ARIMA/1_feature_extraction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 29,
   "source": [
    "import pandas as pd\r\n",
    "import numpy as np\r\n",
    "import warnings\r\n",
    "warnings.filterwarnings(\"ignore\")\r\n",
    "\r\n",
    "label = pd.read_pickle('label.pkl')\r\n",
    "label.index[0]\r\n",
    "label = label.loc['2021-01-01 00:00:00':]\r\n",
    "label = label.rename(columns={'value':'week'})\r\n"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "source": [
    "from tsfresh.feature_extraction import extract_features\r\n",
    "from tsfresh.feature_extraction import EfficientFCParameters\r\n",
    "\r\n",
    "def FeatureExtractor(data, window_size, fc_param=EfficientFCParameters()):\r\n",
    "    data['id'] = np.ones((window_size,1), dtype=np.int8)\r\n",
    "    data['time'] = np.arange(window_size)\r\n",
    "    result = extract_features(data, column_id=\"id\", column_sort=\"time\", default_fc_parameters=fc_param)\r\n",
    "    return result\r\n",
    "\r\n",
    "def GetFeatureMatrix(data, window_size):\r\n",
    "    feature_matrix = pd.DataFrame()\r\n",
    "    for index in range(len(data)):\r\n",
    "        if index < window_size:\r\n",
    "            roll_label = data[:index+1]\r\n",
    "        else:\r\n",
    "            roll_label = data[index-window_size:index+1]\r\n",
    "        feature_row = FeatureExtractor(roll_label, window_size=len(roll_label))\r\n",
    "        feature_matrix = pd.concat([feature_matrix, feature_row], ignore_index=True)\r\n",
    "    return feature_matrix\r\n",
    "\r\n",
    "window_size = 24*7\r\n",
    "feature_matrix = GetFeatureMatrix(label, window_size)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
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      "Feature Extraction: 100%|██████████| 1/1 [00:12<00:00, 12.10s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:11<00:00, 11.78s/it]\n",
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      "Feature Extraction: 100%|██████████| 1/1 [00:12<00:00, 12.29s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:11<00:00, 11.01s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:11<00:00, 11.95s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:11<00:00, 11.69s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:12<00:00, 12.51s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:12<00:00, 12.22s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:10<00:00, 10.58s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:11<00:00, 11.68s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:11<00:00, 11.71s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:11<00:00, 11.59s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:12<00:00, 12.18s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:10<00:00, 10.62s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:11<00:00, 11.57s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:11<00:00, 11.14s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:11<00:00, 11.08s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:11<00:00, 11.77s/it]\n",
      "Feature Extraction: 100%|██████████| 1/1 [00:10<00:00, 10.63s/it]\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "source": [
    "# feature_matrix.to_pickle('2021.pkl')"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "source": [
    "feature_matrix_processed = feature_matrix.shift(1)\r\n",
    "feature_matrix_processed['date'] = label.index\r\n",
    "feature_matrix_processed = feature_matrix_processed.set_index('date', drop=True)\r\n",
    "feature_matrix_processed = feature_matrix_processed[1:]"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                     value__variance_larger_than_standard_deviation  \\\n",
       "date                                                                  \n",
       "2021-01-01 01:00:00                                             0.0   \n",
       "2021-01-01 02:00:00                                             1.0   \n",
       "2021-01-01 03:00:00                                             1.0   \n",
       "2021-01-01 04:00:00                                             1.0   \n",
       "2021-01-01 05:00:00                                             1.0   \n",
       "...                                                             ...   \n",
       "2021-08-01 19:00:00                                             1.0   \n",
       "2021-08-01 20:00:00                                             1.0   \n",
       "2021-08-01 21:00:00                                             1.0   \n",
       "2021-08-01 22:00:00                                             1.0   \n",
       "2021-08-01 23:00:00                                             1.0   \n",
       "\n",
       "                     value__has_duplicate_max  value__has_duplicate_min  \\\n",
       "date                                                                      \n",
       "2021-01-01 01:00:00                       0.0                       0.0   \n",
       "2021-01-01 02:00:00                       0.0                       0.0   \n",
       "2021-01-01 03:00:00                       0.0                       0.0   \n",
       "2021-01-01 04:00:00                       0.0                       0.0   \n",
       "2021-01-01 05:00:00                       0.0                       0.0   \n",
       "...                                       ...                       ...   \n",
       "2021-08-01 19:00:00                       0.0                       0.0   \n",
       "2021-08-01 20:00:00                       0.0                       0.0   \n",
       "2021-08-01 21:00:00                       0.0                       0.0   \n",
       "2021-08-01 22:00:00                       0.0                       0.0   \n",
       "2021-08-01 23:00:00                       0.0                       0.0   \n",
       "\n",
       "                     value__has_duplicate  value__sum_values  \\\n",
       "date                                                           \n",
       "2021-01-01 01:00:00                   0.0              50.87   \n",
       "2021-01-01 02:00:00                   0.0              99.06   \n",
       "2021-01-01 03:00:00                   0.0             143.74   \n",
       "2021-01-01 04:00:00                   0.0             186.66   \n",
       "2021-01-01 05:00:00                   0.0             227.05   \n",
       "...                                   ...                ...   \n",
       "2021-08-01 19:00:00                   1.0            1420.55   \n",
       "2021-08-01 20:00:00                   1.0            1445.89   \n",
       "2021-08-01 21:00:00                   1.0            1460.32   \n",
       "2021-08-01 22:00:00                   1.0            1466.51   \n",
       "2021-08-01 23:00:00                   1.0            1468.53   \n",
       "\n",
       "                     value__abs_energy  value__mean_abs_change  \\\n",
       "date                                                             \n",
       "2021-01-01 01:00:00          2587.7569                     NaN   \n",
       "2021-01-01 02:00:00          4910.0330                2.680000   \n",
       "2021-01-01 03:00:00          6906.3354                3.095000   \n",
       "2021-01-01 04:00:00          8748.4618                2.650000   \n",
       "2021-01-01 05:00:00         10379.8139                2.620000   \n",
       "...                                ...                     ...   \n",
       "2021-08-01 19:00:00         81903.3947                3.634583   \n",
       "2021-08-01 20:00:00         85110.9319                3.330417   \n",
       "2021-08-01 21:00:00         87211.5070                3.313333   \n",
       "2021-08-01 22:00:00         88116.6707                3.434167   \n",
       "2021-08-01 23:00:00         88407.2275                3.360833   \n",
       "\n",
       "                     value__mean_change  \\\n",
       "date                                      \n",
       "2021-01-01 01:00:00                 NaN   \n",
       "2021-01-01 02:00:00           -2.680000   \n",
       "2021-01-01 03:00:00           -3.095000   \n",
       "2021-01-01 04:00:00           -2.650000   \n",
       "2021-01-01 05:00:00           -2.620000   \n",
       "...                                 ...   \n",
       "2021-08-01 19:00:00            0.737083   \n",
       "2021-08-01 20:00:00            0.432917   \n",
       "2021-08-01 21:00:00            0.415833   \n",
       "2021-08-01 22:00:00            0.220833   \n",
       "2021-08-01 23:00:00            0.294167   \n",
       "\n",
       "                     value__mean_second_derivative_central  value__median  \\\n",
       "date                                                                        \n",
       "2021-01-01 01:00:00                                    NaN         50.870   \n",
       "2021-01-01 02:00:00                                    NaN         49.530   \n",
       "2021-01-01 03:00:00                              -0.415000         48.190   \n",
       "2021-01-01 04:00:00                               0.230000         46.435   \n",
       "2021-01-01 05:00:00                               0.025000         44.680   \n",
       "...                                                    ...            ...   \n",
       "2021-08-01 19:00:00                              -0.150652         56.550   \n",
       "2021-08-01 20:00:00                               0.069565         57.560   \n",
       "2021-08-01 21:00:00                               0.068478         57.560   \n",
       "2021-08-01 22:00:00                               0.027174         57.560   \n",
       "2021-08-01 23:00:00                               0.058913         57.560   \n",
       "\n",
       "                     ...  value__permutation_entropy__dimension_5__tau_1  \\\n",
       "date                 ...                                                   \n",
       "2021-01-01 01:00:00  ...                                             NaN   \n",
       "2021-01-01 02:00:00  ...                                             NaN   \n",
       "2021-01-01 03:00:00  ...                                             NaN   \n",
       "2021-01-01 04:00:00  ...                                             NaN   \n",
       "2021-01-01 05:00:00  ...                                       -0.000000   \n",
       "...                  ...                                             ...   \n",
       "2021-08-01 19:00:00  ...                                        2.648438   \n",
       "2021-08-01 20:00:00  ...                                        2.529295   \n",
       "2021-08-01 21:00:00  ...                                        2.400563   \n",
       "2021-08-01 22:00:00  ...                                        2.400563   \n",
       "2021-08-01 23:00:00  ...                                        2.400563   \n",
       "\n",
       "                     value__permutation_entropy__dimension_6__tau_1  \\\n",
       "date                                                                  \n",
       "2021-01-01 01:00:00                                             NaN   \n",
       "2021-01-01 02:00:00                                             NaN   \n",
       "2021-01-01 03:00:00                                             NaN   \n",
       "2021-01-01 04:00:00                                             NaN   \n",
       "2021-01-01 05:00:00                                             NaN   \n",
       "...                                                             ...   \n",
       "2021-08-01 19:00:00                                        2.926418   \n",
       "2021-08-01 20:00:00                                        2.857103   \n",
       "2021-08-01 21:00:00                                        2.761626   \n",
       "2021-08-01 22:00:00                                        2.692311   \n",
       "2021-08-01 23:00:00                                        2.692311   \n",
       "\n",
       "                     value__permutation_entropy__dimension_7__tau_1  \\\n",
       "date                                                                  \n",
       "2021-01-01 01:00:00                                             NaN   \n",
       "2021-01-01 02:00:00                                             NaN   \n",
       "2021-01-01 03:00:00                                             NaN   \n",
       "2021-01-01 04:00:00                                             NaN   \n",
       "2021-01-01 05:00:00                                             NaN   \n",
       "...                                                             ...   \n",
       "2021-08-01 19:00:00                                        2.944439   \n",
       "2021-08-01 20:00:00                                        2.944439   \n",
       "2021-08-01 21:00:00                                        2.871476   \n",
       "2021-08-01 22:00:00                                        2.871476   \n",
       "2021-08-01 23:00:00                                        2.871476   \n",
       "\n",
       "                     value__query_similarity_count__query_None__threshold_0.0  \\\n",
       "date                                                                            \n",
       "2021-01-01 01:00:00                                                NaN          \n",
       "2021-01-01 02:00:00                                                NaN          \n",
       "2021-01-01 03:00:00                                                NaN          \n",
       "2021-01-01 04:00:00                                                NaN          \n",
       "2021-01-01 05:00:00                                                NaN          \n",
       "...                                                                ...          \n",
       "2021-08-01 19:00:00                                                NaN          \n",
       "2021-08-01 20:00:00                                                NaN          \n",
       "2021-08-01 21:00:00                                                NaN          \n",
       "2021-08-01 22:00:00                                                NaN          \n",
       "2021-08-01 23:00:00                                                NaN          \n",
       "\n",
       "                     value__matrix_profile__feature_\"min\"__threshold_0.98  \\\n",
       "date                                                                        \n",
       "2021-01-01 01:00:00                                                NaN      \n",
       "2021-01-01 02:00:00                                                NaN      \n",
       "2021-01-01 03:00:00                                                NaN      \n",
       "2021-01-01 04:00:00                                                NaN      \n",
       "2021-01-01 05:00:00                                                NaN      \n",
       "...                                                                ...      \n",
       "2021-08-01 19:00:00                                                NaN      \n",
       "2021-08-01 20:00:00                                                NaN      \n",
       "2021-08-01 21:00:00                                                NaN      \n",
       "2021-08-01 22:00:00                                                NaN      \n",
       "2021-08-01 23:00:00                                                NaN      \n",
       "\n",
       "                     value__matrix_profile__feature_\"max\"__threshold_0.98  \\\n",
       "date                                                                        \n",
       "2021-01-01 01:00:00                                                NaN      \n",
       "2021-01-01 02:00:00                                                NaN      \n",
       "2021-01-01 03:00:00                                                NaN      \n",
       "2021-01-01 04:00:00                                                NaN      \n",
       "2021-01-01 05:00:00                                                NaN      \n",
       "...                                                                ...      \n",
       "2021-08-01 19:00:00                                                NaN      \n",
       "2021-08-01 20:00:00                                                NaN      \n",
       "2021-08-01 21:00:00                                                NaN      \n",
       "2021-08-01 22:00:00                                                NaN      \n",
       "2021-08-01 23:00:00                                                NaN      \n",
       "\n",
       "                     value__matrix_profile__feature_\"mean\"__threshold_0.98  \\\n",
       "date                                                                         \n",
       "2021-01-01 01:00:00                                                NaN       \n",
       "2021-01-01 02:00:00                                                NaN       \n",
       "2021-01-01 03:00:00                                                NaN       \n",
       "2021-01-01 04:00:00                                                NaN       \n",
       "2021-01-01 05:00:00                                                NaN       \n",
       "...                                                                ...       \n",
       "2021-08-01 19:00:00                                                NaN       \n",
       "2021-08-01 20:00:00                                                NaN       \n",
       "2021-08-01 21:00:00                                                NaN       \n",
       "2021-08-01 22:00:00                                                NaN       \n",
       "2021-08-01 23:00:00                                                NaN       \n",
       "\n",
       "                     value__matrix_profile__feature_\"median\"__threshold_0.98  \\\n",
       "date                                                                           \n",
       "2021-01-01 01:00:00                                                NaN         \n",
       "2021-01-01 02:00:00                                                NaN         \n",
       "2021-01-01 03:00:00                                                NaN         \n",
       "2021-01-01 04:00:00                                                NaN         \n",
       "2021-01-01 05:00:00                                                NaN         \n",
       "...                                                                ...         \n",
       "2021-08-01 19:00:00                                                NaN         \n",
       "2021-08-01 20:00:00                                                NaN         \n",
       "2021-08-01 21:00:00                                                NaN         \n",
       "2021-08-01 22:00:00                                                NaN         \n",
       "2021-08-01 23:00:00                                                NaN         \n",
       "\n",
       "                     value__matrix_profile__feature_\"25\"__threshold_0.98  \\\n",
       "date                                                                       \n",
       "2021-01-01 01:00:00                                                NaN     \n",
       "2021-01-01 02:00:00                                                NaN     \n",
       "2021-01-01 03:00:00                                                NaN     \n",
       "2021-01-01 04:00:00                                                NaN     \n",
       "2021-01-01 05:00:00                                                NaN     \n",
       "...                                                                ...     \n",
       "2021-08-01 19:00:00                                                NaN     \n",
       "2021-08-01 20:00:00                                                NaN     \n",
       "2021-08-01 21:00:00                                                NaN     \n",
       "2021-08-01 22:00:00                                                NaN     \n",
       "2021-08-01 23:00:00                                                NaN     \n",
       "\n",
       "                     value__matrix_profile__feature_\"75\"__threshold_0.98  \n",
       "date                                                                      \n",
       "2021-01-01 01:00:00                                                NaN    \n",
       "2021-01-01 02:00:00                                                NaN    \n",
       "2021-01-01 03:00:00                                                NaN    \n",
       "2021-01-01 04:00:00                                                NaN    \n",
       "2021-01-01 05:00:00                                                NaN    \n",
       "...                                                                ...    \n",
       "2021-08-01 19:00:00                                                NaN    \n",
       "2021-08-01 20:00:00                                                NaN    \n",
       "2021-08-01 21:00:00                                                NaN    \n",
       "2021-08-01 22:00:00                                                NaN    \n",
       "2021-08-01 23:00:00                                                NaN    \n",
       "\n",
       "[5111 rows x 786 columns]"
      ],
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>value__variance_larger_than_standard_deviation</th>\n",
       "      <th>value__has_duplicate_max</th>\n",
       "      <th>value__has_duplicate_min</th>\n",
       "      <th>value__has_duplicate</th>\n",
       "      <th>value__sum_values</th>\n",
       "      <th>value__abs_energy</th>\n",
       "      <th>value__mean_abs_change</th>\n",
       "      <th>value__mean_change</th>\n",
       "      <th>value__mean_second_derivative_central</th>\n",
       "      <th>value__median</th>\n",
       "      <th>...</th>\n",
       "      <th>value__permutation_entropy__dimension_5__tau_1</th>\n",
       "      <th>value__permutation_entropy__dimension_6__tau_1</th>\n",
       "      <th>value__permutation_entropy__dimension_7__tau_1</th>\n",
       "      <th>value__query_similarity_count__query_None__threshold_0.0</th>\n",
       "      <th>value__matrix_profile__feature_\"min\"__threshold_0.98</th>\n",
       "      <th>value__matrix_profile__feature_\"max\"__threshold_0.98</th>\n",
       "      <th>value__matrix_profile__feature_\"mean\"__threshold_0.98</th>\n",
       "      <th>value__matrix_profile__feature_\"median\"__threshold_0.98</th>\n",
       "      <th>value__matrix_profile__feature_\"25\"__threshold_0.98</th>\n",
       "      <th>value__matrix_profile__feature_\"75\"__threshold_0.98</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-01-01 01:00:00</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.87</td>\n",
       "      <td>2587.7569</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.870</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>2021-01-01 02:00:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>99.06</td>\n",
       "      <td>4910.0330</td>\n",
       "      <td>2.680000</td>\n",
       "      <td>-2.680000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.530</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>2021-01-01 03:00:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>143.74</td>\n",
       "      <td>6906.3354</td>\n",
       "      <td>3.095000</td>\n",
       "      <td>-3.095000</td>\n",
       "      <td>-0.415000</td>\n",
       "      <td>48.190</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>2021-01-01 04:00:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>186.66</td>\n",
       "      <td>8748.4618</td>\n",
       "      <td>2.650000</td>\n",
       "      <td>-2.650000</td>\n",
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       "      <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>2021-01-01 05:00:00</th>\n",
       "      <td>1.0</td>\n",
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       "      <td>227.05</td>\n",
       "      <td>10379.8139</td>\n",
       "      <td>2.620000</td>\n",
       "      <td>-2.620000</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>44.680</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <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>2021-08-01 19:00:00</th>\n",
       "      <td>1.0</td>\n",
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       "      <td>1.0</td>\n",
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       "      <td>81903.3947</td>\n",
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       "      <td>0.737083</td>\n",
       "      <td>-0.150652</td>\n",
       "      <td>56.550</td>\n",
       "      <td>...</td>\n",
       "      <td>2.648438</td>\n",
       "      <td>2.926418</td>\n",
       "      <td>2.944439</td>\n",
       "      <td>NaN</td>\n",
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       "      <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>2021-08-01 20:00:00</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>85110.9319</td>\n",
       "      <td>3.330417</td>\n",
       "      <td>0.432917</td>\n",
       "      <td>0.069565</td>\n",
       "      <td>57.560</td>\n",
       "      <td>...</td>\n",
       "      <td>2.529295</td>\n",
       "      <td>2.857103</td>\n",
       "      <td>2.944439</td>\n",
       "      <td>NaN</td>\n",
       "      <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>2021-08-01 21:00:00</th>\n",
       "      <td>1.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1460.32</td>\n",
       "      <td>87211.5070</td>\n",
       "      <td>3.313333</td>\n",
       "      <td>0.415833</td>\n",
       "      <td>0.068478</td>\n",
       "      <td>57.560</td>\n",
       "      <td>...</td>\n",
       "      <td>2.400563</td>\n",
       "      <td>2.761626</td>\n",
       "      <td>2.871476</td>\n",
       "      <td>NaN</td>\n",
       "      <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>2021-08-01 22:00:00</th>\n",
       "      <td>1.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1466.51</td>\n",
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       "      <td>57.560</td>\n",
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       "      <td>2.871476</td>\n",
       "      <td>NaN</td>\n",
       "      <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>2021-08-01 23:00:00</th>\n",
       "      <td>1.0</td>\n",
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       "      <td>1.0</td>\n",
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       "      <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>5111 rows × 786 columns</p>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 17
    }
   ],
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  {
   "cell_type": "code",
   "execution_count": 25,
   "source": [
    "feature_matrix_processed.to_pickle('2021_features_week.pkl')"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "source": [],
   "outputs": [],
   "metadata": {}
  }
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