homework_1_feature_extraction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from tsfresh.feature_extraction.extraction import extract_features\n",
    "from tsfresh.feature_extraction.settings import EfficientFCParameters\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "       id  time         0         1         2         3\n",
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       "\n",
       "[90000 rows x 6 columns]"
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     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load the data and concatenate them\n",
    "data_113 = pd.DataFrame(np.loadtxt('dataset/20151026_113_filtered'))\n",
    "data_114 = pd.DataFrame(np.loadtxt('dataset/20151026_114_filtered'))\n",
    "data = pd.concat((data_113, data_114))\n",
    "\n",
    "# Insert id and time column for tsfresh\n",
    "data.insert(0, 'id', np.arange(len(data)) // 3000)\n",
    "data.insert(1, 'time', np.arange(len(data)) % 3000)\n",
    "\n",
    "# Display the data frame\n",
    "data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Feature Extraction:   0%|          | 0/30 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Feature Extraction: 100%|██████████| 30/30 [00:14<00:00,  2.07it/s]\n"
     ]
    },
    {
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       "      <td>1.817970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.020598</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>1.683163</td>\n",
       "      <td>2.048706</td>\n",
       "      <td>2.417883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011626</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>1.277948</td>\n",
       "      <td>1.602192</td>\n",
       "      <td>1.931267</td>\n",
       "      <td>2.255243</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.020764</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>-8.468946e-09</td>\n",
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       "      <td>0.993185</td>\n",
       "      <td>1.321006</td>\n",
       "      <td>1.674953</td>\n",
       "      <td>2.044707</td>\n",
       "      <td>2.404994</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.015081</td>\n",
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       "      <th>5</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-4.545769</td>\n",
       "      <td>2.089350</td>\n",
       "      <td>0.000195</td>\n",
       "      <td>4.304773e-06</td>\n",
       "      <td>8.806716e-09</td>\n",
       "      <td>-0.001692</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.226363</td>\n",
       "      <td>0.940452</td>\n",
       "      <td>1.203141</td>\n",
       "      <td>1.485134</td>\n",
       "      <td>1.779918</td>\n",
       "      <td>2.077994</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.027124</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.429424</td>\n",
       "      <td>1.667661</td>\n",
       "      <td>0.000241</td>\n",
       "      <td>-9.667231e-07</td>\n",
       "      <td>-1.186224e-08</td>\n",
       "      <td>-0.000739</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.226363</td>\n",
       "      <td>0.937931</td>\n",
       "      <td>1.205270</td>\n",
       "      <td>1.495055</td>\n",
       "      <td>1.791514</td>\n",
       "      <td>2.090002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.019913</td>\n",
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       "      <th>7</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.448560</td>\n",
       "      <td>1.385729</td>\n",
       "      <td>0.000175</td>\n",
       "      <td>9.456390e-07</td>\n",
       "      <td>1.915879e-08</td>\n",
       "      <td>-0.000678</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.226363</td>\n",
       "      <td>0.930311</td>\n",
       "      <td>1.190873</td>\n",
       "      <td>1.464357</td>\n",
       "      <td>1.743063</td>\n",
       "      <td>2.020737</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.020852</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.908645</td>\n",
       "      <td>2.584156</td>\n",
       "      <td>0.000259</td>\n",
       "      <td>-1.438270e-06</td>\n",
       "      <td>8.360700e-10</td>\n",
       "      <td>-0.004572</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.918950</td>\n",
       "      <td>1.167897</td>\n",
       "      <td>1.430663</td>\n",
       "      <td>1.697559</td>\n",
       "      <td>1.966710</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022467</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.184440</td>\n",
       "      <td>1.124812</td>\n",
       "      <td>0.000164</td>\n",
       "      <td>2.173301e-05</td>\n",
       "      <td>7.605887e-08</td>\n",
       "      <td>-0.001523</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.170467</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.919706</td>\n",
       "      <td>1.163923</td>\n",
       "      <td>1.419128</td>\n",
       "      <td>1.682475</td>\n",
       "      <td>1.944564</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.023525</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-3.400671</td>\n",
       "      <td>1.400713</td>\n",
       "      <td>0.000189</td>\n",
       "      <td>-2.026707e-05</td>\n",
       "      <td>-5.837918e-08</td>\n",
       "      <td>-0.000834</td>\n",
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       "      <td>0.136002</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.944506</td>\n",
       "      <td>1.219945</td>\n",
       "      <td>1.513964</td>\n",
       "      <td>1.817859</td>\n",
       "      <td>2.115443</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.024112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.953462</td>\n",
       "      <td>0.236227</td>\n",
       "      <td>0.000114</td>\n",
       "      <td>-1.166310e-06</td>\n",
       "      <td>8.598337e-09</td>\n",
       "      <td>0.001000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.125256</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.226363</td>\n",
       "      <td>0.959841</td>\n",
       "      <td>1.251117</td>\n",
       "      <td>1.559808</td>\n",
       "      <td>1.870399</td>\n",
       "      <td>2.185294</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.014208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.012808</td>\n",
       "      <td>3.987091</td>\n",
       "      <td>0.000332</td>\n",
       "      <td>-2.253174e-06</td>\n",
       "      <td>-2.671787e-07</td>\n",
       "      <td>0.000779</td>\n",
       "      <td>...</td>\n",
       "      <td>0.125256</td>\n",
       "      <td>0.125256</td>\n",
       "      <td>0.226363</td>\n",
       "      <td>0.961003</td>\n",
       "      <td>1.251246</td>\n",
       "      <td>1.559302</td>\n",
       "      <td>1.875180</td>\n",
       "      <td>2.187685</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.016779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-16.886697</td>\n",
       "      <td>2.366895</td>\n",
       "      <td>0.000210</td>\n",
       "      <td>1.785648e-06</td>\n",
       "      <td>2.435840e-07</td>\n",
       "      <td>-0.004120</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.955599</td>\n",
       "      <td>1.239579</td>\n",
       "      <td>1.545242</td>\n",
       "      <td>1.861764</td>\n",
       "      <td>2.182213</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.023686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.320516</td>\n",
       "      <td>2.070069</td>\n",
       "      <td>0.000256</td>\n",
       "      <td>-5.064590e-06</td>\n",
       "      <td>2.629511e-08</td>\n",
       "      <td>-0.000208</td>\n",
       "      <td>...</td>\n",
       "      <td>0.125256</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.932261</td>\n",
       "      <td>1.186510</td>\n",
       "      <td>1.464244</td>\n",
       "      <td>1.753783</td>\n",
       "      <td>2.043115</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.017365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.818844</td>\n",
       "      <td>2.592182</td>\n",
       "      <td>0.000260</td>\n",
       "      <td>-1.667872e-05</td>\n",
       "      <td>-3.552371e-08</td>\n",
       "      <td>-0.002140</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.260704</td>\n",
       "      <td>0.955507</td>\n",
       "      <td>1.233954</td>\n",
       "      <td>1.533930</td>\n",
       "      <td>1.840835</td>\n",
       "      <td>2.140793</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.017992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-12.907382</td>\n",
       "      <td>0.755598</td>\n",
       "      <td>0.000109</td>\n",
       "      <td>2.594060e-05</td>\n",
       "      <td>1.669067e-07</td>\n",
       "      <td>0.000260</td>\n",
       "      <td>...</td>\n",
       "      <td>0.045395</td>\n",
       "      <td>0.125256</td>\n",
       "      <td>0.181214</td>\n",
       "      <td>0.917898</td>\n",
       "      <td>1.161772</td>\n",
       "      <td>1.424711</td>\n",
       "      <td>1.691046</td>\n",
       "      <td>1.954642</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.026083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.013052</td>\n",
       "      <td>0.968608</td>\n",
       "      <td>0.000173</td>\n",
       "      <td>-8.549585e-06</td>\n",
       "      <td>-1.486353e-07</td>\n",
       "      <td>0.000416</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.260704</td>\n",
       "      <td>0.892569</td>\n",
       "      <td>1.107874</td>\n",
       "      <td>1.327762</td>\n",
       "      <td>1.554188</td>\n",
       "      <td>1.785142</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.027018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-4.312286</td>\n",
       "      <td>1.320471</td>\n",
       "      <td>0.000163</td>\n",
       "      <td>9.535266e-07</td>\n",
       "      <td>1.421414e-08</td>\n",
       "      <td>-0.002276</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.899785</td>\n",
       "      <td>1.123616</td>\n",
       "      <td>1.357145</td>\n",
       "      <td>1.600608</td>\n",
       "      <td>1.844367</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.026156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.209726</td>\n",
       "      <td>2.789656</td>\n",
       "      <td>0.000264</td>\n",
       "      <td>-1.591379e-06</td>\n",
       "      <td>9.002893e-09</td>\n",
       "      <td>-0.001422</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.260704</td>\n",
       "      <td>0.913996</td>\n",
       "      <td>1.150906</td>\n",
       "      <td>1.405419</td>\n",
       "      <td>1.665671</td>\n",
       "      <td>1.927045</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.027722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.747636</td>\n",
       "      <td>0.489684</td>\n",
       "      <td>0.000154</td>\n",
       "      <td>1.353745e-06</td>\n",
       "      <td>-1.735898e-08</td>\n",
       "      <td>-0.000165</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.170467</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.924043</td>\n",
       "      <td>1.172730</td>\n",
       "      <td>1.443762</td>\n",
       "      <td>1.720430</td>\n",
       "      <td>2.002986</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.125928</td>\n",
       "      <td>0.872864</td>\n",
       "      <td>0.000177</td>\n",
       "      <td>-3.424497e-06</td>\n",
       "      <td>1.491629e-08</td>\n",
       "      <td>-0.002353</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.170467</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.942402</td>\n",
       "      <td>1.216864</td>\n",
       "      <td>1.501079</td>\n",
       "      <td>1.789855</td>\n",
       "      <td>2.076746</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.023719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.734082</td>\n",
       "      <td>2.669778</td>\n",
       "      <td>0.000207</td>\n",
       "      <td>3.546502e-06</td>\n",
       "      <td>-7.559037e-09</td>\n",
       "      <td>-0.000312</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.930264</td>\n",
       "      <td>1.189393</td>\n",
       "      <td>1.457758</td>\n",
       "      <td>1.731796</td>\n",
       "      <td>2.010756</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.017178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.240616</td>\n",
       "      <td>1.879076</td>\n",
       "      <td>0.000228</td>\n",
       "      <td>-1.928974e-06</td>\n",
       "      <td>-7.750640e-10</td>\n",
       "      <td>-0.001561</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.939966</td>\n",
       "      <td>1.210575</td>\n",
       "      <td>1.491134</td>\n",
       "      <td>1.776841</td>\n",
       "      <td>2.062069</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.026817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.522722</td>\n",
       "      <td>1.750850</td>\n",
       "      <td>0.000246</td>\n",
       "      <td>7.416220e-07</td>\n",
       "      <td>1.686411e-09</td>\n",
       "      <td>-0.001815</td>\n",
       "      <td>...</td>\n",
       "      <td>0.125256</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.922896</td>\n",
       "      <td>1.174060</td>\n",
       "      <td>1.436192</td>\n",
       "      <td>1.706338</td>\n",
       "      <td>1.974459</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.022420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.185706</td>\n",
       "      <td>1.332846</td>\n",
       "      <td>0.000207</td>\n",
       "      <td>-2.532802e-06</td>\n",
       "      <td>4.310374e-09</td>\n",
       "      <td>-0.001381</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.226363</td>\n",
       "      <td>0.927344</td>\n",
       "      <td>1.177503</td>\n",
       "      <td>1.441198</td>\n",
       "      <td>1.716631</td>\n",
       "      <td>1.995279</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.021829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-1.564972</td>\n",
       "      <td>1.669175</td>\n",
       "      <td>0.000180</td>\n",
       "      <td>1.838620e-06</td>\n",
       "      <td>1.119625e-08</td>\n",
       "      <td>-0.000641</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.924860</td>\n",
       "      <td>1.177694</td>\n",
       "      <td>1.446434</td>\n",
       "      <td>1.722741</td>\n",
       "      <td>1.999966</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.016798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.591274</td>\n",
       "      <td>1.346135</td>\n",
       "      <td>0.000220</td>\n",
       "      <td>-7.694455e-07</td>\n",
       "      <td>5.386666e-09</td>\n",
       "      <td>-0.001600</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.271451</td>\n",
       "      <td>0.920124</td>\n",
       "      <td>1.167972</td>\n",
       "      <td>1.432256</td>\n",
       "      <td>1.695831</td>\n",
       "      <td>1.965194</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.018711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.451448</td>\n",
       "      <td>1.716756</td>\n",
       "      <td>0.000228</td>\n",
       "      <td>-4.221153e-06</td>\n",
       "      <td>1.892601e-08</td>\n",
       "      <td>-0.001239</td>\n",
       "      <td>...</td>\n",
       "      <td>0.090729</td>\n",
       "      <td>0.136002</td>\n",
       "      <td>0.226363</td>\n",
       "      <td>0.939204</td>\n",
       "      <td>1.206553</td>\n",
       "      <td>1.488204</td>\n",
       "      <td>1.780449</td>\n",
       "      <td>2.068556</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.025373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-4.741843</td>\n",
       "      <td>2.063713</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>4.188954e-06</td>\n",
       "      <td>-2.661084e-08</td>\n",
       "      <td>-0.000162</td>\n",
       "      <td>...</td>\n",
       "      <td>0.045395</td>\n",
       "      <td>0.125256</td>\n",
       "      <td>0.226363</td>\n",
       "      <td>0.935764</td>\n",
       "      <td>1.202280</td>\n",
       "      <td>1.478113</td>\n",
       "      <td>1.757415</td>\n",
       "      <td>2.043642</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.021589</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30 rows × 3108 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    0__variance_larger_than_standard_deviation  0__has_duplicate_max  \\\n",
       "0                                          0.0                   0.0   \n",
       "1                                          0.0                   0.0   \n",
       "2                                          0.0                   0.0   \n",
       "3                                          0.0                   0.0   \n",
       "4                                          0.0                   0.0   \n",
       "5                                          0.0                   0.0   \n",
       "6                                          0.0                   0.0   \n",
       "7                                          0.0                   0.0   \n",
       "8                                          0.0                   0.0   \n",
       "9                                          0.0                   0.0   \n",
       "10                                         0.0                   0.0   \n",
       "11                                         0.0                   0.0   \n",
       "12                                         0.0                   0.0   \n",
       "13                                         0.0                   0.0   \n",
       "14                                         0.0                   0.0   \n",
       "15                                         0.0                   0.0   \n",
       "16                                         0.0                   0.0   \n",
       "17                                         0.0                   0.0   \n",
       "18                                         0.0                   0.0   \n",
       "19                                         0.0                   0.0   \n",
       "20                                         0.0                   0.0   \n",
       "21                                         0.0                   0.0   \n",
       "22                                         0.0                   0.0   \n",
       "23                                         0.0                   0.0   \n",
       "24                                         0.0                   0.0   \n",
       "25                                         0.0                   0.0   \n",
       "26                                         0.0                   0.0   \n",
       "27                                         0.0                   0.0   \n",
       "28                                         0.0                   0.0   \n",
       "29                                         0.0                   0.0   \n",
       "\n",
       "    0__has_duplicate_min  0__has_duplicate  0__sum_values  0__abs_energy  \\\n",
       "0                    0.0               0.0       0.568921       1.216524   \n",
       "1                    0.0               0.0       7.350696       1.845773   \n",
       "2                    0.0               0.0      -9.779482       1.021159   \n",
       "3                    0.0               0.0      -2.848132       3.232514   \n",
       "4                    0.0               0.0       7.006622       1.503898   \n",
       "5                    0.0               0.0      -4.545769       2.089350   \n",
       "6                    0.0               0.0       1.429424       1.667661   \n",
       "7                    0.0               0.0      -0.448560       1.385729   \n",
       "8                    0.0               0.0       1.908645       2.584156   \n",
       "9                    0.0               0.0      -0.184440       1.124812   \n",
       "10                   0.0               0.0      -3.400671       1.400713   \n",
       "11                   0.0               0.0       3.953462       0.236227   \n",
       "12                   0.0               0.0      12.012808       3.987091   \n",
       "13                   0.0               0.0     -16.886697       2.366895   \n",
       "14                   0.0               0.0       7.320516       2.070069   \n",
       "15                   0.0               0.0      11.818844       2.592182   \n",
       "16                   0.0               0.0     -12.907382       0.755598   \n",
       "17                   0.0               0.0       4.013052       0.968608   \n",
       "18                   0.0               0.0      -4.312286       1.320471   \n",
       "19                   0.0               0.0      -0.209726       2.789656   \n",
       "20                   0.0               0.0       0.747636       0.489684   \n",
       "21                   0.0               0.0      -1.125928       0.872864   \n",
       "22                   0.0               0.0      -0.734082       2.669778   \n",
       "23                   0.0               0.0       2.240616       1.879076   \n",
       "24                   0.0               0.0       0.522722       1.750850   \n",
       "25                   0.0               0.0       0.185706       1.332846   \n",
       "26                   0.0               0.0      -1.564972       1.669175   \n",
       "27                   0.0               0.0       0.591274       1.346135   \n",
       "28                   0.0               0.0       0.451448       1.716756   \n",
       "29                   0.0               0.0      -4.741843       2.063713   \n",
       "\n",
       "    0__mean_abs_change  0__mean_change  0__mean_second_derivative_central  \\\n",
       "0             0.000198    2.619261e-06                      -1.995214e-08   \n",
       "1             0.000234   -5.770114e-06                      -1.646191e-07   \n",
       "2             0.000163    3.311915e-06                       1.593570e-07   \n",
       "3             0.000266   -2.653396e-06                      -4.938843e-09   \n",
       "4             0.000234   -1.170815e-06                      -8.468946e-09   \n",
       "5             0.000195    4.304773e-06                       8.806716e-09   \n",
       "6             0.000241   -9.667231e-07                      -1.186224e-08   \n",
       "7             0.000175    9.456390e-07                       1.915879e-08   \n",
       "8             0.000259   -1.438270e-06                       8.360700e-10   \n",
       "9             0.000164    2.173301e-05                       7.605887e-08   \n",
       "10            0.000189   -2.026707e-05                      -5.837918e-08   \n",
       "11            0.000114   -1.166310e-06                       8.598337e-09   \n",
       "12            0.000332   -2.253174e-06                      -2.671787e-07   \n",
       "13            0.000210    1.785648e-06                       2.435840e-07   \n",
       "14            0.000256   -5.064590e-06                       2.629511e-08   \n",
       "15            0.000260   -1.667872e-05                      -3.552371e-08   \n",
       "16            0.000109    2.594060e-05                       1.669067e-07   \n",
       "17            0.000173   -8.549585e-06                      -1.486353e-07   \n",
       "18            0.000163    9.535266e-07                       1.421414e-08   \n",
       "19            0.000264   -1.591379e-06                       9.002893e-09   \n",
       "20            0.000154    1.353745e-06                      -1.735898e-08   \n",
       "21            0.000177   -3.424497e-06                       1.491629e-08   \n",
       "22            0.000207    3.546502e-06                      -7.559037e-09   \n",
       "23            0.000228   -1.928974e-06                      -7.750640e-10   \n",
       "24            0.000246    7.416220e-07                       1.686411e-09   \n",
       "25            0.000207   -2.532802e-06                       4.310374e-09   \n",
       "26            0.000180    1.838620e-06                       1.119625e-08   \n",
       "27            0.000220   -7.694455e-07                       5.386666e-09   \n",
       "28            0.000228   -4.221153e-06                       1.892601e-08   \n",
       "29            0.000200    4.188954e-06                      -2.661084e-08   \n",
       "\n",
       "    0__median  ...  3__fourier_entropy__bins_5  3__fourier_entropy__bins_10  \\\n",
       "0   -0.002367  ...                    0.090729                     0.136002   \n",
       "1   -0.000420  ...                    0.090729                     0.170467   \n",
       "2   -0.002806  ...                    0.125256                     0.181214   \n",
       "3   -0.002813  ...                    0.090729                     0.136002   \n",
       "4    0.000096  ...                    0.090729                     0.136002   \n",
       "5   -0.001692  ...                    0.090729                     0.136002   \n",
       "6   -0.000739  ...                    0.090729                     0.136002   \n",
       "7   -0.000678  ...                    0.090729                     0.136002   \n",
       "8   -0.004572  ...                    0.090729                     0.136002   \n",
       "9   -0.001523  ...                    0.090729                     0.170467   \n",
       "10  -0.000834  ...                    0.125256                     0.136002   \n",
       "11   0.001000  ...                    0.125256                     0.136002   \n",
       "12   0.000779  ...                    0.125256                     0.125256   \n",
       "13  -0.004120  ...                    0.090729                     0.136002   \n",
       "14  -0.000208  ...                    0.125256                     0.136002   \n",
       "15  -0.002140  ...                    0.090729                     0.136002   \n",
       "16   0.000260  ...                    0.045395                     0.125256   \n",
       "17   0.000416  ...                    0.090729                     0.136002   \n",
       "18  -0.002276  ...                    0.090729                     0.136002   \n",
       "19  -0.001422  ...                    0.090729                     0.136002   \n",
       "20  -0.000165  ...                    0.090729                     0.170467   \n",
       "21  -0.002353  ...                    0.090729                     0.170467   \n",
       "22  -0.000312  ...                    0.090729                     0.136002   \n",
       "23  -0.001561  ...                    0.090729                     0.136002   \n",
       "24  -0.001815  ...                    0.125256                     0.136002   \n",
       "25  -0.001381  ...                    0.090729                     0.136002   \n",
       "26  -0.000641  ...                    0.090729                     0.136002   \n",
       "27  -0.001600  ...                    0.090729                     0.136002   \n",
       "28  -0.001239  ...                    0.090729                     0.136002   \n",
       "29  -0.000162  ...                    0.045395                     0.125256   \n",
       "\n",
       "    3__fourier_entropy__bins_100  3__permutation_entropy__dimension_3__tau_1  \\\n",
       "0                       0.226363                                    0.907913   \n",
       "1                       0.226363                                    0.893071   \n",
       "2                       0.271451                                    1.000451   \n",
       "3                       0.271451                                    0.973228   \n",
       "4                       0.226363                                    0.993185   \n",
       "5                       0.226363                                    0.940452   \n",
       "6                       0.226363                                    0.937931   \n",
       "7                       0.226363                                    0.930311   \n",
       "8                       0.271451                                    0.918950   \n",
       "9                       0.271451                                    0.919706   \n",
       "10                      0.271451                                    0.944506   \n",
       "11                      0.226363                                    0.959841   \n",
       "12                      0.226363                                    0.961003   \n",
       "13                      0.271451                                    0.955599   \n",
       "14                      0.271451                                    0.932261   \n",
       "15                      0.260704                                    0.955507   \n",
       "16                      0.181214                                    0.917898   \n",
       "17                      0.260704                                    0.892569   \n",
       "18                      0.271451                                    0.899785   \n",
       "19                      0.260704                                    0.913996   \n",
       "20                      0.271451                                    0.924043   \n",
       "21                      0.271451                                    0.942402   \n",
       "22                      0.271451                                    0.930264   \n",
       "23                      0.271451                                    0.939966   \n",
       "24                      0.271451                                    0.922896   \n",
       "25                      0.226363                                    0.927344   \n",
       "26                      0.271451                                    0.924860   \n",
       "27                      0.271451                                    0.920124   \n",
       "28                      0.226363                                    0.939204   \n",
       "29                      0.226363                                    0.935764   \n",
       "\n",
       "    3__permutation_entropy__dimension_4__tau_1  \\\n",
       "0                                     1.139045   \n",
       "1                                     1.110357   \n",
       "2                                     1.331939   \n",
       "3                                     1.277948   \n",
       "4                                     1.321006   \n",
       "5                                     1.203141   \n",
       "6                                     1.205270   \n",
       "7                                     1.190873   \n",
       "8                                     1.167897   \n",
       "9                                     1.163923   \n",
       "10                                    1.219945   \n",
       "11                                    1.251117   \n",
       "12                                    1.251246   \n",
       "13                                    1.239579   \n",
       "14                                    1.186510   \n",
       "15                                    1.233954   \n",
       "16                                    1.161772   \n",
       "17                                    1.107874   \n",
       "18                                    1.123616   \n",
       "19                                    1.150906   \n",
       "20                                    1.172730   \n",
       "21                                    1.216864   \n",
       "22                                    1.189393   \n",
       "23                                    1.210575   \n",
       "24                                    1.174060   \n",
       "25                                    1.177503   \n",
       "26                                    1.177694   \n",
       "27                                    1.167972   \n",
       "28                                    1.206553   \n",
       "29                                    1.202280   \n",
       "\n",
       "    3__permutation_entropy__dimension_5__tau_1  \\\n",
       "0                                     1.386091   \n",
       "1                                     1.344094   \n",
       "2                                     1.683163   \n",
       "3                                     1.602192   \n",
       "4                                     1.674953   \n",
       "5                                     1.485134   \n",
       "6                                     1.495055   \n",
       "7                                     1.464357   \n",
       "8                                     1.430663   \n",
       "9                                     1.419128   \n",
       "10                                    1.513964   \n",
       "11                                    1.559808   \n",
       "12                                    1.559302   \n",
       "13                                    1.545242   \n",
       "14                                    1.464244   \n",
       "15                                    1.533930   \n",
       "16                                    1.424711   \n",
       "17                                    1.327762   \n",
       "18                                    1.357145   \n",
       "19                                    1.405419   \n",
       "20                                    1.443762   \n",
       "21                                    1.501079   \n",
       "22                                    1.457758   \n",
       "23                                    1.491134   \n",
       "24                                    1.436192   \n",
       "25                                    1.441198   \n",
       "26                                    1.446434   \n",
       "27                                    1.432256   \n",
       "28                                    1.488204   \n",
       "29                                    1.478113   \n",
       "\n",
       "    3__permutation_entropy__dimension_6__tau_1  \\\n",
       "0                                     1.629261   \n",
       "1                                     1.581756   \n",
       "2                                     2.048706   \n",
       "3                                     1.931267   \n",
       "4                                     2.044707   \n",
       "5                                     1.779918   \n",
       "6                                     1.791514   \n",
       "7                                     1.743063   \n",
       "8                                     1.697559   \n",
       "9                                     1.682475   \n",
       "10                                    1.817859   \n",
       "11                                    1.870399   \n",
       "12                                    1.875180   \n",
       "13                                    1.861764   \n",
       "14                                    1.753783   \n",
       "15                                    1.840835   \n",
       "16                                    1.691046   \n",
       "17                                    1.554188   \n",
       "18                                    1.600608   \n",
       "19                                    1.665671   \n",
       "20                                    1.720430   \n",
       "21                                    1.789855   \n",
       "22                                    1.731796   \n",
       "23                                    1.776841   \n",
       "24                                    1.706338   \n",
       "25                                    1.716631   \n",
       "26                                    1.722741   \n",
       "27                                    1.695831   \n",
       "28                                    1.780449   \n",
       "29                                    1.757415   \n",
       "\n",
       "    3__permutation_entropy__dimension_7__tau_1  \\\n",
       "0                                     1.871273   \n",
       "1                                     1.817970   \n",
       "2                                     2.417883   \n",
       "3                                     2.255243   \n",
       "4                                     2.404994   \n",
       "5                                     2.077994   \n",
       "6                                     2.090002   \n",
       "7                                     2.020737   \n",
       "8                                     1.966710   \n",
       "9                                     1.944564   \n",
       "10                                    2.115443   \n",
       "11                                    2.185294   \n",
       "12                                    2.187685   \n",
       "13                                    2.182213   \n",
       "14                                    2.043115   \n",
       "15                                    2.140793   \n",
       "16                                    1.954642   \n",
       "17                                    1.785142   \n",
       "18                                    1.844367   \n",
       "19                                    1.927045   \n",
       "20                                    2.002986   \n",
       "21                                    2.076746   \n",
       "22                                    2.010756   \n",
       "23                                    2.062069   \n",
       "24                                    1.974459   \n",
       "25                                    1.995279   \n",
       "26                                    1.999966   \n",
       "27                                    1.965194   \n",
       "28                                    2.068556   \n",
       "29                                    2.043642   \n",
       "\n",
       "    3__query_similarity_count__query_None__threshold_0.0  \\\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",
       "    3__mean_n_absolute_max__number_of_maxima_7  \n",
       "0                                     0.020573  \n",
       "1                                     0.020598  \n",
       "2                                     0.011626  \n",
       "3                                     0.020764  \n",
       "4                                     0.015081  \n",
       "5                                     0.027124  \n",
       "6                                     0.019913  \n",
       "7                                     0.020852  \n",
       "8                                     0.022467  \n",
       "9                                     0.023525  \n",
       "10                                    0.024112  \n",
       "11                                    0.014208  \n",
       "12                                    0.016779  \n",
       "13                                    0.023686  \n",
       "14                                    0.017365  \n",
       "15                                    0.017992  \n",
       "16                                    0.026083  \n",
       "17                                    0.027018  \n",
       "18                                    0.026156  \n",
       "19                                    0.027722  \n",
       "20                                    0.022892  \n",
       "21                                    0.023719  \n",
       "22                                    0.017178  \n",
       "23                                    0.026817  \n",
       "24                                    0.022420  \n",
       "25                                    0.021829  \n",
       "26                                    0.016798  \n",
       "27                                    0.018711  \n",
       "28                                    0.025373  \n",
       "29                                    0.021589  \n",
       "\n",
       "[30 rows x 3108 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use EfficientFCParameters to skip the time consuming features\n",
    "parameters = EfficientFCParameters()\n",
    "# Extract features\n",
    "features = extract_features(data,\n",
    "                            default_fc_parameters=parameters,\n",
    "                            column_id='id', column_sort='time')\n",
    "\n",
    "# Display the extracted features\n",
    "features\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2__fft_aggregated__aggtype_\"variance\"          1.075497e+09\n",
       "3__fft_aggregated__aggtype_\"variance\"          1.057590e+09\n",
       "0__fft_aggregated__aggtype_\"variance\"          1.009440e+09\n",
       "1__fft_aggregated__aggtype_\"variance\"          9.151313e+08\n",
       "0__longest_strike_below_mean                   7.977391e+04\n",
       "0__count_below_mean                            7.905863e+04\n",
       "0__count_above_mean                            7.905863e+04\n",
       "1__count_below_mean                            6.999763e+04\n",
       "1__count_above_mean                            6.999763e+04\n",
       "1__longest_strike_above_mean                   5.629798e+04\n",
       "1__range_count__max_0__min_-1000000000000.0    5.611122e+04\n",
       "1__range_count__max_1000000000000.0__min_0     5.611122e+04\n",
       "0__longest_strike_above_mean                   5.555765e+04\n",
       "0__range_count__max_1000000000000.0__min_0     4.655526e+04\n",
       "0__range_count__max_0__min_-1000000000000.0    4.655526e+04\n",
       "1__longest_strike_below_mean                   3.392430e+04\n",
       "2__longest_strike_below_mean                   2.591646e+04\n",
       "2__range_count__max_0__min_-1000000000000.0    2.354575e+04\n",
       "2__range_count__max_1000000000000.0__min_0     2.354575e+04\n",
       "3__range_count__max_1000000000000.0__min_0     2.348881e+04\n",
       "3__range_count__max_0__min_-1000000000000.0    2.348881e+04\n",
       "2__fft_coefficient__attr_\"angle\"__coeff_60     2.278214e+04\n",
       "3__fft_coefficient__attr_\"angle\"__coeff_60     2.148246e+04\n",
       "3__fft_coefficient__attr_\"angle\"__coeff_40     2.145017e+04\n",
       "0__variation_coefficient                       1.804275e+04\n",
       "2__fft_coefficient__attr_\"angle\"__coeff_40     1.769623e+04\n",
       "1__variation_coefficient                       1.697902e+04\n",
       "3__fft_coefficient__attr_\"angle\"__coeff_39     1.602498e+04\n",
       "2__fft_coefficient__attr_\"angle\"__coeff_39     1.593564e+04\n",
       "2__fft_coefficient__attr_\"angle\"__coeff_63     1.570088e+04\n",
       "dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the variance of each feature\n",
    "variances = features.var()\n",
    "# Sort the variances in descending order\n",
    "variances = variances.sort_values(ascending=False)\n",
    "\n",
    "# Display the top 30 features with the highest variance\n",
    "variances[0:30]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0__fft_aggregated__aggtype_\"variance\"</th>\n",
       "      <th>1__fft_aggregated__aggtype_\"variance\"</th>\n",
       "      <th>2__fft_aggregated__aggtype_\"variance\"</th>\n",
       "      <th>3__fft_aggregated__aggtype_\"variance\"</th>\n",
       "      <th>0__variation_coefficient</th>\n",
       "      <th>1__variation_coefficient</th>\n",
       "      <th>2__variation_coefficient</th>\n",
       "      <th>3__variation_coefficient</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22575.050697</td>\n",
       "      <td>35705.584685</td>\n",
       "      <td>13425.090723</td>\n",
       "      <td>19204.269605</td>\n",
       "      <td>106.181651</td>\n",
       "      <td>182.748791</td>\n",
       "      <td>75.356723</td>\n",
       "      <td>31.836092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>37893.889534</td>\n",
       "      <td>65505.658250</td>\n",
       "      <td>22182.918249</td>\n",
       "      <td>28213.452732</td>\n",
       "      <td>10.073767</td>\n",
       "      <td>14.475115</td>\n",
       "      <td>37.849488</td>\n",
       "      <td>74.150433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>26905.288445</td>\n",
       "      <td>7237.994754</td>\n",
       "      <td>81507.793271</td>\n",
       "      <td>84227.963781</td>\n",
       "      <td>-5.570631</td>\n",
       "      <td>-6.631324</td>\n",
       "      <td>-7.145022</td>\n",
       "      <td>-7.172510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13710.611320</td>\n",
       "      <td>20878.687023</td>\n",
       "      <td>66238.733607</td>\n",
       "      <td>66318.001130</td>\n",
       "      <td>-34.561218</td>\n",
       "      <td>293.191301</td>\n",
       "      <td>12.318029</td>\n",
       "      <td>12.697326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9989.818671</td>\n",
       "      <td>6075.172805</td>\n",
       "      <td>8916.691314</td>\n",
       "      <td>9042.624440</td>\n",
       "      <td>9.534226</td>\n",
       "      <td>17.043309</td>\n",
       "      <td>49.876610</td>\n",
       "      <td>43.699119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>25844.481800</td>\n",
       "      <td>19980.157861</td>\n",
       "      <td>65556.691274</td>\n",
       "      <td>66556.955412</td>\n",
       "      <td>-17.387686</td>\n",
       "      <td>-40.637654</td>\n",
       "      <td>-10.747828</td>\n",
       "      <td>-10.689283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7968.974339</td>\n",
       "      <td>4343.530002</td>\n",
       "      <td>39578.331617</td>\n",
       "      <td>42834.252968</td>\n",
       "      <td>49.472592</td>\n",
       "      <td>-36.028234</td>\n",
       "      <td>29.992263</td>\n",
       "      <td>29.039480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8002.688667</td>\n",
       "      <td>1233.362463</td>\n",
       "      <td>87318.504755</td>\n",
       "      <td>87286.963799</td>\n",
       "      <td>-143.736995</td>\n",
       "      <td>175.111779</td>\n",
       "      <td>10.679892</td>\n",
       "      <td>10.878656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9395.315218</td>\n",
       "      <td>1090.899305</td>\n",
       "      <td>55803.410155</td>\n",
       "      <td>55320.120371</td>\n",
       "      <td>46.120379</td>\n",
       "      <td>22.923089</td>\n",
       "      <td>-11.944279</td>\n",
       "      <td>-12.000276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>106138.759564</td>\n",
       "      <td>92835.244609</td>\n",
       "      <td>25999.995624</td>\n",
       "      <td>28066.944225</td>\n",
       "      <td>-314.951936</td>\n",
       "      <td>-342.275490</td>\n",
       "      <td>8.233186</td>\n",
       "      <td>8.168991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>98065.617663</td>\n",
       "      <td>84882.184405</td>\n",
       "      <td>14180.020446</td>\n",
       "      <td>11006.891223</td>\n",
       "      <td>-19.035846</td>\n",
       "      <td>-18.954442</td>\n",
       "      <td>-16.723793</td>\n",
       "      <td>-16.524502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>22637.127371</td>\n",
       "      <td>28628.759654</td>\n",
       "      <td>66438.084658</td>\n",
       "      <td>68040.168663</td>\n",
       "      <td>6.658937</td>\n",
       "      <td>8.527781</td>\n",
       "      <td>-11.499456</td>\n",
       "      <td>-11.594901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12653.526223</td>\n",
       "      <td>19230.699542</td>\n",
       "      <td>20916.833480</td>\n",
       "      <td>23836.811049</td>\n",
       "      <td>9.049163</td>\n",
       "      <td>7.792711</td>\n",
       "      <td>9.557787</td>\n",
       "      <td>9.320537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>9845.065216</td>\n",
       "      <td>18951.699136</td>\n",
       "      <td>51189.874598</td>\n",
       "      <td>53109.457238</td>\n",
       "      <td>-4.888830</td>\n",
       "      <td>-4.407826</td>\n",
       "      <td>-12.085639</td>\n",
       "      <td>-11.638499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>30607.398023</td>\n",
       "      <td>27995.768128</td>\n",
       "      <td>108975.751362</td>\n",
       "      <td>108788.993254</td>\n",
       "      <td>10.718386</td>\n",
       "      <td>11.742435</td>\n",
       "      <td>36.708212</td>\n",
       "      <td>35.719618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>71687.858834</td>\n",
       "      <td>79774.750460</td>\n",
       "      <td>27889.880961</td>\n",
       "      <td>35517.325052</td>\n",
       "      <td>7.394050</td>\n",
       "      <td>7.320585</td>\n",
       "      <td>20.210697</td>\n",
       "      <td>9.185976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>131779.955342</td>\n",
       "      <td>117311.194454</td>\n",
       "      <td>80040.274767</td>\n",
       "      <td>77181.849234</td>\n",
       "      <td>-3.550516</td>\n",
       "      <td>-3.122933</td>\n",
       "      <td>-8.350454</td>\n",
       "      <td>-7.775450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>61867.409982</td>\n",
       "      <td>8362.906526</td>\n",
       "      <td>31543.059813</td>\n",
       "      <td>25849.441028</td>\n",
       "      <td>13.395316</td>\n",
       "      <td>4.620738</td>\n",
       "      <td>-119.804082</td>\n",
       "      <td>-91.761664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>8522.771804</td>\n",
       "      <td>14190.586605</td>\n",
       "      <td>73416.255369</td>\n",
       "      <td>75900.946076</td>\n",
       "      <td>-14.561150</td>\n",
       "      <td>-12.190981</td>\n",
       "      <td>4.733978</td>\n",
       "      <td>4.710030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>10050.075498</td>\n",
       "      <td>3303.997687</td>\n",
       "      <td>28116.351660</td>\n",
       "      <td>28556.434564</td>\n",
       "      <td>-436.197473</td>\n",
       "      <td>-47.464428</td>\n",
       "      <td>-5.885416</td>\n",
       "      <td>-5.843271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20067.173664</td>\n",
       "      <td>31328.649433</td>\n",
       "      <td>113894.131124</td>\n",
       "      <td>114440.855392</td>\n",
       "      <td>51.256155</td>\n",
       "      <td>450.915197</td>\n",
       "      <td>17.711090</td>\n",
       "      <td>17.464948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>31951.568956</td>\n",
       "      <td>51768.645058</td>\n",
       "      <td>114009.241478</td>\n",
       "      <td>113662.257630</td>\n",
       "      <td>-45.437871</td>\n",
       "      <td>191.048450</td>\n",
       "      <td>-51.931689</td>\n",
       "      <td>-53.761328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20645.356509</td>\n",
       "      <td>21259.549414</td>\n",
       "      <td>14984.700338</td>\n",
       "      <td>13004.534675</td>\n",
       "      <td>-121.909842</td>\n",
       "      <td>-27.206351</td>\n",
       "      <td>-13.963836</td>\n",
       "      <td>-13.785892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>14579.287010</td>\n",
       "      <td>23742.334531</td>\n",
       "      <td>93062.996261</td>\n",
       "      <td>93687.876483</td>\n",
       "      <td>33.494378</td>\n",
       "      <td>12.569901</td>\n",
       "      <td>9.621071</td>\n",
       "      <td>9.869751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>6018.158512</td>\n",
       "      <td>21353.103869</td>\n",
       "      <td>94352.849945</td>\n",
       "      <td>95371.089622</td>\n",
       "      <td>138.644525</td>\n",
       "      <td>50.349853</td>\n",
       "      <td>13.472581</td>\n",
       "      <td>13.207025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>20980.166643</td>\n",
       "      <td>15793.787788</td>\n",
       "      <td>18641.929251</td>\n",
       "      <td>17365.787259</td>\n",
       "      <td>340.503723</td>\n",
       "      <td>-16.317236</td>\n",
       "      <td>-5.389716</td>\n",
       "      <td>-5.402455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>13410.945457</td>\n",
       "      <td>9748.813336</td>\n",
       "      <td>64519.204818</td>\n",
       "      <td>64938.522511</td>\n",
       "      <td>-45.206288</td>\n",
       "      <td>24.605476</td>\n",
       "      <td>7.584503</td>\n",
       "      <td>7.595434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>6814.693870</td>\n",
       "      <td>10913.172960</td>\n",
       "      <td>88301.798051</td>\n",
       "      <td>86593.895831</td>\n",
       "      <td>107.472603</td>\n",
       "      <td>-17.087729</td>\n",
       "      <td>-33.207365</td>\n",
       "      <td>-30.651355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>30280.948095</td>\n",
       "      <td>2570.109470</td>\n",
       "      <td>48069.279840</td>\n",
       "      <td>44739.171341</td>\n",
       "      <td>158.963837</td>\n",
       "      <td>22.138985</td>\n",
       "      <td>593.719382</td>\n",
       "      <td>144.353761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>25708.106197</td>\n",
       "      <td>5549.151249</td>\n",
       "      <td>71465.837676</td>\n",
       "      <td>73491.620633</td>\n",
       "      <td>-16.563344</td>\n",
       "      <td>-20.390604</td>\n",
       "      <td>-33.165589</td>\n",
       "      <td>-29.887110</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    0__fft_aggregated__aggtype_\"variance\"  \\\n",
       "0                            22575.050697   \n",
       "1                            37893.889534   \n",
       "2                            26905.288445   \n",
       "3                            13710.611320   \n",
       "4                             9989.818671   \n",
       "5                            25844.481800   \n",
       "6                             7968.974339   \n",
       "7                             8002.688667   \n",
       "8                             9395.315218   \n",
       "9                           106138.759564   \n",
       "10                           98065.617663   \n",
       "11                           22637.127371   \n",
       "12                           12653.526223   \n",
       "13                            9845.065216   \n",
       "14                           30607.398023   \n",
       "15                           71687.858834   \n",
       "16                          131779.955342   \n",
       "17                           61867.409982   \n",
       "18                            8522.771804   \n",
       "19                           10050.075498   \n",
       "20                           20067.173664   \n",
       "21                           31951.568956   \n",
       "22                           20645.356509   \n",
       "23                           14579.287010   \n",
       "24                            6018.158512   \n",
       "25                           20980.166643   \n",
       "26                           13410.945457   \n",
       "27                            6814.693870   \n",
       "28                           30280.948095   \n",
       "29                           25708.106197   \n",
       "\n",
       "    1__fft_aggregated__aggtype_\"variance\"  \\\n",
       "0                            35705.584685   \n",
       "1                            65505.658250   \n",
       "2                             7237.994754   \n",
       "3                            20878.687023   \n",
       "4                             6075.172805   \n",
       "5                            19980.157861   \n",
       "6                             4343.530002   \n",
       "7                             1233.362463   \n",
       "8                             1090.899305   \n",
       "9                            92835.244609   \n",
       "10                           84882.184405   \n",
       "11                           28628.759654   \n",
       "12                           19230.699542   \n",
       "13                           18951.699136   \n",
       "14                           27995.768128   \n",
       "15                           79774.750460   \n",
       "16                          117311.194454   \n",
       "17                            8362.906526   \n",
       "18                           14190.586605   \n",
       "19                            3303.997687   \n",
       "20                           31328.649433   \n",
       "21                           51768.645058   \n",
       "22                           21259.549414   \n",
       "23                           23742.334531   \n",
       "24                           21353.103869   \n",
       "25                           15793.787788   \n",
       "26                            9748.813336   \n",
       "27                           10913.172960   \n",
       "28                            2570.109470   \n",
       "29                            5549.151249   \n",
       "\n",
       "    2__fft_aggregated__aggtype_\"variance\"  \\\n",
       "0                            13425.090723   \n",
       "1                            22182.918249   \n",
       "2                            81507.793271   \n",
       "3                            66238.733607   \n",
       "4                             8916.691314   \n",
       "5                            65556.691274   \n",
       "6                            39578.331617   \n",
       "7                            87318.504755   \n",
       "8                            55803.410155   \n",
       "9                            25999.995624   \n",
       "10                           14180.020446   \n",
       "11                           66438.084658   \n",
       "12                           20916.833480   \n",
       "13                           51189.874598   \n",
       "14                          108975.751362   \n",
       "15                           27889.880961   \n",
       "16                           80040.274767   \n",
       "17                           31543.059813   \n",
       "18                           73416.255369   \n",
       "19                           28116.351660   \n",
       "20                          113894.131124   \n",
       "21                          114009.241478   \n",
       "22                           14984.700338   \n",
       "23                           93062.996261   \n",
       "24                           94352.849945   \n",
       "25                           18641.929251   \n",
       "26                           64519.204818   \n",
       "27                           88301.798051   \n",
       "28                           48069.279840   \n",
       "29                           71465.837676   \n",
       "\n",
       "    3__fft_aggregated__aggtype_\"variance\"  0__variation_coefficient  \\\n",
       "0                            19204.269605                106.181651   \n",
       "1                            28213.452732                 10.073767   \n",
       "2                            84227.963781                 -5.570631   \n",
       "3                            66318.001130                -34.561218   \n",
       "4                             9042.624440                  9.534226   \n",
       "5                            66556.955412                -17.387686   \n",
       "6                            42834.252968                 49.472592   \n",
       "7                            87286.963799               -143.736995   \n",
       "8                            55320.120371                 46.120379   \n",
       "9                            28066.944225               -314.951936   \n",
       "10                           11006.891223                -19.035846   \n",
       "11                           68040.168663                  6.658937   \n",
       "12                           23836.811049                  9.049163   \n",
       "13                           53109.457238                 -4.888830   \n",
       "14                          108788.993254                 10.718386   \n",
       "15                           35517.325052                  7.394050   \n",
       "16                           77181.849234                 -3.550516   \n",
       "17                           25849.441028                 13.395316   \n",
       "18                           75900.946076                -14.561150   \n",
       "19                           28556.434564               -436.197473   \n",
       "20                          114440.855392                 51.256155   \n",
       "21                          113662.257630                -45.437871   \n",
       "22                           13004.534675               -121.909842   \n",
       "23                           93687.876483                 33.494378   \n",
       "24                           95371.089622                138.644525   \n",
       "25                           17365.787259                340.503723   \n",
       "26                           64938.522511                -45.206288   \n",
       "27                           86593.895831                107.472603   \n",
       "28                           44739.171341                158.963837   \n",
       "29                           73491.620633                -16.563344   \n",
       "\n",
       "    1__variation_coefficient  2__variation_coefficient  \\\n",
       "0                 182.748791                 75.356723   \n",
       "1                  14.475115                 37.849488   \n",
       "2                  -6.631324                 -7.145022   \n",
       "3                 293.191301                 12.318029   \n",
       "4                  17.043309                 49.876610   \n",
       "5                 -40.637654                -10.747828   \n",
       "6                 -36.028234                 29.992263   \n",
       "7                 175.111779                 10.679892   \n",
       "8                  22.923089                -11.944279   \n",
       "9                -342.275490                  8.233186   \n",
       "10                -18.954442                -16.723793   \n",
       "11                  8.527781                -11.499456   \n",
       "12                  7.792711                  9.557787   \n",
       "13                 -4.407826                -12.085639   \n",
       "14                 11.742435                 36.708212   \n",
       "15                  7.320585                 20.210697   \n",
       "16                 -3.122933                 -8.350454   \n",
       "17                  4.620738               -119.804082   \n",
       "18                -12.190981                  4.733978   \n",
       "19                -47.464428                 -5.885416   \n",
       "20                450.915197                 17.711090   \n",
       "21                191.048450                -51.931689   \n",
       "22                -27.206351                -13.963836   \n",
       "23                 12.569901                  9.621071   \n",
       "24                 50.349853                 13.472581   \n",
       "25                -16.317236                 -5.389716   \n",
       "26                 24.605476                  7.584503   \n",
       "27                -17.087729                -33.207365   \n",
       "28                 22.138985                593.719382   \n",
       "29                -20.390604                -33.165589   \n",
       "\n",
       "    3__variation_coefficient  \n",
       "0                  31.836092  \n",
       "1                  74.150433  \n",
       "2                  -7.172510  \n",
       "3                  12.697326  \n",
       "4                  43.699119  \n",
       "5                 -10.689283  \n",
       "6                  29.039480  \n",
       "7                  10.878656  \n",
       "8                 -12.000276  \n",
       "9                   8.168991  \n",
       "10                -16.524502  \n",
       "11                -11.594901  \n",
       "12                  9.320537  \n",
       "13                -11.638499  \n",
       "14                 35.719618  \n",
       "15                  9.185976  \n",
       "16                 -7.775450  \n",
       "17                -91.761664  \n",
       "18                  4.710030  \n",
       "19                 -5.843271  \n",
       "20                 17.464948  \n",
       "21                -53.761328  \n",
       "22                -13.785892  \n",
       "23                  9.869751  \n",
       "24                 13.207025  \n",
       "25                 -5.402455  \n",
       "26                  7.595434  \n",
       "27                -30.651355  \n",
       "28                144.353761  \n",
       "29                -29.887110  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Select the features that has high variance and are task related\n",
    "features[['0__fft_aggregated__aggtype_\"variance\"',\n",
    "          '1__fft_aggregated__aggtype_\"variance\"',\n",
    "          '2__fft_aggregated__aggtype_\"variance\"',\n",
    "          '3__fft_aggregated__aggtype_\"variance\"',\n",
    "          '0__variation_coefficient',\n",
    "          '1__variation_coefficient',\n",
    "          '2__variation_coefficient',\n",
    "          '3__variation_coefficient',]]\n"
   ]
  }
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