complete_set.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('ML_Project_SNR_Minus5.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0.000000000000000000e+00</th>\n",
       "      <th>0.000000000000000000e+00.1</th>\n",
       "      <th>0.000000000000000000e+00.2</th>\n",
       "      <th>0.000000000000000000e+00.3</th>\n",
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       "      <th>0.000000000000000000e+00.9</th>\n",
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       "      <th>0.000000000000000000e+00.11</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.302275</td>\n",
       "      <td>-148.383246</td>\n",
       "      <td>8.859367</td>\n",
       "      <td>0.647134</td>\n",
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       "      <td>5.817704</td>\n",
       "      <td>0.015940</td>\n",
       "      <td>-0.031028</td>\n",
       "      <td>0.089002</td>\n",
       "      <td>0.076348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.233753</td>\n",
       "      <td>18.771329</td>\n",
       "      <td>-1.479467</td>\n",
       "      <td>0.622038</td>\n",
       "      <td>0.611679</td>\n",
       "      <td>5.833700</td>\n",
       "      <td>5.525670</td>\n",
       "      <td>-0.020869</td>\n",
       "      <td>0.042011</td>\n",
       "      <td>-0.026865</td>\n",
       "      <td>0.110252</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.303249</td>\n",
       "      <td>-72.414643</td>\n",
       "      <td>18.445490</td>\n",
       "      <td>0.660148</td>\n",
       "      <td>0.642540</td>\n",
       "      <td>6.710240</td>\n",
       "      <td>5.685070</td>\n",
       "      <td>0.040367</td>\n",
       "      <td>-0.027656</td>\n",
       "      <td>-0.012665</td>\n",
       "      <td>-0.018707</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.284394</td>\n",
       "      <td>0.828373</td>\n",
       "      <td>5.848109</td>\n",
       "      <td>0.654443</td>\n",
       "      <td>0.629948</td>\n",
       "      <td>5.599138</td>\n",
       "      <td>5.925905</td>\n",
       "      <td>-0.021557</td>\n",
       "      <td>-0.001351</td>\n",
       "      <td>-0.180079</td>\n",
       "      <td>0.106060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.316451</td>\n",
       "      <td>-31.339765</td>\n",
       "      <td>-20.200707</td>\n",
       "      <td>0.636542</td>\n",
       "      <td>0.679769</td>\n",
       "      <td>5.471411</td>\n",
       "      <td>5.823790</td>\n",
       "      <td>-0.063377</td>\n",
       "      <td>-0.001626</td>\n",
       "      <td>0.021798</td>\n",
       "      <td>-0.029898</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>311995</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.988428</td>\n",
       "      <td>-19.851018</td>\n",
       "      <td>103.916798</td>\n",
       "      <td>0.502895</td>\n",
       "      <td>0.484407</td>\n",
       "      <td>5.359710</td>\n",
       "      <td>4.660864</td>\n",
       "      <td>-0.025464</td>\n",
       "      <td>0.053899</td>\n",
       "      <td>0.028322</td>\n",
       "      <td>-0.173582</td>\n",
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       "    <tr>\n",
       "      <th>311996</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.991334</td>\n",
       "      <td>67.828097</td>\n",
       "      <td>-38.411368</td>\n",
       "      <td>0.496261</td>\n",
       "      <td>0.494461</td>\n",
       "      <td>5.647372</td>\n",
       "      <td>5.270277</td>\n",
       "      <td>0.021848</td>\n",
       "      <td>-0.036627</td>\n",
       "      <td>-0.075516</td>\n",
       "      <td>0.160396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311997</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.970140</td>\n",
       "      <td>44.460369</td>\n",
       "      <td>-23.387465</td>\n",
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       "      <td>5.033640</td>\n",
       "      <td>-0.009092</td>\n",
       "      <td>-0.028957</td>\n",
       "      <td>-0.071585</td>\n",
       "      <td>0.149498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311998</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.032394</td>\n",
       "      <td>21.267066</td>\n",
       "      <td>-65.676425</td>\n",
       "      <td>0.502799</td>\n",
       "      <td>0.529116</td>\n",
       "      <td>4.611650</td>\n",
       "      <td>4.968229</td>\n",
       "      <td>-0.074763</td>\n",
       "      <td>0.020363</td>\n",
       "      <td>-0.084400</td>\n",
       "      <td>-0.018605</td>\n",
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       "    <tr>\n",
       "      <th>311999</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.004090</td>\n",
       "      <td>53.653991</td>\n",
       "      <td>6.690110</td>\n",
       "      <td>0.498774</td>\n",
       "      <td>0.505022</td>\n",
       "      <td>4.937004</td>\n",
       "      <td>5.164590</td>\n",
       "      <td>0.009907</td>\n",
       "      <td>0.020230</td>\n",
       "      <td>-0.034756</td>\n",
       "      <td>0.055512</td>\n",
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       "<p>312000 rows × 12 columns</p>\n",
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       "        0.000000000000000000e+00  0.000000000000000000e+00.1  \\\n",
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       "1                            1.0                    1.233753   \n",
       "2                            1.0                    1.303249   \n",
       "3                            1.0                    1.284394   \n",
       "4                            1.0                    1.316451   \n",
       "...                          ...                         ...   \n",
       "311995                       0.0                    0.988428   \n",
       "311996                       0.0                    0.991334   \n",
       "311997                       0.0                    0.970140   \n",
       "311998                       0.0                    1.032394   \n",
       "311999                       0.0                    1.004090   \n",
       "\n",
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       "4                         0.636542                    0.679769   \n",
       "...                            ...                         ...   \n",
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       "311996                    0.496261                    0.494461   \n",
       "311997                    0.484325                    0.485561   \n",
       "311998                    0.502799                    0.529116   \n",
       "311999                    0.498774                    0.505022   \n",
       "\n",
       "        0.000000000000000000e+00.6  0.000000000000000000e+00.7  \\\n",
       "0                         6.086627                    5.817704   \n",
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       "3                         5.599138                    5.925905   \n",
       "4                         5.471411                    5.823790   \n",
       "...                            ...                         ...   \n",
       "311995                    5.359710                    4.660864   \n",
       "311996                    5.647372                    5.270277   \n",
       "311997                    4.563300                    5.033640   \n",
       "311998                    4.611650                    4.968229   \n",
       "311999                    4.937004                    5.164590   \n",
       "\n",
       "        0.000000000000000000e+00.8  0.000000000000000000e+00.9  \\\n",
       "0                         0.015940                   -0.031028   \n",
       "1                        -0.020869                    0.042011   \n",
       "2                         0.040367                   -0.027656   \n",
       "3                        -0.021557                   -0.001351   \n",
       "4                        -0.063377                   -0.001626   \n",
       "...                            ...                         ...   \n",
       "311995                   -0.025464                    0.053899   \n",
       "311996                    0.021848                   -0.036627   \n",
       "311997                   -0.009092                   -0.028957   \n",
       "311998                   -0.074763                    0.020363   \n",
       "311999                    0.009907                    0.020230   \n",
       "\n",
       "        0.000000000000000000e+00.10  0.000000000000000000e+00.11  \n",
       "0                          0.089002                     0.076348  \n",
       "1                         -0.026865                     0.110252  \n",
       "2                         -0.012665                    -0.018707  \n",
       "3                         -0.180079                     0.106060  \n",
       "4                          0.021798                    -0.029898  \n",
       "...                             ...                          ...  \n",
       "311995                     0.028322                    -0.173582  \n",
       "311996                    -0.075516                     0.160396  \n",
       "311997                    -0.071585                     0.149498  \n",
       "311998                    -0.084400                    -0.018605  \n",
       "311999                    -0.034756                     0.055512  \n",
       "\n",
       "[312000 rows x 12 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.columns = ['dev_id', 'power', 'sum_real', 'sum_imaginary', 'var_real', 'var_imaginary', 'range_real', 'range_imag', 'real_skew', 'imag_skew', 'real_kurt', 'imag_kurt']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "      <th>dev_id</th>\n",
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       "      <th>0</th>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.233753</td>\n",
       "      <td>18.771329</td>\n",
       "      <td>-1.479467</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>-72.414643</td>\n",
       "      <td>18.445490</td>\n",
       "      <td>0.660148</td>\n",
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       "      <td>6.710240</td>\n",
       "      <td>5.685070</td>\n",
       "      <td>0.040367</td>\n",
       "      <td>-0.027656</td>\n",
       "      <td>-0.012665</td>\n",
       "      <td>-0.018707</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.284394</td>\n",
       "      <td>0.828373</td>\n",
       "      <td>5.848109</td>\n",
       "      <td>0.654443</td>\n",
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       "      <td>5.599138</td>\n",
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       "      <td>-0.021557</td>\n",
       "      <td>-0.001351</td>\n",
       "      <td>-0.180079</td>\n",
       "      <td>0.106060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.316451</td>\n",
       "      <td>-31.339765</td>\n",
       "      <td>-20.200707</td>\n",
       "      <td>0.636542</td>\n",
       "      <td>0.679769</td>\n",
       "      <td>5.471411</td>\n",
       "      <td>5.823790</td>\n",
       "      <td>-0.063377</td>\n",
       "      <td>-0.001626</td>\n",
       "      <td>0.021798</td>\n",
       "      <td>-0.029898</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <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>311995</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.988428</td>\n",
       "      <td>-19.851018</td>\n",
       "      <td>103.916798</td>\n",
       "      <td>0.502895</td>\n",
       "      <td>0.484407</td>\n",
       "      <td>5.359710</td>\n",
       "      <td>4.660864</td>\n",
       "      <td>-0.025464</td>\n",
       "      <td>0.053899</td>\n",
       "      <td>0.028322</td>\n",
       "      <td>-0.173582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311996</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.991334</td>\n",
       "      <td>67.828097</td>\n",
       "      <td>-38.411368</td>\n",
       "      <td>0.496261</td>\n",
       "      <td>0.494461</td>\n",
       "      <td>5.647372</td>\n",
       "      <td>5.270277</td>\n",
       "      <td>0.021848</td>\n",
       "      <td>-0.036627</td>\n",
       "      <td>-0.075516</td>\n",
       "      <td>0.160396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311997</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.970140</td>\n",
       "      <td>44.460369</td>\n",
       "      <td>-23.387465</td>\n",
       "      <td>0.484325</td>\n",
       "      <td>0.485561</td>\n",
       "      <td>4.563300</td>\n",
       "      <td>5.033640</td>\n",
       "      <td>-0.009092</td>\n",
       "      <td>-0.028957</td>\n",
       "      <td>-0.071585</td>\n",
       "      <td>0.149498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311998</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.032394</td>\n",
       "      <td>21.267066</td>\n",
       "      <td>-65.676425</td>\n",
       "      <td>0.502799</td>\n",
       "      <td>0.529116</td>\n",
       "      <td>4.611650</td>\n",
       "      <td>4.968229</td>\n",
       "      <td>-0.074763</td>\n",
       "      <td>0.020363</td>\n",
       "      <td>-0.084400</td>\n",
       "      <td>-0.018605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311999</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.004090</td>\n",
       "      <td>53.653991</td>\n",
       "      <td>6.690110</td>\n",
       "      <td>0.498774</td>\n",
       "      <td>0.505022</td>\n",
       "      <td>4.937004</td>\n",
       "      <td>5.164590</td>\n",
       "      <td>0.009907</td>\n",
       "      <td>0.020230</td>\n",
       "      <td>-0.034756</td>\n",
       "      <td>0.055512</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>312000 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        dev_id     power    sum_real  sum_imaginary  var_real  var_imaginary  \\\n",
       "0          1.0  1.302275 -148.383246       8.859367  0.647134       0.652920   \n",
       "1          1.0  1.233753   18.771329      -1.479467  0.622038       0.611679   \n",
       "2          1.0  1.303249  -72.414643      18.445490  0.660148       0.642540   \n",
       "3          1.0  1.284394    0.828373       5.848109  0.654443       0.629948   \n",
       "4          1.0  1.316451  -31.339765     -20.200707  0.636542       0.679769   \n",
       "...        ...       ...         ...            ...       ...            ...   \n",
       "311995     0.0  0.988428  -19.851018     103.916798  0.502895       0.484407   \n",
       "311996     0.0  0.991334   67.828097     -38.411368  0.496261       0.494461   \n",
       "311997     0.0  0.970140   44.460369     -23.387465  0.484325       0.485561   \n",
       "311998     0.0  1.032394   21.267066     -65.676425  0.502799       0.529116   \n",
       "311999     0.0  1.004090   53.653991       6.690110  0.498774       0.505022   \n",
       "\n",
       "        range_real  range_imag  real_skew  imag_skew  real_kurt  imag_kurt  \n",
       "0         6.086627    5.817704   0.015940  -0.031028   0.089002   0.076348  \n",
       "1         5.833700    5.525670  -0.020869   0.042011  -0.026865   0.110252  \n",
       "2         6.710240    5.685070   0.040367  -0.027656  -0.012665  -0.018707  \n",
       "3         5.599138    5.925905  -0.021557  -0.001351  -0.180079   0.106060  \n",
       "4         5.471411    5.823790  -0.063377  -0.001626   0.021798  -0.029898  \n",
       "...            ...         ...        ...        ...        ...        ...  \n",
       "311995    5.359710    4.660864  -0.025464   0.053899   0.028322  -0.173582  \n",
       "311996    5.647372    5.270277   0.021848  -0.036627  -0.075516   0.160396  \n",
       "311997    4.563300    5.033640  -0.009092  -0.028957  -0.071585   0.149498  \n",
       "311998    4.611650    4.968229  -0.074763   0.020363  -0.084400  -0.018605  \n",
       "311999    4.937004    5.164590   0.009907   0.020230  -0.034756   0.055512  \n",
       "\n",
       "[312000 rows x 12 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "seriesObj = df.apply(lambda x: True if x['dev_id'] > 0 else False , axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "numOfRows = len(seriesObj[seriesObj == True].index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Rows in dataframe in which signal is transmitted :  17412\n"
     ]
    }
   ],
   "source": [
    "print('Number of Rows in dataframe in which signal is transmitted : ', numOfRows)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "signal_exist = df[\"dev_id\"] > 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_signal_exist = df.loc[signal_exist]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17412, 12)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_exist.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "signal_no_exist = (df[\"dev_id\"] == 0.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_signal_no_exist = df.loc[signal_no_exist]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(294588, 12)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_no_exist.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dev_id</th>\n",
       "      <th>power</th>\n",
       "      <th>sum_real</th>\n",
       "      <th>sum_imaginary</th>\n",
       "      <th>var_real</th>\n",
       "      <th>var_imaginary</th>\n",
       "      <th>range_real</th>\n",
       "      <th>range_imag</th>\n",
       "      <th>real_skew</th>\n",
       "      <th>imag_skew</th>\n",
       "      <th>real_kurt</th>\n",
       "      <th>imag_kurt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.302275</td>\n",
       "      <td>-148.383246</td>\n",
       "      <td>8.859367</td>\n",
       "      <td>0.647134</td>\n",
       "      <td>0.652920</td>\n",
       "      <td>6.086627</td>\n",
       "      <td>5.817704</td>\n",
       "      <td>0.015940</td>\n",
       "      <td>-0.031028</td>\n",
       "      <td>0.089002</td>\n",
       "      <td>0.076348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.233753</td>\n",
       "      <td>18.771329</td>\n",
       "      <td>-1.479467</td>\n",
       "      <td>0.622038</td>\n",
       "      <td>0.611679</td>\n",
       "      <td>5.833700</td>\n",
       "      <td>5.525670</td>\n",
       "      <td>-0.020869</td>\n",
       "      <td>0.042011</td>\n",
       "      <td>-0.026865</td>\n",
       "      <td>0.110252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.303249</td>\n",
       "      <td>-72.414643</td>\n",
       "      <td>18.445490</td>\n",
       "      <td>0.660148</td>\n",
       "      <td>0.642540</td>\n",
       "      <td>6.710240</td>\n",
       "      <td>5.685070</td>\n",
       "      <td>0.040367</td>\n",
       "      <td>-0.027656</td>\n",
       "      <td>-0.012665</td>\n",
       "      <td>-0.018707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.284394</td>\n",
       "      <td>0.828373</td>\n",
       "      <td>5.848109</td>\n",
       "      <td>0.654443</td>\n",
       "      <td>0.629948</td>\n",
       "      <td>5.599138</td>\n",
       "      <td>5.925905</td>\n",
       "      <td>-0.021557</td>\n",
       "      <td>-0.001351</td>\n",
       "      <td>-0.180079</td>\n",
       "      <td>0.106060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.316451</td>\n",
       "      <td>-31.339765</td>\n",
       "      <td>-20.200707</td>\n",
       "      <td>0.636542</td>\n",
       "      <td>0.679769</td>\n",
       "      <td>5.471411</td>\n",
       "      <td>5.823790</td>\n",
       "      <td>-0.063377</td>\n",
       "      <td>-0.001626</td>\n",
       "      <td>0.021798</td>\n",
       "      <td>-0.029898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286916</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.309812</td>\n",
       "      <td>-13.550001</td>\n",
       "      <td>31.472982</td>\n",
       "      <td>0.655313</td>\n",
       "      <td>0.654381</td>\n",
       "      <td>5.661471</td>\n",
       "      <td>5.518403</td>\n",
       "      <td>0.046454</td>\n",
       "      <td>0.006294</td>\n",
       "      <td>-0.162350</td>\n",
       "      <td>0.017472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286917</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.270622</td>\n",
       "      <td>1.608629</td>\n",
       "      <td>76.102292</td>\n",
       "      <td>0.624440</td>\n",
       "      <td>0.645599</td>\n",
       "      <td>6.038635</td>\n",
       "      <td>5.399404</td>\n",
       "      <td>-0.048392</td>\n",
       "      <td>0.109939</td>\n",
       "      <td>0.103526</td>\n",
       "      <td>0.010767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286918</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.281205</td>\n",
       "      <td>-5.394464</td>\n",
       "      <td>-45.940252</td>\n",
       "      <td>0.627004</td>\n",
       "      <td>0.653986</td>\n",
       "      <td>6.072099</td>\n",
       "      <td>5.489463</td>\n",
       "      <td>-0.053134</td>\n",
       "      <td>-0.019454</td>\n",
       "      <td>0.100146</td>\n",
       "      <td>0.049105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286919</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.301225</td>\n",
       "      <td>-19.605232</td>\n",
       "      <td>-64.854769</td>\n",
       "      <td>0.671152</td>\n",
       "      <td>0.629611</td>\n",
       "      <td>6.356222</td>\n",
       "      <td>5.935291</td>\n",
       "      <td>-0.021325</td>\n",
       "      <td>0.081853</td>\n",
       "      <td>0.229648</td>\n",
       "      <td>-0.015225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286920</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.328601</td>\n",
       "      <td>-36.749274</td>\n",
       "      <td>35.265683</td>\n",
       "      <td>0.664851</td>\n",
       "      <td>0.663489</td>\n",
       "      <td>5.446889</td>\n",
       "      <td>6.183301</td>\n",
       "      <td>0.046881</td>\n",
       "      <td>-0.019542</td>\n",
       "      <td>-0.072863</td>\n",
       "      <td>0.039244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17412 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        dev_id     power    sum_real  sum_imaginary  var_real  var_imaginary  \\\n",
       "0          1.0  1.302275 -148.383246       8.859367  0.647134       0.652920   \n",
       "1          1.0  1.233753   18.771329      -1.479467  0.622038       0.611679   \n",
       "2          1.0  1.303249  -72.414643      18.445490  0.660148       0.642540   \n",
       "3          1.0  1.284394    0.828373       5.848109  0.654443       0.629948   \n",
       "4          1.0  1.316451  -31.339765     -20.200707  0.636542       0.679769   \n",
       "...        ...       ...         ...            ...       ...            ...   \n",
       "286916     1.0  1.309812  -13.550001      31.472982  0.655313       0.654381   \n",
       "286917     1.0  1.270622    1.608629      76.102292  0.624440       0.645599   \n",
       "286918     1.0  1.281205   -5.394464     -45.940252  0.627004       0.653986   \n",
       "286919     1.0  1.301225  -19.605232     -64.854769  0.671152       0.629611   \n",
       "286920     1.0  1.328601  -36.749274      35.265683  0.664851       0.663489   \n",
       "\n",
       "        range_real  range_imag  real_skew  imag_skew  real_kurt  imag_kurt  \n",
       "0         6.086627    5.817704   0.015940  -0.031028   0.089002   0.076348  \n",
       "1         5.833700    5.525670  -0.020869   0.042011  -0.026865   0.110252  \n",
       "2         6.710240    5.685070   0.040367  -0.027656  -0.012665  -0.018707  \n",
       "3         5.599138    5.925905  -0.021557  -0.001351  -0.180079   0.106060  \n",
       "4         5.471411    5.823790  -0.063377  -0.001626   0.021798  -0.029898  \n",
       "...            ...         ...        ...        ...        ...        ...  \n",
       "286916    5.661471    5.518403   0.046454   0.006294  -0.162350   0.017472  \n",
       "286917    6.038635    5.399404  -0.048392   0.109939   0.103526   0.010767  \n",
       "286918    6.072099    5.489463  -0.053134  -0.019454   0.100146   0.049105  \n",
       "286919    6.356222    5.935291  -0.021325   0.081853   0.229648  -0.015225  \n",
       "286920    5.446889    6.183301   0.046881  -0.019542  -0.072863   0.039244  \n",
       "\n",
       "[17412 rows x 12 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_exist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dev_id</th>\n",
       "      <th>power</th>\n",
       "      <th>sum_real</th>\n",
       "      <th>sum_imaginary</th>\n",
       "      <th>var_real</th>\n",
       "      <th>var_imaginary</th>\n",
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       "      <th>imag_kurt</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1050</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>-0.020941</td>\n",
       "      <td>0.034767</td>\n",
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       "    <tr>\n",
       "      <th>1051</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.022378</td>\n",
       "      <td>-53.375517</td>\n",
       "      <td>30.147536</td>\n",
       "      <td>0.521523</td>\n",
       "      <td>0.500477</td>\n",
       "      <td>5.183676</td>\n",
       "      <td>4.758387</td>\n",
       "      <td>-0.016376</td>\n",
       "      <td>-0.028666</td>\n",
       "      <td>-0.053972</td>\n",
       "      <td>-0.000674</td>\n",
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       "    <tr>\n",
       "      <th>1052</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.004948</td>\n",
       "      <td>-35.400818</td>\n",
       "      <td>36.200485</td>\n",
       "      <td>0.490351</td>\n",
       "      <td>0.514339</td>\n",
       "      <td>4.874140</td>\n",
       "      <td>4.837668</td>\n",
       "      <td>-0.078207</td>\n",
       "      <td>0.017846</td>\n",
       "      <td>-0.036742</td>\n",
       "      <td>-0.040723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1053</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.016567</td>\n",
       "      <td>-50.525922</td>\n",
       "      <td>43.191360</td>\n",
       "      <td>0.492742</td>\n",
       "      <td>0.523381</td>\n",
       "      <td>4.595108</td>\n",
       "      <td>5.492037</td>\n",
       "      <td>0.062661</td>\n",
       "      <td>0.007094</td>\n",
       "      <td>-0.077054</td>\n",
       "      <td>0.100331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1054</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.001843</td>\n",
       "      <td>11.379094</td>\n",
       "      <td>-69.494562</td>\n",
       "      <td>0.492097</td>\n",
       "      <td>0.509248</td>\n",
       "      <td>4.976890</td>\n",
       "      <td>4.757671</td>\n",
       "      <td>-0.031544</td>\n",
       "      <td>-0.003440</td>\n",
       "      <td>0.009502</td>\n",
       "      <td>-0.087251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311995</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.988428</td>\n",
       "      <td>-19.851018</td>\n",
       "      <td>103.916798</td>\n",
       "      <td>0.502895</td>\n",
       "      <td>0.484407</td>\n",
       "      <td>5.359710</td>\n",
       "      <td>4.660864</td>\n",
       "      <td>-0.025464</td>\n",
       "      <td>0.053899</td>\n",
       "      <td>0.028322</td>\n",
       "      <td>-0.173582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311996</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.991334</td>\n",
       "      <td>67.828097</td>\n",
       "      <td>-38.411368</td>\n",
       "      <td>0.496261</td>\n",
       "      <td>0.494461</td>\n",
       "      <td>5.647372</td>\n",
       "      <td>5.270277</td>\n",
       "      <td>0.021848</td>\n",
       "      <td>-0.036627</td>\n",
       "      <td>-0.075516</td>\n",
       "      <td>0.160396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311997</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.970140</td>\n",
       "      <td>44.460369</td>\n",
       "      <td>-23.387465</td>\n",
       "      <td>0.484325</td>\n",
       "      <td>0.485561</td>\n",
       "      <td>4.563300</td>\n",
       "      <td>5.033640</td>\n",
       "      <td>-0.009092</td>\n",
       "      <td>-0.028957</td>\n",
       "      <td>-0.071585</td>\n",
       "      <td>0.149498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311998</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.032394</td>\n",
       "      <td>21.267066</td>\n",
       "      <td>-65.676425</td>\n",
       "      <td>0.502799</td>\n",
       "      <td>0.529116</td>\n",
       "      <td>4.611650</td>\n",
       "      <td>4.968229</td>\n",
       "      <td>-0.074763</td>\n",
       "      <td>0.020363</td>\n",
       "      <td>-0.084400</td>\n",
       "      <td>-0.018605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311999</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.004090</td>\n",
       "      <td>53.653991</td>\n",
       "      <td>6.690110</td>\n",
       "      <td>0.498774</td>\n",
       "      <td>0.505022</td>\n",
       "      <td>4.937004</td>\n",
       "      <td>5.164590</td>\n",
       "      <td>0.009907</td>\n",
       "      <td>0.020230</td>\n",
       "      <td>-0.034756</td>\n",
       "      <td>0.055512</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>294588 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        dev_id     power   sum_real  sum_imaginary  var_real  var_imaginary  \\\n",
       "1050       0.0  0.989097  20.566411     -26.862397  0.495371       0.493611   \n",
       "1051       0.0  1.022378 -53.375517      30.147536  0.521523       0.500477   \n",
       "1052       0.0  1.004948 -35.400818      36.200485  0.490351       0.514339   \n",
       "1053       0.0  1.016567 -50.525922      43.191360  0.492742       0.523381   \n",
       "1054       0.0  1.001843  11.379094     -69.494562  0.492097       0.509248   \n",
       "...        ...       ...        ...            ...       ...            ...   \n",
       "311995     0.0  0.988428 -19.851018     103.916798  0.502895       0.484407   \n",
       "311996     0.0  0.991334  67.828097     -38.411368  0.496261       0.494461   \n",
       "311997     0.0  0.970140  44.460369     -23.387465  0.484325       0.485561   \n",
       "311998     0.0  1.032394  21.267066     -65.676425  0.502799       0.529116   \n",
       "311999     0.0  1.004090  53.653991       6.690110  0.498774       0.505022   \n",
       "\n",
       "        range_real  range_imag  real_skew  imag_skew  real_kurt  imag_kurt  \n",
       "1050      4.838952    4.811725   0.010035  -0.035415  -0.020941   0.034767  \n",
       "1051      5.183676    4.758387  -0.016376  -0.028666  -0.053972  -0.000674  \n",
       "1052      4.874140    4.837668  -0.078207   0.017846  -0.036742  -0.040723  \n",
       "1053      4.595108    5.492037   0.062661   0.007094  -0.077054   0.100331  \n",
       "1054      4.976890    4.757671  -0.031544  -0.003440   0.009502  -0.087251  \n",
       "...            ...         ...        ...        ...        ...        ...  \n",
       "311995    5.359710    4.660864  -0.025464   0.053899   0.028322  -0.173582  \n",
       "311996    5.647372    5.270277   0.021848  -0.036627  -0.075516   0.160396  \n",
       "311997    4.563300    5.033640  -0.009092  -0.028957  -0.071585   0.149498  \n",
       "311998    4.611650    4.968229  -0.074763   0.020363  -0.084400  -0.018605  \n",
       "311999    4.937004    5.164590   0.009907   0.020230  -0.034756   0.055512  \n",
       "\n",
       "[294588 rows x 12 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_no_exist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_signal_exist_5000 = df_signal_exist.head(5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000, 12)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_exist_5000.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_signal_not_exist_5000 = df_signal_no_exist.head(5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000, 12)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_not_exist_5000.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/manash/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py:3997: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  errors=errors,\n"
     ]
    }
   ],
   "source": [
    "df_signal_exist_5000.drop(['dev_id'], axis = 1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000, 11)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_exist_5000.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>power</th>\n",
       "      <th>sum_real</th>\n",
       "      <th>sum_imaginary</th>\n",
       "      <th>var_real</th>\n",
       "      <th>var_imaginary</th>\n",
       "      <th>range_real</th>\n",
       "      <th>range_imag</th>\n",
       "      <th>real_skew</th>\n",
       "      <th>imag_skew</th>\n",
       "      <th>real_kurt</th>\n",
       "      <th>imag_kurt</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.302275</td>\n",
       "      <td>-148.383246</td>\n",
       "      <td>8.859367</td>\n",
       "      <td>0.647134</td>\n",
       "      <td>0.652920</td>\n",
       "      <td>6.086627</td>\n",
       "      <td>5.817704</td>\n",
       "      <td>0.015940</td>\n",
       "      <td>-0.031028</td>\n",
       "      <td>0.089002</td>\n",
       "      <td>0.076348</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.233753</td>\n",
       "      <td>18.771329</td>\n",
       "      <td>-1.479467</td>\n",
       "      <td>0.622038</td>\n",
       "      <td>0.611679</td>\n",
       "      <td>5.833700</td>\n",
       "      <td>5.525670</td>\n",
       "      <td>-0.020869</td>\n",
       "      <td>0.042011</td>\n",
       "      <td>-0.026865</td>\n",
       "      <td>0.110252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.303249</td>\n",
       "      <td>-72.414643</td>\n",
       "      <td>18.445490</td>\n",
       "      <td>0.660148</td>\n",
       "      <td>0.642540</td>\n",
       "      <td>6.710240</td>\n",
       "      <td>5.685070</td>\n",
       "      <td>0.040367</td>\n",
       "      <td>-0.027656</td>\n",
       "      <td>-0.012665</td>\n",
       "      <td>-0.018707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.284394</td>\n",
       "      <td>0.828373</td>\n",
       "      <td>5.848109</td>\n",
       "      <td>0.654443</td>\n",
       "      <td>0.629948</td>\n",
       "      <td>5.599138</td>\n",
       "      <td>5.925905</td>\n",
       "      <td>-0.021557</td>\n",
       "      <td>-0.001351</td>\n",
       "      <td>-0.180079</td>\n",
       "      <td>0.106060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.316451</td>\n",
       "      <td>-31.339765</td>\n",
       "      <td>-20.200707</td>\n",
       "      <td>0.636542</td>\n",
       "      <td>0.679769</td>\n",
       "      <td>5.471411</td>\n",
       "      <td>5.823790</td>\n",
       "      <td>-0.063377</td>\n",
       "      <td>-0.001626</td>\n",
       "      <td>0.021798</td>\n",
       "      <td>-0.029898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79130</th>\n",
       "      <td>1.290493</td>\n",
       "      <td>17.679205</td>\n",
       "      <td>31.291752</td>\n",
       "      <td>0.647077</td>\n",
       "      <td>0.643286</td>\n",
       "      <td>5.801017</td>\n",
       "      <td>5.777905</td>\n",
       "      <td>-0.022151</td>\n",
       "      <td>-0.003707</td>\n",
       "      <td>-0.034332</td>\n",
       "      <td>0.146413</td>\n",
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       "    <tr>\n",
       "      <th>79131</th>\n",
       "      <td>1.391298</td>\n",
       "      <td>0.535995</td>\n",
       "      <td>46.465284</td>\n",
       "      <td>0.687326</td>\n",
       "      <td>0.703754</td>\n",
       "      <td>5.839419</td>\n",
       "      <td>6.895214</td>\n",
       "      <td>-0.056243</td>\n",
       "      <td>-0.048003</td>\n",
       "      <td>0.008089</td>\n",
       "      <td>0.105335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79132</th>\n",
       "      <td>1.290266</td>\n",
       "      <td>-14.701503</td>\n",
       "      <td>-45.240964</td>\n",
       "      <td>0.637906</td>\n",
       "      <td>0.652133</td>\n",
       "      <td>6.217201</td>\n",
       "      <td>6.394436</td>\n",
       "      <td>-0.019687</td>\n",
       "      <td>-0.035290</td>\n",
       "      <td>-0.000770</td>\n",
       "      <td>0.189347</td>\n",
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       "    <tr>\n",
       "      <th>79133</th>\n",
       "      <td>1.369671</td>\n",
       "      <td>18.016990</td>\n",
       "      <td>7.325840</td>\n",
       "      <td>0.685604</td>\n",
       "      <td>0.684028</td>\n",
       "      <td>6.543067</td>\n",
       "      <td>6.362034</td>\n",
       "      <td>-0.008542</td>\n",
       "      <td>-0.033252</td>\n",
       "      <td>0.079863</td>\n",
       "      <td>0.180044</td>\n",
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       "    <tr>\n",
       "      <th>79134</th>\n",
       "      <td>1.324680</td>\n",
       "      <td>61.035621</td>\n",
       "      <td>-28.515046</td>\n",
       "      <td>0.655898</td>\n",
       "      <td>0.668326</td>\n",
       "      <td>5.785399</td>\n",
       "      <td>5.715567</td>\n",
       "      <td>0.009729</td>\n",
       "      <td>-0.021277</td>\n",
       "      <td>-0.034234</td>\n",
       "      <td>0.044558</td>\n",
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       "  </tbody>\n",
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       "<p>5000 rows × 11 columns</p>\n",
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      ],
      "text/plain": [
       "          power    sum_real  sum_imaginary  var_real  var_imaginary  \\\n",
       "0      1.302275 -148.383246       8.859367  0.647134       0.652920   \n",
       "1      1.233753   18.771329      -1.479467  0.622038       0.611679   \n",
       "2      1.303249  -72.414643      18.445490  0.660148       0.642540   \n",
       "3      1.284394    0.828373       5.848109  0.654443       0.629948   \n",
       "4      1.316451  -31.339765     -20.200707  0.636542       0.679769   \n",
       "...         ...         ...            ...       ...            ...   \n",
       "79130  1.290493   17.679205      31.291752  0.647077       0.643286   \n",
       "79131  1.391298    0.535995      46.465284  0.687326       0.703754   \n",
       "79132  1.290266  -14.701503     -45.240964  0.637906       0.652133   \n",
       "79133  1.369671   18.016990       7.325840  0.685604       0.684028   \n",
       "79134  1.324680   61.035621     -28.515046  0.655898       0.668326   \n",
       "\n",
       "       range_real  range_imag  real_skew  imag_skew  real_kurt  imag_kurt  \n",
       "0        6.086627    5.817704   0.015940  -0.031028   0.089002   0.076348  \n",
       "1        5.833700    5.525670  -0.020869   0.042011  -0.026865   0.110252  \n",
       "2        6.710240    5.685070   0.040367  -0.027656  -0.012665  -0.018707  \n",
       "3        5.599138    5.925905  -0.021557  -0.001351  -0.180079   0.106060  \n",
       "4        5.471411    5.823790  -0.063377  -0.001626   0.021798  -0.029898  \n",
       "...           ...         ...        ...        ...        ...        ...  \n",
       "79130    5.801017    5.777905  -0.022151  -0.003707  -0.034332   0.146413  \n",
       "79131    5.839419    6.895214  -0.056243  -0.048003   0.008089   0.105335  \n",
       "79132    6.217201    6.394436  -0.019687  -0.035290  -0.000770   0.189347  \n",
       "79133    6.543067    6.362034  -0.008542  -0.033252   0.079863   0.180044  \n",
       "79134    5.785399    5.715567   0.009729  -0.021277  -0.034234   0.044558  \n",
       "\n",
       "[5000 rows x 11 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_exist_5000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/manash/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py:3997: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  errors=errors,\n"
     ]
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   ],
   "source": [
    "df_signal_not_exist_5000.drop(['dev_id'], axis = 1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000, 11)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df_signal_not_exist_5000.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>power</th>\n",
       "      <th>sum_real</th>\n",
       "      <th>sum_imaginary</th>\n",
       "      <th>var_real</th>\n",
       "      <th>var_imaginary</th>\n",
       "      <th>range_real</th>\n",
       "      <th>range_imag</th>\n",
       "      <th>real_skew</th>\n",
       "      <th>imag_skew</th>\n",
       "      <th>real_kurt</th>\n",
       "      <th>imag_kurt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1050</th>\n",
       "      <td>0.989097</td>\n",
       "      <td>20.566411</td>\n",
       "      <td>-26.862397</td>\n",
       "      <td>0.495371</td>\n",
       "      <td>0.493611</td>\n",
       "      <td>4.838952</td>\n",
       "      <td>4.811725</td>\n",
       "      <td>0.010035</td>\n",
       "      <td>-0.035415</td>\n",
       "      <td>-0.020941</td>\n",
       "      <td>0.034767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1051</th>\n",
       "      <td>1.022378</td>\n",
       "      <td>-53.375517</td>\n",
       "      <td>30.147536</td>\n",
       "      <td>0.521523</td>\n",
       "      <td>0.500477</td>\n",
       "      <td>5.183676</td>\n",
       "      <td>4.758387</td>\n",
       "      <td>-0.016376</td>\n",
       "      <td>-0.028666</td>\n",
       "      <td>-0.053972</td>\n",
       "      <td>-0.000674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1052</th>\n",
       "      <td>1.004948</td>\n",
       "      <td>-35.400818</td>\n",
       "      <td>36.200485</td>\n",
       "      <td>0.490351</td>\n",
       "      <td>0.514339</td>\n",
       "      <td>4.874140</td>\n",
       "      <td>4.837668</td>\n",
       "      <td>-0.078207</td>\n",
       "      <td>0.017846</td>\n",
       "      <td>-0.036742</td>\n",
       "      <td>-0.040723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1053</th>\n",
       "      <td>1.016567</td>\n",
       "      <td>-50.525922</td>\n",
       "      <td>43.191360</td>\n",
       "      <td>0.492742</td>\n",
       "      <td>0.523381</td>\n",
       "      <td>4.595108</td>\n",
       "      <td>5.492037</td>\n",
       "      <td>0.062661</td>\n",
       "      <td>0.007094</td>\n",
       "      <td>-0.077054</td>\n",
       "      <td>0.100331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1054</th>\n",
       "      <td>1.001843</td>\n",
       "      <td>11.379094</td>\n",
       "      <td>-69.494562</td>\n",
       "      <td>0.492097</td>\n",
       "      <td>0.509248</td>\n",
       "      <td>4.976890</td>\n",
       "      <td>4.757671</td>\n",
       "      <td>-0.031544</td>\n",
       "      <td>-0.003440</td>\n",
       "      <td>0.009502</td>\n",
       "      <td>-0.087251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6045</th>\n",
       "      <td>1.006118</td>\n",
       "      <td>1.031136</td>\n",
       "      <td>-37.629720</td>\n",
       "      <td>0.500504</td>\n",
       "      <td>0.505472</td>\n",
       "      <td>4.696343</td>\n",
       "      <td>4.989312</td>\n",
       "      <td>-0.052541</td>\n",
       "      <td>0.019101</td>\n",
       "      <td>-0.048651</td>\n",
       "      <td>0.017238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6046</th>\n",
       "      <td>0.988552</td>\n",
       "      <td>-16.948006</td>\n",
       "      <td>7.459322</td>\n",
       "      <td>0.487218</td>\n",
       "      <td>0.501299</td>\n",
       "      <td>5.354748</td>\n",
       "      <td>4.763830</td>\n",
       "      <td>0.014340</td>\n",
       "      <td>-0.020708</td>\n",
       "      <td>0.089044</td>\n",
       "      <td>-0.086497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6047</th>\n",
       "      <td>0.951247</td>\n",
       "      <td>-32.409147</td>\n",
       "      <td>14.053732</td>\n",
       "      <td>0.472221</td>\n",
       "      <td>0.478901</td>\n",
       "      <td>4.750605</td>\n",
       "      <td>4.889823</td>\n",
       "      <td>0.014646</td>\n",
       "      <td>0.054514</td>\n",
       "      <td>-0.020543</td>\n",
       "      <td>-0.067727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6048</th>\n",
       "      <td>1.010960</td>\n",
       "      <td>-79.683144</td>\n",
       "      <td>-96.340756</td>\n",
       "      <td>0.496925</td>\n",
       "      <td>0.512464</td>\n",
       "      <td>4.677043</td>\n",
       "      <td>5.339035</td>\n",
       "      <td>-0.031229</td>\n",
       "      <td>0.010412</td>\n",
       "      <td>-0.078573</td>\n",
       "      <td>0.030164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6049</th>\n",
       "      <td>1.020221</td>\n",
       "      <td>3.186988</td>\n",
       "      <td>7.187735</td>\n",
       "      <td>0.521947</td>\n",
       "      <td>0.498268</td>\n",
       "      <td>5.085673</td>\n",
       "      <td>4.929013</td>\n",
       "      <td>0.026559</td>\n",
       "      <td>0.063185</td>\n",
       "      <td>0.075139</td>\n",
       "      <td>-0.060493</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5000 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         power   sum_real  sum_imaginary  var_real  var_imaginary  range_real  \\\n",
       "1050  0.989097  20.566411     -26.862397  0.495371       0.493611    4.838952   \n",
       "1051  1.022378 -53.375517      30.147536  0.521523       0.500477    5.183676   \n",
       "1052  1.004948 -35.400818      36.200485  0.490351       0.514339    4.874140   \n",
       "1053  1.016567 -50.525922      43.191360  0.492742       0.523381    4.595108   \n",
       "1054  1.001843  11.379094     -69.494562  0.492097       0.509248    4.976890   \n",
       "...        ...        ...            ...       ...            ...         ...   \n",
       "6045  1.006118   1.031136     -37.629720  0.500504       0.505472    4.696343   \n",
       "6046  0.988552 -16.948006       7.459322  0.487218       0.501299    5.354748   \n",
       "6047  0.951247 -32.409147      14.053732  0.472221       0.478901    4.750605   \n",
       "6048  1.010960 -79.683144     -96.340756  0.496925       0.512464    4.677043   \n",
       "6049  1.020221   3.186988       7.187735  0.521947       0.498268    5.085673   \n",
       "\n",
       "      range_imag  real_skew  imag_skew  real_kurt  imag_kurt  \n",
       "1050    4.811725   0.010035  -0.035415  -0.020941   0.034767  \n",
       "1051    4.758387  -0.016376  -0.028666  -0.053972  -0.000674  \n",
       "1052    4.837668  -0.078207   0.017846  -0.036742  -0.040723  \n",
       "1053    5.492037   0.062661   0.007094  -0.077054   0.100331  \n",
       "1054    4.757671  -0.031544  -0.003440   0.009502  -0.087251  \n",
       "...          ...        ...        ...        ...        ...  \n",
       "6045    4.989312  -0.052541   0.019101  -0.048651   0.017238  \n",
       "6046    4.763830   0.014340  -0.020708   0.089044  -0.086497  \n",
       "6047    4.889823   0.014646   0.054514  -0.020543  -0.067727  \n",
       "6048    5.339035  -0.031229   0.010412  -0.078573   0.030164  \n",
       "6049    4.929013   0.026559   0.063185   0.075139  -0.060493  \n",
       "\n",
       "[5000 rows x 11 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_not_exist_5000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/manash/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "df_signal_exist_5000['Signal'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000, 12)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_exist_5000.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>power</th>\n",
       "      <th>sum_real</th>\n",
       "      <th>sum_imaginary</th>\n",
       "      <th>var_real</th>\n",
       "      <th>var_imaginary</th>\n",
       "      <th>range_real</th>\n",
       "      <th>range_imag</th>\n",
       "      <th>real_skew</th>\n",
       "      <th>imag_skew</th>\n",
       "      <th>real_kurt</th>\n",
       "      <th>imag_kurt</th>\n",
       "      <th>Signal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.302275</td>\n",
       "      <td>-148.383246</td>\n",
       "      <td>8.859367</td>\n",
       "      <td>0.647134</td>\n",
       "      <td>0.652920</td>\n",
       "      <td>6.086627</td>\n",
       "      <td>5.817704</td>\n",
       "      <td>0.015940</td>\n",
       "      <td>-0.031028</td>\n",
       "      <td>0.089002</td>\n",
       "      <td>0.076348</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.233753</td>\n",
       "      <td>18.771329</td>\n",
       "      <td>-1.479467</td>\n",
       "      <td>0.622038</td>\n",
       "      <td>0.611679</td>\n",
       "      <td>5.833700</td>\n",
       "      <td>5.525670</td>\n",
       "      <td>-0.020869</td>\n",
       "      <td>0.042011</td>\n",
       "      <td>-0.026865</td>\n",
       "      <td>0.110252</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.303249</td>\n",
       "      <td>-72.414643</td>\n",
       "      <td>18.445490</td>\n",
       "      <td>0.660148</td>\n",
       "      <td>0.642540</td>\n",
       "      <td>6.710240</td>\n",
       "      <td>5.685070</td>\n",
       "      <td>0.040367</td>\n",
       "      <td>-0.027656</td>\n",
       "      <td>-0.012665</td>\n",
       "      <td>-0.018707</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.284394</td>\n",
       "      <td>0.828373</td>\n",
       "      <td>5.848109</td>\n",
       "      <td>0.654443</td>\n",
       "      <td>0.629948</td>\n",
       "      <td>5.599138</td>\n",
       "      <td>5.925905</td>\n",
       "      <td>-0.021557</td>\n",
       "      <td>-0.001351</td>\n",
       "      <td>-0.180079</td>\n",
       "      <td>0.106060</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.316451</td>\n",
       "      <td>-31.339765</td>\n",
       "      <td>-20.200707</td>\n",
       "      <td>0.636542</td>\n",
       "      <td>0.679769</td>\n",
       "      <td>5.471411</td>\n",
       "      <td>5.823790</td>\n",
       "      <td>-0.063377</td>\n",
       "      <td>-0.001626</td>\n",
       "      <td>0.021798</td>\n",
       "      <td>-0.029898</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79130</th>\n",
       "      <td>1.290493</td>\n",
       "      <td>17.679205</td>\n",
       "      <td>31.291752</td>\n",
       "      <td>0.647077</td>\n",
       "      <td>0.643286</td>\n",
       "      <td>5.801017</td>\n",
       "      <td>5.777905</td>\n",
       "      <td>-0.022151</td>\n",
       "      <td>-0.003707</td>\n",
       "      <td>-0.034332</td>\n",
       "      <td>0.146413</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79131</th>\n",
       "      <td>1.391298</td>\n",
       "      <td>0.535995</td>\n",
       "      <td>46.465284</td>\n",
       "      <td>0.687326</td>\n",
       "      <td>0.703754</td>\n",
       "      <td>5.839419</td>\n",
       "      <td>6.895214</td>\n",
       "      <td>-0.056243</td>\n",
       "      <td>-0.048003</td>\n",
       "      <td>0.008089</td>\n",
       "      <td>0.105335</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79132</th>\n",
       "      <td>1.290266</td>\n",
       "      <td>-14.701503</td>\n",
       "      <td>-45.240964</td>\n",
       "      <td>0.637906</td>\n",
       "      <td>0.652133</td>\n",
       "      <td>6.217201</td>\n",
       "      <td>6.394436</td>\n",
       "      <td>-0.019687</td>\n",
       "      <td>-0.035290</td>\n",
       "      <td>-0.000770</td>\n",
       "      <td>0.189347</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79133</th>\n",
       "      <td>1.369671</td>\n",
       "      <td>18.016990</td>\n",
       "      <td>7.325840</td>\n",
       "      <td>0.685604</td>\n",
       "      <td>0.684028</td>\n",
       "      <td>6.543067</td>\n",
       "      <td>6.362034</td>\n",
       "      <td>-0.008542</td>\n",
       "      <td>-0.033252</td>\n",
       "      <td>0.079863</td>\n",
       "      <td>0.180044</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79134</th>\n",
       "      <td>1.324680</td>\n",
       "      <td>61.035621</td>\n",
       "      <td>-28.515046</td>\n",
       "      <td>0.655898</td>\n",
       "      <td>0.668326</td>\n",
       "      <td>5.785399</td>\n",
       "      <td>5.715567</td>\n",
       "      <td>0.009729</td>\n",
       "      <td>-0.021277</td>\n",
       "      <td>-0.034234</td>\n",
       "      <td>0.044558</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5000 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          power    sum_real  sum_imaginary  var_real  var_imaginary  \\\n",
       "0      1.302275 -148.383246       8.859367  0.647134       0.652920   \n",
       "1      1.233753   18.771329      -1.479467  0.622038       0.611679   \n",
       "2      1.303249  -72.414643      18.445490  0.660148       0.642540   \n",
       "3      1.284394    0.828373       5.848109  0.654443       0.629948   \n",
       "4      1.316451  -31.339765     -20.200707  0.636542       0.679769   \n",
       "...         ...         ...            ...       ...            ...   \n",
       "79130  1.290493   17.679205      31.291752  0.647077       0.643286   \n",
       "79131  1.391298    0.535995      46.465284  0.687326       0.703754   \n",
       "79132  1.290266  -14.701503     -45.240964  0.637906       0.652133   \n",
       "79133  1.369671   18.016990       7.325840  0.685604       0.684028   \n",
       "79134  1.324680   61.035621     -28.515046  0.655898       0.668326   \n",
       "\n",
       "       range_real  range_imag  real_skew  imag_skew  real_kurt  imag_kurt  \\\n",
       "0        6.086627    5.817704   0.015940  -0.031028   0.089002   0.076348   \n",
       "1        5.833700    5.525670  -0.020869   0.042011  -0.026865   0.110252   \n",
       "2        6.710240    5.685070   0.040367  -0.027656  -0.012665  -0.018707   \n",
       "3        5.599138    5.925905  -0.021557  -0.001351  -0.180079   0.106060   \n",
       "4        5.471411    5.823790  -0.063377  -0.001626   0.021798  -0.029898   \n",
       "...           ...         ...        ...        ...        ...        ...   \n",
       "79130    5.801017    5.777905  -0.022151  -0.003707  -0.034332   0.146413   \n",
       "79131    5.839419    6.895214  -0.056243  -0.048003   0.008089   0.105335   \n",
       "79132    6.217201    6.394436  -0.019687  -0.035290  -0.000770   0.189347   \n",
       "79133    6.543067    6.362034  -0.008542  -0.033252   0.079863   0.180044   \n",
       "79134    5.785399    5.715567   0.009729  -0.021277  -0.034234   0.044558   \n",
       "\n",
       "       Signal  \n",
       "0           1  \n",
       "1           1  \n",
       "2           1  \n",
       "3           1  \n",
       "4           1  \n",
       "...       ...  \n",
       "79130       1  \n",
       "79131       1  \n",
       "79132       1  \n",
       "79133       1  \n",
       "79134       1  \n",
       "\n",
       "[5000 rows x 12 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_exist_5000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/manash/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "df_signal_not_exist_5000['Signal'] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000, 12)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_not_exist_5000.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "         power   sum_real  sum_imaginary  var_real  var_imaginary  range_real  \\\n",
       "1050  0.989097  20.566411     -26.862397  0.495371       0.493611    4.838952   \n",
       "1051  1.022378 -53.375517      30.147536  0.521523       0.500477    5.183676   \n",
       "1052  1.004948 -35.400818      36.200485  0.490351       0.514339    4.874140   \n",
       "1053  1.016567 -50.525922      43.191360  0.492742       0.523381    4.595108   \n",
       "1054  1.001843  11.379094     -69.494562  0.492097       0.509248    4.976890   \n",
       "...        ...        ...            ...       ...            ...         ...   \n",
       "6045  1.006118   1.031136     -37.629720  0.500504       0.505472    4.696343   \n",
       "6046  0.988552 -16.948006       7.459322  0.487218       0.501299    5.354748   \n",
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       "6049  1.020221   3.186988       7.187735  0.521947       0.498268    5.085673   \n",
       "\n",
       "      range_imag  real_skew  imag_skew  real_kurt  imag_kurt  Signal  \n",
       "1050    4.811725   0.010035  -0.035415  -0.020941   0.034767       0  \n",
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       "1054    4.757671  -0.031544  -0.003440   0.009502  -0.087251       0  \n",
       "...          ...        ...        ...        ...        ...     ...  \n",
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       "6046    4.763830   0.014340  -0.020708   0.089044  -0.086497       0  \n",
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       "6049    4.929013   0.026559   0.063185   0.075139  -0.060493       0  \n",
       "\n",
       "[5000 rows x 12 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_signal_not_exist_5000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "concatenate = pd.concat([df_signal_exist_5000, df_signal_not_exist_5000], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000, 12)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "concatenate.shape"
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  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
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       "      <td>0.010412</td>\n",
       "      <td>-0.078573</td>\n",
       "      <td>0.030164</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6049</th>\n",
       "      <td>1.020221</td>\n",
       "      <td>3.186988</td>\n",
       "      <td>7.187735</td>\n",
       "      <td>0.521947</td>\n",
       "      <td>0.498268</td>\n",
       "      <td>5.085673</td>\n",
       "      <td>4.929013</td>\n",
       "      <td>0.026559</td>\n",
       "      <td>0.063185</td>\n",
       "      <td>0.075139</td>\n",
       "      <td>-0.060493</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         power    sum_real  sum_imaginary  var_real  var_imaginary  \\\n",
       "0     1.302275 -148.383246       8.859367  0.647134       0.652920   \n",
       "1     1.233753   18.771329      -1.479467  0.622038       0.611679   \n",
       "2     1.303249  -72.414643      18.445490  0.660148       0.642540   \n",
       "3     1.284394    0.828373       5.848109  0.654443       0.629948   \n",
       "4     1.316451  -31.339765     -20.200707  0.636542       0.679769   \n",
       "...        ...         ...            ...       ...            ...   \n",
       "6045  1.006118    1.031136     -37.629720  0.500504       0.505472   \n",
       "6046  0.988552  -16.948006       7.459322  0.487218       0.501299   \n",
       "6047  0.951247  -32.409147      14.053732  0.472221       0.478901   \n",
       "6048  1.010960  -79.683144     -96.340756  0.496925       0.512464   \n",
       "6049  1.020221    3.186988       7.187735  0.521947       0.498268   \n",
       "\n",
       "      range_real  range_imag  real_skew  imag_skew  real_kurt  imag_kurt  \\\n",
       "0       6.086627    5.817704   0.015940  -0.031028   0.089002   0.076348   \n",
       "1       5.833700    5.525670  -0.020869   0.042011  -0.026865   0.110252   \n",
       "2       6.710240    5.685070   0.040367  -0.027656  -0.012665  -0.018707   \n",
       "3       5.599138    5.925905  -0.021557  -0.001351  -0.180079   0.106060   \n",
       "4       5.471411    5.823790  -0.063377  -0.001626   0.021798  -0.029898   \n",
       "...          ...         ...        ...        ...        ...        ...   \n",
       "6045    4.696343    4.989312  -0.052541   0.019101  -0.048651   0.017238   \n",
       "6046    5.354748    4.763830   0.014340  -0.020708   0.089044  -0.086497   \n",
       "6047    4.750605    4.889823   0.014646   0.054514  -0.020543  -0.067727   \n",
       "6048    4.677043    5.339035  -0.031229   0.010412  -0.078573   0.030164   \n",
       "6049    5.085673    4.929013   0.026559   0.063185   0.075139  -0.060493   \n",
       "\n",
       "      Signal  \n",
       "0          1  \n",
       "1          1  \n",
       "2          1  \n",
       "3          1  \n",
       "4          1  \n",
       "...      ...  \n",
       "6045       0  \n",
       "6046       0  \n",
       "6047       0  \n",
       "6048       0  \n",
       "6049       0  \n",
       "\n",
       "[10000 rows x 12 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "concatenate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "concatenate_normalized=(concatenate-concatenate.min())/(concatenate.max()-concatenate.min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>power</th>\n",
       "      <th>sum_real</th>\n",
       "      <th>sum_imaginary</th>\n",
       "      <th>var_real</th>\n",
       "      <th>var_imaginary</th>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.605257</td>\n",
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       "      <td>0.590333</td>\n",
       "      <td>0.572724</td>\n",
       "      <td>0.458260</td>\n",
       "      <td>0.396512</td>\n",
       "      <td>0.465438</td>\n",
       "      <td>0.659678</td>\n",
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       "      <td>0.528129</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.744027</td>\n",
       "      <td>0.258759</td>\n",
       "      <td>0.532045</td>\n",
       "      <td>0.725679</td>\n",
       "      <td>0.685680</td>\n",
       "      <td>0.676472</td>\n",
       "      <td>0.442642</td>\n",
       "      <td>0.640662</td>\n",
       "      <td>0.449694</td>\n",
       "      <td>0.352659</td>\n",
       "      <td>0.346805</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.706376</td>\n",
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       "      <td>0.493037</td>\n",
       "      <td>0.705415</td>\n",
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       "      <td>0.399867</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>0.398665</td>\n",
       "      <td>0.412376</td>\n",
       "      <td>0.641844</td>\n",
       "      <td>0.821945</td>\n",
       "      <td>0.368070</td>\n",
       "      <td>0.482786</td>\n",
       "      <td>0.343806</td>\n",
       "      <td>0.528152</td>\n",
       "      <td>0.396224</td>\n",
       "      <td>0.331070</td>\n",
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       "      <th>6045</th>\n",
       "      <td>0.150718</td>\n",
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       "      <td>0.358406</td>\n",
       "      <td>0.158718</td>\n",
       "      <td>0.183983</td>\n",
       "      <td>0.175120</td>\n",
       "      <td>0.241293</td>\n",
       "      <td>0.374812</td>\n",
       "      <td>0.590625</td>\n",
       "      <td>0.307169</td>\n",
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       "      <th>6046</th>\n",
       "      <td>0.115640</td>\n",
       "      <td>0.447685</td>\n",
       "      <td>0.498026</td>\n",
       "      <td>0.111533</td>\n",
       "      <td>0.168710</td>\n",
       "      <td>0.339027</td>\n",
       "      <td>0.176039</td>\n",
       "      <td>0.566188</td>\n",
       "      <td>0.470639</td>\n",
       "      <td>0.481230</td>\n",
       "      <td>0.251489</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.212501</td>\n",
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       "      <th>6048</th>\n",
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       "      <td>0.176605</td>\n",
       "      <td>0.146005</td>\n",
       "      <td>0.209577</td>\n",
       "      <td>0.170315</td>\n",
       "      <td>0.342501</td>\n",
       "      <td>0.435797</td>\n",
       "      <td>0.564436</td>\n",
       "      <td>0.269345</td>\n",
       "      <td>0.415520</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>6049</th>\n",
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       "      <td>0.723499</td>\n",
       "      <td>0.463652</td>\n",
       "      <td>0.288053</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         power  sum_real  sum_imaginary  var_real  var_imaginary  range_real  \\\n",
       "0     0.742082  0.000000       0.502361  0.679459       0.723675    0.521226   \n",
       "1     0.605257  0.569350       0.470347  0.590333       0.572724    0.458260   \n",
       "2     0.744027  0.258759       0.532045  0.725679       0.685680    0.676472   \n",
       "3     0.706376  0.508234       0.493037  0.705415       0.639589    0.399867   \n",
       "4     0.770388  0.398665       0.412376  0.641844       0.821945    0.368070   \n",
       "...        ...       ...            ...       ...            ...         ...   \n",
       "6045  0.150718  0.508924       0.358406  0.158718       0.183983    0.175120   \n",
       "6046  0.115640  0.447685       0.498026  0.111533       0.168710    0.339027   \n",
       "6047  0.041152  0.395023       0.518446  0.058275       0.086727    0.188628   \n",
       "6048  0.160386  0.234001       0.176605  0.146005       0.209577    0.170315   \n",
       "6049  0.178878  0.516268       0.497185  0.234869       0.157617    0.272042   \n",
       "\n",
       "      range_imag  real_skew  imag_skew  real_kurt  imag_kurt  Signal  \n",
       "0       0.481025   0.570766   0.439531   0.481177   0.480459     1.0  \n",
       "1       0.396512   0.465438   0.659678   0.334709   0.528129     1.0  \n",
       "2       0.442642   0.640662   0.449694   0.352659   0.346805     1.0  \n",
       "3       0.512338   0.463470   0.528981   0.141032   0.522235     1.0  \n",
       "4       0.482786   0.343806   0.528152   0.396224   0.331070     1.0  \n",
       "...          ...        ...        ...        ...        ...     ...  \n",
       "6045    0.241293   0.374812   0.590625   0.307169   0.397347     0.0  \n",
       "6046    0.176039   0.566188   0.470639   0.481230   0.251489     0.0  \n",
       "6047    0.212501   0.567065   0.697364   0.342701   0.277881     0.0  \n",
       "6048    0.342501   0.435797   0.564436   0.269345   0.415520     0.0  \n",
       "6049    0.223842   0.601151   0.723499   0.463652   0.288053     0.0  \n",
       "\n",
       "[10000 rows x 12 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "concatenate_normalized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
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       "      <td>0.412376</td>\n",
       "      <td>0.641844</td>\n",
       "      <td>0.821945</td>\n",
       "      <td>0.368070</td>\n",
       "      <td>0.482786</td>\n",
       "      <td>0.343806</td>\n",
       "      <td>0.528152</td>\n",
       "      <td>0.396224</td>\n",
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       "      <td>0.150718</td>\n",
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       "      <td>0.158718</td>\n",
       "      <td>0.183983</td>\n",
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       "      <td>0.374812</td>\n",
       "      <td>0.590625</td>\n",
       "      <td>0.307169</td>\n",
       "      <td>0.397347</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>6046</th>\n",
       "      <td>0.115640</td>\n",
       "      <td>0.447685</td>\n",
       "      <td>0.498026</td>\n",
       "      <td>0.111533</td>\n",
       "      <td>0.168710</td>\n",
       "      <td>0.339027</td>\n",
       "      <td>0.176039</td>\n",
       "      <td>0.566188</td>\n",
       "      <td>0.470639</td>\n",
       "      <td>0.481230</td>\n",
       "      <td>0.251489</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6047</th>\n",
       "      <td>0.041152</td>\n",
       "      <td>0.395023</td>\n",
       "      <td>0.518446</td>\n",
       "      <td>0.058275</td>\n",
       "      <td>0.086727</td>\n",
       "      <td>0.188628</td>\n",
       "      <td>0.212501</td>\n",
       "      <td>0.567065</td>\n",
       "      <td>0.697364</td>\n",
       "      <td>0.342701</td>\n",
       "      <td>0.277881</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6048</th>\n",
       "      <td>0.160386</td>\n",
       "      <td>0.234001</td>\n",
       "      <td>0.176605</td>\n",
       "      <td>0.146005</td>\n",
       "      <td>0.209577</td>\n",
       "      <td>0.170315</td>\n",
       "      <td>0.342501</td>\n",
       "      <td>0.435797</td>\n",
       "      <td>0.564436</td>\n",
       "      <td>0.269345</td>\n",
       "      <td>0.415520</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6049</th>\n",
       "      <td>0.178878</td>\n",
       "      <td>0.516268</td>\n",
       "      <td>0.497185</td>\n",
       "      <td>0.234869</td>\n",
       "      <td>0.157617</td>\n",
       "      <td>0.272042</td>\n",
       "      <td>0.223842</td>\n",
       "      <td>0.601151</td>\n",
       "      <td>0.723499</td>\n",
       "      <td>0.463652</td>\n",
       "      <td>0.288053</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         power  sum_real  sum_imaginary  var_real  var_imaginary  range_real  \\\n",
       "0     0.742082  0.000000       0.502361  0.679459       0.723675    0.521226   \n",
       "1     0.605257  0.569350       0.470347  0.590333       0.572724    0.458260   \n",
       "2     0.744027  0.258759       0.532045  0.725679       0.685680    0.676472   \n",
       "3     0.706376  0.508234       0.493037  0.705415       0.639589    0.399867   \n",
       "4     0.770388  0.398665       0.412376  0.641844       0.821945    0.368070   \n",
       "...        ...       ...            ...       ...            ...         ...   \n",
       "6045  0.150718  0.508924       0.358406  0.158718       0.183983    0.175120   \n",
       "6046  0.115640  0.447685       0.498026  0.111533       0.168710    0.339027   \n",
       "6047  0.041152  0.395023       0.518446  0.058275       0.086727    0.188628   \n",
       "6048  0.160386  0.234001       0.176605  0.146005       0.209577    0.170315   \n",
       "6049  0.178878  0.516268       0.497185  0.234869       0.157617    0.272042   \n",
       "\n",
       "      range_imag  real_skew  imag_skew  real_kurt  imag_kurt  Signal  \n",
       "0       0.481025   0.570766   0.439531   0.481177   0.480459     1.0  \n",
       "1       0.396512   0.465438   0.659678   0.334709   0.528129     1.0  \n",
       "2       0.442642   0.640662   0.449694   0.352659   0.346805     1.0  \n",
       "3       0.512338   0.463470   0.528981   0.141032   0.522235     1.0  \n",
       "4       0.482786   0.343806   0.528152   0.396224   0.331070     1.0  \n",
       "...          ...        ...        ...        ...        ...     ...  \n",
       "6045    0.241293   0.374812   0.590625   0.307169   0.397347     0.0  \n",
       "6046    0.176039   0.566188   0.470639   0.481230   0.251489     0.0  \n",
       "6047    0.212501   0.567065   0.697364   0.342701   0.277881     0.0  \n",
       "6048    0.342501   0.435797   0.564436   0.269345   0.415520     0.0  \n",
       "6049    0.223842   0.601151   0.723499   0.463652   0.288053     0.0  \n",
       "\n",
       "[10000 rows x 12 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "concatenate_normalized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "concatenate_normalized.to_csv('Pandas_ML_Project_SNR_Minus5.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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