Format Data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PLAYER', 'TEAM', 'AGE', 'GP', 'MIN', 'W', 'L', 'PTS', 'FGM', 'FGA',\n",
       "       '3PM', '3PA', 'FTM', 'FTA', 'OREB', 'DREB', 'AST', 'TOV', 'STL', 'BLK',\n",
       "       'SALARY'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "player_file_path='Data/nba_players_stats_salary_2017_2018.csv'\n",
    "player_data=pd.read_csv(player_file_path)\n",
    "player_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method DataFrame.info of                   PLAYER TEAM  AGE  GP   MIN   W   L   PTS   FGM   FGA  \\\n",
       "0           Aaron Brooks  MIN   33  32   5.9  19  13   2.3   0.9   2.2   \n",
       "1           Aaron Gordon  ORL   22  58  32.9  19  39  17.6   6.5  14.9   \n",
       "2            Abdel Nader  BOS   24  48  10.9  33  15   3.0   1.0   3.1   \n",
       "3             Al Horford  BOS   32  72  31.6  47  25  12.9   5.1  10.5   \n",
       "4           Al Jefferson  IND   33  36  13.4  17  19   7.0   3.1   5.8   \n",
       "5        Al-Farouq Aminu  POR   27  69  30.0  40  29   9.3   3.3   8.4   \n",
       "6             Alec Burks  UTA   26  64  16.5  37  27   7.7   2.7   6.5   \n",
       "7           Alex Abrines  OKC   24  75  15.1  42  33   4.7   1.5   3.9   \n",
       "8         Alex Poythress  IND   24  25   4.2  10  15   1.0   0.4   1.0   \n",
       "9       Alfonzo McKinnie  TOR   25  14   3.8  13   1   1.5   0.6   1.1   \n",
       "10          Amir Johnson  PHI   31  74  15.8  47  27   4.6   1.9   3.5   \n",
       "11        Andre Drummond  DET   24  78  33.7  37  41  15.0   6.0  11.3   \n",
       "12        Andre Iguodala  GSW   34  64  25.4  46  18   6.0   2.3   5.0   \n",
       "13        Andre Roberson  OKC   26  39  26.6  24  15   5.0   2.2   4.2   \n",
       "14          Andrew Bogut  LAL   33  24   9.0   7  17   1.5   0.7   1.0   \n",
       "15       Andrew Harrison  MEM   23  56  23.7  17  39   9.5   3.2   7.7   \n",
       "16        Andrew Wiggins  MIN   23  82  36.3  47  35  17.7   6.9  15.9   \n",
       "17            Ante Zizic  CLE   21  32   6.7  21  11   3.7   1.5   2.1   \n",
       "18         Anthony Davis  NOP   25  75  36.4  45  30  28.1  10.4  19.5   \n",
       "19    Antonius Cleveland  ATL   24  17   7.2   7  10   1.4   0.5   1.2   \n",
       "20           Aron Baynes  BOS   31  81  18.3  54  27   6.0   2.6   5.5   \n",
       "21         Arron Afflalo  ORL   32  53  12.9  16  37   3.4   1.2   3.1   \n",
       "22         Austin Rivers  LAC   25  61  33.7  30  31  15.1   5.6  13.2   \n",
       "23         Avery Bradley  LAC   27  46  31.2  22  24  14.3   5.6  13.6   \n",
       "24           Bam Adebayo  MIA   20  69  19.8  34  35   6.9   2.5   4.9   \n",
       "25          Ben McLemore  MEM   25  56  19.5   7  49   7.5   2.8   6.7   \n",
       "26           Ben Simmons  PHI   21  81  33.7  51  30  15.8   6.7  12.3   \n",
       "27       Bismack Biyombo  ORL   25  82  18.2  25  57   5.7   2.2   4.3   \n",
       "28         Blake Griffin  DET   29  58  34.0  28  30  21.4   7.5  17.2   \n",
       "29      Boban Marjanovic  LAC   29  39   8.7  18  21   6.0   2.0   3.8   \n",
       "..                   ...  ...  ...  ..   ...  ..  ..   ...   ...   ...   \n",
       "357           Trey Lyles  DEN   22  73  19.1  41  32   9.9   3.7   7.5   \n",
       "358  Trey McKinney-Jones  IND   27   1   1.2   1   0   0.0   0.0   0.0   \n",
       "359     Tristan Thompson  CLE   27  53  20.2  27  26   5.8   2.5   4.4   \n",
       "360        Troy Williams  NYK   23  21  14.6   7  14   6.3   2.4   5.2   \n",
       "361      Tyler Cavanaugh  ATL   24  39  13.3  11  28   4.7   1.7   3.9   \n",
       "362         Tyler Dorsey  ATL   22  56  17.4  15  41   7.2   2.6   6.8   \n",
       "363          Tyler Ennis  LAL   23  54  12.7  22  32   4.1   1.7   4.1   \n",
       "364        Tyler Johnson  MIA   26  72  28.5  39  33  11.7   4.3   9.9   \n",
       "365          Tyler Lydon  DEN   22   1   2.2   1   0   0.0   0.0   0.0   \n",
       "366         Tyler Zeller  MIL   28  66  16.8  27  39   6.7   2.8   5.1   \n",
       "367         Tyreke Evans  MEM   28  52  30.9  19  33  19.4   7.0  15.6   \n",
       "368           Tyus Jones  MIN   22  82  17.9  47  35   5.1   1.8   4.0   \n",
       "369        Udonis Haslem  MIA   38  14   5.1   9   5   0.6   0.2   1.1   \n",
       "370          Vander Blue  LAL   25   5   9.0   1   4   0.6   0.2   1.0   \n",
       "371       Victor Oladipo  IND   26  75  34.0  48  27  23.1   8.5  17.9   \n",
       "372         Vince Carter  SAC   41  58  17.7  20  38   5.4   2.0   4.9   \n",
       "373      Wayne Ellington  MIA   30  77  26.5  42  35  11.2   3.7   9.1   \n",
       "374         Wayne Selden  MEM   23  35  19.8  10  25   9.3   3.3   7.7   \n",
       "375       Wesley Johnson  LAC   30  74  20.1  38  36   5.4   2.0   5.0   \n",
       "376      Wesley Matthews  DAL   31  63  33.8  20  43  12.7   4.5  11.1   \n",
       "377          Will Barton  DEN   27  81  33.1  46  35  15.7   5.7  12.7   \n",
       "378  Willie Cauley-Stein  SAC   24  73  28.0  23  50  12.8   5.3  10.6   \n",
       "379      Wilson Chandler  DEN   31  74  31.7  41  33  10.0   3.8   8.5   \n",
       "380  Xavier Rathan-Mayes  MEM   24   5  23.6   0   5   5.8   2.4   8.4   \n",
       "381         Yogi Ferrell  DAL   25  82  27.8  24  58  10.2   3.8   8.9   \n",
       "382         Zach Collins  POR   20  66  15.8  41  25   4.4   1.7   4.4   \n",
       "383          Zach LaVine  CHI   23  24  27.3   9  15  16.7   5.7  14.8   \n",
       "384        Zach Randolph  SAC   36  59  25.6  18  41  14.5   6.1  12.9   \n",
       "385        Zaza Pachulia  GSW   34  69  14.1  47  22   5.4   2.2   3.8   \n",
       "386              Zhou Qi  HOU   22  18   6.9  14   4   1.2   0.3   1.8   \n",
       "\n",
       "        ...      3PA  FTM  FTA  OREB  DREB  AST  TOV  STL  BLK      SALARY  \n",
       "0       ...      1.0  0.3  0.3   0.2   0.3  0.6  0.3  0.2  0.0   2116955.0  \n",
       "1       ...      5.9  2.7  3.9   1.5   6.4  2.3  1.8  1.0  0.8   5504420.0  \n",
       "2       ...      1.4  0.5  0.8   0.3   1.2  0.5  0.7  0.3  0.2   1167333.0  \n",
       "3       ...      3.1  1.3  1.7   1.4   5.9  4.7  1.8  0.6  1.1  27734405.0  \n",
       "4       ...      0.1  0.8  1.0   0.8   3.1  0.8  0.6  0.4  0.6   9769821.0  \n",
       "5       ...      4.9  0.9  1.2   1.4   6.2  1.2  1.1  1.1  0.6   7319035.0  \n",
       "6       ...      2.2  1.7  1.9   0.3   2.7  1.0  0.9  0.6  0.1  10845506.0  \n",
       "7       ...      2.9  0.5  0.6   0.3   1.2  0.4  0.3  0.5  0.1   5725000.0  \n",
       "8       ...      0.4  0.0  0.0   0.3   0.4  0.1  0.1  0.1  0.0    778668.0  \n",
       "9       ...      0.6  0.1  0.2   0.1   0.4  0.1  0.2  0.1  0.1    815615.0  \n",
       "10      ...      0.4  0.7  1.1   1.7   2.8  1.6  0.7  0.6  0.6  11000000.0  \n",
       "11      ...      0.1  3.1  5.1   5.1  10.9  3.0  2.6  1.5  1.6  23775506.0  \n",
       "12      ...      1.8  0.9  1.4   0.8   3.1  3.3  1.0  0.8  0.6  14814815.0  \n",
       "13      ...      0.9  0.3  1.0   1.9   2.8  1.2  0.8  1.2  0.9   9259259.0  \n",
       "14      ...      0.0  0.1  0.1   1.1   2.2  0.6  0.8  0.2  0.5   2328652.0  \n",
       "15      ...      2.5  2.2  2.8   0.4   1.9  3.2  1.4  0.7  0.5   1312611.0  \n",
       "16      ...      4.1  2.5  3.8   1.0   3.4  2.0  1.7  1.1  0.6   7574322.0  \n",
       "17      ...      0.0  0.7  0.9   0.8   1.1  0.2  0.3  0.1  0.4   1645200.0  \n",
       "18      ...      2.2  6.6  8.0   2.5   8.6  2.3  2.2  1.5  2.6  23775506.0  \n",
       "19      ...      0.2  0.2  0.4   0.2   0.6  0.1  0.4  0.4  0.3     92160.0  \n",
       "20      ...      0.3  0.7  1.0   1.6   3.8  1.1  1.0  0.3  0.6   4328000.0  \n",
       "21      ...      1.3  0.4  0.5   0.1   1.2  0.6  0.4  0.1  0.2   2328652.0  \n",
       "22      ...      5.9  1.7  2.6   0.4   1.9  4.0  1.8  1.2  0.3  11825000.0  \n",
       "23      ...      4.4  1.4  1.8   0.5   2.0  2.0  2.2  1.1  0.2   8808989.0  \n",
       "24      ...      0.1  1.9  2.6   1.7   3.8  1.5  1.0  0.5  0.6   2490360.0  \n",
       "25      ...      2.8  0.9  1.1   0.6   1.9  0.9  1.1  0.7  0.3   5200000.0  \n",
       "26      ...      0.1  2.4  4.2   1.8   6.3  8.2  3.4  1.7  0.9   6168840.0  \n",
       "27      ...      0.0  1.2  1.9   1.8   4.0  0.8  1.0  0.3  1.2  17000000.0  \n",
       "28      ...      5.6  4.5  5.7   1.3   6.1  5.8  2.8  0.7  0.3  29512900.0  \n",
       "29      ...      0.0  2.0  2.5   1.2   2.5  0.6  0.9  0.3  0.3   7000000.0  \n",
       "..      ...      ...  ...  ...   ...   ...  ...  ...  ...  ...         ...  \n",
       "357     ...      3.0  1.4  2.0   0.8   4.0  1.2  0.8  0.4  0.5   2441400.0  \n",
       "358     ...      0.0  0.0  0.0   0.0   0.0  0.0  0.0  0.0  0.0     46080.0  \n",
       "359     ...      0.0  0.8  1.5   2.4   4.3  0.6  0.7  0.3  0.3  16400000.0  \n",
       "360     ...      1.8  1.0  1.4   1.0   2.0  0.8  0.9  1.0  0.2    148318.0  \n",
       "361     ...      2.3  0.4  0.5   1.2   2.1  0.7  0.3  0.2  0.1     50000.0  \n",
       "362     ...      3.6  0.8  1.1   0.3   2.0  1.4  0.7  0.3  0.1    815615.0  \n",
       "363     ...      1.0  0.4  0.5   0.4   1.4  1.9  0.7  0.6  0.2   1524305.0  \n",
       "364     ...      4.5  1.5  1.8   0.5   3.0  2.3  1.1  0.8  0.5   5881260.0  \n",
       "365     ...      0.0  0.0  0.0   0.0   0.0  0.0  0.0  0.0  0.0   1579440.0  \n",
       "366     ...      0.4  0.9  1.2   1.7   3.0  0.7  0.7  0.2  0.5   1709538.0  \n",
       "367     ...      5.5  3.2  4.0   0.8   4.3  5.2  2.3  1.1  0.3   3290000.0  \n",
       "368     ...      1.6  0.9  1.0   0.2   1.4  2.8  0.7  1.2  0.1   1471382.0  \n",
       "369     ...      0.6  0.1  0.1   0.2   0.5  0.4  0.1  0.0  0.1   2328652.0  \n",
       "370     ...      0.4  0.2  0.4   0.0   0.2  0.6  0.6  0.2  0.0     50000.0  \n",
       "371     ...      5.8  3.9  4.9   0.6   4.6  4.3  2.9  2.4  0.8  21000000.0  \n",
       "372     ...      2.8  0.5  0.6   0.3   2.2  1.2  0.6  0.7  0.4   8000000.0  \n",
       "373     ...      7.5  0.9  1.0   0.3   2.5  1.0  0.7  0.7  0.1   6270000.0  \n",
       "374     ...      3.5  1.3  1.7   0.5   1.1  1.9  1.5  0.5  0.1   1312611.0  \n",
       "375     ...      2.4  0.6  0.8   0.4   2.5  0.8  0.7  1.0  0.8   5881260.0  \n",
       "376     ...      6.4  1.3  1.6   0.4   2.7  2.7  1.3  1.2  0.3  17884176.0  \n",
       "377     ...      5.2  2.2  2.8   0.9   4.2  4.1  1.8  1.0  0.6   3533333.0  \n",
       "378     ...      0.2  2.1  3.4   1.8   5.2  2.4  1.5  1.1  0.9   3704160.0  \n",
       "379     ...      3.3  1.2  1.5   1.4   4.0  2.1  1.2  0.6  0.5  12016854.0  \n",
       "380     ...      2.8  0.8  1.8   0.0   1.0  3.6  2.2  1.2  0.6     46080.0  \n",
       "381     ...      4.4  1.0  1.3   0.3   2.7  2.5  1.0  0.8  0.1   1312611.0  \n",
       "382     ...      1.7  0.4  0.6   0.7   2.7  0.8  0.9  0.3  0.5   3057240.0  \n",
       "383     ...      5.1  3.6  4.5   0.4   3.5  3.0  1.8  1.0  0.2   3202217.0  \n",
       "384     ...      2.5  1.4  1.8   1.6   5.1  2.2  2.0  0.7  0.2  12307692.0  \n",
       "385     ...      0.0  1.1  1.3   1.3   3.4  1.6  1.0  0.6  0.2   3477600.0  \n",
       "386     ...      1.1  0.4  0.7   0.3   0.9  0.1  0.6  0.1  0.8    815615.0  \n",
       "\n",
       "[387 rows x 21 columns]>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "player_data.info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(387, 21)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "player_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PLAYER</th>\n",
       "      <th>TEAM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>GP</th>\n",
       "      <th>MIN</th>\n",
       "      <th>W</th>\n",
       "      <th>L</th>\n",
       "      <th>PTS</th>\n",
       "      <th>FGM</th>\n",
       "      <th>FGA</th>\n",
       "      <th>...</th>\n",
       "      <th>3PA</th>\n",
       "      <th>FTM</th>\n",
       "      <th>FTA</th>\n",
       "      <th>OREB</th>\n",
       "      <th>DREB</th>\n",
       "      <th>AST</th>\n",
       "      <th>TOV</th>\n",
       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
       "      <th>SALARY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aaron Brooks</td>\n",
       "      <td>MIN</td>\n",
       "      <td>33</td>\n",
       "      <td>32</td>\n",
       "      <td>5.9</td>\n",
       "      <td>19</td>\n",
       "      <td>13</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.9</td>\n",
       "      <td>2.2</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2116955.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aaron Gordon</td>\n",
       "      <td>ORL</td>\n",
       "      <td>22</td>\n",
       "      <td>58</td>\n",
       "      <td>32.9</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>17.6</td>\n",
       "      <td>6.5</td>\n",
       "      <td>14.9</td>\n",
       "      <td>...</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>5504420.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Abdel Nader</td>\n",
       "      <td>BOS</td>\n",
       "      <td>24</td>\n",
       "      <td>48</td>\n",
       "      <td>10.9</td>\n",
       "      <td>33</td>\n",
       "      <td>15</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>...</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1167333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Al Horford</td>\n",
       "      <td>BOS</td>\n",
       "      <td>32</td>\n",
       "      <td>72</td>\n",
       "      <td>31.6</td>\n",
       "      <td>47</td>\n",
       "      <td>25</td>\n",
       "      <td>12.9</td>\n",
       "      <td>5.1</td>\n",
       "      <td>10.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>5.9</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.1</td>\n",
       "      <td>27734405.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Al Jefferson</td>\n",
       "      <td>IND</td>\n",
       "      <td>33</td>\n",
       "      <td>36</td>\n",
       "      <td>13.4</td>\n",
       "      <td>17</td>\n",
       "      <td>19</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.8</td>\n",
       "      <td>...</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>3.1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>9769821.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         PLAYER TEAM  AGE  GP   MIN   W   L   PTS  FGM   FGA     ...      3PA  \\\n",
       "0  Aaron Brooks  MIN   33  32   5.9  19  13   2.3  0.9   2.2     ...      1.0   \n",
       "1  Aaron Gordon  ORL   22  58  32.9  19  39  17.6  6.5  14.9     ...      5.9   \n",
       "2   Abdel Nader  BOS   24  48  10.9  33  15   3.0  1.0   3.1     ...      1.4   \n",
       "3    Al Horford  BOS   32  72  31.6  47  25  12.9  5.1  10.5     ...      3.1   \n",
       "4  Al Jefferson  IND   33  36  13.4  17  19   7.0  3.1   5.8     ...      0.1   \n",
       "\n",
       "   FTM  FTA  OREB  DREB  AST  TOV  STL  BLK      SALARY  \n",
       "0  0.3  0.3   0.2   0.3  0.6  0.3  0.2  0.0   2116955.0  \n",
       "1  2.7  3.9   1.5   6.4  2.3  1.8  1.0  0.8   5504420.0  \n",
       "2  0.5  0.8   0.3   1.2  0.5  0.7  0.3  0.2   1167333.0  \n",
       "3  1.3  1.7   1.4   5.9  4.7  1.8  0.6  1.1  27734405.0  \n",
       "4  0.8  1.0   0.8   3.1  0.8  0.6  0.4  0.6   9769821.0  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "player_data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PLAYER</th>\n",
       "      <th>TEAM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>GP</th>\n",
       "      <th>MIN</th>\n",
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       "      <th>OREB</th>\n",
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       "      <td>Aaron Brooks</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aaron Gordon</td>\n",
       "      <td>ORL</td>\n",
       "      <td>22</td>\n",
       "      <td>58</td>\n",
       "      <td>32.9</td>\n",
       "      <td>19</td>\n",
       "      <td>39</td>\n",
       "      <td>17.6</td>\n",
       "      <td>6.5</td>\n",
       "      <td>14.9</td>\n",
       "      <td>...</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.5</td>\n",
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       "      <td>5504420.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Abdel Nader</td>\n",
       "      <td>BOS</td>\n",
       "      <td>24</td>\n",
       "      <td>48</td>\n",
       "      <td>10.9</td>\n",
       "      <td>33</td>\n",
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       "      <td>0.5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1167333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Al Horford</td>\n",
       "      <td>BOS</td>\n",
       "      <td>32</td>\n",
       "      <td>72</td>\n",
       "      <td>31.6</td>\n",
       "      <td>47</td>\n",
       "      <td>25</td>\n",
       "      <td>12.9</td>\n",
       "      <td>5.1</td>\n",
       "      <td>10.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>5.9</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.6</td>\n",
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       "      <td>27734405.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Al Jefferson</td>\n",
       "      <td>IND</td>\n",
       "      <td>33</td>\n",
       "      <td>36</td>\n",
       "      <td>13.4</td>\n",
       "      <td>17</td>\n",
       "      <td>19</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.8</td>\n",
       "      <td>...</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>3.1</td>\n",
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       "      <td>0.6</td>\n",
       "      <td>9769821.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         PLAYER TEAM  AGE  GP   MIN   W   L   PTS  FGM   FGA     ...      3PA  \\\n",
       "0  Aaron Brooks  MIN   33  32   5.9  19  13   2.3  0.9   2.2     ...      1.0   \n",
       "1  Aaron Gordon  ORL   22  58  32.9  19  39  17.6  6.5  14.9     ...      5.9   \n",
       "2   Abdel Nader  BOS   24  48  10.9  33  15   3.0  1.0   3.1     ...      1.4   \n",
       "3    Al Horford  BOS   32  72  31.6  47  25  12.9  5.1  10.5     ...      3.1   \n",
       "4  Al Jefferson  IND   33  36  13.4  17  19   7.0  3.1   5.8     ...      0.1   \n",
       "\n",
       "   FTM  FTA  OREB  DREB  AST  TOV  STL  BLK      SALARY  \n",
       "0  0.3  0.3   0.2   0.3  0.6  0.3  0.2  0.0   2116955.0  \n",
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       "2  0.5  0.8   0.3   1.2  0.5  0.7  0.3  0.2   1167333.0  \n",
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       "4  0.8  1.0   0.8   3.1  0.8  0.6  0.4  0.6   9769821.0  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "player_data_modif=player_data.copy()\n",
    "player_data_modif.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Categorical variables:\n",
      "['PLAYER', 'TEAM']\n"
     ]
    }
   ],
   "source": [
    "# Get list of categorical variables\n",
    "s = (player_data_modif.dtypes == 'object')\n",
    "object_cols = list(s[s].index)\n",
    "\n",
    "print(\"Categorical variables:\")\n",
    "print(object_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Abdel Nader</td>\n",
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       "      <td>0.8</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1167333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Al Horford</td>\n",
       "      <td>1</td>\n",
       "      <td>32</td>\n",
       "      <td>72</td>\n",
       "      <td>31.6</td>\n",
       "      <td>47</td>\n",
       "      <td>25</td>\n",
       "      <td>12.9</td>\n",
       "      <td>5.1</td>\n",
       "      <td>10.5</td>\n",
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       "      <td>1.3</td>\n",
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       "      <td>1.4</td>\n",
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       "      <td>4.7</td>\n",
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       "      <td>27734405.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Al Jefferson</td>\n",
       "      <td>9</td>\n",
       "      <td>33</td>\n",
       "      <td>36</td>\n",
       "      <td>13.4</td>\n",
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       "      <td>19</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.1</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>3.1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>9769821.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         PLAYER  TEAM  AGE  GP   MIN   W   L   PTS  FGM   FGA     ...      \\\n",
       "0  Aaron Brooks    15   33  32   5.9  19  13   2.3  0.9   2.2     ...       \n",
       "1  Aaron Gordon    19   22  58  32.9  19  39  17.6  6.5  14.9     ...       \n",
       "2   Abdel Nader     1   24  48  10.9  33  15   3.0  1.0   3.1     ...       \n",
       "3    Al Horford     1   32  72  31.6  47  25  12.9  5.1  10.5     ...       \n",
       "4  Al Jefferson     9   33  36  13.4  17  19   7.0  3.1   5.8     ...       \n",
       "\n",
       "   3PA  FTM  FTA  OREB  DREB  AST  TOV  STL  BLK      SALARY  \n",
       "0  1.0  0.3  0.3   0.2   0.3  0.6  0.3  0.2  0.0   2116955.0  \n",
       "1  5.9  2.7  3.9   1.5   6.4  2.3  1.8  1.0  0.8   5504420.0  \n",
       "2  1.4  0.5  0.8   0.3   1.2  0.5  0.7  0.3  0.2   1167333.0  \n",
       "3  3.1  1.3  1.7   1.4   5.9  4.7  1.8  0.6  1.1  27734405.0  \n",
       "4  0.1  0.8  1.0   0.8   3.1  0.8  0.6  0.4  0.6   9769821.0  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "# Apply label encoder to each column with categorical data\n",
    "label_encoder = LabelEncoder()\n",
    "player_data_modif[object_cols[1]] = label_encoder.fit_transform(player_data_modif[object_cols[1]])\n",
    "player_data_modif[object_cols[1]] = label_encoder.transform(player_data_modif[object_cols[1]])\n",
    "player_data_modif.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\HOLZER\\Anaconda3\\lib\\site-packages\\sklearn\\ensemble\\forest.py:246: FutureWarning: The default value of n_estimators will change from 10 in version 0.20 to 100 in 0.22.\n",
      "  \"10 in version 0.20 to 100 in 0.22.\", FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "y_modif = player_data_modif.SALARY\n",
    "feature_names_modif = ['TEAM','AGE', 'GP', 'MIN', 'W', 'L', 'PTS', 'FGM','FGA','3PM','3PA','FTM','FTA','OREB','DREB','AST', 'TOV', 'STL', 'BLK']\n",
    "X_modif = player_data_modif[feature_names_modif]\n",
    "train_X_modif, val_X_modif, train_y_modif, val_y_modif = train_test_split(X_modif, y_modif, random_state=1)\n",
    "my_model_modif = RandomForestClassifier(random_state=0).fit(train_X_modif, train_y_modif)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "\n",
       "    \n",
       "        <table class=\"eli5-weights eli5-feature-importances\" style=\"border-collapse: collapse; border: none; margin-top: 0em; table-layout: auto;\">\n",
       "    <thead>\n",
       "    <tr style=\"border: none;\">\n",
       "        <th style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">Weight</th>\n",
       "        <th style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">Feature</th>\n",
       "    </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 80.00%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0392\n",
       "                \n",
       "                    &plusmn; 0.0240\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                AGE\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 85.50%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0247\n",
       "                \n",
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       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                FGM\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 86.36%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0227\n",
       "                \n",
       "                    &plusmn; 0.0154\n",
       "                \n",
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       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                OREB\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 86.36%); border: none;\">\n",
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       "                0.0227\n",
       "                \n",
       "                    &plusmn; 0.0154\n",
       "                \n",
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       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                FTA\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 87.24%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0206\n",
       "                \n",
       "                    &plusmn; 0.0000\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                GP\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 88.15%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0186\n",
       "                \n",
       "                    &plusmn; 0.0240\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                FGA\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 88.15%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0186\n",
       "                \n",
       "                    &plusmn; 0.0240\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                3PM\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 89.08%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0165\n",
       "                \n",
       "                    &plusmn; 0.0165\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                MIN\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 90.06%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0144\n",
       "                \n",
       "                    &plusmn; 0.0210\n",
       "                \n",
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       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                W\n",
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       "        </tr>\n",
       "    \n",
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       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0144\n",
       "                \n",
       "                    &plusmn; 0.0101\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                BLK\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 90.06%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0144\n",
       "                \n",
       "                    &plusmn; 0.0210\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                STL\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 93.28%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0082\n",
       "                \n",
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       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                PTS\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 93.28%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0082\n",
       "                \n",
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       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                TOV\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 94.51%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0062\n",
       "                \n",
       "                    &plusmn; 0.0165\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                L\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 94.51%); border: none;\">\n",
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       "                0.0062\n",
       "                \n",
       "                    &plusmn; 0.0165\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                FTM\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 94.51%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0062\n",
       "                \n",
       "                    &plusmn; 0.0210\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                3PA\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 97.45%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0021\n",
       "                \n",
       "                    &plusmn; 0.0082\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                AST\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(120, 100.00%, 97.45%); border: none;\">\n",
       "            <td style=\"padding: 0 1em 0 0.5em; text-align: right; border: none;\">\n",
       "                0.0021\n",
       "                \n",
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       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                TEAM\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "        <tr style=\"background-color: hsl(0, 100.00%, 89.08%); border: none;\">\n",
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       "                -0.0165\n",
       "                \n",
       "                    &plusmn; 0.0210\n",
       "                \n",
       "            </td>\n",
       "            <td style=\"padding: 0 0.5em 0 0.5em; text-align: left; border: none;\">\n",
       "                DREB\n",
       "            </td>\n",
       "        </tr>\n",
       "    \n",
       "    \n",
       "    </tbody>\n",
       "</table>\n",
       "    \n",
       "\n",
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       "\n",
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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import eli5\n",
    "from eli5.sklearn import PermutationImportance\n",
    "\n",
    "perm_modif = PermutationImportance(my_model_modif, random_state=1).fit(val_X_modif, val_y_modif)\n",
    "eli5.show_weights(perm_modif, feature_names = val_X_modif.columns.tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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