KIMS-Urine-df-reset-0502.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Python notebook for Urine Raman spectra (Panc Cancer) Data Set\n",
    "# https://www.kaggle.com/kritikaaggarwal/complete-analysis-and-prediction-on-tumors\n",
    "# https://github.com/EBjerrum/Deep-Chemometrics/blob/master/Deep_Chemometrics_with_data_augmentation.py.ipynb\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scipy as sp\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "import matplotlib as mpl\n",
    "#import seaborn as sns\n",
    "\n",
    "import sklearn as skl\n",
    "from scipy.io import loadmat\n",
    "from scipy import stats\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import metrics \n",
    "\n",
    "from sklearn.cross_decomposition import PLSRegression\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier \n",
    "from sklearn import svm "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1902, 80)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Load the data\n",
    "df_i = pd.read_excel('./Prostate_0331_rawdata.xlsx')\n",
    "df_i.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['wavenumber', 'Pro 2', 'Pro 3', 'Pro 4', 'Pro 5', 'Pro 6', 'Pro 11',\n",
       "       'Pro 12', 'Pro 24', 'Pro 25', 'Pro 26', 'Pro 27', 'Pro 28', 'Pro 32',\n",
       "       'Pro 33', 'Pro 34', 'Pro 35', 'Pro 36', 'Pro 39', 'Pro 40', 'Pro 19',\n",
       "       'Pro 20', 'Pro 21', 'Pro 22', 'Pro 23', 'Pro 29', 'Pro 30', 'Pro 31',\n",
       "       'Pro 37', 'Pro 38', 'Pro 1', 'Pro 7', 'Pro 8', 'Pro 9', 'Pro 10',\n",
       "       'Pro 14', 'Pro 15', 'Pro 16', 'Pro 17', 'Pro 18', 'Normal 41',\n",
       "       'Normal 45', 'Normal 46', 'Normal 28', 'Normal 30', 'Normal 31',\n",
       "       'Normal 51', 'Normal 52', 'Normal 1', 'Normal 2', 'Normal 3',\n",
       "       'Normal 4', 'Normal 5', 'Normal 6', 'Normal 7', 'Normal 8', 'Normal 9',\n",
       "       'Normal 10', 'Normal 11', 'Normal 12', 'Normal 13', 'Normal 14',\n",
       "       'Normal 15', 'Normal 16', 'Normal 18', 'Normal 19', 'Normal 20',\n",
       "       'Normal 21', 'Normal 22', 'Normal 23', 'Normal 24', 'Normal 25',\n",
       "       'Normal 26', 'Normal 27', 'Normal 28.1', 'Normal 29', 'Normal 30.1',\n",
       "       'Normal 31.1', 'Normal 17', 'Normal 32'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_i.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>wavenumber</th>\n",
       "      <th>Pro 2</th>\n",
       "      <th>Pro 3</th>\n",
       "      <th>Pro 4</th>\n",
       "      <th>Pro 5</th>\n",
       "      <th>Pro 6</th>\n",
       "      <th>Pro 11</th>\n",
       "      <th>Pro 12</th>\n",
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       "      <th>Normal 25</th>\n",
       "      <th>Normal 26</th>\n",
       "      <th>Normal 27</th>\n",
       "      <th>Normal 28.1</th>\n",
       "      <th>Normal 29</th>\n",
       "      <th>Normal 30.1</th>\n",
       "      <th>Normal 31.1</th>\n",
       "      <th>Normal 17</th>\n",
       "      <th>Normal 32</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PN</td>\n",
       "      <td>P</td>\n",
       "      <td>P</td>\n",
       "      <td>P</td>\n",
       "      <td>P</td>\n",
       "      <td>P</td>\n",
       "      <td>P</td>\n",
       "      <td>P</td>\n",
       "      <td>P</td>\n",
       "      <td>P</td>\n",
       "      <td>...</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>400</td>\n",
       "      <td>291.167</td>\n",
       "      <td>160.067</td>\n",
       "      <td>360.333</td>\n",
       "      <td>251.633</td>\n",
       "      <td>237.8</td>\n",
       "      <td>154.833</td>\n",
       "      <td>357.333</td>\n",
       "      <td>236</td>\n",
       "      <td>319.167</td>\n",
       "      <td>...</td>\n",
       "      <td>642.133</td>\n",
       "      <td>543.767</td>\n",
       "      <td>344.033</td>\n",
       "      <td>457.967</td>\n",
       "      <td>648.067</td>\n",
       "      <td>152.067</td>\n",
       "      <td>747.033</td>\n",
       "      <td>1042.83</td>\n",
       "      <td>827.9</td>\n",
       "      <td>553.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>401</td>\n",
       "      <td>289.767</td>\n",
       "      <td>163</td>\n",
       "      <td>360.067</td>\n",
       "      <td>260.333</td>\n",
       "      <td>244.3</td>\n",
       "      <td>153.967</td>\n",
       "      <td>356.367</td>\n",
       "      <td>233.5</td>\n",
       "      <td>319.1</td>\n",
       "      <td>...</td>\n",
       "      <td>643.067</td>\n",
       "      <td>549.867</td>\n",
       "      <td>345.5</td>\n",
       "      <td>447.1</td>\n",
       "      <td>653.367</td>\n",
       "      <td>158.433</td>\n",
       "      <td>756.367</td>\n",
       "      <td>1039.8</td>\n",
       "      <td>829.067</td>\n",
       "      <td>556.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>402</td>\n",
       "      <td>286.933</td>\n",
       "      <td>164.767</td>\n",
       "      <td>360.467</td>\n",
       "      <td>260.167</td>\n",
       "      <td>249.1</td>\n",
       "      <td>155.767</td>\n",
       "      <td>345.033</td>\n",
       "      <td>227.833</td>\n",
       "      <td>320.367</td>\n",
       "      <td>...</td>\n",
       "      <td>612.9</td>\n",
       "      <td>568.133</td>\n",
       "      <td>339.867</td>\n",
       "      <td>428.1</td>\n",
       "      <td>646.467</td>\n",
       "      <td>155.267</td>\n",
       "      <td>745.033</td>\n",
       "      <td>1011.4</td>\n",
       "      <td>813.067</td>\n",
       "      <td>555.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>403</td>\n",
       "      <td>283.667</td>\n",
       "      <td>166.233</td>\n",
       "      <td>361.1</td>\n",
       "      <td>257.3</td>\n",
       "      <td>253.367</td>\n",
       "      <td>158.267</td>\n",
       "      <td>330.7</td>\n",
       "      <td>221.3</td>\n",
       "      <td>322.133</td>\n",
       "      <td>...</td>\n",
       "      <td>573.667</td>\n",
       "      <td>589.967</td>\n",
       "      <td>332.267</td>\n",
       "      <td>406.8</td>\n",
       "      <td>635.9</td>\n",
       "      <td>149.2</td>\n",
       "      <td>727.433</td>\n",
       "      <td>975.567</td>\n",
       "      <td>791.933</td>\n",
       "      <td>553.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>404</td>\n",
       "      <td>280.4</td>\n",
       "      <td>167.533</td>\n",
       "      <td>361.967</td>\n",
       "      <td>253.7</td>\n",
       "      <td>256.967</td>\n",
       "      <td>160.767</td>\n",
       "      <td>318.533</td>\n",
       "      <td>215.7</td>\n",
       "      <td>323.467</td>\n",
       "      <td>...</td>\n",
       "      <td>538.8</td>\n",
       "      <td>609.767</td>\n",
       "      <td>326.233</td>\n",
       "      <td>388.167</td>\n",
       "      <td>625.5</td>\n",
       "      <td>143.133</td>\n",
       "      <td>710.5</td>\n",
       "      <td>942.567</td>\n",
       "      <td>771.5</td>\n",
       "      <td>551.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>405</td>\n",
       "      <td>277.133</td>\n",
       "      <td>168.3</td>\n",
       "      <td>363.733</td>\n",
       "      <td>247.5</td>\n",
       "      <td>257.7</td>\n",
       "      <td>162.967</td>\n",
       "      <td>315.933</td>\n",
       "      <td>213.933</td>\n",
       "      <td>322.967</td>\n",
       "      <td>...</td>\n",
       "      <td>523.833</td>\n",
       "      <td>620.5</td>\n",
       "      <td>327.3</td>\n",
       "      <td>381.2</td>\n",
       "      <td>616.233</td>\n",
       "      <td>137.433</td>\n",
       "      <td>697.533</td>\n",
       "      <td>923</td>\n",
       "      <td>755.3</td>\n",
       "      <td>548.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>406</td>\n",
       "      <td>273.867</td>\n",
       "      <td>168.333</td>\n",
       "      <td>366.733</td>\n",
       "      <td>237.933</td>\n",
       "      <td>254.8</td>\n",
       "      <td>164.833</td>\n",
       "      <td>325.9</td>\n",
       "      <td>217.333</td>\n",
       "      <td>320.167</td>\n",
       "      <td>...</td>\n",
       "      <td>534.9</td>\n",
       "      <td>619.267</td>\n",
       "      <td>337.633</td>\n",
       "      <td>389.5</td>\n",
       "      <td>608.433</td>\n",
       "      <td>132.167</td>\n",
       "      <td>689.767</td>\n",
       "      <td>920.733</td>\n",
       "      <td>744.467</td>\n",
       "      <td>544.367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>407</td>\n",
       "      <td>270.633</td>\n",
       "      <td>168.133</td>\n",
       "      <td>370.033</td>\n",
       "      <td>227.3</td>\n",
       "      <td>250.733</td>\n",
       "      <td>166.6</td>\n",
       "      <td>339.733</td>\n",
       "      <td>222.333</td>\n",
       "      <td>316.7</td>\n",
       "      <td>...</td>\n",
       "      <td>554.033</td>\n",
       "      <td>614.333</td>\n",
       "      <td>350.8</td>\n",
       "      <td>402.533</td>\n",
       "      <td>601.133</td>\n",
       "      <td>127.1</td>\n",
       "      <td>683.567</td>\n",
       "      <td>924.067</td>\n",
       "      <td>735.367</td>\n",
       "      <td>540.333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>408</td>\n",
       "      <td>268.167</td>\n",
       "      <td>167.5</td>\n",
       "      <td>373.167</td>\n",
       "      <td>218</td>\n",
       "      <td>247.733</td>\n",
       "      <td>168.367</td>\n",
       "      <td>353.033</td>\n",
       "      <td>226.533</td>\n",
       "      <td>313.1</td>\n",
       "      <td>...</td>\n",
       "      <td>571.733</td>\n",
       "      <td>609.333</td>\n",
       "      <td>360.9</td>\n",
       "      <td>414.133</td>\n",
       "      <td>594.967</td>\n",
       "      <td>122.867</td>\n",
       "      <td>678.367</td>\n",
       "      <td>928.667</td>\n",
       "      <td>726.5</td>\n",
       "      <td>536.433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>409</td>\n",
       "      <td>269.2</td>\n",
       "      <td>165</td>\n",
       "      <td>375.267</td>\n",
       "      <td>215.167</td>\n",
       "      <td>249.733</td>\n",
       "      <td>170.233</td>\n",
       "      <td>363.3</td>\n",
       "      <td>227.033</td>\n",
       "      <td>309.233</td>\n",
       "      <td>...</td>\n",
       "      <td>581.367</td>\n",
       "      <td>605.033</td>\n",
       "      <td>356.367</td>\n",
       "      <td>418</td>\n",
       "      <td>593.6</td>\n",
       "      <td>122.767</td>\n",
       "      <td>677.033</td>\n",
       "      <td>938</td>\n",
       "      <td>718.667</td>\n",
       "      <td>533.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>410</td>\n",
       "      <td>275.433</td>\n",
       "      <td>159.7</td>\n",
       "      <td>375.967</td>\n",
       "      <td>221.833</td>\n",
       "      <td>259.3</td>\n",
       "      <td>172.333</td>\n",
       "      <td>368.9</td>\n",
       "      <td>221.9</td>\n",
       "      <td>305.1</td>\n",
       "      <td>...</td>\n",
       "      <td>578.733</td>\n",
       "      <td>601.7</td>\n",
       "      <td>330.067</td>\n",
       "      <td>410.333</td>\n",
       "      <td>599.4</td>\n",
       "      <td>128.7</td>\n",
       "      <td>681.567</td>\n",
       "      <td>954.4</td>\n",
       "      <td>712.3</td>\n",
       "      <td>532.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>411</td>\n",
       "      <td>283.367</td>\n",
       "      <td>153.467</td>\n",
       "      <td>376.133</td>\n",
       "      <td>231.567</td>\n",
       "      <td>271.2</td>\n",
       "      <td>174.5</td>\n",
       "      <td>372.933</td>\n",
       "      <td>214.967</td>\n",
       "      <td>300.8</td>\n",
       "      <td>...</td>\n",
       "      <td>572.133</td>\n",
       "      <td>598.667</td>\n",
       "      <td>296.733</td>\n",
       "      <td>398.967</td>\n",
       "      <td>607.533</td>\n",
       "      <td>136.6</td>\n",
       "      <td>687.9</td>\n",
       "      <td>972.967</td>\n",
       "      <td>706.433</td>\n",
       "      <td>531.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>412</td>\n",
       "      <td>290.667</td>\n",
       "      <td>147.7</td>\n",
       "      <td>376.033</td>\n",
       "      <td>240.333</td>\n",
       "      <td>281.7</td>\n",
       "      <td>176.4</td>\n",
       "      <td>375.933</td>\n",
       "      <td>208.5</td>\n",
       "      <td>296.4</td>\n",
       "      <td>...</td>\n",
       "      <td>564.2</td>\n",
       "      <td>594.4</td>\n",
       "      <td>266.3</td>\n",
       "      <td>388</td>\n",
       "      <td>614.667</td>\n",
       "      <td>144.333</td>\n",
       "      <td>693.333</td>\n",
       "      <td>988.9</td>\n",
       "      <td>699.733</td>\n",
       "      <td>529.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>413</td>\n",
       "      <td>294.167</td>\n",
       "      <td>144.333</td>\n",
       "      <td>374.667</td>\n",
       "      <td>243.367</td>\n",
       "      <td>284.333</td>\n",
       "      <td>177.133</td>\n",
       "      <td>373.667</td>\n",
       "      <td>205.2</td>\n",
       "      <td>291.4</td>\n",
       "      <td>...</td>\n",
       "      <td>550.333</td>\n",
       "      <td>583.6</td>\n",
       "      <td>252.867</td>\n",
       "      <td>380.167</td>\n",
       "      <td>616.167</td>\n",
       "      <td>150.7</td>\n",
       "      <td>693.267</td>\n",
       "      <td>989.967</td>\n",
       "      <td>688.833</td>\n",
       "      <td>522.267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>414</td>\n",
       "      <td>291.3</td>\n",
       "      <td>145.2</td>\n",
       "      <td>371.2</td>\n",
       "      <td>236.633</td>\n",
       "      <td>273.5</td>\n",
       "      <td>175.833</td>\n",
       "      <td>362.6</td>\n",
       "      <td>207.2</td>\n",
       "      <td>285.267</td>\n",
       "      <td>...</td>\n",
       "      <td>526.333</td>\n",
       "      <td>561.733</td>\n",
       "      <td>268.267</td>\n",
       "      <td>377.633</td>\n",
       "      <td>607.933</td>\n",
       "      <td>154.667</td>\n",
       "      <td>683.8</td>\n",
       "      <td>965.933</td>\n",
       "      <td>670.767</td>\n",
       "      <td>506.867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>415</td>\n",
       "      <td>286.267</td>\n",
       "      <td>147.333</td>\n",
       "      <td>366.967</td>\n",
       "      <td>226.5</td>\n",
       "      <td>258.2</td>\n",
       "      <td>173.833</td>\n",
       "      <td>348.5</td>\n",
       "      <td>210.9</td>\n",
       "      <td>278.767</td>\n",
       "      <td>...</td>\n",
       "      <td>498.933</td>\n",
       "      <td>536.167</td>\n",
       "      <td>293.3</td>\n",
       "      <td>376.867</td>\n",
       "      <td>596.5</td>\n",
       "      <td>157.867</td>\n",
       "      <td>671.167</td>\n",
       "      <td>933.467</td>\n",
       "      <td>650.333</td>\n",
       "      <td>488.633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>416</td>\n",
       "      <td>280.633</td>\n",
       "      <td>149.5</td>\n",
       "      <td>362.5</td>\n",
       "      <td>216.733</td>\n",
       "      <td>243.133</td>\n",
       "      <td>171.767</td>\n",
       "      <td>334.433</td>\n",
       "      <td>214.067</td>\n",
       "      <td>272</td>\n",
       "      <td>...</td>\n",
       "      <td>473.1</td>\n",
       "      <td>510.767</td>\n",
       "      <td>316.967</td>\n",
       "      <td>375.5</td>\n",
       "      <td>585.2</td>\n",
       "      <td>160.467</td>\n",
       "      <td>657.767</td>\n",
       "      <td>900.4</td>\n",
       "      <td>630.433</td>\n",
       "      <td>470.867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>417</td>\n",
       "      <td>272.5</td>\n",
       "      <td>151.033</td>\n",
       "      <td>357.067</td>\n",
       "      <td>209.767</td>\n",
       "      <td>230.933</td>\n",
       "      <td>169.367</td>\n",
       "      <td>321.233</td>\n",
       "      <td>212.767</td>\n",
       "      <td>263.233</td>\n",
       "      <td>...</td>\n",
       "      <td>457.767</td>\n",
       "      <td>487.833</td>\n",
       "      <td>329.133</td>\n",
       "      <td>370.067</td>\n",
       "      <td>576.333</td>\n",
       "      <td>159.633</td>\n",
       "      <td>640.533</td>\n",
       "      <td>866.267</td>\n",
       "      <td>614.867</td>\n",
       "      <td>457.067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>418</td>\n",
       "      <td>259.4</td>\n",
       "      <td>151.367</td>\n",
       "      <td>349.667</td>\n",
       "      <td>208.1</td>\n",
       "      <td>224.3</td>\n",
       "      <td>166.333</td>\n",
       "      <td>309.633</td>\n",
       "      <td>202.933</td>\n",
       "      <td>250.767</td>\n",
       "      <td>...</td>\n",
       "      <td>462.6</td>\n",
       "      <td>469.533</td>\n",
       "      <td>319.1</td>\n",
       "      <td>356.867</td>\n",
       "      <td>571.9</td>\n",
       "      <td>152.167</td>\n",
       "      <td>615.867</td>\n",
       "      <td>830.167</td>\n",
       "      <td>607.567</td>\n",
       "      <td>450.767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>419</td>\n",
       "      <td>244.533</td>\n",
       "      <td>151.267</td>\n",
       "      <td>341.533</td>\n",
       "      <td>208.267</td>\n",
       "      <td>219.567</td>\n",
       "      <td>163.067</td>\n",
       "      <td>298.6</td>\n",
       "      <td>190.2</td>\n",
       "      <td>237.033</td>\n",
       "      <td>...</td>\n",
       "      <td>474.5</td>\n",
       "      <td>452.867</td>\n",
       "      <td>301.4</td>\n",
       "      <td>340.9</td>\n",
       "      <td>569.067</td>\n",
       "      <td>142.433</td>\n",
       "      <td>588.633</td>\n",
       "      <td>793.367</td>\n",
       "      <td>603.167</td>\n",
       "      <td>447.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>420</td>\n",
       "      <td>229.9</td>\n",
       "      <td>150.967</td>\n",
       "      <td>333</td>\n",
       "      <td>208.6</td>\n",
       "      <td>215.033</td>\n",
       "      <td>159.767</td>\n",
       "      <td>287.667</td>\n",
       "      <td>177.8</td>\n",
       "      <td>223.4</td>\n",
       "      <td>...</td>\n",
       "      <td>485.467</td>\n",
       "      <td>436.933</td>\n",
       "      <td>283.833</td>\n",
       "      <td>325.4</td>\n",
       "      <td>566.033</td>\n",
       "      <td>132.733</td>\n",
       "      <td>562.167</td>\n",
       "      <td>757.1</td>\n",
       "      <td>598.4</td>\n",
       "      <td>442.833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>421</td>\n",
       "      <td>217.267</td>\n",
       "      <td>149.233</td>\n",
       "      <td>321.2</td>\n",
       "      <td>209.933</td>\n",
       "      <td>211.433</td>\n",
       "      <td>156.267</td>\n",
       "      <td>277.433</td>\n",
       "      <td>169.067</td>\n",
       "      <td>210.967</td>\n",
       "      <td>...</td>\n",
       "      <td>486.9</td>\n",
       "      <td>425.833</td>\n",
       "      <td>269.767</td>\n",
       "      <td>314.567</td>\n",
       "      <td>561.267</td>\n",
       "      <td>124.633</td>\n",
       "      <td>542.733</td>\n",
       "      <td>725.267</td>\n",
       "      <td>589.467</td>\n",
       "      <td>433.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>422</td>\n",
       "      <td>209.1</td>\n",
       "      <td>144.533</td>\n",
       "      <td>302.2</td>\n",
       "      <td>213.167</td>\n",
       "      <td>209.767</td>\n",
       "      <td>152.3</td>\n",
       "      <td>268.667</td>\n",
       "      <td>168.3</td>\n",
       "      <td>201.133</td>\n",
       "      <td>...</td>\n",
       "      <td>467.733</td>\n",
       "      <td>425.367</td>\n",
       "      <td>263.567</td>\n",
       "      <td>313.9</td>\n",
       "      <td>552.633</td>\n",
       "      <td>119.933</td>\n",
       "      <td>538.633</td>\n",
       "      <td>702.9</td>\n",
       "      <td>571.7</td>\n",
       "      <td>411.467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>423</td>\n",
       "      <td>202.467</td>\n",
       "      <td>138.7</td>\n",
       "      <td>280.733</td>\n",
       "      <td>217.1</td>\n",
       "      <td>208.767</td>\n",
       "      <td>148.133</td>\n",
       "      <td>260.4</td>\n",
       "      <td>170.367</td>\n",
       "      <td>192.167</td>\n",
       "      <td>...</td>\n",
       "      <td>441.2</td>\n",
       "      <td>428.7</td>\n",
       "      <td>260.033</td>\n",
       "      <td>316.733</td>\n",
       "      <td>542.6</td>\n",
       "      <td>116.367</td>\n",
       "      <td>539.9</td>\n",
       "      <td>684</td>\n",
       "      <td>550.733</td>\n",
       "      <td>385.633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>424</td>\n",
       "      <td>196.167</td>\n",
       "      <td>133</td>\n",
       "      <td>259.467</td>\n",
       "      <td>220.8</td>\n",
       "      <td>207.667</td>\n",
       "      <td>144.067</td>\n",
       "      <td>252.2</td>\n",
       "      <td>172.567</td>\n",
       "      <td>183.667</td>\n",
       "      <td>...</td>\n",
       "      <td>415.2</td>\n",
       "      <td>431.8</td>\n",
       "      <td>256.533</td>\n",
       "      <td>319.5</td>\n",
       "      <td>532.733</td>\n",
       "      <td>113</td>\n",
       "      <td>541.567</td>\n",
       "      <td>665.333</td>\n",
       "      <td>530.167</td>\n",
       "      <td>360.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>425</td>\n",
       "      <td>192.3</td>\n",
       "      <td>129.1</td>\n",
       "      <td>242.4</td>\n",
       "      <td>221.467</td>\n",
       "      <td>204.833</td>\n",
       "      <td>140.933</td>\n",
       "      <td>243.8</td>\n",
       "      <td>174.333</td>\n",
       "      <td>178.767</td>\n",
       "      <td>...</td>\n",
       "      <td>399.033</td>\n",
       "      <td>431.567</td>\n",
       "      <td>251.767</td>\n",
       "      <td>318.833</td>\n",
       "      <td>525.133</td>\n",
       "      <td>110.567</td>\n",
       "      <td>544.333</td>\n",
       "      <td>647.867</td>\n",
       "      <td>514.867</td>\n",
       "      <td>341.833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>426</td>\n",
       "      <td>194.433</td>\n",
       "      <td>129.467</td>\n",
       "      <td>235.233</td>\n",
       "      <td>214.8</td>\n",
       "      <td>197.767</td>\n",
       "      <td>140.167</td>\n",
       "      <td>235.133</td>\n",
       "      <td>175.033</td>\n",
       "      <td>182.7</td>\n",
       "      <td>...</td>\n",
       "      <td>406.767</td>\n",
       "      <td>423.067</td>\n",
       "      <td>243.9</td>\n",
       "      <td>310.033</td>\n",
       "      <td>523.1</td>\n",
       "      <td>110.467</td>\n",
       "      <td>549.767</td>\n",
       "      <td>633.133</td>\n",
       "      <td>512.5</td>\n",
       "      <td>340.367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>427</td>\n",
       "      <td>198.7</td>\n",
       "      <td>131.433</td>\n",
       "      <td>231.733</td>\n",
       "      <td>205.5</td>\n",
       "      <td>189.167</td>\n",
       "      <td>140.233</td>\n",
       "      <td>226.333</td>\n",
       "      <td>175.4</td>\n",
       "      <td>189.8</td>\n",
       "      <td>...</td>\n",
       "      <td>423.033</td>\n",
       "      <td>411.567</td>\n",
       "      <td>234.9</td>\n",
       "      <td>298.267</td>\n",
       "      <td>523.033</td>\n",
       "      <td>111.233</td>\n",
       "      <td>556.233</td>\n",
       "      <td>619.467</td>\n",
       "      <td>514.767</td>\n",
       "      <td>345.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>428</td>\n",
       "      <td>203</td>\n",
       "      <td>133.3</td>\n",
       "      <td>228.4</td>\n",
       "      <td>196.2</td>\n",
       "      <td>180.5</td>\n",
       "      <td>140.367</td>\n",
       "      <td>217.667</td>\n",
       "      <td>175.667</td>\n",
       "      <td>196.9</td>\n",
       "      <td>...</td>\n",
       "      <td>439.467</td>\n",
       "      <td>399.867</td>\n",
       "      <td>225.967</td>\n",
       "      <td>286.4</td>\n",
       "      <td>523</td>\n",
       "      <td>112</td>\n",
       "      <td>562.533</td>\n",
       "      <td>605.633</td>\n",
       "      <td>517.167</td>\n",
       "      <td>350.033</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",
       "      <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>1872</th>\n",
       "      <td>2271</td>\n",
       "      <td>87.8333</td>\n",
       "      <td>50.5</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>84.2</td>\n",
       "      <td>57.7333</td>\n",
       "      <td>58.7</td>\n",
       "      <td>62.3</td>\n",
       "      <td>82.5667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>82.1333</td>\n",
       "      <td>123.633</td>\n",
       "      <td>99.2333</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>122.833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1873</th>\n",
       "      <td>2272</td>\n",
       "      <td>90.7667</td>\n",
       "      <td>52.9</td>\n",
       "      <td>81.4667</td>\n",
       "      <td>82.5</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>54.3667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>75.4667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>128.8</td>\n",
       "      <td>70.6</td>\n",
       "      <td>120.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>51.1667</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1874</th>\n",
       "      <td>2273</td>\n",
       "      <td>93.5</td>\n",
       "      <td>54.4667</td>\n",
       "      <td>84.4333</td>\n",
       "      <td>79.7</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>54.0667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>66.3</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>120.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>55.9</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1875</th>\n",
       "      <td>2274</td>\n",
       "      <td>87.2</td>\n",
       "      <td>52.5333</td>\n",
       "      <td>85.8</td>\n",
       "      <td>77.1</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>51.1333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>64.9</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>122.833</td>\n",
       "      <td>94.3667</td>\n",
       "      <td>61.7333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1876</th>\n",
       "      <td>2275</td>\n",
       "      <td>84.8</td>\n",
       "      <td>50.4667</td>\n",
       "      <td>84.9333</td>\n",
       "      <td>70.9</td>\n",
       "      <td>56.2</td>\n",
       "      <td>49.6333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>69.1667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>75.4333</td>\n",
       "      <td>127.2</td>\n",
       "      <td>98.3667</td>\n",
       "      <td>67.3333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1877</th>\n",
       "      <td>2276</td>\n",
       "      <td>83.8</td>\n",
       "      <td>53.8</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>60.0667</td>\n",
       "      <td>58.4</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>70.0333</td>\n",
       "      <td>69.8</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>76.8</td>\n",
       "      <td>120.967</td>\n",
       "      <td>100.333</td>\n",
       "      <td>66.1333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1878</th>\n",
       "      <td>2277</td>\n",
       "      <td>85.9</td>\n",
       "      <td>59.8333</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>62.8333</td>\n",
       "      <td>69.6</td>\n",
       "      <td>64.9667</td>\n",
       "      <td>71.0333</td>\n",
       "      <td>75.2333</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>80.1333</td>\n",
       "      <td>120.967</td>\n",
       "      <td>109.8</td>\n",
       "      <td>72.2667</td>\n",
       "      <td>100.867</td>\n",
       "      <td>178.2</td>\n",
       "      <td>156.3</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1879</th>\n",
       "      <td>2278</td>\n",
       "      <td>84.8667</td>\n",
       "      <td>61.3</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>71.9</td>\n",
       "      <td>63.8333</td>\n",
       "      <td>65.5333</td>\n",
       "      <td>65.1667</td>\n",
       "      <td>65.8667</td>\n",
       "      <td>74.9667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>79.9</td>\n",
       "      <td>120.967</td>\n",
       "      <td>114</td>\n",
       "      <td>70.7333</td>\n",
       "      <td>98.8667</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1880</th>\n",
       "      <td>2279</td>\n",
       "      <td>87.2333</td>\n",
       "      <td>59.4</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>74.1</td>\n",
       "      <td>62.7</td>\n",
       "      <td>47.2333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>56.6667</td>\n",
       "      <td>72.6667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>81.3333</td>\n",
       "      <td>120.967</td>\n",
       "      <td>104.733</td>\n",
       "      <td>60.4333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>2280</td>\n",
       "      <td>85.5667</td>\n",
       "      <td>58.9</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>74.9333</td>\n",
       "      <td>58.7667</td>\n",
       "      <td>44.6333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>56.6667</td>\n",
       "      <td>75.3333</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>80.9</td>\n",
       "      <td>120.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>59.1333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1882</th>\n",
       "      <td>2281</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>60.3667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>75.6</td>\n",
       "      <td>53.6667</td>\n",
       "      <td>52.4667</td>\n",
       "      <td>68.0667</td>\n",
       "      <td>62.5333</td>\n",
       "      <td>72.5667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>129.833</td>\n",
       "      <td>80.9333</td>\n",
       "      <td>124.1</td>\n",
       "      <td>92.4</td>\n",
       "      <td>53.7</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1883</th>\n",
       "      <td>2282</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>61.9667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>76.3333</td>\n",
       "      <td>56.5667</td>\n",
       "      <td>58.6667</td>\n",
       "      <td>70.9333</td>\n",
       "      <td>64.5333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>78.9</td>\n",
       "      <td>126.933</td>\n",
       "      <td>92.4</td>\n",
       "      <td>60.8</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1884</th>\n",
       "      <td>2283</td>\n",
       "      <td>79.3667</td>\n",
       "      <td>62.5333</td>\n",
       "      <td>82.1667</td>\n",
       "      <td>77.9333</td>\n",
       "      <td>60.0333</td>\n",
       "      <td>50.7333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>59.2667</td>\n",
       "      <td>71.6667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>125.233</td>\n",
       "      <td>92.4</td>\n",
       "      <td>72.4667</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>153.5</td>\n",
       "      <td>116.933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1885</th>\n",
       "      <td>2284</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>87.1333</td>\n",
       "      <td>75.9</td>\n",
       "      <td>61.3667</td>\n",
       "      <td>48.0667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>61.1333</td>\n",
       "      <td>75.7</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>120.967</td>\n",
       "      <td>97.3667</td>\n",
       "      <td>77.1667</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>155.8</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1886</th>\n",
       "      <td>2285</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>57.8333</td>\n",
       "      <td>91.2</td>\n",
       "      <td>77.3333</td>\n",
       "      <td>57.1333</td>\n",
       "      <td>47.2667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>66.1</td>\n",
       "      <td>73.1</td>\n",
       "      <td>...</td>\n",
       "      <td>119.1</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>123.933</td>\n",
       "      <td>101.533</td>\n",
       "      <td>57.1667</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>156.8</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1887</th>\n",
       "      <td>2286</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>55.1</td>\n",
       "      <td>92.5667</td>\n",
       "      <td>75.8333</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>51.6667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>71.1333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>137.033</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>129.733</td>\n",
       "      <td>101.9</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>159.233</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1888</th>\n",
       "      <td>2287</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>55.9</td>\n",
       "      <td>87.3333</td>\n",
       "      <td>70.9</td>\n",
       "      <td>54.1333</td>\n",
       "      <td>48.8</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>71.9333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>117.967</td>\n",
       "      <td>127.667</td>\n",
       "      <td>70.6</td>\n",
       "      <td>131.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889</th>\n",
       "      <td>2288</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>58.6667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>71.8</td>\n",
       "      <td>59.7</td>\n",
       "      <td>48.0333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>68.6333</td>\n",
       "      <td>69.7</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>130.2</td>\n",
       "      <td>72.6</td>\n",
       "      <td>130.133</td>\n",
       "      <td>92.4</td>\n",
       "      <td>54.8333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890</th>\n",
       "      <td>2289</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>57.4</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>73.1333</td>\n",
       "      <td>63.0333</td>\n",
       "      <td>44.6333</td>\n",
       "      <td>62.4667</td>\n",
       "      <td>61.5</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>75.3</td>\n",
       "      <td>120.967</td>\n",
       "      <td>95.7667</td>\n",
       "      <td>59.2333</td>\n",
       "      <td>95.8</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1891</th>\n",
       "      <td>2290</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>54.5</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>78.7</td>\n",
       "      <td>63.4667</td>\n",
       "      <td>45.8667</td>\n",
       "      <td>64.9333</td>\n",
       "      <td>62.5667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>82.8667</td>\n",
       "      <td>120.967</td>\n",
       "      <td>100.5</td>\n",
       "      <td>66.3667</td>\n",
       "      <td>102.7</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1892</th>\n",
       "      <td>2291</td>\n",
       "      <td>79.5</td>\n",
       "      <td>54.5667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>86.6333</td>\n",
       "      <td>61.8</td>\n",
       "      <td>46.6333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>63.2333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>80.4333</td>\n",
       "      <td>120.967</td>\n",
       "      <td>99.6</td>\n",
       "      <td>67.9</td>\n",
       "      <td>97.0667</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1893</th>\n",
       "      <td>2292</td>\n",
       "      <td>83.1</td>\n",
       "      <td>56.6</td>\n",
       "      <td>84.7</td>\n",
       "      <td>93.8</td>\n",
       "      <td>62.7</td>\n",
       "      <td>47.1</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>69.5333</td>\n",
       "      <td>68.6</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>128.1</td>\n",
       "      <td>99.4333</td>\n",
       "      <td>69.5333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>157.2</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1894</th>\n",
       "      <td>2293</td>\n",
       "      <td>81.0667</td>\n",
       "      <td>56.8</td>\n",
       "      <td>84.4667</td>\n",
       "      <td>89.2667</td>\n",
       "      <td>57.7667</td>\n",
       "      <td>46.7667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>68.5333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>72.7667</td>\n",
       "      <td>131.233</td>\n",
       "      <td>104.767</td>\n",
       "      <td>68.5</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>158.267</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1895</th>\n",
       "      <td>2294</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>59.9333</td>\n",
       "      <td>84.3</td>\n",
       "      <td>74.1</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>51.1667</td>\n",
       "      <td>63.8667</td>\n",
       "      <td>61.7667</td>\n",
       "      <td>73</td>\n",
       "      <td>...</td>\n",
       "      <td>99.4667</td>\n",
       "      <td>130.667</td>\n",
       "      <td>78.4667</td>\n",
       "      <td>130.733</td>\n",
       "      <td>103.2</td>\n",
       "      <td>68.0667</td>\n",
       "      <td>98.6333</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>118.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1896</th>\n",
       "      <td>2295</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>59.5667</td>\n",
       "      <td>80.4</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>54.2667</td>\n",
       "      <td>65.8667</td>\n",
       "      <td>58.8667</td>\n",
       "      <td>76.1333</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>133.867</td>\n",
       "      <td>78.9</td>\n",
       "      <td>124.8</td>\n",
       "      <td>92.4</td>\n",
       "      <td>65.9333</td>\n",
       "      <td>102</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>119.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1897</th>\n",
       "      <td>2296</td>\n",
       "      <td>81.3667</td>\n",
       "      <td>57.3667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>72.8</td>\n",
       "      <td>59.4</td>\n",
       "      <td>55.3667</td>\n",
       "      <td>62.0333</td>\n",
       "      <td>66.7</td>\n",
       "      <td>73.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>101.8</td>\n",
       "      <td>134.6</td>\n",
       "      <td>70.6</td>\n",
       "      <td>134.533</td>\n",
       "      <td>92.4</td>\n",
       "      <td>60</td>\n",
       "      <td>107.733</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1898</th>\n",
       "      <td>2297</td>\n",
       "      <td>81.4333</td>\n",
       "      <td>54.2667</td>\n",
       "      <td>80.3667</td>\n",
       "      <td>74.1333</td>\n",
       "      <td>68.6</td>\n",
       "      <td>53.6</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>71</td>\n",
       "      <td>70.3</td>\n",
       "      <td>...</td>\n",
       "      <td>103.067</td>\n",
       "      <td>133.6</td>\n",
       "      <td>70.6</td>\n",
       "      <td>136.3</td>\n",
       "      <td>92.4</td>\n",
       "      <td>55.2</td>\n",
       "      <td>103.5</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1899</th>\n",
       "      <td>2298</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>49.2</td>\n",
       "      <td>80.6667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>74.5</td>\n",
       "      <td>51.2667</td>\n",
       "      <td>64.3333</td>\n",
       "      <td>67.2</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>130.8</td>\n",
       "      <td>78.7667</td>\n",
       "      <td>128.467</td>\n",
       "      <td>97.7333</td>\n",
       "      <td>54.6</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>121.833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1900</th>\n",
       "      <td>2299</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>50.2667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>74.5333</td>\n",
       "      <td>49.7</td>\n",
       "      <td>66.9</td>\n",
       "      <td>59.8667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>85.5333</td>\n",
       "      <td>136.733</td>\n",
       "      <td>106</td>\n",
       "      <td>53.2333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1901</th>\n",
       "      <td>2300</td>\n",
       "      <td>78.6333</td>\n",
       "      <td>54.9333</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>68.1667</td>\n",
       "      <td>51.8333</td>\n",
       "      <td>60.0333</td>\n",
       "      <td>60.9667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>83.0667</td>\n",
       "      <td>133.3</td>\n",
       "      <td>109.8</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>104.433</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1902 rows × 80 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     wavenumber    Pro 2    Pro 3    Pro 4    Pro 5    Pro 6   Pro 11  \\\n",
       "0            PN        P        P        P        P        P        P   \n",
       "1           400  291.167  160.067  360.333  251.633    237.8  154.833   \n",
       "2           401  289.767      163  360.067  260.333    244.3  153.967   \n",
       "3           402  286.933  164.767  360.467  260.167    249.1  155.767   \n",
       "4           403  283.667  166.233    361.1    257.3  253.367  158.267   \n",
       "5           404    280.4  167.533  361.967    253.7  256.967  160.767   \n",
       "6           405  277.133    168.3  363.733    247.5    257.7  162.967   \n",
       "7           406  273.867  168.333  366.733  237.933    254.8  164.833   \n",
       "8           407  270.633  168.133  370.033    227.3  250.733    166.6   \n",
       "9           408  268.167    167.5  373.167      218  247.733  168.367   \n",
       "10          409    269.2      165  375.267  215.167  249.733  170.233   \n",
       "11          410  275.433    159.7  375.967  221.833    259.3  172.333   \n",
       "12          411  283.367  153.467  376.133  231.567    271.2    174.5   \n",
       "13          412  290.667    147.7  376.033  240.333    281.7    176.4   \n",
       "14          413  294.167  144.333  374.667  243.367  284.333  177.133   \n",
       "15          414    291.3    145.2    371.2  236.633    273.5  175.833   \n",
       "16          415  286.267  147.333  366.967    226.5    258.2  173.833   \n",
       "17          416  280.633    149.5    362.5  216.733  243.133  171.767   \n",
       "18          417    272.5  151.033  357.067  209.767  230.933  169.367   \n",
       "19          418    259.4  151.367  349.667    208.1    224.3  166.333   \n",
       "20          419  244.533  151.267  341.533  208.267  219.567  163.067   \n",
       "21          420    229.9  150.967      333    208.6  215.033  159.767   \n",
       "22          421  217.267  149.233    321.2  209.933  211.433  156.267   \n",
       "23          422    209.1  144.533    302.2  213.167  209.767    152.3   \n",
       "24          423  202.467    138.7  280.733    217.1  208.767  148.133   \n",
       "25          424  196.167      133  259.467    220.8  207.667  144.067   \n",
       "26          425    192.3    129.1    242.4  221.467  204.833  140.933   \n",
       "27          426  194.433  129.467  235.233    214.8  197.767  140.167   \n",
       "28          427    198.7  131.433  231.733    205.5  189.167  140.233   \n",
       "29          428      203    133.3    228.4    196.2    180.5  140.367   \n",
       "...         ...      ...      ...      ...      ...      ...      ...   \n",
       "1872       2271  87.8333     50.5  79.7667     84.2  57.7333     58.7   \n",
       "1873       2272  90.7667     52.9  81.4667     82.5  52.0667  54.3667   \n",
       "1874       2273     93.5  54.4667  84.4333     79.7  52.0667  54.0667   \n",
       "1875       2274     87.2  52.5333     85.8     77.1  52.0667  51.1333   \n",
       "1876       2275     84.8  50.4667  84.9333     70.9     56.2  49.6333   \n",
       "1877       2276     83.8     53.8  79.7667     70.9  60.0667     58.4   \n",
       "1878       2277     85.9  59.8333  79.7667     70.9  62.8333     69.6   \n",
       "1879       2278  84.8667     61.3  79.7667     71.9  63.8333  65.5333   \n",
       "1880       2279  87.2333     59.4  79.7667     74.1     62.7  47.2333   \n",
       "1881       2280  85.5667     58.9  79.7667  74.9333  58.7667  44.6333   \n",
       "1882       2281  78.6333  60.3667  79.7667     75.6  53.6667  52.4667   \n",
       "1883       2282  78.6333  61.9667  79.7667  76.3333  56.5667  58.6667   \n",
       "1884       2283  79.3667  62.5333  82.1667  77.9333  60.0333  50.7333   \n",
       "1885       2284  78.6333  64.0667  87.1333     75.9  61.3667  48.0667   \n",
       "1886       2285  78.6333  57.8333     91.2  77.3333  57.1333  47.2667   \n",
       "1887       2286  78.6333     55.1  92.5667  75.8333  52.0667  51.6667   \n",
       "1888       2287  78.6333     55.9  87.3333     70.9  54.1333     48.8   \n",
       "1889       2288  78.6333  58.6667  79.7667     71.8     59.7  48.0333   \n",
       "1890       2289  78.6333     57.4  79.7667  73.1333  63.0333  44.6333   \n",
       "1891       2290  78.6333     54.5  79.7667     78.7  63.4667  45.8667   \n",
       "1892       2291     79.5  54.5667  79.7667  86.6333     61.8  46.6333   \n",
       "1893       2292     83.1     56.6     84.7     93.8     62.7     47.1   \n",
       "1894       2293  81.0667     56.8  84.4667  89.2667  57.7667  46.7667   \n",
       "1895       2294  78.6333  59.9333     84.3     74.1  52.0667  51.1667   \n",
       "1896       2295  78.6333  59.5667     80.4     70.9  52.0667  54.2667   \n",
       "1897       2296  81.3667  57.3667  79.7667     72.8     59.4  55.3667   \n",
       "1898       2297  81.4333  54.2667  80.3667  74.1333     68.6     53.6   \n",
       "1899       2298  78.6333     49.2  80.6667     70.9     74.5  51.2667   \n",
       "1900       2299  78.6333  50.2667  79.7667     70.9  74.5333     49.7   \n",
       "1901       2300  78.6333  54.9333  79.7667     70.9  68.1667  51.8333   \n",
       "\n",
       "       Pro 12   Pro 24   Pro 25  ... Normal 24 Normal 25 Normal 26 Normal 27  \\\n",
       "0           P        P        P  ...         N         N         N         N   \n",
       "1     357.333      236  319.167  ...   642.133   543.767   344.033   457.967   \n",
       "2     356.367    233.5    319.1  ...   643.067   549.867     345.5     447.1   \n",
       "3     345.033  227.833  320.367  ...     612.9   568.133   339.867     428.1   \n",
       "4       330.7    221.3  322.133  ...   573.667   589.967   332.267     406.8   \n",
       "5     318.533    215.7  323.467  ...     538.8   609.767   326.233   388.167   \n",
       "6     315.933  213.933  322.967  ...   523.833     620.5     327.3     381.2   \n",
       "7       325.9  217.333  320.167  ...     534.9   619.267   337.633     389.5   \n",
       "8     339.733  222.333    316.7  ...   554.033   614.333     350.8   402.533   \n",
       "9     353.033  226.533    313.1  ...   571.733   609.333     360.9   414.133   \n",
       "10      363.3  227.033  309.233  ...   581.367   605.033   356.367       418   \n",
       "11      368.9    221.9    305.1  ...   578.733     601.7   330.067   410.333   \n",
       "12    372.933  214.967    300.8  ...   572.133   598.667   296.733   398.967   \n",
       "13    375.933    208.5    296.4  ...     564.2     594.4     266.3       388   \n",
       "14    373.667    205.2    291.4  ...   550.333     583.6   252.867   380.167   \n",
       "15      362.6    207.2  285.267  ...   526.333   561.733   268.267   377.633   \n",
       "16      348.5    210.9  278.767  ...   498.933   536.167     293.3   376.867   \n",
       "17    334.433  214.067      272  ...     473.1   510.767   316.967     375.5   \n",
       "18    321.233  212.767  263.233  ...   457.767   487.833   329.133   370.067   \n",
       "19    309.633  202.933  250.767  ...     462.6   469.533     319.1   356.867   \n",
       "20      298.6    190.2  237.033  ...     474.5   452.867     301.4     340.9   \n",
       "21    287.667    177.8    223.4  ...   485.467   436.933   283.833     325.4   \n",
       "22    277.433  169.067  210.967  ...     486.9   425.833   269.767   314.567   \n",
       "23    268.667    168.3  201.133  ...   467.733   425.367   263.567     313.9   \n",
       "24      260.4  170.367  192.167  ...     441.2     428.7   260.033   316.733   \n",
       "25      252.2  172.567  183.667  ...     415.2     431.8   256.533     319.5   \n",
       "26      243.8  174.333  178.767  ...   399.033   431.567   251.767   318.833   \n",
       "27    235.133  175.033    182.7  ...   406.767   423.067     243.9   310.033   \n",
       "28    226.333    175.4    189.8  ...   423.033   411.567     234.9   298.267   \n",
       "29    217.667  175.667    196.9  ...   439.467   399.867   225.967     286.4   \n",
       "...       ...      ...      ...  ...       ...       ...       ...       ...   \n",
       "1872     62.3  82.5667  67.7667  ...   98.4667   127.433   82.1333   123.633   \n",
       "1873  59.6667  75.4667  67.7667  ...   98.4667     128.8      70.6   120.967   \n",
       "1874  59.6667     66.3  67.7667  ...   98.4667   127.433      70.6   120.967   \n",
       "1875  59.6667     64.9  67.7667  ...   98.4667   127.433      70.6   122.833   \n",
       "1876  59.6667  69.1667  67.7667  ...   98.4667   127.433   75.4333     127.2   \n",
       "1877  59.6667  70.0333     69.8  ...   98.4667   127.433      76.8   120.967   \n",
       "1878  64.9667  71.0333  75.2333  ...   98.4667   127.433   80.1333   120.967   \n",
       "1879  65.1667  65.8667  74.9667  ...   98.4667   127.433      79.9   120.967   \n",
       "1880  59.6667  56.6667  72.6667  ...   98.4667   127.433   81.3333   120.967   \n",
       "1881  59.6667  56.6667  75.3333  ...   98.4667   127.433      80.9   120.967   \n",
       "1882  68.0667  62.5333  72.5667  ...   98.4667   129.833   80.9333     124.1   \n",
       "1883  70.9333  64.5333  67.7667  ...   98.4667   127.433      78.9   126.933   \n",
       "1884  59.6667  59.2667  71.6667  ...   98.4667   127.433      70.6   125.233   \n",
       "1885  59.6667  61.1333     75.7  ...   98.4667   127.433      70.6   120.967   \n",
       "1886  59.6667     66.1     73.1  ...     119.1   127.433      70.6   123.933   \n",
       "1887  59.6667  71.1333  67.7667  ...   137.033   127.433      70.6   129.733   \n",
       "1888  59.6667  71.9333  67.7667  ...   117.967   127.667      70.6   131.967   \n",
       "1889  59.6667  68.6333     69.7  ...   98.4667     130.2      72.6   130.133   \n",
       "1890  62.4667     61.5  67.7667  ...   98.4667   127.433      75.3   120.967   \n",
       "1891  64.9333  62.5667  67.7667  ...   98.4667   127.433   82.8667   120.967   \n",
       "1892  59.6667  63.2333  67.7667  ...   98.4667   127.433   80.4333   120.967   \n",
       "1893  59.6667  69.5333     68.6  ...   98.4667   127.433      70.6     128.1   \n",
       "1894  59.6667  68.5333  67.7667  ...   98.4667   127.433   72.7667   131.233   \n",
       "1895  63.8667  61.7667       73  ...   99.4667   130.667   78.4667   130.733   \n",
       "1896  65.8667  58.8667  76.1333  ...   98.4667   133.867      78.9     124.8   \n",
       "1897  62.0333     66.7  73.7667  ...     101.8     134.6      70.6   134.533   \n",
       "1898  59.6667       71     70.3  ...   103.067     133.6      70.6     136.3   \n",
       "1899  64.3333     67.2  67.7667  ...   98.4667     130.8   78.7667   128.467   \n",
       "1900     66.9  59.8667  67.7667  ...   98.4667   127.433   85.5333   136.733   \n",
       "1901  60.0333  60.9667  67.7667  ...   98.4667   127.433   83.0667     133.3   \n",
       "\n",
       "     Normal 28.1 Normal 29 Normal 30.1 Normal 31.1 Normal 17 Normal 32  \n",
       "0              N         N           N           N         N         N  \n",
       "1        648.067   152.067     747.033     1042.83     827.9     553.4  \n",
       "2        653.367   158.433     756.367      1039.8   829.067   556.133  \n",
       "3        646.467   155.267     745.033      1011.4   813.067     555.2  \n",
       "4          635.9     149.2     727.433     975.567   791.933   553.233  \n",
       "5          625.5   143.133       710.5     942.567     771.5   551.033  \n",
       "6        616.233   137.433     697.533         923     755.3   548.133  \n",
       "7        608.433   132.167     689.767     920.733   744.467   544.367  \n",
       "8        601.133     127.1     683.567     924.067   735.367   540.333  \n",
       "9        594.967   122.867     678.367     928.667     726.5   536.433  \n",
       "10         593.6   122.767     677.033         938   718.667     533.6  \n",
       "11         599.4     128.7     681.567       954.4     712.3   532.133  \n",
       "12       607.533     136.6       687.9     972.967   706.433   531.133  \n",
       "13       614.667   144.333     693.333       988.9   699.733   529.233  \n",
       "14       616.167     150.7     693.267     989.967   688.833   522.267  \n",
       "15       607.933   154.667       683.8     965.933   670.767   506.867  \n",
       "16         596.5   157.867     671.167     933.467   650.333   488.633  \n",
       "17         585.2   160.467     657.767       900.4   630.433   470.867  \n",
       "18       576.333   159.633     640.533     866.267   614.867   457.067  \n",
       "19         571.9   152.167     615.867     830.167   607.567   450.767  \n",
       "20       569.067   142.433     588.633     793.367   603.167     447.1  \n",
       "21       566.033   132.733     562.167       757.1     598.4   442.833  \n",
       "22       561.267   124.633     542.733     725.267   589.467     433.1  \n",
       "23       552.633   119.933     538.633       702.9     571.7   411.467  \n",
       "24         542.6   116.367       539.9         684   550.733   385.633  \n",
       "25       532.733       113     541.567     665.333   530.167   360.233  \n",
       "26       525.133   110.567     544.333     647.867   514.867   341.833  \n",
       "27         523.1   110.467     549.767     633.133     512.5   340.367  \n",
       "28       523.033   111.233     556.233     619.467   514.767   345.033  \n",
       "29           523       112     562.533     605.633   517.167   350.033  \n",
       "...          ...       ...         ...         ...       ...       ...  \n",
       "1872     99.2333   49.3333        93.2       178.2   152.167   122.833  \n",
       "1873        92.4   51.1667        93.2       178.2   152.167   114.533  \n",
       "1874        92.4      55.9        93.2       178.2   152.167   114.533  \n",
       "1875     94.3667   61.7333        93.2       178.2   152.167   114.533  \n",
       "1876     98.3667   67.3333        93.2       178.2   152.167   114.533  \n",
       "1877     100.333   66.1333        93.2       178.2   152.167   114.533  \n",
       "1878       109.8   72.2667     100.867       178.2     156.3   114.533  \n",
       "1879         114   70.7333     98.8667       178.2   152.167   114.533  \n",
       "1880     104.733   60.4333        93.2       178.2   152.167   114.533  \n",
       "1881        92.4   59.1333        93.2       178.2   152.167   114.533  \n",
       "1882        92.4      53.7        93.2       178.2   152.167   114.533  \n",
       "1883        92.4      60.8        93.2       178.2   152.167   114.533  \n",
       "1884        92.4   72.4667        93.2       178.2     153.5   116.933  \n",
       "1885     97.3667   77.1667        93.2       178.2     155.8   114.533  \n",
       "1886     101.533   57.1667        93.2       178.2     156.8   114.533  \n",
       "1887       101.9   49.3333        93.2       178.2   159.233   114.533  \n",
       "1888        92.4   49.3333        93.2       178.2   152.167   114.533  \n",
       "1889        92.4   54.8333        93.2       178.2   152.167   114.533  \n",
       "1890     95.7667   59.2333        95.8       178.2   152.167   114.533  \n",
       "1891       100.5   66.3667       102.7       178.2   152.167   114.533  \n",
       "1892        99.6      67.9     97.0667       178.2   152.167   114.533  \n",
       "1893     99.4333   69.5333        93.2       178.2     157.2   114.533  \n",
       "1894     104.767      68.5        93.2       178.2   158.267   114.533  \n",
       "1895       103.2   68.0667     98.6333       178.2   152.167   118.033  \n",
       "1896        92.4   65.9333         102       178.2   152.167     119.2  \n",
       "1897        92.4        60     107.733       178.2   152.167   114.533  \n",
       "1898        92.4      55.2       103.5       178.2   152.167   114.533  \n",
       "1899     97.7333      54.6        93.2       178.2   152.167   121.833  \n",
       "1900         106   53.2333        93.2       178.2   152.167       126  \n",
       "1901       109.8   49.3333     104.433       178.2   152.167   114.533  \n",
       "\n",
       "[1902 rows x 80 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Pro 2</th>\n",
       "      <th>Pro 3</th>\n",
       "      <th>Pro 4</th>\n",
       "      <th>Pro 5</th>\n",
       "      <th>Pro 6</th>\n",
       "      <th>Pro 11</th>\n",
       "      <th>Pro 12</th>\n",
       "      <th>Pro 24</th>\n",
       "      <th>Pro 25</th>\n",
       "      <th>Pro 26</th>\n",
       "      <th>...</th>\n",
       "      <th>Normal 24</th>\n",
       "      <th>Normal 25</th>\n",
       "      <th>Normal 26</th>\n",
       "      <th>Normal 27</th>\n",
       "      <th>Normal 28.1</th>\n",
       "      <th>Normal 29</th>\n",
       "      <th>Normal 30.1</th>\n",
       "      <th>Normal 31.1</th>\n",
       "      <th>Normal 17</th>\n",
       "      <th>Normal 32</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>291.167</td>\n",
       "      <td>160.067</td>\n",
       "      <td>360.333</td>\n",
       "      <td>251.633</td>\n",
       "      <td>237.8</td>\n",
       "      <td>154.833</td>\n",
       "      <td>357.333</td>\n",
       "      <td>236</td>\n",
       "      <td>319.167</td>\n",
       "      <td>267.833</td>\n",
       "      <td>...</td>\n",
       "      <td>642.133</td>\n",
       "      <td>543.767</td>\n",
       "      <td>344.033</td>\n",
       "      <td>457.967</td>\n",
       "      <td>648.067</td>\n",
       "      <td>152.067</td>\n",
       "      <td>747.033</td>\n",
       "      <td>1042.83</td>\n",
       "      <td>827.9</td>\n",
       "      <td>553.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>289.767</td>\n",
       "      <td>163</td>\n",
       "      <td>360.067</td>\n",
       "      <td>260.333</td>\n",
       "      <td>244.3</td>\n",
       "      <td>153.967</td>\n",
       "      <td>356.367</td>\n",
       "      <td>233.5</td>\n",
       "      <td>319.1</td>\n",
       "      <td>269.5</td>\n",
       "      <td>...</td>\n",
       "      <td>643.067</td>\n",
       "      <td>549.867</td>\n",
       "      <td>345.5</td>\n",
       "      <td>447.1</td>\n",
       "      <td>653.367</td>\n",
       "      <td>158.433</td>\n",
       "      <td>756.367</td>\n",
       "      <td>1039.8</td>\n",
       "      <td>829.067</td>\n",
       "      <td>556.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>286.933</td>\n",
       "      <td>164.767</td>\n",
       "      <td>360.467</td>\n",
       "      <td>260.167</td>\n",
       "      <td>249.1</td>\n",
       "      <td>155.767</td>\n",
       "      <td>345.033</td>\n",
       "      <td>227.833</td>\n",
       "      <td>320.367</td>\n",
       "      <td>271.5</td>\n",
       "      <td>...</td>\n",
       "      <td>612.9</td>\n",
       "      <td>568.133</td>\n",
       "      <td>339.867</td>\n",
       "      <td>428.1</td>\n",
       "      <td>646.467</td>\n",
       "      <td>155.267</td>\n",
       "      <td>745.033</td>\n",
       "      <td>1011.4</td>\n",
       "      <td>813.067</td>\n",
       "      <td>555.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>283.667</td>\n",
       "      <td>166.233</td>\n",
       "      <td>361.1</td>\n",
       "      <td>257.3</td>\n",
       "      <td>253.367</td>\n",
       "      <td>158.267</td>\n",
       "      <td>330.7</td>\n",
       "      <td>221.3</td>\n",
       "      <td>322.133</td>\n",
       "      <td>273.567</td>\n",
       "      <td>...</td>\n",
       "      <td>573.667</td>\n",
       "      <td>589.967</td>\n",
       "      <td>332.267</td>\n",
       "      <td>406.8</td>\n",
       "      <td>635.9</td>\n",
       "      <td>149.2</td>\n",
       "      <td>727.433</td>\n",
       "      <td>975.567</td>\n",
       "      <td>791.933</td>\n",
       "      <td>553.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>280.4</td>\n",
       "      <td>167.533</td>\n",
       "      <td>361.967</td>\n",
       "      <td>253.7</td>\n",
       "      <td>256.967</td>\n",
       "      <td>160.767</td>\n",
       "      <td>318.533</td>\n",
       "      <td>215.7</td>\n",
       "      <td>323.467</td>\n",
       "      <td>275.433</td>\n",
       "      <td>...</td>\n",
       "      <td>538.8</td>\n",
       "      <td>609.767</td>\n",
       "      <td>326.233</td>\n",
       "      <td>388.167</td>\n",
       "      <td>625.5</td>\n",
       "      <td>143.133</td>\n",
       "      <td>710.5</td>\n",
       "      <td>942.567</td>\n",
       "      <td>771.5</td>\n",
       "      <td>551.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>277.133</td>\n",
       "      <td>168.3</td>\n",
       "      <td>363.733</td>\n",
       "      <td>247.5</td>\n",
       "      <td>257.7</td>\n",
       "      <td>162.967</td>\n",
       "      <td>315.933</td>\n",
       "      <td>213.933</td>\n",
       "      <td>322.967</td>\n",
       "      <td>276.433</td>\n",
       "      <td>...</td>\n",
       "      <td>523.833</td>\n",
       "      <td>620.5</td>\n",
       "      <td>327.3</td>\n",
       "      <td>381.2</td>\n",
       "      <td>616.233</td>\n",
       "      <td>137.433</td>\n",
       "      <td>697.533</td>\n",
       "      <td>923</td>\n",
       "      <td>755.3</td>\n",
       "      <td>548.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>273.867</td>\n",
       "      <td>168.333</td>\n",
       "      <td>366.733</td>\n",
       "      <td>237.933</td>\n",
       "      <td>254.8</td>\n",
       "      <td>164.833</td>\n",
       "      <td>325.9</td>\n",
       "      <td>217.333</td>\n",
       "      <td>320.167</td>\n",
       "      <td>276.3</td>\n",
       "      <td>...</td>\n",
       "      <td>534.9</td>\n",
       "      <td>619.267</td>\n",
       "      <td>337.633</td>\n",
       "      <td>389.5</td>\n",
       "      <td>608.433</td>\n",
       "      <td>132.167</td>\n",
       "      <td>689.767</td>\n",
       "      <td>920.733</td>\n",
       "      <td>744.467</td>\n",
       "      <td>544.367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>270.633</td>\n",
       "      <td>168.133</td>\n",
       "      <td>370.033</td>\n",
       "      <td>227.3</td>\n",
       "      <td>250.733</td>\n",
       "      <td>166.6</td>\n",
       "      <td>339.733</td>\n",
       "      <td>222.333</td>\n",
       "      <td>316.7</td>\n",
       "      <td>275.8</td>\n",
       "      <td>...</td>\n",
       "      <td>554.033</td>\n",
       "      <td>614.333</td>\n",
       "      <td>350.8</td>\n",
       "      <td>402.533</td>\n",
       "      <td>601.133</td>\n",
       "      <td>127.1</td>\n",
       "      <td>683.567</td>\n",
       "      <td>924.067</td>\n",
       "      <td>735.367</td>\n",
       "      <td>540.333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>268.167</td>\n",
       "      <td>167.5</td>\n",
       "      <td>373.167</td>\n",
       "      <td>218</td>\n",
       "      <td>247.733</td>\n",
       "      <td>168.367</td>\n",
       "      <td>353.033</td>\n",
       "      <td>226.533</td>\n",
       "      <td>313.1</td>\n",
       "      <td>275.2</td>\n",
       "      <td>...</td>\n",
       "      <td>571.733</td>\n",
       "      <td>609.333</td>\n",
       "      <td>360.9</td>\n",
       "      <td>414.133</td>\n",
       "      <td>594.967</td>\n",
       "      <td>122.867</td>\n",
       "      <td>678.367</td>\n",
       "      <td>928.667</td>\n",
       "      <td>726.5</td>\n",
       "      <td>536.433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>269.2</td>\n",
       "      <td>165</td>\n",
       "      <td>375.267</td>\n",
       "      <td>215.167</td>\n",
       "      <td>249.733</td>\n",
       "      <td>170.233</td>\n",
       "      <td>363.3</td>\n",
       "      <td>227.033</td>\n",
       "      <td>309.233</td>\n",
       "      <td>274.133</td>\n",
       "      <td>...</td>\n",
       "      <td>581.367</td>\n",
       "      <td>605.033</td>\n",
       "      <td>356.367</td>\n",
       "      <td>418</td>\n",
       "      <td>593.6</td>\n",
       "      <td>122.767</td>\n",
       "      <td>677.033</td>\n",
       "      <td>938</td>\n",
       "      <td>718.667</td>\n",
       "      <td>533.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>275.433</td>\n",
       "      <td>159.7</td>\n",
       "      <td>375.967</td>\n",
       "      <td>221.833</td>\n",
       "      <td>259.3</td>\n",
       "      <td>172.333</td>\n",
       "      <td>368.9</td>\n",
       "      <td>221.9</td>\n",
       "      <td>305.1</td>\n",
       "      <td>272.467</td>\n",
       "      <td>...</td>\n",
       "      <td>578.733</td>\n",
       "      <td>601.7</td>\n",
       "      <td>330.067</td>\n",
       "      <td>410.333</td>\n",
       "      <td>599.4</td>\n",
       "      <td>128.7</td>\n",
       "      <td>681.567</td>\n",
       "      <td>954.4</td>\n",
       "      <td>712.3</td>\n",
       "      <td>532.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>283.367</td>\n",
       "      <td>153.467</td>\n",
       "      <td>376.133</td>\n",
       "      <td>231.567</td>\n",
       "      <td>271.2</td>\n",
       "      <td>174.5</td>\n",
       "      <td>372.933</td>\n",
       "      <td>214.967</td>\n",
       "      <td>300.8</td>\n",
       "      <td>270.6</td>\n",
       "      <td>...</td>\n",
       "      <td>572.133</td>\n",
       "      <td>598.667</td>\n",
       "      <td>296.733</td>\n",
       "      <td>398.967</td>\n",
       "      <td>607.533</td>\n",
       "      <td>136.6</td>\n",
       "      <td>687.9</td>\n",
       "      <td>972.967</td>\n",
       "      <td>706.433</td>\n",
       "      <td>531.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>290.667</td>\n",
       "      <td>147.7</td>\n",
       "      <td>376.033</td>\n",
       "      <td>240.333</td>\n",
       "      <td>281.7</td>\n",
       "      <td>176.4</td>\n",
       "      <td>375.933</td>\n",
       "      <td>208.5</td>\n",
       "      <td>296.4</td>\n",
       "      <td>268.967</td>\n",
       "      <td>...</td>\n",
       "      <td>564.2</td>\n",
       "      <td>594.4</td>\n",
       "      <td>266.3</td>\n",
       "      <td>388</td>\n",
       "      <td>614.667</td>\n",
       "      <td>144.333</td>\n",
       "      <td>693.333</td>\n",
       "      <td>988.9</td>\n",
       "      <td>699.733</td>\n",
       "      <td>529.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>294.167</td>\n",
       "      <td>144.333</td>\n",
       "      <td>374.667</td>\n",
       "      <td>243.367</td>\n",
       "      <td>284.333</td>\n",
       "      <td>177.133</td>\n",
       "      <td>373.667</td>\n",
       "      <td>205.2</td>\n",
       "      <td>291.4</td>\n",
       "      <td>268.967</td>\n",
       "      <td>...</td>\n",
       "      <td>550.333</td>\n",
       "      <td>583.6</td>\n",
       "      <td>252.867</td>\n",
       "      <td>380.167</td>\n",
       "      <td>616.167</td>\n",
       "      <td>150.7</td>\n",
       "      <td>693.267</td>\n",
       "      <td>989.967</td>\n",
       "      <td>688.833</td>\n",
       "      <td>522.267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>291.3</td>\n",
       "      <td>145.2</td>\n",
       "      <td>371.2</td>\n",
       "      <td>236.633</td>\n",
       "      <td>273.5</td>\n",
       "      <td>175.833</td>\n",
       "      <td>362.6</td>\n",
       "      <td>207.2</td>\n",
       "      <td>285.267</td>\n",
       "      <td>271.6</td>\n",
       "      <td>...</td>\n",
       "      <td>526.333</td>\n",
       "      <td>561.733</td>\n",
       "      <td>268.267</td>\n",
       "      <td>377.633</td>\n",
       "      <td>607.933</td>\n",
       "      <td>154.667</td>\n",
       "      <td>683.8</td>\n",
       "      <td>965.933</td>\n",
       "      <td>670.767</td>\n",
       "      <td>506.867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>286.267</td>\n",
       "      <td>147.333</td>\n",
       "      <td>366.967</td>\n",
       "      <td>226.5</td>\n",
       "      <td>258.2</td>\n",
       "      <td>173.833</td>\n",
       "      <td>348.5</td>\n",
       "      <td>210.9</td>\n",
       "      <td>278.767</td>\n",
       "      <td>275.133</td>\n",
       "      <td>...</td>\n",
       "      <td>498.933</td>\n",
       "      <td>536.167</td>\n",
       "      <td>293.3</td>\n",
       "      <td>376.867</td>\n",
       "      <td>596.5</td>\n",
       "      <td>157.867</td>\n",
       "      <td>671.167</td>\n",
       "      <td>933.467</td>\n",
       "      <td>650.333</td>\n",
       "      <td>488.633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>280.633</td>\n",
       "      <td>149.5</td>\n",
       "      <td>362.5</td>\n",
       "      <td>216.733</td>\n",
       "      <td>243.133</td>\n",
       "      <td>171.767</td>\n",
       "      <td>334.433</td>\n",
       "      <td>214.067</td>\n",
       "      <td>272</td>\n",
       "      <td>278.1</td>\n",
       "      <td>...</td>\n",
       "      <td>473.1</td>\n",
       "      <td>510.767</td>\n",
       "      <td>316.967</td>\n",
       "      <td>375.5</td>\n",
       "      <td>585.2</td>\n",
       "      <td>160.467</td>\n",
       "      <td>657.767</td>\n",
       "      <td>900.4</td>\n",
       "      <td>630.433</td>\n",
       "      <td>470.867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>272.5</td>\n",
       "      <td>151.033</td>\n",
       "      <td>357.067</td>\n",
       "      <td>209.767</td>\n",
       "      <td>230.933</td>\n",
       "      <td>169.367</td>\n",
       "      <td>321.233</td>\n",
       "      <td>212.767</td>\n",
       "      <td>263.233</td>\n",
       "      <td>277</td>\n",
       "      <td>...</td>\n",
       "      <td>457.767</td>\n",
       "      <td>487.833</td>\n",
       "      <td>329.133</td>\n",
       "      <td>370.067</td>\n",
       "      <td>576.333</td>\n",
       "      <td>159.633</td>\n",
       "      <td>640.533</td>\n",
       "      <td>866.267</td>\n",
       "      <td>614.867</td>\n",
       "      <td>457.067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>259.4</td>\n",
       "      <td>151.367</td>\n",
       "      <td>349.667</td>\n",
       "      <td>208.1</td>\n",
       "      <td>224.3</td>\n",
       "      <td>166.333</td>\n",
       "      <td>309.633</td>\n",
       "      <td>202.933</td>\n",
       "      <td>250.767</td>\n",
       "      <td>268.2</td>\n",
       "      <td>...</td>\n",
       "      <td>462.6</td>\n",
       "      <td>469.533</td>\n",
       "      <td>319.1</td>\n",
       "      <td>356.867</td>\n",
       "      <td>571.9</td>\n",
       "      <td>152.167</td>\n",
       "      <td>615.867</td>\n",
       "      <td>830.167</td>\n",
       "      <td>607.567</td>\n",
       "      <td>450.767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>244.533</td>\n",
       "      <td>151.267</td>\n",
       "      <td>341.533</td>\n",
       "      <td>208.267</td>\n",
       "      <td>219.567</td>\n",
       "      <td>163.067</td>\n",
       "      <td>298.6</td>\n",
       "      <td>190.2</td>\n",
       "      <td>237.033</td>\n",
       "      <td>256.767</td>\n",
       "      <td>...</td>\n",
       "      <td>474.5</td>\n",
       "      <td>452.867</td>\n",
       "      <td>301.4</td>\n",
       "      <td>340.9</td>\n",
       "      <td>569.067</td>\n",
       "      <td>142.433</td>\n",
       "      <td>588.633</td>\n",
       "      <td>793.367</td>\n",
       "      <td>603.167</td>\n",
       "      <td>447.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>229.9</td>\n",
       "      <td>150.967</td>\n",
       "      <td>333</td>\n",
       "      <td>208.6</td>\n",
       "      <td>215.033</td>\n",
       "      <td>159.767</td>\n",
       "      <td>287.667</td>\n",
       "      <td>177.8</td>\n",
       "      <td>223.4</td>\n",
       "      <td>245.533</td>\n",
       "      <td>...</td>\n",
       "      <td>485.467</td>\n",
       "      <td>436.933</td>\n",
       "      <td>283.833</td>\n",
       "      <td>325.4</td>\n",
       "      <td>566.033</td>\n",
       "      <td>132.733</td>\n",
       "      <td>562.167</td>\n",
       "      <td>757.1</td>\n",
       "      <td>598.4</td>\n",
       "      <td>442.833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>217.267</td>\n",
       "      <td>149.233</td>\n",
       "      <td>321.2</td>\n",
       "      <td>209.933</td>\n",
       "      <td>211.433</td>\n",
       "      <td>156.267</td>\n",
       "      <td>277.433</td>\n",
       "      <td>169.067</td>\n",
       "      <td>210.967</td>\n",
       "      <td>236.967</td>\n",
       "      <td>...</td>\n",
       "      <td>486.9</td>\n",
       "      <td>425.833</td>\n",
       "      <td>269.767</td>\n",
       "      <td>314.567</td>\n",
       "      <td>561.267</td>\n",
       "      <td>124.633</td>\n",
       "      <td>542.733</td>\n",
       "      <td>725.267</td>\n",
       "      <td>589.467</td>\n",
       "      <td>433.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>209.1</td>\n",
       "      <td>144.533</td>\n",
       "      <td>302.2</td>\n",
       "      <td>213.167</td>\n",
       "      <td>209.767</td>\n",
       "      <td>152.3</td>\n",
       "      <td>268.667</td>\n",
       "      <td>168.3</td>\n",
       "      <td>201.133</td>\n",
       "      <td>234.2</td>\n",
       "      <td>...</td>\n",
       "      <td>467.733</td>\n",
       "      <td>425.367</td>\n",
       "      <td>263.567</td>\n",
       "      <td>313.9</td>\n",
       "      <td>552.633</td>\n",
       "      <td>119.933</td>\n",
       "      <td>538.633</td>\n",
       "      <td>702.9</td>\n",
       "      <td>571.7</td>\n",
       "      <td>411.467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>202.467</td>\n",
       "      <td>138.7</td>\n",
       "      <td>280.733</td>\n",
       "      <td>217.1</td>\n",
       "      <td>208.767</td>\n",
       "      <td>148.133</td>\n",
       "      <td>260.4</td>\n",
       "      <td>170.367</td>\n",
       "      <td>192.167</td>\n",
       "      <td>233.533</td>\n",
       "      <td>...</td>\n",
       "      <td>441.2</td>\n",
       "      <td>428.7</td>\n",
       "      <td>260.033</td>\n",
       "      <td>316.733</td>\n",
       "      <td>542.6</td>\n",
       "      <td>116.367</td>\n",
       "      <td>539.9</td>\n",
       "      <td>684</td>\n",
       "      <td>550.733</td>\n",
       "      <td>385.633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>196.167</td>\n",
       "      <td>133</td>\n",
       "      <td>259.467</td>\n",
       "      <td>220.8</td>\n",
       "      <td>207.667</td>\n",
       "      <td>144.067</td>\n",
       "      <td>252.2</td>\n",
       "      <td>172.567</td>\n",
       "      <td>183.667</td>\n",
       "      <td>232.867</td>\n",
       "      <td>...</td>\n",
       "      <td>415.2</td>\n",
       "      <td>431.8</td>\n",
       "      <td>256.533</td>\n",
       "      <td>319.5</td>\n",
       "      <td>532.733</td>\n",
       "      <td>113</td>\n",
       "      <td>541.567</td>\n",
       "      <td>665.333</td>\n",
       "      <td>530.167</td>\n",
       "      <td>360.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>192.3</td>\n",
       "      <td>129.1</td>\n",
       "      <td>242.4</td>\n",
       "      <td>221.467</td>\n",
       "      <td>204.833</td>\n",
       "      <td>140.933</td>\n",
       "      <td>243.8</td>\n",
       "      <td>174.333</td>\n",
       "      <td>178.767</td>\n",
       "      <td>231.033</td>\n",
       "      <td>...</td>\n",
       "      <td>399.033</td>\n",
       "      <td>431.567</td>\n",
       "      <td>251.767</td>\n",
       "      <td>318.833</td>\n",
       "      <td>525.133</td>\n",
       "      <td>110.567</td>\n",
       "      <td>544.333</td>\n",
       "      <td>647.867</td>\n",
       "      <td>514.867</td>\n",
       "      <td>341.833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>194.433</td>\n",
       "      <td>129.467</td>\n",
       "      <td>235.233</td>\n",
       "      <td>214.8</td>\n",
       "      <td>197.767</td>\n",
       "      <td>140.167</td>\n",
       "      <td>235.133</td>\n",
       "      <td>175.033</td>\n",
       "      <td>182.7</td>\n",
       "      <td>226.6</td>\n",
       "      <td>...</td>\n",
       "      <td>406.767</td>\n",
       "      <td>423.067</td>\n",
       "      <td>243.9</td>\n",
       "      <td>310.033</td>\n",
       "      <td>523.1</td>\n",
       "      <td>110.467</td>\n",
       "      <td>549.767</td>\n",
       "      <td>633.133</td>\n",
       "      <td>512.5</td>\n",
       "      <td>340.367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>198.7</td>\n",
       "      <td>131.433</td>\n",
       "      <td>231.733</td>\n",
       "      <td>205.5</td>\n",
       "      <td>189.167</td>\n",
       "      <td>140.233</td>\n",
       "      <td>226.333</td>\n",
       "      <td>175.4</td>\n",
       "      <td>189.8</td>\n",
       "      <td>221.1</td>\n",
       "      <td>...</td>\n",
       "      <td>423.033</td>\n",
       "      <td>411.567</td>\n",
       "      <td>234.9</td>\n",
       "      <td>298.267</td>\n",
       "      <td>523.033</td>\n",
       "      <td>111.233</td>\n",
       "      <td>556.233</td>\n",
       "      <td>619.467</td>\n",
       "      <td>514.767</td>\n",
       "      <td>345.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>203</td>\n",
       "      <td>133.3</td>\n",
       "      <td>228.4</td>\n",
       "      <td>196.2</td>\n",
       "      <td>180.5</td>\n",
       "      <td>140.367</td>\n",
       "      <td>217.667</td>\n",
       "      <td>175.667</td>\n",
       "      <td>196.9</td>\n",
       "      <td>215.633</td>\n",
       "      <td>...</td>\n",
       "      <td>439.467</td>\n",
       "      <td>399.867</td>\n",
       "      <td>225.967</td>\n",
       "      <td>286.4</td>\n",
       "      <td>523</td>\n",
       "      <td>112</td>\n",
       "      <td>562.533</td>\n",
       "      <td>605.633</td>\n",
       "      <td>517.167</td>\n",
       "      <td>350.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>204.233</td>\n",
       "      <td>132.6</td>\n",
       "      <td>225.067</td>\n",
       "      <td>190.033</td>\n",
       "      <td>171.467</td>\n",
       "      <td>140.067</td>\n",
       "      <td>211.567</td>\n",
       "      <td>175.033</td>\n",
       "      <td>201.033</td>\n",
       "      <td>210.8</td>\n",
       "      <td>...</td>\n",
       "      <td>449.633</td>\n",
       "      <td>386.967</td>\n",
       "      <td>218.767</td>\n",
       "      <td>275.1</td>\n",
       "      <td>521.933</td>\n",
       "      <td>111.533</td>\n",
       "      <td>565.6</td>\n",
       "      <td>588</td>\n",
       "      <td>517.767</td>\n",
       "      <td>355.333</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",
       "      <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>1872</th>\n",
       "      <td>87.8333</td>\n",
       "      <td>50.5</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>84.2</td>\n",
       "      <td>57.7333</td>\n",
       "      <td>58.7</td>\n",
       "      <td>62.3</td>\n",
       "      <td>82.5667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>82.1333</td>\n",
       "      <td>123.633</td>\n",
       "      <td>99.2333</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>122.833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1873</th>\n",
       "      <td>90.7667</td>\n",
       "      <td>52.9</td>\n",
       "      <td>81.4667</td>\n",
       "      <td>82.5</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>54.3667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>75.4667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>69.3667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>128.8</td>\n",
       "      <td>70.6</td>\n",
       "      <td>120.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>51.1667</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1874</th>\n",
       "      <td>93.5</td>\n",
       "      <td>54.4667</td>\n",
       "      <td>84.4333</td>\n",
       "      <td>79.7</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>54.0667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>66.3</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>75.3667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>120.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>55.9</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1875</th>\n",
       "      <td>87.2</td>\n",
       "      <td>52.5333</td>\n",
       "      <td>85.8</td>\n",
       "      <td>77.1</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>51.1333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>64.9</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>71.1333</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>122.833</td>\n",
       "      <td>94.3667</td>\n",
       "      <td>61.7333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1876</th>\n",
       "      <td>84.8</td>\n",
       "      <td>50.4667</td>\n",
       "      <td>84.9333</td>\n",
       "      <td>70.9</td>\n",
       "      <td>56.2</td>\n",
       "      <td>49.6333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>69.1667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>75.4333</td>\n",
       "      <td>127.2</td>\n",
       "      <td>98.3667</td>\n",
       "      <td>67.3333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1877</th>\n",
       "      <td>83.8</td>\n",
       "      <td>53.8</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>60.0667</td>\n",
       "      <td>58.4</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>70.0333</td>\n",
       "      <td>69.8</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>76.8</td>\n",
       "      <td>120.967</td>\n",
       "      <td>100.333</td>\n",
       "      <td>66.1333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1878</th>\n",
       "      <td>85.9</td>\n",
       "      <td>59.8333</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>62.8333</td>\n",
       "      <td>69.6</td>\n",
       "      <td>64.9667</td>\n",
       "      <td>71.0333</td>\n",
       "      <td>75.2333</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>80.1333</td>\n",
       "      <td>120.967</td>\n",
       "      <td>109.8</td>\n",
       "      <td>72.2667</td>\n",
       "      <td>100.867</td>\n",
       "      <td>178.2</td>\n",
       "      <td>156.3</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1879</th>\n",
       "      <td>84.8667</td>\n",
       "      <td>61.3</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>71.9</td>\n",
       "      <td>63.8333</td>\n",
       "      <td>65.5333</td>\n",
       "      <td>65.1667</td>\n",
       "      <td>65.8667</td>\n",
       "      <td>74.9667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>79.9</td>\n",
       "      <td>120.967</td>\n",
       "      <td>114</td>\n",
       "      <td>70.7333</td>\n",
       "      <td>98.8667</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1880</th>\n",
       "      <td>87.2333</td>\n",
       "      <td>59.4</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>74.1</td>\n",
       "      <td>62.7</td>\n",
       "      <td>47.2333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>56.6667</td>\n",
       "      <td>72.6667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>81.3333</td>\n",
       "      <td>120.967</td>\n",
       "      <td>104.733</td>\n",
       "      <td>60.4333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1881</th>\n",
       "      <td>85.5667</td>\n",
       "      <td>58.9</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>74.9333</td>\n",
       "      <td>58.7667</td>\n",
       "      <td>44.6333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>56.6667</td>\n",
       "      <td>75.3333</td>\n",
       "      <td>66.3</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>80.9</td>\n",
       "      <td>120.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>59.1333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1882</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>60.3667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>75.6</td>\n",
       "      <td>53.6667</td>\n",
       "      <td>52.4667</td>\n",
       "      <td>68.0667</td>\n",
       "      <td>62.5333</td>\n",
       "      <td>72.5667</td>\n",
       "      <td>74.9</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>129.833</td>\n",
       "      <td>80.9333</td>\n",
       "      <td>124.1</td>\n",
       "      <td>92.4</td>\n",
       "      <td>53.7</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1883</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>61.9667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>76.3333</td>\n",
       "      <td>56.5667</td>\n",
       "      <td>58.6667</td>\n",
       "      <td>70.9333</td>\n",
       "      <td>64.5333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>79.4667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>78.9</td>\n",
       "      <td>126.933</td>\n",
       "      <td>92.4</td>\n",
       "      <td>60.8</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1884</th>\n",
       "      <td>79.3667</td>\n",
       "      <td>62.5333</td>\n",
       "      <td>82.1667</td>\n",
       "      <td>77.9333</td>\n",
       "      <td>60.0333</td>\n",
       "      <td>50.7333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>59.2667</td>\n",
       "      <td>71.6667</td>\n",
       "      <td>73.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>125.233</td>\n",
       "      <td>92.4</td>\n",
       "      <td>72.4667</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>153.5</td>\n",
       "      <td>116.933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1885</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>87.1333</td>\n",
       "      <td>75.9</td>\n",
       "      <td>61.3667</td>\n",
       "      <td>48.0667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>61.1333</td>\n",
       "      <td>75.7</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>120.967</td>\n",
       "      <td>97.3667</td>\n",
       "      <td>77.1667</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>155.8</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1886</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>57.8333</td>\n",
       "      <td>91.2</td>\n",
       "      <td>77.3333</td>\n",
       "      <td>57.1333</td>\n",
       "      <td>47.2667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>66.1</td>\n",
       "      <td>73.1</td>\n",
       "      <td>66.8</td>\n",
       "      <td>...</td>\n",
       "      <td>119.1</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>123.933</td>\n",
       "      <td>101.533</td>\n",
       "      <td>57.1667</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>156.8</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1887</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>55.1</td>\n",
       "      <td>92.5667</td>\n",
       "      <td>75.8333</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>51.6667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>71.1333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>68.6667</td>\n",
       "      <td>...</td>\n",
       "      <td>137.033</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>129.733</td>\n",
       "      <td>101.9</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>159.233</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1888</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>55.9</td>\n",
       "      <td>87.3333</td>\n",
       "      <td>70.9</td>\n",
       "      <td>54.1333</td>\n",
       "      <td>48.8</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>71.9333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>117.967</td>\n",
       "      <td>127.667</td>\n",
       "      <td>70.6</td>\n",
       "      <td>131.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1889</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>58.6667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>71.8</td>\n",
       "      <td>59.7</td>\n",
       "      <td>48.0333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>68.6333</td>\n",
       "      <td>69.7</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>130.2</td>\n",
       "      <td>72.6</td>\n",
       "      <td>130.133</td>\n",
       "      <td>92.4</td>\n",
       "      <td>54.8333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1890</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>57.4</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>73.1333</td>\n",
       "      <td>63.0333</td>\n",
       "      <td>44.6333</td>\n",
       "      <td>62.4667</td>\n",
       "      <td>61.5</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>66.1</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>75.3</td>\n",
       "      <td>120.967</td>\n",
       "      <td>95.7667</td>\n",
       "      <td>59.2333</td>\n",
       "      <td>95.8</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1891</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>54.5</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>78.7</td>\n",
       "      <td>63.4667</td>\n",
       "      <td>45.8667</td>\n",
       "      <td>64.9333</td>\n",
       "      <td>62.5667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>73.1667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>82.8667</td>\n",
       "      <td>120.967</td>\n",
       "      <td>100.5</td>\n",
       "      <td>66.3667</td>\n",
       "      <td>102.7</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1892</th>\n",
       "      <td>79.5</td>\n",
       "      <td>54.5667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>86.6333</td>\n",
       "      <td>61.8</td>\n",
       "      <td>46.6333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>63.2333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>79.6333</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>80.4333</td>\n",
       "      <td>120.967</td>\n",
       "      <td>99.6</td>\n",
       "      <td>67.9</td>\n",
       "      <td>97.0667</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1893</th>\n",
       "      <td>83.1</td>\n",
       "      <td>56.6</td>\n",
       "      <td>84.7</td>\n",
       "      <td>93.8</td>\n",
       "      <td>62.7</td>\n",
       "      <td>47.1</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>69.5333</td>\n",
       "      <td>68.6</td>\n",
       "      <td>82.4667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>128.1</td>\n",
       "      <td>99.4333</td>\n",
       "      <td>69.5333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>157.2</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1894</th>\n",
       "      <td>81.0667</td>\n",
       "      <td>56.8</td>\n",
       "      <td>84.4667</td>\n",
       "      <td>89.2667</td>\n",
       "      <td>57.7667</td>\n",
       "      <td>46.7667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>68.5333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>78.3667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>72.7667</td>\n",
       "      <td>131.233</td>\n",
       "      <td>104.767</td>\n",
       "      <td>68.5</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>158.267</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1895</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>59.9333</td>\n",
       "      <td>84.3</td>\n",
       "      <td>74.1</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>51.1667</td>\n",
       "      <td>63.8667</td>\n",
       "      <td>61.7667</td>\n",
       "      <td>73</td>\n",
       "      <td>70.7333</td>\n",
       "      <td>...</td>\n",
       "      <td>99.4667</td>\n",
       "      <td>130.667</td>\n",
       "      <td>78.4667</td>\n",
       "      <td>130.733</td>\n",
       "      <td>103.2</td>\n",
       "      <td>68.0667</td>\n",
       "      <td>98.6333</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>118.033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1896</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>59.5667</td>\n",
       "      <td>80.4</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>54.2667</td>\n",
       "      <td>65.8667</td>\n",
       "      <td>58.8667</td>\n",
       "      <td>76.1333</td>\n",
       "      <td>71.1667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>133.867</td>\n",
       "      <td>78.9</td>\n",
       "      <td>124.8</td>\n",
       "      <td>92.4</td>\n",
       "      <td>65.9333</td>\n",
       "      <td>102</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>119.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1897</th>\n",
       "      <td>81.3667</td>\n",
       "      <td>57.3667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>72.8</td>\n",
       "      <td>59.4</td>\n",
       "      <td>55.3667</td>\n",
       "      <td>62.0333</td>\n",
       "      <td>66.7</td>\n",
       "      <td>73.7667</td>\n",
       "      <td>67.1667</td>\n",
       "      <td>...</td>\n",
       "      <td>101.8</td>\n",
       "      <td>134.6</td>\n",
       "      <td>70.6</td>\n",
       "      <td>134.533</td>\n",
       "      <td>92.4</td>\n",
       "      <td>60</td>\n",
       "      <td>107.733</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1898</th>\n",
       "      <td>81.4333</td>\n",
       "      <td>54.2667</td>\n",
       "      <td>80.3667</td>\n",
       "      <td>74.1333</td>\n",
       "      <td>68.6</td>\n",
       "      <td>53.6</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>71</td>\n",
       "      <td>70.3</td>\n",
       "      <td>69.4667</td>\n",
       "      <td>...</td>\n",
       "      <td>103.067</td>\n",
       "      <td>133.6</td>\n",
       "      <td>70.6</td>\n",
       "      <td>136.3</td>\n",
       "      <td>92.4</td>\n",
       "      <td>55.2</td>\n",
       "      <td>103.5</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1899</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>49.2</td>\n",
       "      <td>80.6667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>74.5</td>\n",
       "      <td>51.2667</td>\n",
       "      <td>64.3333</td>\n",
       "      <td>67.2</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>67.2333</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>130.8</td>\n",
       "      <td>78.7667</td>\n",
       "      <td>128.467</td>\n",
       "      <td>97.7333</td>\n",
       "      <td>54.6</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>121.833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1900</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>50.2667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>74.5333</td>\n",
       "      <td>49.7</td>\n",
       "      <td>66.9</td>\n",
       "      <td>59.8667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>85.5333</td>\n",
       "      <td>136.733</td>\n",
       "      <td>106</td>\n",
       "      <td>53.2333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1901</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>54.9333</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>68.1667</td>\n",
       "      <td>51.8333</td>\n",
       "      <td>60.0333</td>\n",
       "      <td>60.9667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>83.0667</td>\n",
       "      <td>133.3</td>\n",
       "      <td>109.8</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>104.433</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1901 rows × 79 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Pro 2    Pro 3    Pro 4    Pro 5    Pro 6   Pro 11   Pro 12   Pro 24  \\\n",
       "1     291.167  160.067  360.333  251.633    237.8  154.833  357.333      236   \n",
       "2     289.767      163  360.067  260.333    244.3  153.967  356.367    233.5   \n",
       "3     286.933  164.767  360.467  260.167    249.1  155.767  345.033  227.833   \n",
       "4     283.667  166.233    361.1    257.3  253.367  158.267    330.7    221.3   \n",
       "5       280.4  167.533  361.967    253.7  256.967  160.767  318.533    215.7   \n",
       "6     277.133    168.3  363.733    247.5    257.7  162.967  315.933  213.933   \n",
       "7     273.867  168.333  366.733  237.933    254.8  164.833    325.9  217.333   \n",
       "8     270.633  168.133  370.033    227.3  250.733    166.6  339.733  222.333   \n",
       "9     268.167    167.5  373.167      218  247.733  168.367  353.033  226.533   \n",
       "10      269.2      165  375.267  215.167  249.733  170.233    363.3  227.033   \n",
       "11    275.433    159.7  375.967  221.833    259.3  172.333    368.9    221.9   \n",
       "12    283.367  153.467  376.133  231.567    271.2    174.5  372.933  214.967   \n",
       "13    290.667    147.7  376.033  240.333    281.7    176.4  375.933    208.5   \n",
       "14    294.167  144.333  374.667  243.367  284.333  177.133  373.667    205.2   \n",
       "15      291.3    145.2    371.2  236.633    273.5  175.833    362.6    207.2   \n",
       "16    286.267  147.333  366.967    226.5    258.2  173.833    348.5    210.9   \n",
       "17    280.633    149.5    362.5  216.733  243.133  171.767  334.433  214.067   \n",
       "18      272.5  151.033  357.067  209.767  230.933  169.367  321.233  212.767   \n",
       "19      259.4  151.367  349.667    208.1    224.3  166.333  309.633  202.933   \n",
       "20    244.533  151.267  341.533  208.267  219.567  163.067    298.6    190.2   \n",
       "21      229.9  150.967      333    208.6  215.033  159.767  287.667    177.8   \n",
       "22    217.267  149.233    321.2  209.933  211.433  156.267  277.433  169.067   \n",
       "23      209.1  144.533    302.2  213.167  209.767    152.3  268.667    168.3   \n",
       "24    202.467    138.7  280.733    217.1  208.767  148.133    260.4  170.367   \n",
       "25    196.167      133  259.467    220.8  207.667  144.067    252.2  172.567   \n",
       "26      192.3    129.1    242.4  221.467  204.833  140.933    243.8  174.333   \n",
       "27    194.433  129.467  235.233    214.8  197.767  140.167  235.133  175.033   \n",
       "28      198.7  131.433  231.733    205.5  189.167  140.233  226.333    175.4   \n",
       "29        203    133.3    228.4    196.2    180.5  140.367  217.667  175.667   \n",
       "30    204.233    132.6  225.067  190.033  171.467  140.067  211.567  175.033   \n",
       "...       ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "1872  87.8333     50.5  79.7667     84.2  57.7333     58.7     62.3  82.5667   \n",
       "1873  90.7667     52.9  81.4667     82.5  52.0667  54.3667  59.6667  75.4667   \n",
       "1874     93.5  54.4667  84.4333     79.7  52.0667  54.0667  59.6667     66.3   \n",
       "1875     87.2  52.5333     85.8     77.1  52.0667  51.1333  59.6667     64.9   \n",
       "1876     84.8  50.4667  84.9333     70.9     56.2  49.6333  59.6667  69.1667   \n",
       "1877     83.8     53.8  79.7667     70.9  60.0667     58.4  59.6667  70.0333   \n",
       "1878     85.9  59.8333  79.7667     70.9  62.8333     69.6  64.9667  71.0333   \n",
       "1879  84.8667     61.3  79.7667     71.9  63.8333  65.5333  65.1667  65.8667   \n",
       "1880  87.2333     59.4  79.7667     74.1     62.7  47.2333  59.6667  56.6667   \n",
       "1881  85.5667     58.9  79.7667  74.9333  58.7667  44.6333  59.6667  56.6667   \n",
       "1882  78.6333  60.3667  79.7667     75.6  53.6667  52.4667  68.0667  62.5333   \n",
       "1883  78.6333  61.9667  79.7667  76.3333  56.5667  58.6667  70.9333  64.5333   \n",
       "1884  79.3667  62.5333  82.1667  77.9333  60.0333  50.7333  59.6667  59.2667   \n",
       "1885  78.6333  64.0667  87.1333     75.9  61.3667  48.0667  59.6667  61.1333   \n",
       "1886  78.6333  57.8333     91.2  77.3333  57.1333  47.2667  59.6667     66.1   \n",
       "1887  78.6333     55.1  92.5667  75.8333  52.0667  51.6667  59.6667  71.1333   \n",
       "1888  78.6333     55.9  87.3333     70.9  54.1333     48.8  59.6667  71.9333   \n",
       "1889  78.6333  58.6667  79.7667     71.8     59.7  48.0333  59.6667  68.6333   \n",
       "1890  78.6333     57.4  79.7667  73.1333  63.0333  44.6333  62.4667     61.5   \n",
       "1891  78.6333     54.5  79.7667     78.7  63.4667  45.8667  64.9333  62.5667   \n",
       "1892     79.5  54.5667  79.7667  86.6333     61.8  46.6333  59.6667  63.2333   \n",
       "1893     83.1     56.6     84.7     93.8     62.7     47.1  59.6667  69.5333   \n",
       "1894  81.0667     56.8  84.4667  89.2667  57.7667  46.7667  59.6667  68.5333   \n",
       "1895  78.6333  59.9333     84.3     74.1  52.0667  51.1667  63.8667  61.7667   \n",
       "1896  78.6333  59.5667     80.4     70.9  52.0667  54.2667  65.8667  58.8667   \n",
       "1897  81.3667  57.3667  79.7667     72.8     59.4  55.3667  62.0333     66.7   \n",
       "1898  81.4333  54.2667  80.3667  74.1333     68.6     53.6  59.6667       71   \n",
       "1899  78.6333     49.2  80.6667     70.9     74.5  51.2667  64.3333     67.2   \n",
       "1900  78.6333  50.2667  79.7667     70.9  74.5333     49.7     66.9  59.8667   \n",
       "1901  78.6333  54.9333  79.7667     70.9  68.1667  51.8333  60.0333  60.9667   \n",
       "\n",
       "       Pro 25   Pro 26  ... Normal 24 Normal 25 Normal 26 Normal 27  \\\n",
       "1     319.167  267.833  ...   642.133   543.767   344.033   457.967   \n",
       "2       319.1    269.5  ...   643.067   549.867     345.5     447.1   \n",
       "3     320.367    271.5  ...     612.9   568.133   339.867     428.1   \n",
       "4     322.133  273.567  ...   573.667   589.967   332.267     406.8   \n",
       "5     323.467  275.433  ...     538.8   609.767   326.233   388.167   \n",
       "6     322.967  276.433  ...   523.833     620.5     327.3     381.2   \n",
       "7     320.167    276.3  ...     534.9   619.267   337.633     389.5   \n",
       "8       316.7    275.8  ...   554.033   614.333     350.8   402.533   \n",
       "9       313.1    275.2  ...   571.733   609.333     360.9   414.133   \n",
       "10    309.233  274.133  ...   581.367   605.033   356.367       418   \n",
       "11      305.1  272.467  ...   578.733     601.7   330.067   410.333   \n",
       "12      300.8    270.6  ...   572.133   598.667   296.733   398.967   \n",
       "13      296.4  268.967  ...     564.2     594.4     266.3       388   \n",
       "14      291.4  268.967  ...   550.333     583.6   252.867   380.167   \n",
       "15    285.267    271.6  ...   526.333   561.733   268.267   377.633   \n",
       "16    278.767  275.133  ...   498.933   536.167     293.3   376.867   \n",
       "17        272    278.1  ...     473.1   510.767   316.967     375.5   \n",
       "18    263.233      277  ...   457.767   487.833   329.133   370.067   \n",
       "19    250.767    268.2  ...     462.6   469.533     319.1   356.867   \n",
       "20    237.033  256.767  ...     474.5   452.867     301.4     340.9   \n",
       "21      223.4  245.533  ...   485.467   436.933   283.833     325.4   \n",
       "22    210.967  236.967  ...     486.9   425.833   269.767   314.567   \n",
       "23    201.133    234.2  ...   467.733   425.367   263.567     313.9   \n",
       "24    192.167  233.533  ...     441.2     428.7   260.033   316.733   \n",
       "25    183.667  232.867  ...     415.2     431.8   256.533     319.5   \n",
       "26    178.767  231.033  ...   399.033   431.567   251.767   318.833   \n",
       "27      182.7    226.6  ...   406.767   423.067     243.9   310.033   \n",
       "28      189.8    221.1  ...   423.033   411.567     234.9   298.267   \n",
       "29      196.9  215.633  ...   439.467   399.867   225.967     286.4   \n",
       "30    201.033    210.8  ...   449.633   386.967   218.767     275.1   \n",
       "...       ...      ...  ...       ...       ...       ...       ...   \n",
       "1872  67.7667  64.0667  ...   98.4667   127.433   82.1333   123.633   \n",
       "1873  67.7667  69.3667  ...   98.4667     128.8      70.6   120.967   \n",
       "1874  67.7667  75.3667  ...   98.4667   127.433      70.6   120.967   \n",
       "1875  67.7667  71.1333  ...   98.4667   127.433      70.6   122.833   \n",
       "1876  67.7667  64.0667  ...   98.4667   127.433   75.4333     127.2   \n",
       "1877     69.8  64.0667  ...   98.4667   127.433      76.8   120.967   \n",
       "1878  75.2333  64.0667  ...   98.4667   127.433   80.1333   120.967   \n",
       "1879  74.9667  64.0667  ...   98.4667   127.433      79.9   120.967   \n",
       "1880  72.6667  64.0667  ...   98.4667   127.433   81.3333   120.967   \n",
       "1881  75.3333     66.3  ...   98.4667   127.433      80.9   120.967   \n",
       "1882  72.5667     74.9  ...   98.4667   129.833   80.9333     124.1   \n",
       "1883  67.7667  79.4667  ...   98.4667   127.433      78.9   126.933   \n",
       "1884  71.6667  73.0667  ...   98.4667   127.433      70.6   125.233   \n",
       "1885     75.7  64.0667  ...   98.4667   127.433      70.6   120.967   \n",
       "1886     73.1     66.8  ...     119.1   127.433      70.6   123.933   \n",
       "1887  67.7667  68.6667  ...   137.033   127.433      70.6   129.733   \n",
       "1888  67.7667  64.0667  ...   117.967   127.667      70.6   131.967   \n",
       "1889     69.7  64.0667  ...   98.4667     130.2      72.6   130.133   \n",
       "1890  67.7667     66.1  ...   98.4667   127.433      75.3   120.967   \n",
       "1891  67.7667  73.1667  ...   98.4667   127.433   82.8667   120.967   \n",
       "1892  67.7667  79.6333  ...   98.4667   127.433   80.4333   120.967   \n",
       "1893     68.6  82.4667  ...   98.4667   127.433      70.6     128.1   \n",
       "1894  67.7667  78.3667  ...   98.4667   127.433   72.7667   131.233   \n",
       "1895       73  70.7333  ...   99.4667   130.667   78.4667   130.733   \n",
       "1896  76.1333  71.1667  ...   98.4667   133.867      78.9     124.8   \n",
       "1897  73.7667  67.1667  ...     101.8     134.6      70.6   134.533   \n",
       "1898     70.3  69.4667  ...   103.067     133.6      70.6     136.3   \n",
       "1899  67.7667  67.2333  ...   98.4667     130.8   78.7667   128.467   \n",
       "1900  67.7667  64.0667  ...   98.4667   127.433   85.5333   136.733   \n",
       "1901  67.7667  64.0667  ...   98.4667   127.433   83.0667     133.3   \n",
       "\n",
       "     Normal 28.1 Normal 29 Normal 30.1 Normal 31.1 Normal 17 Normal 32  \n",
       "1        648.067   152.067     747.033     1042.83     827.9     553.4  \n",
       "2        653.367   158.433     756.367      1039.8   829.067   556.133  \n",
       "3        646.467   155.267     745.033      1011.4   813.067     555.2  \n",
       "4          635.9     149.2     727.433     975.567   791.933   553.233  \n",
       "5          625.5   143.133       710.5     942.567     771.5   551.033  \n",
       "6        616.233   137.433     697.533         923     755.3   548.133  \n",
       "7        608.433   132.167     689.767     920.733   744.467   544.367  \n",
       "8        601.133     127.1     683.567     924.067   735.367   540.333  \n",
       "9        594.967   122.867     678.367     928.667     726.5   536.433  \n",
       "10         593.6   122.767     677.033         938   718.667     533.6  \n",
       "11         599.4     128.7     681.567       954.4     712.3   532.133  \n",
       "12       607.533     136.6       687.9     972.967   706.433   531.133  \n",
       "13       614.667   144.333     693.333       988.9   699.733   529.233  \n",
       "14       616.167     150.7     693.267     989.967   688.833   522.267  \n",
       "15       607.933   154.667       683.8     965.933   670.767   506.867  \n",
       "16         596.5   157.867     671.167     933.467   650.333   488.633  \n",
       "17         585.2   160.467     657.767       900.4   630.433   470.867  \n",
       "18       576.333   159.633     640.533     866.267   614.867   457.067  \n",
       "19         571.9   152.167     615.867     830.167   607.567   450.767  \n",
       "20       569.067   142.433     588.633     793.367   603.167     447.1  \n",
       "21       566.033   132.733     562.167       757.1     598.4   442.833  \n",
       "22       561.267   124.633     542.733     725.267   589.467     433.1  \n",
       "23       552.633   119.933     538.633       702.9     571.7   411.467  \n",
       "24         542.6   116.367       539.9         684   550.733   385.633  \n",
       "25       532.733       113     541.567     665.333   530.167   360.233  \n",
       "26       525.133   110.567     544.333     647.867   514.867   341.833  \n",
       "27         523.1   110.467     549.767     633.133     512.5   340.367  \n",
       "28       523.033   111.233     556.233     619.467   514.767   345.033  \n",
       "29           523       112     562.533     605.633   517.167   350.033  \n",
       "30       521.933   111.533       565.6         588   517.767   355.333  \n",
       "...          ...       ...         ...         ...       ...       ...  \n",
       "1872     99.2333   49.3333        93.2       178.2   152.167   122.833  \n",
       "1873        92.4   51.1667        93.2       178.2   152.167   114.533  \n",
       "1874        92.4      55.9        93.2       178.2   152.167   114.533  \n",
       "1875     94.3667   61.7333        93.2       178.2   152.167   114.533  \n",
       "1876     98.3667   67.3333        93.2       178.2   152.167   114.533  \n",
       "1877     100.333   66.1333        93.2       178.2   152.167   114.533  \n",
       "1878       109.8   72.2667     100.867       178.2     156.3   114.533  \n",
       "1879         114   70.7333     98.8667       178.2   152.167   114.533  \n",
       "1880     104.733   60.4333        93.2       178.2   152.167   114.533  \n",
       "1881        92.4   59.1333        93.2       178.2   152.167   114.533  \n",
       "1882        92.4      53.7        93.2       178.2   152.167   114.533  \n",
       "1883        92.4      60.8        93.2       178.2   152.167   114.533  \n",
       "1884        92.4   72.4667        93.2       178.2     153.5   116.933  \n",
       "1885     97.3667   77.1667        93.2       178.2     155.8   114.533  \n",
       "1886     101.533   57.1667        93.2       178.2     156.8   114.533  \n",
       "1887       101.9   49.3333        93.2       178.2   159.233   114.533  \n",
       "1888        92.4   49.3333        93.2       178.2   152.167   114.533  \n",
       "1889        92.4   54.8333        93.2       178.2   152.167   114.533  \n",
       "1890     95.7667   59.2333        95.8       178.2   152.167   114.533  \n",
       "1891       100.5   66.3667       102.7       178.2   152.167   114.533  \n",
       "1892        99.6      67.9     97.0667       178.2   152.167   114.533  \n",
       "1893     99.4333   69.5333        93.2       178.2     157.2   114.533  \n",
       "1894     104.767      68.5        93.2       178.2   158.267   114.533  \n",
       "1895       103.2   68.0667     98.6333       178.2   152.167   118.033  \n",
       "1896        92.4   65.9333         102       178.2   152.167     119.2  \n",
       "1897        92.4        60     107.733       178.2   152.167   114.533  \n",
       "1898        92.4      55.2       103.5       178.2   152.167   114.533  \n",
       "1899     97.7333      54.6        93.2       178.2   152.167   121.833  \n",
       "1900         106   53.2333        93.2       178.2   152.167       126  \n",
       "1901       109.8   49.3333     104.433       178.2   152.167   114.533  \n",
       "\n",
       "[1901 rows x 79 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = df_i.iloc[0, 1:] # store the output label\n",
    "# crop only the intensity values before scaling and data augmentation\n",
    "df_ij = df_i.drop([0,])\n",
    "wv = df_ij['wavenumber'] # store the wavenumber\n",
    "df_ijk = df_ij.drop(['wavenumber'],axis = 1)\n",
    "df_ijk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_P = df_ijk.filter(like = 'Pro', axis = 1)\n",
    "df_N = df_ijk.filter(like = 'Nor', axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "_ = plt.plot(wv, df_P, color='lightgray')\n",
    "_ = plt.plot(wv, df_P.mean(axis=1), color='black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "_ = plt.plot(wv, df_N, color='lightgray')\n",
    "_ = plt.plot(wv, df_N.mean(axis=1), color='black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ramsn shift range selection\n",
    "wv_c = wv[(wv >= 450) & (wv <= 2150)]\n",
    "df_ijkc = df_ijk[(df_ij['wavenumber'] >= 450) & (df_ij['wavenumber'] <= 2150) ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ijkc.index = wv_c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>Pro 2</th>\n",
       "      <th>Pro 3</th>\n",
       "      <th>Pro 4</th>\n",
       "      <th>Pro 5</th>\n",
       "      <th>Pro 6</th>\n",
       "      <th>Pro 11</th>\n",
       "      <th>Pro 12</th>\n",
       "      <th>Pro 24</th>\n",
       "      <th>Pro 25</th>\n",
       "      <th>Pro 26</th>\n",
       "      <th>...</th>\n",
       "      <th>Normal 24</th>\n",
       "      <th>Normal 25</th>\n",
       "      <th>Normal 26</th>\n",
       "      <th>Normal 27</th>\n",
       "      <th>Normal 28.1</th>\n",
       "      <th>Normal 29</th>\n",
       "      <th>Normal 30.1</th>\n",
       "      <th>Normal 31.1</th>\n",
       "      <th>Normal 17</th>\n",
       "      <th>Normal 32</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wavenumber</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>153.167</td>\n",
       "      <td>119.1</td>\n",
       "      <td>159.267</td>\n",
       "      <td>216.633</td>\n",
       "      <td>161.9</td>\n",
       "      <td>103.633</td>\n",
       "      <td>194.533</td>\n",
       "      <td>127.5</td>\n",
       "      <td>132.733</td>\n",
       "      <td>220.267</td>\n",
       "      <td>...</td>\n",
       "      <td>257.067</td>\n",
       "      <td>303</td>\n",
       "      <td>242.7</td>\n",
       "      <td>144.267</td>\n",
       "      <td>434.567</td>\n",
       "      <td>192.367</td>\n",
       "      <td>559.733</td>\n",
       "      <td>284.7</td>\n",
       "      <td>325.433</td>\n",
       "      <td>145.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>157.7</td>\n",
       "      <td>111.567</td>\n",
       "      <td>167.633</td>\n",
       "      <td>213.333</td>\n",
       "      <td>157.2</td>\n",
       "      <td>101.9</td>\n",
       "      <td>196.433</td>\n",
       "      <td>126.433</td>\n",
       "      <td>133.333</td>\n",
       "      <td>203.667</td>\n",
       "      <td>...</td>\n",
       "      <td>266.167</td>\n",
       "      <td>297.9</td>\n",
       "      <td>236.367</td>\n",
       "      <td>140.2</td>\n",
       "      <td>440.6</td>\n",
       "      <td>191.333</td>\n",
       "      <td>554.767</td>\n",
       "      <td>260.667</td>\n",
       "      <td>330.133</td>\n",
       "      <td>152.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>162</td>\n",
       "      <td>103.667</td>\n",
       "      <td>176.667</td>\n",
       "      <td>209.867</td>\n",
       "      <td>152.467</td>\n",
       "      <td>100.2</td>\n",
       "      <td>198.833</td>\n",
       "      <td>125.267</td>\n",
       "      <td>134.4</td>\n",
       "      <td>186.4</td>\n",
       "      <td>...</td>\n",
       "      <td>277.8</td>\n",
       "      <td>293.9</td>\n",
       "      <td>229.967</td>\n",
       "      <td>136.333</td>\n",
       "      <td>447.067</td>\n",
       "      <td>189.733</td>\n",
       "      <td>549.2</td>\n",
       "      <td>237.933</td>\n",
       "      <td>336.533</td>\n",
       "      <td>161.467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>166.267</td>\n",
       "      <td>96.5667</td>\n",
       "      <td>182.1</td>\n",
       "      <td>208</td>\n",
       "      <td>150.3</td>\n",
       "      <td>99.4667</td>\n",
       "      <td>200.967</td>\n",
       "      <td>122.367</td>\n",
       "      <td>137.9</td>\n",
       "      <td>171.667</td>\n",
       "      <td>...</td>\n",
       "      <td>289.4</td>\n",
       "      <td>288.367</td>\n",
       "      <td>225.267</td>\n",
       "      <td>131.7</td>\n",
       "      <td>452.333</td>\n",
       "      <td>188.133</td>\n",
       "      <td>543.367</td>\n",
       "      <td>223.167</td>\n",
       "      <td>339.1</td>\n",
       "      <td>167.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>170.3</td>\n",
       "      <td>92</td>\n",
       "      <td>176.8</td>\n",
       "      <td>210.667</td>\n",
       "      <td>156</td>\n",
       "      <td>101.7</td>\n",
       "      <td>202.3</td>\n",
       "      <td>114.5</td>\n",
       "      <td>148.433</td>\n",
       "      <td>164.767</td>\n",
       "      <td>...</td>\n",
       "      <td>300.733</td>\n",
       "      <td>278.367</td>\n",
       "      <td>225.633</td>\n",
       "      <td>124.833</td>\n",
       "      <td>453.867</td>\n",
       "      <td>186.7</td>\n",
       "      <td>536.6</td>\n",
       "      <td>231.867</td>\n",
       "      <td>330.367</td>\n",
       "      <td>164.633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>174.267</td>\n",
       "      <td>88.9</td>\n",
       "      <td>165.367</td>\n",
       "      <td>215.933</td>\n",
       "      <td>166.067</td>\n",
       "      <td>105.667</td>\n",
       "      <td>203.033</td>\n",
       "      <td>103.633</td>\n",
       "      <td>163.033</td>\n",
       "      <td>162.2</td>\n",
       "      <td>...</td>\n",
       "      <td>311.9</td>\n",
       "      <td>265.833</td>\n",
       "      <td>228.867</td>\n",
       "      <td>116.6</td>\n",
       "      <td>453.4</td>\n",
       "      <td>185.333</td>\n",
       "      <td>529.367</td>\n",
       "      <td>253.933</td>\n",
       "      <td>315.133</td>\n",
       "      <td>156.733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>177.9</td>\n",
       "      <td>86.0667</td>\n",
       "      <td>152.833</td>\n",
       "      <td>221.5</td>\n",
       "      <td>176.8</td>\n",
       "      <td>109.8</td>\n",
       "      <td>203.7</td>\n",
       "      <td>92.4</td>\n",
       "      <td>177.933</td>\n",
       "      <td>160.433</td>\n",
       "      <td>...</td>\n",
       "      <td>322.667</td>\n",
       "      <td>252.767</td>\n",
       "      <td>232.5</td>\n",
       "      <td>108.267</td>\n",
       "      <td>452.267</td>\n",
       "      <td>184.067</td>\n",
       "      <td>521.967</td>\n",
       "      <td>277.867</td>\n",
       "      <td>298.6</td>\n",
       "      <td>147.967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>176.5</td>\n",
       "      <td>83.6667</td>\n",
       "      <td>140.733</td>\n",
       "      <td>223.6</td>\n",
       "      <td>184.533</td>\n",
       "      <td>111.233</td>\n",
       "      <td>202.433</td>\n",
       "      <td>82.7</td>\n",
       "      <td>184.267</td>\n",
       "      <td>158.867</td>\n",
       "      <td>...</td>\n",
       "      <td>325.333</td>\n",
       "      <td>239.167</td>\n",
       "      <td>233.333</td>\n",
       "      <td>101.9</td>\n",
       "      <td>446.6</td>\n",
       "      <td>183.4</td>\n",
       "      <td>512.433</td>\n",
       "      <td>292.067</td>\n",
       "      <td>279.667</td>\n",
       "      <td>140.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>160.133</td>\n",
       "      <td>82.5667</td>\n",
       "      <td>130.3</td>\n",
       "      <td>215.233</td>\n",
       "      <td>183.1</td>\n",
       "      <td>104.667</td>\n",
       "      <td>195.533</td>\n",
       "      <td>77.7667</td>\n",
       "      <td>165.3</td>\n",
       "      <td>157.633</td>\n",
       "      <td>...</td>\n",
       "      <td>304</td>\n",
       "      <td>223.867</td>\n",
       "      <td>225.767</td>\n",
       "      <td>101.5</td>\n",
       "      <td>427.433</td>\n",
       "      <td>184.567</td>\n",
       "      <td>496.8</td>\n",
       "      <td>276.667</td>\n",
       "      <td>253.9</td>\n",
       "      <td>135.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>134.9</td>\n",
       "      <td>82.2</td>\n",
       "      <td>120.733</td>\n",
       "      <td>200.667</td>\n",
       "      <td>176.2</td>\n",
       "      <td>93.3667</td>\n",
       "      <td>185.267</td>\n",
       "      <td>75.6333</td>\n",
       "      <td>131.3</td>\n",
       "      <td>156.533</td>\n",
       "      <td>...</td>\n",
       "      <td>268.467</td>\n",
       "      <td>207.5</td>\n",
       "      <td>213.233</td>\n",
       "      <td>104.667</td>\n",
       "      <td>400.233</td>\n",
       "      <td>186.867</td>\n",
       "      <td>477.533</td>\n",
       "      <td>243.8</td>\n",
       "      <td>223.967</td>\n",
       "      <td>132.833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>108.267</td>\n",
       "      <td>82.0333</td>\n",
       "      <td>111.467</td>\n",
       "      <td>185.033</td>\n",
       "      <td>168.267</td>\n",
       "      <td>81.3</td>\n",
       "      <td>174.4</td>\n",
       "      <td>74.0333</td>\n",
       "      <td>94.7667</td>\n",
       "      <td>155.467</td>\n",
       "      <td>...</td>\n",
       "      <td>230.7</td>\n",
       "      <td>191.133</td>\n",
       "      <td>199.833</td>\n",
       "      <td>108.467</td>\n",
       "      <td>371.867</td>\n",
       "      <td>189.2</td>\n",
       "      <td>457.6</td>\n",
       "      <td>207.867</td>\n",
       "      <td>193.667</td>\n",
       "      <td>130.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>88.4667</td>\n",
       "      <td>82.6</td>\n",
       "      <td>105.2</td>\n",
       "      <td>171.533</td>\n",
       "      <td>160.267</td>\n",
       "      <td>72.4</td>\n",
       "      <td>163.1</td>\n",
       "      <td>72.7333</td>\n",
       "      <td>65.3</td>\n",
       "      <td>153.633</td>\n",
       "      <td>...</td>\n",
       "      <td>202.8</td>\n",
       "      <td>177.4</td>\n",
       "      <td>188.767</td>\n",
       "      <td>112.033</td>\n",
       "      <td>351.133</td>\n",
       "      <td>188.4</td>\n",
       "      <td>439.3</td>\n",
       "      <td>178.3</td>\n",
       "      <td>171.8</td>\n",
       "      <td>130.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>89.1667</td>\n",
       "      <td>85.1667</td>\n",
       "      <td>107.6</td>\n",
       "      <td>164.567</td>\n",
       "      <td>152.267</td>\n",
       "      <td>73</td>\n",
       "      <td>150.833</td>\n",
       "      <td>70.4333</td>\n",
       "      <td>57.3667</td>\n",
       "      <td>149.5</td>\n",
       "      <td>...</td>\n",
       "      <td>204.6</td>\n",
       "      <td>171.533</td>\n",
       "      <td>184.833</td>\n",
       "      <td>114.833</td>\n",
       "      <td>353.133</td>\n",
       "      <td>178.267</td>\n",
       "      <td>425.7</td>\n",
       "      <td>168.033</td>\n",
       "      <td>175.067</td>\n",
       "      <td>135.567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>102.5</td>\n",
       "      <td>89</td>\n",
       "      <td>115.433</td>\n",
       "      <td>161.667</td>\n",
       "      <td>144.2</td>\n",
       "      <td>79.4333</td>\n",
       "      <td>137.9</td>\n",
       "      <td>68.6</td>\n",
       "      <td>62.6667</td>\n",
       "      <td>144.033</td>\n",
       "      <td>...</td>\n",
       "      <td>224.7</td>\n",
       "      <td>170.5</td>\n",
       "      <td>185.267</td>\n",
       "      <td>117.2</td>\n",
       "      <td>369.167</td>\n",
       "      <td>162.433</td>\n",
       "      <td>415.067</td>\n",
       "      <td>169.633</td>\n",
       "      <td>193.733</td>\n",
       "      <td>144.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>118.133</td>\n",
       "      <td>93.0667</td>\n",
       "      <td>124.267</td>\n",
       "      <td>159.567</td>\n",
       "      <td>136.2</td>\n",
       "      <td>86.8667</td>\n",
       "      <td>124.967</td>\n",
       "      <td>66.9</td>\n",
       "      <td>70.4667</td>\n",
       "      <td>138.233</td>\n",
       "      <td>...</td>\n",
       "      <td>247.967</td>\n",
       "      <td>170.233</td>\n",
       "      <td>186.433</td>\n",
       "      <td>119.433</td>\n",
       "      <td>387.7</td>\n",
       "      <td>145.6</td>\n",
       "      <td>405.067</td>\n",
       "      <td>173.533</td>\n",
       "      <td>215.033</td>\n",
       "      <td>153.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>130.833</td>\n",
       "      <td>95.6667</td>\n",
       "      <td>132.3</td>\n",
       "      <td>158.433</td>\n",
       "      <td>129</td>\n",
       "      <td>92.9667</td>\n",
       "      <td>114.9</td>\n",
       "      <td>69.7333</td>\n",
       "      <td>76.7667</td>\n",
       "      <td>131.533</td>\n",
       "      <td>...</td>\n",
       "      <td>263.033</td>\n",
       "      <td>167.433</td>\n",
       "      <td>185.567</td>\n",
       "      <td>120.967</td>\n",
       "      <td>401.5</td>\n",
       "      <td>131.533</td>\n",
       "      <td>397.467</td>\n",
       "      <td>178.2</td>\n",
       "      <td>227.5</td>\n",
       "      <td>159.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>136.9</td>\n",
       "      <td>93.9667</td>\n",
       "      <td>133.933</td>\n",
       "      <td>160.033</td>\n",
       "      <td>124.5</td>\n",
       "      <td>94.2333</td>\n",
       "      <td>115.467</td>\n",
       "      <td>73.9333</td>\n",
       "      <td>80.7</td>\n",
       "      <td>123.867</td>\n",
       "      <td>...</td>\n",
       "      <td>252.9</td>\n",
       "      <td>162.467</td>\n",
       "      <td>178.4</td>\n",
       "      <td>120.967</td>\n",
       "      <td>398.833</td>\n",
       "      <td>125.867</td>\n",
       "      <td>398.9</td>\n",
       "      <td>178.2</td>\n",
       "      <td>220.3</td>\n",
       "      <td>156.167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>137.267</td>\n",
       "      <td>89.5</td>\n",
       "      <td>135.867</td>\n",
       "      <td>163.433</td>\n",
       "      <td>117.867</td>\n",
       "      <td>92.7</td>\n",
       "      <td>122.9</td>\n",
       "      <td>77.1</td>\n",
       "      <td>84.7333</td>\n",
       "      <td>114.567</td>\n",
       "      <td>...</td>\n",
       "      <td>227.033</td>\n",
       "      <td>150.367</td>\n",
       "      <td>167.267</td>\n",
       "      <td>125.8</td>\n",
       "      <td>383.5</td>\n",
       "      <td>125.5</td>\n",
       "      <td>399.133</td>\n",
       "      <td>178.2</td>\n",
       "      <td>196.3</td>\n",
       "      <td>141.267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>136.467</td>\n",
       "      <td>84.5</td>\n",
       "      <td>137.833</td>\n",
       "      <td>167.067</td>\n",
       "      <td>116.067</td>\n",
       "      <td>90.6333</td>\n",
       "      <td>131.2</td>\n",
       "      <td>80</td>\n",
       "      <td>88.1667</td>\n",
       "      <td>105.033</td>\n",
       "      <td>...</td>\n",
       "      <td>198.333</td>\n",
       "      <td>136.967</td>\n",
       "      <td>155.4</td>\n",
       "      <td>131.2</td>\n",
       "      <td>365.833</td>\n",
       "      <td>126.267</td>\n",
       "      <td>399.033</td>\n",
       "      <td>178.2</td>\n",
       "      <td>169.4</td>\n",
       "      <td>124.333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>136.333</td>\n",
       "      <td>79.5333</td>\n",
       "      <td>139.667</td>\n",
       "      <td>169.7</td>\n",
       "      <td>115.633</td>\n",
       "      <td>89.0333</td>\n",
       "      <td>138.667</td>\n",
       "      <td>82.2</td>\n",
       "      <td>93.9333</td>\n",
       "      <td>97.5</td>\n",
       "      <td>...</td>\n",
       "      <td>176.633</td>\n",
       "      <td>127.433</td>\n",
       "      <td>145.667</td>\n",
       "      <td>134.933</td>\n",
       "      <td>360.133</td>\n",
       "      <td>128.467</td>\n",
       "      <td>404.1</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>135.867</td>\n",
       "      <td>74.7333</td>\n",
       "      <td>145.767</td>\n",
       "      <td>169.1</td>\n",
       "      <td>119.267</td>\n",
       "      <td>88.9</td>\n",
       "      <td>143.433</td>\n",
       "      <td>82.1667</td>\n",
       "      <td>94.8</td>\n",
       "      <td>92.8333</td>\n",
       "      <td>...</td>\n",
       "      <td>175.267</td>\n",
       "      <td>139.667</td>\n",
       "      <td>142.367</td>\n",
       "      <td>133.833</td>\n",
       "      <td>363.333</td>\n",
       "      <td>134.567</td>\n",
       "      <td>401.567</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>133.267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>132.133</td>\n",
       "      <td>67.1667</td>\n",
       "      <td>152.133</td>\n",
       "      <td>166.533</td>\n",
       "      <td>125.5</td>\n",
       "      <td>90.0333</td>\n",
       "      <td>146.467</td>\n",
       "      <td>80.7333</td>\n",
       "      <td>92.6</td>\n",
       "      <td>88</td>\n",
       "      <td>...</td>\n",
       "      <td>173.7</td>\n",
       "      <td>171.533</td>\n",
       "      <td>145.233</td>\n",
       "      <td>129.3</td>\n",
       "      <td>372.2</td>\n",
       "      <td>143.2</td>\n",
       "      <td>394.133</td>\n",
       "      <td>230.033</td>\n",
       "      <td>159.067</td>\n",
       "      <td>174.733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>127.7</td>\n",
       "      <td>62.5</td>\n",
       "      <td>158.2</td>\n",
       "      <td>163.467</td>\n",
       "      <td>132.033</td>\n",
       "      <td>91.2667</td>\n",
       "      <td>149</td>\n",
       "      <td>81.5667</td>\n",
       "      <td>96.9</td>\n",
       "      <td>92.2333</td>\n",
       "      <td>...</td>\n",
       "      <td>172</td>\n",
       "      <td>205.533</td>\n",
       "      <td>148.5</td>\n",
       "      <td>124.1</td>\n",
       "      <td>382</td>\n",
       "      <td>152.067</td>\n",
       "      <td>385.533</td>\n",
       "      <td>281.867</td>\n",
       "      <td>203.8</td>\n",
       "      <td>218.333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>132</td>\n",
       "      <td>59.0333</td>\n",
       "      <td>162.1</td>\n",
       "      <td>159.033</td>\n",
       "      <td>133.7</td>\n",
       "      <td>91.0333</td>\n",
       "      <td>148.4</td>\n",
       "      <td>81.3333</td>\n",
       "      <td>100.233</td>\n",
       "      <td>94.7</td>\n",
       "      <td>...</td>\n",
       "      <td>168.033</td>\n",
       "      <td>244.067</td>\n",
       "      <td>149.033</td>\n",
       "      <td>130</td>\n",
       "      <td>386.767</td>\n",
       "      <td>155.933</td>\n",
       "      <td>373.9</td>\n",
       "      <td>317.7</td>\n",
       "      <td>236.667</td>\n",
       "      <td>247.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>129.5</td>\n",
       "      <td>59.3</td>\n",
       "      <td>159.2</td>\n",
       "      <td>150.567</td>\n",
       "      <td>120.467</td>\n",
       "      <td>86.2333</td>\n",
       "      <td>138.367</td>\n",
       "      <td>77.8333</td>\n",
       "      <td>100.567</td>\n",
       "      <td>91.5333</td>\n",
       "      <td>...</td>\n",
       "      <td>160.433</td>\n",
       "      <td>240.167</td>\n",
       "      <td>140.933</td>\n",
       "      <td>133.767</td>\n",
       "      <td>376.1</td>\n",
       "      <td>144.433</td>\n",
       "      <td>353.2</td>\n",
       "      <td>305.267</td>\n",
       "      <td>232.967</td>\n",
       "      <td>234.567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>119.667</td>\n",
       "      <td>59.3333</td>\n",
       "      <td>151.933</td>\n",
       "      <td>139.533</td>\n",
       "      <td>96.1333</td>\n",
       "      <td>79.8333</td>\n",
       "      <td>126.933</td>\n",
       "      <td>72.2333</td>\n",
       "      <td>98.9667</td>\n",
       "      <td>84.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>144.6</td>\n",
       "      <td>209.1</td>\n",
       "      <td>133.8</td>\n",
       "      <td>134.167</td>\n",
       "      <td>355.533</td>\n",
       "      <td>123.033</td>\n",
       "      <td>326.633</td>\n",
       "      <td>261.867</td>\n",
       "      <td>205.833</td>\n",
       "      <td>193.767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>115.6</td>\n",
       "      <td>59.2333</td>\n",
       "      <td>143.733</td>\n",
       "      <td>128.1</td>\n",
       "      <td>72</td>\n",
       "      <td>73.0333</td>\n",
       "      <td>114.633</td>\n",
       "      <td>66.3333</td>\n",
       "      <td>97</td>\n",
       "      <td>77.5</td>\n",
       "      <td>...</td>\n",
       "      <td>127.167</td>\n",
       "      <td>172.8</td>\n",
       "      <td>126</td>\n",
       "      <td>141.3</td>\n",
       "      <td>333.4</td>\n",
       "      <td>99.8667</td>\n",
       "      <td>299.4</td>\n",
       "      <td>212.9</td>\n",
       "      <td>174.333</td>\n",
       "      <td>147.933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>112.1</td>\n",
       "      <td>58.7</td>\n",
       "      <td>134.833</td>\n",
       "      <td>119.533</td>\n",
       "      <td>55.7</td>\n",
       "      <td>67.3</td>\n",
       "      <td>106</td>\n",
       "      <td>61.7333</td>\n",
       "      <td>95.6</td>\n",
       "      <td>74.7</td>\n",
       "      <td>...</td>\n",
       "      <td>111.967</td>\n",
       "      <td>144.6</td>\n",
       "      <td>118.567</td>\n",
       "      <td>146.367</td>\n",
       "      <td>318.9</td>\n",
       "      <td>81.7333</td>\n",
       "      <td>283.167</td>\n",
       "      <td>180.033</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>111.8</td>\n",
       "      <td>56.6667</td>\n",
       "      <td>126.567</td>\n",
       "      <td>119.5</td>\n",
       "      <td>55.5</td>\n",
       "      <td>66.2333</td>\n",
       "      <td>103.733</td>\n",
       "      <td>61.1</td>\n",
       "      <td>95.9</td>\n",
       "      <td>75.1333</td>\n",
       "      <td>...</td>\n",
       "      <td>103.833</td>\n",
       "      <td>138.1</td>\n",
       "      <td>112.533</td>\n",
       "      <td>153.367</td>\n",
       "      <td>328.067</td>\n",
       "      <td>76.9333</td>\n",
       "      <td>289.333</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>106.833</td>\n",
       "      <td>53.7333</td>\n",
       "      <td>112.2</td>\n",
       "      <td>123.867</td>\n",
       "      <td>54.2333</td>\n",
       "      <td>67.9667</td>\n",
       "      <td>100.467</td>\n",
       "      <td>62.6333</td>\n",
       "      <td>97.2667</td>\n",
       "      <td>91.9333</td>\n",
       "      <td>...</td>\n",
       "      <td>98.7</td>\n",
       "      <td>135.933</td>\n",
       "      <td>109.333</td>\n",
       "      <td>159.133</td>\n",
       "      <td>352.3</td>\n",
       "      <td>75.5333</td>\n",
       "      <td>304.433</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</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",
       "      <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>2121</th>\n",
       "      <td>81.8667</td>\n",
       "      <td>50.6667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>53.8667</td>\n",
       "      <td>49.0333</td>\n",
       "      <td>68.8667</td>\n",
       "      <td>102.1</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>67.3667</td>\n",
       "      <td>...</td>\n",
       "      <td>102.833</td>\n",
       "      <td>127.433</td>\n",
       "      <td>72.0667</td>\n",
       "      <td>139.167</td>\n",
       "      <td>100.5</td>\n",
       "      <td>79.2667</td>\n",
       "      <td>94.4333</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.967</td>\n",
       "      <td>137.333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2122</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>49.2</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>55.4333</td>\n",
       "      <td>46.6667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>96.8333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>68.5333</td>\n",
       "      <td>...</td>\n",
       "      <td>105.033</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>136.167</td>\n",
       "      <td>92.4</td>\n",
       "      <td>83.3667</td>\n",
       "      <td>95.4333</td>\n",
       "      <td>178.2</td>\n",
       "      <td>154.633</td>\n",
       "      <td>139.333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2123</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>49.2</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>54.8333</td>\n",
       "      <td>46.3</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>90.9</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>65.9667</td>\n",
       "      <td>...</td>\n",
       "      <td>110</td>\n",
       "      <td>127.433</td>\n",
       "      <td>78.8333</td>\n",
       "      <td>140.3</td>\n",
       "      <td>92.4</td>\n",
       "      <td>76.8667</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>124.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2124</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>49.2</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>48.5</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>83.7</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>67.4667</td>\n",
       "      <td>...</td>\n",
       "      <td>119.633</td>\n",
       "      <td>133.733</td>\n",
       "      <td>88.4</td>\n",
       "      <td>146.433</td>\n",
       "      <td>92.4</td>\n",
       "      <td>79.9333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>153.333</td>\n",
       "      <td>123.067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2125</th>\n",
       "      <td>79.9667</td>\n",
       "      <td>50.4</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>47.8333</td>\n",
       "      <td>68.3333</td>\n",
       "      <td>78.3333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>114.533</td>\n",
       "      <td>127.433</td>\n",
       "      <td>98.9333</td>\n",
       "      <td>132.033</td>\n",
       "      <td>92.4</td>\n",
       "      <td>76.0333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>119.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2126</th>\n",
       "      <td>82.9333</td>\n",
       "      <td>54</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>44.6333</td>\n",
       "      <td>78.6667</td>\n",
       "      <td>81.1333</td>\n",
       "      <td>70.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>104.7</td>\n",
       "      <td>127.433</td>\n",
       "      <td>107.933</td>\n",
       "      <td>120.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>70.0333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2127</th>\n",
       "      <td>82.4667</td>\n",
       "      <td>53.3</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>44.6333</td>\n",
       "      <td>72.7667</td>\n",
       "      <td>79.9667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>103.667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>94.4667</td>\n",
       "      <td>120.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>59.1667</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>117.267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2128</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>52.9333</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>47.1333</td>\n",
       "      <td>64.4</td>\n",
       "      <td>74.5333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>122.2</td>\n",
       "      <td>93.2667</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>98.5667</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>124.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2129</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>56.4667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>47.8667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>66.0333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.1333</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>122.867</td>\n",
       "      <td>92.4</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>104.7</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>128.767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2130</th>\n",
       "      <td>79.5667</td>\n",
       "      <td>59.3667</td>\n",
       "      <td>85.9</td>\n",
       "      <td>74.5667</td>\n",
       "      <td>55.6</td>\n",
       "      <td>53.3333</td>\n",
       "      <td>69.1667</td>\n",
       "      <td>56.6667</td>\n",
       "      <td>75.3667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>131.733</td>\n",
       "      <td>70.6</td>\n",
       "      <td>132.1</td>\n",
       "      <td>95.0667</td>\n",
       "      <td>58.1667</td>\n",
       "      <td>113.467</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>126.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2131</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>62.6667</td>\n",
       "      <td>89.3333</td>\n",
       "      <td>76.9667</td>\n",
       "      <td>57.7667</td>\n",
       "      <td>60.4333</td>\n",
       "      <td>74.6333</td>\n",
       "      <td>56.6667</td>\n",
       "      <td>81.8333</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>134.933</td>\n",
       "      <td>70.6</td>\n",
       "      <td>139.767</td>\n",
       "      <td>92.4</td>\n",
       "      <td>64.8</td>\n",
       "      <td>112.9</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>122.333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2132</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>55.6333</td>\n",
       "      <td>81.3333</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>51.5</td>\n",
       "      <td>63.1667</td>\n",
       "      <td>58.7667</td>\n",
       "      <td>85.4667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>77.3333</td>\n",
       "      <td>132.667</td>\n",
       "      <td>92.4</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>120.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2133</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>55.1667</td>\n",
       "      <td>83</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>44.6333</td>\n",
       "      <td>65.7333</td>\n",
       "      <td>62.5667</td>\n",
       "      <td>84.1333</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>82.3333</td>\n",
       "      <td>120.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>120.133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2134</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>49.2</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>44.6333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>63.3333</td>\n",
       "      <td>79.4</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>82.8667</td>\n",
       "      <td>120.967</td>\n",
       "      <td>97.7667</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2135</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>49.2</td>\n",
       "      <td>81.4333</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>48.8667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>62.6333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>80.6333</td>\n",
       "      <td>120.967</td>\n",
       "      <td>108.067</td>\n",
       "      <td>52.2</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2136</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>49.2</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>64.1667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>83.3667</td>\n",
       "      <td>120.967</td>\n",
       "      <td>113.933</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>98.7333</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2137</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>49.2</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>53</td>\n",
       "      <td>46.9</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>62.6</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>100.033</td>\n",
       "      <td>127.433</td>\n",
       "      <td>99.4333</td>\n",
       "      <td>123.967</td>\n",
       "      <td>116.7</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>106.367</td>\n",
       "      <td>178.2</td>\n",
       "      <td>166.567</td>\n",
       "      <td>126.967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2138</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>52.4667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>54.5333</td>\n",
       "      <td>46.8667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>59.8667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>101.067</td>\n",
       "      <td>127.433</td>\n",
       "      <td>111.167</td>\n",
       "      <td>126.967</td>\n",
       "      <td>112.9</td>\n",
       "      <td>50.5</td>\n",
       "      <td>107.267</td>\n",
       "      <td>178.2</td>\n",
       "      <td>176.433</td>\n",
       "      <td>135.967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2139</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>61.0667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>55.7</td>\n",
       "      <td>45.7667</td>\n",
       "      <td>60.8</td>\n",
       "      <td>56.6667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>65.1333</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>101.833</td>\n",
       "      <td>126.933</td>\n",
       "      <td>98.5667</td>\n",
       "      <td>56.1333</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>168.3</td>\n",
       "      <td>129.167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2140</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>71.1333</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>55.5333</td>\n",
       "      <td>44.6333</td>\n",
       "      <td>61.2</td>\n",
       "      <td>56.6667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>88.8333</td>\n",
       "      <td>125.067</td>\n",
       "      <td>92.4</td>\n",
       "      <td>65.4667</td>\n",
       "      <td>93.2</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>130.167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2141</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>70.8667</td>\n",
       "      <td>80.8333</td>\n",
       "      <td>71.2</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>47.2333</td>\n",
       "      <td>62.2667</td>\n",
       "      <td>56.6667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>66.7667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>81.9333</td>\n",
       "      <td>120.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>70.6667</td>\n",
       "      <td>96.7667</td>\n",
       "      <td>180.333</td>\n",
       "      <td>152.167</td>\n",
       "      <td>123.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2142</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>68.7333</td>\n",
       "      <td>83.0667</td>\n",
       "      <td>73</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>48.9667</td>\n",
       "      <td>62.2667</td>\n",
       "      <td>56.6667</td>\n",
       "      <td>71.6333</td>\n",
       "      <td>72.3</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>73.1</td>\n",
       "      <td>120.967</td>\n",
       "      <td>96.2333</td>\n",
       "      <td>72.2</td>\n",
       "      <td>103.633</td>\n",
       "      <td>186.167</td>\n",
       "      <td>156.7</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2143</th>\n",
       "      <td>80.1333</td>\n",
       "      <td>64.5667</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>44.6333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>58.6333</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>70.9667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>127.433</td>\n",
       "      <td>70.6</td>\n",
       "      <td>120.967</td>\n",
       "      <td>100.3</td>\n",
       "      <td>68.6333</td>\n",
       "      <td>105.333</td>\n",
       "      <td>178.2</td>\n",
       "      <td>158.767</td>\n",
       "      <td>120.233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2144</th>\n",
       "      <td>92.4</td>\n",
       "      <td>58.4333</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>72.7333</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>44.6333</td>\n",
       "      <td>64.2</td>\n",
       "      <td>63.8667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.4667</td>\n",
       "      <td>129.933</td>\n",
       "      <td>83.5</td>\n",
       "      <td>120.967</td>\n",
       "      <td>106.4</td>\n",
       "      <td>61.1</td>\n",
       "      <td>107</td>\n",
       "      <td>188.8</td>\n",
       "      <td>159.3</td>\n",
       "      <td>135.667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2145</th>\n",
       "      <td>95.8667</td>\n",
       "      <td>49.2</td>\n",
       "      <td>79.7667</td>\n",
       "      <td>71.5333</td>\n",
       "      <td>52.0667</td>\n",
       "      <td>44.6333</td>\n",
       "      <td>65.1333</td>\n",
       "      <td>65.3667</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>98.8333</td>\n",
       "      <td>131.167</td>\n",
       "      <td>87.7667</td>\n",
       "      <td>120.967</td>\n",
       "      <td>103.8</td>\n",
       "      <td>58.8667</td>\n",
       "      <td>102.567</td>\n",
       "      <td>191.467</td>\n",
       "      <td>155.5</td>\n",
       "      <td>137.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2146</th>\n",
       "      <td>83.9333</td>\n",
       "      <td>52.9333</td>\n",
       "      <td>82.5</td>\n",
       "      <td>70.9</td>\n",
       "      <td>52.5667</td>\n",
       "      <td>49.2667</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>63.9</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>64.0667</td>\n",
       "      <td>...</td>\n",
       "      <td>102.4</td>\n",
       "      <td>142.733</td>\n",
       "      <td>80.8667</td>\n",
       "      <td>129.467</td>\n",
       "      <td>101.4</td>\n",
       "      <td>60.6</td>\n",
       "      <td>100.733</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2147</th>\n",
       "      <td>78.6333</td>\n",
       "      <td>54.5667</td>\n",
       "      <td>84.0333</td>\n",
       "      <td>70.9</td>\n",
       "      <td>55.5</td>\n",
       "      <td>54.3333</td>\n",
       "      <td>59.6667</td>\n",
       "      <td>67.1</td>\n",
       "      <td>68.8</td>\n",
       "      <td>64.8333</td>\n",
       "      <td>...</td>\n",
       "      <td>104.067</td>\n",
       "      <td>157.167</td>\n",
       "      <td>77.8333</td>\n",
       "      <td>136.567</td>\n",
       "      <td>96.7333</td>\n",
       "      <td>57.9333</td>\n",
       "      <td>100.533</td>\n",
       "      <td>178.2</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2148</th>\n",
       "      <td>83.1</td>\n",
       "      <td>49.2</td>\n",
       "      <td>85.6</td>\n",
       "      <td>74.1333</td>\n",
       "      <td>57.0333</td>\n",
       "      <td>56.2667</td>\n",
       "      <td>62.8333</td>\n",
       "      <td>66.1333</td>\n",
       "      <td>69.3667</td>\n",
       "      <td>64.4667</td>\n",
       "      <td>...</td>\n",
       "      <td>101.467</td>\n",
       "      <td>153.133</td>\n",
       "      <td>74.1667</td>\n",
       "      <td>130.533</td>\n",
       "      <td>92.4</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>109</td>\n",
       "      <td>184.433</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2149</th>\n",
       "      <td>89.4333</td>\n",
       "      <td>49.2</td>\n",
       "      <td>92.3333</td>\n",
       "      <td>75.8667</td>\n",
       "      <td>57.7667</td>\n",
       "      <td>61.6333</td>\n",
       "      <td>66.6667</td>\n",
       "      <td>63.2</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>67.2</td>\n",
       "      <td>...</td>\n",
       "      <td>106.5</td>\n",
       "      <td>147.867</td>\n",
       "      <td>70.6</td>\n",
       "      <td>120.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>49.3333</td>\n",
       "      <td>115.733</td>\n",
       "      <td>188.167</td>\n",
       "      <td>152.167</td>\n",
       "      <td>114.533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2150</th>\n",
       "      <td>90.0667</td>\n",
       "      <td>54.7</td>\n",
       "      <td>93.3667</td>\n",
       "      <td>70.9</td>\n",
       "      <td>57.7667</td>\n",
       "      <td>57.5</td>\n",
       "      <td>70.4333</td>\n",
       "      <td>61.2</td>\n",
       "      <td>67.7667</td>\n",
       "      <td>68.8333</td>\n",
       "      <td>...</td>\n",
       "      <td>107</td>\n",
       "      <td>135.533</td>\n",
       "      <td>70.6</td>\n",
       "      <td>120.967</td>\n",
       "      <td>92.4</td>\n",
       "      <td>55.1333</td>\n",
       "      <td>111.3</td>\n",
       "      <td>178.2</td>\n",
       "      <td>155.333</td>\n",
       "      <td>117.333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1701 rows × 79 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Pro 2    Pro 3    Pro 4    Pro 5    Pro 6   Pro 11   Pro 12  \\\n",
       "wavenumber                                                                  \n",
       "450         153.167    119.1  159.267  216.633    161.9  103.633  194.533   \n",
       "451           157.7  111.567  167.633  213.333    157.2    101.9  196.433   \n",
       "452             162  103.667  176.667  209.867  152.467    100.2  198.833   \n",
       "453         166.267  96.5667    182.1      208    150.3  99.4667  200.967   \n",
       "454           170.3       92    176.8  210.667      156    101.7    202.3   \n",
       "455         174.267     88.9  165.367  215.933  166.067  105.667  203.033   \n",
       "456           177.9  86.0667  152.833    221.5    176.8    109.8    203.7   \n",
       "457           176.5  83.6667  140.733    223.6  184.533  111.233  202.433   \n",
       "458         160.133  82.5667    130.3  215.233    183.1  104.667  195.533   \n",
       "459           134.9     82.2  120.733  200.667    176.2  93.3667  185.267   \n",
       "460         108.267  82.0333  111.467  185.033  168.267     81.3    174.4   \n",
       "461         88.4667     82.6    105.2  171.533  160.267     72.4    163.1   \n",
       "462         89.1667  85.1667    107.6  164.567  152.267       73  150.833   \n",
       "463           102.5       89  115.433  161.667    144.2  79.4333    137.9   \n",
       "464         118.133  93.0667  124.267  159.567    136.2  86.8667  124.967   \n",
       "465         130.833  95.6667    132.3  158.433      129  92.9667    114.9   \n",
       "466           136.9  93.9667  133.933  160.033    124.5  94.2333  115.467   \n",
       "467         137.267     89.5  135.867  163.433  117.867     92.7    122.9   \n",
       "468         136.467     84.5  137.833  167.067  116.067  90.6333    131.2   \n",
       "469         136.333  79.5333  139.667    169.7  115.633  89.0333  138.667   \n",
       "470         135.867  74.7333  145.767    169.1  119.267     88.9  143.433   \n",
       "471         132.133  67.1667  152.133  166.533    125.5  90.0333  146.467   \n",
       "472           127.7     62.5    158.2  163.467  132.033  91.2667      149   \n",
       "473             132  59.0333    162.1  159.033    133.7  91.0333    148.4   \n",
       "474           129.5     59.3    159.2  150.567  120.467  86.2333  138.367   \n",
       "475         119.667  59.3333  151.933  139.533  96.1333  79.8333  126.933   \n",
       "476           115.6  59.2333  143.733    128.1       72  73.0333  114.633   \n",
       "477           112.1     58.7  134.833  119.533     55.7     67.3      106   \n",
       "478           111.8  56.6667  126.567    119.5     55.5  66.2333  103.733   \n",
       "479         106.833  53.7333    112.2  123.867  54.2333  67.9667  100.467   \n",
       "...             ...      ...      ...      ...      ...      ...      ...   \n",
       "2121        81.8667  50.6667  79.7667     70.9  53.8667  49.0333  68.8667   \n",
       "2122        78.6333     49.2  79.7667     70.9  55.4333  46.6667  59.6667   \n",
       "2123        78.6333     49.2  79.7667     70.9  54.8333     46.3  59.6667   \n",
       "2124        78.6333     49.2  79.7667     70.9  52.0667     48.5  59.6667   \n",
       "2125        79.9667     50.4  79.7667     70.9  52.0667  47.8333  68.3333   \n",
       "2126        82.9333       54  79.7667     70.9  52.0667  44.6333  78.6667   \n",
       "2127        82.4667     53.3  79.7667     70.9  52.0667  44.6333  72.7667   \n",
       "2128        78.6333  52.9333  79.7667     70.9  52.0667  47.1333     64.4   \n",
       "2129        78.6333  56.4667  79.7667     70.9  52.0667  47.8667  59.6667   \n",
       "2130        79.5667  59.3667     85.9  74.5667     55.6  53.3333  69.1667   \n",
       "2131        78.6333  62.6667  89.3333  76.9667  57.7667  60.4333  74.6333   \n",
       "2132        78.6333  55.6333  81.3333     70.9  52.0667     51.5  63.1667   \n",
       "2133        78.6333  55.1667       83     70.9  52.0667  44.6333  65.7333   \n",
       "2134        78.6333     49.2  79.7667     70.9  52.0667  44.6333  59.6667   \n",
       "2135        78.6333     49.2  81.4333     70.9  52.0667  48.8667  59.6667   \n",
       "2136        78.6333     49.2  79.7667     70.9  52.0667  49.3333  59.6667   \n",
       "2137        78.6333     49.2  79.7667     70.9       53     46.9  59.6667   \n",
       "2138        78.6333  52.4667  79.7667     70.9  54.5333  46.8667  59.6667   \n",
       "2139        78.6333  61.0667  79.7667     70.9     55.7  45.7667     60.8   \n",
       "2140        78.6333  71.1333  79.7667     70.9  55.5333  44.6333     61.2   \n",
       "2141        78.6333  70.8667  80.8333     71.2  52.0667  47.2333  62.2667   \n",
       "2142        78.6333  68.7333  83.0667       73  52.0667  48.9667  62.2667   \n",
       "2143        80.1333  64.5667  79.7667     70.9  52.0667  44.6333  59.6667   \n",
       "2144           92.4  58.4333  79.7667  72.7333  52.0667  44.6333     64.2   \n",
       "2145        95.8667     49.2  79.7667  71.5333  52.0667  44.6333  65.1333   \n",
       "2146        83.9333  52.9333     82.5     70.9  52.5667  49.2667  59.6667   \n",
       "2147        78.6333  54.5667  84.0333     70.9     55.5  54.3333  59.6667   \n",
       "2148           83.1     49.2     85.6  74.1333  57.0333  56.2667  62.8333   \n",
       "2149        89.4333     49.2  92.3333  75.8667  57.7667  61.6333  66.6667   \n",
       "2150        90.0667     54.7  93.3667     70.9  57.7667     57.5  70.4333   \n",
       "\n",
       "             Pro 24   Pro 25   Pro 26  ... Normal 24 Normal 25 Normal 26  \\\n",
       "wavenumber                             ...                                 \n",
       "450           127.5  132.733  220.267  ...   257.067       303     242.7   \n",
       "451         126.433  133.333  203.667  ...   266.167     297.9   236.367   \n",
       "452         125.267    134.4    186.4  ...     277.8     293.9   229.967   \n",
       "453         122.367    137.9  171.667  ...     289.4   288.367   225.267   \n",
       "454           114.5  148.433  164.767  ...   300.733   278.367   225.633   \n",
       "455         103.633  163.033    162.2  ...     311.9   265.833   228.867   \n",
       "456            92.4  177.933  160.433  ...   322.667   252.767     232.5   \n",
       "457            82.7  184.267  158.867  ...   325.333   239.167   233.333   \n",
       "458         77.7667    165.3  157.633  ...       304   223.867   225.767   \n",
       "459         75.6333    131.3  156.533  ...   268.467     207.5   213.233   \n",
       "460         74.0333  94.7667  155.467  ...     230.7   191.133   199.833   \n",
       "461         72.7333     65.3  153.633  ...     202.8     177.4   188.767   \n",
       "462         70.4333  57.3667    149.5  ...     204.6   171.533   184.833   \n",
       "463            68.6  62.6667  144.033  ...     224.7     170.5   185.267   \n",
       "464            66.9  70.4667  138.233  ...   247.967   170.233   186.433   \n",
       "465         69.7333  76.7667  131.533  ...   263.033   167.433   185.567   \n",
       "466         73.9333     80.7  123.867  ...     252.9   162.467     178.4   \n",
       "467            77.1  84.7333  114.567  ...   227.033   150.367   167.267   \n",
       "468              80  88.1667  105.033  ...   198.333   136.967     155.4   \n",
       "469            82.2  93.9333     97.5  ...   176.633   127.433   145.667   \n",
       "470         82.1667     94.8  92.8333  ...   175.267   139.667   142.367   \n",
       "471         80.7333     92.6       88  ...     173.7   171.533   145.233   \n",
       "472         81.5667     96.9  92.2333  ...       172   205.533     148.5   \n",
       "473         81.3333  100.233     94.7  ...   168.033   244.067   149.033   \n",
       "474         77.8333  100.567  91.5333  ...   160.433   240.167   140.933   \n",
       "475         72.2333  98.9667  84.7667  ...     144.6     209.1     133.8   \n",
       "476         66.3333       97     77.5  ...   127.167     172.8       126   \n",
       "477         61.7333     95.6     74.7  ...   111.967     144.6   118.567   \n",
       "478            61.1     95.9  75.1333  ...   103.833     138.1   112.533   \n",
       "479         62.6333  97.2667  91.9333  ...      98.7   135.933   109.333   \n",
       "...             ...      ...      ...  ...       ...       ...       ...   \n",
       "2121          102.1  67.7667  67.3667  ...   102.833   127.433   72.0667   \n",
       "2122        96.8333  67.7667  68.5333  ...   105.033   127.433      70.6   \n",
       "2123           90.9  67.7667  65.9667  ...       110   127.433   78.8333   \n",
       "2124           83.7  67.7667  67.4667  ...   119.633   133.733      88.4   \n",
       "2125        78.3333  67.7667  64.0667  ...   114.533   127.433   98.9333   \n",
       "2126        81.1333  70.7667  64.0667  ...     104.7   127.433   107.933   \n",
       "2127        79.9667  67.7667  64.0667  ...   103.667   127.433   94.4667   \n",
       "2128        74.5333  67.7667  64.0667  ...   98.4667   127.433      70.6   \n",
       "2129        66.0333  67.7667  64.1333  ...   98.4667   127.433      70.6   \n",
       "2130        56.6667  75.3667  64.0667  ...   98.4667   131.733      70.6   \n",
       "2131        56.6667  81.8333  64.0667  ...   98.4667   134.933      70.6   \n",
       "2132        58.7667  85.4667  64.0667  ...   98.4667   127.433   77.3333   \n",
       "2133        62.5667  84.1333  64.0667  ...   98.4667   127.433   82.3333   \n",
       "2134        63.3333     79.4  64.0667  ...   98.4667   127.433   82.8667   \n",
       "2135        62.6333  67.7667  64.0667  ...   98.4667   127.433   80.6333   \n",
       "2136        64.1667  67.7667  64.0667  ...   98.4667   127.433   83.3667   \n",
       "2137           62.6  67.7667  64.0667  ...   100.033   127.433   99.4333   \n",
       "2138        59.8667  67.7667  64.0667  ...   101.067   127.433   111.167   \n",
       "2139        56.6667  67.7667  65.1333  ...   98.4667   127.433   101.833   \n",
       "2140        56.6667  67.7667  64.0667  ...   98.4667   127.433   88.8333   \n",
       "2141        56.6667  67.7667  66.7667  ...   98.4667   127.433   81.9333   \n",
       "2142        56.6667  71.6333     72.3  ...   98.4667   127.433      73.1   \n",
       "2143        58.6333  67.7667  70.9667  ...   98.4667   127.433      70.6   \n",
       "2144        63.8667  67.7667  64.0667  ...   98.4667   129.933      83.5   \n",
       "2145        65.3667  67.7667  64.0667  ...   98.8333   131.167   87.7667   \n",
       "2146           63.9  67.7667  64.0667  ...     102.4   142.733   80.8667   \n",
       "2147           67.1     68.8  64.8333  ...   104.067   157.167   77.8333   \n",
       "2148        66.1333  69.3667  64.4667  ...   101.467   153.133   74.1667   \n",
       "2149           63.2  67.7667     67.2  ...     106.5   147.867      70.6   \n",
       "2150           61.2  67.7667  68.8333  ...       107   135.533      70.6   \n",
       "\n",
       "           Normal 27 Normal 28.1 Normal 29 Normal 30.1 Normal 31.1 Normal 17  \\\n",
       "wavenumber                                                                     \n",
       "450          144.267     434.567   192.367     559.733       284.7   325.433   \n",
       "451            140.2       440.6   191.333     554.767     260.667   330.133   \n",
       "452          136.333     447.067   189.733       549.2     237.933   336.533   \n",
       "453            131.7     452.333   188.133     543.367     223.167     339.1   \n",
       "454          124.833     453.867     186.7       536.6     231.867   330.367   \n",
       "455            116.6       453.4   185.333     529.367     253.933   315.133   \n",
       "456          108.267     452.267   184.067     521.967     277.867     298.6   \n",
       "457            101.9       446.6     183.4     512.433     292.067   279.667   \n",
       "458            101.5     427.433   184.567       496.8     276.667     253.9   \n",
       "459          104.667     400.233   186.867     477.533       243.8   223.967   \n",
       "460          108.467     371.867     189.2       457.6     207.867   193.667   \n",
       "461          112.033     351.133     188.4       439.3       178.3     171.8   \n",
       "462          114.833     353.133   178.267       425.7     168.033   175.067   \n",
       "463            117.2     369.167   162.433     415.067     169.633   193.733   \n",
       "464          119.433       387.7     145.6     405.067     173.533   215.033   \n",
       "465          120.967       401.5   131.533     397.467       178.2     227.5   \n",
       "466          120.967     398.833   125.867       398.9       178.2     220.3   \n",
       "467            125.8       383.5     125.5     399.133       178.2     196.3   \n",
       "468            131.2     365.833   126.267     399.033       178.2     169.4   \n",
       "469          134.933     360.133   128.467       404.1       178.2   152.167   \n",
       "470          133.833     363.333   134.567     401.567       178.2   152.167   \n",
       "471            129.3       372.2     143.2     394.133     230.033   159.067   \n",
       "472            124.1         382   152.067     385.533     281.867     203.8   \n",
       "473              130     386.767   155.933       373.9       317.7   236.667   \n",
       "474          133.767       376.1   144.433       353.2     305.267   232.967   \n",
       "475          134.167     355.533   123.033     326.633     261.867   205.833   \n",
       "476            141.3       333.4   99.8667       299.4       212.9   174.333   \n",
       "477          146.367       318.9   81.7333     283.167     180.033   152.167   \n",
       "478          153.367     328.067   76.9333     289.333       178.2   152.167   \n",
       "479          159.133       352.3   75.5333     304.433       178.2   152.167   \n",
       "...              ...         ...       ...         ...         ...       ...   \n",
       "2121         139.167       100.5   79.2667     94.4333       178.2   152.967   \n",
       "2122         136.167        92.4   83.3667     95.4333       178.2   154.633   \n",
       "2123           140.3        92.4   76.8667        93.2       178.2   152.167   \n",
       "2124         146.433        92.4   79.9333        93.2       178.2   153.333   \n",
       "2125         132.033        92.4   76.0333        93.2       178.2   152.167   \n",
       "2126         120.967        92.4   70.0333        93.2       178.2   152.167   \n",
       "2127         120.967        92.4   59.1667        93.2       178.2   152.167   \n",
       "2128           122.2     93.2667   49.3333     98.5667       178.2   152.167   \n",
       "2129         122.867        92.4   49.3333       104.7       178.2   152.167   \n",
       "2130           132.1     95.0667   58.1667     113.467       178.2   152.167   \n",
       "2131         139.767        92.4      64.8       112.9       178.2   152.167   \n",
       "2132         132.667        92.4   49.3333        93.2       178.2   152.167   \n",
       "2133         120.967        92.4   49.3333        93.2       178.2   152.167   \n",
       "2134         120.967     97.7667   49.3333        93.2       178.2   152.167   \n",
       "2135         120.967     108.067      52.2        93.2       178.2   152.167   \n",
       "2136         120.967     113.933   49.3333     98.7333       178.2   152.167   \n",
       "2137         123.967       116.7   49.3333     106.367       178.2   166.567   \n",
       "2138         126.967       112.9      50.5     107.267       178.2   176.433   \n",
       "2139         126.933     98.5667   56.1333        93.2       178.2     168.3   \n",
       "2140         125.067        92.4   65.4667        93.2       178.2   152.167   \n",
       "2141         120.967        92.4   70.6667     96.7667     180.333   152.167   \n",
       "2142         120.967     96.2333      72.2     103.633     186.167     156.7   \n",
       "2143         120.967       100.3   68.6333     105.333       178.2   158.767   \n",
       "2144         120.967       106.4      61.1         107       188.8     159.3   \n",
       "2145         120.967       103.8   58.8667     102.567     191.467     155.5   \n",
       "2146         129.467       101.4      60.6     100.733       178.2   152.167   \n",
       "2147         136.567     96.7333   57.9333     100.533       178.2   152.167   \n",
       "2148         130.533        92.4   49.3333         109     184.433   152.167   \n",
       "2149         120.967        92.4   49.3333     115.733     188.167   152.167   \n",
       "2150         120.967        92.4   55.1333       111.3       178.2   155.333   \n",
       "\n",
       "           Normal 32  \n",
       "wavenumber            \n",
       "450            145.4  \n",
       "451          152.533  \n",
       "452          161.467  \n",
       "453          167.533  \n",
       "454          164.633  \n",
       "455          156.733  \n",
       "456          147.967  \n",
       "457            140.2  \n",
       "458          135.533  \n",
       "459          132.833  \n",
       "460            130.5  \n",
       "461            130.1  \n",
       "462          135.567  \n",
       "463            144.5  \n",
       "464            153.9  \n",
       "465          159.133  \n",
       "466          156.167  \n",
       "467          141.267  \n",
       "468          124.333  \n",
       "469          114.533  \n",
       "470          133.267  \n",
       "471          174.733  \n",
       "472          218.333  \n",
       "473            247.9  \n",
       "474          234.567  \n",
       "475          193.767  \n",
       "476          147.933  \n",
       "477          114.533  \n",
       "478          114.533  \n",
       "479          114.533  \n",
       "...              ...  \n",
       "2121         137.333  \n",
       "2122         139.333  \n",
       "2123           124.5  \n",
       "2124         123.067  \n",
       "2125           119.5  \n",
       "2126         114.533  \n",
       "2127         117.267  \n",
       "2128         124.533  \n",
       "2129         128.767  \n",
       "2130           126.5  \n",
       "2131         122.333  \n",
       "2132           120.8  \n",
       "2133         120.133  \n",
       "2134         114.533  \n",
       "2135         114.533  \n",
       "2136         114.533  \n",
       "2137         126.967  \n",
       "2138         135.967  \n",
       "2139         129.167  \n",
       "2140         130.167  \n",
       "2141           123.2  \n",
       "2142         114.533  \n",
       "2143         120.233  \n",
       "2144         135.667  \n",
       "2145           137.4  \n",
       "2146         114.533  \n",
       "2147         114.533  \n",
       "2148         114.533  \n",
       "2149         114.533  \n",
       "2150         117.333  \n",
       "\n",
       "[1701 rows x 79 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ijkc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "_ = plt.plot(wv_c, df_ijkc, color='lightgray')\n",
    "_ = plt.plot(wv_c, df_ijkc.mean(axis=1), color='black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Normalization by MinMaxScaler\n",
    "scaler = MinMaxScaler()\n",
    "scaler.fit(df_ijkc)\n",
    "df_scaled = scaler.transform(df_ijkc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_scaled = pd.DataFrame(df_scaled, columns = df_ijkc.columns , index = df_ijkc.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>Pro 2</th>\n",
       "      <th>Pro 3</th>\n",
       "      <th>Pro 4</th>\n",
       "      <th>Pro 5</th>\n",
       "      <th>Pro 6</th>\n",
       "      <th>Pro 11</th>\n",
       "      <th>Pro 12</th>\n",
       "      <th>Pro 24</th>\n",
       "      <th>Pro 25</th>\n",
       "      <th>Pro 26</th>\n",
       "      <th>...</th>\n",
       "      <th>Normal 24</th>\n",
       "      <th>Normal 25</th>\n",
       "      <th>Normal 26</th>\n",
       "      <th>Normal 27</th>\n",
       "      <th>Normal 28.1</th>\n",
       "      <th>Normal 29</th>\n",
       "      <th>Normal 30.1</th>\n",
       "      <th>Normal 31.1</th>\n",
       "      <th>Normal 17</th>\n",
       "      <th>Normal 32</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wavenumber</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>0.127357</td>\n",
       "      <td>0.123484</td>\n",
       "      <td>0.164392</td>\n",
       "      <td>0.242727</td>\n",
       "      <td>0.160014</td>\n",
       "      <td>0.086731</td>\n",
       "      <td>0.232703</td>\n",
       "      <td>0.143805</td>\n",
       "      <td>0.142210</td>\n",
       "      <td>0.273459</td>\n",
       "      <td>...</td>\n",
       "      <td>0.338527</td>\n",
       "      <td>0.324303</td>\n",
       "      <td>0.334608</td>\n",
       "      <td>0.109257</td>\n",
       "      <td>0.946606</td>\n",
       "      <td>0.168156</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.266585</td>\n",
       "      <td>0.372483</td>\n",
       "      <td>0.113065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>0.135103</td>\n",
       "      <td>0.110175</td>\n",
       "      <td>0.181693</td>\n",
       "      <td>0.237231</td>\n",
       "      <td>0.153166</td>\n",
       "      <td>0.084183</td>\n",
       "      <td>0.235981</td>\n",
       "      <td>0.141639</td>\n",
       "      <td>0.143342</td>\n",
       "      <td>0.244398</td>\n",
       "      <td>...</td>\n",
       "      <td>0.357951</td>\n",
       "      <td>0.314882</td>\n",
       "      <td>0.322294</td>\n",
       "      <td>0.098867</td>\n",
       "      <td>0.963298</td>\n",
       "      <td>0.166941</td>\n",
       "      <td>0.989354</td>\n",
       "      <td>0.211669</td>\n",
       "      <td>0.382587</td>\n",
       "      <td>0.139194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>0.142450</td>\n",
       "      <td>0.096220</td>\n",
       "      <td>0.200372</td>\n",
       "      <td>0.231457</td>\n",
       "      <td>0.146270</td>\n",
       "      <td>0.081684</td>\n",
       "      <td>0.240122</td>\n",
       "      <td>0.139270</td>\n",
       "      <td>0.145355</td>\n",
       "      <td>0.214169</td>\n",
       "      <td>...</td>\n",
       "      <td>0.382782</td>\n",
       "      <td>0.307493</td>\n",
       "      <td>0.309851</td>\n",
       "      <td>0.088989</td>\n",
       "      <td>0.981188</td>\n",
       "      <td>0.165060</td>\n",
       "      <td>0.977422</td>\n",
       "      <td>0.159723</td>\n",
       "      <td>0.396345</td>\n",
       "      <td>0.171917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>0.149741</td>\n",
       "      <td>0.083677</td>\n",
       "      <td>0.211607</td>\n",
       "      <td>0.228348</td>\n",
       "      <td>0.143114</td>\n",
       "      <td>0.080606</td>\n",
       "      <td>0.243803</td>\n",
       "      <td>0.133383</td>\n",
       "      <td>0.151959</td>\n",
       "      <td>0.188375</td>\n",
       "      <td>...</td>\n",
       "      <td>0.407542</td>\n",
       "      <td>0.297272</td>\n",
       "      <td>0.300713</td>\n",
       "      <td>0.077152</td>\n",
       "      <td>0.995758</td>\n",
       "      <td>0.163179</td>\n",
       "      <td>0.964919</td>\n",
       "      <td>0.125981</td>\n",
       "      <td>0.401863</td>\n",
       "      <td>0.194139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>0.156633</td>\n",
       "      <td>0.075609</td>\n",
       "      <td>0.200648</td>\n",
       "      <td>0.232789</td>\n",
       "      <td>0.151418</td>\n",
       "      <td>0.083889</td>\n",
       "      <td>0.246103</td>\n",
       "      <td>0.117412</td>\n",
       "      <td>0.171835</td>\n",
       "      <td>0.176296</td>\n",
       "      <td>...</td>\n",
       "      <td>0.431732</td>\n",
       "      <td>0.278801</td>\n",
       "      <td>0.301426</td>\n",
       "      <td>0.059610</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.161494</td>\n",
       "      <td>0.950414</td>\n",
       "      <td>0.145860</td>\n",
       "      <td>0.383089</td>\n",
       "      <td>0.183516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>0.163411</td>\n",
       "      <td>0.070133</td>\n",
       "      <td>0.177006</td>\n",
       "      <td>0.241561</td>\n",
       "      <td>0.166084</td>\n",
       "      <td>0.089720</td>\n",
       "      <td>0.247369</td>\n",
       "      <td>0.095351</td>\n",
       "      <td>0.199384</td>\n",
       "      <td>0.171802</td>\n",
       "      <td>...</td>\n",
       "      <td>0.455567</td>\n",
       "      <td>0.255649</td>\n",
       "      <td>0.307712</td>\n",
       "      <td>0.038576</td>\n",
       "      <td>0.998709</td>\n",
       "      <td>0.159887</td>\n",
       "      <td>0.934910</td>\n",
       "      <td>0.196283</td>\n",
       "      <td>0.350340</td>\n",
       "      <td>0.154579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>0.169619</td>\n",
       "      <td>0.065128</td>\n",
       "      <td>0.151089</td>\n",
       "      <td>0.250833</td>\n",
       "      <td>0.181721</td>\n",
       "      <td>0.095796</td>\n",
       "      <td>0.248519</td>\n",
       "      <td>0.072545</td>\n",
       "      <td>0.227499</td>\n",
       "      <td>0.168709</td>\n",
       "      <td>...</td>\n",
       "      <td>0.478549</td>\n",
       "      <td>0.231513</td>\n",
       "      <td>0.314776</td>\n",
       "      <td>0.017287</td>\n",
       "      <td>0.995574</td>\n",
       "      <td>0.158398</td>\n",
       "      <td>0.919048</td>\n",
       "      <td>0.250971</td>\n",
       "      <td>0.314798</td>\n",
       "      <td>0.122466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>0.167227</td>\n",
       "      <td>0.060888</td>\n",
       "      <td>0.126068</td>\n",
       "      <td>0.254330</td>\n",
       "      <td>0.192988</td>\n",
       "      <td>0.097903</td>\n",
       "      <td>0.246333</td>\n",
       "      <td>0.052852</td>\n",
       "      <td>0.239449</td>\n",
       "      <td>0.165966</td>\n",
       "      <td>...</td>\n",
       "      <td>0.484240</td>\n",
       "      <td>0.206391</td>\n",
       "      <td>0.316397</td>\n",
       "      <td>0.001022</td>\n",
       "      <td>0.979897</td>\n",
       "      <td>0.157614</td>\n",
       "      <td>0.898614</td>\n",
       "      <td>0.283418</td>\n",
       "      <td>0.274095</td>\n",
       "      <td>0.094017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>0.139261</td>\n",
       "      <td>0.058945</td>\n",
       "      <td>0.104494</td>\n",
       "      <td>0.240395</td>\n",
       "      <td>0.190899</td>\n",
       "      <td>0.088250</td>\n",
       "      <td>0.234428</td>\n",
       "      <td>0.042837</td>\n",
       "      <td>0.203661</td>\n",
       "      <td>0.163807</td>\n",
       "      <td>...</td>\n",
       "      <td>0.438705</td>\n",
       "      <td>0.178129</td>\n",
       "      <td>0.301685</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.926872</td>\n",
       "      <td>0.158986</td>\n",
       "      <td>0.865104</td>\n",
       "      <td>0.248229</td>\n",
       "      <td>0.218703</td>\n",
       "      <td>0.076923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>0.096144</td>\n",
       "      <td>0.058297</td>\n",
       "      <td>0.084712</td>\n",
       "      <td>0.216134</td>\n",
       "      <td>0.180847</td>\n",
       "      <td>0.071639</td>\n",
       "      <td>0.216714</td>\n",
       "      <td>0.038506</td>\n",
       "      <td>0.139506</td>\n",
       "      <td>0.161881</td>\n",
       "      <td>...</td>\n",
       "      <td>0.362860</td>\n",
       "      <td>0.147897</td>\n",
       "      <td>0.277317</td>\n",
       "      <td>0.008090</td>\n",
       "      <td>0.851623</td>\n",
       "      <td>0.161690</td>\n",
       "      <td>0.823807</td>\n",
       "      <td>0.173128</td>\n",
       "      <td>0.154353</td>\n",
       "      <td>0.067033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>0.050635</td>\n",
       "      <td>0.058003</td>\n",
       "      <td>0.065550</td>\n",
       "      <td>0.190095</td>\n",
       "      <td>0.169289</td>\n",
       "      <td>0.053900</td>\n",
       "      <td>0.197964</td>\n",
       "      <td>0.035257</td>\n",
       "      <td>0.070570</td>\n",
       "      <td>0.160014</td>\n",
       "      <td>...</td>\n",
       "      <td>0.282248</td>\n",
       "      <td>0.117665</td>\n",
       "      <td>0.251264</td>\n",
       "      <td>0.017798</td>\n",
       "      <td>0.773146</td>\n",
       "      <td>0.164433</td>\n",
       "      <td>0.781080</td>\n",
       "      <td>0.091020</td>\n",
       "      <td>0.089215</td>\n",
       "      <td>0.058486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>0.016802</td>\n",
       "      <td>0.059004</td>\n",
       "      <td>0.052592</td>\n",
       "      <td>0.167610</td>\n",
       "      <td>0.157634</td>\n",
       "      <td>0.040817</td>\n",
       "      <td>0.178467</td>\n",
       "      <td>0.032618</td>\n",
       "      <td>0.014969</td>\n",
       "      <td>0.156804</td>\n",
       "      <td>...</td>\n",
       "      <td>0.222697</td>\n",
       "      <td>0.092297</td>\n",
       "      <td>0.229747</td>\n",
       "      <td>0.026910</td>\n",
       "      <td>0.715788</td>\n",
       "      <td>0.163492</td>\n",
       "      <td>0.741855</td>\n",
       "      <td>0.023460</td>\n",
       "      <td>0.042207</td>\n",
       "      <td>0.057021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>0.017999</td>\n",
       "      <td>0.063538</td>\n",
       "      <td>0.057554</td>\n",
       "      <td>0.156007</td>\n",
       "      <td>0.145979</td>\n",
       "      <td>0.041699</td>\n",
       "      <td>0.157301</td>\n",
       "      <td>0.027949</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.149568</td>\n",
       "      <td>...</td>\n",
       "      <td>0.226539</td>\n",
       "      <td>0.081461</td>\n",
       "      <td>0.222100</td>\n",
       "      <td>0.034063</td>\n",
       "      <td>0.721321</td>\n",
       "      <td>0.151579</td>\n",
       "      <td>0.712704</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.049230</td>\n",
       "      <td>0.077045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>0.040781</td>\n",
       "      <td>0.070310</td>\n",
       "      <td>0.073752</td>\n",
       "      <td>0.151177</td>\n",
       "      <td>0.134227</td>\n",
       "      <td>0.051156</td>\n",
       "      <td>0.134986</td>\n",
       "      <td>0.024227</td>\n",
       "      <td>0.010001</td>\n",
       "      <td>0.139998</td>\n",
       "      <td>...</td>\n",
       "      <td>0.269441</td>\n",
       "      <td>0.079552</td>\n",
       "      <td>0.222942</td>\n",
       "      <td>0.040109</td>\n",
       "      <td>0.765677</td>\n",
       "      <td>0.132965</td>\n",
       "      <td>0.689911</td>\n",
       "      <td>0.003656</td>\n",
       "      <td>0.089359</td>\n",
       "      <td>0.109768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>0.067494</td>\n",
       "      <td>0.077494</td>\n",
       "      <td>0.092018</td>\n",
       "      <td>0.147679</td>\n",
       "      <td>0.122572</td>\n",
       "      <td>0.062084</td>\n",
       "      <td>0.112670</td>\n",
       "      <td>0.020776</td>\n",
       "      <td>0.024719</td>\n",
       "      <td>0.129844</td>\n",
       "      <td>...</td>\n",
       "      <td>0.319104</td>\n",
       "      <td>0.079059</td>\n",
       "      <td>0.225211</td>\n",
       "      <td>0.045815</td>\n",
       "      <td>0.816949</td>\n",
       "      <td>0.113175</td>\n",
       "      <td>0.668477</td>\n",
       "      <td>0.012568</td>\n",
       "      <td>0.135149</td>\n",
       "      <td>0.144200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>0.089195</td>\n",
       "      <td>0.082087</td>\n",
       "      <td>0.108630</td>\n",
       "      <td>0.145792</td>\n",
       "      <td>0.112082</td>\n",
       "      <td>0.071051</td>\n",
       "      <td>0.095301</td>\n",
       "      <td>0.026528</td>\n",
       "      <td>0.036606</td>\n",
       "      <td>0.118114</td>\n",
       "      <td>...</td>\n",
       "      <td>0.351263</td>\n",
       "      <td>0.073887</td>\n",
       "      <td>0.223526</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.855127</td>\n",
       "      <td>0.096638</td>\n",
       "      <td>0.652186</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.161949</td>\n",
       "      <td>0.163370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>0.099561</td>\n",
       "      <td>0.079084</td>\n",
       "      <td>0.112007</td>\n",
       "      <td>0.148457</td>\n",
       "      <td>0.105526</td>\n",
       "      <td>0.072913</td>\n",
       "      <td>0.096279</td>\n",
       "      <td>0.035054</td>\n",
       "      <td>0.044028</td>\n",
       "      <td>0.104692</td>\n",
       "      <td>...</td>\n",
       "      <td>0.329634</td>\n",
       "      <td>0.064713</td>\n",
       "      <td>0.209592</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.847750</td>\n",
       "      <td>0.089976</td>\n",
       "      <td>0.655259</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.146471</td>\n",
       "      <td>0.152503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>0.100188</td>\n",
       "      <td>0.071193</td>\n",
       "      <td>0.116005</td>\n",
       "      <td>0.154119</td>\n",
       "      <td>0.095862</td>\n",
       "      <td>0.070659</td>\n",
       "      <td>0.109104</td>\n",
       "      <td>0.041483</td>\n",
       "      <td>0.051638</td>\n",
       "      <td>0.088410</td>\n",
       "      <td>...</td>\n",
       "      <td>0.274422</td>\n",
       "      <td>0.042362</td>\n",
       "      <td>0.187946</td>\n",
       "      <td>0.062080</td>\n",
       "      <td>0.805330</td>\n",
       "      <td>0.089545</td>\n",
       "      <td>0.655759</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.094876</td>\n",
       "      <td>0.097924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>0.098821</td>\n",
       "      <td>0.062360</td>\n",
       "      <td>0.120072</td>\n",
       "      <td>0.160171</td>\n",
       "      <td>0.093240</td>\n",
       "      <td>0.067621</td>\n",
       "      <td>0.123426</td>\n",
       "      <td>0.047371</td>\n",
       "      <td>0.058117</td>\n",
       "      <td>0.071720</td>\n",
       "      <td>...</td>\n",
       "      <td>0.213163</td>\n",
       "      <td>0.017610</td>\n",
       "      <td>0.164874</td>\n",
       "      <td>0.075875</td>\n",
       "      <td>0.756455</td>\n",
       "      <td>0.090446</td>\n",
       "      <td>0.655544</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.037048</td>\n",
       "      <td>0.035897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>0.098593</td>\n",
       "      <td>0.053586</td>\n",
       "      <td>0.123863</td>\n",
       "      <td>0.164557</td>\n",
       "      <td>0.092609</td>\n",
       "      <td>0.065269</td>\n",
       "      <td>0.136309</td>\n",
       "      <td>0.051837</td>\n",
       "      <td>0.068998</td>\n",
       "      <td>0.058532</td>\n",
       "      <td>...</td>\n",
       "      <td>0.166845</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.145949</td>\n",
       "      <td>0.085413</td>\n",
       "      <td>0.740686</td>\n",
       "      <td>0.093032</td>\n",
       "      <td>0.666405</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>0.097796</td>\n",
       "      <td>0.045107</td>\n",
       "      <td>0.136476</td>\n",
       "      <td>0.163558</td>\n",
       "      <td>0.097902</td>\n",
       "      <td>0.065073</td>\n",
       "      <td>0.144533</td>\n",
       "      <td>0.051770</td>\n",
       "      <td>0.070633</td>\n",
       "      <td>0.050362</td>\n",
       "      <td>...</td>\n",
       "      <td>0.163927</td>\n",
       "      <td>0.022597</td>\n",
       "      <td>0.139533</td>\n",
       "      <td>0.082602</td>\n",
       "      <td>0.749539</td>\n",
       "      <td>0.100204</td>\n",
       "      <td>0.660975</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.068620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>0.091417</td>\n",
       "      <td>0.031739</td>\n",
       "      <td>0.149642</td>\n",
       "      <td>0.159283</td>\n",
       "      <td>0.106983</td>\n",
       "      <td>0.066739</td>\n",
       "      <td>0.149767</td>\n",
       "      <td>0.048860</td>\n",
       "      <td>0.066482</td>\n",
       "      <td>0.041900</td>\n",
       "      <td>...</td>\n",
       "      <td>0.160583</td>\n",
       "      <td>0.081461</td>\n",
       "      <td>0.145107</td>\n",
       "      <td>0.071021</td>\n",
       "      <td>0.774069</td>\n",
       "      <td>0.110353</td>\n",
       "      <td>0.645041</td>\n",
       "      <td>0.141671</td>\n",
       "      <td>0.014833</td>\n",
       "      <td>0.220513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>0.083841</td>\n",
       "      <td>0.023495</td>\n",
       "      <td>0.162186</td>\n",
       "      <td>0.154175</td>\n",
       "      <td>0.116502</td>\n",
       "      <td>0.068552</td>\n",
       "      <td>0.154138</td>\n",
       "      <td>0.050552</td>\n",
       "      <td>0.074596</td>\n",
       "      <td>0.049311</td>\n",
       "      <td>...</td>\n",
       "      <td>0.156955</td>\n",
       "      <td>0.144265</td>\n",
       "      <td>0.151458</td>\n",
       "      <td>0.057737</td>\n",
       "      <td>0.801180</td>\n",
       "      <td>0.120777</td>\n",
       "      <td>0.626608</td>\n",
       "      <td>0.260111</td>\n",
       "      <td>0.111000</td>\n",
       "      <td>0.380220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>0.091189</td>\n",
       "      <td>0.017371</td>\n",
       "      <td>0.170251</td>\n",
       "      <td>0.146791</td>\n",
       "      <td>0.118930</td>\n",
       "      <td>0.068209</td>\n",
       "      <td>0.153103</td>\n",
       "      <td>0.050078</td>\n",
       "      <td>0.080886</td>\n",
       "      <td>0.053630</td>\n",
       "      <td>...</td>\n",
       "      <td>0.148488</td>\n",
       "      <td>0.215442</td>\n",
       "      <td>0.152495</td>\n",
       "      <td>0.072809</td>\n",
       "      <td>0.814367</td>\n",
       "      <td>0.125323</td>\n",
       "      <td>0.601672</td>\n",
       "      <td>0.341991</td>\n",
       "      <td>0.181655</td>\n",
       "      <td>0.488523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>0.086917</td>\n",
       "      <td>0.017842</td>\n",
       "      <td>0.164254</td>\n",
       "      <td>0.132689</td>\n",
       "      <td>0.099650</td>\n",
       "      <td>0.061152</td>\n",
       "      <td>0.135791</td>\n",
       "      <td>0.042972</td>\n",
       "      <td>0.081515</td>\n",
       "      <td>0.048086</td>\n",
       "      <td>...</td>\n",
       "      <td>0.132266</td>\n",
       "      <td>0.208238</td>\n",
       "      <td>0.136747</td>\n",
       "      <td>0.082432</td>\n",
       "      <td>0.784858</td>\n",
       "      <td>0.111803</td>\n",
       "      <td>0.557302</td>\n",
       "      <td>0.313581</td>\n",
       "      <td>0.173701</td>\n",
       "      <td>0.439683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>0.070114</td>\n",
       "      <td>0.017901</td>\n",
       "      <td>0.149228</td>\n",
       "      <td>0.114313</td>\n",
       "      <td>0.064200</td>\n",
       "      <td>0.051744</td>\n",
       "      <td>0.116064</td>\n",
       "      <td>0.031603</td>\n",
       "      <td>0.078496</td>\n",
       "      <td>0.036239</td>\n",
       "      <td>...</td>\n",
       "      <td>0.098470</td>\n",
       "      <td>0.150853</td>\n",
       "      <td>0.122878</td>\n",
       "      <td>0.083454</td>\n",
       "      <td>0.727960</td>\n",
       "      <td>0.086645</td>\n",
       "      <td>0.500357</td>\n",
       "      <td>0.214411</td>\n",
       "      <td>0.115371</td>\n",
       "      <td>0.290232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>0.063166</td>\n",
       "      <td>0.017725</td>\n",
       "      <td>0.132272</td>\n",
       "      <td>0.095270</td>\n",
       "      <td>0.029040</td>\n",
       "      <td>0.041748</td>\n",
       "      <td>0.094841</td>\n",
       "      <td>0.019625</td>\n",
       "      <td>0.074785</td>\n",
       "      <td>0.023518</td>\n",
       "      <td>...</td>\n",
       "      <td>0.061259</td>\n",
       "      <td>0.083800</td>\n",
       "      <td>0.107712</td>\n",
       "      <td>0.101678</td>\n",
       "      <td>0.666728</td>\n",
       "      <td>0.059409</td>\n",
       "      <td>0.441983</td>\n",
       "      <td>0.102521</td>\n",
       "      <td>0.047653</td>\n",
       "      <td>0.122344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>0.057185</td>\n",
       "      <td>0.016782</td>\n",
       "      <td>0.113868</td>\n",
       "      <td>0.081002</td>\n",
       "      <td>0.005293</td>\n",
       "      <td>0.033320</td>\n",
       "      <td>0.079945</td>\n",
       "      <td>0.010286</td>\n",
       "      <td>0.072143</td>\n",
       "      <td>0.018616</td>\n",
       "      <td>...</td>\n",
       "      <td>0.028815</td>\n",
       "      <td>0.031710</td>\n",
       "      <td>0.093260</td>\n",
       "      <td>0.114621</td>\n",
       "      <td>0.626614</td>\n",
       "      <td>0.038091</td>\n",
       "      <td>0.407188</td>\n",
       "      <td>0.027420</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>0.056673</td>\n",
       "      <td>0.013190</td>\n",
       "      <td>0.096774</td>\n",
       "      <td>0.080946</td>\n",
       "      <td>0.005002</td>\n",
       "      <td>0.031752</td>\n",
       "      <td>0.076034</td>\n",
       "      <td>0.009000</td>\n",
       "      <td>0.072709</td>\n",
       "      <td>0.019374</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011455</td>\n",
       "      <td>0.019703</td>\n",
       "      <td>0.081529</td>\n",
       "      <td>0.132504</td>\n",
       "      <td>0.651973</td>\n",
       "      <td>0.032448</td>\n",
       "      <td>0.420406</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>0.048186</td>\n",
       "      <td>0.008008</td>\n",
       "      <td>0.067066</td>\n",
       "      <td>0.088219</td>\n",
       "      <td>0.003157</td>\n",
       "      <td>0.034300</td>\n",
       "      <td>0.070397</td>\n",
       "      <td>0.012113</td>\n",
       "      <td>0.075288</td>\n",
       "      <td>0.048786</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000498</td>\n",
       "      <td>0.015701</td>\n",
       "      <td>0.075308</td>\n",
       "      <td>0.147237</td>\n",
       "      <td>0.719015</td>\n",
       "      <td>0.030802</td>\n",
       "      <td>0.452772</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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",
       "      <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>2121</th>\n",
       "      <td>0.005525</td>\n",
       "      <td>0.002591</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002622</td>\n",
       "      <td>0.006468</td>\n",
       "      <td>0.015874</td>\n",
       "      <td>0.092238</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.005777</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009321</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002852</td>\n",
       "      <td>0.096228</td>\n",
       "      <td>0.022409</td>\n",
       "      <td>0.035191</td>\n",
       "      <td>0.002644</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.001720</td>\n",
       "      <td>0.083516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2122</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004905</td>\n",
       "      <td>0.002989</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.081546</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.007820</td>\n",
       "      <td>...</td>\n",
       "      <td>0.014016</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.088563</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040011</td>\n",
       "      <td>0.004787</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.005303</td>\n",
       "      <td>0.090842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2123</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004031</td>\n",
       "      <td>0.002450</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.069500</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.003326</td>\n",
       "      <td>...</td>\n",
       "      <td>0.024618</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.016008</td>\n",
       "      <td>0.099123</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.032369</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.036508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2124</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005684</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.054883</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.005952</td>\n",
       "      <td>...</td>\n",
       "      <td>0.045180</td>\n",
       "      <td>0.011637</td>\n",
       "      <td>0.034608</td>\n",
       "      <td>0.114792</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035975</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.002508</td>\n",
       "      <td>0.031258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2125</th>\n",
       "      <td>0.002278</td>\n",
       "      <td>0.002120</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004704</td>\n",
       "      <td>0.014954</td>\n",
       "      <td>0.043987</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.034294</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.055087</td>\n",
       "      <td>0.078004</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.018193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2126</th>\n",
       "      <td>0.007347</td>\n",
       "      <td>0.008480</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.032783</td>\n",
       "      <td>0.049672</td>\n",
       "      <td>0.025285</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013305</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.072586</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.024336</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2127</th>\n",
       "      <td>0.006550</td>\n",
       "      <td>0.007243</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022603</td>\n",
       "      <td>0.047303</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011099</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.046403</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011560</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2128</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006595</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003675</td>\n",
       "      <td>0.008167</td>\n",
       "      <td>0.036273</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.052883</td>\n",
       "      <td>0.002398</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011503</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.036630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2129</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012837</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004753</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.019016</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.000117</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.054586</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.024650</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.052137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2130</th>\n",
       "      <td>0.001595</td>\n",
       "      <td>0.017960</td>\n",
       "      <td>0.012683</td>\n",
       "      <td>0.006107</td>\n",
       "      <td>0.005148</td>\n",
       "      <td>0.012789</td>\n",
       "      <td>0.016392</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.033964</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007943</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078174</td>\n",
       "      <td>0.007377</td>\n",
       "      <td>0.010385</td>\n",
       "      <td>0.043441</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.043834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2131</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023790</td>\n",
       "      <td>0.019782</td>\n",
       "      <td>0.010104</td>\n",
       "      <td>0.008304</td>\n",
       "      <td>0.023226</td>\n",
       "      <td>0.025824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.046166</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013854</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.097760</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.018183</td>\n",
       "      <td>0.042226</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.028571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2132</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011365</td>\n",
       "      <td>0.003240</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010094</td>\n",
       "      <td>0.006039</td>\n",
       "      <td>0.004263</td>\n",
       "      <td>0.053022</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013091</td>\n",
       "      <td>0.079622</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2133</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010541</td>\n",
       "      <td>0.006686</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010468</td>\n",
       "      <td>0.011978</td>\n",
       "      <td>0.050506</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022813</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2134</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013535</td>\n",
       "      <td>0.041575</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023850</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.014847</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2135</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003446</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006223</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012113</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.019507</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.043342</td>\n",
       "      <td>0.003370</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2136</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.015226</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.024822</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.059572</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011861</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2137</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001360</td>\n",
       "      <td>0.003332</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012046</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003344</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.056060</td>\n",
       "      <td>0.057396</td>\n",
       "      <td>0.067226</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.028222</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.030957</td>\n",
       "      <td>0.045543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2138</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005771</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003594</td>\n",
       "      <td>0.003283</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006497</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.005550</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078872</td>\n",
       "      <td>0.065060</td>\n",
       "      <td>0.056713</td>\n",
       "      <td>0.001372</td>\n",
       "      <td>0.030151</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.052168</td>\n",
       "      <td>0.078510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2139</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020963</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005293</td>\n",
       "      <td>0.001666</td>\n",
       "      <td>0.001955</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.001867</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.060726</td>\n",
       "      <td>0.064975</td>\n",
       "      <td>0.017060</td>\n",
       "      <td>0.007994</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.034683</td>\n",
       "      <td>0.053602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2140</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.038747</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005050</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002646</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035450</td>\n",
       "      <td>0.060206</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.018967</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.057265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2141</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.038276</td>\n",
       "      <td>0.002206</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003822</td>\n",
       "      <td>0.004486</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.004727</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022035</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.025080</td>\n",
       "      <td>0.007645</td>\n",
       "      <td>0.028106</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2142</th>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.006824</td>\n",
       "      <td>0.003498</td>\n",
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       "      <td>0.006370</td>\n",
       "      <td>0.004486</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026920</td>\n",
       "      <td>0.014414</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004861</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.010605</td>\n",
       "      <td>0.026883</td>\n",
       "      <td>0.022364</td>\n",
       "      <td>0.041435</td>\n",
       "      <td>0.009746</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2143</th>\n",
       "      <td>0.002563</td>\n",
       "      <td>0.027146</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003993</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.012080</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.021855</td>\n",
       "      <td>0.022690</td>\n",
       "      <td>0.026007</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.014188</td>\n",
       "      <td>0.020879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2144</th>\n",
       "      <td>0.023523</td>\n",
       "      <td>0.016311</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003054</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007822</td>\n",
       "      <td>0.014617</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004618</td>\n",
       "      <td>0.025081</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.038731</td>\n",
       "      <td>0.013833</td>\n",
       "      <td>0.029580</td>\n",
       "      <td>0.047452</td>\n",
       "      <td>0.015335</td>\n",
       "      <td>0.077412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2145</th>\n",
       "      <td>0.029447</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001055</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009432</td>\n",
       "      <td>0.017663</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000783</td>\n",
       "      <td>0.006896</td>\n",
       "      <td>0.033377</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.031538</td>\n",
       "      <td>0.011208</td>\n",
       "      <td>0.020077</td>\n",
       "      <td>0.053546</td>\n",
       "      <td>0.007166</td>\n",
       "      <td>0.083761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2146</th>\n",
       "      <td>0.009056</td>\n",
       "      <td>0.006595</td>\n",
       "      <td>0.005652</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000728</td>\n",
       "      <td>0.006811</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014685</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.008396</td>\n",
       "      <td>0.028262</td>\n",
       "      <td>0.019961</td>\n",
       "      <td>0.071447</td>\n",
       "      <td>0.024899</td>\n",
       "      <td>0.013246</td>\n",
       "      <td>0.016147</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2147</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009481</td>\n",
       "      <td>0.008823</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005002</td>\n",
       "      <td>0.014259</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.021182</td>\n",
       "      <td>0.021574</td>\n",
       "      <td>0.001342</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011953</td>\n",
       "      <td>0.054923</td>\n",
       "      <td>0.014064</td>\n",
       "      <td>0.089585</td>\n",
       "      <td>0.011988</td>\n",
       "      <td>0.010111</td>\n",
       "      <td>0.015719</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2148</th>\n",
       "      <td>0.007632</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012062</td>\n",
       "      <td>0.005385</td>\n",
       "      <td>0.007236</td>\n",
       "      <td>0.017101</td>\n",
       "      <td>0.005464</td>\n",
       "      <td>0.019219</td>\n",
       "      <td>0.022643</td>\n",
       "      <td>0.000700</td>\n",
       "      <td>...</td>\n",
       "      <td>0.006403</td>\n",
       "      <td>0.047472</td>\n",
       "      <td>0.006935</td>\n",
       "      <td>0.074172</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.033867</td>\n",
       "      <td>0.037474</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2149</th>\n",
       "      <td>0.018454</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.025986</td>\n",
       "      <td>0.008272</td>\n",
       "      <td>0.008304</td>\n",
       "      <td>0.024990</td>\n",
       "      <td>0.012078</td>\n",
       "      <td>0.013264</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.005486</td>\n",
       "      <td>...</td>\n",
       "      <td>0.017147</td>\n",
       "      <td>0.037744</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.048300</td>\n",
       "      <td>0.046005</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2150</th>\n",
       "      <td>0.019536</td>\n",
       "      <td>0.009716</td>\n",
       "      <td>0.028122</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.008304</td>\n",
       "      <td>0.018914</td>\n",
       "      <td>0.018577</td>\n",
       "      <td>0.009203</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.008345</td>\n",
       "      <td>...</td>\n",
       "      <td>0.018214</td>\n",
       "      <td>0.014962</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006819</td>\n",
       "      <td>0.038797</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.006808</td>\n",
       "      <td>0.010256</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1701 rows × 79 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Pro 2     Pro 3     Pro 4     Pro 5     Pro 6    Pro 11  \\\n",
       "wavenumber                                                               \n",
       "450         0.127357  0.123484  0.164392  0.242727  0.160014  0.086731   \n",
       "451         0.135103  0.110175  0.181693  0.237231  0.153166  0.084183   \n",
       "452         0.142450  0.096220  0.200372  0.231457  0.146270  0.081684   \n",
       "453         0.149741  0.083677  0.211607  0.228348  0.143114  0.080606   \n",
       "454         0.156633  0.075609  0.200648  0.232789  0.151418  0.083889   \n",
       "455         0.163411  0.070133  0.177006  0.241561  0.166084  0.089720   \n",
       "456         0.169619  0.065128  0.151089  0.250833  0.181721  0.095796   \n",
       "457         0.167227  0.060888  0.126068  0.254330  0.192988  0.097903   \n",
       "458         0.139261  0.058945  0.104494  0.240395  0.190899  0.088250   \n",
       "459         0.096144  0.058297  0.084712  0.216134  0.180847  0.071639   \n",
       "460         0.050635  0.058003  0.065550  0.190095  0.169289  0.053900   \n",
       "461         0.016802  0.059004  0.052592  0.167610  0.157634  0.040817   \n",
       "462         0.017999  0.063538  0.057554  0.156007  0.145979  0.041699   \n",
       "463         0.040781  0.070310  0.073752  0.151177  0.134227  0.051156   \n",
       "464         0.067494  0.077494  0.092018  0.147679  0.122572  0.062084   \n",
       "465         0.089195  0.082087  0.108630  0.145792  0.112082  0.071051   \n",
       "466         0.099561  0.079084  0.112007  0.148457  0.105526  0.072913   \n",
       "467         0.100188  0.071193  0.116005  0.154119  0.095862  0.070659   \n",
       "468         0.098821  0.062360  0.120072  0.160171  0.093240  0.067621   \n",
       "469         0.098593  0.053586  0.123863  0.164557  0.092609  0.065269   \n",
       "470         0.097796  0.045107  0.136476  0.163558  0.097902  0.065073   \n",
       "471         0.091417  0.031739  0.149642  0.159283  0.106983  0.066739   \n",
       "472         0.083841  0.023495  0.162186  0.154175  0.116502  0.068552   \n",
       "473         0.091189  0.017371  0.170251  0.146791  0.118930  0.068209   \n",
       "474         0.086917  0.017842  0.164254  0.132689  0.099650  0.061152   \n",
       "475         0.070114  0.017901  0.149228  0.114313  0.064200  0.051744   \n",
       "476         0.063166  0.017725  0.132272  0.095270  0.029040  0.041748   \n",
       "477         0.057185  0.016782  0.113868  0.081002  0.005293  0.033320   \n",
       "478         0.056673  0.013190  0.096774  0.080946  0.005002  0.031752   \n",
       "479         0.048186  0.008008  0.067066  0.088219  0.003157  0.034300   \n",
       "...              ...       ...       ...       ...       ...       ...   \n",
       "2121        0.005525  0.002591  0.000000  0.000000  0.002622  0.006468   \n",
       "2122        0.000000  0.000000  0.000000  0.000000  0.004905  0.002989   \n",
       "2123        0.000000  0.000000  0.000000  0.000000  0.004031  0.002450   \n",
       "2124        0.000000  0.000000  0.000000  0.000000  0.000000  0.005684   \n",
       "2125        0.002278  0.002120  0.000000  0.000000  0.000000  0.004704   \n",
       "2126        0.007347  0.008480  0.000000  0.000000  0.000000  0.000000   \n",
       "2127        0.006550  0.007243  0.000000  0.000000  0.000000  0.000000   \n",
       "2128        0.000000  0.006595  0.000000  0.000000  0.000000  0.003675   \n",
       "2129        0.000000  0.012837  0.000000  0.000000  0.000000  0.004753   \n",
       "2130        0.001595  0.017960  0.012683  0.006107  0.005148  0.012789   \n",
       "2131        0.000000  0.023790  0.019782  0.010104  0.008304  0.023226   \n",
       "2132        0.000000  0.011365  0.003240  0.000000  0.000000  0.010094   \n",
       "2133        0.000000  0.010541  0.006686  0.000000  0.000000  0.000000   \n",
       "2134        0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "2135        0.000000  0.000000  0.003446  0.000000  0.000000  0.006223   \n",
       "2136        0.000000  0.000000  0.000000  0.000000  0.000000  0.006909   \n",
       "2137        0.000000  0.000000  0.000000  0.000000  0.001360  0.003332   \n",
       "2138        0.000000  0.005771  0.000000  0.000000  0.003594  0.003283   \n",
       "2139        0.000000  0.020963  0.000000  0.000000  0.005293  0.001666   \n",
       "2140        0.000000  0.038747  0.000000  0.000000  0.005050  0.000000   \n",
       "2141        0.000000  0.038276  0.002206  0.000500  0.000000  0.003822   \n",
       "2142        0.000000  0.034507  0.006824  0.003498  0.000000  0.006370   \n",
       "2143        0.002563  0.027146  0.000000  0.000000  0.000000  0.000000   \n",
       "2144        0.023523  0.016311  0.000000  0.003054  0.000000  0.000000   \n",
       "2145        0.029447  0.000000  0.000000  0.001055  0.000000  0.000000   \n",
       "2146        0.009056  0.006595  0.005652  0.000000  0.000728  0.006811   \n",
       "2147        0.000000  0.009481  0.008823  0.000000  0.005002  0.014259   \n",
       "2148        0.007632  0.000000  0.012062  0.005385  0.007236  0.017101   \n",
       "2149        0.018454  0.000000  0.025986  0.008272  0.008304  0.024990   \n",
       "2150        0.019536  0.009716  0.028122  0.000000  0.008304  0.018914   \n",
       "\n",
       "              Pro 12    Pro 24    Pro 25    Pro 26  ...  Normal 24  Normal 25  \\\n",
       "wavenumber                                          ...                         \n",
       "450         0.232703  0.143805  0.142210  0.273459  ...   0.338527   0.324303   \n",
       "451         0.235981  0.141639  0.143342  0.244398  ...   0.357951   0.314882   \n",
       "452         0.240122  0.139270  0.145355  0.214169  ...   0.382782   0.307493   \n",
       "453         0.243803  0.133383  0.151959  0.188375  ...   0.407542   0.297272   \n",
       "454         0.246103  0.117412  0.171835  0.176296  ...   0.431732   0.278801   \n",
       "455         0.247369  0.095351  0.199384  0.171802  ...   0.455567   0.255649   \n",
       "456         0.248519  0.072545  0.227499  0.168709  ...   0.478549   0.231513   \n",
       "457         0.246333  0.052852  0.239449  0.165966  ...   0.484240   0.206391   \n",
       "458         0.234428  0.042837  0.203661  0.163807  ...   0.438705   0.178129   \n",
       "459         0.216714  0.038506  0.139506  0.161881  ...   0.362860   0.147897   \n",
       "460         0.197964  0.035257  0.070570  0.160014  ...   0.282248   0.117665   \n",
       "461         0.178467  0.032618  0.014969  0.156804  ...   0.222697   0.092297   \n",
       "462         0.157301  0.027949  0.000000  0.149568  ...   0.226539   0.081461   \n",
       "463         0.134986  0.024227  0.010001  0.139998  ...   0.269441   0.079552   \n",
       "464         0.112670  0.020776  0.024719  0.129844  ...   0.319104   0.079059   \n",
       "465         0.095301  0.026528  0.036606  0.118114  ...   0.351263   0.073887   \n",
       "466         0.096279  0.035054  0.044028  0.104692  ...   0.329634   0.064713   \n",
       "467         0.109104  0.041483  0.051638  0.088410  ...   0.274422   0.042362   \n",
       "468         0.123426  0.047371  0.058117  0.071720  ...   0.213163   0.017610   \n",
       "469         0.136309  0.051837  0.068998  0.058532  ...   0.166845   0.000000   \n",
       "470         0.144533  0.051770  0.070633  0.050362  ...   0.163927   0.022597   \n",
       "471         0.149767  0.048860  0.066482  0.041900  ...   0.160583   0.081461   \n",
       "472         0.154138  0.050552  0.074596  0.049311  ...   0.156955   0.144265   \n",
       "473         0.153103  0.050078  0.080886  0.053630  ...   0.148488   0.215442   \n",
       "474         0.135791  0.042972  0.081515  0.048086  ...   0.132266   0.208238   \n",
       "475         0.116064  0.031603  0.078496  0.036239  ...   0.098470   0.150853   \n",
       "476         0.094841  0.019625  0.074785  0.023518  ...   0.061259   0.083800   \n",
       "477         0.079945  0.010286  0.072143  0.018616  ...   0.028815   0.031710   \n",
       "478         0.076034  0.009000  0.072709  0.019374  ...   0.011455   0.019703   \n",
       "479         0.070397  0.012113  0.075288  0.048786  ...   0.000498   0.015701   \n",
       "...              ...       ...       ...       ...  ...        ...        ...   \n",
       "2121        0.015874  0.092238  0.019624  0.005777  ...   0.009321   0.000000   \n",
       "2122        0.000000  0.081546  0.019624  0.007820  ...   0.014016   0.000000   \n",
       "2123        0.000000  0.069500  0.019624  0.003326  ...   0.024618   0.000000   \n",
       "2124        0.000000  0.054883  0.019624  0.005952  ...   0.045180   0.011637   \n",
       "2125        0.014954  0.043987  0.019624  0.000000  ...   0.034294   0.000000   \n",
       "2126        0.032783  0.049672  0.025285  0.000000  ...   0.013305   0.000000   \n",
       "2127        0.022603  0.047303  0.019624  0.000000  ...   0.011099   0.000000   \n",
       "2128        0.008167  0.036273  0.019624  0.000000  ...   0.000000   0.000000   \n",
       "2129        0.000000  0.019016  0.019624  0.000117  ...   0.000000   0.000000   \n",
       "2130        0.016392  0.000000  0.033964  0.000000  ...   0.000000   0.007943   \n",
       "2131        0.025824  0.000000  0.046166  0.000000  ...   0.000000   0.013854   \n",
       "2132        0.006039  0.004263  0.053022  0.000000  ...   0.000000   0.000000   \n",
       "2133        0.010468  0.011978  0.050506  0.000000  ...   0.000000   0.000000   \n",
       "2134        0.000000  0.013535  0.041575  0.000000  ...   0.000000   0.000000   \n",
       "2135        0.000000  0.012113  0.019624  0.000000  ...   0.000000   0.000000   \n",
       "2136        0.000000  0.015226  0.019624  0.000000  ...   0.000000   0.000000   \n",
       "2137        0.000000  0.012046  0.019624  0.000000  ...   0.003344   0.000000   \n",
       "2138        0.000000  0.006497  0.019624  0.000000  ...   0.005550   0.000000   \n",
       "2139        0.001955  0.000000  0.019624  0.001867  ...   0.000000   0.000000   \n",
       "2140        0.002646  0.000000  0.019624  0.000000  ...   0.000000   0.000000   \n",
       "2141        0.004486  0.000000  0.019624  0.004727  ...   0.000000   0.000000   \n",
       "2142        0.004486  0.000000  0.026920  0.014414  ...   0.000000   0.000000   \n",
       "2143        0.000000  0.003993  0.019624  0.012080  ...   0.000000   0.000000   \n",
       "2144        0.007822  0.014617  0.019624  0.000000  ...   0.000000   0.004618   \n",
       "2145        0.009432  0.017663  0.019624  0.000000  ...   0.000783   0.006896   \n",
       "2146        0.000000  0.014685  0.019624  0.000000  ...   0.008396   0.028262   \n",
       "2147        0.000000  0.021182  0.021574  0.001342  ...   0.011953   0.054923   \n",
       "2148        0.005464  0.019219  0.022643  0.000700  ...   0.006403   0.047472   \n",
       "2149        0.012078  0.013264  0.019624  0.005486  ...   0.017147   0.037744   \n",
       "2150        0.018577  0.009203  0.019624  0.008345  ...   0.018214   0.014962   \n",
       "\n",
       "            Normal 26  Normal 27  Normal 28.1  Normal 29  Normal 30.1  \\\n",
       "wavenumber                                                              \n",
       "450          0.334608   0.109257     0.946606   0.168156     1.000000   \n",
       "451          0.322294   0.098867     0.963298   0.166941     0.989354   \n",
       "452          0.309851   0.088989     0.981188   0.165060     0.977422   \n",
       "453          0.300713   0.077152     0.995758   0.163179     0.964919   \n",
       "454          0.301426   0.059610     1.000000   0.161494     0.950414   \n",
       "455          0.307712   0.038576     0.998709   0.159887     0.934910   \n",
       "456          0.314776   0.017287     0.995574   0.158398     0.919048   \n",
       "457          0.316397   0.001022     0.979897   0.157614     0.898614   \n",
       "458          0.301685   0.000000     0.926872   0.158986     0.865104   \n",
       "459          0.277317   0.008090     0.851623   0.161690     0.823807   \n",
       "460          0.251264   0.017798     0.773146   0.164433     0.781080   \n",
       "461          0.229747   0.026910     0.715788   0.163492     0.741855   \n",
       "462          0.222100   0.034063     0.721321   0.151579     0.712704   \n",
       "463          0.222942   0.040109     0.765677   0.132965     0.689911   \n",
       "464          0.225211   0.045815     0.816949   0.113175     0.668477   \n",
       "465          0.223526   0.049732     0.855127   0.096638     0.652186   \n",
       "466          0.209592   0.049732     0.847750   0.089976     0.655259   \n",
       "467          0.187946   0.062080     0.805330   0.089545     0.655759   \n",
       "468          0.164874   0.075875     0.756455   0.090446     0.655544   \n",
       "469          0.145949   0.085413     0.740686   0.093032     0.666405   \n",
       "470          0.139533   0.082602     0.749539   0.100204     0.660975   \n",
       "471          0.145107   0.071021     0.774069   0.110353     0.645041   \n",
       "472          0.151458   0.057737     0.801180   0.120777     0.626608   \n",
       "473          0.152495   0.072809     0.814367   0.125323     0.601672   \n",
       "474          0.136747   0.082432     0.784858   0.111803     0.557302   \n",
       "475          0.122878   0.083454     0.727960   0.086645     0.500357   \n",
       "476          0.107712   0.101678     0.666728   0.059409     0.441983   \n",
       "477          0.093260   0.114621     0.626614   0.038091     0.407188   \n",
       "478          0.081529   0.132504     0.651973   0.032448     0.420406   \n",
       "479          0.075308   0.147237     0.719015   0.030802     0.452772   \n",
       "...               ...        ...          ...        ...          ...   \n",
       "2121         0.002852   0.096228     0.022409   0.035191     0.002644   \n",
       "2122         0.000000   0.088563     0.000000   0.040011     0.004787   \n",
       "2123         0.016008   0.099123     0.000000   0.032369     0.000000   \n",
       "2124         0.034608   0.114792     0.000000   0.035975     0.000000   \n",
       "2125         0.055087   0.078004     0.000000   0.031390     0.000000   \n",
       "2126         0.072586   0.049732     0.000000   0.024336     0.000000   \n",
       "2127         0.046403   0.049732     0.000000   0.011560     0.000000   \n",
       "2128         0.000000   0.052883     0.002398   0.000000     0.011503   \n",
       "2129         0.000000   0.054586     0.000000   0.000000     0.024650   \n",
       "2130         0.000000   0.078174     0.007377   0.010385     0.043441   \n",
       "2131         0.000000   0.097760     0.000000   0.018183     0.042226   \n",
       "2132         0.013091   0.079622     0.000000   0.000000     0.000000   \n",
       "2133         0.022813   0.049732     0.000000   0.000000     0.000000   \n",
       "2134         0.023850   0.049732     0.014847   0.000000     0.000000   \n",
       "2135         0.019507   0.049732     0.043342   0.003370     0.000000   \n",
       "2136         0.024822   0.049732     0.059572   0.000000     0.011861   \n",
       "2137         0.056060   0.057396     0.067226   0.000000     0.028222   \n",
       "2138         0.078872   0.065060     0.056713   0.001372     0.030151   \n",
       "2139         0.060726   0.064975     0.017060   0.007994     0.000000   \n",
       "2140         0.035450   0.060206     0.000000   0.018967     0.000000   \n",
       "2141         0.022035   0.049732     0.000000   0.025080     0.007645   \n",
       "2142         0.004861   0.049732     0.010605   0.026883     0.022364   \n",
       "2143         0.000000   0.049732     0.021855   0.022690     0.026007   \n",
       "2144         0.025081   0.049732     0.038731   0.013833     0.029580   \n",
       "2145         0.033377   0.049732     0.031538   0.011208     0.020077   \n",
       "2146         0.019961   0.071447     0.024899   0.013246     0.016147   \n",
       "2147         0.014064   0.089585     0.011988   0.010111     0.015719   \n",
       "2148         0.006935   0.074172     0.000000   0.000000     0.033867   \n",
       "2149         0.000000   0.049732     0.000000   0.000000     0.048300   \n",
       "2150         0.000000   0.049732     0.000000   0.006819     0.038797   \n",
       "\n",
       "            Normal 31.1  Normal 17  Normal 32  \n",
       "wavenumber                                     \n",
       "450            0.266585   0.372483   0.113065  \n",
       "451            0.211669   0.382587   0.139194  \n",
       "452            0.159723   0.396345   0.171917  \n",
       "453            0.125981   0.401863   0.194139  \n",
       "454            0.145860   0.383089   0.183516  \n",
       "455            0.196283   0.350340   0.154579  \n",
       "456            0.250971   0.314798   0.122466  \n",
       "457            0.283418   0.274095   0.094017  \n",
       "458            0.248229   0.218703   0.076923  \n",
       "459            0.173128   0.154353   0.067033  \n",
       "460            0.091020   0.089215   0.058486  \n",
       "461            0.023460   0.042207   0.057021  \n",
       "462            0.000000   0.049230   0.077045  \n",
       "463            0.003656   0.089359   0.109768  \n",
       "464            0.012568   0.135149   0.144200  \n",
       "465            0.023231   0.161949   0.163370  \n",
       "466            0.023231   0.146471   0.152503  \n",
       "467            0.023231   0.094876   0.097924  \n",
       "468            0.023231   0.037048   0.035897  \n",
       "469            0.023231   0.000000   0.000000  \n",
       "470            0.023231   0.000000   0.068620  \n",
       "471            0.141671   0.014833   0.220513  \n",
       "472            0.260111   0.111000   0.380220  \n",
       "473            0.341991   0.181655   0.488523  \n",
       "474            0.313581   0.173701   0.439683  \n",
       "475            0.214411   0.115371   0.290232  \n",
       "476            0.102521   0.047653   0.122344  \n",
       "477            0.027420   0.000000   0.000000  \n",
       "478            0.023231   0.000000   0.000000  \n",
       "479            0.023231   0.000000   0.000000  \n",
       "...                 ...        ...        ...  \n",
       "2121           0.023231   0.001720   0.083516  \n",
       "2122           0.023231   0.005303   0.090842  \n",
       "2123           0.023231   0.000000   0.036508  \n",
       "2124           0.023231   0.002508   0.031258  \n",
       "2125           0.023231   0.000000   0.018193  \n",
       "2126           0.023231   0.000000   0.000000  \n",
       "2127           0.023231   0.000000   0.010012  \n",
       "2128           0.023231   0.000000   0.036630  \n",
       "2129           0.023231   0.000000   0.052137  \n",
       "2130           0.023231   0.000000   0.043834  \n",
       "2131           0.023231   0.000000   0.028571  \n",
       "2132           0.023231   0.000000   0.022955  \n",
       "2133           0.023231   0.000000   0.020513  \n",
       "2134           0.023231   0.000000   0.000000  \n",
       "2135           0.023231   0.000000   0.000000  \n",
       "2136           0.023231   0.000000   0.000000  \n",
       "2137           0.023231   0.030957   0.045543  \n",
       "2138           0.023231   0.052168   0.078510  \n",
       "2139           0.023231   0.034683   0.053602  \n",
       "2140           0.023231   0.000000   0.057265  \n",
       "2141           0.028106   0.000000   0.031746  \n",
       "2142           0.041435   0.009746   0.000000  \n",
       "2143           0.023231   0.014188   0.020879  \n",
       "2144           0.047452   0.015335   0.077412  \n",
       "2145           0.053546   0.007166   0.083761  \n",
       "2146           0.023231   0.000000   0.000000  \n",
       "2147           0.023231   0.000000   0.000000  \n",
       "2148           0.037474   0.000000   0.000000  \n",
       "2149           0.046005   0.000000   0.000000  \n",
       "2150           0.023231   0.006808   0.010256  \n",
       "\n",
       "[1701 rows x 79 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_scaled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "_ = plt.plot(wv_c, df_scaled, color='lightgray')\n",
    "_ = plt.plot(wv_c, df_scaled.mean(axis=1), color='black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert the dataframe into Tidy format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df_scaled.T\n",
    "df.columns = wv_c.astype(str) + ' cm-1'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>wavenumber</th>\n",
       "      <th>Class</th>\n",
       "      <th>450 cm-1</th>\n",
       "      <th>451 cm-1</th>\n",
       "      <th>452 cm-1</th>\n",
       "      <th>453 cm-1</th>\n",
       "      <th>454 cm-1</th>\n",
       "      <th>455 cm-1</th>\n",
       "      <th>456 cm-1</th>\n",
       "      <th>457 cm-1</th>\n",
       "      <th>458 cm-1</th>\n",
       "      <th>...</th>\n",
       "      <th>2141 cm-1</th>\n",
       "      <th>2142 cm-1</th>\n",
       "      <th>2143 cm-1</th>\n",
       "      <th>2144 cm-1</th>\n",
       "      <th>2145 cm-1</th>\n",
       "      <th>2146 cm-1</th>\n",
       "      <th>2147 cm-1</th>\n",
       "      <th>2148 cm-1</th>\n",
       "      <th>2149 cm-1</th>\n",
       "      <th>2150 cm-1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pro 2</th>\n",
       "      <td>P</td>\n",
       "      <td>0.127357</td>\n",
       "      <td>0.135103</td>\n",
       "      <td>0.142450</td>\n",
       "      <td>0.149741</td>\n",
       "      <td>0.156633</td>\n",
       "      <td>0.163411</td>\n",
       "      <td>0.169619</td>\n",
       "      <td>0.167227</td>\n",
       "      <td>0.139261</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002563</td>\n",
       "      <td>0.023523</td>\n",
       "      <td>0.029447</td>\n",
       "      <td>0.009056</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007632</td>\n",
       "      <td>0.018454</td>\n",
       "      <td>0.019536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 3</th>\n",
       "      <td>P</td>\n",
       "      <td>0.123484</td>\n",
       "      <td>0.110175</td>\n",
       "      <td>0.096220</td>\n",
       "      <td>0.083677</td>\n",
       "      <td>0.075609</td>\n",
       "      <td>0.070133</td>\n",
       "      <td>0.065128</td>\n",
       "      <td>0.060888</td>\n",
       "      <td>0.058945</td>\n",
       "      <td>...</td>\n",
       "      <td>0.038276</td>\n",
       "      <td>0.034507</td>\n",
       "      <td>0.027146</td>\n",
       "      <td>0.016311</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006595</td>\n",
       "      <td>0.009481</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 4</th>\n",
       "      <td>P</td>\n",
       "      <td>0.164392</td>\n",
       "      <td>0.181693</td>\n",
       "      <td>0.200372</td>\n",
       "      <td>0.211607</td>\n",
       "      <td>0.200648</td>\n",
       "      <td>0.177006</td>\n",
       "      <td>0.151089</td>\n",
       "      <td>0.126068</td>\n",
       "      <td>0.104494</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002206</td>\n",
       "      <td>0.006824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005652</td>\n",
       "      <td>0.008823</td>\n",
       "      <td>0.012062</td>\n",
       "      <td>0.025986</td>\n",
       "      <td>0.028122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 5</th>\n",
       "      <td>P</td>\n",
       "      <td>0.242727</td>\n",
       "      <td>0.237231</td>\n",
       "      <td>0.231457</td>\n",
       "      <td>0.228348</td>\n",
       "      <td>0.232789</td>\n",
       "      <td>0.241561</td>\n",
       "      <td>0.250833</td>\n",
       "      <td>0.254330</td>\n",
       "      <td>0.240395</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.003498</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003054</td>\n",
       "      <td>0.001055</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005385</td>\n",
       "      <td>0.008272</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 6</th>\n",
       "      <td>P</td>\n",
       "      <td>0.160014</td>\n",
       "      <td>0.153166</td>\n",
       "      <td>0.146270</td>\n",
       "      <td>0.143114</td>\n",
       "      <td>0.151418</td>\n",
       "      <td>0.166084</td>\n",
       "      <td>0.181721</td>\n",
       "      <td>0.192988</td>\n",
       "      <td>0.190899</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000728</td>\n",
       "      <td>0.005002</td>\n",
       "      <td>0.007236</td>\n",
       "      <td>0.008304</td>\n",
       "      <td>0.008304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 11</th>\n",
       "      <td>P</td>\n",
       "      <td>0.086731</td>\n",
       "      <td>0.084183</td>\n",
       "      <td>0.081684</td>\n",
       "      <td>0.080606</td>\n",
       "      <td>0.083889</td>\n",
       "      <td>0.089720</td>\n",
       "      <td>0.095796</td>\n",
       "      <td>0.097903</td>\n",
       "      <td>0.088250</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003822</td>\n",
       "      <td>0.006370</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006811</td>\n",
       "      <td>0.014259</td>\n",
       "      <td>0.017101</td>\n",
       "      <td>0.024990</td>\n",
       "      <td>0.018914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 12</th>\n",
       "      <td>P</td>\n",
       "      <td>0.232703</td>\n",
       "      <td>0.235981</td>\n",
       "      <td>0.240122</td>\n",
       "      <td>0.243803</td>\n",
       "      <td>0.246103</td>\n",
       "      <td>0.247369</td>\n",
       "      <td>0.248519</td>\n",
       "      <td>0.246333</td>\n",
       "      <td>0.234428</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004486</td>\n",
       "      <td>0.004486</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007822</td>\n",
       "      <td>0.009432</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005464</td>\n",
       "      <td>0.012078</td>\n",
       "      <td>0.018577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 24</th>\n",
       "      <td>P</td>\n",
       "      <td>0.143805</td>\n",
       "      <td>0.141639</td>\n",
       "      <td>0.139270</td>\n",
       "      <td>0.133383</td>\n",
       "      <td>0.117412</td>\n",
       "      <td>0.095351</td>\n",
       "      <td>0.072545</td>\n",
       "      <td>0.052852</td>\n",
       "      <td>0.042837</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003993</td>\n",
       "      <td>0.014617</td>\n",
       "      <td>0.017663</td>\n",
       "      <td>0.014685</td>\n",
       "      <td>0.021182</td>\n",
       "      <td>0.019219</td>\n",
       "      <td>0.013264</td>\n",
       "      <td>0.009203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 25</th>\n",
       "      <td>P</td>\n",
       "      <td>0.142210</td>\n",
       "      <td>0.143342</td>\n",
       "      <td>0.145355</td>\n",
       "      <td>0.151959</td>\n",
       "      <td>0.171835</td>\n",
       "      <td>0.199384</td>\n",
       "      <td>0.227499</td>\n",
       "      <td>0.239449</td>\n",
       "      <td>0.203661</td>\n",
       "      <td>...</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.026920</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.021574</td>\n",
       "      <td>0.022643</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.019624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 26</th>\n",
       "      <td>P</td>\n",
       "      <td>0.273459</td>\n",
       "      <td>0.244398</td>\n",
       "      <td>0.214169</td>\n",
       "      <td>0.188375</td>\n",
       "      <td>0.176296</td>\n",
       "      <td>0.171802</td>\n",
       "      <td>0.168709</td>\n",
       "      <td>0.165966</td>\n",
       "      <td>0.163807</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004727</td>\n",
       "      <td>0.014414</td>\n",
       "      <td>0.012080</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001342</td>\n",
       "      <td>0.000700</td>\n",
       "      <td>0.005486</td>\n",
       "      <td>0.008345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 27</th>\n",
       "      <td>P</td>\n",
       "      <td>0.205269</td>\n",
       "      <td>0.200024</td>\n",
       "      <td>0.196090</td>\n",
       "      <td>0.191024</td>\n",
       "      <td>0.182084</td>\n",
       "      <td>0.170819</td>\n",
       "      <td>0.159197</td>\n",
       "      <td>0.146084</td>\n",
       "      <td>0.128561</td>\n",
       "      <td>...</td>\n",
       "      <td>0.005424</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003338</td>\n",
       "      <td>0.013172</td>\n",
       "      <td>0.016987</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 28</th>\n",
       "      <td>P</td>\n",
       "      <td>0.051355</td>\n",
       "      <td>0.062996</td>\n",
       "      <td>0.075667</td>\n",
       "      <td>0.084681</td>\n",
       "      <td>0.082260</td>\n",
       "      <td>0.073504</td>\n",
       "      <td>0.063408</td>\n",
       "      <td>0.052539</td>\n",
       "      <td>0.039353</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029103</td>\n",
       "      <td>0.035129</td>\n",
       "      <td>0.030493</td>\n",
       "      <td>0.026682</td>\n",
       "      <td>0.026682</td>\n",
       "      <td>0.026682</td>\n",
       "      <td>0.028124</td>\n",
       "      <td>0.029360</td>\n",
       "      <td>0.033996</td>\n",
       "      <td>0.042495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 32</th>\n",
       "      <td>P</td>\n",
       "      <td>0.331366</td>\n",
       "      <td>0.318308</td>\n",
       "      <td>0.307486</td>\n",
       "      <td>0.296753</td>\n",
       "      <td>0.286468</td>\n",
       "      <td>0.276362</td>\n",
       "      <td>0.266255</td>\n",
       "      <td>0.256864</td>\n",
       "      <td>0.249173</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011895</td>\n",
       "      <td>0.026921</td>\n",
       "      <td>0.022180</td>\n",
       "      <td>0.015741</td>\n",
       "      <td>0.023611</td>\n",
       "      <td>0.014668</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002951</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 33</th>\n",
       "      <td>P</td>\n",
       "      <td>0.155496</td>\n",
       "      <td>0.198078</td>\n",
       "      <td>0.244889</td>\n",
       "      <td>0.279708</td>\n",
       "      <td>0.278862</td>\n",
       "      <td>0.257648</td>\n",
       "      <td>0.232898</td>\n",
       "      <td>0.209070</td>\n",
       "      <td>0.188855</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013297</td>\n",
       "      <td>0.033666</td>\n",
       "      <td>0.028670</td>\n",
       "      <td>0.002613</td>\n",
       "      <td>0.003920</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000231</td>\n",
       "      <td>0.003689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 34</th>\n",
       "      <td>P</td>\n",
       "      <td>0.174028</td>\n",
       "      <td>0.171174</td>\n",
       "      <td>0.168169</td>\n",
       "      <td>0.164363</td>\n",
       "      <td>0.158203</td>\n",
       "      <td>0.150691</td>\n",
       "      <td>0.142979</td>\n",
       "      <td>0.137620</td>\n",
       "      <td>0.139323</td>\n",
       "      <td>...</td>\n",
       "      <td>0.017027</td>\n",
       "      <td>0.016877</td>\n",
       "      <td>0.012570</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004207</td>\n",
       "      <td>0.006711</td>\n",
       "      <td>0.006510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 35</th>\n",
       "      <td>P</td>\n",
       "      <td>0.384564</td>\n",
       "      <td>0.350081</td>\n",
       "      <td>0.313971</td>\n",
       "      <td>0.287406</td>\n",
       "      <td>0.289478</td>\n",
       "      <td>0.307977</td>\n",
       "      <td>0.328844</td>\n",
       "      <td>0.336984</td>\n",
       "      <td>0.307163</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000518</td>\n",
       "      <td>0.006364</td>\n",
       "      <td>0.015169</td>\n",
       "      <td>0.017241</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 36</th>\n",
       "      <td>P</td>\n",
       "      <td>0.225720</td>\n",
       "      <td>0.214225</td>\n",
       "      <td>0.202795</td>\n",
       "      <td>0.195742</td>\n",
       "      <td>0.201424</td>\n",
       "      <td>0.214421</td>\n",
       "      <td>0.228463</td>\n",
       "      <td>0.236889</td>\n",
       "      <td>0.228071</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010319</td>\n",
       "      <td>0.005029</td>\n",
       "      <td>0.006662</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003788</td>\n",
       "      <td>0.012867</td>\n",
       "      <td>0.023513</td>\n",
       "      <td>0.025537</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 39</th>\n",
       "      <td>P</td>\n",
       "      <td>0.187881</td>\n",
       "      <td>0.215389</td>\n",
       "      <td>0.244648</td>\n",
       "      <td>0.263851</td>\n",
       "      <td>0.253017</td>\n",
       "      <td>0.224861</td>\n",
       "      <td>0.194044</td>\n",
       "      <td>0.167640</td>\n",
       "      <td>0.155119</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013689</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004022</td>\n",
       "      <td>0.024329</td>\n",
       "      <td>0.037758</td>\n",
       "      <td>0.031984</td>\n",
       "      <td>0.048981</td>\n",
       "      <td>0.058972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 40</th>\n",
       "      <td>P</td>\n",
       "      <td>0.064039</td>\n",
       "      <td>0.052289</td>\n",
       "      <td>0.040645</td>\n",
       "      <td>0.036159</td>\n",
       "      <td>0.052663</td>\n",
       "      <td>0.081237</td>\n",
       "      <td>0.111414</td>\n",
       "      <td>0.131977</td>\n",
       "      <td>0.123805</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011910</td>\n",
       "      <td>0.030337</td>\n",
       "      <td>0.029376</td>\n",
       "      <td>0.013673</td>\n",
       "      <td>0.013940</td>\n",
       "      <td>0.040165</td>\n",
       "      <td>0.058644</td>\n",
       "      <td>0.030017</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 19</th>\n",
       "      <td>P</td>\n",
       "      <td>0.406677</td>\n",
       "      <td>0.386699</td>\n",
       "      <td>0.365654</td>\n",
       "      <td>0.348251</td>\n",
       "      <td>0.341325</td>\n",
       "      <td>0.340526</td>\n",
       "      <td>0.340082</td>\n",
       "      <td>0.324809</td>\n",
       "      <td>0.265406</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011898</td>\n",
       "      <td>0.020156</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002664</td>\n",
       "      <td>0.038714</td>\n",
       "      <td>0.060646</td>\n",
       "      <td>0.017936</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 20</th>\n",
       "      <td>P</td>\n",
       "      <td>0.079687</td>\n",
       "      <td>0.084069</td>\n",
       "      <td>0.088484</td>\n",
       "      <td>0.092221</td>\n",
       "      <td>0.093704</td>\n",
       "      <td>0.093865</td>\n",
       "      <td>0.093800</td>\n",
       "      <td>0.092544</td>\n",
       "      <td>0.087871</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021525</td>\n",
       "      <td>0.012309</td>\n",
       "      <td>0.008378</td>\n",
       "      <td>0.007508</td>\n",
       "      <td>0.014565</td>\n",
       "      <td>0.017207</td>\n",
       "      <td>0.016144</td>\n",
       "      <td>0.009183</td>\n",
       "      <td>0.001418</td>\n",
       "      <td>0.005575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 21</th>\n",
       "      <td>P</td>\n",
       "      <td>0.045904</td>\n",
       "      <td>0.045254</td>\n",
       "      <td>0.044605</td>\n",
       "      <td>0.044746</td>\n",
       "      <td>0.047343</td>\n",
       "      <td>0.051324</td>\n",
       "      <td>0.055418</td>\n",
       "      <td>0.056321</td>\n",
       "      <td>0.047626</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009119</td>\n",
       "      <td>0.018265</td>\n",
       "      <td>0.022811</td>\n",
       "      <td>0.028372</td>\n",
       "      <td>0.027751</td>\n",
       "      <td>0.017503</td>\n",
       "      <td>0.004573</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 22</th>\n",
       "      <td>P</td>\n",
       "      <td>0.031146</td>\n",
       "      <td>0.020862</td>\n",
       "      <td>0.009924</td>\n",
       "      <td>0.003294</td>\n",
       "      <td>0.008763</td>\n",
       "      <td>0.021475</td>\n",
       "      <td>0.035284</td>\n",
       "      <td>0.044554</td>\n",
       "      <td>0.040204</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005743</td>\n",
       "      <td>0.011677</td>\n",
       "      <td>0.011381</td>\n",
       "      <td>0.011044</td>\n",
       "      <td>0.008531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 23</th>\n",
       "      <td>P</td>\n",
       "      <td>0.141150</td>\n",
       "      <td>0.142146</td>\n",
       "      <td>0.143547</td>\n",
       "      <td>0.144838</td>\n",
       "      <td>0.145650</td>\n",
       "      <td>0.146092</td>\n",
       "      <td>0.146424</td>\n",
       "      <td>0.144433</td>\n",
       "      <td>0.135507</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001402</td>\n",
       "      <td>0.003836</td>\n",
       "      <td>0.003946</td>\n",
       "      <td>0.012503</td>\n",
       "      <td>0.027514</td>\n",
       "      <td>0.030354</td>\n",
       "      <td>0.026998</td>\n",
       "      <td>0.018404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 29</th>\n",
       "      <td>P</td>\n",
       "      <td>0.059461</td>\n",
       "      <td>0.064927</td>\n",
       "      <td>0.070489</td>\n",
       "      <td>0.072682</td>\n",
       "      <td>0.064959</td>\n",
       "      <td>0.051548</td>\n",
       "      <td>0.037342</td>\n",
       "      <td>0.025774</td>\n",
       "      <td>0.022342</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006547</td>\n",
       "      <td>0.014587</td>\n",
       "      <td>0.022024</td>\n",
       "      <td>0.026219</td>\n",
       "      <td>0.024089</td>\n",
       "      <td>0.017892</td>\n",
       "      <td>0.008263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 30</th>\n",
       "      <td>P</td>\n",
       "      <td>0.290709</td>\n",
       "      <td>0.265374</td>\n",
       "      <td>0.239130</td>\n",
       "      <td>0.217019</td>\n",
       "      <td>0.207762</td>\n",
       "      <td>0.205695</td>\n",
       "      <td>0.204910</td>\n",
       "      <td>0.202389</td>\n",
       "      <td>0.194826</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003968</td>\n",
       "      <td>0.011366</td>\n",
       "      <td>0.009588</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 31</th>\n",
       "      <td>P</td>\n",
       "      <td>0.165571</td>\n",
       "      <td>0.128733</td>\n",
       "      <td>0.090790</td>\n",
       "      <td>0.063538</td>\n",
       "      <td>0.067854</td>\n",
       "      <td>0.090188</td>\n",
       "      <td>0.115533</td>\n",
       "      <td>0.135609</td>\n",
       "      <td>0.139774</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002309</td>\n",
       "      <td>0.005521</td>\n",
       "      <td>0.012698</td>\n",
       "      <td>0.016311</td>\n",
       "      <td>0.006173</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 37</th>\n",
       "      <td>P</td>\n",
       "      <td>0.192468</td>\n",
       "      <td>0.184294</td>\n",
       "      <td>0.176965</td>\n",
       "      <td>0.172229</td>\n",
       "      <td>0.174935</td>\n",
       "      <td>0.181813</td>\n",
       "      <td>0.188973</td>\n",
       "      <td>0.186661</td>\n",
       "      <td>0.156275</td>\n",
       "      <td>...</td>\n",
       "      <td>0.005468</td>\n",
       "      <td>0.024467</td>\n",
       "      <td>0.029992</td>\n",
       "      <td>0.035630</td>\n",
       "      <td>0.027117</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004115</td>\n",
       "      <td>0.019957</td>\n",
       "      <td>0.022381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 38</th>\n",
       "      <td>P</td>\n",
       "      <td>0.082727</td>\n",
       "      <td>0.083119</td>\n",
       "      <td>0.082858</td>\n",
       "      <td>0.081879</td>\n",
       "      <td>0.078845</td>\n",
       "      <td>0.074637</td>\n",
       "      <td>0.070168</td>\n",
       "      <td>0.063448</td>\n",
       "      <td>0.050302</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010243</td>\n",
       "      <td>0.009558</td>\n",
       "      <td>0.009558</td>\n",
       "      <td>0.017289</td>\n",
       "      <td>0.023226</td>\n",
       "      <td>0.024662</td>\n",
       "      <td>0.021106</td>\n",
       "      <td>0.014843</td>\n",
       "      <td>0.017583</td>\n",
       "      <td>0.015919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pro 1</th>\n",
       "      <td>P</td>\n",
       "      <td>0.180037</td>\n",
       "      <td>0.178676</td>\n",
       "      <td>0.177358</td>\n",
       "      <td>0.177571</td>\n",
       "      <td>0.182120</td>\n",
       "      <td>0.189304</td>\n",
       "      <td>0.196531</td>\n",
       "      <td>0.196489</td>\n",
       "      <td>0.174765</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002933</td>\n",
       "      <td>0.013689</td>\n",
       "      <td>0.020618</td>\n",
       "      <td>0.011563</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003443</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",
       "      <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>Normal 3</th>\n",
       "      <td>N</td>\n",
       "      <td>0.457526</td>\n",
       "      <td>0.435753</td>\n",
       "      <td>0.412735</td>\n",
       "      <td>0.396642</td>\n",
       "      <td>0.400678</td>\n",
       "      <td>0.416222</td>\n",
       "      <td>0.433561</td>\n",
       "      <td>0.444522</td>\n",
       "      <td>0.436351</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004434</td>\n",
       "      <td>0.005779</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003239</td>\n",
       "      <td>0.009865</td>\n",
       "      <td>0.013402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 4</th>\n",
       "      <td>N</td>\n",
       "      <td>0.108456</td>\n",
       "      <td>0.100492</td>\n",
       "      <td>0.093349</td>\n",
       "      <td>0.087412</td>\n",
       "      <td>0.084854</td>\n",
       "      <td>0.084275</td>\n",
       "      <td>0.084130</td>\n",
       "      <td>0.084950</td>\n",
       "      <td>0.088908</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003765</td>\n",
       "      <td>0.007964</td>\n",
       "      <td>0.007192</td>\n",
       "      <td>0.007144</td>\n",
       "      <td>0.014239</td>\n",
       "      <td>0.030939</td>\n",
       "      <td>0.043971</td>\n",
       "      <td>0.039386</td>\n",
       "      <td>0.026306</td>\n",
       "      <td>0.006950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 5</th>\n",
       "      <td>N</td>\n",
       "      <td>0.093558</td>\n",
       "      <td>0.089944</td>\n",
       "      <td>0.087802</td>\n",
       "      <td>0.086464</td>\n",
       "      <td>0.087133</td>\n",
       "      <td>0.089007</td>\n",
       "      <td>0.091059</td>\n",
       "      <td>0.091818</td>\n",
       "      <td>0.088739</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002008</td>\n",
       "      <td>0.005755</td>\n",
       "      <td>0.007451</td>\n",
       "      <td>0.006157</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000758</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 6</th>\n",
       "      <td>N</td>\n",
       "      <td>0.614847</td>\n",
       "      <td>0.633889</td>\n",
       "      <td>0.653354</td>\n",
       "      <td>0.661358</td>\n",
       "      <td>0.635238</td>\n",
       "      <td>0.589737</td>\n",
       "      <td>0.540698</td>\n",
       "      <td>0.493259</td>\n",
       "      <td>0.450961</td>\n",
       "      <td>...</td>\n",
       "      <td>0.024688</td>\n",
       "      <td>0.004297</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004044</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 7</th>\n",
       "      <td>N</td>\n",
       "      <td>0.203566</td>\n",
       "      <td>0.208156</td>\n",
       "      <td>0.213944</td>\n",
       "      <td>0.216006</td>\n",
       "      <td>0.206559</td>\n",
       "      <td>0.190593</td>\n",
       "      <td>0.173497</td>\n",
       "      <td>0.158329</td>\n",
       "      <td>0.149015</td>\n",
       "      <td>...</td>\n",
       "      <td>0.037187</td>\n",
       "      <td>0.035325</td>\n",
       "      <td>0.015700</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004524</td>\n",
       "      <td>0.007251</td>\n",
       "      <td>0.007251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 8</th>\n",
       "      <td>N</td>\n",
       "      <td>0.213544</td>\n",
       "      <td>0.211803</td>\n",
       "      <td>0.210485</td>\n",
       "      <td>0.209483</td>\n",
       "      <td>0.209061</td>\n",
       "      <td>0.208955</td>\n",
       "      <td>0.208428</td>\n",
       "      <td>0.198249</td>\n",
       "      <td>0.159380</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026475</td>\n",
       "      <td>0.025948</td>\n",
       "      <td>0.022625</td>\n",
       "      <td>0.005907</td>\n",
       "      <td>0.005907</td>\n",
       "      <td>0.009546</td>\n",
       "      <td>0.012763</td>\n",
       "      <td>0.005907</td>\n",
       "      <td>0.014029</td>\n",
       "      <td>0.025895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 9</th>\n",
       "      <td>N</td>\n",
       "      <td>0.755460</td>\n",
       "      <td>0.766124</td>\n",
       "      <td>0.782517</td>\n",
       "      <td>0.805321</td>\n",
       "      <td>0.846616</td>\n",
       "      <td>0.898576</td>\n",
       "      <td>0.950876</td>\n",
       "      <td>0.973056</td>\n",
       "      <td>0.905837</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009586</td>\n",
       "      <td>0.021045</td>\n",
       "      <td>0.020137</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007034</td>\n",
       "      <td>0.012423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 10</th>\n",
       "      <td>N</td>\n",
       "      <td>0.311826</td>\n",
       "      <td>0.318300</td>\n",
       "      <td>0.326859</td>\n",
       "      <td>0.330654</td>\n",
       "      <td>0.320682</td>\n",
       "      <td>0.302523</td>\n",
       "      <td>0.283099</td>\n",
       "      <td>0.263824</td>\n",
       "      <td>0.245442</td>\n",
       "      <td>...</td>\n",
       "      <td>0.017340</td>\n",
       "      <td>0.050086</td>\n",
       "      <td>0.048299</td>\n",
       "      <td>0.018233</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.027313</td>\n",
       "      <td>0.065491</td>\n",
       "      <td>0.082831</td>\n",
       "      <td>0.078515</td>\n",
       "      <td>0.048895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 11</th>\n",
       "      <td>N</td>\n",
       "      <td>0.245885</td>\n",
       "      <td>0.238597</td>\n",
       "      <td>0.232741</td>\n",
       "      <td>0.230659</td>\n",
       "      <td>0.239703</td>\n",
       "      <td>0.255059</td>\n",
       "      <td>0.270805</td>\n",
       "      <td>0.271000</td>\n",
       "      <td>0.224673</td>\n",
       "      <td>...</td>\n",
       "      <td>0.048214</td>\n",
       "      <td>0.037153</td>\n",
       "      <td>0.037153</td>\n",
       "      <td>0.037153</td>\n",
       "      <td>0.037153</td>\n",
       "      <td>0.043854</td>\n",
       "      <td>0.048279</td>\n",
       "      <td>0.037153</td>\n",
       "      <td>0.037153</td>\n",
       "      <td>0.037153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 12</th>\n",
       "      <td>N</td>\n",
       "      <td>0.103139</td>\n",
       "      <td>0.132344</td>\n",
       "      <td>0.164769</td>\n",
       "      <td>0.191560</td>\n",
       "      <td>0.201219</td>\n",
       "      <td>0.201104</td>\n",
       "      <td>0.199092</td>\n",
       "      <td>0.194607</td>\n",
       "      <td>0.182879</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007474</td>\n",
       "      <td>0.017707</td>\n",
       "      <td>0.014315</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006669</td>\n",
       "      <td>0.017707</td>\n",
       "      <td>0.016902</td>\n",
       "      <td>0.015063</td>\n",
       "      <td>0.028286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 13</th>\n",
       "      <td>N</td>\n",
       "      <td>0.438904</td>\n",
       "      <td>0.427558</td>\n",
       "      <td>0.415615</td>\n",
       "      <td>0.396656</td>\n",
       "      <td>0.356722</td>\n",
       "      <td>0.304695</td>\n",
       "      <td>0.251026</td>\n",
       "      <td>0.205867</td>\n",
       "      <td>0.186236</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006942</td>\n",
       "      <td>0.002687</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010226</td>\n",
       "      <td>0.028290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 14</th>\n",
       "      <td>N</td>\n",
       "      <td>0.548763</td>\n",
       "      <td>0.572643</td>\n",
       "      <td>0.603401</td>\n",
       "      <td>0.632343</td>\n",
       "      <td>0.656128</td>\n",
       "      <td>0.676664</td>\n",
       "      <td>0.695864</td>\n",
       "      <td>0.696151</td>\n",
       "      <td>0.640558</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009456</td>\n",
       "      <td>0.020823</td>\n",
       "      <td>0.026841</td>\n",
       "      <td>0.019200</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 15</th>\n",
       "      <td>N</td>\n",
       "      <td>0.552299</td>\n",
       "      <td>0.503371</td>\n",
       "      <td>0.455394</td>\n",
       "      <td>0.417445</td>\n",
       "      <td>0.409146</td>\n",
       "      <td>0.417704</td>\n",
       "      <td>0.428596</td>\n",
       "      <td>0.424965</td>\n",
       "      <td>0.377939</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007261</td>\n",
       "      <td>0.007434</td>\n",
       "      <td>0.010979</td>\n",
       "      <td>0.014436</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 16</th>\n",
       "      <td>N</td>\n",
       "      <td>0.224602</td>\n",
       "      <td>0.202542</td>\n",
       "      <td>0.180481</td>\n",
       "      <td>0.162847</td>\n",
       "      <td>0.158064</td>\n",
       "      <td>0.160491</td>\n",
       "      <td>0.164204</td>\n",
       "      <td>0.163918</td>\n",
       "      <td>0.152138</td>\n",
       "      <td>...</td>\n",
       "      <td>0.017705</td>\n",
       "      <td>0.039552</td>\n",
       "      <td>0.032198</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004783</td>\n",
       "      <td>0.023417</td>\n",
       "      <td>0.040266</td>\n",
       "      <td>0.064396</td>\n",
       "      <td>0.080174</td>\n",
       "      <td>0.065396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 18</th>\n",
       "      <td>N</td>\n",
       "      <td>0.213682</td>\n",
       "      <td>0.202406</td>\n",
       "      <td>0.191881</td>\n",
       "      <td>0.185679</td>\n",
       "      <td>0.191631</td>\n",
       "      <td>0.204598</td>\n",
       "      <td>0.218443</td>\n",
       "      <td>0.224519</td>\n",
       "      <td>0.207542</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011840</td>\n",
       "      <td>0.020422</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001566</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 19</th>\n",
       "      <td>N</td>\n",
       "      <td>0.151111</td>\n",
       "      <td>0.155801</td>\n",
       "      <td>0.161472</td>\n",
       "      <td>0.163177</td>\n",
       "      <td>0.153371</td>\n",
       "      <td>0.136955</td>\n",
       "      <td>0.119601</td>\n",
       "      <td>0.108515</td>\n",
       "      <td>0.115891</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006012</td>\n",
       "      <td>0.005927</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000853</td>\n",
       "      <td>0.002473</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 20</th>\n",
       "      <td>N</td>\n",
       "      <td>0.181722</td>\n",
       "      <td>0.145919</td>\n",
       "      <td>0.108969</td>\n",
       "      <td>0.082576</td>\n",
       "      <td>0.087441</td>\n",
       "      <td>0.110117</td>\n",
       "      <td>0.135729</td>\n",
       "      <td>0.156201</td>\n",
       "      <td>0.161021</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011200</td>\n",
       "      <td>0.015928</td>\n",
       "      <td>0.005738</td>\n",
       "      <td>0.002157</td>\n",
       "      <td>0.006472</td>\n",
       "      <td>0.015423</td>\n",
       "      <td>0.014642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 21</th>\n",
       "      <td>N</td>\n",
       "      <td>0.200659</td>\n",
       "      <td>0.215214</td>\n",
       "      <td>0.231509</td>\n",
       "      <td>0.238100</td>\n",
       "      <td>0.214756</td>\n",
       "      <td>0.174387</td>\n",
       "      <td>0.131454</td>\n",
       "      <td>0.095661</td>\n",
       "      <td>0.081838</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011443</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005767</td>\n",
       "      <td>0.003753</td>\n",
       "      <td>0.018949</td>\n",
       "      <td>0.034420</td>\n",
       "      <td>0.054650</td>\n",
       "      <td>0.067649</td>\n",
       "      <td>0.066276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 22</th>\n",
       "      <td>N</td>\n",
       "      <td>0.341059</td>\n",
       "      <td>0.329256</td>\n",
       "      <td>0.316667</td>\n",
       "      <td>0.305722</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.297067</td>\n",
       "      <td>0.294492</td>\n",
       "      <td>0.287768</td>\n",
       "      <td>0.269099</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009299</td>\n",
       "      <td>0.009013</td>\n",
       "      <td>0.022318</td>\n",
       "      <td>0.034263</td>\n",
       "      <td>0.020315</td>\n",
       "      <td>0.017668</td>\n",
       "      <td>0.020672</td>\n",
       "      <td>0.027539</td>\n",
       "      <td>0.027539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 23</th>\n",
       "      <td>N</td>\n",
       "      <td>0.238512</td>\n",
       "      <td>0.227462</td>\n",
       "      <td>0.215536</td>\n",
       "      <td>0.200328</td>\n",
       "      <td>0.176368</td>\n",
       "      <td>0.147046</td>\n",
       "      <td>0.117177</td>\n",
       "      <td>0.094092</td>\n",
       "      <td>0.090263</td>\n",
       "      <td>...</td>\n",
       "      <td>0.033807</td>\n",
       "      <td>0.077133</td>\n",
       "      <td>0.103611</td>\n",
       "      <td>0.119365</td>\n",
       "      <td>0.127571</td>\n",
       "      <td>0.127243</td>\n",
       "      <td>0.120678</td>\n",
       "      <td>0.080416</td>\n",
       "      <td>0.032166</td>\n",
       "      <td>0.010722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 24</th>\n",
       "      <td>N</td>\n",
       "      <td>0.338527</td>\n",
       "      <td>0.357951</td>\n",
       "      <td>0.382782</td>\n",
       "      <td>0.407542</td>\n",
       "      <td>0.431732</td>\n",
       "      <td>0.455567</td>\n",
       "      <td>0.478549</td>\n",
       "      <td>0.484240</td>\n",
       "      <td>0.438705</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000783</td>\n",
       "      <td>0.008396</td>\n",
       "      <td>0.011953</td>\n",
       "      <td>0.006403</td>\n",
       "      <td>0.017147</td>\n",
       "      <td>0.018214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 25</th>\n",
       "      <td>N</td>\n",
       "      <td>0.324303</td>\n",
       "      <td>0.314882</td>\n",
       "      <td>0.307493</td>\n",
       "      <td>0.297272</td>\n",
       "      <td>0.278801</td>\n",
       "      <td>0.255649</td>\n",
       "      <td>0.231513</td>\n",
       "      <td>0.206391</td>\n",
       "      <td>0.178129</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004618</td>\n",
       "      <td>0.006896</td>\n",
       "      <td>0.028262</td>\n",
       "      <td>0.054923</td>\n",
       "      <td>0.047472</td>\n",
       "      <td>0.037744</td>\n",
       "      <td>0.014962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 26</th>\n",
       "      <td>N</td>\n",
       "      <td>0.334608</td>\n",
       "      <td>0.322294</td>\n",
       "      <td>0.309851</td>\n",
       "      <td>0.300713</td>\n",
       "      <td>0.301426</td>\n",
       "      <td>0.307712</td>\n",
       "      <td>0.314776</td>\n",
       "      <td>0.316397</td>\n",
       "      <td>0.301685</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022035</td>\n",
       "      <td>0.004861</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.025081</td>\n",
       "      <td>0.033377</td>\n",
       "      <td>0.019961</td>\n",
       "      <td>0.014064</td>\n",
       "      <td>0.006935</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 27</th>\n",
       "      <td>N</td>\n",
       "      <td>0.109257</td>\n",
       "      <td>0.098867</td>\n",
       "      <td>0.088989</td>\n",
       "      <td>0.077152</td>\n",
       "      <td>0.059610</td>\n",
       "      <td>0.038576</td>\n",
       "      <td>0.017287</td>\n",
       "      <td>0.001022</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.071447</td>\n",
       "      <td>0.089585</td>\n",
       "      <td>0.074172</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.049732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 28.1</th>\n",
       "      <td>N</td>\n",
       "      <td>0.946606</td>\n",
       "      <td>0.963298</td>\n",
       "      <td>0.981188</td>\n",
       "      <td>0.995758</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.998709</td>\n",
       "      <td>0.995574</td>\n",
       "      <td>0.979897</td>\n",
       "      <td>0.926872</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010605</td>\n",
       "      <td>0.021855</td>\n",
       "      <td>0.038731</td>\n",
       "      <td>0.031538</td>\n",
       "      <td>0.024899</td>\n",
       "      <td>0.011988</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 29</th>\n",
       "      <td>N</td>\n",
       "      <td>0.168156</td>\n",
       "      <td>0.166941</td>\n",
       "      <td>0.165060</td>\n",
       "      <td>0.163179</td>\n",
       "      <td>0.161494</td>\n",
       "      <td>0.159887</td>\n",
       "      <td>0.158398</td>\n",
       "      <td>0.157614</td>\n",
       "      <td>0.158986</td>\n",
       "      <td>...</td>\n",
       "      <td>0.025080</td>\n",
       "      <td>0.026883</td>\n",
       "      <td>0.022690</td>\n",
       "      <td>0.013833</td>\n",
       "      <td>0.011208</td>\n",
       "      <td>0.013246</td>\n",
       "      <td>0.010111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 30.1</th>\n",
       "      <td>N</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.989354</td>\n",
       "      <td>0.977422</td>\n",
       "      <td>0.964919</td>\n",
       "      <td>0.950414</td>\n",
       "      <td>0.934910</td>\n",
       "      <td>0.919048</td>\n",
       "      <td>0.898614</td>\n",
       "      <td>0.865104</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007645</td>\n",
       "      <td>0.022364</td>\n",
       "      <td>0.026007</td>\n",
       "      <td>0.029580</td>\n",
       "      <td>0.020077</td>\n",
       "      <td>0.016147</td>\n",
       "      <td>0.015719</td>\n",
       "      <td>0.033867</td>\n",
       "      <td>0.048300</td>\n",
       "      <td>0.038797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 31.1</th>\n",
       "      <td>N</td>\n",
       "      <td>0.266585</td>\n",
       "      <td>0.211669</td>\n",
       "      <td>0.159723</td>\n",
       "      <td>0.125981</td>\n",
       "      <td>0.145860</td>\n",
       "      <td>0.196283</td>\n",
       "      <td>0.250971</td>\n",
       "      <td>0.283418</td>\n",
       "      <td>0.248229</td>\n",
       "      <td>...</td>\n",
       "      <td>0.028106</td>\n",
       "      <td>0.041435</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.047452</td>\n",
       "      <td>0.053546</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.037474</td>\n",
       "      <td>0.046005</td>\n",
       "      <td>0.023231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 17</th>\n",
       "      <td>N</td>\n",
       "      <td>0.372483</td>\n",
       "      <td>0.382587</td>\n",
       "      <td>0.396345</td>\n",
       "      <td>0.401863</td>\n",
       "      <td>0.383089</td>\n",
       "      <td>0.350340</td>\n",
       "      <td>0.314798</td>\n",
       "      <td>0.274095</td>\n",
       "      <td>0.218703</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009746</td>\n",
       "      <td>0.014188</td>\n",
       "      <td>0.015335</td>\n",
       "      <td>0.007166</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Normal 32</th>\n",
       "      <td>N</td>\n",
       "      <td>0.113065</td>\n",
       "      <td>0.139194</td>\n",
       "      <td>0.171917</td>\n",
       "      <td>0.194139</td>\n",
       "      <td>0.183516</td>\n",
       "      <td>0.154579</td>\n",
       "      <td>0.122466</td>\n",
       "      <td>0.094017</td>\n",
       "      <td>0.076923</td>\n",
       "      <td>...</td>\n",
       "      <td>0.031746</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020879</td>\n",
       "      <td>0.077412</td>\n",
       "      <td>0.083761</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010256</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>79 rows × 1702 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "wavenumber  Class  450 cm-1  451 cm-1  452 cm-1  453 cm-1  454 cm-1  455 cm-1  \\\n",
       "Pro 2           P  0.127357  0.135103  0.142450  0.149741  0.156633  0.163411   \n",
       "Pro 3           P  0.123484  0.110175  0.096220  0.083677  0.075609  0.070133   \n",
       "Pro 4           P  0.164392  0.181693  0.200372  0.211607  0.200648  0.177006   \n",
       "Pro 5           P  0.242727  0.237231  0.231457  0.228348  0.232789  0.241561   \n",
       "Pro 6           P  0.160014  0.153166  0.146270  0.143114  0.151418  0.166084   \n",
       "Pro 11          P  0.086731  0.084183  0.081684  0.080606  0.083889  0.089720   \n",
       "Pro 12          P  0.232703  0.235981  0.240122  0.243803  0.246103  0.247369   \n",
       "Pro 24          P  0.143805  0.141639  0.139270  0.133383  0.117412  0.095351   \n",
       "Pro 25          P  0.142210  0.143342  0.145355  0.151959  0.171835  0.199384   \n",
       "Pro 26          P  0.273459  0.244398  0.214169  0.188375  0.176296  0.171802   \n",
       "Pro 27          P  0.205269  0.200024  0.196090  0.191024  0.182084  0.170819   \n",
       "Pro 28          P  0.051355  0.062996  0.075667  0.084681  0.082260  0.073504   \n",
       "Pro 32          P  0.331366  0.318308  0.307486  0.296753  0.286468  0.276362   \n",
       "Pro 33          P  0.155496  0.198078  0.244889  0.279708  0.278862  0.257648   \n",
       "Pro 34          P  0.174028  0.171174  0.168169  0.164363  0.158203  0.150691   \n",
       "Pro 35          P  0.384564  0.350081  0.313971  0.287406  0.289478  0.307977   \n",
       "Pro 36          P  0.225720  0.214225  0.202795  0.195742  0.201424  0.214421   \n",
       "Pro 39          P  0.187881  0.215389  0.244648  0.263851  0.253017  0.224861   \n",
       "Pro 40          P  0.064039  0.052289  0.040645  0.036159  0.052663  0.081237   \n",
       "Pro 19          P  0.406677  0.386699  0.365654  0.348251  0.341325  0.340526   \n",
       "Pro 20          P  0.079687  0.084069  0.088484  0.092221  0.093704  0.093865   \n",
       "Pro 21          P  0.045904  0.045254  0.044605  0.044746  0.047343  0.051324   \n",
       "Pro 22          P  0.031146  0.020862  0.009924  0.003294  0.008763  0.021475   \n",
       "Pro 23          P  0.141150  0.142146  0.143547  0.144838  0.145650  0.146092   \n",
       "Pro 29          P  0.059461  0.064927  0.070489  0.072682  0.064959  0.051548   \n",
       "Pro 30          P  0.290709  0.265374  0.239130  0.217019  0.207762  0.205695   \n",
       "Pro 31          P  0.165571  0.128733  0.090790  0.063538  0.067854  0.090188   \n",
       "Pro 37          P  0.192468  0.184294  0.176965  0.172229  0.174935  0.181813   \n",
       "Pro 38          P  0.082727  0.083119  0.082858  0.081879  0.078845  0.074637   \n",
       "Pro 1           P  0.180037  0.178676  0.177358  0.177571  0.182120  0.189304   \n",
       "...           ...       ...       ...       ...       ...       ...       ...   \n",
       "Normal 3        N  0.457526  0.435753  0.412735  0.396642  0.400678  0.416222   \n",
       "Normal 4        N  0.108456  0.100492  0.093349  0.087412  0.084854  0.084275   \n",
       "Normal 5        N  0.093558  0.089944  0.087802  0.086464  0.087133  0.089007   \n",
       "Normal 6        N  0.614847  0.633889  0.653354  0.661358  0.635238  0.589737   \n",
       "Normal 7        N  0.203566  0.208156  0.213944  0.216006  0.206559  0.190593   \n",
       "Normal 8        N  0.213544  0.211803  0.210485  0.209483  0.209061  0.208955   \n",
       "Normal 9        N  0.755460  0.766124  0.782517  0.805321  0.846616  0.898576   \n",
       "Normal 10       N  0.311826  0.318300  0.326859  0.330654  0.320682  0.302523   \n",
       "Normal 11       N  0.245885  0.238597  0.232741  0.230659  0.239703  0.255059   \n",
       "Normal 12       N  0.103139  0.132344  0.164769  0.191560  0.201219  0.201104   \n",
       "Normal 13       N  0.438904  0.427558  0.415615  0.396656  0.356722  0.304695   \n",
       "Normal 14       N  0.548763  0.572643  0.603401  0.632343  0.656128  0.676664   \n",
       "Normal 15       N  0.552299  0.503371  0.455394  0.417445  0.409146  0.417704   \n",
       "Normal 16       N  0.224602  0.202542  0.180481  0.162847  0.158064  0.160491   \n",
       "Normal 18       N  0.213682  0.202406  0.191881  0.185679  0.191631  0.204598   \n",
       "Normal 19       N  0.151111  0.155801  0.161472  0.163177  0.153371  0.136955   \n",
       "Normal 20       N  0.181722  0.145919  0.108969  0.082576  0.087441  0.110117   \n",
       "Normal 21       N  0.200659  0.215214  0.231509  0.238100  0.214756  0.174387   \n",
       "Normal 22       N  0.341059  0.329256  0.316667  0.305722  0.300000  0.297067   \n",
       "Normal 23       N  0.238512  0.227462  0.215536  0.200328  0.176368  0.147046   \n",
       "Normal 24       N  0.338527  0.357951  0.382782  0.407542  0.431732  0.455567   \n",
       "Normal 25       N  0.324303  0.314882  0.307493  0.297272  0.278801  0.255649   \n",
       "Normal 26       N  0.334608  0.322294  0.309851  0.300713  0.301426  0.307712   \n",
       "Normal 27       N  0.109257  0.098867  0.088989  0.077152  0.059610  0.038576   \n",
       "Normal 28.1     N  0.946606  0.963298  0.981188  0.995758  1.000000  0.998709   \n",
       "Normal 29       N  0.168156  0.166941  0.165060  0.163179  0.161494  0.159887   \n",
       "Normal 30.1     N  1.000000  0.989354  0.977422  0.964919  0.950414  0.934910   \n",
       "Normal 31.1     N  0.266585  0.211669  0.159723  0.125981  0.145860  0.196283   \n",
       "Normal 17       N  0.372483  0.382587  0.396345  0.401863  0.383089  0.350340   \n",
       "Normal 32       N  0.113065  0.139194  0.171917  0.194139  0.183516  0.154579   \n",
       "\n",
       "wavenumber   456 cm-1  457 cm-1  458 cm-1  ...  2141 cm-1  2142 cm-1  \\\n",
       "Pro 2        0.169619  0.167227  0.139261  ...   0.000000   0.000000   \n",
       "Pro 3        0.065128  0.060888  0.058945  ...   0.038276   0.034507   \n",
       "Pro 4        0.151089  0.126068  0.104494  ...   0.002206   0.006824   \n",
       "Pro 5        0.250833  0.254330  0.240395  ...   0.000500   0.003498   \n",
       "Pro 6        0.181721  0.192988  0.190899  ...   0.000000   0.000000   \n",
       "Pro 11       0.095796  0.097903  0.088250  ...   0.003822   0.006370   \n",
       "Pro 12       0.248519  0.246333  0.234428  ...   0.004486   0.004486   \n",
       "Pro 24       0.072545  0.052852  0.042837  ...   0.000000   0.000000   \n",
       "Pro 25       0.227499  0.239449  0.203661  ...   0.019624   0.026920   \n",
       "Pro 26       0.168709  0.165966  0.163807  ...   0.004727   0.014414   \n",
       "Pro 27       0.159197  0.146084  0.128561  ...   0.005424   0.000000   \n",
       "Pro 28       0.063408  0.052539  0.039353  ...   0.029103   0.035129   \n",
       "Pro 32       0.266255  0.256864  0.249173  ...   0.011895   0.026921   \n",
       "Pro 33       0.232898  0.209070  0.188855  ...   0.013297   0.033666   \n",
       "Pro 34       0.142979  0.137620  0.139323  ...   0.017027   0.016877   \n",
       "Pro 35       0.328844  0.336984  0.307163  ...   0.000000   0.000000   \n",
       "Pro 36       0.228463  0.236889  0.228071  ...   0.000000   0.010319   \n",
       "Pro 39       0.194044  0.167640  0.155119  ...   0.013689   0.000000   \n",
       "Pro 40       0.111414  0.131977  0.123805  ...   0.011910   0.030337   \n",
       "Pro 19       0.340082  0.324809  0.265406  ...   0.011898   0.020156   \n",
       "Pro 20       0.093800  0.092544  0.087871  ...   0.021525   0.012309   \n",
       "Pro 21       0.055418  0.056321  0.047626  ...   0.009119   0.018265   \n",
       "Pro 22       0.035284  0.044554  0.040204  ...   0.000000   0.000000   \n",
       "Pro 23       0.146424  0.144433  0.135507  ...   0.000000   0.000000   \n",
       "Pro 29       0.037342  0.025774  0.022342  ...   0.000000   0.000000   \n",
       "Pro 30       0.204910  0.202389  0.194826  ...   0.003968   0.011366   \n",
       "Pro 31       0.115533  0.135609  0.139774  ...   0.000000   0.000000   \n",
       "Pro 37       0.188973  0.186661  0.156275  ...   0.005468   0.024467   \n",
       "Pro 38       0.070168  0.063448  0.050302  ...   0.010243   0.009558   \n",
       "Pro 1        0.196531  0.196489  0.174765  ...   0.000000   0.000000   \n",
       "...               ...       ...       ...  ...        ...        ...   \n",
       "Normal 3     0.433561  0.444522  0.436351  ...   0.000000   0.000000   \n",
       "Normal 4     0.084130  0.084950  0.088908  ...   0.003765   0.007964   \n",
       "Normal 5     0.091059  0.091818  0.088739  ...   0.002008   0.005755   \n",
       "Normal 6     0.540698  0.493259  0.450961  ...   0.024688   0.004297   \n",
       "Normal 7     0.173497  0.158329  0.149015  ...   0.037187   0.035325   \n",
       "Normal 8     0.208428  0.198249  0.159380  ...   0.026475   0.025948   \n",
       "Normal 9     0.950876  0.973056  0.905837  ...   0.000000   0.000000   \n",
       "Normal 10    0.283099  0.263824  0.245442  ...   0.017340   0.050086   \n",
       "Normal 11    0.270805  0.271000  0.224673  ...   0.048214   0.037153   \n",
       "Normal 12    0.199092  0.194607  0.182879  ...   0.007474   0.017707   \n",
       "Normal 13    0.251026  0.205867  0.186236  ...   0.000000   0.000000   \n",
       "Normal 14    0.695864  0.696151  0.640558  ...   0.000000   0.000000   \n",
       "Normal 15    0.428596  0.424965  0.377939  ...   0.000000   0.007261   \n",
       "Normal 16    0.164204  0.163918  0.152138  ...   0.017705   0.039552   \n",
       "Normal 18    0.218443  0.224519  0.207542  ...   0.000000   0.000000   \n",
       "Normal 19    0.119601  0.108515  0.115891  ...   0.000000   0.006012   \n",
       "Normal 20    0.135729  0.156201  0.161021  ...   0.000000   0.000000   \n",
       "Normal 21    0.131454  0.095661  0.081838  ...   0.011443   0.000000   \n",
       "Normal 22    0.294492  0.287768  0.269099  ...   0.000000   0.009299   \n",
       "Normal 23    0.117177  0.094092  0.090263  ...   0.033807   0.077133   \n",
       "Normal 24    0.478549  0.484240  0.438705  ...   0.000000   0.000000   \n",
       "Normal 25    0.231513  0.206391  0.178129  ...   0.000000   0.000000   \n",
       "Normal 26    0.314776  0.316397  0.301685  ...   0.022035   0.004861   \n",
       "Normal 27    0.017287  0.001022  0.000000  ...   0.049732   0.049732   \n",
       "Normal 28.1  0.995574  0.979897  0.926872  ...   0.000000   0.010605   \n",
       "Normal 29    0.158398  0.157614  0.158986  ...   0.025080   0.026883   \n",
       "Normal 30.1  0.919048  0.898614  0.865104  ...   0.007645   0.022364   \n",
       "Normal 31.1  0.250971  0.283418  0.248229  ...   0.028106   0.041435   \n",
       "Normal 17    0.314798  0.274095  0.218703  ...   0.000000   0.009746   \n",
       "Normal 32    0.122466  0.094017  0.076923  ...   0.031746   0.000000   \n",
       "\n",
       "wavenumber   2143 cm-1  2144 cm-1  2145 cm-1  2146 cm-1  2147 cm-1  2148 cm-1  \\\n",
       "Pro 2         0.002563   0.023523   0.029447   0.009056   0.000000   0.007632   \n",
       "Pro 3         0.027146   0.016311   0.000000   0.006595   0.009481   0.000000   \n",
       "Pro 4         0.000000   0.000000   0.000000   0.005652   0.008823   0.012062   \n",
       "Pro 5         0.000000   0.003054   0.001055   0.000000   0.000000   0.005385   \n",
       "Pro 6         0.000000   0.000000   0.000000   0.000728   0.005002   0.007236   \n",
       "Pro 11        0.000000   0.000000   0.000000   0.006811   0.014259   0.017101   \n",
       "Pro 12        0.000000   0.007822   0.009432   0.000000   0.000000   0.005464   \n",
       "Pro 24        0.003993   0.014617   0.017663   0.014685   0.021182   0.019219   \n",
       "Pro 25        0.019624   0.019624   0.019624   0.019624   0.021574   0.022643   \n",
       "Pro 26        0.012080   0.000000   0.000000   0.000000   0.001342   0.000700   \n",
       "Pro 27        0.000000   0.000000   0.003338   0.013172   0.016987   0.000000   \n",
       "Pro 28        0.030493   0.026682   0.026682   0.026682   0.028124   0.029360   \n",
       "Pro 32        0.022180   0.015741   0.023611   0.014668   0.000000   0.000000   \n",
       "Pro 33        0.028670   0.002613   0.003920   0.000000   0.000000   0.000000   \n",
       "Pro 34        0.012570   0.000000   0.000000   0.000000   0.000000   0.004207   \n",
       "Pro 35        0.000000   0.000518   0.006364   0.015169   0.017241   0.000000   \n",
       "Pro 36        0.005029   0.006662   0.000000   0.003788   0.012867   0.023513   \n",
       "Pro 39        0.000000   0.000000   0.004022   0.024329   0.037758   0.031984   \n",
       "Pro 40        0.029376   0.013673   0.013940   0.040165   0.058644   0.030017   \n",
       "Pro 19        0.000000   0.000000   0.002664   0.038714   0.060646   0.017936   \n",
       "Pro 20        0.008378   0.007508   0.014565   0.017207   0.016144   0.009183   \n",
       "Pro 21        0.022811   0.028372   0.027751   0.017503   0.004573   0.000000   \n",
       "Pro 22        0.000000   0.000000   0.000000   0.005743   0.011677   0.011381   \n",
       "Pro 23        0.001402   0.003836   0.003946   0.012503   0.027514   0.030354   \n",
       "Pro 29        0.000000   0.006547   0.014587   0.022024   0.026219   0.024089   \n",
       "Pro 30        0.009588   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "Pro 31        0.000000   0.002309   0.005521   0.012698   0.016311   0.006173   \n",
       "Pro 37        0.029992   0.035630   0.027117   0.000000   0.000000   0.004115   \n",
       "Pro 38        0.009558   0.017289   0.023226   0.024662   0.021106   0.014843   \n",
       "Pro 1         0.000000   0.000000   0.002933   0.013689   0.020618   0.011563   \n",
       "...                ...        ...        ...        ...        ...        ...   \n",
       "Normal 3      0.000000   0.004434   0.005779   0.000000   0.000000   0.003239   \n",
       "Normal 4      0.007192   0.007144   0.014239   0.030939   0.043971   0.039386   \n",
       "Normal 5      0.007451   0.006157   0.000000   0.000000   0.000000   0.000758   \n",
       "Normal 6      0.000000   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "Normal 7      0.015700   0.000000   0.000000   0.000000   0.000000   0.004524   \n",
       "Normal 8      0.022625   0.005907   0.005907   0.009546   0.012763   0.005907   \n",
       "Normal 9      0.009586   0.021045   0.020137   0.000000   0.000000   0.000000   \n",
       "Normal 10     0.048299   0.018233   0.000000   0.027313   0.065491   0.082831   \n",
       "Normal 11     0.037153   0.037153   0.037153   0.043854   0.048279   0.037153   \n",
       "Normal 12     0.014315   0.000000   0.000000   0.006669   0.017707   0.016902   \n",
       "Normal 13     0.000000   0.006942   0.002687   0.000000   0.000000   0.000000   \n",
       "Normal 14     0.000000   0.000000   0.000000   0.009456   0.020823   0.026841   \n",
       "Normal 15     0.007434   0.010979   0.014436   0.000000   0.000000   0.000000   \n",
       "Normal 16     0.032198   0.000000   0.004783   0.023417   0.040266   0.064396   \n",
       "Normal 18     0.000000   0.000000   0.000000   0.011840   0.020422   0.000000   \n",
       "Normal 19     0.005927   0.000000   0.000000   0.000853   0.002473   0.000000   \n",
       "Normal 20     0.000000   0.011200   0.015928   0.005738   0.002157   0.006472   \n",
       "Normal 21     0.000000   0.005767   0.003753   0.018949   0.034420   0.054650   \n",
       "Normal 22     0.009013   0.022318   0.034263   0.020315   0.017668   0.020672   \n",
       "Normal 23     0.103611   0.119365   0.127571   0.127243   0.120678   0.080416   \n",
       "Normal 24     0.000000   0.000000   0.000783   0.008396   0.011953   0.006403   \n",
       "Normal 25     0.000000   0.004618   0.006896   0.028262   0.054923   0.047472   \n",
       "Normal 26     0.000000   0.025081   0.033377   0.019961   0.014064   0.006935   \n",
       "Normal 27     0.049732   0.049732   0.049732   0.071447   0.089585   0.074172   \n",
       "Normal 28.1   0.021855   0.038731   0.031538   0.024899   0.011988   0.000000   \n",
       "Normal 29     0.022690   0.013833   0.011208   0.013246   0.010111   0.000000   \n",
       "Normal 30.1   0.026007   0.029580   0.020077   0.016147   0.015719   0.033867   \n",
       "Normal 31.1   0.023231   0.047452   0.053546   0.023231   0.023231   0.037474   \n",
       "Normal 17     0.014188   0.015335   0.007166   0.000000   0.000000   0.000000   \n",
       "Normal 32     0.020879   0.077412   0.083761   0.000000   0.000000   0.000000   \n",
       "\n",
       "wavenumber   2149 cm-1  2150 cm-1  \n",
       "Pro 2         0.018454   0.019536  \n",
       "Pro 3         0.000000   0.009716  \n",
       "Pro 4         0.025986   0.028122  \n",
       "Pro 5         0.008272   0.000000  \n",
       "Pro 6         0.008304   0.008304  \n",
       "Pro 11        0.024990   0.018914  \n",
       "Pro 12        0.012078   0.018577  \n",
       "Pro 24        0.013264   0.009203  \n",
       "Pro 25        0.019624   0.019624  \n",
       "Pro 26        0.005486   0.008345  \n",
       "Pro 27        0.000000   0.000000  \n",
       "Pro 28        0.033996   0.042495  \n",
       "Pro 32        0.002951   0.000000  \n",
       "Pro 33        0.000231   0.003689  \n",
       "Pro 34        0.006711   0.006510  \n",
       "Pro 35        0.000000   0.000000  \n",
       "Pro 36        0.025537   0.000000  \n",
       "Pro 39        0.048981   0.058972  \n",
       "Pro 40        0.000000   0.001442  \n",
       "Pro 19        0.000000   0.000000  \n",
       "Pro 20        0.001418   0.005575  \n",
       "Pro 21        0.000000   0.000000  \n",
       "Pro 22        0.011044   0.008531  \n",
       "Pro 23        0.026998   0.018404  \n",
       "Pro 29        0.017892   0.008263  \n",
       "Pro 30        0.000000   0.006571  \n",
       "Pro 31        0.000000   0.000000  \n",
       "Pro 37        0.019957   0.022381  \n",
       "Pro 38        0.017583   0.015919  \n",
       "Pro 1         0.000000   0.003443  \n",
       "...                ...        ...  \n",
       "Normal 3      0.009865   0.013402  \n",
       "Normal 4      0.026306   0.006950  \n",
       "Normal 5      0.000000   0.002722  \n",
       "Normal 6      0.004044   0.000000  \n",
       "Normal 7      0.007251   0.007251  \n",
       "Normal 8      0.014029   0.025895  \n",
       "Normal 9      0.007034   0.012423  \n",
       "Normal 10     0.078515   0.048895  \n",
       "Normal 11     0.037153   0.037153  \n",
       "Normal 12     0.015063   0.028286  \n",
       "Normal 13     0.010226   0.028290  \n",
       "Normal 14     0.019200   0.000000  \n",
       "Normal 15     0.000000   0.000000  \n",
       "Normal 16     0.080174   0.065396  \n",
       "Normal 18     0.001566   0.000000  \n",
       "Normal 19     0.000000   0.005245  \n",
       "Normal 20     0.015423   0.014642  \n",
       "Normal 21     0.067649   0.066276  \n",
       "Normal 22     0.027539   0.027539  \n",
       "Normal 23     0.032166   0.010722  \n",
       "Normal 24     0.017147   0.018214  \n",
       "Normal 25     0.037744   0.014962  \n",
       "Normal 26     0.000000   0.000000  \n",
       "Normal 27     0.049732   0.049732  \n",
       "Normal 28.1   0.000000   0.000000  \n",
       "Normal 29     0.000000   0.006819  \n",
       "Normal 30.1   0.048300   0.038797  \n",
       "Normal 31.1   0.046005   0.023231  \n",
       "Normal 17     0.000000   0.006808  \n",
       "Normal 32     0.000000   0.010256  \n",
       "\n",
       "[79 rows x 1702 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.insert(0,'Class', y)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.reset_index(inplace = True)\n",
    "df.index = df.index +1\n",
    "df.rename(columns = {'index': 'SampleID'}, inplace = True)\n",
    "df.index.name = 'Idx'\n",
    "df.insert(1,'SampleType','Sample')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>wavenumber</th>\n",
       "      <th>SampleID</th>\n",
       "      <th>SampleType</th>\n",
       "      <th>Class</th>\n",
       "      <th>450 cm-1</th>\n",
       "      <th>451 cm-1</th>\n",
       "      <th>452 cm-1</th>\n",
       "      <th>453 cm-1</th>\n",
       "      <th>454 cm-1</th>\n",
       "      <th>455 cm-1</th>\n",
       "      <th>456 cm-1</th>\n",
       "      <th>...</th>\n",
       "      <th>2141 cm-1</th>\n",
       "      <th>2142 cm-1</th>\n",
       "      <th>2143 cm-1</th>\n",
       "      <th>2144 cm-1</th>\n",
       "      <th>2145 cm-1</th>\n",
       "      <th>2146 cm-1</th>\n",
       "      <th>2147 cm-1</th>\n",
       "      <th>2148 cm-1</th>\n",
       "      <th>2149 cm-1</th>\n",
       "      <th>2150 cm-1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idx</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Pro 2</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.127357</td>\n",
       "      <td>0.135103</td>\n",
       "      <td>0.142450</td>\n",
       "      <td>0.149741</td>\n",
       "      <td>0.156633</td>\n",
       "      <td>0.163411</td>\n",
       "      <td>0.169619</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002563</td>\n",
       "      <td>0.023523</td>\n",
       "      <td>0.029447</td>\n",
       "      <td>0.009056</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007632</td>\n",
       "      <td>0.018454</td>\n",
       "      <td>0.019536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Pro 3</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.123484</td>\n",
       "      <td>0.110175</td>\n",
       "      <td>0.096220</td>\n",
       "      <td>0.083677</td>\n",
       "      <td>0.075609</td>\n",
       "      <td>0.070133</td>\n",
       "      <td>0.065128</td>\n",
       "      <td>...</td>\n",
       "      <td>0.038276</td>\n",
       "      <td>0.034507</td>\n",
       "      <td>0.027146</td>\n",
       "      <td>0.016311</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006595</td>\n",
       "      <td>0.009481</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Pro 4</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.164392</td>\n",
       "      <td>0.181693</td>\n",
       "      <td>0.200372</td>\n",
       "      <td>0.211607</td>\n",
       "      <td>0.200648</td>\n",
       "      <td>0.177006</td>\n",
       "      <td>0.151089</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002206</td>\n",
       "      <td>0.006824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005652</td>\n",
       "      <td>0.008823</td>\n",
       "      <td>0.012062</td>\n",
       "      <td>0.025986</td>\n",
       "      <td>0.028122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Pro 5</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.242727</td>\n",
       "      <td>0.237231</td>\n",
       "      <td>0.231457</td>\n",
       "      <td>0.228348</td>\n",
       "      <td>0.232789</td>\n",
       "      <td>0.241561</td>\n",
       "      <td>0.250833</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.003498</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003054</td>\n",
       "      <td>0.001055</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005385</td>\n",
       "      <td>0.008272</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Pro 6</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.160014</td>\n",
       "      <td>0.153166</td>\n",
       "      <td>0.146270</td>\n",
       "      <td>0.143114</td>\n",
       "      <td>0.151418</td>\n",
       "      <td>0.166084</td>\n",
       "      <td>0.181721</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000728</td>\n",
       "      <td>0.005002</td>\n",
       "      <td>0.007236</td>\n",
       "      <td>0.008304</td>\n",
       "      <td>0.008304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Pro 11</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.086731</td>\n",
       "      <td>0.084183</td>\n",
       "      <td>0.081684</td>\n",
       "      <td>0.080606</td>\n",
       "      <td>0.083889</td>\n",
       "      <td>0.089720</td>\n",
       "      <td>0.095796</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003822</td>\n",
       "      <td>0.006370</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006811</td>\n",
       "      <td>0.014259</td>\n",
       "      <td>0.017101</td>\n",
       "      <td>0.024990</td>\n",
       "      <td>0.018914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Pro 12</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.232703</td>\n",
       "      <td>0.235981</td>\n",
       "      <td>0.240122</td>\n",
       "      <td>0.243803</td>\n",
       "      <td>0.246103</td>\n",
       "      <td>0.247369</td>\n",
       "      <td>0.248519</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004486</td>\n",
       "      <td>0.004486</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007822</td>\n",
       "      <td>0.009432</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005464</td>\n",
       "      <td>0.012078</td>\n",
       "      <td>0.018577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Pro 24</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.143805</td>\n",
       "      <td>0.141639</td>\n",
       "      <td>0.139270</td>\n",
       "      <td>0.133383</td>\n",
       "      <td>0.117412</td>\n",
       "      <td>0.095351</td>\n",
       "      <td>0.072545</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003993</td>\n",
       "      <td>0.014617</td>\n",
       "      <td>0.017663</td>\n",
       "      <td>0.014685</td>\n",
       "      <td>0.021182</td>\n",
       "      <td>0.019219</td>\n",
       "      <td>0.013264</td>\n",
       "      <td>0.009203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Pro 25</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.142210</td>\n",
       "      <td>0.143342</td>\n",
       "      <td>0.145355</td>\n",
       "      <td>0.151959</td>\n",
       "      <td>0.171835</td>\n",
       "      <td>0.199384</td>\n",
       "      <td>0.227499</td>\n",
       "      <td>...</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.026920</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.021574</td>\n",
       "      <td>0.022643</td>\n",
       "      <td>0.019624</td>\n",
       "      <td>0.019624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Pro 26</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.273459</td>\n",
       "      <td>0.244398</td>\n",
       "      <td>0.214169</td>\n",
       "      <td>0.188375</td>\n",
       "      <td>0.176296</td>\n",
       "      <td>0.171802</td>\n",
       "      <td>0.168709</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004727</td>\n",
       "      <td>0.014414</td>\n",
       "      <td>0.012080</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001342</td>\n",
       "      <td>0.000700</td>\n",
       "      <td>0.005486</td>\n",
       "      <td>0.008345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Pro 27</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.205269</td>\n",
       "      <td>0.200024</td>\n",
       "      <td>0.196090</td>\n",
       "      <td>0.191024</td>\n",
       "      <td>0.182084</td>\n",
       "      <td>0.170819</td>\n",
       "      <td>0.159197</td>\n",
       "      <td>...</td>\n",
       "      <td>0.005424</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003338</td>\n",
       "      <td>0.013172</td>\n",
       "      <td>0.016987</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Pro 28</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.051355</td>\n",
       "      <td>0.062996</td>\n",
       "      <td>0.075667</td>\n",
       "      <td>0.084681</td>\n",
       "      <td>0.082260</td>\n",
       "      <td>0.073504</td>\n",
       "      <td>0.063408</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029103</td>\n",
       "      <td>0.035129</td>\n",
       "      <td>0.030493</td>\n",
       "      <td>0.026682</td>\n",
       "      <td>0.026682</td>\n",
       "      <td>0.026682</td>\n",
       "      <td>0.028124</td>\n",
       "      <td>0.029360</td>\n",
       "      <td>0.033996</td>\n",
       "      <td>0.042495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Pro 32</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.331366</td>\n",
       "      <td>0.318308</td>\n",
       "      <td>0.307486</td>\n",
       "      <td>0.296753</td>\n",
       "      <td>0.286468</td>\n",
       "      <td>0.276362</td>\n",
       "      <td>0.266255</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011895</td>\n",
       "      <td>0.026921</td>\n",
       "      <td>0.022180</td>\n",
       "      <td>0.015741</td>\n",
       "      <td>0.023611</td>\n",
       "      <td>0.014668</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002951</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Pro 33</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.155496</td>\n",
       "      <td>0.198078</td>\n",
       "      <td>0.244889</td>\n",
       "      <td>0.279708</td>\n",
       "      <td>0.278862</td>\n",
       "      <td>0.257648</td>\n",
       "      <td>0.232898</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013297</td>\n",
       "      <td>0.033666</td>\n",
       "      <td>0.028670</td>\n",
       "      <td>0.002613</td>\n",
       "      <td>0.003920</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000231</td>\n",
       "      <td>0.003689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Pro 34</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.174028</td>\n",
       "      <td>0.171174</td>\n",
       "      <td>0.168169</td>\n",
       "      <td>0.164363</td>\n",
       "      <td>0.158203</td>\n",
       "      <td>0.150691</td>\n",
       "      <td>0.142979</td>\n",
       "      <td>...</td>\n",
       "      <td>0.017027</td>\n",
       "      <td>0.016877</td>\n",
       "      <td>0.012570</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004207</td>\n",
       "      <td>0.006711</td>\n",
       "      <td>0.006510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Pro 35</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.384564</td>\n",
       "      <td>0.350081</td>\n",
       "      <td>0.313971</td>\n",
       "      <td>0.287406</td>\n",
       "      <td>0.289478</td>\n",
       "      <td>0.307977</td>\n",
       "      <td>0.328844</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000518</td>\n",
       "      <td>0.006364</td>\n",
       "      <td>0.015169</td>\n",
       "      <td>0.017241</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Pro 36</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.225720</td>\n",
       "      <td>0.214225</td>\n",
       "      <td>0.202795</td>\n",
       "      <td>0.195742</td>\n",
       "      <td>0.201424</td>\n",
       "      <td>0.214421</td>\n",
       "      <td>0.228463</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010319</td>\n",
       "      <td>0.005029</td>\n",
       "      <td>0.006662</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003788</td>\n",
       "      <td>0.012867</td>\n",
       "      <td>0.023513</td>\n",
       "      <td>0.025537</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Pro 39</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.187881</td>\n",
       "      <td>0.215389</td>\n",
       "      <td>0.244648</td>\n",
       "      <td>0.263851</td>\n",
       "      <td>0.253017</td>\n",
       "      <td>0.224861</td>\n",
       "      <td>0.194044</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013689</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004022</td>\n",
       "      <td>0.024329</td>\n",
       "      <td>0.037758</td>\n",
       "      <td>0.031984</td>\n",
       "      <td>0.048981</td>\n",
       "      <td>0.058972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Pro 40</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.064039</td>\n",
       "      <td>0.052289</td>\n",
       "      <td>0.040645</td>\n",
       "      <td>0.036159</td>\n",
       "      <td>0.052663</td>\n",
       "      <td>0.081237</td>\n",
       "      <td>0.111414</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011910</td>\n",
       "      <td>0.030337</td>\n",
       "      <td>0.029376</td>\n",
       "      <td>0.013673</td>\n",
       "      <td>0.013940</td>\n",
       "      <td>0.040165</td>\n",
       "      <td>0.058644</td>\n",
       "      <td>0.030017</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Pro 19</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.406677</td>\n",
       "      <td>0.386699</td>\n",
       "      <td>0.365654</td>\n",
       "      <td>0.348251</td>\n",
       "      <td>0.341325</td>\n",
       "      <td>0.340526</td>\n",
       "      <td>0.340082</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011898</td>\n",
       "      <td>0.020156</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002664</td>\n",
       "      <td>0.038714</td>\n",
       "      <td>0.060646</td>\n",
       "      <td>0.017936</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Pro 20</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.079687</td>\n",
       "      <td>0.084069</td>\n",
       "      <td>0.088484</td>\n",
       "      <td>0.092221</td>\n",
       "      <td>0.093704</td>\n",
       "      <td>0.093865</td>\n",
       "      <td>0.093800</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021525</td>\n",
       "      <td>0.012309</td>\n",
       "      <td>0.008378</td>\n",
       "      <td>0.007508</td>\n",
       "      <td>0.014565</td>\n",
       "      <td>0.017207</td>\n",
       "      <td>0.016144</td>\n",
       "      <td>0.009183</td>\n",
       "      <td>0.001418</td>\n",
       "      <td>0.005575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Pro 21</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.045904</td>\n",
       "      <td>0.045254</td>\n",
       "      <td>0.044605</td>\n",
       "      <td>0.044746</td>\n",
       "      <td>0.047343</td>\n",
       "      <td>0.051324</td>\n",
       "      <td>0.055418</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009119</td>\n",
       "      <td>0.018265</td>\n",
       "      <td>0.022811</td>\n",
       "      <td>0.028372</td>\n",
       "      <td>0.027751</td>\n",
       "      <td>0.017503</td>\n",
       "      <td>0.004573</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Pro 22</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.031146</td>\n",
       "      <td>0.020862</td>\n",
       "      <td>0.009924</td>\n",
       "      <td>0.003294</td>\n",
       "      <td>0.008763</td>\n",
       "      <td>0.021475</td>\n",
       "      <td>0.035284</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005743</td>\n",
       "      <td>0.011677</td>\n",
       "      <td>0.011381</td>\n",
       "      <td>0.011044</td>\n",
       "      <td>0.008531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Pro 23</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.141150</td>\n",
       "      <td>0.142146</td>\n",
       "      <td>0.143547</td>\n",
       "      <td>0.144838</td>\n",
       "      <td>0.145650</td>\n",
       "      <td>0.146092</td>\n",
       "      <td>0.146424</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001402</td>\n",
       "      <td>0.003836</td>\n",
       "      <td>0.003946</td>\n",
       "      <td>0.012503</td>\n",
       "      <td>0.027514</td>\n",
       "      <td>0.030354</td>\n",
       "      <td>0.026998</td>\n",
       "      <td>0.018404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Pro 29</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.059461</td>\n",
       "      <td>0.064927</td>\n",
       "      <td>0.070489</td>\n",
       "      <td>0.072682</td>\n",
       "      <td>0.064959</td>\n",
       "      <td>0.051548</td>\n",
       "      <td>0.037342</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006547</td>\n",
       "      <td>0.014587</td>\n",
       "      <td>0.022024</td>\n",
       "      <td>0.026219</td>\n",
       "      <td>0.024089</td>\n",
       "      <td>0.017892</td>\n",
       "      <td>0.008263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Pro 30</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.290709</td>\n",
       "      <td>0.265374</td>\n",
       "      <td>0.239130</td>\n",
       "      <td>0.217019</td>\n",
       "      <td>0.207762</td>\n",
       "      <td>0.205695</td>\n",
       "      <td>0.204910</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003968</td>\n",
       "      <td>0.011366</td>\n",
       "      <td>0.009588</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Pro 31</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.165571</td>\n",
       "      <td>0.128733</td>\n",
       "      <td>0.090790</td>\n",
       "      <td>0.063538</td>\n",
       "      <td>0.067854</td>\n",
       "      <td>0.090188</td>\n",
       "      <td>0.115533</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002309</td>\n",
       "      <td>0.005521</td>\n",
       "      <td>0.012698</td>\n",
       "      <td>0.016311</td>\n",
       "      <td>0.006173</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Pro 37</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.192468</td>\n",
       "      <td>0.184294</td>\n",
       "      <td>0.176965</td>\n",
       "      <td>0.172229</td>\n",
       "      <td>0.174935</td>\n",
       "      <td>0.181813</td>\n",
       "      <td>0.188973</td>\n",
       "      <td>...</td>\n",
       "      <td>0.005468</td>\n",
       "      <td>0.024467</td>\n",
       "      <td>0.029992</td>\n",
       "      <td>0.035630</td>\n",
       "      <td>0.027117</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004115</td>\n",
       "      <td>0.019957</td>\n",
       "      <td>0.022381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Pro 38</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.082727</td>\n",
       "      <td>0.083119</td>\n",
       "      <td>0.082858</td>\n",
       "      <td>0.081879</td>\n",
       "      <td>0.078845</td>\n",
       "      <td>0.074637</td>\n",
       "      <td>0.070168</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010243</td>\n",
       "      <td>0.009558</td>\n",
       "      <td>0.009558</td>\n",
       "      <td>0.017289</td>\n",
       "      <td>0.023226</td>\n",
       "      <td>0.024662</td>\n",
       "      <td>0.021106</td>\n",
       "      <td>0.014843</td>\n",
       "      <td>0.017583</td>\n",
       "      <td>0.015919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Pro 1</td>\n",
       "      <td>Sample</td>\n",
       "      <td>P</td>\n",
       "      <td>0.180037</td>\n",
       "      <td>0.178676</td>\n",
       "      <td>0.177358</td>\n",
       "      <td>0.177571</td>\n",
       "      <td>0.182120</td>\n",
       "      <td>0.189304</td>\n",
       "      <td>0.196531</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002933</td>\n",
       "      <td>0.013689</td>\n",
       "      <td>0.020618</td>\n",
       "      <td>0.011563</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003443</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",
       "      <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>50</th>\n",
       "      <td>Normal 3</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.457526</td>\n",
       "      <td>0.435753</td>\n",
       "      <td>0.412735</td>\n",
       "      <td>0.396642</td>\n",
       "      <td>0.400678</td>\n",
       "      <td>0.416222</td>\n",
       "      <td>0.433561</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004434</td>\n",
       "      <td>0.005779</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003239</td>\n",
       "      <td>0.009865</td>\n",
       "      <td>0.013402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Normal 4</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.108456</td>\n",
       "      <td>0.100492</td>\n",
       "      <td>0.093349</td>\n",
       "      <td>0.087412</td>\n",
       "      <td>0.084854</td>\n",
       "      <td>0.084275</td>\n",
       "      <td>0.084130</td>\n",
       "      <td>...</td>\n",
       "      <td>0.003765</td>\n",
       "      <td>0.007964</td>\n",
       "      <td>0.007192</td>\n",
       "      <td>0.007144</td>\n",
       "      <td>0.014239</td>\n",
       "      <td>0.030939</td>\n",
       "      <td>0.043971</td>\n",
       "      <td>0.039386</td>\n",
       "      <td>0.026306</td>\n",
       "      <td>0.006950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Normal 5</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.093558</td>\n",
       "      <td>0.089944</td>\n",
       "      <td>0.087802</td>\n",
       "      <td>0.086464</td>\n",
       "      <td>0.087133</td>\n",
       "      <td>0.089007</td>\n",
       "      <td>0.091059</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002008</td>\n",
       "      <td>0.005755</td>\n",
       "      <td>0.007451</td>\n",
       "      <td>0.006157</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000758</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Normal 6</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.614847</td>\n",
       "      <td>0.633889</td>\n",
       "      <td>0.653354</td>\n",
       "      <td>0.661358</td>\n",
       "      <td>0.635238</td>\n",
       "      <td>0.589737</td>\n",
       "      <td>0.540698</td>\n",
       "      <td>...</td>\n",
       "      <td>0.024688</td>\n",
       "      <td>0.004297</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004044</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Normal 7</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.203566</td>\n",
       "      <td>0.208156</td>\n",
       "      <td>0.213944</td>\n",
       "      <td>0.216006</td>\n",
       "      <td>0.206559</td>\n",
       "      <td>0.190593</td>\n",
       "      <td>0.173497</td>\n",
       "      <td>...</td>\n",
       "      <td>0.037187</td>\n",
       "      <td>0.035325</td>\n",
       "      <td>0.015700</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004524</td>\n",
       "      <td>0.007251</td>\n",
       "      <td>0.007251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Normal 8</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.213544</td>\n",
       "      <td>0.211803</td>\n",
       "      <td>0.210485</td>\n",
       "      <td>0.209483</td>\n",
       "      <td>0.209061</td>\n",
       "      <td>0.208955</td>\n",
       "      <td>0.208428</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026475</td>\n",
       "      <td>0.025948</td>\n",
       "      <td>0.022625</td>\n",
       "      <td>0.005907</td>\n",
       "      <td>0.005907</td>\n",
       "      <td>0.009546</td>\n",
       "      <td>0.012763</td>\n",
       "      <td>0.005907</td>\n",
       "      <td>0.014029</td>\n",
       "      <td>0.025895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Normal 9</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.755460</td>\n",
       "      <td>0.766124</td>\n",
       "      <td>0.782517</td>\n",
       "      <td>0.805321</td>\n",
       "      <td>0.846616</td>\n",
       "      <td>0.898576</td>\n",
       "      <td>0.950876</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009586</td>\n",
       "      <td>0.021045</td>\n",
       "      <td>0.020137</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007034</td>\n",
       "      <td>0.012423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Normal 10</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.311826</td>\n",
       "      <td>0.318300</td>\n",
       "      <td>0.326859</td>\n",
       "      <td>0.330654</td>\n",
       "      <td>0.320682</td>\n",
       "      <td>0.302523</td>\n",
       "      <td>0.283099</td>\n",
       "      <td>...</td>\n",
       "      <td>0.017340</td>\n",
       "      <td>0.050086</td>\n",
       "      <td>0.048299</td>\n",
       "      <td>0.018233</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.027313</td>\n",
       "      <td>0.065491</td>\n",
       "      <td>0.082831</td>\n",
       "      <td>0.078515</td>\n",
       "      <td>0.048895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Normal 11</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.245885</td>\n",
       "      <td>0.238597</td>\n",
       "      <td>0.232741</td>\n",
       "      <td>0.230659</td>\n",
       "      <td>0.239703</td>\n",
       "      <td>0.255059</td>\n",
       "      <td>0.270805</td>\n",
       "      <td>...</td>\n",
       "      <td>0.048214</td>\n",
       "      <td>0.037153</td>\n",
       "      <td>0.037153</td>\n",
       "      <td>0.037153</td>\n",
       "      <td>0.037153</td>\n",
       "      <td>0.043854</td>\n",
       "      <td>0.048279</td>\n",
       "      <td>0.037153</td>\n",
       "      <td>0.037153</td>\n",
       "      <td>0.037153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Normal 12</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.103139</td>\n",
       "      <td>0.132344</td>\n",
       "      <td>0.164769</td>\n",
       "      <td>0.191560</td>\n",
       "      <td>0.201219</td>\n",
       "      <td>0.201104</td>\n",
       "      <td>0.199092</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007474</td>\n",
       "      <td>0.017707</td>\n",
       "      <td>0.014315</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006669</td>\n",
       "      <td>0.017707</td>\n",
       "      <td>0.016902</td>\n",
       "      <td>0.015063</td>\n",
       "      <td>0.028286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Normal 13</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.438904</td>\n",
       "      <td>0.427558</td>\n",
       "      <td>0.415615</td>\n",
       "      <td>0.396656</td>\n",
       "      <td>0.356722</td>\n",
       "      <td>0.304695</td>\n",
       "      <td>0.251026</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006942</td>\n",
       "      <td>0.002687</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010226</td>\n",
       "      <td>0.028290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Normal 14</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.548763</td>\n",
       "      <td>0.572643</td>\n",
       "      <td>0.603401</td>\n",
       "      <td>0.632343</td>\n",
       "      <td>0.656128</td>\n",
       "      <td>0.676664</td>\n",
       "      <td>0.695864</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009456</td>\n",
       "      <td>0.020823</td>\n",
       "      <td>0.026841</td>\n",
       "      <td>0.019200</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Normal 15</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.552299</td>\n",
       "      <td>0.503371</td>\n",
       "      <td>0.455394</td>\n",
       "      <td>0.417445</td>\n",
       "      <td>0.409146</td>\n",
       "      <td>0.417704</td>\n",
       "      <td>0.428596</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007261</td>\n",
       "      <td>0.007434</td>\n",
       "      <td>0.010979</td>\n",
       "      <td>0.014436</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Normal 16</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.224602</td>\n",
       "      <td>0.202542</td>\n",
       "      <td>0.180481</td>\n",
       "      <td>0.162847</td>\n",
       "      <td>0.158064</td>\n",
       "      <td>0.160491</td>\n",
       "      <td>0.164204</td>\n",
       "      <td>...</td>\n",
       "      <td>0.017705</td>\n",
       "      <td>0.039552</td>\n",
       "      <td>0.032198</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004783</td>\n",
       "      <td>0.023417</td>\n",
       "      <td>0.040266</td>\n",
       "      <td>0.064396</td>\n",
       "      <td>0.080174</td>\n",
       "      <td>0.065396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Normal 18</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.213682</td>\n",
       "      <td>0.202406</td>\n",
       "      <td>0.191881</td>\n",
       "      <td>0.185679</td>\n",
       "      <td>0.191631</td>\n",
       "      <td>0.204598</td>\n",
       "      <td>0.218443</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011840</td>\n",
       "      <td>0.020422</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001566</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Normal 19</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.151111</td>\n",
       "      <td>0.155801</td>\n",
       "      <td>0.161472</td>\n",
       "      <td>0.163177</td>\n",
       "      <td>0.153371</td>\n",
       "      <td>0.136955</td>\n",
       "      <td>0.119601</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006012</td>\n",
       "      <td>0.005927</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000853</td>\n",
       "      <td>0.002473</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Normal 20</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.181722</td>\n",
       "      <td>0.145919</td>\n",
       "      <td>0.108969</td>\n",
       "      <td>0.082576</td>\n",
       "      <td>0.087441</td>\n",
       "      <td>0.110117</td>\n",
       "      <td>0.135729</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011200</td>\n",
       "      <td>0.015928</td>\n",
       "      <td>0.005738</td>\n",
       "      <td>0.002157</td>\n",
       "      <td>0.006472</td>\n",
       "      <td>0.015423</td>\n",
       "      <td>0.014642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Normal 21</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.200659</td>\n",
       "      <td>0.215214</td>\n",
       "      <td>0.231509</td>\n",
       "      <td>0.238100</td>\n",
       "      <td>0.214756</td>\n",
       "      <td>0.174387</td>\n",
       "      <td>0.131454</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011443</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.005767</td>\n",
       "      <td>0.003753</td>\n",
       "      <td>0.018949</td>\n",
       "      <td>0.034420</td>\n",
       "      <td>0.054650</td>\n",
       "      <td>0.067649</td>\n",
       "      <td>0.066276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Normal 22</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.341059</td>\n",
       "      <td>0.329256</td>\n",
       "      <td>0.316667</td>\n",
       "      <td>0.305722</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.297067</td>\n",
       "      <td>0.294492</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009299</td>\n",
       "      <td>0.009013</td>\n",
       "      <td>0.022318</td>\n",
       "      <td>0.034263</td>\n",
       "      <td>0.020315</td>\n",
       "      <td>0.017668</td>\n",
       "      <td>0.020672</td>\n",
       "      <td>0.027539</td>\n",
       "      <td>0.027539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Normal 23</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.238512</td>\n",
       "      <td>0.227462</td>\n",
       "      <td>0.215536</td>\n",
       "      <td>0.200328</td>\n",
       "      <td>0.176368</td>\n",
       "      <td>0.147046</td>\n",
       "      <td>0.117177</td>\n",
       "      <td>...</td>\n",
       "      <td>0.033807</td>\n",
       "      <td>0.077133</td>\n",
       "      <td>0.103611</td>\n",
       "      <td>0.119365</td>\n",
       "      <td>0.127571</td>\n",
       "      <td>0.127243</td>\n",
       "      <td>0.120678</td>\n",
       "      <td>0.080416</td>\n",
       "      <td>0.032166</td>\n",
       "      <td>0.010722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Normal 24</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.338527</td>\n",
       "      <td>0.357951</td>\n",
       "      <td>0.382782</td>\n",
       "      <td>0.407542</td>\n",
       "      <td>0.431732</td>\n",
       "      <td>0.455567</td>\n",
       "      <td>0.478549</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000783</td>\n",
       "      <td>0.008396</td>\n",
       "      <td>0.011953</td>\n",
       "      <td>0.006403</td>\n",
       "      <td>0.017147</td>\n",
       "      <td>0.018214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Normal 25</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.324303</td>\n",
       "      <td>0.314882</td>\n",
       "      <td>0.307493</td>\n",
       "      <td>0.297272</td>\n",
       "      <td>0.278801</td>\n",
       "      <td>0.255649</td>\n",
       "      <td>0.231513</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.004618</td>\n",
       "      <td>0.006896</td>\n",
       "      <td>0.028262</td>\n",
       "      <td>0.054923</td>\n",
       "      <td>0.047472</td>\n",
       "      <td>0.037744</td>\n",
       "      <td>0.014962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Normal 26</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.334608</td>\n",
       "      <td>0.322294</td>\n",
       "      <td>0.309851</td>\n",
       "      <td>0.300713</td>\n",
       "      <td>0.301426</td>\n",
       "      <td>0.307712</td>\n",
       "      <td>0.314776</td>\n",
       "      <td>...</td>\n",
       "      <td>0.022035</td>\n",
       "      <td>0.004861</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.025081</td>\n",
       "      <td>0.033377</td>\n",
       "      <td>0.019961</td>\n",
       "      <td>0.014064</td>\n",
       "      <td>0.006935</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Normal 27</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.109257</td>\n",
       "      <td>0.098867</td>\n",
       "      <td>0.088989</td>\n",
       "      <td>0.077152</td>\n",
       "      <td>0.059610</td>\n",
       "      <td>0.038576</td>\n",
       "      <td>0.017287</td>\n",
       "      <td>...</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.071447</td>\n",
       "      <td>0.089585</td>\n",
       "      <td>0.074172</td>\n",
       "      <td>0.049732</td>\n",
       "      <td>0.049732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Normal 28.1</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.946606</td>\n",
       "      <td>0.963298</td>\n",
       "      <td>0.981188</td>\n",
       "      <td>0.995758</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.998709</td>\n",
       "      <td>0.995574</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010605</td>\n",
       "      <td>0.021855</td>\n",
       "      <td>0.038731</td>\n",
       "      <td>0.031538</td>\n",
       "      <td>0.024899</td>\n",
       "      <td>0.011988</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Normal 29</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.168156</td>\n",
       "      <td>0.166941</td>\n",
       "      <td>0.165060</td>\n",
       "      <td>0.163179</td>\n",
       "      <td>0.161494</td>\n",
       "      <td>0.159887</td>\n",
       "      <td>0.158398</td>\n",
       "      <td>...</td>\n",
       "      <td>0.025080</td>\n",
       "      <td>0.026883</td>\n",
       "      <td>0.022690</td>\n",
       "      <td>0.013833</td>\n",
       "      <td>0.011208</td>\n",
       "      <td>0.013246</td>\n",
       "      <td>0.010111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Normal 30.1</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.989354</td>\n",
       "      <td>0.977422</td>\n",
       "      <td>0.964919</td>\n",
       "      <td>0.950414</td>\n",
       "      <td>0.934910</td>\n",
       "      <td>0.919048</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007645</td>\n",
       "      <td>0.022364</td>\n",
       "      <td>0.026007</td>\n",
       "      <td>0.029580</td>\n",
       "      <td>0.020077</td>\n",
       "      <td>0.016147</td>\n",
       "      <td>0.015719</td>\n",
       "      <td>0.033867</td>\n",
       "      <td>0.048300</td>\n",
       "      <td>0.038797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Normal 31.1</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.266585</td>\n",
       "      <td>0.211669</td>\n",
       "      <td>0.159723</td>\n",
       "      <td>0.125981</td>\n",
       "      <td>0.145860</td>\n",
       "      <td>0.196283</td>\n",
       "      <td>0.250971</td>\n",
       "      <td>...</td>\n",
       "      <td>0.028106</td>\n",
       "      <td>0.041435</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.047452</td>\n",
       "      <td>0.053546</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.023231</td>\n",
       "      <td>0.037474</td>\n",
       "      <td>0.046005</td>\n",
       "      <td>0.023231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Normal 17</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.372483</td>\n",
       "      <td>0.382587</td>\n",
       "      <td>0.396345</td>\n",
       "      <td>0.401863</td>\n",
       "      <td>0.383089</td>\n",
       "      <td>0.350340</td>\n",
       "      <td>0.314798</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009746</td>\n",
       "      <td>0.014188</td>\n",
       "      <td>0.015335</td>\n",
       "      <td>0.007166</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.006808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Normal 32</td>\n",
       "      <td>Sample</td>\n",
       "      <td>N</td>\n",
       "      <td>0.113065</td>\n",
       "      <td>0.139194</td>\n",
       "      <td>0.171917</td>\n",
       "      <td>0.194139</td>\n",
       "      <td>0.183516</td>\n",
       "      <td>0.154579</td>\n",
       "      <td>0.122466</td>\n",
       "      <td>...</td>\n",
       "      <td>0.031746</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020879</td>\n",
       "      <td>0.077412</td>\n",
       "      <td>0.083761</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010256</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>79 rows × 1704 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "wavenumber     SampleID SampleType Class  450 cm-1  451 cm-1  452 cm-1  \\\n",
       "Idx                                                                      \n",
       "1                 Pro 2     Sample     P  0.127357  0.135103  0.142450   \n",
       "2                 Pro 3     Sample     P  0.123484  0.110175  0.096220   \n",
       "3                 Pro 4     Sample     P  0.164392  0.181693  0.200372   \n",
       "4                 Pro 5     Sample     P  0.242727  0.237231  0.231457   \n",
       "5                 Pro 6     Sample     P  0.160014  0.153166  0.146270   \n",
       "6                Pro 11     Sample     P  0.086731  0.084183  0.081684   \n",
       "7                Pro 12     Sample     P  0.232703  0.235981  0.240122   \n",
       "8                Pro 24     Sample     P  0.143805  0.141639  0.139270   \n",
       "9                Pro 25     Sample     P  0.142210  0.143342  0.145355   \n",
       "10               Pro 26     Sample     P  0.273459  0.244398  0.214169   \n",
       "11               Pro 27     Sample     P  0.205269  0.200024  0.196090   \n",
       "12               Pro 28     Sample     P  0.051355  0.062996  0.075667   \n",
       "13               Pro 32     Sample     P  0.331366  0.318308  0.307486   \n",
       "14               Pro 33     Sample     P  0.155496  0.198078  0.244889   \n",
       "15               Pro 34     Sample     P  0.174028  0.171174  0.168169   \n",
       "16               Pro 35     Sample     P  0.384564  0.350081  0.313971   \n",
       "17               Pro 36     Sample     P  0.225720  0.214225  0.202795   \n",
       "18               Pro 39     Sample     P  0.187881  0.215389  0.244648   \n",
       "19               Pro 40     Sample     P  0.064039  0.052289  0.040645   \n",
       "20               Pro 19     Sample     P  0.406677  0.386699  0.365654   \n",
       "21               Pro 20     Sample     P  0.079687  0.084069  0.088484   \n",
       "22               Pro 21     Sample     P  0.045904  0.045254  0.044605   \n",
       "23               Pro 22     Sample     P  0.031146  0.020862  0.009924   \n",
       "24               Pro 23     Sample     P  0.141150  0.142146  0.143547   \n",
       "25               Pro 29     Sample     P  0.059461  0.064927  0.070489   \n",
       "26               Pro 30     Sample     P  0.290709  0.265374  0.239130   \n",
       "27               Pro 31     Sample     P  0.165571  0.128733  0.090790   \n",
       "28               Pro 37     Sample     P  0.192468  0.184294  0.176965   \n",
       "29               Pro 38     Sample     P  0.082727  0.083119  0.082858   \n",
       "30                Pro 1     Sample     P  0.180037  0.178676  0.177358   \n",
       "..                  ...        ...   ...       ...       ...       ...   \n",
       "50             Normal 3     Sample     N  0.457526  0.435753  0.412735   \n",
       "51             Normal 4     Sample     N  0.108456  0.100492  0.093349   \n",
       "52             Normal 5     Sample     N  0.093558  0.089944  0.087802   \n",
       "53             Normal 6     Sample     N  0.614847  0.633889  0.653354   \n",
       "54             Normal 7     Sample     N  0.203566  0.208156  0.213944   \n",
       "55             Normal 8     Sample     N  0.213544  0.211803  0.210485   \n",
       "56             Normal 9     Sample     N  0.755460  0.766124  0.782517   \n",
       "57            Normal 10     Sample     N  0.311826  0.318300  0.326859   \n",
       "58            Normal 11     Sample     N  0.245885  0.238597  0.232741   \n",
       "59            Normal 12     Sample     N  0.103139  0.132344  0.164769   \n",
       "60            Normal 13     Sample     N  0.438904  0.427558  0.415615   \n",
       "61            Normal 14     Sample     N  0.548763  0.572643  0.603401   \n",
       "62            Normal 15     Sample     N  0.552299  0.503371  0.455394   \n",
       "63            Normal 16     Sample     N  0.224602  0.202542  0.180481   \n",
       "64            Normal 18     Sample     N  0.213682  0.202406  0.191881   \n",
       "65            Normal 19     Sample     N  0.151111  0.155801  0.161472   \n",
       "66            Normal 20     Sample     N  0.181722  0.145919  0.108969   \n",
       "67            Normal 21     Sample     N  0.200659  0.215214  0.231509   \n",
       "68            Normal 22     Sample     N  0.341059  0.329256  0.316667   \n",
       "69            Normal 23     Sample     N  0.238512  0.227462  0.215536   \n",
       "70            Normal 24     Sample     N  0.338527  0.357951  0.382782   \n",
       "71            Normal 25     Sample     N  0.324303  0.314882  0.307493   \n",
       "72            Normal 26     Sample     N  0.334608  0.322294  0.309851   \n",
       "73            Normal 27     Sample     N  0.109257  0.098867  0.088989   \n",
       "74          Normal 28.1     Sample     N  0.946606  0.963298  0.981188   \n",
       "75            Normal 29     Sample     N  0.168156  0.166941  0.165060   \n",
       "76          Normal 30.1     Sample     N  1.000000  0.989354  0.977422   \n",
       "77          Normal 31.1     Sample     N  0.266585  0.211669  0.159723   \n",
       "78            Normal 17     Sample     N  0.372483  0.382587  0.396345   \n",
       "79            Normal 32     Sample     N  0.113065  0.139194  0.171917   \n",
       "\n",
       "wavenumber  453 cm-1  454 cm-1  455 cm-1  456 cm-1  ...  2141 cm-1  2142 cm-1  \\\n",
       "Idx                                                 ...                         \n",
       "1           0.149741  0.156633  0.163411  0.169619  ...   0.000000   0.000000   \n",
       "2           0.083677  0.075609  0.070133  0.065128  ...   0.038276   0.034507   \n",
       "3           0.211607  0.200648  0.177006  0.151089  ...   0.002206   0.006824   \n",
       "4           0.228348  0.232789  0.241561  0.250833  ...   0.000500   0.003498   \n",
       "5           0.143114  0.151418  0.166084  0.181721  ...   0.000000   0.000000   \n",
       "6           0.080606  0.083889  0.089720  0.095796  ...   0.003822   0.006370   \n",
       "7           0.243803  0.246103  0.247369  0.248519  ...   0.004486   0.004486   \n",
       "8           0.133383  0.117412  0.095351  0.072545  ...   0.000000   0.000000   \n",
       "9           0.151959  0.171835  0.199384  0.227499  ...   0.019624   0.026920   \n",
       "10          0.188375  0.176296  0.171802  0.168709  ...   0.004727   0.014414   \n",
       "11          0.191024  0.182084  0.170819  0.159197  ...   0.005424   0.000000   \n",
       "12          0.084681  0.082260  0.073504  0.063408  ...   0.029103   0.035129   \n",
       "13          0.296753  0.286468  0.276362  0.266255  ...   0.011895   0.026921   \n",
       "14          0.279708  0.278862  0.257648  0.232898  ...   0.013297   0.033666   \n",
       "15          0.164363  0.158203  0.150691  0.142979  ...   0.017027   0.016877   \n",
       "16          0.287406  0.289478  0.307977  0.328844  ...   0.000000   0.000000   \n",
       "17          0.195742  0.201424  0.214421  0.228463  ...   0.000000   0.010319   \n",
       "18          0.263851  0.253017  0.224861  0.194044  ...   0.013689   0.000000   \n",
       "19          0.036159  0.052663  0.081237  0.111414  ...   0.011910   0.030337   \n",
       "20          0.348251  0.341325  0.340526  0.340082  ...   0.011898   0.020156   \n",
       "21          0.092221  0.093704  0.093865  0.093800  ...   0.021525   0.012309   \n",
       "22          0.044746  0.047343  0.051324  0.055418  ...   0.009119   0.018265   \n",
       "23          0.003294  0.008763  0.021475  0.035284  ...   0.000000   0.000000   \n",
       "24          0.144838  0.145650  0.146092  0.146424  ...   0.000000   0.000000   \n",
       "25          0.072682  0.064959  0.051548  0.037342  ...   0.000000   0.000000   \n",
       "26          0.217019  0.207762  0.205695  0.204910  ...   0.003968   0.011366   \n",
       "27          0.063538  0.067854  0.090188  0.115533  ...   0.000000   0.000000   \n",
       "28          0.172229  0.174935  0.181813  0.188973  ...   0.005468   0.024467   \n",
       "29          0.081879  0.078845  0.074637  0.070168  ...   0.010243   0.009558   \n",
       "30          0.177571  0.182120  0.189304  0.196531  ...   0.000000   0.000000   \n",
       "..               ...       ...       ...       ...  ...        ...        ...   \n",
       "50          0.396642  0.400678  0.416222  0.433561  ...   0.000000   0.000000   \n",
       "51          0.087412  0.084854  0.084275  0.084130  ...   0.003765   0.007964   \n",
       "52          0.086464  0.087133  0.089007  0.091059  ...   0.002008   0.005755   \n",
       "53          0.661358  0.635238  0.589737  0.540698  ...   0.024688   0.004297   \n",
       "54          0.216006  0.206559  0.190593  0.173497  ...   0.037187   0.035325   \n",
       "55          0.209483  0.209061  0.208955  0.208428  ...   0.026475   0.025948   \n",
       "56          0.805321  0.846616  0.898576  0.950876  ...   0.000000   0.000000   \n",
       "57          0.330654  0.320682  0.302523  0.283099  ...   0.017340   0.050086   \n",
       "58          0.230659  0.239703  0.255059  0.270805  ...   0.048214   0.037153   \n",
       "59          0.191560  0.201219  0.201104  0.199092  ...   0.007474   0.017707   \n",
       "60          0.396656  0.356722  0.304695  0.251026  ...   0.000000   0.000000   \n",
       "61          0.632343  0.656128  0.676664  0.695864  ...   0.000000   0.000000   \n",
       "62          0.417445  0.409146  0.417704  0.428596  ...   0.000000   0.007261   \n",
       "63          0.162847  0.158064  0.160491  0.164204  ...   0.017705   0.039552   \n",
       "64          0.185679  0.191631  0.204598  0.218443  ...   0.000000   0.000000   \n",
       "65          0.163177  0.153371  0.136955  0.119601  ...   0.000000   0.006012   \n",
       "66          0.082576  0.087441  0.110117  0.135729  ...   0.000000   0.000000   \n",
       "67          0.238100  0.214756  0.174387  0.131454  ...   0.011443   0.000000   \n",
       "68          0.305722  0.300000  0.297067  0.294492  ...   0.000000   0.009299   \n",
       "69          0.200328  0.176368  0.147046  0.117177  ...   0.033807   0.077133   \n",
       "70          0.407542  0.431732  0.455567  0.478549  ...   0.000000   0.000000   \n",
       "71          0.297272  0.278801  0.255649  0.231513  ...   0.000000   0.000000   \n",
       "72          0.300713  0.301426  0.307712  0.314776  ...   0.022035   0.004861   \n",
       "73          0.077152  0.059610  0.038576  0.017287  ...   0.049732   0.049732   \n",
       "74          0.995758  1.000000  0.998709  0.995574  ...   0.000000   0.010605   \n",
       "75          0.163179  0.161494  0.159887  0.158398  ...   0.025080   0.026883   \n",
       "76          0.964919  0.950414  0.934910  0.919048  ...   0.007645   0.022364   \n",
       "77          0.125981  0.145860  0.196283  0.250971  ...   0.028106   0.041435   \n",
       "78          0.401863  0.383089  0.350340  0.314798  ...   0.000000   0.009746   \n",
       "79          0.194139  0.183516  0.154579  0.122466  ...   0.031746   0.000000   \n",
       "\n",
       "wavenumber  2143 cm-1  2144 cm-1  2145 cm-1  2146 cm-1  2147 cm-1  2148 cm-1  \\\n",
       "Idx                                                                            \n",
       "1            0.002563   0.023523   0.029447   0.009056   0.000000   0.007632   \n",
       "2            0.027146   0.016311   0.000000   0.006595   0.009481   0.000000   \n",
       "3            0.000000   0.000000   0.000000   0.005652   0.008823   0.012062   \n",
       "4            0.000000   0.003054   0.001055   0.000000   0.000000   0.005385   \n",
       "5            0.000000   0.000000   0.000000   0.000728   0.005002   0.007236   \n",
       "6            0.000000   0.000000   0.000000   0.006811   0.014259   0.017101   \n",
       "7            0.000000   0.007822   0.009432   0.000000   0.000000   0.005464   \n",
       "8            0.003993   0.014617   0.017663   0.014685   0.021182   0.019219   \n",
       "9            0.019624   0.019624   0.019624   0.019624   0.021574   0.022643   \n",
       "10           0.012080   0.000000   0.000000   0.000000   0.001342   0.000700   \n",
       "11           0.000000   0.000000   0.003338   0.013172   0.016987   0.000000   \n",
       "12           0.030493   0.026682   0.026682   0.026682   0.028124   0.029360   \n",
       "13           0.022180   0.015741   0.023611   0.014668   0.000000   0.000000   \n",
       "14           0.028670   0.002613   0.003920   0.000000   0.000000   0.000000   \n",
       "15           0.012570   0.000000   0.000000   0.000000   0.000000   0.004207   \n",
       "16           0.000000   0.000518   0.006364   0.015169   0.017241   0.000000   \n",
       "17           0.005029   0.006662   0.000000   0.003788   0.012867   0.023513   \n",
       "18           0.000000   0.000000   0.004022   0.024329   0.037758   0.031984   \n",
       "19           0.029376   0.013673   0.013940   0.040165   0.058644   0.030017   \n",
       "20           0.000000   0.000000   0.002664   0.038714   0.060646   0.017936   \n",
       "21           0.008378   0.007508   0.014565   0.017207   0.016144   0.009183   \n",
       "22           0.022811   0.028372   0.027751   0.017503   0.004573   0.000000   \n",
       "23           0.000000   0.000000   0.000000   0.005743   0.011677   0.011381   \n",
       "24           0.001402   0.003836   0.003946   0.012503   0.027514   0.030354   \n",
       "25           0.000000   0.006547   0.014587   0.022024   0.026219   0.024089   \n",
       "26           0.009588   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "27           0.000000   0.002309   0.005521   0.012698   0.016311   0.006173   \n",
       "28           0.029992   0.035630   0.027117   0.000000   0.000000   0.004115   \n",
       "29           0.009558   0.017289   0.023226   0.024662   0.021106   0.014843   \n",
       "30           0.000000   0.000000   0.002933   0.013689   0.020618   0.011563   \n",
       "..                ...        ...        ...        ...        ...        ...   \n",
       "50           0.000000   0.004434   0.005779   0.000000   0.000000   0.003239   \n",
       "51           0.007192   0.007144   0.014239   0.030939   0.043971   0.039386   \n",
       "52           0.007451   0.006157   0.000000   0.000000   0.000000   0.000758   \n",
       "53           0.000000   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "54           0.015700   0.000000   0.000000   0.000000   0.000000   0.004524   \n",
       "55           0.022625   0.005907   0.005907   0.009546   0.012763   0.005907   \n",
       "56           0.009586   0.021045   0.020137   0.000000   0.000000   0.000000   \n",
       "57           0.048299   0.018233   0.000000   0.027313   0.065491   0.082831   \n",
       "58           0.037153   0.037153   0.037153   0.043854   0.048279   0.037153   \n",
       "59           0.014315   0.000000   0.000000   0.006669   0.017707   0.016902   \n",
       "60           0.000000   0.006942   0.002687   0.000000   0.000000   0.000000   \n",
       "61           0.000000   0.000000   0.000000   0.009456   0.020823   0.026841   \n",
       "62           0.007434   0.010979   0.014436   0.000000   0.000000   0.000000   \n",
       "63           0.032198   0.000000   0.004783   0.023417   0.040266   0.064396   \n",
       "64           0.000000   0.000000   0.000000   0.011840   0.020422   0.000000   \n",
       "65           0.005927   0.000000   0.000000   0.000853   0.002473   0.000000   \n",
       "66           0.000000   0.011200   0.015928   0.005738   0.002157   0.006472   \n",
       "67           0.000000   0.005767   0.003753   0.018949   0.034420   0.054650   \n",
       "68           0.009013   0.022318   0.034263   0.020315   0.017668   0.020672   \n",
       "69           0.103611   0.119365   0.127571   0.127243   0.120678   0.080416   \n",
       "70           0.000000   0.000000   0.000783   0.008396   0.011953   0.006403   \n",
       "71           0.000000   0.004618   0.006896   0.028262   0.054923   0.047472   \n",
       "72           0.000000   0.025081   0.033377   0.019961   0.014064   0.006935   \n",
       "73           0.049732   0.049732   0.049732   0.071447   0.089585   0.074172   \n",
       "74           0.021855   0.038731   0.031538   0.024899   0.011988   0.000000   \n",
       "75           0.022690   0.013833   0.011208   0.013246   0.010111   0.000000   \n",
       "76           0.026007   0.029580   0.020077   0.016147   0.015719   0.033867   \n",
       "77           0.023231   0.047452   0.053546   0.023231   0.023231   0.037474   \n",
       "78           0.014188   0.015335   0.007166   0.000000   0.000000   0.000000   \n",
       "79           0.020879   0.077412   0.083761   0.000000   0.000000   0.000000   \n",
       "\n",
       "wavenumber  2149 cm-1  2150 cm-1  \n",
       "Idx                               \n",
       "1            0.018454   0.019536  \n",
       "2            0.000000   0.009716  \n",
       "3            0.025986   0.028122  \n",
       "4            0.008272   0.000000  \n",
       "5            0.008304   0.008304  \n",
       "6            0.024990   0.018914  \n",
       "7            0.012078   0.018577  \n",
       "8            0.013264   0.009203  \n",
       "9            0.019624   0.019624  \n",
       "10           0.005486   0.008345  \n",
       "11           0.000000   0.000000  \n",
       "12           0.033996   0.042495  \n",
       "13           0.002951   0.000000  \n",
       "14           0.000231   0.003689  \n",
       "15           0.006711   0.006510  \n",
       "16           0.000000   0.000000  \n",
       "17           0.025537   0.000000  \n",
       "18           0.048981   0.058972  \n",
       "19           0.000000   0.001442  \n",
       "20           0.000000   0.000000  \n",
       "21           0.001418   0.005575  \n",
       "22           0.000000   0.000000  \n",
       "23           0.011044   0.008531  \n",
       "24           0.026998   0.018404  \n",
       "25           0.017892   0.008263  \n",
       "26           0.000000   0.006571  \n",
       "27           0.000000   0.000000  \n",
       "28           0.019957   0.022381  \n",
       "29           0.017583   0.015919  \n",
       "30           0.000000   0.003443  \n",
       "..                ...        ...  \n",
       "50           0.009865   0.013402  \n",
       "51           0.026306   0.006950  \n",
       "52           0.000000   0.002722  \n",
       "53           0.004044   0.000000  \n",
       "54           0.007251   0.007251  \n",
       "55           0.014029   0.025895  \n",
       "56           0.007034   0.012423  \n",
       "57           0.078515   0.048895  \n",
       "58           0.037153   0.037153  \n",
       "59           0.015063   0.028286  \n",
       "60           0.010226   0.028290  \n",
       "61           0.019200   0.000000  \n",
       "62           0.000000   0.000000  \n",
       "63           0.080174   0.065396  \n",
       "64           0.001566   0.000000  \n",
       "65           0.000000   0.005245  \n",
       "66           0.015423   0.014642  \n",
       "67           0.067649   0.066276  \n",
       "68           0.027539   0.027539  \n",
       "69           0.032166   0.010722  \n",
       "70           0.017147   0.018214  \n",
       "71           0.037744   0.014962  \n",
       "72           0.000000   0.000000  \n",
       "73           0.049732   0.049732  \n",
       "74           0.000000   0.000000  \n",
       "75           0.000000   0.006819  \n",
       "76           0.048300   0.038797  \n",
       "77           0.046005   0.023231  \n",
       "78           0.000000   0.006808  \n",
       "79           0.000000   0.010256  \n",
       "\n",
       "[79 rows x 1704 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['450 cm-1', '451 cm-1', '452 cm-1', '453 cm-1', '454 cm-1', '455 cm-1',\n",
       "       '456 cm-1', '457 cm-1', '458 cm-1', '459 cm-1',\n",
       "       ...\n",
       "       '2141 cm-1', '2142 cm-1', '2143 cm-1', '2144 cm-1', '2145 cm-1',\n",
       "       '2146 cm-1', '2147 cm-1', '2148 cm-1', '2149 cm-1', '2150 cm-1'],\n",
       "      dtype='object', name='wavenumber', length=1701)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wavenumber = df.columns[3:]\n",
    "wavenumber"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_peak = pd.DataFrame()\n",
    "df_peak['Name'] = wavenumber\n",
    "df_peak['Label'] = wavenumber\n",
    "df_peak['Perc_missing'] = 0.\n",
    "df_peak['QC_RSD'] = 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>Name</th>\n",
       "      <th>Label</th>\n",
       "      <th>Perc_missing</th>\n",
       "      <th>QC_RSD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>450 cm-1</td>\n",
       "      <td>450 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>451 cm-1</td>\n",
       "      <td>451 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>452 cm-1</td>\n",
       "      <td>452 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>453 cm-1</td>\n",
       "      <td>453 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>454 cm-1</td>\n",
       "      <td>454 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>455 cm-1</td>\n",
       "      <td>455 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>456 cm-1</td>\n",
       "      <td>456 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>457 cm-1</td>\n",
       "      <td>457 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>458 cm-1</td>\n",
       "      <td>458 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>459 cm-1</td>\n",
       "      <td>459 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>460 cm-1</td>\n",
       "      <td>460 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>461 cm-1</td>\n",
       "      <td>461 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>462 cm-1</td>\n",
       "      <td>462 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>463 cm-1</td>\n",
       "      <td>463 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>464 cm-1</td>\n",
       "      <td>464 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>465 cm-1</td>\n",
       "      <td>465 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>466 cm-1</td>\n",
       "      <td>466 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>467 cm-1</td>\n",
       "      <td>467 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>468 cm-1</td>\n",
       "      <td>468 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>469 cm-1</td>\n",
       "      <td>469 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>470 cm-1</td>\n",
       "      <td>470 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>471 cm-1</td>\n",
       "      <td>471 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>472 cm-1</td>\n",
       "      <td>472 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>473 cm-1</td>\n",
       "      <td>473 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>474 cm-1</td>\n",
       "      <td>474 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>475 cm-1</td>\n",
       "      <td>475 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>476 cm-1</td>\n",
       "      <td>476 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>477 cm-1</td>\n",
       "      <td>477 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>478 cm-1</td>\n",
       "      <td>478 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>479 cm-1</td>\n",
       "      <td>479 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1672</th>\n",
       "      <td>2121 cm-1</td>\n",
       "      <td>2121 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1673</th>\n",
       "      <td>2122 cm-1</td>\n",
       "      <td>2122 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1674</th>\n",
       "      <td>2123 cm-1</td>\n",
       "      <td>2123 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1675</th>\n",
       "      <td>2124 cm-1</td>\n",
       "      <td>2124 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1676</th>\n",
       "      <td>2125 cm-1</td>\n",
       "      <td>2125 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1677</th>\n",
       "      <td>2126 cm-1</td>\n",
       "      <td>2126 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1678</th>\n",
       "      <td>2127 cm-1</td>\n",
       "      <td>2127 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1679</th>\n",
       "      <td>2128 cm-1</td>\n",
       "      <td>2128 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1680</th>\n",
       "      <td>2129 cm-1</td>\n",
       "      <td>2129 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1681</th>\n",
       "      <td>2130 cm-1</td>\n",
       "      <td>2130 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1682</th>\n",
       "      <td>2131 cm-1</td>\n",
       "      <td>2131 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1683</th>\n",
       "      <td>2132 cm-1</td>\n",
       "      <td>2132 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1684</th>\n",
       "      <td>2133 cm-1</td>\n",
       "      <td>2133 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1685</th>\n",
       "      <td>2134 cm-1</td>\n",
       "      <td>2134 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1686</th>\n",
       "      <td>2135 cm-1</td>\n",
       "      <td>2135 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1687</th>\n",
       "      <td>2136 cm-1</td>\n",
       "      <td>2136 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1688</th>\n",
       "      <td>2137 cm-1</td>\n",
       "      <td>2137 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1689</th>\n",
       "      <td>2138 cm-1</td>\n",
       "      <td>2138 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1690</th>\n",
       "      <td>2139 cm-1</td>\n",
       "      <td>2139 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1691</th>\n",
       "      <td>2140 cm-1</td>\n",
       "      <td>2140 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1692</th>\n",
       "      <td>2141 cm-1</td>\n",
       "      <td>2141 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1693</th>\n",
       "      <td>2142 cm-1</td>\n",
       "      <td>2142 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1694</th>\n",
       "      <td>2143 cm-1</td>\n",
       "      <td>2143 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1695</th>\n",
       "      <td>2144 cm-1</td>\n",
       "      <td>2144 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1696</th>\n",
       "      <td>2145 cm-1</td>\n",
       "      <td>2145 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1697</th>\n",
       "      <td>2146 cm-1</td>\n",
       "      <td>2146 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1698</th>\n",
       "      <td>2147 cm-1</td>\n",
       "      <td>2147 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1699</th>\n",
       "      <td>2148 cm-1</td>\n",
       "      <td>2148 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1700</th>\n",
       "      <td>2149 cm-1</td>\n",
       "      <td>2149 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1701</th>\n",
       "      <td>2150 cm-1</td>\n",
       "      <td>2150 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1701 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Name      Label  Perc_missing  QC_RSD\n",
       "1      450 cm-1   450 cm-1           0.0     0.0\n",
       "2      451 cm-1   451 cm-1           0.0     0.0\n",
       "3      452 cm-1   452 cm-1           0.0     0.0\n",
       "4      453 cm-1   453 cm-1           0.0     0.0\n",
       "5      454 cm-1   454 cm-1           0.0     0.0\n",
       "6      455 cm-1   455 cm-1           0.0     0.0\n",
       "7      456 cm-1   456 cm-1           0.0     0.0\n",
       "8      457 cm-1   457 cm-1           0.0     0.0\n",
       "9      458 cm-1   458 cm-1           0.0     0.0\n",
       "10     459 cm-1   459 cm-1           0.0     0.0\n",
       "11     460 cm-1   460 cm-1           0.0     0.0\n",
       "12     461 cm-1   461 cm-1           0.0     0.0\n",
       "13     462 cm-1   462 cm-1           0.0     0.0\n",
       "14     463 cm-1   463 cm-1           0.0     0.0\n",
       "15     464 cm-1   464 cm-1           0.0     0.0\n",
       "16     465 cm-1   465 cm-1           0.0     0.0\n",
       "17     466 cm-1   466 cm-1           0.0     0.0\n",
       "18     467 cm-1   467 cm-1           0.0     0.0\n",
       "19     468 cm-1   468 cm-1           0.0     0.0\n",
       "20     469 cm-1   469 cm-1           0.0     0.0\n",
       "21     470 cm-1   470 cm-1           0.0     0.0\n",
       "22     471 cm-1   471 cm-1           0.0     0.0\n",
       "23     472 cm-1   472 cm-1           0.0     0.0\n",
       "24     473 cm-1   473 cm-1           0.0     0.0\n",
       "25     474 cm-1   474 cm-1           0.0     0.0\n",
       "26     475 cm-1   475 cm-1           0.0     0.0\n",
       "27     476 cm-1   476 cm-1           0.0     0.0\n",
       "28     477 cm-1   477 cm-1           0.0     0.0\n",
       "29     478 cm-1   478 cm-1           0.0     0.0\n",
       "30     479 cm-1   479 cm-1           0.0     0.0\n",
       "...         ...        ...           ...     ...\n",
       "1672  2121 cm-1  2121 cm-1           0.0     0.0\n",
       "1673  2122 cm-1  2122 cm-1           0.0     0.0\n",
       "1674  2123 cm-1  2123 cm-1           0.0     0.0\n",
       "1675  2124 cm-1  2124 cm-1           0.0     0.0\n",
       "1676  2125 cm-1  2125 cm-1           0.0     0.0\n",
       "1677  2126 cm-1  2126 cm-1           0.0     0.0\n",
       "1678  2127 cm-1  2127 cm-1           0.0     0.0\n",
       "1679  2128 cm-1  2128 cm-1           0.0     0.0\n",
       "1680  2129 cm-1  2129 cm-1           0.0     0.0\n",
       "1681  2130 cm-1  2130 cm-1           0.0     0.0\n",
       "1682  2131 cm-1  2131 cm-1           0.0     0.0\n",
       "1683  2132 cm-1  2132 cm-1           0.0     0.0\n",
       "1684  2133 cm-1  2133 cm-1           0.0     0.0\n",
       "1685  2134 cm-1  2134 cm-1           0.0     0.0\n",
       "1686  2135 cm-1  2135 cm-1           0.0     0.0\n",
       "1687  2136 cm-1  2136 cm-1           0.0     0.0\n",
       "1688  2137 cm-1  2137 cm-1           0.0     0.0\n",
       "1689  2138 cm-1  2138 cm-1           0.0     0.0\n",
       "1690  2139 cm-1  2139 cm-1           0.0     0.0\n",
       "1691  2140 cm-1  2140 cm-1           0.0     0.0\n",
       "1692  2141 cm-1  2141 cm-1           0.0     0.0\n",
       "1693  2142 cm-1  2142 cm-1           0.0     0.0\n",
       "1694  2143 cm-1  2143 cm-1           0.0     0.0\n",
       "1695  2144 cm-1  2144 cm-1           0.0     0.0\n",
       "1696  2145 cm-1  2145 cm-1           0.0     0.0\n",
       "1697  2146 cm-1  2146 cm-1           0.0     0.0\n",
       "1698  2147 cm-1  2147 cm-1           0.0     0.0\n",
       "1699  2148 cm-1  2148 cm-1           0.0     0.0\n",
       "1700  2149 cm-1  2149 cm-1           0.0     0.0\n",
       "1701  2150 cm-1  2150 cm-1           0.0     0.0\n",
       "\n",
       "[1701 rows x 4 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_peak.index = df_peak.index + 1\n",
    "df_peak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>Name</th>\n",
       "      <th>Label</th>\n",
       "      <th>Perc_missing</th>\n",
       "      <th>QC_RSD</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idx</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>450 cm-1</td>\n",
       "      <td>450 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>451 cm-1</td>\n",
       "      <td>451 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>452 cm-1</td>\n",
       "      <td>452 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>453 cm-1</td>\n",
       "      <td>453 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>454 cm-1</td>\n",
       "      <td>454 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>455 cm-1</td>\n",
       "      <td>455 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>456 cm-1</td>\n",
       "      <td>456 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>457 cm-1</td>\n",
       "      <td>457 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>458 cm-1</td>\n",
       "      <td>458 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>459 cm-1</td>\n",
       "      <td>459 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>460 cm-1</td>\n",
       "      <td>460 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>461 cm-1</td>\n",
       "      <td>461 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>462 cm-1</td>\n",
       "      <td>462 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>463 cm-1</td>\n",
       "      <td>463 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>464 cm-1</td>\n",
       "      <td>464 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>465 cm-1</td>\n",
       "      <td>465 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>466 cm-1</td>\n",
       "      <td>466 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>467 cm-1</td>\n",
       "      <td>467 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>468 cm-1</td>\n",
       "      <td>468 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>469 cm-1</td>\n",
       "      <td>469 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>470 cm-1</td>\n",
       "      <td>470 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>471 cm-1</td>\n",
       "      <td>471 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>472 cm-1</td>\n",
       "      <td>472 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>473 cm-1</td>\n",
       "      <td>473 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>474 cm-1</td>\n",
       "      <td>474 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>475 cm-1</td>\n",
       "      <td>475 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>476 cm-1</td>\n",
       "      <td>476 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>477 cm-1</td>\n",
       "      <td>477 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>478 cm-1</td>\n",
       "      <td>478 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>479 cm-1</td>\n",
       "      <td>479 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1672</th>\n",
       "      <td>2121 cm-1</td>\n",
       "      <td>2121 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1673</th>\n",
       "      <td>2122 cm-1</td>\n",
       "      <td>2122 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1674</th>\n",
       "      <td>2123 cm-1</td>\n",
       "      <td>2123 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1675</th>\n",
       "      <td>2124 cm-1</td>\n",
       "      <td>2124 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1676</th>\n",
       "      <td>2125 cm-1</td>\n",
       "      <td>2125 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1677</th>\n",
       "      <td>2126 cm-1</td>\n",
       "      <td>2126 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1678</th>\n",
       "      <td>2127 cm-1</td>\n",
       "      <td>2127 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1679</th>\n",
       "      <td>2128 cm-1</td>\n",
       "      <td>2128 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1680</th>\n",
       "      <td>2129 cm-1</td>\n",
       "      <td>2129 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1681</th>\n",
       "      <td>2130 cm-1</td>\n",
       "      <td>2130 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1682</th>\n",
       "      <td>2131 cm-1</td>\n",
       "      <td>2131 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1683</th>\n",
       "      <td>2132 cm-1</td>\n",
       "      <td>2132 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1684</th>\n",
       "      <td>2133 cm-1</td>\n",
       "      <td>2133 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1685</th>\n",
       "      <td>2134 cm-1</td>\n",
       "      <td>2134 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1686</th>\n",
       "      <td>2135 cm-1</td>\n",
       "      <td>2135 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1687</th>\n",
       "      <td>2136 cm-1</td>\n",
       "      <td>2136 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1688</th>\n",
       "      <td>2137 cm-1</td>\n",
       "      <td>2137 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1689</th>\n",
       "      <td>2138 cm-1</td>\n",
       "      <td>2138 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1690</th>\n",
       "      <td>2139 cm-1</td>\n",
       "      <td>2139 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1691</th>\n",
       "      <td>2140 cm-1</td>\n",
       "      <td>2140 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1692</th>\n",
       "      <td>2141 cm-1</td>\n",
       "      <td>2141 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1693</th>\n",
       "      <td>2142 cm-1</td>\n",
       "      <td>2142 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1694</th>\n",
       "      <td>2143 cm-1</td>\n",
       "      <td>2143 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1695</th>\n",
       "      <td>2144 cm-1</td>\n",
       "      <td>2144 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1696</th>\n",
       "      <td>2145 cm-1</td>\n",
       "      <td>2145 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1697</th>\n",
       "      <td>2146 cm-1</td>\n",
       "      <td>2146 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1698</th>\n",
       "      <td>2147 cm-1</td>\n",
       "      <td>2147 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1699</th>\n",
       "      <td>2148 cm-1</td>\n",
       "      <td>2148 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1700</th>\n",
       "      <td>2149 cm-1</td>\n",
       "      <td>2149 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1701</th>\n",
       "      <td>2150 cm-1</td>\n",
       "      <td>2150 cm-1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1701 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Name      Label  Perc_missing  QC_RSD\n",
       "Idx                                             \n",
       "1      450 cm-1   450 cm-1           0.0     0.0\n",
       "2      451 cm-1   451 cm-1           0.0     0.0\n",
       "3      452 cm-1   452 cm-1           0.0     0.0\n",
       "4      453 cm-1   453 cm-1           0.0     0.0\n",
       "5      454 cm-1   454 cm-1           0.0     0.0\n",
       "6      455 cm-1   455 cm-1           0.0     0.0\n",
       "7      456 cm-1   456 cm-1           0.0     0.0\n",
       "8      457 cm-1   457 cm-1           0.0     0.0\n",
       "9      458 cm-1   458 cm-1           0.0     0.0\n",
       "10     459 cm-1   459 cm-1           0.0     0.0\n",
       "11     460 cm-1   460 cm-1           0.0     0.0\n",
       "12     461 cm-1   461 cm-1           0.0     0.0\n",
       "13     462 cm-1   462 cm-1           0.0     0.0\n",
       "14     463 cm-1   463 cm-1           0.0     0.0\n",
       "15     464 cm-1   464 cm-1           0.0     0.0\n",
       "16     465 cm-1   465 cm-1           0.0     0.0\n",
       "17     466 cm-1   466 cm-1           0.0     0.0\n",
       "18     467 cm-1   467 cm-1           0.0     0.0\n",
       "19     468 cm-1   468 cm-1           0.0     0.0\n",
       "20     469 cm-1   469 cm-1           0.0     0.0\n",
       "21     470 cm-1   470 cm-1           0.0     0.0\n",
       "22     471 cm-1   471 cm-1           0.0     0.0\n",
       "23     472 cm-1   472 cm-1           0.0     0.0\n",
       "24     473 cm-1   473 cm-1           0.0     0.0\n",
       "25     474 cm-1   474 cm-1           0.0     0.0\n",
       "26     475 cm-1   475 cm-1           0.0     0.0\n",
       "27     476 cm-1   476 cm-1           0.0     0.0\n",
       "28     477 cm-1   477 cm-1           0.0     0.0\n",
       "29     478 cm-1   478 cm-1           0.0     0.0\n",
       "30     479 cm-1   479 cm-1           0.0     0.0\n",
       "...         ...        ...           ...     ...\n",
       "1672  2121 cm-1  2121 cm-1           0.0     0.0\n",
       "1673  2122 cm-1  2122 cm-1           0.0     0.0\n",
       "1674  2123 cm-1  2123 cm-1           0.0     0.0\n",
       "1675  2124 cm-1  2124 cm-1           0.0     0.0\n",
       "1676  2125 cm-1  2125 cm-1           0.0     0.0\n",
       "1677  2126 cm-1  2126 cm-1           0.0     0.0\n",
       "1678  2127 cm-1  2127 cm-1           0.0     0.0\n",
       "1679  2128 cm-1  2128 cm-1           0.0     0.0\n",
       "1680  2129 cm-1  2129 cm-1           0.0     0.0\n",
       "1681  2130 cm-1  2130 cm-1           0.0     0.0\n",
       "1682  2131 cm-1  2131 cm-1           0.0     0.0\n",
       "1683  2132 cm-1  2132 cm-1           0.0     0.0\n",
       "1684  2133 cm-1  2133 cm-1           0.0     0.0\n",
       "1685  2134 cm-1  2134 cm-1           0.0     0.0\n",
       "1686  2135 cm-1  2135 cm-1           0.0     0.0\n",
       "1687  2136 cm-1  2136 cm-1           0.0     0.0\n",
       "1688  2137 cm-1  2137 cm-1           0.0     0.0\n",
       "1689  2138 cm-1  2138 cm-1           0.0     0.0\n",
       "1690  2139 cm-1  2139 cm-1           0.0     0.0\n",
       "1691  2140 cm-1  2140 cm-1           0.0     0.0\n",
       "1692  2141 cm-1  2141 cm-1           0.0     0.0\n",
       "1693  2142 cm-1  2142 cm-1           0.0     0.0\n",
       "1694  2143 cm-1  2143 cm-1           0.0     0.0\n",
       "1695  2144 cm-1  2144 cm-1           0.0     0.0\n",
       "1696  2145 cm-1  2145 cm-1           0.0     0.0\n",
       "1697  2146 cm-1  2146 cm-1           0.0     0.0\n",
       "1698  2147 cm-1  2147 cm-1           0.0     0.0\n",
       "1699  2148 cm-1  2148 cm-1           0.0     0.0\n",
       "1700  2149 cm-1  2149 cm-1           0.0     0.0\n",
       "1701  2150 cm-1  2150 cm-1           0.0     0.0\n",
       "\n",
       "[1701 rows x 4 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_peak.index.name = 'Idx'\n",
    "df_peak"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "# write the dataset to excel file\n",
    "with pd.ExcelWriter('./Pros_Tidy.xlsx') as writer:\n",
    "    df.to_excel(writer,sheet_name=\"Data\")\n",
    "    df_peak.to_excel(writer,sheet_name=\"Peak\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "## End of data setup to Tidy format"
   ]
  },
  {
   "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": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fc9b76375c0>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_j = df_i.drop([0])\n",
    "plt.scatter(df_j['wavenumber'], df_j['pro 19'], marker=\"+\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "# How to reduce the dataset without loosing the key features\n",
    "# Python spectroscopic data reduction module\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ChemUtils import GlobalStandardScaler \n",
    "xscaler = GlobalStandardScaler() #It works on a global scale, not per feature as is otherwise the norm for scikit-learn scalers.\n",
    "\n",
    "df_s = xscaler.fit_transform(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "_ = plt.plot(df_j['wavenumber'], df_s.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39, 1901)"
      ]
     },
     "execution_count": 341,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_s.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cZQzCT2a3Hughlug+jJoE2F7uyuLPRoCQaNvm0zmLFigUR5+oxsiFEH3Q5+9cHmHbjUKIVUKIVVWhU7NHg8rNaEZdXDwWEdehlXZ1PM4V3mjwkdm9xxFpuxETrs+6AQKkgUGTxx6R8ygUxyJRE3IhRArwOXCHlDIskVtK+bqUcoyUckxubm60Thtov3JL6+elYzKRcSzk7RLnudMmg5fM7nlHpO3y6gTaevlFu1OPyHkUimORqAi5EMKMLuLTpJRfRKPNg8XrKG397DcZ8LorYmHG4eGxx9qC/WIxOsloDa1El5fu/GPU21Qofi5EI2tFAG8CW6SUzx6+SYeAz4NbNgJgdujevtcVz4WXIsWXBVs3xG/uO0Ci1X7EQiv22vicIUmh6AxEwyM/DbgaOFsIsa7533lRaLfj2KtwWUxoGEgsOw0Ar6fzhVZmfBPfc2EnWRrI6NadI5NPHvpw65yZPQpFLIhG1soiYv2rs1fisKbxPPdQ1HskLzMDt6vz5SGvXhufswS1kJFUhyUhEYPwosV3v+yxx5IX9ZTas++LtSWKOCS+XcCO0lRFY3Iyq8VJYAavNOHxemNt1UFTtDO+hbxHTmXzJz9gjqUpPz++axbws/4KBpWYqQjm2Biib6+kKSXwUlBFFzy+zifkFTXx/Vzt3U2v9W40RNcd37oVYv1S12mwV8faAkUccmwIeVMljsTAhL33iBdwaZ64LpwViYbG+PJyq6uhrcD27qPXrzGK6E6O/NJLUW3u2KYx/idOURx9jgkh1+wVFJT3pOLs4VScPRzH7GRqLOlQtj7WpnWAgHfr9sbXK/PKlW2XJD2y9IIoJmN0hXzRoqg2d+zhazPDdVMnTKtVHHGOCSF3NVTwx2tnon8dA41P9cdmToSG0gMdGlf4/fH151gf8hw0JyTq/5ujNeOyTklJVJs79nDZqEhNojgjDT64TM2epAgjvpTjEHE67AR/FcGm8jzwdq7CS/GWCFJYGLxssSYAkJDgibD3odPYEF0P/5jDZWPKyH8xafh7+j1SXXigIxQ/M44NIfeEe4j33vls/Ai5uyl44otOQllIOLbFI0+yRrcj2ad0fP+4bGwxDKFeZGI3W8BWHGuLFHHGMSHkbhlZCTRnHOSSO2rhP6Pgse6w9GUcYXre1g+Pr8yN0Npm5gTdI89IjW5NGH8nLet71HAEMlVKk7PAti+Gxijikc4v5CVrcBsjD3lvqoqDFMSS1WBvzr+e8ze++qyOgGDHWzAlmPqQwbGWZiHPyYru20V7RR/DH3o/T7SKja2fy5KyApOoKBTNdG4h1zT47wTeXTCZcG9WUt5UGemoo0v9Hv3/MdcBMOfzYDfXEMd/gVAhbQmtdM89Gm86gjlzjsJpOgHOyoCQr+rfExnH0xgqYkMcy0gHaM6pfXXG7yJsFLwx56Sja08k6veC0QL9zgZgy5bgzWZT/HrlrpAISotH3v+4sCrFR4Tvvjsqp4l76h0Bh2Qq12J3q9CKIpjOLeS1O7D7z6ahKSPi5tkrRx9lg8KRtSVU+x+kZkEabu0EyqqD62wnJcevkIdWOWjxyAcOChbyww+BRI6Rhz70fq7UaBLH7GSapqdTLnqwQ1O9w4pg4ntMeCgbPoGaHXq9CSHQKnZQ572L9oRgX1WXo2tfBBzlBnYMXIg0zie3+jZsjsSg7bk5RurqYmTcAfCFJAO1dHb262UhMN2bYOtWGH0Enpkqv1xn/G3TaGzMAsD+Xz873jczIsY2KeKLTiXk/jXfIHbNxZDeE2zFeCvNSPq2u3+TM7HdbUeLOumkqdsqAOy563F6fxO0/fhBgm3bY2HZgfGHOH6WZo/cZLUGrd+4wc/o0dEflWqL3/mzjyq2xixanRWXke0iK6b2KOKPThVaaeB6ytzv4JnxLM758/HsqaforNtC9gqEKnz+GA959zhwmHQbEkU+AP6QS/7LX0bxfLsXwTd3R23uz9ABhC0eubl5YFALWzYemZmN7HYVQghHUGLMivv5XRVHl04l5MbcdCSJVHr+Q433ARqbctAs+xORGOcn2/ZhTzQiNQPflOqX2q8FX/LLL4fAw0c0VwI8RN45H1a+Af7opF1KGazk1qRkIFzIS/YdGcHthJWIo091+OtahTsZ7PE8A5biaBOtOTvfEkJUCiE2RaO99kg+vX/Qsj0xjU8/uZLgvOz4GWCjlW3Hm+DE7UmkVmtJAQm2KScn+Jh3nttx8Cfye2H9x0hpwav1Al900gNDnT5LYhIQLuRlZdG8zoGTxv1Aobo98Nww2HYE02tePiVs1SeX3wPV247cORWdjmh55O8A50SprXap8SyiLn8uEgl48SSXMWvWFUf6tIeMd2cx3qQqbH4LU4Zc1aFjFn/fePAn+vx6mH4jlZ4nqPC8gnQfmTxvS2LkGHlNzZF5sYv76MHuRWDbCyteP3Ln0CK9lhjAfQj3ieKYJSq/QCnlT8ARH6WwovBfVA6ahmPoNKrOmU599kbKy/OD9umWHlyDvDqGdfjde914EitxWlNJTu/avLatlymxVZYHHbOrus9Bn8dVLKlw/xuvHIhEIp1HZkhkwCMPFvLGxiPjOce9kFcU6P+7j05efVvmL4rv2aQUR5ejFiMXQtwohFglhFhVFVrEo4MUyj4AFPeYR632LaXdtuLxBL/m33XRKtrGnO+8M3Zq0GizoFns1Pm6sradVLo3b78xaNl2CJk2DXWT8cp+VA34hB1n/RFf45GZUMNk1ie+aOn0bKExDkraxAJfxQY+S0mhrmrLESste8WGG4kUIrz18ROOyPkUnZOjln4opXwdeB1gzJgxh6Sulw25lW3r5rcuZ4lGQm/yUy7qBVMDy5tWuICjn4Yo3R7sBitXX/UdZWV6iqTJdH7oXsgQAXD5Dj7TxuFPwYik9rhvAbA3VhMdfy347aFlOTRG7vYcKX8gjmPkmsbC6lryc85ltq2KK2p3QM6A6J5j0+dM//bBiJt2F0ceBKf4edKpslZ6Zg6LsDZYbHJ7BY+cLC+PTRF+z+bteFMqm0VcHzjj81lpa6+BcNv8B/mIk34fjswStv3i2tZ1TU1HNsoVGlrxeDvVbXT41OyAV0/DlpxHY/4PdOkCsjz6/fyuz6/H7U6KuM3tUaEVRYBO9QsUIuCtJqeN4cEH/k2QMApJ1z5pQcc0uWKTS+7eVsybS3qzP68ywRweApHy4LxQra6Wun5fBa2zO+rb2Ts6hHrk8Taz0ZHG9s2dvOvaR1JziMlicbNx35Kon+eBnDYDgUI42PtEcWwTrfTDD4GlwPFCiGIhxPXRaDeUHVVN5PR8hCFDnmf08JdZvDg4VJGe7CExNXgCY5fv8KNH0qfhqzu4Gty1NVW8O2fy/lrllH5fk5yRGbI+8g/UW27HWxXeiemurEIzBQepjRuSkL4j9yZiMAY/HKMr5PEvUG+4XTi8N5OWpGeO+JJLea2okMYd30f1POWMClkTP6m1ivgiWlkrV0gpu0spzVLKnlLKN6PRbij/nred37yTjtc8kV21FkJv5gnjbFgSg4U7dADOoVA3o4jyJ1eiecIHvjQtK6VxcXhPZrXdTV3D/uOY5w7/hKy8XmHrpTdwHunT8De4qXh+DRXPrA4T6JqKUvzm4EFRwqthX3UI+eiHiF+L3luP6AT6NKj6PC6oOwNHun6NNYudCe6xfLzqxaie50+aqqgSDTx+D3f9eBcfb/041qYcMTrNO/GIEfDC70ay4/FzGHR2GWf8YUPIHpLbb3YiQpRAoouh1A49e8VZUAOAvyF8rsr6GTuwfb0zbL1XOpHyAAInBJndeoQfWx/wvBu+30vZYysCtmyuCT5/TU2zkOsdug4HSIOH7dt+2v+5D4AMyf0zGPbn4R+6+obVPDdH3i+eSDV72XnGn6g3m7jf/TTbGcgJxiS61J0Y1fOsz/gG5XkfPuvKVjJ3z1weWf4Iw94dxusbjmDef4zoNEKuD10XgAHH+n5UfX5qyB6SLj0Twg8ESv6+mLrPD70yldOvv0K7atqv4hQqfMJ64JKG1sQkkjIyCX1lrlu9q3WpdJNu905rMXaDk30rgx9gvlIPGPzM/34KkyYWcdGFRZzw92twNh3esPnqnaVBywZD8PezGqOTc7hqjZe2I3ND+lHjEnffb/El1vKbSStZet4l3DLxG5yZhVTavWH3QUdp8DRQYQ+e+ef3v18YtGwQwW2rGZQ6xn/XvMDwmuH0sOtO0wtrX4ixRdGn0wi5J8wZDs5W+ePDM0nOaF8FHKsPfXqsJk0XrbrSvUHr24ZapDtEOBMOnDliTU4mKT09bH311oCIOhrrWZKynnt7/5MNSYV49ulhFKlJGubtIaM2BYDHHruP1uwYzYjmOLxwx7bZS4OWTcZgj7xv9/C3kFAcXgfVzv2PyHryheC4ckpKBw2MEuX2crwRR0+2jxBQWNgPpJEW5+KCv/0Va9peHlr60CGJ+Q1zbmDSZ5OCjtW04NeTE4YI2o6R+PTTgz7Nzw6H18Hmin0MaBjAKZWnkOvMxaSZDvmBG690GiEfPnz/23tVC1JahfzgO4WklGF/XE9JE40LS/AK/SliqwqIkub24y4JDJOufGUdUpNoHj/Sr1FiCxXS0BtHkpiaRlJaaBxdMH1+oExpkjcZK3XMsoHRuI8Udyqax0/5W+tpmLeXl5fkMWliUcj3FBi8uvBqHj+NmyoOKrRUW11Fj+LsoHUJ1uAH1cjjCw/YzvsfvsLM59/G5Wu/o9i6IfgPa+HozEfp9Xt5dvWzTP5sMn9b+LcOH+fwOjB5U7jv3qm0vebl5X0YYkxkZuFXLC9fflC2bK/bzpZafRaNCkcFl3x5Cc+uejZsv5Ejg+/lRYsO6jQ/S15Y+wLJ3iTy8jaTllbJ+PLxXLznYpq8R2bQXKzoNEK+fj20N1mxQfhJdCfv1yMHkF4N6ZfUf7sTX7XuZZc/s4q6L7ZT+tBS7CsCw+UbF5ZQ+cJabN/spLu3GwCuOt0b9pTZKX9qBTWvBeZS9FU48ZbbKX96FeXPrubOZ+9k/5MsNwt5ejqE5JM/8u1opCaRfkmyPxmTxcOmk/NIHTEHszSxc8Yq/EX6Q+Rfc8cS6WFlStXfHjbMWYTt/W1sWbyKRpuNLavWsGzmdyydMbvd67R1w3rMMrjTOCUpeJaJEf2K2z2+hfM2n8Qk28nMWvllxO1SSoobg/9mCdquiPtGmzc2vcG0De9zd+k11GzaR6NHv552r52CmgIu+/oySprCO7GLm4pxSx/19bkhWwQGfwL3lF5LYc2BH3JtuWfBPfxf+eW8t/1RJn82maL6Il5a+Tahf9df/zr4uMKDO83Pjt223by/5X2GyEx691vL0OFzafkt1jhr9n9wJ6PTCPn+GJa1HbPBjyVh/6mGvnoXvioHTT+VUP1uAZrTh6/KiX1FOdLlp+6bHVRP3Yyv3kXtyj2tx9mzNrHvxCfxN3px77RRNW0Tml0XNndyCa4UfQ7F8uVFaI0e/DUu9lV0268tBqG1euSWkPRBj9+Ao74Re70NzWrD3LUIh3MnhoQmvAlVlO9pO2dj5DeOBGnG5/VSu0t/OJWt38mqz+eR+pmdnosS6bUsmcX/+ITFS4NDGy6fiw2bVzYXJguQnh7skQ8a0ETb1/wXvwy4h02eJmbvnk2NSc9nb1pYik8LmW4IqHPVUd0U3K/RNW1P0PKBQjPLypZxzufn8MbGN8K21bvq+dvCv2FzB/dtFNUVUVy0ky8L/80k28k8UHwT22oL8WpeJn46kSkzp7ClZgvTt08Pa7Okah83/eV5Iv107JZaTmsciaOomkeWPcLyso555jtsO7iw7kxyfZkk+q2MtB/PnrvC89IvuSTEFjWD0n4prCsECXn+LP7I67xv+D1njH+ffv2XH/C+6mx0MiGP7NneMfZbEhMC29qbmb6hoob6Sv1J7Kty4qoIriAnPBJXQQ31i/fRZGtgceo6AEpHvIIjewtpDgtVr29AVnv4KvNHLj7+dnafdh97Tr0fAO+atnHxtkaE220yuklITSUpPZ0bzrg37FuWlxRTWVlGdb8vMPYKZK3YswvoVteB4dlmJ+XlJaTU6XHW7mXpmMqDxbi3qzuuBcFFu7797jMuKD4db1JwiFQNK84AACAASURBVCMvL7iTIrTeyoqpgYfRjLWfs/HTn0jQdG/71LrhbCrfyN6Gvby6/lVmFM1gb8Ne9lXspsETHILql7suaPmRZY/s92s+vuxxhu7rzcpN4cL3wdYPmLlzJh9t/YhaVy1NnibcfjfXzLqGPtsD4SuzNLO3bDf7GvchXBoj7ccza+vLWGvCH5LPPpTAnj3HR7BE8KcX9QqXe3ft5OPCj7njhzv2a7smNYobi7my/oLWdUOd/Xl87+34XclB+1pN4RlTHe3sXFe5DmeUSht3JrbXbSfBn4AtLYl6kcl34nx20ZcuPXayqvTgwl/xTqea6u3Z96q46xr9ldY8vg7v4gz6XLoOoyGD5FQTSz79gIbqSkym29p0jgZ+jFX7yvAb/bR0L5bv2huxJknFpt2ku5OpyW7E5mhCSF2UrQSEMCe/BwsmvMvyzb8CwI+G1Wum1FzFzOyfgNNb9zUatLBc6yRzA8npmSSkpDKwRwlta5kA1FRWYDSb8CTrQpuWOhxHYyGO9B1klJwFwJ60e9DHYYXjszSwZ08RPVwZ1JiqyPblYmkMz+3rY+tGnb2OzGR9YFLGLn2fRfVlbfaS/PGmcqBr65rQYfp1RflIKRFCkLHRwFk15wJQb9pBhq8f23fs4ZWal7Du1fjWWso7mVaMtX5c2idB7Ywd2cjbSwLzgabOHIY8SzKjaAan9DiFbsmBNx23382vtp7OZNvJrG3cisfvwWIM/EUTKg3M2vIyT5mn8eK6FzEKI37pZ5CzD/1cwfn7Xyz9iH3+Ej7c9hQmjEHXovWaaj5mfdp+iuGyVZOonvg+3b25ZHvT6ZLevd19AaZunsq/Vv2LWWUv09h1Be7kMh7eeWvEfYf2LgX6BK1zu/fbPAA2t42rZ13NpPxJPDfhuQMfcJBUO6vJSsjCIAKOy+fbPqfaWc3orqMZ221s1M5VUFOAQHBC9oELhkkp+X7v94ySx/HETY/iay6ud/v1b5D7u1Iy1/0fN4+OfK07I53KI7/u8iy6zt9A1/kbyPrHPrrO3cipY5bjtmSQkpvC0s8+oODHeSRbgzsyJr4zkBpLBSkL3KTPD7ziW+YEyo8uT9nIvHT9KZ1ep//R89IMNBoboVnI/c2zEf2j5yuk5teR8uUfWo//PuMHao025vb5jlHdhgad/6T+wal8ADkpZSRlZCCEICU7m9AOWntVPU01dUiDj2R/HmPHTifV1ANH2m4AihLWcZqn/WnmC0qS6D3TilmacVt+ACBBhj+2rNLCPW/fyjur3wLA4dHdvOdnB8feTzwxuOZHS0nbFurrMyht0r+n36k/Rb3WWkjXi5w5Khr4VcFp/Ln0Wl7edR+/KTqTS2sm4wlJT+8/YlDQ8r7Vw1lQvIAHljzAg0se5H+/+1/GTRvH7F2zWVG2gtF2ff/unhxO+/A0psycwtTNU9GkRupO3f680gyS/AkYmieqeG73nxno6q1//8T3kMJHd08uM9fOaBVxgEZ74A1LSsnHhR+jHWD6wOtnDqSvqyfvFz3O74omU1BdwLsF70bcd1XFqtbPpSNepqb/dGSE+jsAd134Q9i6/c2g5PF7+Hbnt5TbdUdgcenioO1rK9eyoSp0LMaB8Wt+bp53M29sfIO1lWuZ8MkELpx+IcPeHcZO2040qfGPpf/gxXUvct2c6/BrwW+BXs3LktLgt6ddtl24/e7W7bWuyBlfU2ZO4fKZl1NuLw9KTLB77UzfPp2FxQu5f/H9eDUvc/fMZUftDnqXDmgWcd0xcLzZmz0Tx2FuSN1vJ/yBqHXVsq9hX7vbpZRo8ujVeepUHrlh0UIImXi2Z2Ut7oRBWNqMdD930At8sPLvrcvbKrOpOOkpshc907puS+JOkv2JfJ79PS6DmyzLTsjrTcJ6C6c3jmJe+jJ6VbyIST6LaB7Yo5mbmNF9AY+ddx257/1Gl94B+hQ/g3iF1ZOu486fPmLYc3fRtqPzqgnbWbot2AMc0GUVyRn61POp2bmEhl9q95ZjzrCQ0d1BqiWTl16CwvXXc/ElT+g7JGzn+5NCphdqwzUPPMm+v+g/3mG+79hlPIc0f3AdGr/pJ4y+8fyj+BbmfbecYRuH8ZztHvalb2LzzquD9g0V7pZJJlqosSewomguuV26Iez6d9l30mN4E6tJnft7CncXMN49unX/CQ26p+b3B9+CuX2CJ9PeW9KdO7+/gL+UXss3joVsSirCKA3c89M9JPqtfOF7Ds3gpYs3C+nVKKgpoKCmgKdWPsX1DZcAJzDE0Y8rq8+n1mhDa5OLvS9tCc6Tvie1zM3/bJ1CtSm4Ro3RacSv+Xl94+u8vO5lAKQWOpFJ8JvUjuI+HG/WC2gNr+nPX5b+g621WxnTbQxDsoe07jdtyzR+3PsjKVoSNmMgxOe3NNLQYzFwWtA5EpPDK3j6fFDpqGRG0QwMwsB1Q6/DIAxsrd3Kb7/+bdC+LaGVTdWbGJA5gGtmXQPA8xOeZ3zeeMzG4LePkqYSbG4bJ2SfgFfz8vamtxmSPYTnVj9HYV0hi0sCD4a9jXrH+sUzLg7zlkubSumZ2pPXNrxGv4x+fFr4KUvLlvLOOe9Q2lTKq+tfZW/jXkbmjmTqeVP5x5J/8N3u7/j6kq9ZWb6SC/pegBAiSLgnfzaZW0bcwtw9czm/7/k4vA7+u/G/rdtnFM0AYJT7BHbtzSG8H8nAqrvnUn19FT1TewZt2Va3jaWlS1lZvpKbR9zM0Jyh2Nw2vdM0ewhSSvLT8rn7x7vZYdvB8t8tJ8kcXtjszh/vZEvNFuZcOkf/C0rJK+tfYWL+RI7PihSaOzw6lZDXTp0K19wOwP+U7+bdbn0wmc4A/LibdgNw+pRr4KP3+GBlmx+YNGBM0mPjLuHm45w51PUqoC6tG1ds+JYkTTKkzkO638f7k8/mr6ue50axmzMqGnk7ZSH9mz3yuT2mM2nyS3SZ9XcwJ+EhEHc8UfNwqscAUlLaFHxzpCSGD8455bivSU6fCEBqVjYGoaG1GQk6rnYo1MK2/CbOvuRrauoApvDBF+NZc9NmEo6fQ4TSK20wUJtnpY/5EXanNuHfsQccgeqRbuv79OULSnzjAZhkG8ck2zgA9mROxe2+Kag1a1LwzWoNEfZGt5lPlk1jU1IRLzn1mL83Ue9QqsnYxCj7IHp7wkexShn8UpicERz/r7Slcn79qZzVMJZBruOQRkF3ZzZP9HiTGrPeiZnEUlyM50Pbc7i6Sb71z+d93xd08eoP/ZEO3WvP8gdy9p3pRTjGvQ4IGvIW063gBh4u/r+gc+d6sxg5dWTrcqovOG4NMDivki0lgZCT3Z6GJ7mcRNsAdlqL2VqrT8I6ZeYUXpr4Eid2PZFqZzVPrHiCc+tP54/lv6M+78fW430JZVQN/AR4rO1Voue48BCFz+/niplXUOmsBCA7IZuBmQN5a9NbbQ/lN7WTWJi6hqdXPs17m98LauOOH+7gpuE38YdRgbfLoroiLv36Uvzy4AeVba7ZHLT85MonWVC8IGy/+xffT2lTaes51lWtw6t5+WqHXgBu8meTW7/T2qq1bKkJfvt8Zf0rAPx7zb/bteVCy0nc+PmVEbdJzUK1szpMyG+ZdwuVDv16OnwO3vrlW7y3+b12R4OO+2Ac/TP6U1RfxHnHncfW2q08N+E5vt+rJxH8Z81/SLGkcHG/i3ll/Su8sv4VNv7PxohtHQ6dSshzbryRR599GpPPx5itG5k49my2J+k5WeVFy8jsnscJZ57Noo/ei3j8PWOfITcxnfM3zeGXuxLhljdh2eeBHSoLuPLbO7j8qumY5z2AL60rZ/IRAy4sRUoT4wYv5zb5MOz4HoZfTv1JN/Pb4d3x+028P+1kzt/9Ewjw+IO9m/Ts8JBGUhKtBbNSsnMwGV14fMHHSSQTz11HIAImqKnpgXPgmdjTJXOmX8b+8uRfWdmbu88poLRbAn0b3sJUdw0O6xYqe5VhEQWIAg856c9S3/MhfAWBzI4uprKQdmWYB24OWXZ4jNxUfilSQF93T5yWL0l0+nEmGrF3WcPQwkAdtfRTDdiWaPpsRiFV/ELz6uucFm4r173gbp7AG8hfSwPtJRvn49LGk1guSCwXXMkkrsw7H9nU/pPOlhdcwsBvacTk0d9YnOlF7B33CDnL7mndbpCCmyt+y9Kg66Jx6wUF/OG1LrRcL5/Pis+iX0uLNNPdk0sfdw+Wpq7n1u+DY7LjmvQH667j3uHiSYVIaeDRx65iXAR7jxvVNWydz++n0lnJwMyB2L12HljyQOu2Cb0mMLn3ZJ754UluqPw1k2wnc4slcsfxnN1zcPvd+DQfpU2lbKzeuF8Rz0vJ464T7+LuBXcHrT8t7zScXidrKte0rosk4gD7GsPDEqOnjg5bd9O8m8LWtcUgDO2GMLI83ghpogEeXf4op/Y4lTFdx/DqhlfJT81vFXGAleUreXDJg0FvH5Eoqi8C4Ntd+nwAF8+4uHVby5vCc6sD/RMLixdyRs8z9tvmwdKphNyY15NTNq5p/Skl7KiCYWBOgNqSHZx4wSWkZGZjTog8kcSHo+4AzQ8rZoDBBw2luCwGzD6NhhQTqXY/Jr/EvON7XJ4qlozQuOvuL5BSF9jlW8bBtlloAjakb+GUAf1xufQf/29+vZG6f/Zk3dgsNILjqFm9s7BaNdzulvUaCEFimu4hpmbnkmKup9YXqKWe+Yta8n81mfBuDMEzX97I5X94jblzL22zPvgVH2D2/GT+eI4LSMCdWoo79QlKeujXxg6sGZZG/10LyD2vJ41ZKSQOy8H73TSK64ITlJOttZgswQOEQj1ylybo7w5Mu9dDbqey2Ryt6wZobjLL/DgJq9di4xNm77VCyLVKCvHIm0KyWozpFoTFiK/K2fytNSp6byHTfj2y7yw0l18fxVviRmBEM+/D4O2FMdmH3x643UVInry5XyFyy1gqB35EfS99MmVLznbuG3svfVdm0GNrR4ecCuZtq+e3iSvJ8B/HbRVXMKppEDcM/Sclfr0DuUdyD0alDOcU78loRXYuv2wNstme++59n3nfDwhpEXJ6Rjh/c0G4G4bdQI2zhqmbp5KVkEWdu44pAy5nVMPx1Pe7Foqgm0f/+52edzqLShbxtyF/5rJBl/Ofwhf5YMsHfFz4MQKBw+fAZDBx++jbGZYzjLcL3ua3A39LVkIWd/xwBw+f+jCnWsZgyk7k9B6n031DEktS1/Hfca/Qc/gAGr2NVLy4lsRKA2sH7MJzRjL7GvextnJtkMBPzJ9IsjmZG4ffyNw9c/lqx1fssuljCMZ1HxcxddOqmRmSPZTLh05heflyRuaOJD8tn9/P/j23jLiFyb0nU+mo5OZ5N/PAKQ/g+W4t+3N0ttZuZWvt1tY3mJY+g16pvXj41Ie5ds61fLH9i9b9HzjlAX7d/9esrVzLktIlrK1cG9TP0RFGdxnN8NwDjG48BDqVkC9fZGf7yY8wZs1TeE3JNKXor+rn3NCVT//pp3u/gQghyOzeg2Bh0//3N5ZiwEhR32R6ljpJbChm8clZmLwaPrOBvFIng4rs4PeyJc+JFGbWr28bq9Tb2ZWfRI0oxeUKCK/Xm0htphlXQnj/cWbvbHZv89C9jxUkXHfPiyTWpWE06Zc/NTub3tmbqS0OxNG/WAK1jZFrx7z95e1c/ofX2FY4MuL2FsorzTia7bGlmTGGzFpRl2lhn0djiL+SjPP18IMn+wcm37mMtjH+m858GCH+E3RsaMzc16aTzpWyl8JBBUz41Wa8XivP//tX9LbUk5/9OIY6fZ7LLpY7ufHDFYQS6pG724xI7XFnb2RKd5wbq6j/agdJQzKo8F5NaX4i6TYXY37RBayppJyeh31ZKQ210yg6bio9V91DTn0dzuZMInv2Rppy1nPxRauw2/XzrXhgGF1MJ1DXp81AKaFxxke9kRGqXoJe+6TvyBxCH6J/eu5VRn7fn6yd5zGq6DIApjr+Rc4NwxAGfb/ivy5EQ+88dzrb9l0YwkbqGg2SuvJSBAIIZO0IYWL9ZWtpWl6GwWrkyt9ciRACX42T8qdXUcMWJjAQgARpDXqlL753EeViBXc9ehd3nXhXxO8Huqi2sODyBWhuH6UP6plSj512N/aqMq6r+hXsrMCpZZA6PIeGSv2eG7X9OPL+5zSESV92+90IKdAqXCTkBb7z9UOv54ZhNyClxOlzkmROosnTRIolBYfXgUEYMAojFQ+vwLDPQI+LTuG8vue1Hj/nN3PITczFZDDRL7UvP1z2A1kynZEvDm73ewE8fOrDeDUvXZK6kG5Np95VT5I5ibHdxmIQBjZcs4HNNZvZVreNs/PPJt2qO15juo1hTLcxeP1eCmr0+3lw9mB223Zjc9tYV7WOQVmD0KTG4KzBbKreRIOngV6pvRjTbcx+bTpUOpWQCyFwJ2Sy+NTHAciu2UhKMlTv0+t+dOuv37Q5vXqHHfuHWz9izRtz8Rske3smUpNpZkztNgB8Zv1GK+9iRUjou+Z1fEPTwtoAqMy2UJKfRVZaaIlRQW2mufVzAElmtyQyskx0/V5/4mfNbQyqQ56ancslI//J2uJf0NK7ft0/zqM9b8KnWfj1JcsI9WZDcXuNuBL0fZqSjWTYwtMcGlJN8PLJcMFzMOZadpu20dQUXCO9b7fwwROhoRa/X9D99nxI60HhvL/xi+sX4PXqYn/H7V/yu6/uxldhoM5kIa3Bh9WzPcL3Cw/h+DQwdzNjqZqOYU4hjP8TKfYfSP77rQh7NVuX1wNG/EYBlVug10lYuidjuWQAtd80v9Znv0O6vRqXexQ5lvspPLGWC85f2/o2BTDu4XVsf+jzoHP7DZ52RRzAavIx4arB5P7FTlVD25mpBLNnn88553xDbrOQu3faqHp9A8ljuiH9gYfeOytzI1yHkHBTiuTLpx+hpngv8HXgakmN2o8LcW3VszyMaVYSh2TTuDDySCF/k4fqNzaROqEXND8gSx9eSs51Q7H0DJ5Zq2lpKZ6SJjIu6of0atRO24K5WzJNSwIZWPbFZUHH1H5ciHFe8IAuv82NKTsRx4YqTLlJuLbW0DBnD11uHQkGgX1ZGY6N1aSc0p30X/aBLXZqNu4h6wrdsQjqSHRraGjY5uwm5dQeaE4fxlQLufZ06j/airlbMvaV5XT781ia1lSwsXBIkC3dM2yU1Qf6SS7KvxCjtX0JFEIwJGcIQ3KGRNxuNpoZ2SXgTLV0Yp7U/aSg/bomh4fFok2nEvIh4/PYuCBwk9ZkD6NP32wqdqwlOSOTlCz99XHohMmEpvNt3TqGC66t5bNbroIRaTgTjLiWPA5jAqLlNxkozkvE5Jd4zQayreH5qh/KkxkqNpOUdjyhP7janBSQ4WKZ2ysVoyngqac21ZLcNXDelKxsQvoS8YWluQV7fQ0NwbE/i9WDx20NOcLQ7BUnkp+/lbfe0ifiKC3Joby8F6NPXIsj0YjfIDEufAZGXIG/Jjg52WD2YrKGh6pCPXJNGjH6qyG5N0Z/IzU1bTs2DTQ4dlCcuZfaTF0880ojD1DRyxC3LRxlpOtJK+G7V2GngJ16Gp7wOpHdR+C26tfVZTXAm80TefQ5A66eAS4bJILZsIfyHhpm79XUGgSvv/73IBHXr5WRhES9CtWkiS0PGY2qdwsxWI14SptITN8ddExuuoOElEwevGIhf3htAm3/Pl98fgPnnRmc4+/Z3YBndyDl1W+y88D8UyJeh7YMHmxoFvFwXFtrMWUn4G/yUv9lEQ3z9+ItacKYlYClZwqODVXU9vmG1IpxlD2ihytqP9wauL4OH40/7CP76sC97iqspf5Lvda6Y1VgYJh7Z/vVP1u/U40LF16MCIwY8JQ00fD9XhxrKoP2c+2ox76sDH+9fr81/rCP9F/2ofYD3Tb7cWXYV5SRe/MIDAkmpF8y17wBA4KJP4BrSw3ecgfWfukYUy24i+pxFtXiwkvZP5dRaqgF2nZkSnrlNAQJubuukaRuwU6L9GlIjx9/kxdTbmJrWWzN7cdgDfwmV07/iYqyCi74v+DsoBbWLFuNra6OCedOal23b98+cnNzSUiI/KZ9OERFyIUQ5wD/RncR35BSPhGNdkNJ7xIuKLn5qRTM307XfgNaL7rukYeOphTM3/4LvM1Os2YU+o8/ApoAj9VMTm54t9Onn9zE0KG3k2DtRqi4PvX0fdx332thx2yY9xU+rwcydS8jubGK5IEBjz4xNQ2DyUykcFBkwreNHFrKitXHhe3n9SYCgr17B3HuuZual3W6dt3DtA8m4rIaSbbtg0e78vTSJ2kbVjnv9o+xeMOzNUKFXEoDWmMJBk7E7w/vZBz3v6/x9Qcnty63xOrbYjRohPYJSAzI7/7OvrwEcmo8JLma/67LXsJnFCw1ncd9904lLa2Wmj8NwOSXsHshPDsYXzc7r3z0ALdf/yQeS6Dd6XfcEHZugFu+uJSv//xpm+9vZEPPEzh7vBsKv6Xp3euAQMGTUwcXA5lYEwyMf3w5P/0t8P127hzGtbe+x8b/ewe/zYc47QY85X6EUWBINmPplcqe2t8i+WVEW9pegReeqeWn/7S/h7V/BprDh3NjdWvN/KQeVaQVTqIu4W2qB35GVd4CBi1+Oui41JwVNFafhKe4kZqpm8Eg8Ne78ZTuv6CUSewl0/wSVZ4nqRNNpMsk/EgSkjU0v5XPEmaiaSZSPVlc8kHk31jD7N1h65xbAvVP6r/SHyT2FeU4NlThLW5iT0KVvtEL3nL9HnPvsNGIkzUmPb6+3VTGla4z+M/SLiGtS0b1K2NFUSB8WbOnJkzIaz7ein1jFbWiifwR/cieMojGgkpWT1tAF5mGMcFMav9svtmuj48YXzqJtB6hs3zBV7P1N6ezzpmIEAKPx8Obb75Jz6553HDL/7ZzZQ+dwxZyoU+k+RIwGSgGVgohvpJSbt7/kQePyRx4IuYdn0Hx1jrWznqMpppyBp8xoXVbQkoqBuFBk+Ffz2MO3FiuCX+Ean2whsNBq1dc3T2LlWsH8+fJLaVhA2zdOooFC/6XSRNvDNs2e9ZVzJ51VdB6k8HPgvf1zpQev7qR0m754KglvWvbWKcgKS0NYdCQ7c5oFN6Z2ZZLx29nxeo+EfYJPBhaQh0tVFT0YdLEIj7+aASn15XTo9zN9AW/C9qnt9hJYnrwazeEpwmCgTkvf8y5fe/j0hfCZ2KpaewWFqMPJTXFh35LBj/Q7ElGtvdLoSrHS06Nh7qcNI7fUsWj82/n0XkPAoKGhhyOe3k7O95/DvPClxD2SgZdUw8IPv/sJuZ93x+A2bPPD3qYteXrZZcTev3u+ZOH1RfpovDwmnto+5B74YM+AFxyzxhc/1zBTyF279kziGveOonpU66Dk/8AWW0etJ9dj0u2P6CkLdlJ7RcSy/n9AKw1X6D5rCSNuBhzz1Tci34kceX1CAFW678A8FtsJA7NJuXUHthXlJO6+TLMTXswXrAB++oavNVO0CS+OjfCbCT9oj6YchJpWlxK6ul5ULudqs+cZI4uY93m/3I8JdhFGasGfkBVRV/MVgfX1s8lYfQdjE3Vi6S5XMmw/nSwBf7ubrxsMZYw3N8bAwJzUjFr3Bp5Wha8u5lKYaPcUM8wfz4Cge3bwHc/ftBCpDTwRiGc7RnKLmMlvfw5lBvq2W4KhHmmJSxk5tpAOiVI3pvyFh+l+oCWgW6C9z/V+Fuzr+beZcOQYmbulkUUJujho17bdnOddjxLFyxmiaWgpSloM7XB7Jc/p5eWgxED5qxE1jQWcvGVv2ndPve9mVisFoaP1zNyiiuOTIGcaHjkJwFFUsqdAEKIj4CLgagLefGWTZxwqovuA0bRZ3gO6+YuY/GH+si1vEGBV0MhBEaDHy1CeHOtNZurLlnAJZe8yeIlF1O0/f6g7e9P+wWzvj2HadPuDj8YsNmy+efDf23HwnChNZu8WBITGXvRpXg+fxusehx/8OlnBe2XkJKKxerC7WwnOyLJD472Rb6Hycupg/ewZEvbCZ87UsJXcNXVy/j+yxNobBqP0x0ccsgr30PSiIFhRxlNZvSqjYFzXPDiu3x26eVs2TUq4rmfev9evv3mCs486ysuvHBq2HeY+8lSYAJmow+vvyVlUzD4Xyt456NfUp9upj7dDPgp7J/Co/c+EPRdi8uzWSg+xjC+O6Uvnxi0bfnycYwbt5x/Pf18O9cl8rUqKvQ2WwcfrA9+yOU0x5Wz81IweRpCDwUEMwovYcWouxjzn5EY7i0FS/PbzabPmM+FEc/ZFoPBz7ZlizFZrVz5yDP86ZO2DwsDCWVvwYInMQKJ1w+DjJMwmX/Cb3BQ0tXKlGceY8m9Z2IyefDW1sNLw7FOeog9ZTaMMo2e84aT8tt3YEhIRa7pN8OPc0i4bTXU7YCZE+lhTcG+2YdrfAqzSwdD5XTye28kv7feiTp11SQuXfs86EMTSEiwk/wrLxn5o9j35PkY/aey1qixPVHQd7DAvnkBs9zd0MwGQHCDayLfWNbgFxo9DOnskZWM8g3AgEBDo0uX3QBsKzyN+RZ90NUuYyV9/Nkkp9RgNPjIztnHrp2jaWwMrvO/IMFLQVZ+0Lq/P9uPq00LSRyWg3NjNcJsoNAU6AOo8zdS/tRKqu2V7XZHbTYVs5nmSqBN+p9mwXuzWpV1ya7VAHjrAqHEXeu2cdzI8N/U4RANIc8D2roWxRCeCiuEuBG4ESA/Pz90c4dY/c2XFK1cSv6wkSz6sJweAwdjMJq48M6/0nNw8LB4XQzC27jo2gJA8O67f2mxLGj7VVd+t18bfL6Di28lW+vpPWwUvYePxPLxVPBtIzElk8zueUH7Jaak0rVLKXv3RP4DZw+qpmZNtzB7ATBpZOWmMeWMLSzz5aBtP7jZGbzeRDxWI5P/82jYNqungaT0yB2/Z57wEws2n9W6rGHkjrn/imxjs2cMgtmzrg57cxlw32yycvU8ci722AAAIABJREFU8b/f8CUPvhaIPRZX9SWUmuzwOVtbljW83L8m+GF7370fRPwOB8LusFDW1crmgSmUPNSn3f2sPjvtvTU1pprwWAwk/Pg4nPIHKFnNLm8qf35sasT9A0huOnsuVbt30XPQEHLy+xBc8ljCgieRwojPqGHeMR8y++Bp2MnCM/RruaToTEDg81m55OxdTD/fBjPvoGi8vr3nT0DB9GAhL1sP6z/UPz91HBIoYCB5opw51vHksobuPbZDD5j//WTOnjgXgBPGzGPSbZ+w+aHRzd9L8tnDj3Ou/3LeMtwMBkH37ts4acAKPEXbma/1J7fbLvJ7b6C8vD89f38/ma+8SU7OHmZvduISiYyYnIY5tw/vvLqL+yfq+dp//ettZGaaSEqqx+HIwJu5mdH9Vrea39SYjaYFS1uxteV3G7jeLQPwnBur2WYoI8WfECTYTcLFroYS3MZAWY9cqqkih+7dC0lJqWX79vA+jo2mvSQm2jCZPDQ26n1ZiysCxeCSEsJHgh4u0RDySHdi2Du0lPJ14HWAMWPGHNL0HKdPuZqilUvZu1G/KLaKcgaOO43+Y08O2zfR6sERXjCOA3ur0Z0jsUvKDvqMPLFNloqX9K49w/ZLSEnlFwNf4409z4RtA3ik5gFuIdLoMo1zX1pGkqzCU/8+SRcOpOnZQ5tmp6Ii3C4p3SSkhIdWAB57qILTLtNaa9EAlNr3V75XtPNZkjbYjTVZt/vsszw8+FpwmGJS8494wU9jMZnScTp3RzzD6NEfsWbNFEpKwsX/UPBjZPPxLd8/2GYQNFRXkpKVjSOpO8lWD3Z36INeP2Z3fiLHL3kBsUSfZuzkNzYQfq+1/c6S3PNKOLn3Pip372D0eRcTiaosMxuGpiM0wemLnsDy4+Os79MdWtP+A+eYseoklt6Wx6DSQBbSrBP6c6Iw0RpRbiiDFa8zM2csZQmZXFi8mgJLX5wjqimw9+W1V6fw472fYDK58fn0h+ljj+mibTR68PvbPmAFlz7wVx580MVpp39ITXUvcrvsobo6ic2eLPoOWkFWlu4B9+mznqbl7zN4sD69XVnGILpnF7BgmY1dzgIeeiHw9vXEE//h21nDsFhc2O3pTJt2PTP+8DYej94f1Ldv6MhJyd6kyPfwJ11WMnz4cBYt0gMIaWmVZGaWkt9tMxsLz+K7erBYHAzss5Zcm4Ph/m0kNUjOnfoOFZU9+f3/fITXG+7cjRn7FQ4HrF7VUupC0r//ciZVbKLroH9EtOVwiIaQFwNtC4n0BMKrREWB7J75JKal42ywMeSsSRT8OI/hk86NuG9GupuaxoibokigHnd7nD/sXQac9Cxma+CPndkjXOwsiUkMylxC4MccLBraL34L/w077P/bO+/wqKq0gf/OzGRaZtKTIZUkJJTQO4oUaQJSFmQVy1LWta2siqu7+uGKrqtrXXvfteC6NqQIqAiGIkpHQgkBQgwQSO/JJFPv98edZDLJJLQgiPf3PPNkcu69575z7rnvOec973kP5vf2YCo8wI6dcnyJwEnV1PyrbXt6SxoUpW/7ajTVARL6VvZfsyQlI/ROpDrvylX55T5zXGo1eo8iN4WGgJBAatnojhjesADDX19AEBY6EGj5W84e+d7p3471SbVEVnA88wSfPvogw26YwxXjO3O/9Qce+WBUi+vHjM4mNLSAvL+kYax341QLamtbjnJMPcuoyQkCl8C8eB99Cm1UrpNXFZrD/cfV2Z8QATiQVBLZUWGknSzlhN3EtNHb8FcHrHE2Jrz2AVsfHAfA5Mnvc8cNrzPh9aHgsEJZDkc0MRgut5PMT+xPFsBPGACDoZr166Yj9/BbNlgul7+NXVQMGLgclcpNZNTRxgYZJLp3387+/V5XvRkzFrF4sXy8YSJ+T2k8arsR30lwFRMn7EN+xm7kbrT3t+bk+C646RG9k2qtgXlXpnD/U829v6rY1GSrpcjInRQUxPPWWy8ya+YLmLSxCP0JFix4gSefmsm+iCBmz/6KE3mpgOChh3qy9R9X0EM6RIkUTnFUAK8vf4Qxj8q/o0t4JvvmXcHbpY8z6+8rsViOkT99IyQN91NWZ097KPLtQKoQIgk4AcwEbmj7krNn1lMvoVKr0ZvNXD7jBoIim89Oy3ToYONIi01s2re3HRZWhGNRPtWTereSt8TwCakYzA0vrQpwEx7TMrxpv4lT2L9hbav3klT+HpUbYwKYsttjAqVl4/Hn276F4zQq2OYYzCa0nSqx7WvqCnk2ZSwItNY0NhjG4GCExonkaKtROJVXT/s965Zb6Uk8fe8GdqyUe347Vi7lttff52D6F/g3rwjKyzuweVAYAQGhbNrUuXEhUlPmJh3m0xe9CjK+uA67XfbkaG2PyXseeZuMDHmh0+/nvMCc2V8w7cp0PzLIctx04xoKCpIaj69YMZvK0g5M+NMHSBIcqVSRlRzCnGsXUVkZwTvvDGf+/CVN3EnPvFxvvGEtVVXNg1cJjxL3pi1ePKvx/4aJeJOpnGXLBwLNzX4Nz/hUAVwlAq/JYsH0EcwclMDDBht1dd4tIWewilAqMapqeHH9Lcx61LsYbsuWCbw3ZS5zvvgvIJh5nb8YKWqqLytiMyEcOxbLvfM/pqLCG7LhYGkaG4aH8cfRdwCCgoIkrr8vko8+95PVOXDOYWwlSXIC84DVwAHgU0mS9p9rvq1hCgvHGByCSqVuVYkD9O7t3zOh/ZD4v4dXeDxdJJ90IZyAm/gpO+k5qql7mWzfDIpqKXdUYjJRHXu2SG9+Tx88O9sHVRcT0bG56+G5IhFUK3sCNLfnN6AzmoiafRjfkcnZVCmJ8euXNCpyQ1AwOtPPtUX8qXru/hoFifw975OzcxuW5BTqqirZt+4bpvxjPL0f3dVKnoLp07bgcJSz4P/+6ydP6BLt/c2z0qvosWdx4//dR8gB1kSzy2QlLsv4znv38PDf5/nNu0GGgoJkmivUjT9cxdPHdCwOOEbOkGom37Sa0tJYnE4ds2ZtpbQ0tpVyOD3kNQ+nM8Hc8v+amtAmvfgzR6N2UmIIonuMPPl59URff/zY4ByiA138OFTPo+sWtpBhzhfvtCK7lzGjjzBm9BF+P3cdFRUWmpevb0dA8PGS9t9hvF3ikUuS9KUkSZ0lSeokSVLLGbMLwKRr2g7qf264ef7fH3HTbXIoUPMHe5BfXgmLJY+HFz5OwuodpI3fQ0KPlnEVohI7+c01MrH1SeDYTocQKt/gQAGXyQs0zDWVdB58OQC/+fq/slnCh9aUVRtKTCsRJnLQaHVEJfuXVxcYSGRMkd9jAKhcbd+jETdGm8PjCSP71Vs8Hgqnx9mbUfRaO2jOLMpfxA0H0bjkCbCZjz4NwNp/v8bxgxkkRlhB7T+IU1VVJGNGH6Kt1+43W2qYsrWGjsVOcMplO/6P8zF64vL4KvLmylWwft01nDmC5557jNBQFTt2DAA/brsXjnMbXc0bvAKnSkN0iDzSmTCtmqYdj9u3LmToklcYPeYI/p9Le4zsWjZQd9zRDtk24Re1scSZMGLEmV4hAc1faP9by40YsYaeSdFUOOSX2RgLCau387eFf+eeP3/CNdOn41Br0NsciCb7zl0xcxadBgwhLLblpCJAVFJsK/eEIztWMmryu02OS4Q9JvcuTLVVdB58BTMW/IPU3CyuevB5ULtQqewM+WQV6q41fvPVDCpv9X76IWVUVx2m85ChBGj9b2qtCwxk/PpltFbZ1d0aPDma4zuC+cO8FxDCa1IwBgUzoeN//ObpH4m4L7dz001Sq9v8tYZZb8eyuvkGC201DBK9Rsiub2NvmYdGq+Xy38qhUvMy9xFfXAUBbV3fWlgFiXG98ul51E7vXHmWPkCtxxQaRtpwr91dqz0/r2xRUSxjx2w4a++ei5XeEXsYlmRm/Yv/YOuyz4iJ8y3/Tz+5iy1bJtDeZtdT8e+WW8yeE5esIvc1ebTeIxXCycKFj7Bw4aNcf/0iGnrWQjjpOrDA51yQ0OtrGTlyM/nhFubuzWk8agvQUqvT883AK3lFZcatUmFw+t538LRr+c39DzWuQG1OQvdeqDT+tn2RiE7tQq9OWRhuOoHQ2zE/I69KGLtpDSa9ibCYWOJ7yKaZcJ0Vy5q9TFn4PrWSkYjXjqAKr0c27Ug0TBKFP3mMhP9u8FM+boIfOYHTaaffhCmtlB1oArSEVZb5uV7G+EBOy8QQG4TbGuXQTS4k1JVFUKR3wxC9yUxKyE+eHr1vOUycCD7PVbgxr9yDU6fh2ddsuFwgSSDHI3PTtlKGCF2lp5t7uqMYiCrJI7nPQHqNGQ/AZTOuxxgcwq4vl9Ox6CSq6DPdeUYirXcmrj5en4HOFV+jC1YR27W7T30JDvZ3/c9NQx3yl37xoFI5KbHlcUcnJ0f3/Mimj95n/2sLzjHX9vmNbe3udDZcsoocYPwzH6JKrcH80gGa9wJ79drOg28s5eGH5RjNFYZAkrrmsXDhoyxc+Ch3PvUS5U8VgpCVgYiuY/QHS3nwwef57T1/5r4yOzk2353hO44aR6akZnmRvNOMQTqz4o1ISGTW/JdbyBpuKeSGfzxHrDGKoN+XkLxkB8b+sj21z74N9Bo1CaFSoVLJvQ1DvXxsJ/HUm2Sf1cjPDtLns3Qs6RmY38vAki73QqUwI1fc+ikREfnMnfsqoxd93nis/8SpWJJTWpVXCIFKaFHr/fl5ShhjIXV4gycOgBvLkgNYPsvCsmon0at3ETK/AIPNiinc68WhUqvRBOgZ/cYK37JQuVFP2ETkn77kwSeL2ZBbhuXbPXS0O5GE4J3tR/khu4T8yjocDhj/9reYV2agHVcEZrucl9ZJ04bgd8Puavze+FfvQsT5iwUjIeLqiM0/SHiztRCNC9JKltP7rgxO74WXILIeS3oGo0a/xaoXn6Z3zTKibZ/R47GbsdZUN8YPamDJkqayniLvIHvb5wa0ZVJqqqx9v5ufOAy6lo2sJT0D8zOHmt2ztcbUk+dpm9+aX+tulreEYc5xn/8XznuPbxL6sfntf/m5/hT5B/mv0+aVGZhX7oaIs90mTuLjLH+Lx86NS1qRh+oh8s1sjD3smN/LIDikhBm3v8oDf3+cadNWEVhygEVDrmJt1/58PGgsBf0uw2yW/U03dpajmlm+3YMlPYOoDw9h0wTQsWMC/9x7yO/9jlh9A04FnkXxxgXpsaRnMHhSOuoAG7qJxcy7aykACWGyC1qNZ0HBVevl9B5jveEJUgYOwWCTFfkr13ShVqfBUix7teR7XNiMTXSQXa/leKSJrrd8y7qojkgVssyJxw4xaGrTeOf+MUWEMuXRVzHMOY5KZUelciC0cnkDDB+6Ct20QgLMNUS91STGtEGD2xNyQV9vbeHiGJ4Qj66+ioi3dkGAHVV8LR0+3cHu2joC+gbzv9odPLpaDrBkKSsH4NUD+Vy35EeGPLeegsp6qrQajEYIfeAkluWZWNIzsHy9T5bNbKf7LV+j9exOb0nfAxH1qLvWYPlyH1GLDpGyYisPPwzDhkFkpETwgEpi38kiquQkkQmJPvJedfvdxHTuhgBm795M2q2Zsu1duEG40TSxw2s0cO99Lsb8Zx2WT7I8ZSA3HBn6Yn6yHud/D/0Zp93WYqL58ssh5dofQOPy2MvdpE6oInFkNTqdRL9+oNa5MN2bg2VZJpoBFRDoANxoNG66jqkhwuLE/OluLKv3oulXgVrjQqsFg0EenGg0EjHjKrCkZ7CrqJ5XjhbLnaFAB8bbj2IcYsXy1T5UnWogyI555W4s6fLzNva3yuea7ZhfymThzlws6RnoZ54AgwMRZ0XTr4KUdPm9sqzdiyU9A9O9Rxg5yiXn9+ghCLKjm1xAYLgDdddqtFeWQIit8V4Ne/eanzkMeif6mScJmlUq3zuqDvN7GcQVZ9NVkt/V0Jg4Jtx5L1Fde3Hn7Fs9ilqeyxAChNqFSu0CjbfszK/tRqWRGxrNoDIs6Rnc9V0lRiNYPs3Ckr4bVWqN/FtX7iZgSBk0jHz1TjA4MN58VC6nABcBQ+Q8ekh+F7icExfTrEa709R5zZgAc+99E7dK8O7lkxj4UyZ9jx3CqjOQbZGHtBvQElRdQzCgtbdsce1CTebxY2wJT6JLQR5jtu5mb6doNg6WFemm4jKI9Eb9C1a13LX+VHQwyD3TruMOkTYmiy97XU7EblnJde7kXeQSWZJPr6yd9J0wh9AOXr/0qfc9RN7TssN5bn4BLrWBDkV5FEb69zwBmDksiY/loII4jWrM1RVM//pDjLOvPaW8acNHsiHrCEGzSglPyUKyuQhNdnMkQS6HkOpKwu84TrcReVQERdLCIxSIjoph1NzbfdKS+w5Em1uIuoeauMc34hgQgeTSYh/kcXWUJE6U1QCBhJRkQPIYnGlel77Bz65DO6ilix/IdcG4PJPoAydgA3Q9vIes1F5YPpWVauKxQ+QmdKZOp2bhQjeT76rl5n25FLpdGGvsqN1uIpt5CemMgVz/2DO8edvvcJTvI25QJPXLqqk1yrb/dX1S6Bbqbayi1+1Fook5ySYr8vpq7+IHU3gEXYe2nOxJHnEE9yw4cvVQ/nGkgFeOyZOia3p3YliYmfu3H+WDGjmf8KePNl63ql8qV+/KxhKgocQztA9/Nperw4L4T29v3TpUa2P4Nvm6CfvkMjH2AOMKrzNaj1wb+972701i7GHHuFxeYPNGpay0gm8tJvjW4sZzmi/xCJxUTdG0TCye5djGYZ4IH/MLaMvHY2hIGT9+aUXrkDBVu+lpqmbvxwcx2NzUaSQ6VskyznzkSYzBIdQ63GR/+C6WZd4IIvcnWngmt9An35kbq/l4uBnjN16Xw3G7ahm0dzUdKsaQG6Vh+WATvOktA+MT/iNUmm8sb/w+b2UFCQu6+j3vXLike+SBku/ERp1WS61WdkvcG51Il06+L2NNYBAfjZjKTxotdSo1cYWlPscrdVreHzqZmsAgTI4gwtTjGZHbm8k/yA/wRGQMwu0mqEZ+KaMNZ27QTIySFZXboaPGLrezHULlF75jj65o7XKv32CrJyp2NqPmtOw1J3rcMp9Qy781ttz/ENpolV+nr9wV9O+m4+t7hlFn0BBSXY5Zc3qxIIZeeyPRQlaY9U4bVruLOs9mFrH5uQwwdUBvq8OlkygO8d+wjb9lXosFLwOnTEdvl7WNY4DnmNprK3YlmanoL8d57pyzn455R3yut42KptrkdUENcLTsBalQ8bunXmLyt59yxyJvwM7ffrmI4Vu+xqnRUFzvYNKeIxR6AveM3JyOOTSMsNj4FvkBxHXvhU2UoHHU4mhS/a7cnY3N7fVmaT64N1mrueFx76peIVQMv2FOi71SAQKcLhwaDSV2J/89VozZ6gZJYt3xMvJtdvYVVhJe5aL7Ud8R4tW75HmVEoevSbA2r9bn/5ezWl/Pp7e76ZlrY8b3xS2OTd1SwxX7/Ycnbo0eTWQs9RdTww99cmwMzaxj/M5aBmbKE8+JRQ7uXn6StBy5HgzLrOOwUx6ZTrn3/zAGy3U0MroDxroaVE2eRXMlPnttKdd++TTXb/A2N1ftqmXu8jdIPbKUUevvZNo3z7Hgv+mNsjzxn63M+L6a4fusxJU4GJVhZfzOWuYvK2fu2kombath/rJypn59D0a173NpDy7pHnlgsx5xfYCWhgB8Dk0AGVs2wYzmG0RAWaAZq95IbJmdE5FuJI8rREWwV9lYnHqm3N2HzYsP0ec4pFvt1Bq1BFndXPWjk7W9XfQyn4Uij5N3N7LX5RPh6Z0ndJAVljk+EuOeQ9i1OgLtam589jd+80jrlAhNIg0OdJpZb63BavTt2/Q7VMSmPmYK9Uacphq+XXAbNVfPJaq8njkvLzxtmWMMcr4dXWUUObXU6S10zd7D5LWf0//GuzDY6jnQxdvjG/nDV6y/3LsiN6pLy0YjQKcnUuM/xktgbRW1gd5jKQFBhK98l5LQKErColgxdmbjsfCyIkrDoggrL6YwyndUokJHVKIsV0MD2YCxTlYCE5f+CDFej5rUIz9w+e13o1L79z7pO34SWd9vQON0YNf5rn7cUFzJ2KgQdlW19JEfeOXVRKd04Td/+RsgSOjZu3VvIacThyaAKdsPUoFEnNWFxq1ikVTOaz+UQ6AgLbeOOSvXcf+81gNzTdlczhdDQshz1LGyqIJ8m53Fx0rJsNsIrnWhcUFpkBq9zU1SoYMDCTpiSh3MWf4p3Q9/DTd+2JjX7778kYlb1uDQBqOv7MvaywcRW1TK1O1qKgNVrBgUSJXRW2YzNlVTa1Bxw6p3OZI4mlemplISLKujG9dX8eHIIDqUOSkI09DtmA2TTaLQbGfctsOM2rkWtSTQOOtwCQff9+rJpE0bGf79O3QJS6U66K/MXvIU3yaZ0IdFkupxzQUI79ABjdvFjUvfIC91DqZ6Nx3cKoIqreiC1OgP7GVQxofo7FXc/OmdTA5+gbyDlaRte5FAayHa5GTsOTmEVRxi0I+H6XFwFW6VBnNNHgN2G3CrtDgCjKhddjTOegKcciPpUmlRu+XOhHXXLsxXes2h7cElrciDm/WIpeKTqDwr5FyaAOKG+o8FrTOEUa83EeksR+dw+Y1bnuxyEN8tjLiHBrP/u5M85pJ7KJ1P2rmiooIuXzlIuPHMfdlj4iIQxwqp1xkpsclxoS3Rco9cHaAhvAYqgiHcoUel8u/9EpUSCwdlI8ZlB2oZltyBV20S1iadu6nfn+SyXCubPBuclIZF8dhNciCx1IJKDCGnv2ihU6Tc0EQYCuhWV8By40y61Gq4rMPlpEwYjnrpGp/zex6D9Z5366aVa1Bd6X/LOnOzDS0iS/LR2+qoMnlNJkHV5Vx13fWse+4xKCsmorwIQ907fHXldFSSm4jyQkrDojDWt+wpqjwhAEbfOJe1H77bmJ7SZwBFJ2SPpRMxvso4Jjic7iPH0Boxnbsx/YFH2L6m5TZ2szKPQuZRn7SUnzK58oevSL1DnnTt1N/f1su+6BxOJJWKHM+IRWMrJtzqJtvkdWsNLtlGkWYrWvtY7NqWsUB6799J2q4lZFvuIjPZwh/25/ocH7b7CP0zf2Rz/0lct/pTSvUVPDvnj4zbuIQC3UEKeiQxfMsaTlpiGb51DeEVxeyKgbS8I/TadwK7qpx+ezdz1Z4jqNExeHs3dva4ig7FOVjdRxi75yB2TQAVBicheYd57FULak1HCoINhBZvYOSWvoSVH6TOFIe56ihaRzXpXeWJ33JNBUnFFZQHGnCnDeSht/5GbqibPbFR5IW5uWnxPRSaDQS73AwYN8vndzXEPOpQfJJZ6X9A45YInj6dymVLfM6LvO/PFD/7HNFv3knDWxxy/UyiFy7EWV7OtsefxLFhLVHVXs+2AGcdUIfOXolDpcLd5P1sUOJRD/y13ZU4XOKK3Kjx7TUl9R6FStUkLkigf0X7U0wn3CpBBE70DkG9Doz17sb9L/+0ooIxifJDEkLQY3gsY54/yolwDTMz8hn3t7FkpWeTMPTMbWHmhEgM2fm4g6PBZkXldhPRJPi9Wsi/qaO1df+lwJgIpizKQiXBoKwTdHllEuZVGTTdsC2xvJKpdw7k3X1VHIzzXQqv17cMlN8WKR1jQIKNQ8Y1psVLGi5/UW4YrAZvwKKZ6blcM24ALwNhlXVM27W7eXaN9DcE09Sb/E+fb8fgqGfZ8H583yuM0Zs30yunkuiX7+amZauwZWdTn3uUHx57gZT8j9C41Vgt8ZyMiqdrfjU/JUDf/fsoC9ZzNC4Ft2fP1D5TrqHHleN4doc8LJ/64CNEvPQm7/uRacbLb7bqPtpAUt8BBH3VcvPg5tz2wTME1cqLuuL69j/l+Q0kFhcRUVpIRXAETo2ay7etwKbVE+AYTufjRRyLUNMrS44GeO2KdykLiaQ43EJgnZPuBzdTZQqhQ8lJXGrBqA3/ZuD+/nTrMw6zy0HNoTzsJ/dQY92BVSXovW0vWZ7qMPuTx3zkGLx7QwvZMuMiUbvdDN4tB7/aHx9JYZARKCfq6Me4AT2wJ9ZEvVaDLaBBBVmZkLGSw707UR1hJsi6n+yOAQw9vI1qvZbaQO/oOjcyhNxIT2NecwxzhES1QU+ZSW6wfkyUOxbu2K4MnuY7z6NSqQkfNpnS71ZQF6DBbHNQucSrxHOiQsiKDoc1y+h67XSSP19OuU7D5tQ4yNyOuH4KEQmJFB/PgeRoBjk1RCZ2InzmtdjWbeTE4QOYv9vM+p6dcCGYe/s9VK/9Fqy1rLdVMrBLCr5+SO3DJa3I9RrfnnSlK8DH5HDQ6gDPCD2i0kl0uYvDMQGcMMsVIkIDeodsSwupdWLVawmrcjG8eyA9f+sbvnJ2VQnHD6m5+uGxhEQHMeTGfmcls0Ynm2e2pXShZ0kNgfUShkhvD7TnyWoOxZgYpnK2kQv8vioL3C4Gvz0XodUy8mAhlYYE1JJEcbCGLmNTCenThXseeYyPxoxlYw9v7zeh+sxm1RMSo+AnX5tpst6bn9Vjevn9mkquL9tK0mV3c8sLW4krOMyQFf4iOsqMTArillU5vH21bP74zWWhqIPMJG/Yzrid+fTfu5gOE4ah8uzzqUtJQZeSwugunen/ySdIThdOt4oeL35EdLcIqvVR3LZ0KVmJXXl8TgpJdq/pQm0yEVFe2bgos9/4K/ndm0vZ2SUeSW2kNNhEWs5xtK2MHpoztq6awl0bsAdocQRoiSgrotoURFRJAUKSSP0pk6SiEkIjLaTNvcVn4dip6FpbQvhnLzf+H2QTOFSQfFy2gXcGTNowJj/+PB8tmE908QmfzRCMHvfUkqCORFQdxXBiE+XHN1KOaOxFSkK0ukTmuD6Gq6dPZc//Xm+WHotGchJt89qcZSXeksrAlqOEr3p7VxBXGeVn810X/3MRTak2+DdBpUy8zm96RNdelH63gn0jr6BrWhrh8YkcPrAH6ubgAAANbUlEQVQHkzmYrG+/ajwv62AGkf98lC3ffAvF8jyY5HZTnOtdH7FN44S8g/Cst5GLmDwax7FcAP7zhjzv0e/qaRStWsqqF54kvtsHPnv2tgeXtCLXedzbzFY3LhW8GxPmc3x5B1lB6uxuRh4uY1K9m7uiIqn3dFDHmfQs9kxLxVZYORmuJbG4lmF/aBm5bMzDk5EkWjV3nAlOz1PZG2EiusyGqslLPt/iotd72xnzt3GtXC0z5Anf7cxuTZAY9v4X1ARr+XDwaIZ0VSOEYPJ7f8L0+jIK87pz3bq9VJkiuLbbmYWNDIxtqciTgptEe6xxUBKsZa5qI8nPPoQq0Mgd2h0Yru6J2tRyG7nG60aPYPL6f/K+I4lOJ6uJvGseQgj69tpJp1WriHprNULX8iXWxscTdd99ALhra9FbPsE4aBCP/fa3xL3yMn2P56F6dykTOziR90CRR1avPPcMhvpqmLEBfXIyN6/7lDlf2nCrAnCpdehMWvjL3NMqk6uG9iHtnvlIQiAJOWqCSyUa/+qdLlJ/+B5NWNipM2tG2qTp5D7/FMa6SlS4Ud2xgKLj+ag3rCYvPInwiuPE3XozMSmpVMaPRvrpAHHWfGo1Br6OvYK0qsPUDJ/Gv28fxf0PvYbh0DZcKjVOlRqVW8KlEpT0HI0q3MLh/ZnUBMfRKzoQw9bl2PqP55mbxxAWqOXVrzJIsh6lUB+FvddYHrumDz/mlvDPxdsYWr6Zw4GdqFMZCJAchNvLiKnPp16tQ0gSZVr5d2eau9LRepyEumN0qZU9QHYG96Fn1X7qVTqCXDXUqo24UOFSqanQhHDQlEpi3TGOGuKp0gQxreALdgX3oUgbiU2l45qC5WwOGcSEtC5+yy8iPoF9QkN5wTE2F/j3NEkPH8Go0g1818TkdtiYTKa5G51rswm3lxLsrELnbtnpKfEo8absWrXUe/z40XZX5KK1qGrnkwEDBkg7duw49YnnyP+W/cC9wUZiSm0Y7S6yo729A1OdmzqtYNqOIibW2Og+LpWOw7sx5v3v2Jdg5qnv8rlpwVX0WbGD4mAtT2fls9wdwnxjNVfMbVuJniv9F2/mRLjcy+xUWMv3M4c2HpMkCclmQ3WWG7g6iospev8jYubfifBM2DkKC8l94gUS/zIPZ0kJ+h49Go+dLs/c+hRfDL8Cg81OUE0tb14WS/igvgCsuf529gRGM//lvzT2nk8Xe94J9k+cjjEmii5frzj1BW3grq1FFRiI22ol/6G/EXXfnwmI8bqLln/8CZqoKMyjZBum5HBgP3oUR2Ehzvx8dJ07Y+jVMnaOPySnk7o9exFqFZLTiTosDJxOVEYjbrsdbWLiKU00Z0rDu1zvcGPQys+v1uakxubkcGENapUgLSaIE+V1pMXIQ9F9JypZk1mIW5JwuSW+zy6hU5SJP1yRTFyYgUMF1QxIDKPG5uS2D3bwwPhu9IyT555uWbSDNZmFXNMvjn9O74nWMwJef7CIOe9uZ+7QRG4f0Ym9eZX839K9FFV7J5T7dwzF6Zb4x9QevLHhCKv25nNKJAmEQAj5K8Bdo1J4dW0WISYDPeNDiA7W89HWYyAEOU9M9NuxOlxYzTVPr+C6roEM6xhIvCWcv644RD+LlhX7ijmhj5HvI7l5bkQwWzIOsaIsmDq17+giwO2go/UoDlUAJdpwQh0VGF1WRqly2eSMRSBhFwFEOEq5qlsUyw5Wsyu4D9lPTESjPjuHQSHETkmSBrRIv5QV+YGdh7myqpZ5WQXs0OvYkuhtBVceq8JdZ6f3TcPQmby9ukPpu9m0JYfZ909BHaBh9utfs7prB76PCiYuNgJdiP8A9e3Jd6//j4cC4zgYH8T1e3J4/u7pp77oAlO7eTPlH3+CymxCbQ4i6t75iADZrmnPO4Et6wDmMa1PEraF/ehR1MHBqFvsE6pwIZEkqdVR6NHSWjqGe0db1fUOduSWE2wMwKTT0Nni+x6tySxk0+Fi9p+s4uUb+vLXz/fSKzaY937I5bqB8WjUgg0Hi7luYDyTe8eg06hwS1BYVc+45zdy9+hU5o/tzJrMQm5ZtINXbujLpF4xzcUCoNLqoPff294J7JkZvbh/sW8Mnok9O/Cva/uwaHMuL32bTY2tbfNma7Ql26n4VSpygMK9RwnvEsMrS77nSYusCGYcKeSVP5xq93IZa2k5+zf8yMDpzTcMOL84S0vJ/+xzLFdPQBt/ajuhgsKvldySWmJCDGg1KtxuiZySGlKiWu9wSZLEk19n8eYG2dYdH2Ygv6KeuFADapXgrVkD6BRp4ouMk9z10Y8AXD8ongVXp2HSaRrzeHNjDk9+JS+Yuiw5nM05pf5v2IQ5lyfy8KS0szbB/moVeQNut5uVG3YxYVgfAjSX9NSAgoJCO+F0ubG73BgC1H5NYcfLrNhdbjpFmsgtqeWn0lo2Hiqms8WM1e5iWGoEn+/K43iZle4xwfxxZKdzMqmdF0UuhPgt8AjQDRgkSdJpaecLocgVFBQUfum0psjPdYn+PmA6sPEc81FQUFBQOEvOycYgSdIBoN1n3xUUFBQUTp9LOmiWgoKCwq+BU/bIhRBrgQ5+Di2QJGn56d5ICHErcCtAQkLre1MqKCgoKJwZp1TkkiSdnfNvy3zeAt4CebKzPfJUUFBQUFBMKwoKCgq/eM5JkQshpgkh8oDLgFVCiNXtI5aCgoKCwulyrl4rS4GlpzxRQUFBQeG8cUFWdgohioGjpzzx/BABPqG5LzYU+c4NRb5zQ5Hv3DmfMnaUJCmyeeIFUeQXEiHEDn8roy4WFPnODUW+c0OR79y5EDIqk50KCgoKv3AURa6goKDwC+fXqMhb31vs4kCR79xQ5Ds3FPnOnZ9dxl+djVxBQUHhUuPX2CNXUFBQuKRQFLmCgoLCL5xLUpELIXKFEHuFELuFEDs8aWFCiDVCiMOev6GedCGEeEkIkS2E2COE6HeeZevikavhUyWEuEcI8YgQ4kST9IlNrnnQI99BIcTp7VF3ZjK9I4QoEkLsa5J2xuUlhJjtOf+wEGL2eZbvGSFElkeGpUKIEE96ohCirkk5vtHkmv6eepHt+Q3tEn+5FfnO+HkKIcZ70rKFEA+0h2xtyPdJE9lyhRC7PekXovzihRDrhBAHhBD7hRB3e9IvijrYhnwXTR30bKB6aX2AXCCiWdrTwAOe7w8AT3m+TwS+AgQwBNj6M8qpBgqAjsg7Ld3n55w0IAPQAUnAEUDdznIMB/oB+862vIAwIMfzN9TzPfQ8yjcO0Hi+P9VEvsSm5zXLZxtyOAnh+Q0TzqN8Z/Q8PZ8jQDKg9ZyTdr7ka3b8OeDhC1h+0UA/z3czcMhTThdFHWxDvoumDl6SPfJWmAq87/n+PvCbJumLJJktQIgQIvpnkmk0cESSpLZWuU4FPpYkySZJ0k9ANjCoPYWQJGkjUObnvmdSXlcBayRJKpMkqRxYA4w/X/JJkvSNJEkN25hvAeLaysMjY5AkSZsl+Y1a1OQ3tbt8bdDa8xwEZEuSlCNJkh342HPueZXP0yO8FviorTzOc/nlS5K0y/O9GjgAxHKR1MHW5LuY6uClqsgl4BshxE4hx0EHsEiSlA/ygwGiPOmxwPEm1+Z50n4OZuL7As3zDNPeaRhGXkD5zrS8LmQ5/h65d9NAkhDiRyHEBiHEME9arEemn1O+M3meF6r8hgGFkiQdbpJ2wcpPCJEI9AW2chHWwWbyNeWC1sFLVZEPlSSpHzABuFMIMbyNc/3ZqM67T6YQQgtMAT7zJL0OdAL6APnIw90LJl8btCbPhSrHBYAT+NCTlA8kSJLUF7gX+J8QIugCyHemz/NCPefr8e1MXLDyE0KYgM+BeyRJqmrr1FZkOa8ytibfxVAHL0lFLknSSc/fIuTojIOAwgaTiedvkef0PCC+yeVxwMmfQcwJwC5Jkgo9shZKkuSSJMkNvI3XfHKh5DvT8vrZ5fRMZk0CbvQMVfGYLEo933ci2507e+RrOvQ9r/KdxfO8EOWnQd48/ZMmcl+Q8hNCBCAryQ8lSVriSb5o6mAr8l00dfCSU+RCiEAhhLnhO/KExD7gC6BhFns20LBN3RfALM9M+BCgsmE4d57x6Qk1s8tPQ5a5Qb6ZQgidECIJSEWeMDnfnGl5rQbGCSFCPWaEcZ6084IQYjzwV2CKJEnWJumRQgi153sycnnleGSsFkIM8diFZzX5TedDvjN9ntuBVCFEkme0NtNz7vlkDJAlSVLjcP9ClJ8nv/8AByRJ+leTQxdFHWxNvouqDrbHjOnF9EGe9c/wfPYj7y0KEA58Cxz2/A3zpAvgVeRWcy8w4GeQ0QiUAsFN0j7w3H8PckWNbnJsgUe+g7TTLHczeT5CHg46kHsNN59NeSHbCbM9n7nnWb5sZHvobs/nDc+513ieewawC5jcJJ8ByAr1CPAKnpXN50m+M36eyN4YhzzHFpzP8vOkvwfc3uzcC1F+VyCbGPY0eZ4TL5Y62IZ8F00dVJboKygoKPzCueRMKwoKCgq/NhRFrqCgoPALR1HkCgoKCr9wFEWuoKCg8AtHUeQKCgoKv3AURa6goKDwC0dR5AoKCgq/cP4fsZ1pXuxn71wAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Augmentation for all Spectra (X10)\n",
    "X = df_s[0:1]\n",
    "#Repeating the spectrum 10x\n",
    "X = np.repeat(X, repeats=10, axis=0)\n",
    "#Augment (Large pertubations for illustration)\n",
    "X_aug = dataaugment(X, betashift = 0.5, slopeshift = 0.5,multishift = 0.5)\n",
    "    \n",
    "plt.plot(df_j['wavenumber'], X_aug.T)\n",
    "_= plt.plot(df_j['wavenumber'], X.T, lw=3, c='b')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "390\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# data augmentation\n",
    "# The idea is to simulate the expected form of irrelevant noise (here baseline offset and slope and overall spectrum intensity)\n",
    "from ChemUtils import dataaugment\n",
    "\n",
    "#Repeating the spectrum 10x\n",
    "X = np.repeat(df_s, repeats=10, axis=0)\n",
    "#Augment (with 40% for offset and multiplication, 20% of slopeshift)\n",
    "X_aug = dataaugment(X, betashift = 0.4, slopeshift = 0.2,multishift = 0.4)\n",
    "y_aug = np.repeat(y, repeats=10)\n",
    "    \n",
    "print(len(X_aug))\n",
    "_= plt.plot(df_j['wavenumber'], X_aug.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "metadata": {},
   "outputs": [],
   "source": [
    "type(X_aug)\n",
    "df_x = pd.DataFrame(X_aug) # convert to pd.DataFrame\n",
    "df_y = y_aug"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 382,
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>1891</th>\n",
       "      <th>1892</th>\n",
       "      <th>1893</th>\n",
       "      <th>1894</th>\n",
       "      <th>1895</th>\n",
       "      <th>1896</th>\n",
       "      <th>1897</th>\n",
       "      <th>1898</th>\n",
       "      <th>1899</th>\n",
       "      <th>1900</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.543335</td>\n",
       "      <td>0.542685</td>\n",
       "      <td>0.494366</td>\n",
       "      <td>0.432208</td>\n",
       "      <td>0.376201</td>\n",
       "      <td>0.351168</td>\n",
       "      <td>0.365894</td>\n",
       "      <td>0.392923</td>\n",
       "      <td>0.42039</td>\n",
       "      <td>0.445661</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.542851</td>\n",
       "      <td>-0.553386</td>\n",
       "      <td>-0.576443</td>\n",
       "      <td>-0.472749</td>\n",
       "      <td>-0.411013</td>\n",
       "      <td>-0.444833</td>\n",
       "      <td>-0.505014</td>\n",
       "      <td>-0.536638</td>\n",
       "      <td>-0.535531</td>\n",
       "      <td>-0.524538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.534722</td>\n",
       "      <td>0.534027</td>\n",
       "      <td>0.489793</td>\n",
       "      <td>0.432918</td>\n",
       "      <td>0.381661</td>\n",
       "      <td>0.358695</td>\n",
       "      <td>0.372045</td>\n",
       "      <td>0.396631</td>\n",
       "      <td>0.421619</td>\n",
       "      <td>0.4446</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.648388</td>\n",
       "      <td>-0.658111</td>\n",
       "      <td>-0.679272</td>\n",
       "      <td>-0.584661</td>\n",
       "      <td>-0.528374</td>\n",
       "      <td>-0.559365</td>\n",
       "      <td>-0.614435</td>\n",
       "      <td>-0.64342</td>\n",
       "      <td>-0.64251</td>\n",
       "      <td>-0.63257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.965621</td>\n",
       "      <td>0.964979</td>\n",
       "      <td>0.914744</td>\n",
       "      <td>0.85011</td>\n",
       "      <td>0.791876</td>\n",
       "      <td>0.765866</td>\n",
       "      <td>0.781222</td>\n",
       "      <td>0.809376</td>\n",
       "      <td>0.837987</td>\n",
       "      <td>0.864312</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0996452</td>\n",
       "      <td>-0.110572</td>\n",
       "      <td>-0.134525</td>\n",
       "      <td>-0.0266104</td>\n",
       "      <td>0.0376528</td>\n",
       "      <td>0.00250114</td>\n",
       "      <td>-0.0600754</td>\n",
       "      <td>-0.0929417</td>\n",
       "      <td>-0.0917555</td>\n",
       "      <td>-0.080285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.753673</td>\n",
       "      <td>0.752969</td>\n",
       "      <td>0.703173</td>\n",
       "      <td>0.639126</td>\n",
       "      <td>0.581413</td>\n",
       "      <td>0.555597</td>\n",
       "      <td>0.570728</td>\n",
       "      <td>0.598528</td>\n",
       "      <td>0.62678</td>\n",
       "      <td>0.65277</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.431184</td>\n",
       "      <td>-0.442068</td>\n",
       "      <td>-0.465848</td>\n",
       "      <td>-0.359096</td>\n",
       "      <td>-0.295553</td>\n",
       "      <td>-0.330417</td>\n",
       "      <td>-0.392428</td>\n",
       "      <td>-0.425031</td>\n",
       "      <td>-0.423925</td>\n",
       "      <td>-0.41264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.64544</td>\n",
       "      <td>0.644728</td>\n",
       "      <td>0.587494</td>\n",
       "      <td>0.513851</td>\n",
       "      <td>0.447501</td>\n",
       "      <td>0.417876</td>\n",
       "      <td>0.435396</td>\n",
       "      <td>0.467502</td>\n",
       "      <td>0.500129</td>\n",
       "      <td>0.530151</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.532619</td>\n",
       "      <td>-0.545052</td>\n",
       "      <td>-0.572333</td>\n",
       "      <td>-0.449324</td>\n",
       "      <td>-0.376065</td>\n",
       "      <td>-0.416108</td>\n",
       "      <td>-0.487407</td>\n",
       "      <td>-0.524845</td>\n",
       "      <td>-0.523474</td>\n",
       "      <td>-0.510383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.616838</td>\n",
       "      <td>0.616166</td>\n",
       "      <td>0.574312</td>\n",
       "      <td>0.520502</td>\n",
       "      <td>0.472006</td>\n",
       "      <td>0.450269</td>\n",
       "      <td>0.462882</td>\n",
       "      <td>0.486122</td>\n",
       "      <td>0.509743</td>\n",
       "      <td>0.531465</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.529401</td>\n",
       "      <td>-0.538613</td>\n",
       "      <td>-0.558642</td>\n",
       "      <td>-0.469168</td>\n",
       "      <td>-0.415942</td>\n",
       "      <td>-0.44527</td>\n",
       "      <td>-0.497372</td>\n",
       "      <td>-0.524803</td>\n",
       "      <td>-0.523956</td>\n",
       "      <td>-0.514569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.671104</td>\n",
       "      <td>0.670495</td>\n",
       "      <td>0.620006</td>\n",
       "      <td>0.555035</td>\n",
       "      <td>0.496501</td>\n",
       "      <td>0.470378</td>\n",
       "      <td>0.48586</td>\n",
       "      <td>0.514214</td>\n",
       "      <td>0.543028</td>\n",
       "      <td>0.569544</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.32966</td>\n",
       "      <td>-0.340612</td>\n",
       "      <td>-0.364667</td>\n",
       "      <td>-0.25609</td>\n",
       "      <td>-0.191416</td>\n",
       "      <td>-0.226735</td>\n",
       "      <td>-0.289636</td>\n",
       "      <td>-0.322656</td>\n",
       "      <td>-0.321425</td>\n",
       "      <td>-0.309851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.261043</td>\n",
       "      <td>0.260589</td>\n",
       "      <td>0.231489</td>\n",
       "      <td>0.194071</td>\n",
       "      <td>0.16035</td>\n",
       "      <td>0.145243</td>\n",
       "      <td>0.154031</td>\n",
       "      <td>0.170212</td>\n",
       "      <td>0.186656</td>\n",
       "      <td>0.201781</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.510014</td>\n",
       "      <td>-0.516408</td>\n",
       "      <td>-0.530327</td>\n",
       "      <td>-0.468073</td>\n",
       "      <td>-0.431034</td>\n",
       "      <td>-0.451421</td>\n",
       "      <td>-0.487651</td>\n",
       "      <td>-0.506718</td>\n",
       "      <td>-0.506115</td>\n",
       "      <td>-0.499572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.544763</td>\n",
       "      <td>0.543954</td>\n",
       "      <td>0.48864</td>\n",
       "      <td>0.417501</td>\n",
       "      <td>0.353396</td>\n",
       "      <td>0.324706</td>\n",
       "      <td>0.341478</td>\n",
       "      <td>0.372317</td>\n",
       "      <td>0.403657</td>\n",
       "      <td>0.432486</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.822511</td>\n",
       "      <td>-0.834624</td>\n",
       "      <td>-0.861053</td>\n",
       "      <td>-0.742555</td>\n",
       "      <td>-0.672031</td>\n",
       "      <td>-0.710768</td>\n",
       "      <td>-0.779646</td>\n",
       "      <td>-0.815871</td>\n",
       "      <td>-0.814671</td>\n",
       "      <td>-0.802169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.14838</td>\n",
       "      <td>0.148128</td>\n",
       "      <td>0.122752</td>\n",
       "      <td>0.0900817</td>\n",
       "      <td>0.0606532</td>\n",
       "      <td>0.04755</td>\n",
       "      <td>0.0554035</td>\n",
       "      <td>0.0697407</td>\n",
       "      <td>0.0843095</td>\n",
       "      <td>0.0977205</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.251414</td>\n",
       "      <td>-0.256876</td>\n",
       "      <td>-0.268937</td>\n",
       "      <td>-0.214191</td>\n",
       "      <td>-0.181561</td>\n",
       "      <td>-0.199295</td>\n",
       "      <td>-0.230923</td>\n",
       "      <td>-0.2475</td>\n",
       "      <td>-0.246825</td>\n",
       "      <td>-0.24094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.603251</td>\n",
       "      <td>0.60227</td>\n",
       "      <td>0.543835</td>\n",
       "      <td>0.468543</td>\n",
       "      <td>0.401323</td>\n",
       "      <td>0.37019</td>\n",
       "      <td>0.387015</td>\n",
       "      <td>0.419034</td>\n",
       "      <td>0.44583</td>\n",
       "      <td>0.447698</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.407098</td>\n",
       "      <td>-0.451763</td>\n",
       "      <td>-0.494055</td>\n",
       "      <td>-0.494086</td>\n",
       "      <td>-0.48842</td>\n",
       "      <td>-0.469221</td>\n",
       "      <td>-0.460468</td>\n",
       "      <td>-0.491601</td>\n",
       "      <td>-0.494244</td>\n",
       "      <td>-0.48834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.538224</td>\n",
       "      <td>0.53741</td>\n",
       "      <td>0.482571</td>\n",
       "      <td>0.411883</td>\n",
       "      <td>0.348784</td>\n",
       "      <td>0.319619</td>\n",
       "      <td>0.335548</td>\n",
       "      <td>0.365765</td>\n",
       "      <td>0.391071</td>\n",
       "      <td>0.392936</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.205807</td>\n",
       "      <td>-0.247698</td>\n",
       "      <td>-0.287355</td>\n",
       "      <td>-0.287276</td>\n",
       "      <td>-0.281839</td>\n",
       "      <td>-0.263677</td>\n",
       "      <td>-0.255338</td>\n",
       "      <td>-0.284504</td>\n",
       "      <td>-0.28688</td>\n",
       "      <td>-0.28122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.73157</td>\n",
       "      <td>0.730971</td>\n",
       "      <td>0.691185</td>\n",
       "      <td>0.639903</td>\n",
       "      <td>0.594126</td>\n",
       "      <td>0.572961</td>\n",
       "      <td>0.584507</td>\n",
       "      <td>0.606415</td>\n",
       "      <td>0.624761</td>\n",
       "      <td>0.626105</td>\n",
       "      <td>...</td>\n",
       "      <td>0.174699</td>\n",
       "      <td>0.144305</td>\n",
       "      <td>0.11553</td>\n",
       "      <td>0.115579</td>\n",
       "      <td>0.119513</td>\n",
       "      <td>0.132678</td>\n",
       "      <td>0.138717</td>\n",
       "      <td>0.117553</td>\n",
       "      <td>0.11582</td>\n",
       "      <td>0.119917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.228553</td>\n",
       "      <td>0.227874</td>\n",
       "      <td>0.179946</td>\n",
       "      <td>0.118156</td>\n",
       "      <td>0.0630036</td>\n",
       "      <td>0.0375288</td>\n",
       "      <td>0.0514937</td>\n",
       "      <td>0.0779543</td>\n",
       "      <td>0.10012</td>\n",
       "      <td>0.101784</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.359496</td>\n",
       "      <td>-0.3961</td>\n",
       "      <td>-0.430751</td>\n",
       "      <td>-0.430649</td>\n",
       "      <td>-0.42586</td>\n",
       "      <td>-0.409943</td>\n",
       "      <td>-0.402617</td>\n",
       "      <td>-0.428091</td>\n",
       "      <td>-0.430137</td>\n",
       "      <td>-0.425153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.420988</td>\n",
       "      <td>0.420301</td>\n",
       "      <td>0.380738</td>\n",
       "      <td>0.32977</td>\n",
       "      <td>0.284263</td>\n",
       "      <td>0.263174</td>\n",
       "      <td>0.274536</td>\n",
       "      <td>0.296179</td>\n",
       "      <td>0.314287</td>\n",
       "      <td>0.315528</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.306028</td>\n",
       "      <td>-0.336274</td>\n",
       "      <td>-0.364913</td>\n",
       "      <td>-0.364957</td>\n",
       "      <td>-0.361146</td>\n",
       "      <td>-0.348178</td>\n",
       "      <td>-0.342279</td>\n",
       "      <td>-0.363367</td>\n",
       "      <td>-0.365179</td>\n",
       "      <td>-0.361207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.313897</td>\n",
       "      <td>0.313104</td>\n",
       "      <td>0.264324</td>\n",
       "      <td>0.201466</td>\n",
       "      <td>0.14535</td>\n",
       "      <td>0.119374</td>\n",
       "      <td>0.133453</td>\n",
       "      <td>0.160223</td>\n",
       "      <td>0.18263</td>\n",
       "      <td>0.184216</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.479674</td>\n",
       "      <td>-0.516953</td>\n",
       "      <td>-0.552248</td>\n",
       "      <td>-0.552248</td>\n",
       "      <td>-0.547489</td>\n",
       "      <td>-0.531427</td>\n",
       "      <td>-0.52409</td>\n",
       "      <td>-0.550066</td>\n",
       "      <td>-0.552247</td>\n",
       "      <td>-0.547289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.270864</td>\n",
       "      <td>0.269873</td>\n",
       "      <td>0.204872</td>\n",
       "      <td>0.12109</td>\n",
       "      <td>0.0463021</td>\n",
       "      <td>0.0117188</td>\n",
       "      <td>0.0305661</td>\n",
       "      <td>0.0663417</td>\n",
       "      <td>0.0962982</td>\n",
       "      <td>0.0984814</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.661151</td>\n",
       "      <td>-0.710811</td>\n",
       "      <td>-0.757826</td>\n",
       "      <td>-0.757759</td>\n",
       "      <td>-0.751344</td>\n",
       "      <td>-0.729852</td>\n",
       "      <td>-0.719998</td>\n",
       "      <td>-0.754581</td>\n",
       "      <td>-0.757423</td>\n",
       "      <td>-0.750743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.128288</td>\n",
       "      <td>0.127514</td>\n",
       "      <td>0.0788055</td>\n",
       "      <td>0.0160327</td>\n",
       "      <td>-0.0400052</td>\n",
       "      <td>-0.0659348</td>\n",
       "      <td>-0.0518519</td>\n",
       "      <td>-0.0250917</td>\n",
       "      <td>-0.00268934</td>\n",
       "      <td>-0.0010856</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.628657</td>\n",
       "      <td>-0.665877</td>\n",
       "      <td>-0.701116</td>\n",
       "      <td>-0.701097</td>\n",
       "      <td>-0.696324</td>\n",
       "      <td>-0.68026</td>\n",
       "      <td>-0.672912</td>\n",
       "      <td>-0.698842</td>\n",
       "      <td>-0.701002</td>\n",
       "      <td>-0.69603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.702004</td>\n",
       "      <td>0.701331</td>\n",
       "      <td>0.653974</td>\n",
       "      <td>0.592921</td>\n",
       "      <td>0.538427</td>\n",
       "      <td>0.513255</td>\n",
       "      <td>0.527049</td>\n",
       "      <td>0.553189</td>\n",
       "      <td>0.575085</td>\n",
       "      <td>0.576726</td>\n",
       "      <td>...</td>\n",
       "      <td>0.114827</td>\n",
       "      <td>0.0786587</td>\n",
       "      <td>0.0444197</td>\n",
       "      <td>0.0445176</td>\n",
       "      <td>0.0492453</td>\n",
       "      <td>0.0649685</td>\n",
       "      <td>0.0722039</td>\n",
       "      <td>0.0470313</td>\n",
       "      <td>0.0450074</td>\n",
       "      <td>0.0499279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.0311791</td>\n",
       "      <td>0.0306254</td>\n",
       "      <td>0.000498915</td>\n",
       "      <td>-0.0383039</td>\n",
       "      <td>-0.0729517</td>\n",
       "      <td>-0.0890251</td>\n",
       "      <td>-0.0804137</td>\n",
       "      <td>-0.0639815</td>\n",
       "      <td>-0.0502377</td>\n",
       "      <td>-0.049325</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.580919</td>\n",
       "      <td>-0.603958</td>\n",
       "      <td>-0.625775</td>\n",
       "      <td>-0.625839</td>\n",
       "      <td>-0.622972</td>\n",
       "      <td>-0.613138</td>\n",
       "      <td>-0.608682</td>\n",
       "      <td>-0.624755</td>\n",
       "      <td>-0.626164</td>\n",
       "      <td>-0.623174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1.58201</td>\n",
       "      <td>1.55693</td>\n",
       "      <td>1.46631</td>\n",
       "      <td>1.35663</td>\n",
       "      <td>1.25516</td>\n",
       "      <td>1.19234</td>\n",
       "      <td>1.17944</td>\n",
       "      <td>1.18229</td>\n",
       "      <td>1.18607</td>\n",
       "      <td>1.18998</td>\n",
       "      <td>...</td>\n",
       "      <td>0.188565</td>\n",
       "      <td>0.188637</td>\n",
       "      <td>0.188709</td>\n",
       "      <td>0.188782</td>\n",
       "      <td>0.188854</td>\n",
       "      <td>0.188926</td>\n",
       "      <td>0.188999</td>\n",
       "      <td>0.219654</td>\n",
       "      <td>0.238526</td>\n",
       "      <td>0.197954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1.38697</td>\n",
       "      <td>1.35465</td>\n",
       "      <td>1.238</td>\n",
       "      <td>1.09683</td>\n",
       "      <td>0.966223</td>\n",
       "      <td>0.885354</td>\n",
       "      <td>0.868706</td>\n",
       "      <td>0.872329</td>\n",
       "      <td>0.877145</td>\n",
       "      <td>0.882132</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.494603</td>\n",
       "      <td>-0.494557</td>\n",
       "      <td>-0.494511</td>\n",
       "      <td>-0.494465</td>\n",
       "      <td>-0.494418</td>\n",
       "      <td>-0.494372</td>\n",
       "      <td>-0.494326</td>\n",
       "      <td>-0.45493</td>\n",
       "      <td>-0.430694</td>\n",
       "      <td>-0.482945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2.35704</td>\n",
       "      <td>2.31725</td>\n",
       "      <td>2.17381</td>\n",
       "      <td>2.00022</td>\n",
       "      <td>1.83962</td>\n",
       "      <td>1.74015</td>\n",
       "      <td>1.71963</td>\n",
       "      <td>1.72402</td>\n",
       "      <td>1.72987</td>\n",
       "      <td>1.73594</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0758583</td>\n",
       "      <td>-0.0758651</td>\n",
       "      <td>-0.0758718</td>\n",
       "      <td>-0.0758786</td>\n",
       "      <td>-0.0758854</td>\n",
       "      <td>-0.0758922</td>\n",
       "      <td>-0.0758989</td>\n",
       "      <td>-0.0275377</td>\n",
       "      <td>0.00218829</td>\n",
       "      <td>-0.0620998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2.47882</td>\n",
       "      <td>2.43169</td>\n",
       "      <td>2.26203</td>\n",
       "      <td>2.05672</td>\n",
       "      <td>1.86675</td>\n",
       "      <td>1.74908</td>\n",
       "      <td>1.72473</td>\n",
       "      <td>1.72984</td>\n",
       "      <td>1.73668</td>\n",
       "      <td>1.74378</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.547616</td>\n",
       "      <td>-0.547703</td>\n",
       "      <td>-0.547791</td>\n",
       "      <td>-0.547878</td>\n",
       "      <td>-0.547965</td>\n",
       "      <td>-0.548053</td>\n",
       "      <td>-0.54814</td>\n",
       "      <td>-0.491042</td>\n",
       "      <td>-0.455976</td>\n",
       "      <td>-0.532063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2.56228</td>\n",
       "      <td>2.51578</td>\n",
       "      <td>2.34792</td>\n",
       "      <td>2.14476</td>\n",
       "      <td>1.95679</td>\n",
       "      <td>1.84042</td>\n",
       "      <td>1.81646</td>\n",
       "      <td>1.82168</td>\n",
       "      <td>1.82861</td>\n",
       "      <td>1.83579</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.140453</td>\n",
       "      <td>-0.140384</td>\n",
       "      <td>-0.140315</td>\n",
       "      <td>-0.140245</td>\n",
       "      <td>-0.140176</td>\n",
       "      <td>-0.140107</td>\n",
       "      <td>-0.140038</td>\n",
       "      <td>-0.0833392</td>\n",
       "      <td>-0.0484587</td>\n",
       "      <td>-0.123651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1.43916</td>\n",
       "      <td>1.41478</td>\n",
       "      <td>1.32691</td>\n",
       "      <td>1.22059</td>\n",
       "      <td>1.12221</td>\n",
       "      <td>1.06127</td>\n",
       "      <td>1.04869</td>\n",
       "      <td>1.05136</td>\n",
       "      <td>1.05492</td>\n",
       "      <td>1.05862</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.086069</td>\n",
       "      <td>-0.0860918</td>\n",
       "      <td>-0.0861146</td>\n",
       "      <td>-0.0861374</td>\n",
       "      <td>-0.0861602</td>\n",
       "      <td>-0.086183</td>\n",
       "      <td>-0.0862058</td>\n",
       "      <td>-0.0566069</td>\n",
       "      <td>-0.0384206</td>\n",
       "      <td>-0.0778109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2.0396</td>\n",
       "      <td>2.00611</td>\n",
       "      <td>1.88523</td>\n",
       "      <td>1.73892</td>\n",
       "      <td>1.60356</td>\n",
       "      <td>1.51975</td>\n",
       "      <td>1.50251</td>\n",
       "      <td>1.50627</td>\n",
       "      <td>1.51128</td>\n",
       "      <td>1.51645</td>\n",
       "      <td>...</td>\n",
       "      <td>0.108446</td>\n",
       "      <td>0.108504</td>\n",
       "      <td>0.108562</td>\n",
       "      <td>0.10862</td>\n",
       "      <td>0.108678</td>\n",
       "      <td>0.108736</td>\n",
       "      <td>0.108794</td>\n",
       "      <td>0.149636</td>\n",
       "      <td>0.174765</td>\n",
       "      <td>0.12062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2.08198</td>\n",
       "      <td>2.04933</td>\n",
       "      <td>1.93168</td>\n",
       "      <td>1.78932</td>\n",
       "      <td>1.65759</td>\n",
       "      <td>1.57601</td>\n",
       "      <td>1.55916</td>\n",
       "      <td>1.56274</td>\n",
       "      <td>1.56752</td>\n",
       "      <td>1.57247</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0482152</td>\n",
       "      <td>0.0481892</td>\n",
       "      <td>0.0481632</td>\n",
       "      <td>0.0481372</td>\n",
       "      <td>0.0481111</td>\n",
       "      <td>0.0480851</td>\n",
       "      <td>0.0480591</td>\n",
       "      <td>0.0876964</td>\n",
       "      <td>0.112052</td>\n",
       "      <td>0.0593134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2.2031</td>\n",
       "      <td>2.165</td>\n",
       "      <td>2.02756</td>\n",
       "      <td>1.86122</td>\n",
       "      <td>1.70733</td>\n",
       "      <td>1.61203</td>\n",
       "      <td>1.59239</td>\n",
       "      <td>1.59664</td>\n",
       "      <td>1.60229</td>\n",
       "      <td>1.60813</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0620236</td>\n",
       "      <td>-0.0619948</td>\n",
       "      <td>-0.0619661</td>\n",
       "      <td>-0.0619373</td>\n",
       "      <td>-0.0619086</td>\n",
       "      <td>-0.0618798</td>\n",
       "      <td>-0.0618511</td>\n",
       "      <td>-0.0154645</td>\n",
       "      <td>0.0130612</td>\n",
       "      <td>-0.0485197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1.1652</td>\n",
       "      <td>1.13531</td>\n",
       "      <td>1.02729</td>\n",
       "      <td>0.896528</td>\n",
       "      <td>0.775557</td>\n",
       "      <td>0.700679</td>\n",
       "      <td>0.685312</td>\n",
       "      <td>0.68873</td>\n",
       "      <td>0.693253</td>\n",
       "      <td>0.697934</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.464367</td>\n",
       "      <td>-0.464264</td>\n",
       "      <td>-0.464161</td>\n",
       "      <td>-0.464058</td>\n",
       "      <td>-0.463955</td>\n",
       "      <td>-0.463852</td>\n",
       "      <td>-0.463749</td>\n",
       "      <td>-0.427181</td>\n",
       "      <td>-0.404663</td>\n",
       "      <td>-0.453021</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",
       "      <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>360</th>\n",
       "      <td>0.637152</td>\n",
       "      <td>0.635023</td>\n",
       "      <td>0.585838</td>\n",
       "      <td>0.522781</td>\n",
       "      <td>0.464816</td>\n",
       "      <td>0.43073</td>\n",
       "      <td>0.427373</td>\n",
       "      <td>0.433672</td>\n",
       "      <td>0.440499</td>\n",
       "      <td>0.448554</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.364496</td>\n",
       "      <td>-0.329224</td>\n",
       "      <td>-0.315901</td>\n",
       "      <td>-0.331725</td>\n",
       "      <td>-0.344389</td>\n",
       "      <td>-0.35477</td>\n",
       "      <td>-0.369189</td>\n",
       "      <td>-0.376585</td>\n",
       "      <td>-0.351147</td>\n",
       "      <td>-0.302004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>0.379064</td>\n",
       "      <td>0.376815</td>\n",
       "      <td>0.324817</td>\n",
       "      <td>0.258154</td>\n",
       "      <td>0.196875</td>\n",
       "      <td>0.160841</td>\n",
       "      <td>0.157293</td>\n",
       "      <td>0.163954</td>\n",
       "      <td>0.171173</td>\n",
       "      <td>0.17969</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.677257</td>\n",
       "      <td>-0.639967</td>\n",
       "      <td>-0.62588</td>\n",
       "      <td>-0.642608</td>\n",
       "      <td>-0.655994</td>\n",
       "      <td>-0.666968</td>\n",
       "      <td>-0.682211</td>\n",
       "      <td>-0.690029</td>\n",
       "      <td>-0.663133</td>\n",
       "      <td>-0.611178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>0.542896</td>\n",
       "      <td>0.539968</td>\n",
       "      <td>0.472073</td>\n",
       "      <td>0.385028</td>\n",
       "      <td>0.305013</td>\n",
       "      <td>0.257965</td>\n",
       "      <td>0.25334</td>\n",
       "      <td>0.262048</td>\n",
       "      <td>0.271483</td>\n",
       "      <td>0.282614</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.820586</td>\n",
       "      <td>-0.77188</td>\n",
       "      <td>-0.753476</td>\n",
       "      <td>-0.775313</td>\n",
       "      <td>-0.792786</td>\n",
       "      <td>-0.807107</td>\n",
       "      <td>-0.827004</td>\n",
       "      <td>-0.837205</td>\n",
       "      <td>-0.802075</td>\n",
       "      <td>-0.734219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>0.658899</td>\n",
       "      <td>0.656636</td>\n",
       "      <td>0.602539</td>\n",
       "      <td>0.533163</td>\n",
       "      <td>0.469396</td>\n",
       "      <td>0.431932</td>\n",
       "      <td>0.428315</td>\n",
       "      <td>0.435336</td>\n",
       "      <td>0.442936</td>\n",
       "      <td>0.451891</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.290742</td>\n",
       "      <td>-0.251809</td>\n",
       "      <td>-0.237052</td>\n",
       "      <td>-0.254401</td>\n",
       "      <td>-0.268269</td>\n",
       "      <td>-0.279622</td>\n",
       "      <td>-0.295424</td>\n",
       "      <td>-0.30349</td>\n",
       "      <td>-0.275388</td>\n",
       "      <td>-0.221176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>0.819787</td>\n",
       "      <td>0.816973</td>\n",
       "      <td>0.751204</td>\n",
       "      <td>0.666878</td>\n",
       "      <td>0.589364</td>\n",
       "      <td>0.543796</td>\n",
       "      <td>0.539338</td>\n",
       "      <td>0.547799</td>\n",
       "      <td>0.556965</td>\n",
       "      <td>0.567775</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.457596</td>\n",
       "      <td>-0.410375</td>\n",
       "      <td>-0.392518</td>\n",
       "      <td>-0.413655</td>\n",
       "      <td>-0.430564</td>\n",
       "      <td>-0.444419</td>\n",
       "      <td>-0.463676</td>\n",
       "      <td>-0.473538</td>\n",
       "      <td>-0.439472</td>\n",
       "      <td>-0.373694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>0.557359</td>\n",
       "      <td>0.555354</td>\n",
       "      <td>0.506445</td>\n",
       "      <td>0.44371</td>\n",
       "      <td>0.386051</td>\n",
       "      <td>0.352194</td>\n",
       "      <td>0.348964</td>\n",
       "      <td>0.355359</td>\n",
       "      <td>0.36228</td>\n",
       "      <td>0.370425</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.220819</td>\n",
       "      <td>-0.185547</td>\n",
       "      <td>-0.17215</td>\n",
       "      <td>-0.187806</td>\n",
       "      <td>-0.200312</td>\n",
       "      <td>-0.210543</td>\n",
       "      <td>-0.224799</td>\n",
       "      <td>-0.232054</td>\n",
       "      <td>-0.206582</td>\n",
       "      <td>-0.157484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>0.951496</td>\n",
       "      <td>0.948585</td>\n",
       "      <td>0.882182</td>\n",
       "      <td>0.797063</td>\n",
       "      <td>0.718815</td>\n",
       "      <td>0.672786</td>\n",
       "      <td>0.668217</td>\n",
       "      <td>0.676678</td>\n",
       "      <td>0.68585</td>\n",
       "      <td>0.69668</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.473541</td>\n",
       "      <td>-0.425989</td>\n",
       "      <td>-0.408052</td>\n",
       "      <td>-0.429442</td>\n",
       "      <td>-0.446567</td>\n",
       "      <td>-0.460613</td>\n",
       "      <td>-0.480107</td>\n",
       "      <td>-0.490125</td>\n",
       "      <td>-0.455841</td>\n",
       "      <td>-0.389573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>0.610781</td>\n",
       "      <td>0.608135</td>\n",
       "      <td>0.547061</td>\n",
       "      <td>0.468763</td>\n",
       "      <td>0.396788</td>\n",
       "      <td>0.354463</td>\n",
       "      <td>0.350291</td>\n",
       "      <td>0.35811</td>\n",
       "      <td>0.366583</td>\n",
       "      <td>0.376583</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.63868</td>\n",
       "      <td>-0.594888</td>\n",
       "      <td>-0.578348</td>\n",
       "      <td>-0.597999</td>\n",
       "      <td>-0.613726</td>\n",
       "      <td>-0.626619</td>\n",
       "      <td>-0.644526</td>\n",
       "      <td>-0.653712</td>\n",
       "      <td>-0.622129</td>\n",
       "      <td>-0.561115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>0.518232</td>\n",
       "      <td>0.515307</td>\n",
       "      <td>0.444785</td>\n",
       "      <td>0.354336</td>\n",
       "      <td>0.271202</td>\n",
       "      <td>0.222371</td>\n",
       "      <td>0.21768</td>\n",
       "      <td>0.226862</td>\n",
       "      <td>0.2368</td>\n",
       "      <td>0.248504</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.670676</td>\n",
       "      <td>-0.619877</td>\n",
       "      <td>-0.600606</td>\n",
       "      <td>-0.623206</td>\n",
       "      <td>-0.641265</td>\n",
       "      <td>-0.656045</td>\n",
       "      <td>-0.676626</td>\n",
       "      <td>-0.687118</td>\n",
       "      <td>-0.650444</td>\n",
       "      <td>-0.579718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>0.362946</td>\n",
       "      <td>0.360851</td>\n",
       "      <td>0.310224</td>\n",
       "      <td>0.245291</td>\n",
       "      <td>0.18561</td>\n",
       "      <td>0.150557</td>\n",
       "      <td>0.147195</td>\n",
       "      <td>0.153792</td>\n",
       "      <td>0.160933</td>\n",
       "      <td>0.169342</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.480196</td>\n",
       "      <td>-0.443719</td>\n",
       "      <td>-0.429878</td>\n",
       "      <td>-0.446097</td>\n",
       "      <td>-0.459057</td>\n",
       "      <td>-0.469663</td>\n",
       "      <td>-0.484434</td>\n",
       "      <td>-0.491962</td>\n",
       "      <td>-0.465625</td>\n",
       "      <td>-0.414842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>2.10999</td>\n",
       "      <td>2.15104</td>\n",
       "      <td>2.21537</td>\n",
       "      <td>2.28698</td>\n",
       "      <td>2.36816</td>\n",
       "      <td>2.4876</td>\n",
       "      <td>2.65631</td>\n",
       "      <td>2.8402</td>\n",
       "      <td>3.01557</td>\n",
       "      <td>3.14727</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0884464</td>\n",
       "      <td>-0.0501031</td>\n",
       "      <td>-0.0290176</td>\n",
       "      <td>-0.0278931</td>\n",
       "      <td>-0.0579576</td>\n",
       "      <td>-0.0828239</td>\n",
       "      <td>-0.102492</td>\n",
       "      <td>-0.0797432</td>\n",
       "      <td>-0.0359938</td>\n",
       "      <td>0.0418556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>1.36405</td>\n",
       "      <td>1.38804</td>\n",
       "      <td>1.42566</td>\n",
       "      <td>1.46754</td>\n",
       "      <td>1.51502</td>\n",
       "      <td>1.58489</td>\n",
       "      <td>1.6836</td>\n",
       "      <td>1.7912</td>\n",
       "      <td>1.8938</td>\n",
       "      <td>1.97085</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0213874</td>\n",
       "      <td>0.0437984</td>\n",
       "      <td>0.0561091</td>\n",
       "      <td>0.0567376</td>\n",
       "      <td>0.0391126</td>\n",
       "      <td>0.0245299</td>\n",
       "      <td>0.0129895</td>\n",
       "      <td>0.0262737</td>\n",
       "      <td>0.0518486</td>\n",
       "      <td>0.0973806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>1.84386</td>\n",
       "      <td>1.88814</td>\n",
       "      <td>1.95758</td>\n",
       "      <td>2.03488</td>\n",
       "      <td>2.12252</td>\n",
       "      <td>2.2515</td>\n",
       "      <td>2.43372</td>\n",
       "      <td>2.63234</td>\n",
       "      <td>2.82175</td>\n",
       "      <td>2.96398</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.664156</td>\n",
       "      <td>-0.622797</td>\n",
       "      <td>-0.600084</td>\n",
       "      <td>-0.598939</td>\n",
       "      <td>-0.631494</td>\n",
       "      <td>-0.658431</td>\n",
       "      <td>-0.679752</td>\n",
       "      <td>-0.655243</td>\n",
       "      <td>-0.608043</td>\n",
       "      <td>-0.523998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>1.94359</td>\n",
       "      <td>1.9815</td>\n",
       "      <td>2.04097</td>\n",
       "      <td>2.10718</td>\n",
       "      <td>2.18223</td>\n",
       "      <td>2.29269</td>\n",
       "      <td>2.44876</td>\n",
       "      <td>2.61887</td>\n",
       "      <td>2.78109</td>\n",
       "      <td>2.90291</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.220185</td>\n",
       "      <td>-0.184769</td>\n",
       "      <td>-0.165324</td>\n",
       "      <td>-0.164352</td>\n",
       "      <td>-0.192243</td>\n",
       "      <td>-0.215323</td>\n",
       "      <td>-0.233593</td>\n",
       "      <td>-0.212609</td>\n",
       "      <td>-0.17219</td>\n",
       "      <td>-0.100213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>1.59771</td>\n",
       "      <td>1.64166</td>\n",
       "      <td>1.71055</td>\n",
       "      <td>1.78724</td>\n",
       "      <td>1.87418</td>\n",
       "      <td>2.00209</td>\n",
       "      <td>2.1828</td>\n",
       "      <td>2.37976</td>\n",
       "      <td>2.56759</td>\n",
       "      <td>2.70865</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.794463</td>\n",
       "      <td>-0.75341</td>\n",
       "      <td>-0.730843</td>\n",
       "      <td>-0.729658</td>\n",
       "      <td>-0.761882</td>\n",
       "      <td>-0.788539</td>\n",
       "      <td>-0.809627</td>\n",
       "      <td>-0.785278</td>\n",
       "      <td>-0.738434</td>\n",
       "      <td>-0.655062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>1.50157</td>\n",
       "      <td>1.53099</td>\n",
       "      <td>1.57714</td>\n",
       "      <td>1.62851</td>\n",
       "      <td>1.68676</td>\n",
       "      <td>1.77248</td>\n",
       "      <td>1.89361</td>\n",
       "      <td>2.02565</td>\n",
       "      <td>2.15156</td>\n",
       "      <td>2.2461</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.209977</td>\n",
       "      <td>-0.182503</td>\n",
       "      <td>-0.167425</td>\n",
       "      <td>-0.166687</td>\n",
       "      <td>-0.188355</td>\n",
       "      <td>-0.206288</td>\n",
       "      <td>-0.220487</td>\n",
       "      <td>-0.204215</td>\n",
       "      <td>-0.172856</td>\n",
       "      <td>-0.117001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>2.16039</td>\n",
       "      <td>2.21267</td>\n",
       "      <td>2.29472</td>\n",
       "      <td>2.38606</td>\n",
       "      <td>2.48962</td>\n",
       "      <td>2.64208</td>\n",
       "      <td>2.8575</td>\n",
       "      <td>3.09232</td>\n",
       "      <td>3.31625</td>\n",
       "      <td>3.48438</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.960993</td>\n",
       "      <td>-0.912161</td>\n",
       "      <td>-0.885382</td>\n",
       "      <td>-0.88411</td>\n",
       "      <td>-0.922693</td>\n",
       "      <td>-0.954633</td>\n",
       "      <td>-0.979931</td>\n",
       "      <td>-0.951027</td>\n",
       "      <td>-0.895287</td>\n",
       "      <td>-0.795972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>1.48352</td>\n",
       "      <td>1.51944</td>\n",
       "      <td>1.57584</td>\n",
       "      <td>1.63864</td>\n",
       "      <td>1.70985</td>\n",
       "      <td>1.81471</td>\n",
       "      <td>1.9629</td>\n",
       "      <td>2.12444</td>\n",
       "      <td>2.27848</td>\n",
       "      <td>2.39412</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.778398</td>\n",
       "      <td>-0.744853</td>\n",
       "      <td>-0.726485</td>\n",
       "      <td>-0.72567</td>\n",
       "      <td>-0.752282</td>\n",
       "      <td>-0.774323</td>\n",
       "      <td>-0.791792</td>\n",
       "      <td>-0.771961</td>\n",
       "      <td>-0.733662</td>\n",
       "      <td>-0.665377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>2.01633</td>\n",
       "      <td>2.06116</td>\n",
       "      <td>2.13148</td>\n",
       "      <td>2.20977</td>\n",
       "      <td>2.29853</td>\n",
       "      <td>2.42916</td>\n",
       "      <td>2.61372</td>\n",
       "      <td>2.8149</td>\n",
       "      <td>3.00675</td>\n",
       "      <td>3.15081</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.562632</td>\n",
       "      <td>-0.520756</td>\n",
       "      <td>-0.497769</td>\n",
       "      <td>-0.49663</td>\n",
       "      <td>-0.529627</td>\n",
       "      <td>-0.556935</td>\n",
       "      <td>-0.578553</td>\n",
       "      <td>-0.553745</td>\n",
       "      <td>-0.505953</td>\n",
       "      <td>-0.420838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>1.55386</td>\n",
       "      <td>1.59219</td>\n",
       "      <td>1.65226</td>\n",
       "      <td>1.71912</td>\n",
       "      <td>1.79492</td>\n",
       "      <td>1.90644</td>\n",
       "      <td>2.06396</td>\n",
       "      <td>2.23566</td>\n",
       "      <td>2.3994</td>\n",
       "      <td>2.52237</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.49309</td>\n",
       "      <td>-0.457286</td>\n",
       "      <td>-0.437597</td>\n",
       "      <td>-0.436544</td>\n",
       "      <td>-0.464611</td>\n",
       "      <td>-0.487825</td>\n",
       "      <td>-0.506186</td>\n",
       "      <td>-0.484943</td>\n",
       "      <td>-0.444092</td>\n",
       "      <td>-0.371403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>-0.0443184</td>\n",
       "      <td>-0.0440506</td>\n",
       "      <td>-0.0403975</td>\n",
       "      <td>-0.0356562</td>\n",
       "      <td>-0.0322448</td>\n",
       "      <td>-0.0340324</td>\n",
       "      <td>-0.0428326</td>\n",
       "      <td>-0.0533255</td>\n",
       "      <td>-0.0612793</td>\n",
       "      <td>-0.055208</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.592728</td>\n",
       "      <td>-0.574808</td>\n",
       "      <td>-0.568495</td>\n",
       "      <td>-0.581768</td>\n",
       "      <td>-0.596251</td>\n",
       "      <td>-0.595137</td>\n",
       "      <td>-0.594144</td>\n",
       "      <td>-0.557121</td>\n",
       "      <td>-0.518284</td>\n",
       "      <td>-0.52249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>0.631199</td>\n",
       "      <td>0.631752</td>\n",
       "      <td>0.639786</td>\n",
       "      <td>0.650225</td>\n",
       "      <td>0.657724</td>\n",
       "      <td>0.653735</td>\n",
       "      <td>0.63425</td>\n",
       "      <td>0.611024</td>\n",
       "      <td>0.593409</td>\n",
       "      <td>0.606786</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.654145</td>\n",
       "      <td>-0.614584</td>\n",
       "      <td>-0.600672</td>\n",
       "      <td>-0.630043</td>\n",
       "      <td>-0.662086</td>\n",
       "      <td>-0.659663</td>\n",
       "      <td>-0.657507</td>\n",
       "      <td>-0.575732</td>\n",
       "      <td>-0.48995</td>\n",
       "      <td>-0.499282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>0.46326</td>\n",
       "      <td>0.463597</td>\n",
       "      <td>0.468654</td>\n",
       "      <td>0.475228</td>\n",
       "      <td>0.479947</td>\n",
       "      <td>0.477419</td>\n",
       "      <td>0.465114</td>\n",
       "      <td>0.450449</td>\n",
       "      <td>0.439323</td>\n",
       "      <td>0.447752</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.369907</td>\n",
       "      <td>-0.344959</td>\n",
       "      <td>-0.336194</td>\n",
       "      <td>-0.354736</td>\n",
       "      <td>-0.374964</td>\n",
       "      <td>-0.373447</td>\n",
       "      <td>-0.372098</td>\n",
       "      <td>-0.320518</td>\n",
       "      <td>-0.266409</td>\n",
       "      <td>-0.272309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>0.00219245</td>\n",
       "      <td>0.00244612</td>\n",
       "      <td>0.00734612</td>\n",
       "      <td>0.0137396</td>\n",
       "      <td>0.0183077</td>\n",
       "      <td>0.0157405</td>\n",
       "      <td>0.00354873</td>\n",
       "      <td>-0.0109661</td>\n",
       "      <td>-0.0219962</td>\n",
       "      <td>-0.0137774</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.965692</td>\n",
       "      <td>-0.941212</td>\n",
       "      <td>-0.932661</td>\n",
       "      <td>-0.950992</td>\n",
       "      <td>-0.970983</td>\n",
       "      <td>-0.969568</td>\n",
       "      <td>-0.968319</td>\n",
       "      <td>-0.917619</td>\n",
       "      <td>-0.864431</td>\n",
       "      <td>-0.870317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>0.262973</td>\n",
       "      <td>0.263403</td>\n",
       "      <td>0.270637</td>\n",
       "      <td>0.280059</td>\n",
       "      <td>0.286807</td>\n",
       "      <td>0.283105</td>\n",
       "      <td>0.265309</td>\n",
       "      <td>0.244109</td>\n",
       "      <td>0.228014</td>\n",
       "      <td>0.240109</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.04441</td>\n",
       "      <td>-1.0085</td>\n",
       "      <td>-0.995916</td>\n",
       "      <td>-1.0227</td>\n",
       "      <td>-1.05192</td>\n",
       "      <td>-1.04979</td>\n",
       "      <td>-1.0479</td>\n",
       "      <td>-0.973596</td>\n",
       "      <td>-0.895643</td>\n",
       "      <td>-0.904205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>0.628603</td>\n",
       "      <td>0.62896</td>\n",
       "      <td>0.63355</td>\n",
       "      <td>0.6395</td>\n",
       "      <td>0.643788</td>\n",
       "      <td>0.641574</td>\n",
       "      <td>0.630592</td>\n",
       "      <td>0.617493</td>\n",
       "      <td>0.607569</td>\n",
       "      <td>0.615183</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.0158937</td>\n",
       "      <td>0.00653628</td>\n",
       "      <td>0.0144523</td>\n",
       "      <td>-0.002124</td>\n",
       "      <td>-0.0202121</td>\n",
       "      <td>-0.0187971</td>\n",
       "      <td>-0.0175333</td>\n",
       "      <td>0.0287841</td>\n",
       "      <td>0.0773693</td>\n",
       "      <td>0.0721321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>0.422706</td>\n",
       "      <td>0.423053</td>\n",
       "      <td>0.429119</td>\n",
       "      <td>0.437023</td>\n",
       "      <td>0.442681</td>\n",
       "      <td>0.439556</td>\n",
       "      <td>0.424586</td>\n",
       "      <td>0.406756</td>\n",
       "      <td>0.393216</td>\n",
       "      <td>0.403366</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.702219</td>\n",
       "      <td>-0.672054</td>\n",
       "      <td>-0.661494</td>\n",
       "      <td>-0.684022</td>\n",
       "      <td>-0.708591</td>\n",
       "      <td>-0.706814</td>\n",
       "      <td>-0.705241</td>\n",
       "      <td>-0.642806</td>\n",
       "      <td>-0.577308</td>\n",
       "      <td>-0.584517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>0.324082</td>\n",
       "      <td>0.324439</td>\n",
       "      <td>0.329835</td>\n",
       "      <td>0.336851</td>\n",
       "      <td>0.341887</td>\n",
       "      <td>0.339185</td>\n",
       "      <td>0.326044</td>\n",
       "      <td>0.310384</td>\n",
       "      <td>0.298503</td>\n",
       "      <td>0.307499</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.5708</td>\n",
       "      <td>-0.544168</td>\n",
       "      <td>-0.534812</td>\n",
       "      <td>-0.554612</td>\n",
       "      <td>-0.576211</td>\n",
       "      <td>-0.574594</td>\n",
       "      <td>-0.573157</td>\n",
       "      <td>-0.51809</td>\n",
       "      <td>-0.460322</td>\n",
       "      <td>-0.466624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>0.499991</td>\n",
       "      <td>0.500482</td>\n",
       "      <td>0.507896</td>\n",
       "      <td>0.517535</td>\n",
       "      <td>0.524455</td>\n",
       "      <td>0.520743</td>\n",
       "      <td>0.502692</td>\n",
       "      <td>0.481179</td>\n",
       "      <td>0.464858</td>\n",
       "      <td>0.477217</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.72774</td>\n",
       "      <td>-0.691151</td>\n",
       "      <td>-0.678298</td>\n",
       "      <td>-0.705497</td>\n",
       "      <td>-0.735169</td>\n",
       "      <td>-0.732947</td>\n",
       "      <td>-0.730972</td>\n",
       "      <td>-0.655321</td>\n",
       "      <td>-0.575961</td>\n",
       "      <td>-0.584617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>0.193507</td>\n",
       "      <td>0.194137</td>\n",
       "      <td>0.202206</td>\n",
       "      <td>0.212666</td>\n",
       "      <td>0.220204</td>\n",
       "      <td>0.216316</td>\n",
       "      <td>0.197018</td>\n",
       "      <td>0.173999</td>\n",
       "      <td>0.15656</td>\n",
       "      <td>0.169943</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.934459</td>\n",
       "      <td>-0.895036</td>\n",
       "      <td>-0.881122</td>\n",
       "      <td>-0.910252</td>\n",
       "      <td>-0.942039</td>\n",
       "      <td>-0.939549</td>\n",
       "      <td>-0.937326</td>\n",
       "      <td>-0.855921</td>\n",
       "      <td>-0.770531</td>\n",
       "      <td>-0.779733</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>390 rows × 1901 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           0           1            2          3          4          5     \\\n",
       "0      0.543335    0.542685     0.494366   0.432208   0.376201   0.351168   \n",
       "1      0.534722    0.534027     0.489793   0.432918   0.381661   0.358695   \n",
       "2      0.965621    0.964979     0.914744    0.85011   0.791876   0.765866   \n",
       "3      0.753673    0.752969     0.703173   0.639126   0.581413   0.555597   \n",
       "4       0.64544    0.644728     0.587494   0.513851   0.447501   0.417876   \n",
       "5      0.616838    0.616166     0.574312   0.520502   0.472006   0.450269   \n",
       "6      0.671104    0.670495     0.620006   0.555035   0.496501   0.470378   \n",
       "7      0.261043    0.260589     0.231489   0.194071    0.16035   0.145243   \n",
       "8      0.544763    0.543954      0.48864   0.417501   0.353396   0.324706   \n",
       "9       0.14838    0.148128     0.122752  0.0900817  0.0606532    0.04755   \n",
       "10     0.603251     0.60227     0.543835   0.468543   0.401323    0.37019   \n",
       "11     0.538224     0.53741     0.482571   0.411883   0.348784   0.319619   \n",
       "12      0.73157    0.730971     0.691185   0.639903   0.594126   0.572961   \n",
       "13     0.228553    0.227874     0.179946   0.118156  0.0630036  0.0375288   \n",
       "14     0.420988    0.420301     0.380738    0.32977   0.284263   0.263174   \n",
       "15     0.313897    0.313104     0.264324   0.201466    0.14535   0.119374   \n",
       "16     0.270864    0.269873     0.204872    0.12109  0.0463021  0.0117188   \n",
       "17     0.128288    0.127514    0.0788055  0.0160327 -0.0400052 -0.0659348   \n",
       "18     0.702004    0.701331     0.653974   0.592921   0.538427   0.513255   \n",
       "19    0.0311791   0.0306254  0.000498915 -0.0383039 -0.0729517 -0.0890251   \n",
       "20      1.58201     1.55693      1.46631    1.35663    1.25516    1.19234   \n",
       "21      1.38697     1.35465        1.238    1.09683   0.966223   0.885354   \n",
       "22      2.35704     2.31725      2.17381    2.00022    1.83962    1.74015   \n",
       "23      2.47882     2.43169      2.26203    2.05672    1.86675    1.74908   \n",
       "24      2.56228     2.51578      2.34792    2.14476    1.95679    1.84042   \n",
       "25      1.43916     1.41478      1.32691    1.22059    1.12221    1.06127   \n",
       "26       2.0396     2.00611      1.88523    1.73892    1.60356    1.51975   \n",
       "27      2.08198     2.04933      1.93168    1.78932    1.65759    1.57601   \n",
       "28       2.2031       2.165      2.02756    1.86122    1.70733    1.61203   \n",
       "29       1.1652     1.13531      1.02729   0.896528   0.775557   0.700679   \n",
       "..          ...         ...          ...        ...        ...        ...   \n",
       "360    0.637152    0.635023     0.585838   0.522781   0.464816    0.43073   \n",
       "361    0.379064    0.376815     0.324817   0.258154   0.196875   0.160841   \n",
       "362    0.542896    0.539968     0.472073   0.385028   0.305013   0.257965   \n",
       "363    0.658899    0.656636     0.602539   0.533163   0.469396   0.431932   \n",
       "364    0.819787    0.816973     0.751204   0.666878   0.589364   0.543796   \n",
       "365    0.557359    0.555354     0.506445    0.44371   0.386051   0.352194   \n",
       "366    0.951496    0.948585     0.882182   0.797063   0.718815   0.672786   \n",
       "367    0.610781    0.608135     0.547061   0.468763   0.396788   0.354463   \n",
       "368    0.518232    0.515307     0.444785   0.354336   0.271202   0.222371   \n",
       "369    0.362946    0.360851     0.310224   0.245291    0.18561   0.150557   \n",
       "370     2.10999     2.15104      2.21537    2.28698    2.36816     2.4876   \n",
       "371     1.36405     1.38804      1.42566    1.46754    1.51502    1.58489   \n",
       "372     1.84386     1.88814      1.95758    2.03488    2.12252     2.2515   \n",
       "373     1.94359      1.9815      2.04097    2.10718    2.18223    2.29269   \n",
       "374     1.59771     1.64166      1.71055    1.78724    1.87418    2.00209   \n",
       "375     1.50157     1.53099      1.57714    1.62851    1.68676    1.77248   \n",
       "376     2.16039     2.21267      2.29472    2.38606    2.48962    2.64208   \n",
       "377     1.48352     1.51944      1.57584    1.63864    1.70985    1.81471   \n",
       "378     2.01633     2.06116      2.13148    2.20977    2.29853    2.42916   \n",
       "379     1.55386     1.59219      1.65226    1.71912    1.79492    1.90644   \n",
       "380  -0.0443184  -0.0440506   -0.0403975 -0.0356562 -0.0322448 -0.0340324   \n",
       "381    0.631199    0.631752     0.639786   0.650225   0.657724   0.653735   \n",
       "382     0.46326    0.463597     0.468654   0.475228   0.479947   0.477419   \n",
       "383  0.00219245  0.00244612   0.00734612  0.0137396  0.0183077  0.0157405   \n",
       "384    0.262973    0.263403     0.270637   0.280059   0.286807   0.283105   \n",
       "385    0.628603     0.62896      0.63355     0.6395   0.643788   0.641574   \n",
       "386    0.422706    0.423053     0.429119   0.437023   0.442681   0.439556   \n",
       "387    0.324082    0.324439     0.329835   0.336851   0.341887   0.339185   \n",
       "388    0.499991    0.500482     0.507896   0.517535   0.524455   0.520743   \n",
       "389    0.193507    0.194137     0.202206   0.212666   0.220204   0.216316   \n",
       "\n",
       "           6          7           8          9     ...       1891        1892  \\\n",
       "0      0.365894   0.392923     0.42039   0.445661  ...  -0.542851   -0.553386   \n",
       "1      0.372045   0.396631    0.421619     0.4446  ...  -0.648388   -0.658111   \n",
       "2      0.781222   0.809376    0.837987   0.864312  ... -0.0996452   -0.110572   \n",
       "3      0.570728   0.598528     0.62678    0.65277  ...  -0.431184   -0.442068   \n",
       "4      0.435396   0.467502    0.500129   0.530151  ...  -0.532619   -0.545052   \n",
       "5      0.462882   0.486122    0.509743   0.531465  ...  -0.529401   -0.538613   \n",
       "6       0.48586   0.514214    0.543028   0.569544  ...   -0.32966   -0.340612   \n",
       "7      0.154031   0.170212    0.186656   0.201781  ...  -0.510014   -0.516408   \n",
       "8      0.341478   0.372317    0.403657   0.432486  ...  -0.822511   -0.834624   \n",
       "9     0.0554035  0.0697407   0.0843095  0.0977205  ...  -0.251414   -0.256876   \n",
       "10     0.387015   0.419034     0.44583   0.447698  ...  -0.407098   -0.451763   \n",
       "11     0.335548   0.365765    0.391071   0.392936  ...  -0.205807   -0.247698   \n",
       "12     0.584507   0.606415    0.624761   0.626105  ...   0.174699    0.144305   \n",
       "13    0.0514937  0.0779543     0.10012   0.101784  ...  -0.359496     -0.3961   \n",
       "14     0.274536   0.296179    0.314287   0.315528  ...  -0.306028   -0.336274   \n",
       "15     0.133453   0.160223     0.18263   0.184216  ...  -0.479674   -0.516953   \n",
       "16    0.0305661  0.0663417   0.0962982  0.0984814  ...  -0.661151   -0.710811   \n",
       "17   -0.0518519 -0.0250917 -0.00268934 -0.0010856  ...  -0.628657   -0.665877   \n",
       "18     0.527049   0.553189    0.575085   0.576726  ...   0.114827   0.0786587   \n",
       "19   -0.0804137 -0.0639815  -0.0502377  -0.049325  ...  -0.580919   -0.603958   \n",
       "20      1.17944    1.18229     1.18607    1.18998  ...   0.188565    0.188637   \n",
       "21     0.868706   0.872329    0.877145   0.882132  ...  -0.494603   -0.494557   \n",
       "22      1.71963    1.72402     1.72987    1.73594  ... -0.0758583  -0.0758651   \n",
       "23      1.72473    1.72984     1.73668    1.74378  ...  -0.547616   -0.547703   \n",
       "24      1.81646    1.82168     1.82861    1.83579  ...  -0.140453   -0.140384   \n",
       "25      1.04869    1.05136     1.05492    1.05862  ...  -0.086069  -0.0860918   \n",
       "26      1.50251    1.50627     1.51128    1.51645  ...   0.108446    0.108504   \n",
       "27      1.55916    1.56274     1.56752    1.57247  ...  0.0482152   0.0481892   \n",
       "28      1.59239    1.59664     1.60229    1.60813  ... -0.0620236  -0.0619948   \n",
       "29     0.685312    0.68873    0.693253   0.697934  ...  -0.464367   -0.464264   \n",
       "..          ...        ...         ...        ...  ...        ...         ...   \n",
       "360    0.427373   0.433672    0.440499   0.448554  ...  -0.364496   -0.329224   \n",
       "361    0.157293   0.163954    0.171173    0.17969  ...  -0.677257   -0.639967   \n",
       "362     0.25334   0.262048    0.271483   0.282614  ...  -0.820586    -0.77188   \n",
       "363    0.428315   0.435336    0.442936   0.451891  ...  -0.290742   -0.251809   \n",
       "364    0.539338   0.547799    0.556965   0.567775  ...  -0.457596   -0.410375   \n",
       "365    0.348964   0.355359     0.36228   0.370425  ...  -0.220819   -0.185547   \n",
       "366    0.668217   0.676678     0.68585    0.69668  ...  -0.473541   -0.425989   \n",
       "367    0.350291    0.35811    0.366583   0.376583  ...   -0.63868   -0.594888   \n",
       "368     0.21768   0.226862      0.2368   0.248504  ...  -0.670676   -0.619877   \n",
       "369    0.147195   0.153792    0.160933   0.169342  ...  -0.480196   -0.443719   \n",
       "370     2.65631     2.8402     3.01557    3.14727  ... -0.0884464  -0.0501031   \n",
       "371      1.6836     1.7912      1.8938    1.97085  ...  0.0213874   0.0437984   \n",
       "372     2.43372    2.63234     2.82175    2.96398  ...  -0.664156   -0.622797   \n",
       "373     2.44876    2.61887     2.78109    2.90291  ...  -0.220185   -0.184769   \n",
       "374      2.1828    2.37976     2.56759    2.70865  ...  -0.794463    -0.75341   \n",
       "375     1.89361    2.02565     2.15156     2.2461  ...  -0.209977   -0.182503   \n",
       "376      2.8575    3.09232     3.31625    3.48438  ...  -0.960993   -0.912161   \n",
       "377      1.9629    2.12444     2.27848    2.39412  ...  -0.778398   -0.744853   \n",
       "378     2.61372     2.8149     3.00675    3.15081  ...  -0.562632   -0.520756   \n",
       "379     2.06396    2.23566      2.3994    2.52237  ...   -0.49309   -0.457286   \n",
       "380  -0.0428326 -0.0533255  -0.0612793  -0.055208  ...  -0.592728   -0.574808   \n",
       "381     0.63425   0.611024    0.593409   0.606786  ...  -0.654145   -0.614584   \n",
       "382    0.465114   0.450449    0.439323   0.447752  ...  -0.369907   -0.344959   \n",
       "383  0.00354873 -0.0109661  -0.0219962 -0.0137774  ...  -0.965692   -0.941212   \n",
       "384    0.265309   0.244109    0.228014   0.240109  ...   -1.04441     -1.0085   \n",
       "385    0.630592   0.617493    0.607569   0.615183  ... -0.0158937  0.00653628   \n",
       "386    0.424586   0.406756    0.393216   0.403366  ...  -0.702219   -0.672054   \n",
       "387    0.326044   0.310384    0.298503   0.307499  ...    -0.5708   -0.544168   \n",
       "388    0.502692   0.481179    0.464858   0.477217  ...   -0.72774   -0.691151   \n",
       "389    0.197018   0.173999     0.15656   0.169943  ...  -0.934459   -0.895036   \n",
       "\n",
       "          1893       1894       1895        1896       1897       1898  \\\n",
       "0    -0.576443  -0.472749  -0.411013   -0.444833  -0.505014  -0.536638   \n",
       "1    -0.679272  -0.584661  -0.528374   -0.559365  -0.614435   -0.64342   \n",
       "2    -0.134525 -0.0266104  0.0376528  0.00250114 -0.0600754 -0.0929417   \n",
       "3    -0.465848  -0.359096  -0.295553   -0.330417  -0.392428  -0.425031   \n",
       "4    -0.572333  -0.449324  -0.376065   -0.416108  -0.487407  -0.524845   \n",
       "5    -0.558642  -0.469168  -0.415942    -0.44527  -0.497372  -0.524803   \n",
       "6    -0.364667   -0.25609  -0.191416   -0.226735  -0.289636  -0.322656   \n",
       "7    -0.530327  -0.468073  -0.431034   -0.451421  -0.487651  -0.506718   \n",
       "8    -0.861053  -0.742555  -0.672031   -0.710768  -0.779646  -0.815871   \n",
       "9    -0.268937  -0.214191  -0.181561   -0.199295  -0.230923    -0.2475   \n",
       "10   -0.494055  -0.494086   -0.48842   -0.469221  -0.460468  -0.491601   \n",
       "11   -0.287355  -0.287276  -0.281839   -0.263677  -0.255338  -0.284504   \n",
       "12     0.11553   0.115579   0.119513    0.132678   0.138717   0.117553   \n",
       "13   -0.430751  -0.430649   -0.42586   -0.409943  -0.402617  -0.428091   \n",
       "14   -0.364913  -0.364957  -0.361146   -0.348178  -0.342279  -0.363367   \n",
       "15   -0.552248  -0.552248  -0.547489   -0.531427   -0.52409  -0.550066   \n",
       "16   -0.757826  -0.757759  -0.751344   -0.729852  -0.719998  -0.754581   \n",
       "17   -0.701116  -0.701097  -0.696324    -0.68026  -0.672912  -0.698842   \n",
       "18   0.0444197  0.0445176  0.0492453   0.0649685  0.0722039  0.0470313   \n",
       "19   -0.625775  -0.625839  -0.622972   -0.613138  -0.608682  -0.624755   \n",
       "20    0.188709   0.188782   0.188854    0.188926   0.188999   0.219654   \n",
       "21   -0.494511  -0.494465  -0.494418   -0.494372  -0.494326   -0.45493   \n",
       "22  -0.0758718 -0.0758786 -0.0758854  -0.0758922 -0.0758989 -0.0275377   \n",
       "23   -0.547791  -0.547878  -0.547965   -0.548053   -0.54814  -0.491042   \n",
       "24   -0.140315  -0.140245  -0.140176   -0.140107  -0.140038 -0.0833392   \n",
       "25  -0.0861146 -0.0861374 -0.0861602   -0.086183 -0.0862058 -0.0566069   \n",
       "26    0.108562    0.10862   0.108678    0.108736   0.108794   0.149636   \n",
       "27   0.0481632  0.0481372  0.0481111   0.0480851  0.0480591  0.0876964   \n",
       "28  -0.0619661 -0.0619373 -0.0619086  -0.0618798 -0.0618511 -0.0154645   \n",
       "29   -0.464161  -0.464058  -0.463955   -0.463852  -0.463749  -0.427181   \n",
       "..         ...        ...        ...         ...        ...        ...   \n",
       "360  -0.315901  -0.331725  -0.344389    -0.35477  -0.369189  -0.376585   \n",
       "361   -0.62588  -0.642608  -0.655994   -0.666968  -0.682211  -0.690029   \n",
       "362  -0.753476  -0.775313  -0.792786   -0.807107  -0.827004  -0.837205   \n",
       "363  -0.237052  -0.254401  -0.268269   -0.279622  -0.295424   -0.30349   \n",
       "364  -0.392518  -0.413655  -0.430564   -0.444419  -0.463676  -0.473538   \n",
       "365   -0.17215  -0.187806  -0.200312   -0.210543  -0.224799  -0.232054   \n",
       "366  -0.408052  -0.429442  -0.446567   -0.460613  -0.480107  -0.490125   \n",
       "367  -0.578348  -0.597999  -0.613726   -0.626619  -0.644526  -0.653712   \n",
       "368  -0.600606  -0.623206  -0.641265   -0.656045  -0.676626  -0.687118   \n",
       "369  -0.429878  -0.446097  -0.459057   -0.469663  -0.484434  -0.491962   \n",
       "370 -0.0290176 -0.0278931 -0.0579576  -0.0828239  -0.102492 -0.0797432   \n",
       "371  0.0561091  0.0567376  0.0391126   0.0245299  0.0129895  0.0262737   \n",
       "372  -0.600084  -0.598939  -0.631494   -0.658431  -0.679752  -0.655243   \n",
       "373  -0.165324  -0.164352  -0.192243   -0.215323  -0.233593  -0.212609   \n",
       "374  -0.730843  -0.729658  -0.761882   -0.788539  -0.809627  -0.785278   \n",
       "375  -0.167425  -0.166687  -0.188355   -0.206288  -0.220487  -0.204215   \n",
       "376  -0.885382   -0.88411  -0.922693   -0.954633  -0.979931  -0.951027   \n",
       "377  -0.726485   -0.72567  -0.752282   -0.774323  -0.791792  -0.771961   \n",
       "378  -0.497769   -0.49663  -0.529627   -0.556935  -0.578553  -0.553745   \n",
       "379  -0.437597  -0.436544  -0.464611   -0.487825  -0.506186  -0.484943   \n",
       "380  -0.568495  -0.581768  -0.596251   -0.595137  -0.594144  -0.557121   \n",
       "381  -0.600672  -0.630043  -0.662086   -0.659663  -0.657507  -0.575732   \n",
       "382  -0.336194  -0.354736  -0.374964   -0.373447  -0.372098  -0.320518   \n",
       "383  -0.932661  -0.950992  -0.970983   -0.969568  -0.968319  -0.917619   \n",
       "384  -0.995916    -1.0227   -1.05192    -1.04979    -1.0479  -0.973596   \n",
       "385  0.0144523  -0.002124 -0.0202121  -0.0187971 -0.0175333  0.0287841   \n",
       "386  -0.661494  -0.684022  -0.708591   -0.706814  -0.705241  -0.642806   \n",
       "387  -0.534812  -0.554612  -0.576211   -0.574594  -0.573157   -0.51809   \n",
       "388  -0.678298  -0.705497  -0.735169   -0.732947  -0.730972  -0.655321   \n",
       "389  -0.881122  -0.910252  -0.942039   -0.939549  -0.937326  -0.855921   \n",
       "\n",
       "           1899       1900  \n",
       "0     -0.535531  -0.524538  \n",
       "1      -0.64251   -0.63257  \n",
       "2    -0.0917555  -0.080285  \n",
       "3     -0.423925   -0.41264  \n",
       "4     -0.523474  -0.510383  \n",
       "5     -0.523956  -0.514569  \n",
       "6     -0.321425  -0.309851  \n",
       "7     -0.506115  -0.499572  \n",
       "8     -0.814671  -0.802169  \n",
       "9     -0.246825   -0.24094  \n",
       "10    -0.494244   -0.48834  \n",
       "11     -0.28688   -0.28122  \n",
       "12      0.11582   0.119917  \n",
       "13    -0.430137  -0.425153  \n",
       "14    -0.365179  -0.361207  \n",
       "15    -0.552247  -0.547289  \n",
       "16    -0.757423  -0.750743  \n",
       "17    -0.701002   -0.69603  \n",
       "18    0.0450074  0.0499279  \n",
       "19    -0.626164  -0.623174  \n",
       "20     0.238526   0.197954  \n",
       "21    -0.430694  -0.482945  \n",
       "22   0.00218829 -0.0620998  \n",
       "23    -0.455976  -0.532063  \n",
       "24   -0.0484587  -0.123651  \n",
       "25   -0.0384206 -0.0778109  \n",
       "26     0.174765    0.12062  \n",
       "27     0.112052  0.0593134  \n",
       "28    0.0130612 -0.0485197  \n",
       "29    -0.404663  -0.453021  \n",
       "..          ...        ...  \n",
       "360   -0.351147  -0.302004  \n",
       "361   -0.663133  -0.611178  \n",
       "362   -0.802075  -0.734219  \n",
       "363   -0.275388  -0.221176  \n",
       "364   -0.439472  -0.373694  \n",
       "365   -0.206582  -0.157484  \n",
       "366   -0.455841  -0.389573  \n",
       "367   -0.622129  -0.561115  \n",
       "368   -0.650444  -0.579718  \n",
       "369   -0.465625  -0.414842  \n",
       "370  -0.0359938  0.0418556  \n",
       "371   0.0518486  0.0973806  \n",
       "372   -0.608043  -0.523998  \n",
       "373    -0.17219  -0.100213  \n",
       "374   -0.738434  -0.655062  \n",
       "375   -0.172856  -0.117001  \n",
       "376   -0.895287  -0.795972  \n",
       "377   -0.733662  -0.665377  \n",
       "378   -0.505953  -0.420838  \n",
       "379   -0.444092  -0.371403  \n",
       "380   -0.518284   -0.52249  \n",
       "381    -0.48995  -0.499282  \n",
       "382   -0.266409  -0.272309  \n",
       "383   -0.864431  -0.870317  \n",
       "384   -0.895643  -0.904205  \n",
       "385   0.0773693  0.0721321  \n",
       "386   -0.577308  -0.584517  \n",
       "387   -0.460322  -0.466624  \n",
       "388   -0.575961  -0.584617  \n",
       "389   -0.770531  -0.779733  \n",
       "\n",
       "[390 rows x 1901 columns]"
      ]
     },
     "execution_count": 382,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 383,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "n 41      N\n",
       "n 41      N\n",
       "n 41      N\n",
       "n 41      N\n",
       "n 41      N\n",
       "n 41      N\n",
       "n 41      N\n",
       "n 41      N\n",
       "n 41      N\n",
       "n 41      N\n",
       "n 45      N\n",
       "n 45      N\n",
       "n 45      N\n",
       "n 45      N\n",
       "n 45      N\n",
       "n 45      N\n",
       "n 45      N\n",
       "n 45      N\n",
       "n 45      N\n",
       "n 45      N\n",
       "n 46      N\n",
       "n 46      N\n",
       "n 46      N\n",
       "n 46      N\n",
       "n 46      N\n",
       "n 46      N\n",
       "n 46      N\n",
       "n 46      N\n",
       "n 46      N\n",
       "n 46      N\n",
       "         ..\n",
       "pan 28    P\n",
       "pan 28    P\n",
       "pan 28    P\n",
       "pan 28    P\n",
       "pan 28    P\n",
       "pan 28    P\n",
       "pan 28    P\n",
       "pan 28    P\n",
       "pan 28    P\n",
       "pan 28    P\n",
       "pan 31    P\n",
       "pan 31    P\n",
       "pan 31    P\n",
       "pan 31    P\n",
       "pan 31    P\n",
       "pan 31    P\n",
       "pan 31    P\n",
       "pan 31    P\n",
       "pan 31    P\n",
       "pan 31    P\n",
       "pan 35    P\n",
       "pan 35    P\n",
       "pan 35    P\n",
       "pan 35    P\n",
       "pan 35    P\n",
       "pan 35    P\n",
       "pan 35    P\n",
       "pan 35    P\n",
       "pan 35    P\n",
       "pan 35    P\n",
       "Name: 0, Length: 390, dtype: object"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(y_aug)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 384,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ee816fdcc0>"
      ]
     },
     "execution_count": 384,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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N/wNJxzDDXZIa5HXuktQgw12SGmS4S1KDDHdJapDhLkkN+j9TyYwGZRqMdQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_y.value_counts().plot(kind =\"bar\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ee816eea20>"
      ]
     },
     "execution_count": 385,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y.value_counts().plot(kind =\"pie\",autopct='%1.1f%%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Classification Analysis\n",
    "# split the data now\n",
    "xtrain,xtest,ytrain,ytest = train_test_split(df_x,df_y,test_size = 0.3,random_state = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classification without scaling\n",
      "DECISION TREE CLASSIFIER::  0.9316239316239316\n",
      "FORSEST TREE CLASSIFICATION::  0.9401709401709402\n",
      "SUPPORT VECTOR MACHINE::  0.8632478632478633\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\aslan\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:193: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "K NEAREST NEIGHBOURS::  0.9230769230769231\n",
      "NAIVE BAYES ALGORITHM::  0.6495726495726496\n",
      "LOGISTIC REGRESSION::  1.0\n",
      "PLS-DA::  0.9487179487179487\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\aslan\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "# FITTING & TESTING THE CLASSIFICATION MODELS (without scaling the data)\n",
    "print('Classification without scaling')\n",
    "#decision tree\n",
    "dt = DecisionTreeClassifier()\n",
    "dt.fit(xtrain,ytrain)\n",
    "ypred = dt.predict(xtest)\n",
    "print('DECISION TREE CLASSIFIER:: ',metrics.accuracy_score(ypred,ytest))\n",
    "\n",
    "#random forest\n",
    "model=RandomForestClassifier(n_estimators=100)\n",
    "model.fit(xtrain,ytrain)# now fit our model for traiing data\n",
    "prediction=model.predict(xtest)# predict for the test data\n",
    "print('FORSEST TREE CLASSIFICATION:: ',metrics.accuracy_score(prediction,ytest))\n",
    "\n",
    "#SVM\n",
    "model = svm.SVC()\n",
    "model.fit(xtrain,ytrain)# now fit our model for traiing data\n",
    "prediction=model.predict(xtest)# predict for the test data\n",
    "metrics.accuracy_score(prediction,ytest)\n",
    "print('SUPPORT VECTOR MACHINE:: ',metrics.accuracy_score(prediction,ytest))\n",
    "\n",
    "#knn\n",
    "knn = KNeighborsClassifier(n_neighbors = 5)\n",
    "knn.fit(xtrain,ytrain)\n",
    "ypred = knn.predict(xtest)\n",
    "print('K NEAREST NEIGHBOURS:: ',metrics.accuracy_score(ypred,ytest))\n",
    "\n",
    "#naive bayes\n",
    "NB = GaussianNB()\n",
    "NB.fit(xtrain,ytrain)\n",
    "ypred = NB.predict(xtest)\n",
    "print('NAIVE BAYES ALGORITHM:: ',metrics.accuracy_score(ypred,ytest))\n",
    "\n",
    "#logistic regression\n",
    "LR = LogisticRegression()\n",
    "LR.fit(xtrain,ytrain)\n",
    "ypred = LR.predict(xtest)\n",
    "print('LOGISTIC REGRESSION:: ',metrics.accuracy_score(ypred,ytest))\n",
    "\n",
    "#PLS Discriminant Analysis\n",
    "binary_ytrain = (ytrain == 'N').astype('uint8') # assign 'P' to 0, 'N' to 1\n",
    "binary_ytest = (ytest == 'N').astype('uint8')\n",
    "PLS = PLSRegression(n_components=5)\n",
    "PLS.fit(xtrain,binary_ytrain)\n",
    "ypred = PLS.predict(xtest) # these won't generally be integer numbers\n",
    "binary_ypred = (PLS.predict(xtest) > 0.5).astype('uint8')\n",
    "print('PLS-DA:: ',metrics.accuracy_score(binary_ypred,binary_ytest))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 388,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classification after scaling\n",
      "DECISION TREE CLASSIFIER::  0.9316239316239316\n",
      "FORSEST TREE CLASSIFICATION::  0.9316239316239316\n",
      "SUPPORT VECTOR MACHINE::  0.9316239316239316\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\aslan\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:193: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "K NEAREST NEIGHBOURS::  0.8974358974358975\n",
      "NAIVE BAYES ALGORITHM::  0.6495726495726496\n",
      "LOGISTIC REGRESSION::  1.0\n",
      "PLS-DA::  0.9487179487179487\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\aslan\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "# FITTING & TESTING THE CLASSIFICATION MODELS AFTER SCALING\n",
    "sc = StandardScaler()\n",
    "df_x = sc.fit_transform(df_x)\n",
    "xtrain,xtest,ytrain,ytest = train_test_split(df_x,df_y,test_size = 0.3,random_state = 1)\n",
    "\n",
    "print('Classification after scaling')\n",
    "\n",
    "#decision tree\n",
    "dt = DecisionTreeClassifier()\n",
    "dt.fit(xtrain,ytrain)\n",
    "ypred = dt.predict(xtest)\n",
    "print('DECISION TREE CLASSIFIER:: ',metrics.accuracy_score(ypred,ytest))\n",
    "\n",
    "#random forest\n",
    "model=RandomForestClassifier(n_estimators=100)\n",
    "model.fit(xtrain,ytrain)# now fit our model for traiing data\n",
    "prediction=model.predict(xtest)# predict for the test data\n",
    "print('FORSEST TREE CLASSIFICATION:: ',metrics.accuracy_score(prediction,ytest))\n",
    "\n",
    "\n",
    "#SVM\n",
    "model = svm.SVC()\n",
    "model.fit(xtrain,ytrain)# now fit our model for traiing data\n",
    "prediction=model.predict(xtest)# predict for the test data\n",
    "metrics.accuracy_score(prediction,ytest)\n",
    "print('SUPPORT VECTOR MACHINE:: ',metrics.accuracy_score(prediction,ytest))\n",
    "\n",
    "#knn\n",
    "knn = KNeighborsClassifier(n_neighbors = 5)\n",
    "knn.fit(xtrain,ytrain)\n",
    "ypred = knn.predict(xtest)\n",
    "print('K NEAREST NEIGHBOURS:: ',metrics.accuracy_score(ypred,ytest))\n",
    "\n",
    "#naive bayes\n",
    "NB = GaussianNB()\n",
    "NB.fit(xtrain,ytrain)\n",
    "ypred = NB.predict(xtest)\n",
    "print('NAIVE BAYES ALGORITHM:: ',metrics.accuracy_score(ypred,ytest))\n",
    "\n",
    "#logistic regression\n",
    "LR = LogisticRegression()\n",
    "LR.fit(xtrain,ytrain)\n",
    "ypred = LR.predict(xtest)\n",
    "print('LOGISTIC REGRESSION:: ',metrics.accuracy_score(ypred,ytest))\n",
    "\n",
    "#PLS Discriminant Analysis\n",
    "binary_ytrain = (ytrain == 'N').astype('uint8') # assign 'P' to 0, 'N' to 1\n",
    "binary_ytest = (ytest == 'N').astype('uint8')\n",
    "PLS = PLSRegression(n_components=5)\n",
    "PLS.fit(xtrain,binary_ytrain)\n",
    "ypred = PLS.predict(xtest) # these won't generally be integer numbers\n",
    "binary_ypred = (PLS.predict(xtest) > 0.5).astype('uint8')\n",
    "print('PLS-DA:: ',metrics.accuracy_score(binary_ypred,binary_ytest))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 389,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SUPPORT VECTOR MACHINE::  0.9316239316239316\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\aslan\\Anaconda3\\lib\\site-packages\\sklearn\\svm\\base.py:193: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[53,  2],\n",
       "       [ 6, 56]], dtype=int64)"
      ]
     },
     "execution_count": 389,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#SVM\n",
    "model = svm.SVC()\n",
    "model.fit(xtrain,ytrain)# now fit our model for traiing data\n",
    "prediction=model.predict(xtest)# predict for the test data\n",
    "metrics.accuracy_score(prediction,ytest)\n",
    "print('SUPPORT VECTOR MACHINE:: ',metrics.accuracy_score(prediction,ytest))\n",
    "metrics.confusion_matrix(ytest,prediction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 390,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LOGISTIC REGRESSION::  1.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\aslan\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[55,  0],\n",
       "       [ 0, 62]], dtype=int64)"
      ]
     },
     "execution_count": 390,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#logistic regression\n",
    "LR = LogisticRegression()\n",
    "LR.fit(xtrain,ytrain)\n",
    "ypred = LR.predict(xtest)\n",
    "print('LOGISTIC REGRESSION:: ',metrics.accuracy_score(ypred,ytest))\n",
    "metrics.confusion_matrix(ytest,ypred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PLS-DA::  0.9487179487179487\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[56,  6],\n",
       "       [ 0, 55]], dtype=int64)"
      ]
     },
     "execution_count": 391,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#PLS Discriminant Analysis\n",
    "binary_ytrain = (ytrain == 'N').astype('uint8') # assign 'P' to 0, 'N' to 1\n",
    "binary_ytest = (ytest == 'N').astype('uint8')\n",
    "PLS = PLSRegression(n_components=5)\n",
    "PLS.fit(xtrain,binary_ytrain)\n",
    "ypred = PLS.predict(xtest) # these won't generally be integer numbers\n",
    "binary_ypred = (PLS.predict(xtest) > 0.5).astype('uint8')\n",
    "print('PLS-DA:: ',metrics.accuracy_score(binary_ypred,binary_ytest))\n",
    "metrics.confusion_matrix(binary_ytest,binary_ypred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convolutional Neural Network algorithm\n"
   ]
  }
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