp70qXOcUEVtExD7R0fSu6kj91tXTPw0bX5KkxcaWSpIkbTzeRbl9ZzVlyHSA+1FaXwD8a2Z269y607Mofft8OTMvnWW9wykjmq0EPpqZayPijZTOrc+MiM9Qbmd6bBXv7CqfuvdXy0+OiM9W609RWr4cCzy9x7Z/Q+nn6NyI+BKlsuTplNvIPlR1UA5AZl4TEacCD4+IYyh9Vd0EfCkzzx4yh29QRoQ7MSK+Q2ld9qPM/PIs++uNwMOBl0fEAyij8u0APBPYBnh5Zv5yltfP1yrK7Y+vBX4UEV+l3Ka4GaXV14OAPwMHZOY3e8T4MnBcRBwH/AzYFXg8cCXwjx3rfoMy6t9HI+JYysh3V2XmB3slmJmfjIgnU/bJeRHxRUqF4H7AnYDPZuYxg/3b69kS+DqwtioTFwG3AB4N3ItSJs6fR3xJkhYVK5UkSdp4fBx4CqWy43GUyoLfAp8FPpiZnbeK9fLi6u/hs62Umd+OiJ8CUxGxe2aemZn/GRG/oVQmrAD+CHwVeD3wyS4xToyIv6O0MHoWpbLnNMrtYHemd6XS9ZT+gd5O6Q9nB8qtfe8EPtBl/ecC7wP2pbSsCkrF29lD5vDvlIqyvwMeRrkt62hKpUtXmXllRDwEOIhym+BrKZU4pwHvycyv9XrtQqhaHr2uqux7GeV2sn0o/+9aSmXg+zPzkp5Byq1ihwFvAp5AaV31BeCgzPxpx/a+GhGvo5Sn11BuF7wI6FmpVDmAcuvdC4CXVPPOr/L7cD//6yyuBd5AObYPpVRW/ZFyi+dLmWkpJUmSgMjsZ+RYSZKkdoiItQCZuXy8mWw8ImIF5ZbC52fmUePNRpIkjYp9KkmSJEmSJGlgVipJkiRJkiRpYFYqSZIkSZIkaWD2qSRJkiRJkqSB2VJJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkDs1JJkiRJkiRJA7NSSZIkSZIkSQOzUkmSJEmSJEkD+/9Q9o7+tvdLiAAAAABJRU5ErkJggg==\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",
    "\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": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1.0, 1.0, 1.0]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2_85"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([39.25, 28.25,  6.25])"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2_85_arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x540 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig37, ax1 = plt.subplots(figsize=(20,7.5))\n",
    "\n",
    "width = 0.25\n",
    "\n",
    "ax1.bar(x_85_arr, y_85, width = width, color = 'Blue', label = \"2020\")\n",
    "ax1.bar(x1_85_arr, y1_85, width = width, color = 'Green', label = \"2050\")\n",
    "ax1.bar(x2_85_arr, y2_85, width = width, color = 'Red', label = \"2070\")\n",
    "\n",
    "\n",
    "#X-Axis\n",
    "xticks = np.arange(0, 45, 1)\n",
    "ax1.set_xticks(xticks)\n",
    "#ax1.set_xticks(xticks, all_Policies)\n",
    "\n",
    "xlabels = all_Policies\n",
    "#ax1.set_xticklabels(xlabels)\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10, ha=\"right\", rotation_mode=\"anchor\")\n",
    "#plt.setp(ax1.get_xticklabels(), rotation=60, size = 10)\n",
    "plt.xticks(xticks, xlabels, fontsize=16)\n",
    "plt.setp(ax1.get_xticklabels(), rotation=90, size = 10)\n",
    "\n",
    "\n",
    "\n",
    "#Y-Axis\n",
    "yticks = np.arange(0, 70, 3)\n",
    "#ax1.set_yticks(yticks)\n",
    "#plt.setp(ax1.get_yticklabels(), rotation=0, size = 15, ha=\"right\", rotation_mode=\"anchor\")\n",
    "\n",
    "ax1.set_yticks(yticks)\n",
    "ax1.set_title(title_Figs + ', RCP8.5', size = 30)\n",
    "ax1.set_xlabel('45 Adaptation Options', size = 20)\n",
    "ax1.set_ylabel('Frequency', size = 20)\n",
    "\n",
    "ax1.axhline(y=67, color='green', alpha=0.8)\n",
    "ax1.axhline(y=50, color='green', alpha=0.8)\n",
    "ax1.axhline(y=33, color='orange', alpha=0.8)\n",
    "ax1.axhline(y=16, color='red', alpha=0.8)\n",
    "\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
}