Knearest neighbor.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/sebastianmensink/miniconda3/envs/python/lib/python3.5/site-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function _ratio_float is deprecated; Use a float for 'ratio' is deprecated from version 0.2. The support will be removed in 0.4. Use a dict, str, or a callable instead.\n",
      "  warnings.warn(msg, category=DeprecationWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski',\n",
       "           metric_params=None, n_jobs=1, n_neighbors=5, p=2,\n",
       "           weights='uniform')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.svm import SVC\n",
    "dataset = pd.read_csv('all_labelled.csv')\n",
    "X = dataset[['starting frequency (kHz)','final frequency (kHz)','minimum frequency (kHz)','maximum frequency (kHz)','mean frequency (kHz)','frequency bandwidth (kHz)','syllable duration (msec)','total syllable energy (dB)','peak syllable amplitude (dB)']]\n",
    "Y = dataset.iloc[:,9]\n",
    "X= X.dropna(how = 'any')\n",
    "Y= Y.dropna(how = 'any')\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size = 0.2)\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.neighbors import KNeighborsClassifier \n",
    "import imblearn.over_sampling\n",
    "sm = imblearn.over_sampling.SMOTE(random_state= 12, ratio= 1)\n",
    "X_trainr, y_trainr = sm.fit_sample(X_train, y_train)\n",
    "classifier = KNeighborsClassifier(n_neighbors=5)  \n",
    "classifier.fit(X_trainr, y_trainr)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 317   63]\n",
      " [ 302 3237]]\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          0       0.51      0.83      0.63       380\n",
      "          1       0.98      0.91      0.95      3539\n",
      "\n",
      "avg / total       0.94      0.91      0.92      3919\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_pred = classifier.predict(X_test)\n",
    "from sklearn.metrics import classification_report, confusion_matrix  \n",
    "print(confusion_matrix(y_test, y_pred))  \n",
    "print(classification_report(y_test, y_pred)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Mean Error')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "error = []\n",
    "for i in range(1, 40):  \n",
    "    knn = KNeighborsClassifier(n_neighbors=i)\n",
    "    knn.fit(X_train, y_train)\n",
    "    pred_i = knn.predict(X_test)\n",
    "    error.append(np.mean(pred_i != y_test))\n",
    "plt.figure(figsize=(12, 6))  \n",
    "plt.plot(range(1, 40), error, color='red', linestyle='dashed', marker='o',  \n",
    "         markerfacecolor='blue', markersize=10)\n",
    "plt.title('Error Rate K Value')  \n",
    "plt.xlabel('K Value')  \n",
    "plt.ylabel('Mean Error')  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('/Users/sebastianmensink/Desktop/MiceClass/Non-NN/knear', 'wb') as f:\n",
    "    pickle.dump(classifier, f)                                                                                                                                                                                                       \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "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>starting frequency (kHz)</th>\n",
       "      <th>final frequency (kHz)</th>\n",
       "      <th>minimum frequency (kHz)</th>\n",
       "      <th>maximum frequency (kHz)</th>\n",
       "      <th>mean frequency (kHz)</th>\n",
       "      <th>frequency bandwidth (kHz)</th>\n",
       "      <th>syllable duration (msec)</th>\n",
       "      <th>total syllable energy (dB)</th>\n",
       "      <th>peak syllable amplitude (dB)</th>\n",
       "      <th>Clean</th>\n",
       "      <th>...</th>\n",
       "      <th>Unnamed: 13</th>\n",
       "      <th>Unnamed: 14</th>\n",
       "      <th>Unnamed: 15</th>\n",
       "      <th>Unnamed: 16</th>\n",
       "      <th>Unnamed: 17</th>\n",
       "      <th>Unnamed: 18</th>\n",
       "      <th>Unnamed: 19</th>\n",
       "      <th>Unnamed: 20</th>\n",
       "      <th>Unnamed: 21</th>\n",
       "      <th>Unnamed: 22</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>53.22</td>\n",
       "      <td>62.99</td>\n",
       "      <td>37.60</td>\n",
       "      <td>64.70</td>\n",
       "      <td>51.88</td>\n",
       "      <td>27.10</td>\n",
       "      <td>27.2</td>\n",
       "      <td>2.97</td>\n",
       "      <td>-10.47</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>45.65</td>\n",
       "      <td>58.59</td>\n",
       "      <td>42.48</td>\n",
       "      <td>70.80</td>\n",
       "      <td>47.14</td>\n",
       "      <td>28.32</td>\n",
       "      <td>22.4</td>\n",
       "      <td>6.53</td>\n",
       "      <td>-9.66</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>70.07</td>\n",
       "      <td>41.26</td>\n",
       "      <td>37.60</td>\n",
       "      <td>90.33</td>\n",
       "      <td>66.38</td>\n",
       "      <td>52.73</td>\n",
       "      <td>203.2</td>\n",
       "      <td>18.48</td>\n",
       "      <td>0.97</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>65.67</td>\n",
       "      <td>45.90</td>\n",
       "      <td>45.90</td>\n",
       "      <td>78.86</td>\n",
       "      <td>59.16</td>\n",
       "      <td>32.96</td>\n",
       "      <td>80.0</td>\n",
       "      <td>5.37</td>\n",
       "      <td>-12.13</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>36.13</td>\n",
       "      <td>39.55</td>\n",
       "      <td>36.13</td>\n",
       "      <td>79.59</td>\n",
       "      <td>55.49</td>\n",
       "      <td>43.46</td>\n",
       "      <td>99.2</td>\n",
       "      <td>22.27</td>\n",
       "      <td>3.14</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>37.11</td>\n",
       "      <td>37.11</td>\n",
       "      <td>37.11</td>\n",
       "      <td>49.07</td>\n",
       "      <td>37.11</td>\n",
       "      <td>11.96</td>\n",
       "      <td>252.8</td>\n",
       "      <td>13.09</td>\n",
       "      <td>-8.73</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>43.95</td>\n",
       "      <td>44.43</td>\n",
       "      <td>43.95</td>\n",
       "      <td>51.27</td>\n",
       "      <td>43.95</td>\n",
       "      <td>7.32</td>\n",
       "      <td>91.2</td>\n",
       "      <td>-7.62</td>\n",
       "      <td>-21.01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>60.55</td>\n",
       "      <td>91.06</td>\n",
       "      <td>38.82</td>\n",
       "      <td>106.93</td>\n",
       "      <td>69.26</td>\n",
       "      <td>68.12</td>\n",
       "      <td>190.4</td>\n",
       "      <td>24.47</td>\n",
       "      <td>3.08</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>42.48</td>\n",
       "      <td>36.38</td>\n",
       "      <td>38.57</td>\n",
       "      <td>100.10</td>\n",
       "      <td>65.74</td>\n",
       "      <td>61.52</td>\n",
       "      <td>161.6</td>\n",
       "      <td>30.35</td>\n",
       "      <td>8.32</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>75.93</td>\n",
       "      <td>47.12</td>\n",
       "      <td>40.28</td>\n",
       "      <td>101.56</td>\n",
       "      <td>68.50</td>\n",
       "      <td>61.28</td>\n",
       "      <td>40.0</td>\n",
       "      <td>9.21</td>\n",
       "      <td>-5.03</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>54.69</td>\n",
       "      <td>58.11</td>\n",
       "      <td>54.69</td>\n",
       "      <td>85.21</td>\n",
       "      <td>59.89</td>\n",
       "      <td>30.52</td>\n",
       "      <td>30.4</td>\n",
       "      <td>-5.96</td>\n",
       "      <td>-20.66</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>69.09</td>\n",
       "      <td>62.99</td>\n",
       "      <td>63.96</td>\n",
       "      <td>70.31</td>\n",
       "      <td>62.73</td>\n",
       "      <td>6.35</td>\n",
       "      <td>25.6</td>\n",
       "      <td>1.88</td>\n",
       "      <td>-9.45</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>95.70</td>\n",
       "      <td>93.99</td>\n",
       "      <td>94.48</td>\n",
       "      <td>100.10</td>\n",
       "      <td>95.09</td>\n",
       "      <td>5.62</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1.35</td>\n",
       "      <td>-9.34</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>66.41</td>\n",
       "      <td>66.89</td>\n",
       "      <td>66.16</td>\n",
       "      <td>70.07</td>\n",
       "      <td>67.31</td>\n",
       "      <td>3.91</td>\n",
       "      <td>16.0</td>\n",
       "      <td>12.80</td>\n",
       "      <td>2.95</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>73.73</td>\n",
       "      <td>70.56</td>\n",
       "      <td>71.04</td>\n",
       "      <td>76.66</td>\n",
       "      <td>71.28</td>\n",
       "      <td>5.62</td>\n",
       "      <td>20.8</td>\n",
       "      <td>2.45</td>\n",
       "      <td>-9.83</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>58.11</td>\n",
       "      <td>57.86</td>\n",
       "      <td>58.11</td>\n",
       "      <td>63.23</td>\n",
       "      <td>59.70</td>\n",
       "      <td>5.13</td>\n",
       "      <td>27.2</td>\n",
       "      <td>12.50</td>\n",
       "      <td>-1.18</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>82.52</td>\n",
       "      <td>67.14</td>\n",
       "      <td>42.24</td>\n",
       "      <td>102.29</td>\n",
       "      <td>70.05</td>\n",
       "      <td>60.06</td>\n",
       "      <td>57.6</td>\n",
       "      <td>10.68</td>\n",
       "      <td>-11.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>81.30</td>\n",
       "      <td>79.35</td>\n",
       "      <td>79.35</td>\n",
       "      <td>85.21</td>\n",
       "      <td>81.63</td>\n",
       "      <td>5.86</td>\n",
       "      <td>16.0</td>\n",
       "      <td>14.15</td>\n",
       "      <td>4.60</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>64.45</td>\n",
       "      <td>64.94</td>\n",
       "      <td>64.45</td>\n",
       "      <td>66.89</td>\n",
       "      <td>65.08</td>\n",
       "      <td>2.44</td>\n",
       "      <td>11.2</td>\n",
       "      <td>-7.96</td>\n",
       "      <td>-18.76</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>72.02</td>\n",
       "      <td>67.87</td>\n",
       "      <td>58.35</td>\n",
       "      <td>96.68</td>\n",
       "      <td>76.42</td>\n",
       "      <td>38.33</td>\n",
       "      <td>84.8</td>\n",
       "      <td>21.39</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>63.23</td>\n",
       "      <td>97.66</td>\n",
       "      <td>63.23</td>\n",
       "      <td>109.62</td>\n",
       "      <td>79.59</td>\n",
       "      <td>46.39</td>\n",
       "      <td>32.0</td>\n",
       "      <td>8.58</td>\n",
       "      <td>-3.74</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>38.57</td>\n",
       "      <td>85.21</td>\n",
       "      <td>38.57</td>\n",
       "      <td>86.43</td>\n",
       "      <td>51.39</td>\n",
       "      <td>47.85</td>\n",
       "      <td>17.6</td>\n",
       "      <td>0.43</td>\n",
       "      <td>-13.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>34.91</td>\n",
       "      <td>40.28</td>\n",
       "      <td>34.91</td>\n",
       "      <td>47.61</td>\n",
       "      <td>34.91</td>\n",
       "      <td>12.70</td>\n",
       "      <td>65.6</td>\n",
       "      <td>2.13</td>\n",
       "      <td>-9.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>40.53</td>\n",
       "      <td>53.47</td>\n",
       "      <td>40.53</td>\n",
       "      <td>69.58</td>\n",
       "      <td>52.94</td>\n",
       "      <td>29.05</td>\n",
       "      <td>38.4</td>\n",
       "      <td>4.12</td>\n",
       "      <td>-15.37</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>61.77</td>\n",
       "      <td>59.08</td>\n",
       "      <td>57.13</td>\n",
       "      <td>66.65</td>\n",
       "      <td>40.36</td>\n",
       "      <td>9.52</td>\n",
       "      <td>27.2</td>\n",
       "      <td>-2.83</td>\n",
       "      <td>-13.77</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>38.57</td>\n",
       "      <td>35.16</td>\n",
       "      <td>38.57</td>\n",
       "      <td>85.21</td>\n",
       "      <td>63.65</td>\n",
       "      <td>46.63</td>\n",
       "      <td>22.4</td>\n",
       "      <td>22.19</td>\n",
       "      <td>6.13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>65.43</td>\n",
       "      <td>74.46</td>\n",
       "      <td>65.43</td>\n",
       "      <td>84.72</td>\n",
       "      <td>75.90</td>\n",
       "      <td>19.29</td>\n",
       "      <td>27.2</td>\n",
       "      <td>33.85</td>\n",
       "      <td>21.32</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>76.42</td>\n",
       "      <td>76.66</td>\n",
       "      <td>76.42</td>\n",
       "      <td>78.13</td>\n",
       "      <td>76.77</td>\n",
       "      <td>1.71</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-7.50</td>\n",
       "      <td>-17.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>38.33</td>\n",
       "      <td>42.72</td>\n",
       "      <td>38.33</td>\n",
       "      <td>59.81</td>\n",
       "      <td>48.78</td>\n",
       "      <td>21.48</td>\n",
       "      <td>16.0</td>\n",
       "      <td>13.94</td>\n",
       "      <td>-3.34</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>36.13</td>\n",
       "      <td>37.60</td>\n",
       "      <td>36.13</td>\n",
       "      <td>52.00</td>\n",
       "      <td>39.71</td>\n",
       "      <td>15.87</td>\n",
       "      <td>256.0</td>\n",
       "      <td>6.83</td>\n",
       "      <td>-8.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </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>7128</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7129</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7130</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7131</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7132</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7133</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7134</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7135</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7136</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7137</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7138</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7139</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7140</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7141</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7142</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7143</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7144</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7145</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7146</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7147</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7148</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7149</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7150</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7151</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7152</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7153</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7154</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7155</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7156</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7157</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7158 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      starting frequency (kHz)  final frequency (kHz)  \\\n",
       "0                        53.22                  62.99   \n",
       "1                        45.65                  58.59   \n",
       "2                        70.07                  41.26   \n",
       "3                        65.67                  45.90   \n",
       "4                        36.13                  39.55   \n",
       "5                        37.11                  37.11   \n",
       "6                        43.95                  44.43   \n",
       "7                        60.55                  91.06   \n",
       "8                        42.48                  36.38   \n",
       "9                        75.93                  47.12   \n",
       "10                       54.69                  58.11   \n",
       "11                       69.09                  62.99   \n",
       "12                       95.70                  93.99   \n",
       "13                       66.41                  66.89   \n",
       "14                       73.73                  70.56   \n",
       "15                       58.11                  57.86   \n",
       "16                       82.52                  67.14   \n",
       "17                       81.30                  79.35   \n",
       "18                       64.45                  64.94   \n",
       "19                       72.02                  67.87   \n",
       "20                       63.23                  97.66   \n",
       "21                       38.57                  85.21   \n",
       "22                       34.91                  40.28   \n",
       "23                       40.53                  53.47   \n",
       "24                       61.77                  59.08   \n",
       "25                       38.57                  35.16   \n",
       "26                       65.43                  74.46   \n",
       "27                       76.42                  76.66   \n",
       "28                       38.33                  42.72   \n",
       "29                       36.13                  37.60   \n",
       "...                        ...                    ...   \n",
       "7128                       NaN                    NaN   \n",
       "7129                       NaN                    NaN   \n",
       "7130                       NaN                    NaN   \n",
       "7131                       NaN                    NaN   \n",
       "7132                       NaN                    NaN   \n",
       "7133                       NaN                    NaN   \n",
       "7134                       NaN                    NaN   \n",
       "7135                       NaN                    NaN   \n",
       "7136                       NaN                    NaN   \n",
       "7137                       NaN                    NaN   \n",
       "7138                       NaN                    NaN   \n",
       "7139                       NaN                    NaN   \n",
       "7140                       NaN                    NaN   \n",
       "7141                       NaN                    NaN   \n",
       "7142                       NaN                    NaN   \n",
       "7143                       NaN                    NaN   \n",
       "7144                       NaN                    NaN   \n",
       "7145                       NaN                    NaN   \n",
       "7146                       NaN                    NaN   \n",
       "7147                       NaN                    NaN   \n",
       "7148                       NaN                    NaN   \n",
       "7149                       NaN                    NaN   \n",
       "7150                       NaN                    NaN   \n",
       "7151                       NaN                    NaN   \n",
       "7152                       NaN                    NaN   \n",
       "7153                       NaN                    NaN   \n",
       "7154                       NaN                    NaN   \n",
       "7155                       NaN                    NaN   \n",
       "7156                       NaN                    NaN   \n",
       "7157                       NaN                    NaN   \n",
       "\n",
       "      minimum frequency (kHz)  maximum frequency (kHz)  mean frequency (kHz)  \\\n",
       "0                       37.60                    64.70                 51.88   \n",
       "1                       42.48                    70.80                 47.14   \n",
       "2                       37.60                    90.33                 66.38   \n",
       "3                       45.90                    78.86                 59.16   \n",
       "4                       36.13                    79.59                 55.49   \n",
       "5                       37.11                    49.07                 37.11   \n",
       "6                       43.95                    51.27                 43.95   \n",
       "7                       38.82                   106.93                 69.26   \n",
       "8                       38.57                   100.10                 65.74   \n",
       "9                       40.28                   101.56                 68.50   \n",
       "10                      54.69                    85.21                 59.89   \n",
       "11                      63.96                    70.31                 62.73   \n",
       "12                      94.48                   100.10                 95.09   \n",
       "13                      66.16                    70.07                 67.31   \n",
       "14                      71.04                    76.66                 71.28   \n",
       "15                      58.11                    63.23                 59.70   \n",
       "16                      42.24                   102.29                 70.05   \n",
       "17                      79.35                    85.21                 81.63   \n",
       "18                      64.45                    66.89                 65.08   \n",
       "19                      58.35                    96.68                 76.42   \n",
       "20                      63.23                   109.62                 79.59   \n",
       "21                      38.57                    86.43                 51.39   \n",
       "22                      34.91                    47.61                 34.91   \n",
       "23                      40.53                    69.58                 52.94   \n",
       "24                      57.13                    66.65                 40.36   \n",
       "25                      38.57                    85.21                 63.65   \n",
       "26                      65.43                    84.72                 75.90   \n",
       "27                      76.42                    78.13                 76.77   \n",
       "28                      38.33                    59.81                 48.78   \n",
       "29                      36.13                    52.00                 39.71   \n",
       "...                       ...                      ...                   ...   \n",
       "7128                      NaN                      NaN                   NaN   \n",
       "7129                      NaN                      NaN                   NaN   \n",
       "7130                      NaN                      NaN                   NaN   \n",
       "7131                      NaN                      NaN                   NaN   \n",
       "7132                      NaN                      NaN                   NaN   \n",
       "7133                      NaN                      NaN                   NaN   \n",
       "7134                      NaN                      NaN                   NaN   \n",
       "7135                      NaN                      NaN                   NaN   \n",
       "7136                      NaN                      NaN                   NaN   \n",
       "7137                      NaN                      NaN                   NaN   \n",
       "7138                      NaN                      NaN                   NaN   \n",
       "7139                      NaN                      NaN                   NaN   \n",
       "7140                      NaN                      NaN                   NaN   \n",
       "7141                      NaN                      NaN                   NaN   \n",
       "7142                      NaN                      NaN                   NaN   \n",
       "7143                      NaN                      NaN                   NaN   \n",
       "7144                      NaN                      NaN                   NaN   \n",
       "7145                      NaN                      NaN                   NaN   \n",
       "7146                      NaN                      NaN                   NaN   \n",
       "7147                      NaN                      NaN                   NaN   \n",
       "7148                      NaN                      NaN                   NaN   \n",
       "7149                      NaN                      NaN                   NaN   \n",
       "7150                      NaN                      NaN                   NaN   \n",
       "7151                      NaN                      NaN                   NaN   \n",
       "7152                      NaN                      NaN                   NaN   \n",
       "7153                      NaN                      NaN                   NaN   \n",
       "7154                      NaN                      NaN                   NaN   \n",
       "7155                      NaN                      NaN                   NaN   \n",
       "7156                      NaN                      NaN                   NaN   \n",
       "7157                      NaN                      NaN                   NaN   \n",
       "\n",
       "      frequency bandwidth (kHz)  syllable duration (msec)  \\\n",
       "0                         27.10                      27.2   \n",
       "1                         28.32                      22.4   \n",
       "2                         52.73                     203.2   \n",
       "3                         32.96                      80.0   \n",
       "4                         43.46                      99.2   \n",
       "5                         11.96                     252.8   \n",
       "6                          7.32                      91.2   \n",
       "7                         68.12                     190.4   \n",
       "8                         61.52                     161.6   \n",
       "9                         61.28                      40.0   \n",
       "10                        30.52                      30.4   \n",
       "11                         6.35                      25.6   \n",
       "12                         5.62                      24.0   \n",
       "13                         3.91                      16.0   \n",
       "14                         5.62                      20.8   \n",
       "15                         5.13                      27.2   \n",
       "16                        60.06                      57.6   \n",
       "17                         5.86                      16.0   \n",
       "18                         2.44                      11.2   \n",
       "19                        38.33                      84.8   \n",
       "20                        46.39                      32.0   \n",
       "21                        47.85                      17.6   \n",
       "22                        12.70                      65.6   \n",
       "23                        29.05                      38.4   \n",
       "24                         9.52                      27.2   \n",
       "25                        46.63                      22.4   \n",
       "26                        19.29                      27.2   \n",
       "27                         1.71                       8.0   \n",
       "28                        21.48                      16.0   \n",
       "29                        15.87                     256.0   \n",
       "...                         ...                       ...   \n",
       "7128                        NaN                       NaN   \n",
       "7129                        NaN                       NaN   \n",
       "7130                        NaN                       NaN   \n",
       "7131                        NaN                       NaN   \n",
       "7132                        NaN                       NaN   \n",
       "7133                        NaN                       NaN   \n",
       "7134                        NaN                       NaN   \n",
       "7135                        NaN                       NaN   \n",
       "7136                        NaN                       NaN   \n",
       "7137                        NaN                       NaN   \n",
       "7138                        NaN                       NaN   \n",
       "7139                        NaN                       NaN   \n",
       "7140                        NaN                       NaN   \n",
       "7141                        NaN                       NaN   \n",
       "7142                        NaN                       NaN   \n",
       "7143                        NaN                       NaN   \n",
       "7144                        NaN                       NaN   \n",
       "7145                        NaN                       NaN   \n",
       "7146                        NaN                       NaN   \n",
       "7147                        NaN                       NaN   \n",
       "7148                        NaN                       NaN   \n",
       "7149                        NaN                       NaN   \n",
       "7150                        NaN                       NaN   \n",
       "7151                        NaN                       NaN   \n",
       "7152                        NaN                       NaN   \n",
       "7153                        NaN                       NaN   \n",
       "7154                        NaN                       NaN   \n",
       "7155                        NaN                       NaN   \n",
       "7156                        NaN                       NaN   \n",
       "7157                        NaN                       NaN   \n",
       "\n",
       "      total syllable energy (dB)  peak syllable amplitude (dB)  Clean   \\\n",
       "0                           2.97                        -10.47     1.0   \n",
       "1                           6.53                         -9.66     1.0   \n",
       "2                          18.48                          0.97     1.0   \n",
       "3                           5.37                        -12.13     1.0   \n",
       "4                          22.27                          3.14     1.0   \n",
       "5                          13.09                         -8.73     1.0   \n",
       "6                          -7.62                        -21.01     1.0   \n",
       "7                          24.47                          3.08     1.0   \n",
       "8                          30.35                          8.32     1.0   \n",
       "9                           9.21                         -5.03     1.0   \n",
       "10                         -5.96                        -20.66     1.0   \n",
       "11                          1.88                         -9.45     1.0   \n",
       "12                          1.35                         -9.34     1.0   \n",
       "13                         12.80                          2.95     1.0   \n",
       "14                          2.45                         -9.83     1.0   \n",
       "15                         12.50                         -1.18     1.0   \n",
       "16                         10.68                        -11.80     0.0   \n",
       "17                         14.15                          4.60     1.0   \n",
       "18                         -7.96                        -18.76     1.0   \n",
       "19                         21.39                          0.25     0.0   \n",
       "20                          8.58                         -3.74     1.0   \n",
       "21                          0.43                        -13.18     0.0   \n",
       "22                          2.13                         -9.25     0.0   \n",
       "23                          4.12                        -15.37     0.0   \n",
       "24                         -2.83                        -13.77     0.0   \n",
       "25                         22.19                          6.13     0.0   \n",
       "26                         33.85                         21.32     1.0   \n",
       "27                         -7.50                        -17.00     1.0   \n",
       "28                         13.94                         -3.34     0.0   \n",
       "29                          6.83                         -8.16     0.0   \n",
       "...                          ...                           ...     ...   \n",
       "7128                         NaN                           NaN     NaN   \n",
       "7129                         NaN                           NaN     NaN   \n",
       "7130                         NaN                           NaN     NaN   \n",
       "7131                         NaN                           NaN     NaN   \n",
       "7132                         NaN                           NaN     NaN   \n",
       "7133                         NaN                           NaN     NaN   \n",
       "7134                         NaN                           NaN     NaN   \n",
       "7135                         NaN                           NaN     NaN   \n",
       "7136                         NaN                           NaN     NaN   \n",
       "7137                         NaN                           NaN     NaN   \n",
       "7138                         NaN                           NaN     NaN   \n",
       "7139                         NaN                           NaN     NaN   \n",
       "7140                         NaN                           NaN     NaN   \n",
       "7141                         NaN                           NaN     NaN   \n",
       "7142                         NaN                           NaN     NaN   \n",
       "7143                         NaN                           NaN     NaN   \n",
       "7144                         NaN                           NaN     NaN   \n",
       "7145                         NaN                           NaN     NaN   \n",
       "7146                         NaN                           NaN     NaN   \n",
       "7147                         NaN                           NaN     NaN   \n",
       "7148                         NaN                           NaN     NaN   \n",
       "7149                         NaN                           NaN     NaN   \n",
       "7150                         NaN                           NaN     NaN   \n",
       "7151                         NaN                           NaN     NaN   \n",
       "7152                         NaN                           NaN     NaN   \n",
       "7153                         NaN                           NaN     NaN   \n",
       "7154                         NaN                           NaN     NaN   \n",
       "7155                         NaN                           NaN     NaN   \n",
       "7156                         NaN                           NaN     NaN   \n",
       "7157                         NaN                           NaN     NaN   \n",
       "\n",
       "         ...       Unnamed: 13  Unnamed: 14  Unnamed: 15  Unnamed: 16  \\\n",
       "0        ...               NaN          NaN          NaN          NaN   \n",
       "1        ...               NaN          NaN          NaN          NaN   \n",
       "2        ...               NaN          NaN          NaN          NaN   \n",
       "3        ...               NaN          NaN          NaN          NaN   \n",
       "4        ...               NaN          NaN          NaN          NaN   \n",
       "5        ...               NaN          NaN          NaN          NaN   \n",
       "6        ...               NaN          NaN          NaN          NaN   \n",
       "7        ...               NaN          NaN          NaN          NaN   \n",
       "8        ...               NaN          NaN          NaN          NaN   \n",
       "9        ...               NaN          NaN          NaN          NaN   \n",
       "10       ...               NaN          NaN          NaN          NaN   \n",
       "11       ...               NaN          NaN          NaN          NaN   \n",
       "12       ...               NaN          NaN          NaN          NaN   \n",
       "13       ...               NaN          NaN          NaN          NaN   \n",
       "14       ...               NaN          NaN          NaN          NaN   \n",
       "15       ...               NaN          NaN          NaN          NaN   \n",
       "16       ...               NaN          NaN          NaN          NaN   \n",
       "17       ...               NaN          NaN          NaN          NaN   \n",
       "18       ...               NaN          NaN          NaN          NaN   \n",
       "19       ...               NaN          NaN          NaN          NaN   \n",
       "20       ...               NaN          NaN          NaN          NaN   \n",
       "21       ...               NaN          NaN          NaN          NaN   \n",
       "22       ...               NaN          NaN          NaN          NaN   \n",
       "23       ...               NaN          NaN          NaN          NaN   \n",
       "24       ...               NaN          NaN          NaN          NaN   \n",
       "25       ...               NaN          NaN          NaN          NaN   \n",
       "26       ...               NaN          NaN          NaN          NaN   \n",
       "27       ...               NaN          NaN          NaN          NaN   \n",
       "28       ...               NaN          NaN          NaN          NaN   \n",
       "29       ...               NaN          NaN          NaN          NaN   \n",
       "...      ...               ...          ...          ...          ...   \n",
       "7128     ...               NaN          NaN          NaN          NaN   \n",
       "7129     ...               NaN          NaN          NaN          NaN   \n",
       "7130     ...               NaN          NaN          NaN          NaN   \n",
       "7131     ...               NaN          NaN          NaN          NaN   \n",
       "7132     ...               NaN          NaN          NaN          NaN   \n",
       "7133     ...               NaN          NaN          NaN          NaN   \n",
       "7134     ...               NaN          NaN          NaN          NaN   \n",
       "7135     ...               NaN          NaN          NaN          NaN   \n",
       "7136     ...               NaN          NaN          NaN          NaN   \n",
       "7137     ...               NaN          NaN          NaN          NaN   \n",
       "7138     ...               NaN          NaN          NaN          NaN   \n",
       "7139     ...               NaN          NaN          NaN          NaN   \n",
       "7140     ...               NaN          NaN          NaN          NaN   \n",
       "7141     ...               NaN          NaN          NaN          NaN   \n",
       "7142     ...               NaN          NaN          NaN          NaN   \n",
       "7143     ...               NaN          NaN          NaN          NaN   \n",
       "7144     ...               NaN          NaN          NaN          NaN   \n",
       "7145     ...               NaN          NaN          NaN          NaN   \n",
       "7146     ...               NaN          NaN          NaN          NaN   \n",
       "7147     ...               NaN          NaN          NaN          NaN   \n",
       "7148     ...               NaN          NaN          NaN          NaN   \n",
       "7149     ...               NaN          NaN          NaN          NaN   \n",
       "7150     ...               NaN          NaN          NaN          NaN   \n",
       "7151     ...               NaN          NaN          NaN          NaN   \n",
       "7152     ...               NaN          NaN          NaN          NaN   \n",
       "7153     ...               NaN          NaN          NaN          NaN   \n",
       "7154     ...               NaN          NaN          NaN          NaN   \n",
       "7155     ...               NaN          NaN          NaN          NaN   \n",
       "7156     ...               NaN          NaN          NaN          NaN   \n",
       "7157     ...               NaN          NaN          NaN          NaN   \n",
       "\n",
       "      Unnamed: 17  Unnamed: 18  Unnamed: 19  Unnamed: 20  Unnamed: 21  \\\n",
       "0             NaN          NaN          NaN          NaN          NaN   \n",
       "1             NaN          NaN          NaN          NaN          NaN   \n",
       "2             NaN          NaN          NaN          NaN          NaN   \n",
       "3             NaN          NaN          NaN          NaN          NaN   \n",
       "4             NaN          NaN          NaN          NaN          NaN   \n",
       "5             NaN          NaN          NaN          NaN          NaN   \n",
       "6             NaN          NaN          NaN          NaN          NaN   \n",
       "7             NaN          NaN          NaN          NaN          NaN   \n",
       "8             NaN          NaN          NaN          NaN          NaN   \n",
       "9             NaN          NaN          NaN          NaN          NaN   \n",
       "10            NaN          NaN          NaN          NaN          NaN   \n",
       "11            NaN          NaN          NaN          NaN          NaN   \n",
       "12            NaN          NaN          NaN          NaN          NaN   \n",
       "13            NaN          NaN          NaN          NaN          NaN   \n",
       "14            NaN          NaN          NaN          NaN          NaN   \n",
       "15            NaN          NaN          NaN          NaN          NaN   \n",
       "16            NaN          NaN          NaN          NaN          NaN   \n",
       "17            NaN          NaN          NaN          NaN          NaN   \n",
       "18            NaN          NaN          NaN          NaN          NaN   \n",
       "19            NaN          NaN          NaN          NaN          NaN   \n",
       "20            NaN          NaN          NaN          NaN          NaN   \n",
       "21            NaN          NaN          NaN          NaN          NaN   \n",
       "22            NaN          NaN          NaN          NaN          NaN   \n",
       "23            NaN          NaN          NaN          NaN          NaN   \n",
       "24            NaN          NaN          NaN          NaN          NaN   \n",
       "25            NaN          NaN          NaN          NaN          NaN   \n",
       "26            NaN          NaN          NaN          NaN          NaN   \n",
       "27            NaN          NaN          NaN          NaN          NaN   \n",
       "28            NaN          NaN          NaN          NaN          NaN   \n",
       "29            NaN          NaN          NaN          NaN          NaN   \n",
       "...           ...          ...          ...          ...          ...   \n",
       "7128          NaN          NaN          NaN          NaN          NaN   \n",
       "7129          NaN          NaN          NaN          NaN          NaN   \n",
       "7130          NaN          NaN          NaN          NaN          NaN   \n",
       "7131          NaN          NaN          NaN          NaN          NaN   \n",
       "7132          NaN          NaN          NaN          NaN          NaN   \n",
       "7133          NaN          NaN          NaN          NaN          NaN   \n",
       "7134          NaN          NaN          NaN          NaN          NaN   \n",
       "7135          NaN          NaN          NaN          NaN          NaN   \n",
       "7136          NaN          NaN          NaN          NaN          NaN   \n",
       "7137          NaN          NaN          NaN          NaN          NaN   \n",
       "7138          NaN          NaN          NaN          NaN          NaN   \n",
       "7139          NaN          NaN          NaN          NaN          NaN   \n",
       "7140          NaN          NaN          NaN          NaN          NaN   \n",
       "7141          NaN          NaN          NaN          NaN          NaN   \n",
       "7142          NaN          NaN          NaN          NaN          NaN   \n",
       "7143          NaN          NaN          NaN          NaN          NaN   \n",
       "7144          NaN          NaN          NaN          NaN          NaN   \n",
       "7145          NaN          NaN          NaN          NaN          NaN   \n",
       "7146          NaN          NaN          NaN          NaN          NaN   \n",
       "7147          NaN          NaN          NaN          NaN          NaN   \n",
       "7148          NaN          NaN          NaN          NaN          NaN   \n",
       "7149          NaN          NaN          NaN          NaN          NaN   \n",
       "7150          NaN          NaN          NaN          NaN          NaN   \n",
       "7151          NaN          NaN          NaN          NaN          NaN   \n",
       "7152          NaN          NaN          NaN          NaN          NaN   \n",
       "7153          NaN          NaN          NaN          NaN          NaN   \n",
       "7154          NaN          NaN          NaN          NaN          NaN   \n",
       "7155          NaN          NaN          NaN          NaN          NaN   \n",
       "7156          NaN          NaN          NaN          NaN          NaN   \n",
       "7157          NaN          NaN          NaN          NaN          NaN   \n",
       "\n",
       "      Unnamed: 22  \n",
       "0             NaN  \n",
       "1             NaN  \n",
       "2             NaN  \n",
       "3             NaN  \n",
       "4             NaN  \n",
       "5             NaN  \n",
       "6             NaN  \n",
       "7             NaN  \n",
       "8             NaN  \n",
       "9             NaN  \n",
       "10            NaN  \n",
       "11            NaN  \n",
       "12            NaN  \n",
       "13            NaN  \n",
       "14            NaN  \n",
       "15            NaN  \n",
       "16            NaN  \n",
       "17            NaN  \n",
       "18            NaN  \n",
       "19            NaN  \n",
       "20            NaN  \n",
       "21            NaN  \n",
       "22            NaN  \n",
       "23            NaN  \n",
       "24            NaN  \n",
       "25            NaN  \n",
       "26            NaN  \n",
       "27            NaN  \n",
       "28            NaN  \n",
       "29            NaN  \n",
       "...           ...  \n",
       "7128          NaN  \n",
       "7129          NaN  \n",
       "7130          NaN  \n",
       "7131          NaN  \n",
       "7132          NaN  \n",
       "7133          NaN  \n",
       "7134          NaN  \n",
       "7135          NaN  \n",
       "7136          NaN  \n",
       "7137          NaN  \n",
       "7138          NaN  \n",
       "7139          NaN  \n",
       "7140          NaN  \n",
       "7141          NaN  \n",
       "7142          NaN  \n",
       "7143          NaN  \n",
       "7144          NaN  \n",
       "7145          NaN  \n",
       "7146          NaN  \n",
       "7147          NaN  \n",
       "7148          NaN  \n",
       "7149          NaN  \n",
       "7150          NaN  \n",
       "7151          NaN  \n",
       "7152          NaN  \n",
       "7153          NaN  \n",
       "7154          NaN  \n",
       "7155          NaN  \n",
       "7156          NaN  \n",
       "7157          NaN  \n",
       "\n",
       "[7158 rows x 23 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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