NBA Stats Data Cleaning.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "647fb37a",
   "metadata": {},
   "source": [
    "### Install & Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "26869034",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pandas in c:\\users\\cedmu\\anaconda3\\lib\\site-packages (2.0.1)\n",
      "Requirement already satisfied: numpy>=1.21.0 in c:\\users\\cedmu\\anaconda3\\lib\\site-packages (from pandas) (1.24.2)\n",
      "Requirement already satisfied: tzdata>=2022.1 in c:\\users\\cedmu\\anaconda3\\lib\\site-packages (from pandas) (2023.3)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\cedmu\\anaconda3\\lib\\site-packages (from pandas) (2022.7)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\cedmu\\anaconda3\\lib\\site-packages (from pandas) (2.8.2)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\cedmu\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install pandas\n",
    "\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7451de94",
   "metadata": {},
   "source": [
    "### Read mvps CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "550146e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "mvps = pd.read_csv(\"mvps.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eaaef2b2",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Player</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tm</th>\n",
       "      <th>First</th>\n",
       "      <th>Pts Won</th>\n",
       "      <th>Pts Max</th>\n",
       "      <th>Share</th>\n",
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       "      <th>BLK</th>\n",
       "      <th>FG%</th>\n",
       "      <th>3P%</th>\n",
       "      <th>FT%</th>\n",
       "      <th>WS</th>\n",
       "      <th>WS/48</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Michael Jordan</td>\n",
       "      <td>27</td>\n",
       "      <td>CHI</td>\n",
       "      <td>77.0</td>\n",
       "      <td>891.0</td>\n",
       "      <td>960</td>\n",
       "      <td>0.928</td>\n",
       "      <td>82</td>\n",
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       "      <td>6.0</td>\n",
       "      <td>5.5</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.539</td>\n",
       "      <td>0.312</td>\n",
       "      <td>0.851</td>\n",
       "      <td>20.3</td>\n",
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       "      <td>1991</td>\n",
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       "      <td>Magic Johnson</td>\n",
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       "      <td>LAL</td>\n",
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       "      <td>960</td>\n",
       "      <td>0.518</td>\n",
       "      <td>79</td>\n",
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       "      <td>0.477</td>\n",
       "      <td>0.320</td>\n",
       "      <td>0.906</td>\n",
       "      <td>15.4</td>\n",
       "      <td>0.251</td>\n",
       "      <td>1991</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>David Robinson</td>\n",
       "      <td>25</td>\n",
       "      <td>SAS</td>\n",
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       "      <td>476.0</td>\n",
       "      <td>960</td>\n",
       "      <td>0.496</td>\n",
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       "      <td>13.0</td>\n",
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       "      <td>1.5</td>\n",
       "      <td>3.9</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.143</td>\n",
       "      <td>0.762</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.264</td>\n",
       "      <td>1991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Charles Barkley</td>\n",
       "      <td>27</td>\n",
       "      <td>PHI</td>\n",
       "      <td>2.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>960</td>\n",
       "      <td>0.231</td>\n",
       "      <td>67</td>\n",
       "      <td>...</td>\n",
       "      <td>10.1</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.570</td>\n",
       "      <td>0.284</td>\n",
       "      <td>0.722</td>\n",
       "      <td>13.4</td>\n",
       "      <td>0.258</td>\n",
       "      <td>1991</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>Karl Malone</td>\n",
       "      <td>27</td>\n",
       "      <td>UTA</td>\n",
       "      <td>0.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>960</td>\n",
       "      <td>0.148</td>\n",
       "      <td>82</td>\n",
       "      <td>...</td>\n",
       "      <td>11.8</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.527</td>\n",
       "      <td>0.286</td>\n",
       "      <td>0.770</td>\n",
       "      <td>15.5</td>\n",
       "      <td>0.225</td>\n",
       "      <td>1991</td>\n",
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       "      <td>11</td>\n",
       "      <td>Russell Westbrook</td>\n",
       "      <td>32</td>\n",
       "      <td>WAS</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1010</td>\n",
       "      <td>0.005</td>\n",
       "      <td>65</td>\n",
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       "      <td>11.5</td>\n",
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       "      <td>0.4</td>\n",
       "      <td>0.439</td>\n",
       "      <td>0.315</td>\n",
       "      <td>0.656</td>\n",
       "      <td>3.7</td>\n",
       "      <td>0.075</td>\n",
       "      <td>2021</td>\n",
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       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>Ben Simmons</td>\n",
       "      <td>24</td>\n",
       "      <td>PHI</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1010</td>\n",
       "      <td>0.003</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>7.2</td>\n",
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       "      <td>1.6</td>\n",
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       "      <td>0.557</td>\n",
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       "      <td>0.613</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.153</td>\n",
       "      <td>2021</td>\n",
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       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>12</td>\n",
       "      <td>13T</td>\n",
       "      <td>James Harden</td>\n",
       "      <td>31</td>\n",
       "      <td>TOT</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1010</td>\n",
       "      <td>0.001</td>\n",
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       "      <td>0.861</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.208</td>\n",
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       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>13</td>\n",
       "      <td>13T</td>\n",
       "      <td>LeBron James</td>\n",
       "      <td>36</td>\n",
       "      <td>LAL</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1010</td>\n",
       "      <td>0.001</td>\n",
       "      <td>45</td>\n",
       "      <td>...</td>\n",
       "      <td>7.7</td>\n",
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       "      <td>1.1</td>\n",
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       "      <td>0.513</td>\n",
       "      <td>0.365</td>\n",
       "      <td>0.698</td>\n",
       "      <td>5.6</td>\n",
       "      <td>0.179</td>\n",
       "      <td>2021</td>\n",
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       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>14</td>\n",
       "      <td>13T</td>\n",
       "      <td>Kawhi Leonard</td>\n",
       "      <td>29</td>\n",
       "      <td>LAC</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1010</td>\n",
       "      <td>0.001</td>\n",
       "      <td>52</td>\n",
       "      <td>...</td>\n",
       "      <td>6.5</td>\n",
       "      <td>5.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.512</td>\n",
       "      <td>0.398</td>\n",
       "      <td>0.885</td>\n",
       "      <td>8.8</td>\n",
       "      <td>0.238</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>474 rows × 22 columns</p>\n",
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      ],
      "text/plain": [
       "     Unnamed: 0 Rank             Player  Age   Tm  First  Pts Won  Pts Max   \n",
       "0             0    1     Michael Jordan   27  CHI   77.0    891.0      960  \\\n",
       "1             1    2      Magic Johnson   31  LAL   10.0    497.0      960   \n",
       "2             2    3     David Robinson   25  SAS    6.0    476.0      960   \n",
       "3             3    4    Charles Barkley   27  PHI    2.0    222.0      960   \n",
       "4             4    5        Karl Malone   27  UTA    0.0    142.0      960   \n",
       "..          ...  ...                ...  ...  ...    ...      ...      ...   \n",
       "469          10   11  Russell Westbrook   32  WAS    0.0      5.0     1010   \n",
       "470          11   12        Ben Simmons   24  PHI    0.0      3.0     1010   \n",
       "471          12  13T       James Harden   31  TOT    0.0      1.0     1010   \n",
       "472          13  13T       LeBron James   36  LAL    0.0      1.0     1010   \n",
       "473          14  13T      Kawhi Leonard   29  LAC    0.0      1.0     1010   \n",
       "\n",
       "     Share   G  ...   TRB   AST  STL  BLK    FG%    3P%    FT%    WS  WS/48   \n",
       "0    0.928  82  ...   6.0   5.5  2.7  1.0  0.539  0.312  0.851  20.3  0.321  \\\n",
       "1    0.518  79  ...   7.0  12.5  1.3  0.2  0.477  0.320  0.906  15.4  0.251   \n",
       "2    0.496  82  ...  13.0   2.5  1.5  3.9  0.552  0.143  0.762  17.0  0.264   \n",
       "3    0.231  67  ...  10.1   4.2  1.6  0.5  0.570  0.284  0.722  13.4  0.258   \n",
       "4    0.148  82  ...  11.8   3.3  1.1  1.0  0.527  0.286  0.770  15.5  0.225   \n",
       "..     ...  ..  ...   ...   ...  ...  ...    ...    ...    ...   ...    ...   \n",
       "469  0.005  65  ...  11.5  11.7  1.4  0.4  0.439  0.315  0.656   3.7  0.075   \n",
       "470  0.003  58  ...   7.2   6.9  1.6  0.6  0.557  0.300  0.613   6.0  0.153   \n",
       "471  0.001  44  ...   7.9  10.8  1.2  0.8  0.466  0.362  0.861   7.0  0.208   \n",
       "472  0.001  45  ...   7.7   7.8  1.1  0.6  0.513  0.365  0.698   5.6  0.179   \n",
       "473  0.001  52  ...   6.5   5.2  1.6  0.4  0.512  0.398  0.885   8.8  0.238   \n",
       "\n",
       "     Year  \n",
       "0    1991  \n",
       "1    1991  \n",
       "2    1991  \n",
       "3    1991  \n",
       "4    1991  \n",
       "..    ...  \n",
       "469  2021  \n",
       "470  2021  \n",
       "471  2021  \n",
       "472  2021  \n",
       "473  2021  \n",
       "\n",
       "[474 rows x 22 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mvps"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a555823",
   "metadata": {},
   "source": [
    "### Remove redundant data from mvps df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bff738a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "mvps = mvps[[\"Player\", \"Year\", \"Pts Won\", \"Pts Max\", \"Share\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f7aac71f",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Michael Jordan</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Magic Johnson</td>\n",
       "      <td>1991</td>\n",
       "      <td>497.0</td>\n",
       "      <td>960</td>\n",
       "      <td>0.518</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>David Robinson</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Charles Barkley</td>\n",
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       "      <td>222.0</td>\n",
       "      <td>960</td>\n",
       "      <td>0.231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Karl Malone</td>\n",
       "      <td>1991</td>\n",
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       "      <td>960</td>\n",
       "      <td>0.148</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <th>469</th>\n",
       "      <td>Russell Westbrook</td>\n",
       "      <td>2021</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1010</td>\n",
       "      <td>0.005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>Ben Simmons</td>\n",
       "      <td>2021</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1010</td>\n",
       "      <td>0.003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>James Harden</td>\n",
       "      <td>2021</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1010</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>LeBron James</td>\n",
       "      <td>2021</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1010</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>Kawhi Leonard</td>\n",
       "      <td>2021</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1010</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>474 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                Player  Year  Pts Won  Pts Max  Share\n",
       "0       Michael Jordan  1991    891.0      960  0.928\n",
       "1        Magic Johnson  1991    497.0      960  0.518\n",
       "2       David Robinson  1991    476.0      960  0.496\n",
       "3      Charles Barkley  1991    222.0      960  0.231\n",
       "4          Karl Malone  1991    142.0      960  0.148\n",
       "..                 ...   ...      ...      ...    ...\n",
       "469  Russell Westbrook  2021      5.0     1010  0.005\n",
       "470        Ben Simmons  2021      3.0     1010  0.003\n",
       "471       James Harden  2021      1.0     1010  0.001\n",
       "472       LeBron James  2021      1.0     1010  0.001\n",
       "473      Kawhi Leonard  2021      1.0     1010  0.001\n",
       "\n",
       "[474 rows x 5 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mvps"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e96158f9",
   "metadata": {},
   "source": [
    "### Read players CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b63094c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "players = pd.read_csv(\"players.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d1d7436f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Rk</th>\n",
       "      <th>Player</th>\n",
       "      <th>Pos</th>\n",
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       "      <th>Tm</th>\n",
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       "      <th>ORB</th>\n",
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       "      <th>AST</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Alaa Abdelnaby</td>\n",
       "      <td>PF</td>\n",
       "      <td>22</td>\n",
       "      <td>POR</td>\n",
       "      <td>43</td>\n",
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       "      <td>1991</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Mahmoud Abdul-Rauf</td>\n",
       "      <td>PG</td>\n",
       "      <td>21</td>\n",
       "      <td>DEN</td>\n",
       "      <td>67</td>\n",
       "      <td>19</td>\n",
       "      <td>22.5</td>\n",
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       "      <td>2.2</td>\n",
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       "      <td>1991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>Mark Acres</td>\n",
       "      <td>C</td>\n",
       "      <td>28</td>\n",
       "      <td>ORL</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>19.3</td>\n",
       "      <td>1.6</td>\n",
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       "      <td>5.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Michael Adams</td>\n",
       "      <td>PG</td>\n",
       "      <td>28</td>\n",
       "      <td>DEN</td>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>35.5</td>\n",
       "      <td>8.5</td>\n",
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       "      <td>0.9</td>\n",
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       "      <td>3.9</td>\n",
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       "      <td>2.5</td>\n",
       "      <td>26.5</td>\n",
       "      <td>1991</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>Mark Aguirre</td>\n",
       "      <td>SF</td>\n",
       "      <td>31</td>\n",
       "      <td>DET</td>\n",
       "      <td>78</td>\n",
       "      <td>13</td>\n",
       "      <td>25.7</td>\n",
       "      <td>5.4</td>\n",
       "      <td>...</td>\n",
       "      <td>1.7</td>\n",
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       "      <td>1.8</td>\n",
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       "      <td>1.6</td>\n",
       "      <td>2.7</td>\n",
       "      <td>14.2</td>\n",
       "      <td>1991</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18039</th>\n",
       "      <td>725</td>\n",
       "      <td>536</td>\n",
       "      <td>Delon Wright</td>\n",
       "      <td>PG</td>\n",
       "      <td>28</td>\n",
       "      <td>SAC</td>\n",
       "      <td>27</td>\n",
       "      <td>8</td>\n",
       "      <td>25.8</td>\n",
       "      <td>3.9</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3.9</td>\n",
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       "      <td>1.6</td>\n",
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       "      <td>10.0</td>\n",
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       "    <tr>\n",
       "      <th>18040</th>\n",
       "      <td>726</td>\n",
       "      <td>537</td>\n",
       "      <td>Thaddeus Young</td>\n",
       "      <td>PF</td>\n",
       "      <td>32</td>\n",
       "      <td>CHI</td>\n",
       "      <td>68</td>\n",
       "      <td>23</td>\n",
       "      <td>24.3</td>\n",
       "      <td>5.4</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.8</td>\n",
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       "      <td>1.1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>12.1</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18041</th>\n",
       "      <td>727</td>\n",
       "      <td>538</td>\n",
       "      <td>Trae Young</td>\n",
       "      <td>PG</td>\n",
       "      <td>22</td>\n",
       "      <td>ATL</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>33.7</td>\n",
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       "      <td>...</td>\n",
       "      <td>0.6</td>\n",
       "      <td>3.3</td>\n",
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       "      <td>0.2</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>25.3</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18042</th>\n",
       "      <td>728</td>\n",
       "      <td>539</td>\n",
       "      <td>Cody Zeller</td>\n",
       "      <td>C</td>\n",
       "      <td>28</td>\n",
       "      <td>CHO</td>\n",
       "      <td>48</td>\n",
       "      <td>21</td>\n",
       "      <td>20.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>6.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.5</td>\n",
       "      <td>9.4</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18043</th>\n",
       "      <td>729</td>\n",
       "      <td>540</td>\n",
       "      <td>Ivica Zubac</td>\n",
       "      <td>C</td>\n",
       "      <td>23</td>\n",
       "      <td>LAC</td>\n",
       "      <td>72</td>\n",
       "      <td>33</td>\n",
       "      <td>22.3</td>\n",
       "      <td>3.6</td>\n",
       "      <td>...</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.6</td>\n",
       "      <td>7.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18044 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0   Rk              Player Pos Age   Tm   G  GS    MP   FG   \n",
       "0               0    1      Alaa Abdelnaby  PF  22  POR  43   0   6.7  1.3  \\\n",
       "1               1    2  Mahmoud Abdul-Rauf  PG  21  DEN  67  19  22.5  6.2   \n",
       "2               2    3          Mark Acres   C  28  ORL  68   0  19.3  1.6   \n",
       "3               3    4       Michael Adams  PG  28  DEN  66  66  35.5  8.5   \n",
       "4               4    5        Mark Aguirre  SF  31  DET  78  13  25.7  5.4   \n",
       "...           ...  ...                 ...  ..  ..  ...  ..  ..   ...  ...   \n",
       "18039         725  536        Delon Wright  PG  28  SAC  27   8  25.8  3.9   \n",
       "18040         726  537      Thaddeus Young  PF  32  CHI  68  23  24.3  5.4   \n",
       "18041         727  538          Trae Young  PG  22  ATL  63  63  33.7  7.7   \n",
       "18042         728  539         Cody Zeller   C  28  CHO  48  21  20.9  3.8   \n",
       "18043         729  540         Ivica Zubac   C  23  LAC  72  33  22.3  3.6   \n",
       "\n",
       "       ...  ORB  DRB  TRB   AST  STL  BLK  TOV   PF   PTS  Year  \n",
       "0      ...  0.6  1.4  2.1   0.3  0.1  0.3  0.5  0.9   3.1  1991  \n",
       "1      ...  0.5  1.3  1.8   3.1  0.8  0.1  1.6  2.2  14.1  1991  \n",
       "2      ...  2.1  3.2  5.3   0.4  0.4  0.4  0.6  3.2   4.2  1991  \n",
       "3      ...  0.9  3.0  3.9  10.5  2.2  0.1  3.6  2.5  26.5  1991  \n",
       "4      ...  1.7  3.1  4.8   1.8  0.6  0.3  1.6  2.7  14.2  1991  \n",
       "...    ...  ...  ...  ...   ...  ...  ...  ...  ...   ...   ...  \n",
       "18039  ...  1.0  2.9  3.9   3.6  1.6  0.4  1.3  1.1  10.0  2021  \n",
       "18040  ...  2.5  3.8  6.2   4.3  1.1  0.6  2.0  2.2  12.1  2021  \n",
       "18041  ...  0.6  3.3  3.9   9.4  0.8  0.2  4.1  1.8  25.3  2021  \n",
       "18042  ...  2.5  4.4  6.8   1.8  0.6  0.4  1.1  2.5   9.4  2021  \n",
       "18043  ...  2.6  4.6  7.2   1.3  0.3  0.9  1.1  2.6   9.0  2021  \n",
       "\n",
       "[18044 rows x 32 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "players"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6452f19b",
   "metadata": {},
   "source": [
    "### Remove redundant data from players df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "46a80730",
   "metadata": {},
   "outputs": [],
   "source": [
    "del players[\"Unnamed: 0\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "452cacd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "del players[\"Rk\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47f7020c",
   "metadata": {},
   "source": [
    "### Remove asterisks (*) from any player names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ed65de6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "players[\"Player\"] = players[\"Player\"].str.replace(\"*\", \"\", regex=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f3f3d804",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
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       "      <th>9</th>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
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       "      <td>1.000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Greg Anderson</td>\n",
       "      <td>PF</td>\n",
       "      <td>26</td>\n",
       "      <td>DEN</td>\n",
       "      <td>41</td>\n",
       "      <td>2</td>\n",
       "      <td>16.1</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4.7</td>\n",
       "      <td>.440</td>\n",
       "      <td>...</td>\n",
       "      <td>1.6</td>\n",
       "      <td>4.1</td>\n",
       "      <td>5.8</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.2</td>\n",
       "      <td>1991</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Player Pos Age   Tm   G GS    MP   FG  FGA    FG%  ...  ORB  DRB   \n",
       "8   Greg Anderson  PF  26  TOT  68  2  13.6  1.7  4.0   .430  ...  1.4  3.3  \\\n",
       "9   Greg Anderson  PF  26  MIL  26  0   9.5  1.0  2.8   .370  ...  1.0  1.9   \n",
       "10  Greg Anderson  PF  26  NJN   1  0  18.0  4.0  4.0  1.000  ...  4.0  2.0   \n",
       "11  Greg Anderson  PF  26  DEN  41  2  16.1  2.1  4.7   .440  ...  1.6  4.1   \n",
       "\n",
       "    TRB  AST  STL  BLK  TOV   PF  PTS  Year  \n",
       "8   4.7  0.2  0.5  0.7  1.2  2.1  4.3  1991  \n",
       "9   2.9  0.1  0.3  0.3  0.8  1.1  2.7  1991  \n",
       "10  6.0  1.0  2.0  0.0  1.0  4.0  8.0  1991  \n",
       "11  5.8  0.3  0.6  0.9  1.5  2.6  5.2  1991  \n",
       "\n",
       "[4 rows x 30 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "players.groupby([\"Player\", \"Year\"]).get_group((\"Greg Anderson\", 1991))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cce76c3b",
   "metadata": {},
   "source": [
    "### Get only total points for each player"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e225e73c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def single_row(df):\n",
    "    if df.shape[0]==1:\n",
    "        return df\n",
    "    else:\n",
    "        row = df[df[\"Tm\"] == \"TOT\"]\n",
    "        row[\"Tm\"] = df.iloc[-1, :][\"Tm\"]\n",
    "        return row\n",
    "    \n",
    "players = players.groupby([\"Player\", \"Year\"]).apply(single_row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c3b3c74c",
   "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></th>\n",
       "      <th></th>\n",
       "      <th>Player</th>\n",
       "      <th>Pos</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tm</th>\n",
       "      <th>G</th>\n",
       "      <th>GS</th>\n",
       "      <th>MP</th>\n",
       "      <th>FG</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG%</th>\n",
       "      <th>...</th>\n",
       "      <th>ORB</th>\n",
       "      <th>DRB</th>\n",
       "      <th>TRB</th>\n",
       "      <th>AST</th>\n",
       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
       "      <th>TOV</th>\n",
       "      <th>PF</th>\n",
       "      <th>PTS</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Player</th>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"11\" valign=\"top\">A.C. Green</th>\n",
       "      <th>1991</th>\n",
       "      <th>164</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>27</td>\n",
       "      <td>LAL</td>\n",
       "      <td>82</td>\n",
       "      <td>21</td>\n",
       "      <td>26.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6.6</td>\n",
       "      <td>.476</td>\n",
       "      <td>...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.3</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>9.1</td>\n",
       "      <td>1991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <th>633</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>28</td>\n",
       "      <td>LAL</td>\n",
       "      <td>82</td>\n",
       "      <td>53</td>\n",
       "      <td>35.4</td>\n",
       "      <td>4.7</td>\n",
       "      <td>9.8</td>\n",
       "      <td>.476</td>\n",
       "      <td>...</td>\n",
       "      <td>3.7</td>\n",
       "      <td>5.6</td>\n",
       "      <td>9.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>13.6</td>\n",
       "      <td>1992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993</th>\n",
       "      <th>1092</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>29</td>\n",
       "      <td>LAL</td>\n",
       "      <td>82</td>\n",
       "      <td>55</td>\n",
       "      <td>34.4</td>\n",
       "      <td>4.6</td>\n",
       "      <td>8.6</td>\n",
       "      <td>.537</td>\n",
       "      <td>...</td>\n",
       "      <td>3.5</td>\n",
       "      <td>5.2</td>\n",
       "      <td>8.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>12.8</td>\n",
       "      <td>1993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <th>1579</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>30</td>\n",
       "      <td>PHO</td>\n",
       "      <td>82</td>\n",
       "      <td>55</td>\n",
       "      <td>34.5</td>\n",
       "      <td>5.7</td>\n",
       "      <td>11.3</td>\n",
       "      <td>.502</td>\n",
       "      <td>...</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.8</td>\n",
       "      <td>9.2</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.7</td>\n",
       "      <td>14.7</td>\n",
       "      <td>1994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <th>2067</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>SF</td>\n",
       "      <td>31</td>\n",
       "      <td>PHO</td>\n",
       "      <td>82</td>\n",
       "      <td>52</td>\n",
       "      <td>32.8</td>\n",
       "      <td>3.8</td>\n",
       "      <td>7.5</td>\n",
       "      <td>.504</td>\n",
       "      <td>...</td>\n",
       "      <td>2.4</td>\n",
       "      <td>5.8</td>\n",
       "      <td>8.2</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>11.2</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <th>2563</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>SF</td>\n",
       "      <td>32</td>\n",
       "      <td>PHO</td>\n",
       "      <td>82</td>\n",
       "      <td>36</td>\n",
       "      <td>25.8</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.4</td>\n",
       "      <td>.484</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.7</td>\n",
       "      <td>6.8</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.7</td>\n",
       "      <td>7.5</td>\n",
       "      <td>1996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <th>3138</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>33</td>\n",
       "      <td>DAL</td>\n",
       "      <td>83</td>\n",
       "      <td>73</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.8</td>\n",
       "      <td>.483</td>\n",
       "      <td>...</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.2</td>\n",
       "      <td>7.9</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>7.2</td>\n",
       "      <td>1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <th>3725</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>34</td>\n",
       "      <td>DAL</td>\n",
       "      <td>82</td>\n",
       "      <td>68</td>\n",
       "      <td>32.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.5</td>\n",
       "      <td>.453</td>\n",
       "      <td>...</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.5</td>\n",
       "      <td>8.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.9</td>\n",
       "      <td>7.3</td>\n",
       "      <td>1998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <th>4283</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>35</td>\n",
       "      <td>DAL</td>\n",
       "      <td>50</td>\n",
       "      <td>35</td>\n",
       "      <td>18.5</td>\n",
       "      <td>2.2</td>\n",
       "      <td>5.1</td>\n",
       "      <td>.422</td>\n",
       "      <td>...</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.6</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <th>4811</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>36</td>\n",
       "      <td>LAL</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>23.5</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4.7</td>\n",
       "      <td>.447</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <th>5330</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>37</td>\n",
       "      <td>MIA</td>\n",
       "      <td>82</td>\n",
       "      <td>1</td>\n",
       "      <td>17.2</td>\n",
       "      <td>1.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>.444</td>\n",
       "      <td>...</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.8</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>2001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A.J. Bramlett</th>\n",
       "      <th>2000</th>\n",
       "      <th>4684</th>\n",
       "      <td>A.J. Bramlett</td>\n",
       "      <td>C</td>\n",
       "      <td>23</td>\n",
       "      <td>CLE</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2.6</td>\n",
       "      <td>.190</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">A.J. English</th>\n",
       "      <th>1991</th>\n",
       "      <th>127</th>\n",
       "      <td>A.J. English</td>\n",
       "      <td>SG</td>\n",
       "      <td>23</td>\n",
       "      <td>WSB</td>\n",
       "      <td>70</td>\n",
       "      <td>12</td>\n",
       "      <td>20.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>8.2</td>\n",
       "      <td>.439</td>\n",
       "      <td>...</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1.8</td>\n",
       "      <td>8.8</td>\n",
       "      <td>1991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <th>597</th>\n",
       "      <td>A.J. English</td>\n",
       "      <td>SG</td>\n",
       "      <td>24</td>\n",
       "      <td>WSB</td>\n",
       "      <td>81</td>\n",
       "      <td>6</td>\n",
       "      <td>20.6</td>\n",
       "      <td>4.5</td>\n",
       "      <td>10.4</td>\n",
       "      <td>.433</td>\n",
       "      <td>...</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.9</td>\n",
       "      <td>1992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">A.J. Guyton</th>\n",
       "      <th>2001</th>\n",
       "      <th>5333</th>\n",
       "      <td>A.J. Guyton</td>\n",
       "      <td>PG</td>\n",
       "      <td>22</td>\n",
       "      <td>CHI</td>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "      <td>19.1</td>\n",
       "      <td>2.4</td>\n",
       "      <td>5.8</td>\n",
       "      <td>.406</td>\n",
       "      <td>...</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <th>5886</th>\n",
       "      <td>A.J. Guyton</td>\n",
       "      <td>PG</td>\n",
       "      <td>23</td>\n",
       "      <td>CHI</td>\n",
       "      <td>45</td>\n",
       "      <td>6</td>\n",
       "      <td>13.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.4</td>\n",
       "      <td>.361</td>\n",
       "      <td>...</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.5</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <th>6393</th>\n",
       "      <td>A.J. Guyton</td>\n",
       "      <td>PG</td>\n",
       "      <td>24</td>\n",
       "      <td>GSW</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A.J. Hammons</th>\n",
       "      <th>2017</th>\n",
       "      <th>14814</th>\n",
       "      <td>A.J. Hammons</td>\n",
       "      <td>C</td>\n",
       "      <td>24</td>\n",
       "      <td>DAL</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.9</td>\n",
       "      <td>.405</td>\n",
       "      <td>...</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">A.J. Price</th>\n",
       "      <th>2010</th>\n",
       "      <th>10727</th>\n",
       "      <td>A.J. Price</td>\n",
       "      <td>PG</td>\n",
       "      <td>23</td>\n",
       "      <td>IND</td>\n",
       "      <td>56</td>\n",
       "      <td>2</td>\n",
       "      <td>15.4</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.3</td>\n",
       "      <td>.410</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.9</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <th>11356</th>\n",
       "      <td>A.J. Price</td>\n",
       "      <td>PG</td>\n",
       "      <td>24</td>\n",
       "      <td>IND</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>15.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>6.4</td>\n",
       "      <td>.356</td>\n",
       "      <td>...</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.2</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Player Pos Age   Tm   G  GS    MP   FG   FGA   \n",
       "Player        Year                                                              \n",
       "A.C. Green    1991 164       A.C. Green  PF  27  LAL  82  21  26.4  3.1   6.6  \\\n",
       "              1992 633       A.C. Green  PF  28  LAL  82  53  35.4  4.7   9.8   \n",
       "              1993 1092      A.C. Green  PF  29  LAL  82  55  34.4  4.6   8.6   \n",
       "              1994 1579      A.C. Green  PF  30  PHO  82  55  34.5  5.7  11.3   \n",
       "              1995 2067      A.C. Green  SF  31  PHO  82  52  32.8  3.8   7.5   \n",
       "              1996 2563      A.C. Green  SF  32  PHO  82  36  25.8  2.6   5.4   \n",
       "              1997 3138      A.C. Green  PF  33  DAL  83  73  30.0  2.8   5.8   \n",
       "              1998 3725      A.C. Green  PF  34  DAL  82  68  32.3  3.0   6.5   \n",
       "              1999 4283      A.C. Green  PF  35  DAL  50  35  18.5  2.2   5.1   \n",
       "              2000 4811      A.C. Green  PF  36  LAL  82  82  23.5  2.1   4.7   \n",
       "              2001 5330      A.C. Green  PF  37  MIA  82   1  17.2  1.8   4.0   \n",
       "A.J. Bramlett 2000 4684   A.J. Bramlett   C  23  CLE   8   0   7.6  0.5   2.6   \n",
       "A.J. English  1991 127     A.J. English  SG  23  WSB  70  12  20.6  3.6   8.2   \n",
       "              1992 597     A.J. English  SG  24  WSB  81   6  20.6  4.5  10.4   \n",
       "A.J. Guyton   2001 5333     A.J. Guyton  PG  22  CHI  33   8  19.1  2.4   5.8   \n",
       "              2002 5886     A.J. Guyton  PG  23  CHI  45   6  13.5  2.0   5.4   \n",
       "              2003 6393     A.J. Guyton  PG  24  GSW   2   0   4.5  0.0   2.0   \n",
       "A.J. Hammons  2017 14814   A.J. Hammons   C  24  DAL  22   0   7.4  0.8   1.9   \n",
       "A.J. Price    2010 10727     A.J. Price  PG  23  IND  56   2  15.4  2.6   6.3   \n",
       "              2011 11356     A.J. Price  PG  24  IND  50   0  15.9  2.3   6.4   \n",
       "\n",
       "                           FG%  ...  ORB  DRB  TRB  AST  STL  BLK  TOV   PF   \n",
       "Player        Year              ...                                           \n",
       "A.C. Green    1991 164    .476  ...  2.5  3.8  6.3  0.9  0.7  0.3  1.2  1.4  \\\n",
       "              1992 633    .476  ...  3.7  5.6  9.3  1.4  1.1  0.4  1.4  1.7   \n",
       "              1993 1092   .537  ...  3.5  5.2  8.7  1.4  1.1  0.5  1.4  1.8   \n",
       "              1994 1579   .502  ...  3.4  5.8  9.2  1.7  0.9  0.5  1.2  1.7   \n",
       "              1995 2067   .504  ...  2.4  5.8  8.2  1.5  0.7  0.4  1.4  1.8   \n",
       "              1996 2563   .484  ...  2.0  4.7  6.8  0.9  0.5  0.3  1.0  1.7   \n",
       "              1997 3138   .483  ...  2.7  5.2  7.9  0.8  0.8  0.2  0.9  1.7   \n",
       "              1998 3725   .453  ...  2.7  5.5  8.1  1.5  1.0  0.3  0.8  1.9   \n",
       "              1999 4283   .422  ...  1.6  2.9  4.6  0.5  0.6  0.2  0.4  1.4   \n",
       "              2000 4811   .447  ...  2.0  4.0  5.9  1.0  0.6  0.2  0.6  1.5   \n",
       "              2001 5330   .444  ...  1.3  2.5  3.8  0.5  0.4  0.1  0.5  1.5   \n",
       "A.J. Bramlett 2000 4684   .190  ...  1.5  1.3  2.8  0.0  0.1  0.0  0.4  1.6   \n",
       "A.J. English  1991 127    .439  ...  0.9  1.2  2.1  2.5  0.4  0.2  1.6  1.8   \n",
       "              1992 597    .433  ...  0.9  1.2  2.1  1.8  0.4  0.1  1.1  2.0   \n",
       "A.J. Guyton   2001 5333   .406  ...  0.3  0.8  1.1  1.9  0.3  0.2  0.7  1.1   \n",
       "              2002 5886   .361  ...  0.3  0.7  1.0  1.8  0.2  0.2  0.8  0.5   \n",
       "              2003 6393   .000  ...  0.0  0.0  0.0  1.0  0.5  0.0  0.5  0.0   \n",
       "A.J. Hammons  2017 14814  .405  ...  0.4  1.3  1.6  0.2  0.0  0.6  0.5  1.0   \n",
       "A.J. Price    2010 10727  .410  ...  0.2  1.4  1.6  1.9  0.6  0.1  1.1  0.9   \n",
       "              2011 11356  .356  ...  0.3  1.1  1.4  2.2  0.6  0.0  1.1  1.2   \n",
       "\n",
       "                           PTS  Year  \n",
       "Player        Year                    \n",
       "A.C. Green    1991 164     9.1  1991  \n",
       "              1992 633    13.6  1992  \n",
       "              1993 1092   12.8  1993  \n",
       "              1994 1579   14.7  1994  \n",
       "              1995 2067   11.2  1995  \n",
       "              1996 2563    7.5  1996  \n",
       "              1997 3138    7.2  1997  \n",
       "              1998 3725    7.3  1998  \n",
       "              1999 4283    4.9  1999  \n",
       "              2000 4811    5.0  2000  \n",
       "              2001 5330    4.5  2001  \n",
       "A.J. Bramlett 2000 4684    1.0  2000  \n",
       "A.J. English  1991 127     8.8  1991  \n",
       "              1992 597    10.9  1992  \n",
       "A.J. Guyton   2001 5333    6.0  2001  \n",
       "              2002 5886    5.4  2002  \n",
       "              2003 6393    0.0  2003  \n",
       "A.J. Hammons  2017 14814   2.2  2017  \n",
       "A.J. Price    2010 10727   7.3  2010  \n",
       "              2011 11356   6.5  2011  \n",
       "\n",
       "[20 rows x 30 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "players.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29266538",
   "metadata": {},
   "source": [
    "### Flatten indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "816fa205",
   "metadata": {},
   "outputs": [],
   "source": [
    "players.index = players.index.droplevel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e91bb4e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "players.index = players.index.droplevel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "93f509b6",
   "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>Pos</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tm</th>\n",
       "      <th>G</th>\n",
       "      <th>GS</th>\n",
       "      <th>MP</th>\n",
       "      <th>FG</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG%</th>\n",
       "      <th>...</th>\n",
       "      <th>ORB</th>\n",
       "      <th>DRB</th>\n",
       "      <th>TRB</th>\n",
       "      <th>AST</th>\n",
       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
       "      <th>TOV</th>\n",
       "      <th>PF</th>\n",
       "      <th>PTS</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Greg Anderson</td>\n",
       "      <td>PF</td>\n",
       "      <td>26</td>\n",
       "      <td>DEN</td>\n",
       "      <td>68</td>\n",
       "      <td>2</td>\n",
       "      <td>13.6</td>\n",
       "      <td>1.7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>.430</td>\n",
       "      <td>...</td>\n",
       "      <td>1.4</td>\n",
       "      <td>3.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2.1</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>Greg Anderson</td>\n",
       "      <td>PF</td>\n",
       "      <td>27</td>\n",
       "      <td>DEN</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>34.1</td>\n",
       "      <td>4.7</td>\n",
       "      <td>10.4</td>\n",
       "      <td>.456</td>\n",
       "      <td>...</td>\n",
       "      <td>4.1</td>\n",
       "      <td>7.4</td>\n",
       "      <td>11.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.2</td>\n",
       "      <td>11.5</td>\n",
       "      <td>1992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1412</th>\n",
       "      <td>Greg Anderson</td>\n",
       "      <td>PF</td>\n",
       "      <td>29</td>\n",
       "      <td>DET</td>\n",
       "      <td>77</td>\n",
       "      <td>47</td>\n",
       "      <td>21.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.8</td>\n",
       "      <td>.543</td>\n",
       "      <td>...</td>\n",
       "      <td>2.4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.4</td>\n",
       "      <td>1994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1911</th>\n",
       "      <td>Greg Anderson</td>\n",
       "      <td>PF</td>\n",
       "      <td>30</td>\n",
       "      <td>ATL</td>\n",
       "      <td>51</td>\n",
       "      <td>0</td>\n",
       "      <td>12.2</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>.548</td>\n",
       "      <td>...</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2381</th>\n",
       "      <td>Greg Anderson</td>\n",
       "      <td>PF</td>\n",
       "      <td>31</td>\n",
       "      <td>SAS</td>\n",
       "      <td>46</td>\n",
       "      <td>7</td>\n",
       "      <td>7.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>.511</td>\n",
       "      <td>...</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2948</th>\n",
       "      <td>Greg Anderson</td>\n",
       "      <td>C</td>\n",
       "      <td>32</td>\n",
       "      <td>SAS</td>\n",
       "      <td>82</td>\n",
       "      <td>48</td>\n",
       "      <td>20.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>.496</td>\n",
       "      <td>...</td>\n",
       "      <td>1.9</td>\n",
       "      <td>3.5</td>\n",
       "      <td>5.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.9</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3541</th>\n",
       "      <td>Greg Anderson</td>\n",
       "      <td>C</td>\n",
       "      <td>33</td>\n",
       "      <td>ATL</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.6</td>\n",
       "      <td>.444</td>\n",
       "      <td>...</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1998</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Player Pos Age   Tm   G  GS    MP   FG   FGA   FG%  ...  ORB   \n",
       "8     Greg Anderson  PF  26  DEN  68   2  13.6  1.7   4.0  .430  ...  1.4  \\\n",
       "467   Greg Anderson  PF  27  DEN  82  82  34.1  4.7  10.4  .456  ...  4.1   \n",
       "1412  Greg Anderson  PF  29  DET  77  47  21.1  2.6   4.8  .543  ...  2.4   \n",
       "1911  Greg Anderson  PF  30  ATL  51   0  12.2  1.1   2.0  .548  ...  1.2   \n",
       "2381  Greg Anderson  PF  31  SAS  46   7   7.5  0.5   1.0  .511  ...  0.6   \n",
       "2948  Greg Anderson   C  32  SAS  82  48  20.2  1.6   3.2  .496  ...  1.9   \n",
       "3541  Greg Anderson   C  33  ATL  50   0   8.0  0.7   1.6  .444  ...  0.8   \n",
       "\n",
       "      DRB   TRB  AST  STL  BLK  TOV   PF   PTS  Year  \n",
       "8     3.3   4.7  0.2  0.5  0.7  1.2  2.1   4.3  1991  \n",
       "467   7.4  11.5  1.0  1.1  0.8  2.5  3.2  11.5  1992  \n",
       "1412  5.0   7.4  0.7  0.7  0.9  1.2  3.0   6.4  1994  \n",
       "1911  2.5   3.7  0.3  0.5  0.6  0.6  2.0   2.9  1995  \n",
       "2381  1.5   2.2  0.2  0.2  0.5  0.5  1.4   1.2  1996  \n",
       "2948  3.5   5.5  0.4  0.8  0.8  0.9  2.7   3.9  1997  \n",
       "3541  1.6   2.4  0.3  0.4  0.2  0.3  1.7   1.8  1998  \n",
       "\n",
       "[7 rows x 30 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "players[players[\"Player\"] == \"Greg Anderson\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92857e7c",
   "metadata": {},
   "source": [
    "### Merge mvps and players dfs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "79a97939",
   "metadata": {},
   "outputs": [],
   "source": [
    "combined = players.merge(mvps, how=\"outer\", on=[\"Player\", \"Year\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3defd535",
   "metadata": {},
   "outputs": [
    {
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       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
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       "      <th>PF</th>\n",
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       "      <th>0</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>27</td>\n",
       "      <td>LAL</td>\n",
       "      <td>82</td>\n",
       "      <td>21</td>\n",
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       "      <td>A.C. Green</td>\n",
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       "      <td>82</td>\n",
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       "      <th>2</th>\n",
       "      <td>A.C. Green</td>\n",
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       "      <td>82</td>\n",
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       "      <td>1.4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>12.8</td>\n",
       "      <td>1993</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A.C. Green</td>\n",
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       "      <td>30</td>\n",
       "      <td>PHO</td>\n",
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       "      <td>55</td>\n",
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       "      <td>82</td>\n",
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       "      <td>11.2</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Player Pos Age   Tm   G  GS    MP   FG   FGA   FG%  ...  AST  STL  BLK   \n",
       "0  A.C. Green  PF  27  LAL  82  21  26.4  3.1   6.6  .476  ...  0.9  0.7  0.3  \\\n",
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       "3  A.C. Green  PF  30  PHO  82  55  34.5  5.7  11.3  .502  ...  1.7  0.9  0.5   \n",
       "4  A.C. Green  SF  31  PHO  82  52  32.8  3.8   7.5  .504  ...  1.5  0.7  0.4   \n",
       "\n",
       "   TOV   PF   PTS  Year Pts Won Pts Max Share  \n",
       "0  1.2  1.4   9.1  1991     NaN     NaN   NaN  \n",
       "1  1.4  1.7  13.6  1992     NaN     NaN   NaN  \n",
       "2  1.4  1.8  12.8  1993     NaN     NaN   NaN  \n",
       "3  1.2  1.7  14.7  1994     NaN     NaN   NaN  \n",
       "4  1.4  1.8  11.2  1995     NaN     NaN   NaN  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f2696d6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>Al Jefferson</td>\n",
       "      <td>C</td>\n",
       "      <td>29</td>\n",
       "      <td>CHA</td>\n",
       "      <td>73</td>\n",
       "      <td>73</td>\n",
       "      <td>35.0</td>\n",
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       "      <td>21.8</td>\n",
       "      <td>2014</td>\n",
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       "      <td>1250.0</td>\n",
       "      <td>0.027</td>\n",
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       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>Allen Iverson</td>\n",
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       "      <td>21</td>\n",
       "      <td>PHI</td>\n",
       "      <td>76</td>\n",
       "      <td>74</td>\n",
       "      <td>40.1</td>\n",
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       "      <td>1997</td>\n",
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       "      <td>0.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>26.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>319.0</td>\n",
       "      <td>1180.0</td>\n",
       "      <td>0.270</td>\n",
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       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>Allen Iverson</td>\n",
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       "      <td>PHI</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
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       "      <td>10.4</td>\n",
       "      <td>24.8</td>\n",
       "      <td>.421</td>\n",
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       "      <td>2.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>28.4</td>\n",
       "      <td>2000</td>\n",
       "      <td>132.0</td>\n",
       "      <td>1210.0</td>\n",
       "      <td>0.109</td>\n",
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       "      <th>333</th>\n",
       "      <td>Allen Iverson</td>\n",
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       "      <td>25</td>\n",
       "      <td>PHI</td>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
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       "      <td>0.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>2.1</td>\n",
       "      <td>31.1</td>\n",
       "      <td>2001</td>\n",
       "      <td>1121.0</td>\n",
       "      <td>1240.0</td>\n",
       "      <td>0.904</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>13587</th>\n",
       "      <td>Vince Carter</td>\n",
       "      <td>SF</td>\n",
       "      <td>23</td>\n",
       "      <td>TOR</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>38.1</td>\n",
       "      <td>9.6</td>\n",
       "      <td>20.7</td>\n",
       "      <td>.465</td>\n",
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       "      <td>2.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>25.7</td>\n",
       "      <td>2000</td>\n",
       "      <td>51.0</td>\n",
       "      <td>1210.0</td>\n",
       "      <td>0.042</td>\n",
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       "    <tr>\n",
       "      <th>13588</th>\n",
       "      <td>Vince Carter</td>\n",
       "      <td>SF</td>\n",
       "      <td>24</td>\n",
       "      <td>TOR</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>39.7</td>\n",
       "      <td>10.2</td>\n",
       "      <td>22.1</td>\n",
       "      <td>.460</td>\n",
       "      <td>...</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2.7</td>\n",
       "      <td>27.6</td>\n",
       "      <td>2001</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1240.0</td>\n",
       "      <td>0.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13592</th>\n",
       "      <td>Vince Carter</td>\n",
       "      <td>SF-SG</td>\n",
       "      <td>28</td>\n",
       "      <td>NJN</td>\n",
       "      <td>77</td>\n",
       "      <td>76</td>\n",
       "      <td>36.7</td>\n",
       "      <td>9.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>.452</td>\n",
       "      <td>...</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>24.5</td>\n",
       "      <td>2005</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1270.0</td>\n",
       "      <td>0.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13952</th>\n",
       "      <td>Yao Ming</td>\n",
       "      <td>C</td>\n",
       "      <td>23</td>\n",
       "      <td>HOU</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>32.8</td>\n",
       "      <td>6.5</td>\n",
       "      <td>12.5</td>\n",
       "      <td>.522</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.3</td>\n",
       "      <td>17.5</td>\n",
       "      <td>2004</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1230.0</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13957</th>\n",
       "      <td>Yao Ming</td>\n",
       "      <td>C</td>\n",
       "      <td>28</td>\n",
       "      <td>HOU</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>33.6</td>\n",
       "      <td>7.4</td>\n",
       "      <td>13.4</td>\n",
       "      <td>.548</td>\n",
       "      <td>...</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>19.7</td>\n",
       "      <td>2009</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1210.0</td>\n",
       "      <td>0.001</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>474 rows × 33 columns</p>\n",
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      ],
      "text/plain": [
       "              Player    Pos Age   Tm   G  GS    MP    FG   FGA   FG%  ...   \n",
       "187     Al Jefferson      C  29  CHA  73  73  35.0   9.6  18.8  .509  ...  \\\n",
       "329    Allen Iverson     PG  21  PHI  76  74  40.1   8.2  19.8  .416  ...   \n",
       "331    Allen Iverson     SG  23  PHI  48  48  41.5   9.1  22.0  .412  ...   \n",
       "332    Allen Iverson     SG  24  PHI  70  70  40.8  10.4  24.8  .421  ...   \n",
       "333    Allen Iverson     SG  25  PHI  71  71  42.0  10.7  25.5  .420  ...   \n",
       "...              ...    ...  ..  ...  ..  ..   ...   ...   ...   ...  ...   \n",
       "13587   Vince Carter     SF  23  TOR  82  82  38.1   9.6  20.7  .465  ...   \n",
       "13588   Vince Carter     SF  24  TOR  75  75  39.7  10.2  22.1  .460  ...   \n",
       "13592   Vince Carter  SF-SG  28  NJN  77  76  36.7   9.0  20.0  .452  ...   \n",
       "13952       Yao Ming      C  23  HOU  82  82  32.8   6.5  12.5  .522  ...   \n",
       "13957       Yao Ming      C  28  HOU  77  77  33.6   7.4  13.4  .548  ...   \n",
       "\n",
       "       AST  STL  BLK  TOV   PF   PTS  Year Pts Won Pts Max  Share  \n",
       "187    2.1  0.9  1.1  1.7  2.4  21.8  2014    34.0  1250.0  0.027  \n",
       "329    7.5  2.1  0.3  4.4  3.1  23.5  1997     1.0  1150.0  0.001  \n",
       "331    4.6  2.3  0.1  3.5  2.0  26.8  1999   319.0  1180.0  0.270  \n",
       "332    4.7  2.1  0.1  3.3  2.3  28.4  2000   132.0  1210.0  0.109  \n",
       "333    4.6  2.5  0.3  3.3  2.1  31.1  2001  1121.0  1240.0  0.904  \n",
       "...    ...  ...  ...  ...  ...   ...   ...     ...     ...    ...  \n",
       "13587  3.9  1.3  1.1  2.2  3.2  25.7  2000    51.0  1210.0  0.042  \n",
       "13588  3.9  1.5  1.1  2.2  2.7  27.6  2001     7.0  1240.0  0.006  \n",
       "13592  4.2  1.4  0.6  2.2  3.2  24.5  2005     3.0  1270.0  0.002  \n",
       "13952  1.5  0.3  1.9  2.5  3.3  17.5  2004     1.0  1230.0  0.001  \n",
       "13957  1.8  0.4  1.9  3.0  3.3  19.7  2009     1.0  1210.0  0.001  \n",
       "\n",
       "[474 rows x 33 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined[combined[\"Pts Won\"] > 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4d3d40f",
   "metadata": {},
   "source": [
    "### Replace missing values with 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "55be9291",
   "metadata": {},
   "outputs": [],
   "source": [
    "combined[[\"Pts Won\", \"Pts Max\", \"Share\"]] = combined[[\"Pts Won\", \"Pts Max\", \"Share\"]].fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0c7abd9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>Pos</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tm</th>\n",
       "      <th>G</th>\n",
       "      <th>GS</th>\n",
       "      <th>MP</th>\n",
       "      <th>FG</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG%</th>\n",
       "      <th>...</th>\n",
       "      <th>AST</th>\n",
       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
       "      <th>TOV</th>\n",
       "      <th>PF</th>\n",
       "      <th>PTS</th>\n",
       "      <th>Year</th>\n",
       "      <th>Pts Won</th>\n",
       "      <th>Pts Max</th>\n",
       "      <th>Share</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>Al Jefferson</td>\n",
       "      <td>C</td>\n",
       "      <td>29</td>\n",
       "      <td>CHA</td>\n",
       "      <td>73</td>\n",
       "      <td>73</td>\n",
       "      <td>35.0</td>\n",
       "      <td>9.6</td>\n",
       "      <td>18.8</td>\n",
       "      <td>.509</td>\n",
       "      <td>...</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.7</td>\n",
       "      <td>2.4</td>\n",
       "      <td>21.8</td>\n",
       "      <td>2014</td>\n",
       "      <td>34.0</td>\n",
       "      <td>1250.0</td>\n",
       "      <td>0.027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>Allen Iverson</td>\n",
       "      <td>PG</td>\n",
       "      <td>21</td>\n",
       "      <td>PHI</td>\n",
       "      <td>76</td>\n",
       "      <td>74</td>\n",
       "      <td>40.1</td>\n",
       "      <td>8.2</td>\n",
       "      <td>19.8</td>\n",
       "      <td>.416</td>\n",
       "      <td>...</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>23.5</td>\n",
       "      <td>1997</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1150.0</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>Allen Iverson</td>\n",
       "      <td>SG</td>\n",
       "      <td>23</td>\n",
       "      <td>PHI</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>41.5</td>\n",
       "      <td>9.1</td>\n",
       "      <td>22.0</td>\n",
       "      <td>.412</td>\n",
       "      <td>...</td>\n",
       "      <td>4.6</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>26.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>319.0</td>\n",
       "      <td>1180.0</td>\n",
       "      <td>0.270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>Allen Iverson</td>\n",
       "      <td>SG</td>\n",
       "      <td>24</td>\n",
       "      <td>PHI</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>40.8</td>\n",
       "      <td>10.4</td>\n",
       "      <td>24.8</td>\n",
       "      <td>.421</td>\n",
       "      <td>...</td>\n",
       "      <td>4.7</td>\n",
       "      <td>2.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>28.4</td>\n",
       "      <td>2000</td>\n",
       "      <td>132.0</td>\n",
       "      <td>1210.0</td>\n",
       "      <td>0.109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>Allen Iverson</td>\n",
       "      <td>SG</td>\n",
       "      <td>25</td>\n",
       "      <td>PHI</td>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "      <td>42.0</td>\n",
       "      <td>10.7</td>\n",
       "      <td>25.5</td>\n",
       "      <td>.420</td>\n",
       "      <td>...</td>\n",
       "      <td>4.6</td>\n",
       "      <td>2.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>2.1</td>\n",
       "      <td>31.1</td>\n",
       "      <td>2001</td>\n",
       "      <td>1121.0</td>\n",
       "      <td>1240.0</td>\n",
       "      <td>0.904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13587</th>\n",
       "      <td>Vince Carter</td>\n",
       "      <td>SF</td>\n",
       "      <td>23</td>\n",
       "      <td>TOR</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>38.1</td>\n",
       "      <td>9.6</td>\n",
       "      <td>20.7</td>\n",
       "      <td>.465</td>\n",
       "      <td>...</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>25.7</td>\n",
       "      <td>2000</td>\n",
       "      <td>51.0</td>\n",
       "      <td>1210.0</td>\n",
       "      <td>0.042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13588</th>\n",
       "      <td>Vince Carter</td>\n",
       "      <td>SF</td>\n",
       "      <td>24</td>\n",
       "      <td>TOR</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>39.7</td>\n",
       "      <td>10.2</td>\n",
       "      <td>22.1</td>\n",
       "      <td>.460</td>\n",
       "      <td>...</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2.7</td>\n",
       "      <td>27.6</td>\n",
       "      <td>2001</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1240.0</td>\n",
       "      <td>0.006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13592</th>\n",
       "      <td>Vince Carter</td>\n",
       "      <td>SF-SG</td>\n",
       "      <td>28</td>\n",
       "      <td>NJN</td>\n",
       "      <td>77</td>\n",
       "      <td>76</td>\n",
       "      <td>36.7</td>\n",
       "      <td>9.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>.452</td>\n",
       "      <td>...</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>24.5</td>\n",
       "      <td>2005</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1270.0</td>\n",
       "      <td>0.002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13952</th>\n",
       "      <td>Yao Ming</td>\n",
       "      <td>C</td>\n",
       "      <td>23</td>\n",
       "      <td>HOU</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>32.8</td>\n",
       "      <td>6.5</td>\n",
       "      <td>12.5</td>\n",
       "      <td>.522</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.3</td>\n",
       "      <td>17.5</td>\n",
       "      <td>2004</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1230.0</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13957</th>\n",
       "      <td>Yao Ming</td>\n",
       "      <td>C</td>\n",
       "      <td>28</td>\n",
       "      <td>HOU</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>33.6</td>\n",
       "      <td>7.4</td>\n",
       "      <td>13.4</td>\n",
       "      <td>.548</td>\n",
       "      <td>...</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>19.7</td>\n",
       "      <td>2009</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1210.0</td>\n",
       "      <td>0.001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>474 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Player    Pos Age   Tm   G  GS    MP    FG   FGA   FG%  ...   \n",
       "187     Al Jefferson      C  29  CHA  73  73  35.0   9.6  18.8  .509  ...  \\\n",
       "329    Allen Iverson     PG  21  PHI  76  74  40.1   8.2  19.8  .416  ...   \n",
       "331    Allen Iverson     SG  23  PHI  48  48  41.5   9.1  22.0  .412  ...   \n",
       "332    Allen Iverson     SG  24  PHI  70  70  40.8  10.4  24.8  .421  ...   \n",
       "333    Allen Iverson     SG  25  PHI  71  71  42.0  10.7  25.5  .420  ...   \n",
       "...              ...    ...  ..  ...  ..  ..   ...   ...   ...   ...  ...   \n",
       "13587   Vince Carter     SF  23  TOR  82  82  38.1   9.6  20.7  .465  ...   \n",
       "13588   Vince Carter     SF  24  TOR  75  75  39.7  10.2  22.1  .460  ...   \n",
       "13592   Vince Carter  SF-SG  28  NJN  77  76  36.7   9.0  20.0  .452  ...   \n",
       "13952       Yao Ming      C  23  HOU  82  82  32.8   6.5  12.5  .522  ...   \n",
       "13957       Yao Ming      C  28  HOU  77  77  33.6   7.4  13.4  .548  ...   \n",
       "\n",
       "       AST  STL  BLK  TOV   PF   PTS  Year Pts Won Pts Max  Share  \n",
       "187    2.1  0.9  1.1  1.7  2.4  21.8  2014    34.0  1250.0  0.027  \n",
       "329    7.5  2.1  0.3  4.4  3.1  23.5  1997     1.0  1150.0  0.001  \n",
       "331    4.6  2.3  0.1  3.5  2.0  26.8  1999   319.0  1180.0  0.270  \n",
       "332    4.7  2.1  0.1  3.3  2.3  28.4  2000   132.0  1210.0  0.109  \n",
       "333    4.6  2.5  0.3  3.3  2.1  31.1  2001  1121.0  1240.0  0.904  \n",
       "...    ...  ...  ...  ...  ...   ...   ...     ...     ...    ...  \n",
       "13587  3.9  1.3  1.1  2.2  3.2  25.7  2000    51.0  1210.0  0.042  \n",
       "13588  3.9  1.5  1.1  2.2  2.7  27.6  2001     7.0  1240.0  0.006  \n",
       "13592  4.2  1.4  0.6  2.2  3.2  24.5  2005     3.0  1270.0  0.002  \n",
       "13952  1.5  0.3  1.9  2.5  3.3  17.5  2004     1.0  1230.0  0.001  \n",
       "13957  1.8  0.4  1.9  3.0  3.3  19.7  2009     1.0  1210.0  0.001  \n",
       "\n",
       "[474 rows x 33 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined[combined[\"Pts Won\"] > 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b021c16",
   "metadata": {},
   "source": [
    "### Load teams CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "23273bd8",
   "metadata": {},
   "outputs": [],
   "source": [
    "teams = pd.read_csv(\"teams.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f6531e42",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>W</th>\n",
       "      <th>L</th>\n",
       "      <th>W/L%</th>\n",
       "      <th>GB</th>\n",
       "      <th>PS/G</th>\n",
       "      <th>PA/G</th>\n",
       "      <th>SRS</th>\n",
       "      <th>Year</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>—</td>\n",
       "      <td>111.5</td>\n",
       "      <td>105.7</td>\n",
       "      <td>5.22</td>\n",
       "      <td>1991</td>\n",
       "      <td>Boston Celtics*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
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       "      <td>38</td>\n",
       "      <td>.537</td>\n",
       "      <td>12.0</td>\n",
       "      <td>105.4</td>\n",
       "      <td>105.6</td>\n",
       "      <td>-0.39</td>\n",
       "      <td>1991</td>\n",
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       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>43</td>\n",
       "      <td>.476</td>\n",
       "      <td>17.0</td>\n",
       "      <td>103.1</td>\n",
       "      <td>103.3</td>\n",
       "      <td>-0.43</td>\n",
       "      <td>1991</td>\n",
       "      <td>New York Knicks*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "      <td>52</td>\n",
       "      <td>.366</td>\n",
       "      <td>26.0</td>\n",
       "      <td>101.4</td>\n",
       "      <td>106.4</td>\n",
       "      <td>-4.84</td>\n",
       "      <td>1991</td>\n",
       "      <td>Washington Bullets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>26</td>\n",
       "      <td>56</td>\n",
       "      <td>.317</td>\n",
       "      <td>30.0</td>\n",
       "      <td>102.9</td>\n",
       "      <td>107.5</td>\n",
       "      <td>-4.53</td>\n",
       "      <td>1991</td>\n",
       "      <td>New Jersey Nets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "      <td>58</td>\n",
       "      <td>.293</td>\n",
       "      <td>32.0</td>\n",
       "      <td>101.8</td>\n",
       "      <td>107.8</td>\n",
       "      <td>-5.91</td>\n",
       "      <td>1991</td>\n",
       "      <td>Miami Heat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>Central Division</td>\n",
       "      <td>Central Division</td>\n",
       "      <td>Central Division</td>\n",
       "      <td>Central Division</td>\n",
       "      <td>Central Division</td>\n",
       "      <td>Central Division</td>\n",
       "      <td>Central Division</td>\n",
       "      <td>1991</td>\n",
       "      <td>Central Division</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>61</td>\n",
       "      <td>21</td>\n",
       "      <td>.744</td>\n",
       "      <td>—</td>\n",
       "      <td>110.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>8.57</td>\n",
       "      <td>1991</td>\n",
       "      <td>Chicago Bulls*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>50</td>\n",
       "      <td>32</td>\n",
       "      <td>.610</td>\n",
       "      <td>11.0</td>\n",
       "      <td>100.1</td>\n",
       "      <td>96.8</td>\n",
       "      <td>3.08</td>\n",
       "      <td>1991</td>\n",
       "      <td>Detroit Pistons*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>48</td>\n",
       "      <td>34</td>\n",
       "      <td>.585</td>\n",
       "      <td>13.0</td>\n",
       "      <td>106.4</td>\n",
       "      <td>104.0</td>\n",
       "      <td>2.33</td>\n",
       "      <td>1991</td>\n",
       "      <td>Milwaukee Bucks*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>43</td>\n",
       "      <td>39</td>\n",
       "      <td>.524</td>\n",
       "      <td>18.0</td>\n",
       "      <td>109.8</td>\n",
       "      <td>109.0</td>\n",
       "      <td>0.72</td>\n",
       "      <td>1991</td>\n",
       "      <td>Atlanta Hawks*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>.500</td>\n",
       "      <td>20.0</td>\n",
       "      <td>111.7</td>\n",
       "      <td>112.1</td>\n",
       "      <td>-0.37</td>\n",
       "      <td>1991</td>\n",
       "      <td>Indiana Pacers*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>33</td>\n",
       "      <td>49</td>\n",
       "      <td>.402</td>\n",
       "      <td>28.0</td>\n",
       "      <td>101.7</td>\n",
       "      <td>104.2</td>\n",
       "      <td>-2.33</td>\n",
       "      <td>1991</td>\n",
       "      <td>Cleveland Cavaliers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>26</td>\n",
       "      <td>56</td>\n",
       "      <td>.317</td>\n",
       "      <td>35.0</td>\n",
       "      <td>102.8</td>\n",
       "      <td>108.0</td>\n",
       "      <td>-4.95</td>\n",
       "      <td>1991</td>\n",
       "      <td>Charlotte Hornets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0</td>\n",
       "      <td>Midwest Division</td>\n",
       "      <td>Midwest Division</td>\n",
       "      <td>Midwest Division</td>\n",
       "      <td>Midwest Division</td>\n",
       "      <td>Midwest Division</td>\n",
       "      <td>Midwest Division</td>\n",
       "      <td>Midwest Division</td>\n",
       "      <td>1991</td>\n",
       "      <td>Midwest Division</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>55</td>\n",
       "      <td>27</td>\n",
       "      <td>.671</td>\n",
       "      <td>—</td>\n",
       "      <td>107.1</td>\n",
       "      <td>102.6</td>\n",
       "      <td>4.30</td>\n",
       "      <td>1991</td>\n",
       "      <td>San Antonio Spurs*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2</td>\n",
       "      <td>54</td>\n",
       "      <td>28</td>\n",
       "      <td>.659</td>\n",
       "      <td>1.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>100.7</td>\n",
       "      <td>3.18</td>\n",
       "      <td>1991</td>\n",
       "      <td>Utah Jazz*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3</td>\n",
       "      <td>52</td>\n",
       "      <td>30</td>\n",
       "      <td>.634</td>\n",
       "      <td>3.0</td>\n",
       "      <td>106.7</td>\n",
       "      <td>103.2</td>\n",
       "      <td>3.27</td>\n",
       "      <td>1991</td>\n",
       "      <td>Houston Rockets*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4</td>\n",
       "      <td>31</td>\n",
       "      <td>51</td>\n",
       "      <td>.378</td>\n",
       "      <td>24.0</td>\n",
       "      <td>105.9</td>\n",
       "      <td>109.9</td>\n",
       "      <td>-3.79</td>\n",
       "      <td>1991</td>\n",
       "      <td>Orlando Magic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5</td>\n",
       "      <td>29</td>\n",
       "      <td>53</td>\n",
       "      <td>.354</td>\n",
       "      <td>26.0</td>\n",
       "      <td>99.6</td>\n",
       "      <td>103.5</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>1991</td>\n",
       "      <td>Minnesota Timberwolves</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>6</td>\n",
       "      <td>28</td>\n",
       "      <td>54</td>\n",
       "      <td>.341</td>\n",
       "      <td>27.0</td>\n",
       "      <td>99.9</td>\n",
       "      <td>104.5</td>\n",
       "      <td>-4.27</td>\n",
       "      <td>1991</td>\n",
       "      <td>Dallas Mavericks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>7</td>\n",
       "      <td>20</td>\n",
       "      <td>62</td>\n",
       "      <td>.244</td>\n",
       "      <td>35.0</td>\n",
       "      <td>119.9</td>\n",
       "      <td>130.8</td>\n",
       "      <td>-10.31</td>\n",
       "      <td>1991</td>\n",
       "      <td>Denver Nuggets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>8</td>\n",
       "      <td>Pacific Division</td>\n",
       "      <td>Pacific Division</td>\n",
       "      <td>Pacific Division</td>\n",
       "      <td>Pacific Division</td>\n",
       "      <td>Pacific Division</td>\n",
       "      <td>Pacific Division</td>\n",
       "      <td>Pacific Division</td>\n",
       "      <td>1991</td>\n",
       "      <td>Pacific Division</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>9</td>\n",
       "      <td>63</td>\n",
       "      <td>19</td>\n",
       "      <td>.768</td>\n",
       "      <td>—</td>\n",
       "      <td>114.7</td>\n",
       "      <td>106.0</td>\n",
       "      <td>8.47</td>\n",
       "      <td>1991</td>\n",
       "      <td>Portland Trail Blazers*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>10</td>\n",
       "      <td>58</td>\n",
       "      <td>24</td>\n",
       "      <td>.707</td>\n",
       "      <td>5.0</td>\n",
       "      <td>106.3</td>\n",
       "      <td>99.6</td>\n",
       "      <td>6.73</td>\n",
       "      <td>1991</td>\n",
       "      <td>Los Angeles Lakers*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>11</td>\n",
       "      <td>55</td>\n",
       "      <td>27</td>\n",
       "      <td>.671</td>\n",
       "      <td>8.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>107.5</td>\n",
       "      <td>6.49</td>\n",
       "      <td>1991</td>\n",
       "      <td>Phoenix Suns*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>12</td>\n",
       "      <td>44</td>\n",
       "      <td>38</td>\n",
       "      <td>.537</td>\n",
       "      <td>19.0</td>\n",
       "      <td>116.6</td>\n",
       "      <td>115.0</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1991</td>\n",
       "      <td>Golden State Warriors*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>13</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>.500</td>\n",
       "      <td>22.0</td>\n",
       "      <td>106.6</td>\n",
       "      <td>105.4</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1991</td>\n",
       "      <td>Seattle SuperSonics*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>14</td>\n",
       "      <td>31</td>\n",
       "      <td>51</td>\n",
       "      <td>.378</td>\n",
       "      <td>32.0</td>\n",
       "      <td>103.5</td>\n",
       "      <td>107.0</td>\n",
       "      <td>-3.16</td>\n",
       "      <td>1991</td>\n",
       "      <td>Los Angeles Clippers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>15</td>\n",
       "      <td>25</td>\n",
       "      <td>57</td>\n",
       "      <td>.305</td>\n",
       "      <td>38.0</td>\n",
       "      <td>96.7</td>\n",
       "      <td>103.5</td>\n",
       "      <td>-6.27</td>\n",
       "      <td>1991</td>\n",
       "      <td>Sacramento Kings</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0                 W                 L              W/L%   \n",
       "0            0                56                26              .683  \\\n",
       "1            1                44                38              .537   \n",
       "2            2                39                43              .476   \n",
       "3            3                30                52              .366   \n",
       "4            4                26                56              .317   \n",
       "5            5                24                58              .293   \n",
       "6            6  Central Division  Central Division  Central Division   \n",
       "7            7                61                21              .744   \n",
       "8            8                50                32              .610   \n",
       "9            9                48                34              .585   \n",
       "10          10                43                39              .524   \n",
       "11          11                41                41              .500   \n",
       "12          12                33                49              .402   \n",
       "13          13                26                56              .317   \n",
       "14           0  Midwest Division  Midwest Division  Midwest Division   \n",
       "15           1                55                27              .671   \n",
       "16           2                54                28              .659   \n",
       "17           3                52                30              .634   \n",
       "18           4                31                51              .378   \n",
       "19           5                29                53              .354   \n",
       "20           6                28                54              .341   \n",
       "21           7                20                62              .244   \n",
       "22           8  Pacific Division  Pacific Division  Pacific Division   \n",
       "23           9                63                19              .768   \n",
       "24          10                58                24              .707   \n",
       "25          11                55                27              .671   \n",
       "26          12                44                38              .537   \n",
       "27          13                41                41              .500   \n",
       "28          14                31                51              .378   \n",
       "29          15                25                57              .305   \n",
       "\n",
       "                  GB              PS/G              PA/G               SRS   \n",
       "0                  —             111.5             105.7              5.22  \\\n",
       "1               12.0             105.4             105.6             -0.39   \n",
       "2               17.0             103.1             103.3             -0.43   \n",
       "3               26.0             101.4             106.4             -4.84   \n",
       "4               30.0             102.9             107.5             -4.53   \n",
       "5               32.0             101.8             107.8             -5.91   \n",
       "6   Central Division  Central Division  Central Division  Central Division   \n",
       "7                  —             110.0             101.0              8.57   \n",
       "8               11.0             100.1              96.8              3.08   \n",
       "9               13.0             106.4             104.0              2.33   \n",
       "10              18.0             109.8             109.0              0.72   \n",
       "11              20.0             111.7             112.1             -0.37   \n",
       "12              28.0             101.7             104.2             -2.33   \n",
       "13              35.0             102.8             108.0             -4.95   \n",
       "14  Midwest Division  Midwest Division  Midwest Division  Midwest Division   \n",
       "15                 —             107.1             102.6              4.30   \n",
       "16               1.0             104.0             100.7              3.18   \n",
       "17               3.0             106.7             103.2              3.27   \n",
       "18              24.0             105.9             109.9             -3.79   \n",
       "19              26.0              99.6             103.5             -3.75   \n",
       "20              27.0              99.9             104.5             -4.27   \n",
       "21              35.0             119.9             130.8            -10.31   \n",
       "22  Pacific Division  Pacific Division  Pacific Division  Pacific Division   \n",
       "23                 —             114.7             106.0              8.47   \n",
       "24               5.0             106.3              99.6              6.73   \n",
       "25               8.0             114.0             107.5              6.49   \n",
       "26              19.0             116.6             115.0              1.72   \n",
       "27              22.0             106.6             105.4              1.31   \n",
       "28              32.0             103.5             107.0             -3.16   \n",
       "29              38.0              96.7             103.5             -6.27   \n",
       "\n",
       "    Year                     Team  \n",
       "0   1991          Boston Celtics*  \n",
       "1   1991      Philadelphia 76ers*  \n",
       "2   1991         New York Knicks*  \n",
       "3   1991       Washington Bullets  \n",
       "4   1991          New Jersey Nets  \n",
       "5   1991               Miami Heat  \n",
       "6   1991         Central Division  \n",
       "7   1991           Chicago Bulls*  \n",
       "8   1991         Detroit Pistons*  \n",
       "9   1991         Milwaukee Bucks*  \n",
       "10  1991           Atlanta Hawks*  \n",
       "11  1991          Indiana Pacers*  \n",
       "12  1991      Cleveland Cavaliers  \n",
       "13  1991        Charlotte Hornets  \n",
       "14  1991         Midwest Division  \n",
       "15  1991       San Antonio Spurs*  \n",
       "16  1991               Utah Jazz*  \n",
       "17  1991         Houston Rockets*  \n",
       "18  1991            Orlando Magic  \n",
       "19  1991   Minnesota Timberwolves  \n",
       "20  1991         Dallas Mavericks  \n",
       "21  1991           Denver Nuggets  \n",
       "22  1991         Pacific Division  \n",
       "23  1991  Portland Trail Blazers*  \n",
       "24  1991      Los Angeles Lakers*  \n",
       "25  1991            Phoenix Suns*  \n",
       "26  1991   Golden State Warriors*  \n",
       "27  1991     Seattle SuperSonics*  \n",
       "28  1991     Los Angeles Clippers  \n",
       "29  1991         Sacramento Kings  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "teams.head(30)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc804308",
   "metadata": {},
   "source": [
    "### Remove Division rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "419626ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "teams = teams[~teams[\"W\"].str.contains(\"Division\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3762bf82",
   "metadata": {
    "scrolled": true
   },
   "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>Unnamed: 0</th>\n",
       "      <th>W</th>\n",
       "      <th>L</th>\n",
       "      <th>W/L%</th>\n",
       "      <th>GB</th>\n",
       "      <th>PS/G</th>\n",
       "      <th>PA/G</th>\n",
       "      <th>SRS</th>\n",
       "      <th>Year</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>26</td>\n",
       "      <td>.683</td>\n",
       "      <td>—</td>\n",
       "      <td>111.5</td>\n",
       "      <td>105.7</td>\n",
       "      <td>5.22</td>\n",
       "      <td>1991</td>\n",
       "      <td>Boston Celtics*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>44</td>\n",
       "      <td>38</td>\n",
       "      <td>.537</td>\n",
       "      <td>12.0</td>\n",
       "      <td>105.4</td>\n",
       "      <td>105.6</td>\n",
       "      <td>-0.39</td>\n",
       "      <td>1991</td>\n",
       "      <td>Philadelphia 76ers*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>43</td>\n",
       "      <td>.476</td>\n",
       "      <td>17.0</td>\n",
       "      <td>103.1</td>\n",
       "      <td>103.3</td>\n",
       "      <td>-0.43</td>\n",
       "      <td>1991</td>\n",
       "      <td>New York Knicks*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "      <td>52</td>\n",
       "      <td>.366</td>\n",
       "      <td>26.0</td>\n",
       "      <td>101.4</td>\n",
       "      <td>106.4</td>\n",
       "      <td>-4.84</td>\n",
       "      <td>1991</td>\n",
       "      <td>Washington Bullets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>26</td>\n",
       "      <td>56</td>\n",
       "      <td>.317</td>\n",
       "      <td>30.0</td>\n",
       "      <td>102.9</td>\n",
       "      <td>107.5</td>\n",
       "      <td>-4.53</td>\n",
       "      <td>1991</td>\n",
       "      <td>New Jersey Nets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "      <td>58</td>\n",
       "      <td>.293</td>\n",
       "      <td>32.0</td>\n",
       "      <td>101.8</td>\n",
       "      <td>107.8</td>\n",
       "      <td>-5.91</td>\n",
       "      <td>1991</td>\n",
       "      <td>Miami Heat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>61</td>\n",
       "      <td>21</td>\n",
       "      <td>.744</td>\n",
       "      <td>—</td>\n",
       "      <td>110.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>8.57</td>\n",
       "      <td>1991</td>\n",
       "      <td>Chicago Bulls*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>50</td>\n",
       "      <td>32</td>\n",
       "      <td>.610</td>\n",
       "      <td>11.0</td>\n",
       "      <td>100.1</td>\n",
       "      <td>96.8</td>\n",
       "      <td>3.08</td>\n",
       "      <td>1991</td>\n",
       "      <td>Detroit Pistons*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>48</td>\n",
       "      <td>34</td>\n",
       "      <td>.585</td>\n",
       "      <td>13.0</td>\n",
       "      <td>106.4</td>\n",
       "      <td>104.0</td>\n",
       "      <td>2.33</td>\n",
       "      <td>1991</td>\n",
       "      <td>Milwaukee Bucks*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>43</td>\n",
       "      <td>39</td>\n",
       "      <td>.524</td>\n",
       "      <td>18.0</td>\n",
       "      <td>109.8</td>\n",
       "      <td>109.0</td>\n",
       "      <td>0.72</td>\n",
       "      <td>1991</td>\n",
       "      <td>Atlanta Hawks*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>.500</td>\n",
       "      <td>20.0</td>\n",
       "      <td>111.7</td>\n",
       "      <td>112.1</td>\n",
       "      <td>-0.37</td>\n",
       "      <td>1991</td>\n",
       "      <td>Indiana Pacers*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>33</td>\n",
       "      <td>49</td>\n",
       "      <td>.402</td>\n",
       "      <td>28.0</td>\n",
       "      <td>101.7</td>\n",
       "      <td>104.2</td>\n",
       "      <td>-2.33</td>\n",
       "      <td>1991</td>\n",
       "      <td>Cleveland Cavaliers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>26</td>\n",
       "      <td>56</td>\n",
       "      <td>.317</td>\n",
       "      <td>35.0</td>\n",
       "      <td>102.8</td>\n",
       "      <td>108.0</td>\n",
       "      <td>-4.95</td>\n",
       "      <td>1991</td>\n",
       "      <td>Charlotte Hornets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>55</td>\n",
       "      <td>27</td>\n",
       "      <td>.671</td>\n",
       "      <td>—</td>\n",
       "      <td>107.1</td>\n",
       "      <td>102.6</td>\n",
       "      <td>4.30</td>\n",
       "      <td>1991</td>\n",
       "      <td>San Antonio Spurs*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2</td>\n",
       "      <td>54</td>\n",
       "      <td>28</td>\n",
       "      <td>.659</td>\n",
       "      <td>1.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>100.7</td>\n",
       "      <td>3.18</td>\n",
       "      <td>1991</td>\n",
       "      <td>Utah Jazz*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>3</td>\n",
       "      <td>52</td>\n",
       "      <td>30</td>\n",
       "      <td>.634</td>\n",
       "      <td>3.0</td>\n",
       "      <td>106.7</td>\n",
       "      <td>103.2</td>\n",
       "      <td>3.27</td>\n",
       "      <td>1991</td>\n",
       "      <td>Houston Rockets*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4</td>\n",
       "      <td>31</td>\n",
       "      <td>51</td>\n",
       "      <td>.378</td>\n",
       "      <td>24.0</td>\n",
       "      <td>105.9</td>\n",
       "      <td>109.9</td>\n",
       "      <td>-3.79</td>\n",
       "      <td>1991</td>\n",
       "      <td>Orlando Magic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5</td>\n",
       "      <td>29</td>\n",
       "      <td>53</td>\n",
       "      <td>.354</td>\n",
       "      <td>26.0</td>\n",
       "      <td>99.6</td>\n",
       "      <td>103.5</td>\n",
       "      <td>-3.75</td>\n",
       "      <td>1991</td>\n",
       "      <td>Minnesota Timberwolves</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>6</td>\n",
       "      <td>28</td>\n",
       "      <td>54</td>\n",
       "      <td>.341</td>\n",
       "      <td>27.0</td>\n",
       "      <td>99.9</td>\n",
       "      <td>104.5</td>\n",
       "      <td>-4.27</td>\n",
       "      <td>1991</td>\n",
       "      <td>Dallas Mavericks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>7</td>\n",
       "      <td>20</td>\n",
       "      <td>62</td>\n",
       "      <td>.244</td>\n",
       "      <td>35.0</td>\n",
       "      <td>119.9</td>\n",
       "      <td>130.8</td>\n",
       "      <td>-10.31</td>\n",
       "      <td>1991</td>\n",
       "      <td>Denver Nuggets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>9</td>\n",
       "      <td>63</td>\n",
       "      <td>19</td>\n",
       "      <td>.768</td>\n",
       "      <td>—</td>\n",
       "      <td>114.7</td>\n",
       "      <td>106.0</td>\n",
       "      <td>8.47</td>\n",
       "      <td>1991</td>\n",
       "      <td>Portland Trail Blazers*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>10</td>\n",
       "      <td>58</td>\n",
       "      <td>24</td>\n",
       "      <td>.707</td>\n",
       "      <td>5.0</td>\n",
       "      <td>106.3</td>\n",
       "      <td>99.6</td>\n",
       "      <td>6.73</td>\n",
       "      <td>1991</td>\n",
       "      <td>Los Angeles Lakers*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>11</td>\n",
       "      <td>55</td>\n",
       "      <td>27</td>\n",
       "      <td>.671</td>\n",
       "      <td>8.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>107.5</td>\n",
       "      <td>6.49</td>\n",
       "      <td>1991</td>\n",
       "      <td>Phoenix Suns*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>12</td>\n",
       "      <td>44</td>\n",
       "      <td>38</td>\n",
       "      <td>.537</td>\n",
       "      <td>19.0</td>\n",
       "      <td>116.6</td>\n",
       "      <td>115.0</td>\n",
       "      <td>1.72</td>\n",
       "      <td>1991</td>\n",
       "      <td>Golden State Warriors*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>13</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>.500</td>\n",
       "      <td>22.0</td>\n",
       "      <td>106.6</td>\n",
       "      <td>105.4</td>\n",
       "      <td>1.31</td>\n",
       "      <td>1991</td>\n",
       "      <td>Seattle SuperSonics*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>14</td>\n",
       "      <td>31</td>\n",
       "      <td>51</td>\n",
       "      <td>.378</td>\n",
       "      <td>32.0</td>\n",
       "      <td>103.5</td>\n",
       "      <td>107.0</td>\n",
       "      <td>-3.16</td>\n",
       "      <td>1991</td>\n",
       "      <td>Los Angeles Clippers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>15</td>\n",
       "      <td>25</td>\n",
       "      <td>57</td>\n",
       "      <td>.305</td>\n",
       "      <td>38.0</td>\n",
       "      <td>96.7</td>\n",
       "      <td>103.5</td>\n",
       "      <td>-6.27</td>\n",
       "      <td>1991</td>\n",
       "      <td>Sacramento Kings</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0</td>\n",
       "      <td>51</td>\n",
       "      <td>31</td>\n",
       "      <td>.622</td>\n",
       "      <td>—</td>\n",
       "      <td>106.6</td>\n",
       "      <td>103.0</td>\n",
       "      <td>3.41</td>\n",
       "      <td>1992</td>\n",
       "      <td>Boston Celtics*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1</td>\n",
       "      <td>51</td>\n",
       "      <td>31</td>\n",
       "      <td>.622</td>\n",
       "      <td>—</td>\n",
       "      <td>101.6</td>\n",
       "      <td>97.7</td>\n",
       "      <td>3.67</td>\n",
       "      <td>1992</td>\n",
       "      <td>New York Knicks*</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2</td>\n",
       "      <td>40</td>\n",
       "      <td>42</td>\n",
       "      <td>.488</td>\n",
       "      <td>11.0</td>\n",
       "      <td>105.4</td>\n",
       "      <td>107.1</td>\n",
       "      <td>-1.54</td>\n",
       "      <td>1992</td>\n",
       "      <td>New Jersey Nets*</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0   W   L  W/L%    GB   PS/G   PA/G     SRS  Year   \n",
       "0            0  56  26  .683     —  111.5  105.7    5.22  1991  \\\n",
       "1            1  44  38  .537  12.0  105.4  105.6   -0.39  1991   \n",
       "2            2  39  43  .476  17.0  103.1  103.3   -0.43  1991   \n",
       "3            3  30  52  .366  26.0  101.4  106.4   -4.84  1991   \n",
       "4            4  26  56  .317  30.0  102.9  107.5   -4.53  1991   \n",
       "5            5  24  58  .293  32.0  101.8  107.8   -5.91  1991   \n",
       "7            7  61  21  .744     —  110.0  101.0    8.57  1991   \n",
       "8            8  50  32  .610  11.0  100.1   96.8    3.08  1991   \n",
       "9            9  48  34  .585  13.0  106.4  104.0    2.33  1991   \n",
       "10          10  43  39  .524  18.0  109.8  109.0    0.72  1991   \n",
       "11          11  41  41  .500  20.0  111.7  112.1   -0.37  1991   \n",
       "12          12  33  49  .402  28.0  101.7  104.2   -2.33  1991   \n",
       "13          13  26  56  .317  35.0  102.8  108.0   -4.95  1991   \n",
       "15           1  55  27  .671     —  107.1  102.6    4.30  1991   \n",
       "16           2  54  28  .659   1.0  104.0  100.7    3.18  1991   \n",
       "17           3  52  30  .634   3.0  106.7  103.2    3.27  1991   \n",
       "18           4  31  51  .378  24.0  105.9  109.9   -3.79  1991   \n",
       "19           5  29  53  .354  26.0   99.6  103.5   -3.75  1991   \n",
       "20           6  28  54  .341  27.0   99.9  104.5   -4.27  1991   \n",
       "21           7  20  62  .244  35.0  119.9  130.8  -10.31  1991   \n",
       "23           9  63  19  .768     —  114.7  106.0    8.47  1991   \n",
       "24          10  58  24  .707   5.0  106.3   99.6    6.73  1991   \n",
       "25          11  55  27  .671   8.0  114.0  107.5    6.49  1991   \n",
       "26          12  44  38  .537  19.0  116.6  115.0    1.72  1991   \n",
       "27          13  41  41  .500  22.0  106.6  105.4    1.31  1991   \n",
       "28          14  31  51  .378  32.0  103.5  107.0   -3.16  1991   \n",
       "29          15  25  57  .305  38.0   96.7  103.5   -6.27  1991   \n",
       "30           0  51  31  .622     —  106.6  103.0    3.41  1992   \n",
       "31           1  51  31  .622     —  101.6   97.7    3.67  1992   \n",
       "32           2  40  42  .488  11.0  105.4  107.1   -1.54  1992   \n",
       "\n",
       "                       Team  \n",
       "0           Boston Celtics*  \n",
       "1       Philadelphia 76ers*  \n",
       "2          New York Knicks*  \n",
       "3        Washington Bullets  \n",
       "4           New Jersey Nets  \n",
       "5                Miami Heat  \n",
       "7            Chicago Bulls*  \n",
       "8          Detroit Pistons*  \n",
       "9          Milwaukee Bucks*  \n",
       "10           Atlanta Hawks*  \n",
       "11          Indiana Pacers*  \n",
       "12      Cleveland Cavaliers  \n",
       "13        Charlotte Hornets  \n",
       "15       San Antonio Spurs*  \n",
       "16               Utah Jazz*  \n",
       "17         Houston Rockets*  \n",
       "18            Orlando Magic  \n",
       "19   Minnesota Timberwolves  \n",
       "20         Dallas Mavericks  \n",
       "21           Denver Nuggets  \n",
       "23  Portland Trail Blazers*  \n",
       "24      Los Angeles Lakers*  \n",
       "25            Phoenix Suns*  \n",
       "26   Golden State Warriors*  \n",
       "27     Seattle SuperSonics*  \n",
       "28     Los Angeles Clippers  \n",
       "29         Sacramento Kings  \n",
       "30          Boston Celtics*  \n",
       "31         New York Knicks*  \n",
       "32         New Jersey Nets*  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "teams.head(30)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca62f6c6",
   "metadata": {},
   "source": [
    "### Remove asterisks (*) from any team names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f0df37b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "teams[\"Team\"] = teams[\"Team\"].str.replace(\"*\", \"\", regex=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0d35f6a4",
   "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>Unnamed: 0</th>\n",
       "      <th>W</th>\n",
       "      <th>L</th>\n",
       "      <th>W/L%</th>\n",
       "      <th>GB</th>\n",
       "      <th>PS/G</th>\n",
       "      <th>PA/G</th>\n",
       "      <th>SRS</th>\n",
       "      <th>Year</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>56</td>\n",
       "      <td>26</td>\n",
       "      <td>.683</td>\n",
       "      <td>—</td>\n",
       "      <td>111.5</td>\n",
       "      <td>105.7</td>\n",
       "      <td>5.22</td>\n",
       "      <td>1991</td>\n",
       "      <td>Boston Celtics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>44</td>\n",
       "      <td>38</td>\n",
       "      <td>.537</td>\n",
       "      <td>12.0</td>\n",
       "      <td>105.4</td>\n",
       "      <td>105.6</td>\n",
       "      <td>-0.39</td>\n",
       "      <td>1991</td>\n",
       "      <td>Philadelphia 76ers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>43</td>\n",
       "      <td>.476</td>\n",
       "      <td>17.0</td>\n",
       "      <td>103.1</td>\n",
       "      <td>103.3</td>\n",
       "      <td>-0.43</td>\n",
       "      <td>1991</td>\n",
       "      <td>New York Knicks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "      <td>52</td>\n",
       "      <td>.366</td>\n",
       "      <td>26.0</td>\n",
       "      <td>101.4</td>\n",
       "      <td>106.4</td>\n",
       "      <td>-4.84</td>\n",
       "      <td>1991</td>\n",
       "      <td>Washington Bullets</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>26</td>\n",
       "      <td>56</td>\n",
       "      <td>.317</td>\n",
       "      <td>30.0</td>\n",
       "      <td>102.9</td>\n",
       "      <td>107.5</td>\n",
       "      <td>-4.53</td>\n",
       "      <td>1991</td>\n",
       "      <td>New Jersey Nets</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0   W   L  W/L%    GB   PS/G   PA/G    SRS  Year   \n",
       "0           0  56  26  .683     —  111.5  105.7   5.22  1991  \\\n",
       "1           1  44  38  .537  12.0  105.4  105.6  -0.39  1991   \n",
       "2           2  39  43  .476  17.0  103.1  103.3  -0.43  1991   \n",
       "3           3  30  52  .366  26.0  101.4  106.4  -4.84  1991   \n",
       "4           4  26  56  .317  30.0  102.9  107.5  -4.53  1991   \n",
       "\n",
       "                 Team  \n",
       "0      Boston Celtics  \n",
       "1  Philadelphia 76ers  \n",
       "2     New York Knicks  \n",
       "3  Washington Bullets  \n",
       "4     New Jersey Nets  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "teams.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4292bf24",
   "metadata": {},
   "source": [
    "### Load mapping for team names and abbreviations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "5bc5eeac",
   "metadata": {},
   "outputs": [],
   "source": [
    "abbreviations = {}\n",
    "\n",
    "with open(\"abbreviations.csv\") as f:\n",
    "    lines = f.readlines()\n",
    "    for line in lines[1:]:\n",
    "        abbrev, name = line.replace(\"\\n\", \"\").split(\",\")\n",
    "        abbreviations[abbrev] = name"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "332691f1",
   "metadata": {},
   "source": [
    "### Map team names to combined df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "3411bb99",
   "metadata": {},
   "outputs": [],
   "source": [
    "combined[\"Team\"] = combined[\"Tm\"].map(abbreviations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "63eb9fc7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Player</th>\n",
       "      <th>Pos</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tm</th>\n",
       "      <th>G</th>\n",
       "      <th>GS</th>\n",
       "      <th>MP</th>\n",
       "      <th>FG</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG%</th>\n",
       "      <th>...</th>\n",
       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
       "      <th>TOV</th>\n",
       "      <th>PF</th>\n",
       "      <th>PTS</th>\n",
       "      <th>Year</th>\n",
       "      <th>Pts Won</th>\n",
       "      <th>Pts Max</th>\n",
       "      <th>Share</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>27</td>\n",
       "      <td>LAL</td>\n",
       "      <td>82</td>\n",
       "      <td>21</td>\n",
       "      <td>26.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6.6</td>\n",
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       "      <td>...</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>9.1</td>\n",
       "      <td>1991</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>28</td>\n",
       "      <td>LAL</td>\n",
       "      <td>82</td>\n",
       "      <td>53</td>\n",
       "      <td>35.4</td>\n",
       "      <td>4.7</td>\n",
       "      <td>9.8</td>\n",
       "      <td>.476</td>\n",
       "      <td>...</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>13.6</td>\n",
       "      <td>1992</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>29</td>\n",
       "      <td>LAL</td>\n",
       "      <td>82</td>\n",
       "      <td>55</td>\n",
       "      <td>34.4</td>\n",
       "      <td>4.6</td>\n",
       "      <td>8.6</td>\n",
       "      <td>.537</td>\n",
       "      <td>...</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>12.8</td>\n",
       "      <td>1993</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>30</td>\n",
       "      <td>PHO</td>\n",
       "      <td>82</td>\n",
       "      <td>55</td>\n",
       "      <td>34.5</td>\n",
       "      <td>5.7</td>\n",
       "      <td>11.3</td>\n",
       "      <td>.502</td>\n",
       "      <td>...</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.7</td>\n",
       "      <td>14.7</td>\n",
       "      <td>1994</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Phoenix Suns</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>SF</td>\n",
       "      <td>31</td>\n",
       "      <td>PHO</td>\n",
       "      <td>82</td>\n",
       "      <td>52</td>\n",
       "      <td>32.8</td>\n",
       "      <td>3.8</td>\n",
       "      <td>7.5</td>\n",
       "      <td>.504</td>\n",
       "      <td>...</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>11.2</td>\n",
       "      <td>1995</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Phoenix Suns</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Player Pos Age   Tm   G  GS    MP   FG   FGA   FG%  ...  STL  BLK  TOV   \n",
       "0  A.C. Green  PF  27  LAL  82  21  26.4  3.1   6.6  .476  ...  0.7  0.3  1.2  \\\n",
       "1  A.C. Green  PF  28  LAL  82  53  35.4  4.7   9.8  .476  ...  1.1  0.4  1.4   \n",
       "2  A.C. Green  PF  29  LAL  82  55  34.4  4.6   8.6  .537  ...  1.1  0.5  1.4   \n",
       "3  A.C. Green  PF  30  PHO  82  55  34.5  5.7  11.3  .502  ...  0.9  0.5  1.2   \n",
       "4  A.C. Green  SF  31  PHO  82  52  32.8  3.8   7.5  .504  ...  0.7  0.4  1.4   \n",
       "\n",
       "    PF   PTS  Year Pts Won Pts Max Share                Team  \n",
       "0  1.4   9.1  1991     0.0     0.0   0.0  Los Angeles Lakers  \n",
       "1  1.7  13.6  1992     0.0     0.0   0.0  Los Angeles Lakers  \n",
       "2  1.8  12.8  1993     0.0     0.0   0.0  Los Angeles Lakers  \n",
       "3  1.7  14.7  1994     0.0     0.0   0.0        Phoenix Suns  \n",
       "4  1.8  11.2  1995     0.0     0.0   0.0        Phoenix Suns  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7ac92b6",
   "metadata": {},
   "source": [
    "### Merge combined and teams df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "fb930c52",
   "metadata": {},
   "outputs": [],
   "source": [
    "stats = combined.merge(teams, how=\"outer\", on=[\"Team\", \"Year\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "0588ec26",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>24</td>\n",
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       "      <th>3</th>\n",
       "      <td>Irving Thomas</td>\n",
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       "      <td>25</td>\n",
       "      <td>LAL</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
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       "      <td>0.7</td>\n",
       "      <td>1.9</td>\n",
       "      <td>.340</td>\n",
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       "      <td>58</td>\n",
       "      <td>24</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>29</td>\n",
       "      <td>LAL</td>\n",
       "      <td>78</td>\n",
       "      <td>74</td>\n",
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       "      <td>18.7</td>\n",
       "      <td>.492</td>\n",
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       "      <td>24</td>\n",
       "      <td>.707</td>\n",
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       "      <th>14087</th>\n",
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       "      <td>54</td>\n",
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       "      <td>.484</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Milwaukee Bucks</td>\n",
       "      <td>7</td>\n",
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       "    <tr>\n",
       "      <th>14088</th>\n",
       "      <td>Steve Novak</td>\n",
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       "      <td>MIL</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
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       "      <td>0.3</td>\n",
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       "      <td>.286</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Milwaukee Bucks</td>\n",
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       "      <td>42</td>\n",
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       "      <td>.512</td>\n",
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       "      <td>-0.45</td>\n",
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       "    <tr>\n",
       "      <th>14089</th>\n",
       "      <td>Terrence Jones</td>\n",
       "      <td>PF</td>\n",
       "      <td>25</td>\n",
       "      <td>MIL</td>\n",
       "      <td>54</td>\n",
       "      <td>12</td>\n",
       "      <td>23.5</td>\n",
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       "      <td>9.1</td>\n",
       "      <td>.470</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Milwaukee Bucks</td>\n",
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       "      <td>42</td>\n",
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       "      <td>Thon Maker</td>\n",
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       "      <td>3.2</td>\n",
       "      <td>.459</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Milwaukee Bucks</td>\n",
       "      <td>7</td>\n",
       "      <td>42</td>\n",
       "      <td>40</td>\n",
       "      <td>.512</td>\n",
       "      <td>9.0</td>\n",
       "      <td>103.6</td>\n",
       "      <td>103.8</td>\n",
       "      <td>-0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14091</th>\n",
       "      <td>Tony Snell</td>\n",
       "      <td>SG</td>\n",
       "      <td>25</td>\n",
       "      <td>MIL</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>29.2</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6.8</td>\n",
       "      <td>.455</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Milwaukee Bucks</td>\n",
       "      <td>7</td>\n",
       "      <td>42</td>\n",
       "      <td>40</td>\n",
       "      <td>.512</td>\n",
       "      <td>9.0</td>\n",
       "      <td>103.6</td>\n",
       "      <td>103.8</td>\n",
       "      <td>-0.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14092 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Player Pos Age   Tm   G  GS    MP   FG   FGA   FG%  ... Share   \n",
       "0          A.C. Green  PF  27  LAL  82  21  26.4  3.1   6.6  .476  ...   0.0  \\\n",
       "1         Byron Scott  SG  29  LAL  82  82  32.1  6.1  12.8  .477  ...   0.0   \n",
       "2      Elden Campbell  PF  22  LAL  52   0   7.3  1.1   2.4  .455  ...   0.0   \n",
       "3       Irving Thomas  PF  25  LAL  26   0   4.2  0.7   1.9  .340  ...   0.0   \n",
       "4        James Worthy  SF  29  LAL  78  74  38.6  9.2  18.7  .492  ...   0.0   \n",
       "...               ...  ..  ..  ...  ..  ..   ...  ...   ...   ...  ...   ...   \n",
       "14087   Spencer Hawes  PF  28  MIL  54   1  14.8  2.5   5.1  .484  ...   0.0   \n",
       "14088     Steve Novak  PF  33  MIL   8   0   2.8  0.3   0.9  .286  ...   0.0   \n",
       "14089  Terrence Jones  PF  25  MIL  54  12  23.5  4.3   9.1  .470  ...   0.0   \n",
       "14090      Thon Maker   C  19  MIL  57  34   9.9  1.5   3.2  .459  ...   0.0   \n",
       "14091      Tony Snell  SG  25  MIL  80  80  29.2  3.1   6.8  .455  ...   0.0   \n",
       "\n",
       "                     Team Unnamed: 0   W   L  W/L%   GB   PS/G   PA/G    SRS  \n",
       "0      Los Angeles Lakers         10  58  24  .707  5.0  106.3   99.6   6.73  \n",
       "1      Los Angeles Lakers         10  58  24  .707  5.0  106.3   99.6   6.73  \n",
       "2      Los Angeles Lakers         10  58  24  .707  5.0  106.3   99.6   6.73  \n",
       "3      Los Angeles Lakers         10  58  24  .707  5.0  106.3   99.6   6.73  \n",
       "4      Los Angeles Lakers         10  58  24  .707  5.0  106.3   99.6   6.73  \n",
       "...                   ...        ...  ..  ..   ...  ...    ...    ...    ...  \n",
       "14087     Milwaukee Bucks          7  42  40  .512  9.0  103.6  103.8  -0.45  \n",
       "14088     Milwaukee Bucks          7  42  40  .512  9.0  103.6  103.8  -0.45  \n",
       "14089     Milwaukee Bucks          7  42  40  .512  9.0  103.6  103.8  -0.45  \n",
       "14090     Milwaukee Bucks          7  42  40  .512  9.0  103.6  103.8  -0.45  \n",
       "14091     Milwaukee Bucks          7  42  40  .512  9.0  103.6  103.8  -0.45  \n",
       "\n",
       "[14092 rows x 42 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ff8bee1e",
   "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>Pos</th>\n",
       "      <th>Age</th>\n",
       "      <th>Tm</th>\n",
       "      <th>G</th>\n",
       "      <th>GS</th>\n",
       "      <th>MP</th>\n",
       "      <th>FG</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG%</th>\n",
       "      <th>...</th>\n",
       "      <th>STL</th>\n",
       "      <th>BLK</th>\n",
       "      <th>TOV</th>\n",
       "      <th>PF</th>\n",
       "      <th>PTS</th>\n",
       "      <th>Year</th>\n",
       "      <th>Pts Won</th>\n",
       "      <th>Pts Max</th>\n",
       "      <th>Share</th>\n",
       "      <th>Team</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>27</td>\n",
       "      <td>LAL</td>\n",
       "      <td>82</td>\n",
       "      <td>21</td>\n",
       "      <td>26.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6.6</td>\n",
       "      <td>.476</td>\n",
       "      <td>...</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>9.1</td>\n",
       "      <td>1991</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>28</td>\n",
       "      <td>LAL</td>\n",
       "      <td>82</td>\n",
       "      <td>53</td>\n",
       "      <td>35.4</td>\n",
       "      <td>4.7</td>\n",
       "      <td>9.8</td>\n",
       "      <td>.476</td>\n",
       "      <td>...</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>13.6</td>\n",
       "      <td>1992</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>29</td>\n",
       "      <td>LAL</td>\n",
       "      <td>82</td>\n",
       "      <td>55</td>\n",
       "      <td>34.4</td>\n",
       "      <td>4.6</td>\n",
       "      <td>8.6</td>\n",
       "      <td>.537</td>\n",
       "      <td>...</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>12.8</td>\n",
       "      <td>1993</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Los Angeles Lakers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>PF</td>\n",
       "      <td>30</td>\n",
       "      <td>PHO</td>\n",
       "      <td>82</td>\n",
       "      <td>55</td>\n",
       "      <td>34.5</td>\n",
       "      <td>5.7</td>\n",
       "      <td>11.3</td>\n",
       "      <td>.502</td>\n",
       "      <td>...</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.7</td>\n",
       "      <td>14.7</td>\n",
       "      <td>1994</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Phoenix Suns</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A.C. Green</td>\n",
       "      <td>SF</td>\n",
       "      <td>31</td>\n",
       "      <td>PHO</td>\n",
       "      <td>82</td>\n",
       "      <td>52</td>\n",
       "      <td>32.8</td>\n",
       "      <td>3.8</td>\n",
       "      <td>7.5</td>\n",
       "      <td>.504</td>\n",
       "      <td>...</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>11.2</td>\n",
       "      <td>1995</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Phoenix Suns</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14087</th>\n",
       "      <td>Željko Rebrača</td>\n",
       "      <td>C</td>\n",
       "      <td>29</td>\n",
       "      <td>DET</td>\n",
       "      <td>74</td>\n",
       "      <td>4</td>\n",
       "      <td>15.9</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.1</td>\n",
       "      <td>.505</td>\n",
       "      <td>...</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2002</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Detroit Pistons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14088</th>\n",
       "      <td>Željko Rebrača</td>\n",
       "      <td>C</td>\n",
       "      <td>30</td>\n",
       "      <td>DET</td>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "      <td>16.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.8</td>\n",
       "      <td>.552</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Detroit Pistons</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14089</th>\n",
       "      <td>Željko Rebrača</td>\n",
       "      <td>C</td>\n",
       "      <td>31</td>\n",
       "      <td>ATL</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>11.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>.442</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.8</td>\n",
       "      <td>2004</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Atlanta Hawks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14090</th>\n",
       "      <td>Željko Rebrača</td>\n",
       "      <td>C</td>\n",
       "      <td>32</td>\n",
       "      <td>LAC</td>\n",
       "      <td>58</td>\n",
       "      <td>2</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>.568</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.2</td>\n",
       "      <td>5.8</td>\n",
       "      <td>2005</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Los Angeles Clippers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14091</th>\n",
       "      <td>Željko Rebrača</td>\n",
       "      <td>C</td>\n",
       "      <td>33</td>\n",
       "      <td>LAC</td>\n",
       "      <td>29</td>\n",
       "      <td>2</td>\n",
       "      <td>14.2</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.3</td>\n",
       "      <td>.542</td>\n",
       "      <td>...</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.7</td>\n",
       "      <td>2006</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Los Angeles Clippers</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14092 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Player Pos Age   Tm   G  GS    MP   FG   FGA   FG%  ...  STL   \n",
       "0          A.C. Green  PF  27  LAL  82  21  26.4  3.1   6.6  .476  ...  0.7  \\\n",
       "1          A.C. Green  PF  28  LAL  82  53  35.4  4.7   9.8  .476  ...  1.1   \n",
       "2          A.C. Green  PF  29  LAL  82  55  34.4  4.6   8.6  .537  ...  1.1   \n",
       "3          A.C. Green  PF  30  PHO  82  55  34.5  5.7  11.3  .502  ...  0.9   \n",
       "4          A.C. Green  SF  31  PHO  82  52  32.8  3.8   7.5  .504  ...  0.7   \n",
       "...               ...  ..  ..  ...  ..  ..   ...  ...   ...   ...  ...  ...   \n",
       "14087  Željko Rebrača   C  29  DET  74   4  15.9  2.6   5.1  .505  ...  0.4   \n",
       "14088  Željko Rebrača   C  30  DET  30  12  16.3  2.7   4.8  .552  ...  0.2   \n",
       "14089  Željko Rebrača   C  31  ATL  24   2  11.4  1.4   3.2  .442  ...  0.2   \n",
       "14090  Željko Rebrača   C  32  LAC  58   2  16.0  2.3   4.0  .568  ...  0.2   \n",
       "14091  Željko Rebrača   C  33  LAC  29   2  14.2  1.8   3.3  .542  ...  0.2   \n",
       "\n",
       "       BLK  TOV   PF   PTS  Year Pts Won Pts Max Share                  Team  \n",
       "0      0.3  1.2  1.4   9.1  1991     0.0     0.0   0.0    Los Angeles Lakers  \n",
       "1      0.4  1.4  1.7  13.6  1992     0.0     0.0   0.0    Los Angeles Lakers  \n",
       "2      0.5  1.4  1.8  12.8  1993     0.0     0.0   0.0    Los Angeles Lakers  \n",
       "3      0.5  1.2  1.7  14.7  1994     0.0     0.0   0.0          Phoenix Suns  \n",
       "4      0.4  1.4  1.8  11.2  1995     0.0     0.0   0.0          Phoenix Suns  \n",
       "...    ...  ...  ...   ...   ...     ...     ...   ...                   ...  \n",
       "14087  1.0  1.1  2.6   6.9  2002     0.0     0.0   0.0       Detroit Pistons  \n",
       "14088  0.6  1.0  2.6   6.6  2003     0.0     0.0   0.0       Detroit Pistons  \n",
       "14089  0.5  0.7  2.2   3.8  2004     0.0     0.0   0.0         Atlanta Hawks  \n",
       "14090  0.7  0.8  2.2   5.8  2005     0.0     0.0   0.0  Los Angeles Clippers  \n",
       "14091  0.7  0.8  2.0   4.7  2006     0.0     0.0   0.0  Los Angeles Clippers  \n",
       "\n",
       "[14092 rows x 34 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combined"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ccfa00b",
   "metadata": {},
   "source": [
    "### Remove Unnamed column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "2fb7d599",
   "metadata": {},
   "outputs": [],
   "source": [
    "del stats[\"Unnamed: 0\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "5811c0c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Player      object\n",
       "Pos         object\n",
       "Age         object\n",
       "Tm          object\n",
       "G           object\n",
       "GS          object\n",
       "MP          object\n",
       "FG          object\n",
       "FGA         object\n",
       "FG%         object\n",
       "3P          object\n",
       "3PA         object\n",
       "3P%         object\n",
       "2P          object\n",
       "2PA         object\n",
       "2P%         object\n",
       "eFG%        object\n",
       "FT          object\n",
       "FTA         object\n",
       "FT%         object\n",
       "ORB         object\n",
       "DRB         object\n",
       "TRB         object\n",
       "AST         object\n",
       "STL         object\n",
       "BLK         object\n",
       "TOV         object\n",
       "PF          object\n",
       "PTS         object\n",
       "Year         int64\n",
       "Pts Won    float64\n",
       "Pts Max    float64\n",
       "Share      float64\n",
       "Team        object\n",
       "W           object\n",
       "L           object\n",
       "W/L%        object\n",
       "GB          object\n",
       "PS/G        object\n",
       "PA/G        object\n",
       "SRS         object\n",
       "dtype: object"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99ff3b78",
   "metadata": {},
   "source": [
    "### Transform to numeric where applicable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "8737291c",
   "metadata": {},
   "outputs": [],
   "source": [
    "stats = stats.apply(pd.to_numeric, errors=\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "34957f00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Player      object\n",
       "Pos         object\n",
       "Age          int64\n",
       "Tm          object\n",
       "G            int64\n",
       "GS           int64\n",
       "MP         float64\n",
       "FG         float64\n",
       "FGA        float64\n",
       "FG%        float64\n",
       "3P         float64\n",
       "3PA        float64\n",
       "3P%        float64\n",
       "2P         float64\n",
       "2PA        float64\n",
       "2P%        float64\n",
       "eFG%       float64\n",
       "FT         float64\n",
       "FTA        float64\n",
       "FT%        float64\n",
       "ORB        float64\n",
       "DRB        float64\n",
       "TRB        float64\n",
       "AST        float64\n",
       "STL        float64\n",
       "BLK        float64\n",
       "TOV        float64\n",
       "PF         float64\n",
       "PTS        float64\n",
       "Year         int64\n",
       "Pts Won    float64\n",
       "Pts Max    float64\n",
       "Share      float64\n",
       "Team        object\n",
       "W            int64\n",
       "L            int64\n",
       "W/L%       float64\n",
       "GB          object\n",
       "PS/G       float64\n",
       "PA/G       float64\n",
       "SRS        float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "f6b2fa16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['5.0', '14.0', '23.0', '7.0', '—', '40.0', '42.0', '18.0', '6.0',\n",
       "       '24.0', '26.0', '37.0', '29.0', '21.0', '28.0', '25.0', '8.0',\n",
       "       '19.0', '1.0', '13.0', '17.0', '3.0', '15.0', '9.0', '2.0', '35.0',\n",
       "       '20.0', '11.0', '16.0', '41.0', '12.0', '50.0', '10.0', '30.0',\n",
       "       '34.0', '4.0', '1.5', '22.0', '51.0', '36.0', '43.0', '39.0',\n",
       "       '18.5', '48.0', '46.0', '10.5', '32.0', '38.0', '27.0', '33.0',\n",
       "       '31.0', '21.5', '45.0', '22.5', '25.5', '3.5', '20.5', '11.5',\n",
       "       '44.0', '52.0', '56.0', '2.5', '12.5', '47.0', '32.5', '4.5'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats[\"GB\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bcf462d",
   "metadata": {},
   "source": [
    "### Replace dash with 0 in GB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b5e88cc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "stats[\"GB\"] = stats[\"GB\"].str.replace(\"—\", \"0\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "5dba2196",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['5.0', '14.0', '23.0', '7.0', '0', '40.0', '42.0', '18.0', '6.0',\n",
       "       '24.0', '26.0', '37.0', '29.0', '21.0', '28.0', '25.0', '8.0',\n",
       "       '19.0', '1.0', '13.0', '17.0', '3.0', '15.0', '9.0', '2.0', '35.0',\n",
       "       '20.0', '11.0', '16.0', '41.0', '12.0', '50.0', '10.0', '30.0',\n",
       "       '34.0', '4.0', '1.5', '22.0', '51.0', '36.0', '43.0', '39.0',\n",
       "       '18.5', '48.0', '46.0', '10.5', '32.0', '38.0', '27.0', '33.0',\n",
       "       '31.0', '21.5', '45.0', '22.5', '25.5', '3.5', '20.5', '11.5',\n",
       "       '44.0', '52.0', '56.0', '2.5', '12.5', '47.0', '32.5', '4.5'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats[\"GB\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3cb34025",
   "metadata": {},
   "source": [
    "### Transform GB to numeric"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "db276d54",
   "metadata": {},
   "outputs": [],
   "source": [
    "stats[\"GB\"] = pd.to_numeric(stats[\"GB\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "4c6d2d9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Player      object\n",
       "Pos         object\n",
       "Age          int64\n",
       "Tm          object\n",
       "G            int64\n",
       "GS           int64\n",
       "MP         float64\n",
       "FG         float64\n",
       "FGA        float64\n",
       "FG%        float64\n",
       "3P         float64\n",
       "3PA        float64\n",
       "3P%        float64\n",
       "2P         float64\n",
       "2PA        float64\n",
       "2P%        float64\n",
       "eFG%       float64\n",
       "FT         float64\n",
       "FTA        float64\n",
       "FT%        float64\n",
       "ORB        float64\n",
       "DRB        float64\n",
       "TRB        float64\n",
       "AST        float64\n",
       "STL        float64\n",
       "BLK        float64\n",
       "TOV        float64\n",
       "PF         float64\n",
       "PTS        float64\n",
       "Year         int64\n",
       "Pts Won    float64\n",
       "Pts Max    float64\n",
       "Share      float64\n",
       "Team        object\n",
       "W            int64\n",
       "L            int64\n",
       "W/L%       float64\n",
       "GB         float64\n",
       "PS/G       float64\n",
       "PA/G       float64\n",
       "SRS        float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c3a9798",
   "metadata": {},
   "source": [
    "### Save to CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "220ce348",
   "metadata": {},
   "outputs": [],
   "source": [
    "stats.to_csv(\"player_mvp_stats.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef9e38c9",
   "metadata": {},
   "source": [
    "# Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "6af39b71",
   "metadata": {},
   "outputs": [],
   "source": [
    "highest_scoring = stats[stats[\"G\"] > 70].sort_values(\"PTS\", ascending=False).head(18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "2b3a5a46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Player'>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "highest_scoring.plot.bar(\"Player\", \"PTS\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "99bce991",
   "metadata": {},
   "outputs": [],
   "source": [
    "highest_scoring = stats.groupby(\"Year\").apply(lambda x: x.sort_values(\"PTS\", ascending=False).head(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "498b79f5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Year'>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "highest_scoring.plot.bar(\"Year\", \"PTS\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "c6b845b5",
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Age        0.018596\n",
       "G          0.089282\n",
       "GS         0.167476\n",
       "MP         0.162175\n",
       "FG         0.276365\n",
       "FGA        0.249254\n",
       "FG%        0.065789\n",
       "3P         0.096225\n",
       "3PA        0.096460\n",
       "3P%        0.013611\n",
       "2P         0.275976\n",
       "2PA        0.251885\n",
       "2P%        0.063240\n",
       "eFG%       0.059335\n",
       "FT         0.316392\n",
       "FTA        0.321457\n",
       "FT%        0.037875\n",
       "ORB        0.101375\n",
       "DRB        0.213241\n",
       "TRB        0.186209\n",
       "AST        0.200253\n",
       "STL        0.175041\n",
       "BLK        0.154713\n",
       "TOV        0.233015\n",
       "PF         0.071045\n",
       "PTS        0.288267\n",
       "Year      -0.008135\n",
       "Pts Won    0.995153\n",
       "Pts Max    0.521335\n",
       "Share      1.000000\n",
       "W          0.122718\n",
       "L         -0.121866\n",
       "W/L%       0.126559\n",
       "GB        -0.101014\n",
       "PS/G       0.045206\n",
       "PA/G      -0.039617\n",
       "SRS        0.122782\n",
       "Name: Share, dtype: float64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.corr(numeric_only=True)[\"Share\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "0cc2aa7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stats.corr(numeric_only=True)[\"Share\"].plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2c464709",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}