Demo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "18d045c1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#pip install nba_api"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "052fb953",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Lets grab some player data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2fffa80a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nba_api.stats.endpoints import playercareerstats\n",
    "\n",
    "# Nikola Jokić\n",
    "career = playercareerstats.PlayerCareerStats(player_id='203999') \n",
    "\n",
    "# pandas data frames (optional: pip install pandas)\n",
    "#career.get_data_frames()[0]\n",
    "\n",
    "# json\n",
    "#career.get_json()\n",
    "\n",
    "# dictionary\n",
    "#career.get_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c26a2f4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PLAYER_ID</th>\n",
       "      <th>SEASON_ID</th>\n",
       "      <th>LEAGUE_ID</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_ABBREVIATION</th>\n",
       "      <th>PLAYER_AGE</th>\n",
       "      <th>GP</th>\n",
       "      <th>GS</th>\n",
       "      <th>MIN</th>\n",
       "      <th>FGM</th>\n",
       "      <th>...</th>\n",
       "      <th>FT_PCT</th>\n",
       "      <th>OREB</th>\n",
       "      <th>DREB</th>\n",
       "      <th>REB</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>203999</td>\n",
       "      <td>2015-16</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>80</td>\n",
       "      <td>55</td>\n",
       "      <td>1733.0</td>\n",
       "      <td>307</td>\n",
       "      <td>...</td>\n",
       "      <td>0.811</td>\n",
       "      <td>181</td>\n",
       "      <td>379</td>\n",
       "      <td>560</td>\n",
       "      <td>189</td>\n",
       "      <td>79</td>\n",
       "      <td>50</td>\n",
       "      <td>104</td>\n",
       "      <td>208</td>\n",
       "      <td>796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>203999</td>\n",
       "      <td>2016-17</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>73</td>\n",
       "      <td>59</td>\n",
       "      <td>2038.0</td>\n",
       "      <td>494</td>\n",
       "      <td>...</td>\n",
       "      <td>0.825</td>\n",
       "      <td>212</td>\n",
       "      <td>506</td>\n",
       "      <td>718</td>\n",
       "      <td>359</td>\n",
       "      <td>61</td>\n",
       "      <td>55</td>\n",
       "      <td>171</td>\n",
       "      <td>214</td>\n",
       "      <td>1221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>203999</td>\n",
       "      <td>2017-18</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>75</td>\n",
       "      <td>73</td>\n",
       "      <td>2443.0</td>\n",
       "      <td>504</td>\n",
       "      <td>...</td>\n",
       "      <td>0.850</td>\n",
       "      <td>195</td>\n",
       "      <td>608</td>\n",
       "      <td>803</td>\n",
       "      <td>458</td>\n",
       "      <td>90</td>\n",
       "      <td>61</td>\n",
       "      <td>210</td>\n",
       "      <td>212</td>\n",
       "      <td>1385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>203999</td>\n",
       "      <td>2018-19</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>2504.0</td>\n",
       "      <td>616</td>\n",
       "      <td>...</td>\n",
       "      <td>0.821</td>\n",
       "      <td>228</td>\n",
       "      <td>637</td>\n",
       "      <td>865</td>\n",
       "      <td>580</td>\n",
       "      <td>108</td>\n",
       "      <td>55</td>\n",
       "      <td>248</td>\n",
       "      <td>228</td>\n",
       "      <td>1604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>203999</td>\n",
       "      <td>2019-20</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>73</td>\n",
       "      <td>73</td>\n",
       "      <td>2335.0</td>\n",
       "      <td>565</td>\n",
       "      <td>...</td>\n",
       "      <td>0.817</td>\n",
       "      <td>166</td>\n",
       "      <td>545</td>\n",
       "      <td>711</td>\n",
       "      <td>512</td>\n",
       "      <td>85</td>\n",
       "      <td>44</td>\n",
       "      <td>226</td>\n",
       "      <td>222</td>\n",
       "      <td>1456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>203999</td>\n",
       "      <td>2020-21</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>2488.0</td>\n",
       "      <td>732</td>\n",
       "      <td>...</td>\n",
       "      <td>0.868</td>\n",
       "      <td>205</td>\n",
       "      <td>575</td>\n",
       "      <td>780</td>\n",
       "      <td>599</td>\n",
       "      <td>95</td>\n",
       "      <td>48</td>\n",
       "      <td>222</td>\n",
       "      <td>192</td>\n",
       "      <td>1898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>203999</td>\n",
       "      <td>2021-22</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>27.0</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>2476.0</td>\n",
       "      <td>764</td>\n",
       "      <td>...</td>\n",
       "      <td>0.810</td>\n",
       "      <td>206</td>\n",
       "      <td>813</td>\n",
       "      <td>1019</td>\n",
       "      <td>584</td>\n",
       "      <td>109</td>\n",
       "      <td>63</td>\n",
       "      <td>281</td>\n",
       "      <td>191</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>203999</td>\n",
       "      <td>2022-23</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>28.0</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>1846.0</td>\n",
       "      <td>516</td>\n",
       "      <td>...</td>\n",
       "      <td>0.822</td>\n",
       "      <td>128</td>\n",
       "      <td>515</td>\n",
       "      <td>643</td>\n",
       "      <td>551</td>\n",
       "      <td>70</td>\n",
       "      <td>36</td>\n",
       "      <td>196</td>\n",
       "      <td>142</td>\n",
       "      <td>1354</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   PLAYER_ID SEASON_ID LEAGUE_ID     TEAM_ID TEAM_ABBREVIATION  PLAYER_AGE  \\\n",
       "0     203999   2015-16        00  1610612743               DEN        21.0   \n",
       "1     203999   2016-17        00  1610612743               DEN        22.0   \n",
       "2     203999   2017-18        00  1610612743               DEN        23.0   \n",
       "3     203999   2018-19        00  1610612743               DEN        24.0   \n",
       "4     203999   2019-20        00  1610612743               DEN        25.0   \n",
       "5     203999   2020-21        00  1610612743               DEN        26.0   \n",
       "6     203999   2021-22        00  1610612743               DEN        27.0   \n",
       "7     203999   2022-23        00  1610612743               DEN        28.0   \n",
       "\n",
       "   GP  GS     MIN  FGM  ...  FT_PCT  OREB  DREB   REB  AST  STL  BLK  TOV  \\\n",
       "0  80  55  1733.0  307  ...   0.811   181   379   560  189   79   50  104   \n",
       "1  73  59  2038.0  494  ...   0.825   212   506   718  359   61   55  171   \n",
       "2  75  73  2443.0  504  ...   0.850   195   608   803  458   90   61  210   \n",
       "3  80  80  2504.0  616  ...   0.821   228   637   865  580  108   55  248   \n",
       "4  73  73  2335.0  565  ...   0.817   166   545   711  512   85   44  226   \n",
       "5  72  72  2488.0  732  ...   0.868   205   575   780  599   95   48  222   \n",
       "6  74  74  2476.0  764  ...   0.810   206   813  1019  584  109   63  281   \n",
       "7  55  55  1846.0  516  ...   0.822   128   515   643  551   70   36  196   \n",
       "\n",
       "    PF   PTS  \n",
       "0  208   796  \n",
       "1  214  1221  \n",
       "2  212  1385  \n",
       "3  228  1604  \n",
       "4  222  1456  \n",
       "5  192  1898  \n",
       "6  191  2004  \n",
       "7  142  1354  \n",
       "\n",
       "[8 rows x 27 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Jokic players stats\n",
    "career.get_data_frames()[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "09105b35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PLAYER_ID</th>\n",
       "      <th>LEAGUE_ID</th>\n",
       "      <th>Team_ID</th>\n",
       "      <th>GP</th>\n",
       "      <th>GS</th>\n",
       "      <th>MIN</th>\n",
       "      <th>FGM</th>\n",
       "      <th>FGA</th>\n",
       "      <th>FG_PCT</th>\n",
       "      <th>FG3M</th>\n",
       "      <th>...</th>\n",
       "      <th>FT_PCT</th>\n",
       "      <th>OREB</th>\n",
       "      <th>DREB</th>\n",
       "      <th>REB</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>203999</td>\n",
       "      <td>00</td>\n",
       "      <td>0</td>\n",
       "      <td>582</td>\n",
       "      <td>541</td>\n",
       "      <td>17861.0</td>\n",
       "      <td>4498</td>\n",
       "      <td>8160</td>\n",
       "      <td>0.551225</td>\n",
       "      <td>581</td>\n",
       "      <td>...</td>\n",
       "      <td>0.828881</td>\n",
       "      <td>1521</td>\n",
       "      <td>4578</td>\n",
       "      <td>6099</td>\n",
       "      <td>3832</td>\n",
       "      <td>697</td>\n",
       "      <td>412</td>\n",
       "      <td>1658</td>\n",
       "      <td>1609</td>\n",
       "      <td>11718</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   PLAYER_ID LEAGUE_ID  Team_ID   GP   GS      MIN   FGM   FGA    FG_PCT  \\\n",
       "0     203999        00        0  582  541  17861.0  4498  8160  0.551225   \n",
       "\n",
       "   FG3M  ...    FT_PCT  OREB  DREB   REB   AST  STL  BLK   TOV    PF    PTS  \n",
       "0   581  ...  0.828881  1521  4578  6099  3832  697  412  1658  1609  11718  \n",
       "\n",
       "[1 rows x 24 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "career.get_data_frames()[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0af6374a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = career.get_data_frames()\n",
    "type(df[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0168de03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Points/Year Nikola Jokic'}, xlabel='SEASON_ID'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[0]\n",
    "# scatter plot\n",
    "df[0].plot(kind = 'line',x = 'SEASON_ID',y = 'PTS',color = 'red',title='Points/Year Nikola Jokic')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "16de36ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "# plot the first y-value\n",
    "df[0].plot(kind='line', x='SEASON_ID', y='PTS', color='red', ax=ax1)\n",
    "ax1.set_xlabel('SEASON_ID')\n",
    "ax1.set_ylabel('Points')\n",
    "\n",
    "# create a second y-axis and plot the second y-value\n",
    "ax2 = ax1.twinx()\n",
    "df[0].plot(kind='line', x='SEASON_ID', y='REB', color='blue', ax=ax2)\n",
    "ax2.set_ylabel('Rebounds')\n",
    "\n",
    "plt.title('Points/Year Nikola Jokic')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bed17024",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# create a larger figure size\n",
    "fig, ax1 = plt.subplots(figsize=(8, 5))\n",
    "\n",
    "# plot the first y-value\n",
    "df[0].plot(kind='line', x='SEASON_ID', y='PTS', color='red', ax=ax1)\n",
    "ax1.set_xlabel('Season', fontsize=12)\n",
    "ax1.set_ylabel('Points', fontsize=12)\n",
    "\n",
    "# create a second y-axis and plot the second y-value\n",
    "ax2 = ax1.twinx()\n",
    "df[0].plot(kind='line', x='SEASON_ID', y='REB', color='blue', ax=ax2)\n",
    "ax2.set_ylabel('Rebounds', fontsize=12)\n",
    "\n",
    "plt.title('Points/Year Nikola Jokic', fontsize=14)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "52208c9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "jokic = df[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "351f8aab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     9.950000\n",
       "1    16.726027\n",
       "2    18.466667\n",
       "3    20.050000\n",
       "4    19.945205\n",
       "5    26.361111\n",
       "6    27.081081\n",
       "7    24.618182\n",
       "dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jokic['PTS']/jokic['GP']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ce0d16e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Lets Add a new player to the mix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "57ddeb6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotPlayerStats(id):\n",
    "    career = playercareerstats.PlayerCareerStats(player_id=id)\n",
    "    return career.get_data_frames()[0]\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "87c92f88",
   "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_ID</th>\n",
       "      <th>SEASON_ID</th>\n",
       "      <th>LEAGUE_ID</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_ABBREVIATION</th>\n",
       "      <th>PLAYER_AGE</th>\n",
       "      <th>GP</th>\n",
       "      <th>GS</th>\n",
       "      <th>MIN</th>\n",
       "      <th>FGM</th>\n",
       "      <th>...</th>\n",
       "      <th>FT_PCT</th>\n",
       "      <th>OREB</th>\n",
       "      <th>DREB</th>\n",
       "      <th>REB</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>203954</td>\n",
       "      <td>2016-17</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>23.0</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>786.0</td>\n",
       "      <td>200</td>\n",
       "      <td>...</td>\n",
       "      <td>0.783</td>\n",
       "      <td>61</td>\n",
       "      <td>182</td>\n",
       "      <td>243</td>\n",
       "      <td>66</td>\n",
       "      <td>27</td>\n",
       "      <td>76</td>\n",
       "      <td>117</td>\n",
       "      <td>112</td>\n",
       "      <td>627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>203954</td>\n",
       "      <td>2017-18</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>24.0</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>1912.0</td>\n",
       "      <td>510</td>\n",
       "      <td>...</td>\n",
       "      <td>0.769</td>\n",
       "      <td>143</td>\n",
       "      <td>547</td>\n",
       "      <td>690</td>\n",
       "      <td>199</td>\n",
       "      <td>40</td>\n",
       "      <td>111</td>\n",
       "      <td>234</td>\n",
       "      <td>209</td>\n",
       "      <td>1445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>203954</td>\n",
       "      <td>2018-19</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>25.0</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>2154.0</td>\n",
       "      <td>580</td>\n",
       "      <td>...</td>\n",
       "      <td>0.804</td>\n",
       "      <td>160</td>\n",
       "      <td>711</td>\n",
       "      <td>871</td>\n",
       "      <td>234</td>\n",
       "      <td>46</td>\n",
       "      <td>122</td>\n",
       "      <td>226</td>\n",
       "      <td>211</td>\n",
       "      <td>1761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>203954</td>\n",
       "      <td>2019-20</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>26.0</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>1506.0</td>\n",
       "      <td>382</td>\n",
       "      <td>...</td>\n",
       "      <td>0.807</td>\n",
       "      <td>141</td>\n",
       "      <td>452</td>\n",
       "      <td>593</td>\n",
       "      <td>152</td>\n",
       "      <td>45</td>\n",
       "      <td>65</td>\n",
       "      <td>159</td>\n",
       "      <td>174</td>\n",
       "      <td>1172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>203954</td>\n",
       "      <td>2020-21</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>27.0</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>1585.0</td>\n",
       "      <td>461</td>\n",
       "      <td>...</td>\n",
       "      <td>0.859</td>\n",
       "      <td>113</td>\n",
       "      <td>426</td>\n",
       "      <td>539</td>\n",
       "      <td>145</td>\n",
       "      <td>50</td>\n",
       "      <td>69</td>\n",
       "      <td>159</td>\n",
       "      <td>123</td>\n",
       "      <td>1451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>203954</td>\n",
       "      <td>2021-22</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>28.0</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>2296.0</td>\n",
       "      <td>666</td>\n",
       "      <td>...</td>\n",
       "      <td>0.814</td>\n",
       "      <td>146</td>\n",
       "      <td>650</td>\n",
       "      <td>796</td>\n",
       "      <td>284</td>\n",
       "      <td>77</td>\n",
       "      <td>99</td>\n",
       "      <td>214</td>\n",
       "      <td>181</td>\n",
       "      <td>2079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>203954</td>\n",
       "      <td>2022-23</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612755</td>\n",
       "      <td>PHI</td>\n",
       "      <td>28.0</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>1683.0</td>\n",
       "      <td>525</td>\n",
       "      <td>...</td>\n",
       "      <td>0.860</td>\n",
       "      <td>86</td>\n",
       "      <td>414</td>\n",
       "      <td>500</td>\n",
       "      <td>196</td>\n",
       "      <td>53</td>\n",
       "      <td>78</td>\n",
       "      <td>170</td>\n",
       "      <td>153</td>\n",
       "      <td>1584</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   PLAYER_ID SEASON_ID LEAGUE_ID     TEAM_ID TEAM_ABBREVIATION  PLAYER_AGE  \\\n",
       "0     203954   2016-17        00  1610612755               PHI        23.0   \n",
       "1     203954   2017-18        00  1610612755               PHI        24.0   \n",
       "2     203954   2018-19        00  1610612755               PHI        25.0   \n",
       "3     203954   2019-20        00  1610612755               PHI        26.0   \n",
       "4     203954   2020-21        00  1610612755               PHI        27.0   \n",
       "5     203954   2021-22        00  1610612755               PHI        28.0   \n",
       "6     203954   2022-23        00  1610612755               PHI        28.0   \n",
       "\n",
       "   GP  GS     MIN  FGM  ...  FT_PCT  OREB  DREB  REB  AST  STL  BLK  TOV   PF  \\\n",
       "0  31  31   786.0  200  ...   0.783    61   182  243   66   27   76  117  112   \n",
       "1  63  63  1912.0  510  ...   0.769   143   547  690  199   40  111  234  209   \n",
       "2  64  64  2154.0  580  ...   0.804   160   711  871  234   46  122  226  211   \n",
       "3  51  51  1506.0  382  ...   0.807   141   452  593  152   45   65  159  174   \n",
       "4  51  51  1585.0  461  ...   0.859   113   426  539  145   50   69  159  123   \n",
       "5  68  68  2296.0  666  ...   0.814   146   650  796  284   77   99  214  181   \n",
       "6  48  48  1683.0  525  ...   0.860    86   414  500  196   53   78  170  153   \n",
       "\n",
       "    PTS  \n",
       "0   627  \n",
       "1  1445  \n",
       "2  1761  \n",
       "3  1172  \n",
       "4  1451  \n",
       "5  2079  \n",
       "6  1584  \n",
       "\n",
       "[7 rows x 27 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "embiid = plotPlayerStats(203954)\n",
    "embiid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7c71db9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "def plot_stats(df, stat_list):\n",
    "    \"\"\"Plot multiple stats over time for a given DataFrame.\"\"\"\n",
    "    # create a new DataFrame with only the specified columns\n",
    "    stat_df = df[stat_list + ['SEASON_ID']]\n",
    "    # set the index to the season ID column\n",
    "    stat_df.set_index('SEASON_ID', inplace=True)\n",
    "\n",
    "    # plot each stat on a separate axis\n",
    "    fig, ax = plt.subplots(figsize=(20, 10))\n",
    "    for i, stat in enumerate(stat_list):\n",
    "        # plot the stat on the current axis\n",
    "        ax.plot(stat_df.index, stat_df[stat], label=stat, color=plt.cm.get_cmap('Set1')(i/len(stat_list)))\n",
    "        ax.tick_params(axis='y', labelcolor=plt.cm.get_cmap('Set1')(i/len(stat_list)))\n",
    "        \n",
    "    # set axis labels and title\n",
    "    ax.set_xlabel('Season', fontsize=20)\n",
    "    ax.set_ylabel('Stats', fontsize=20)\n",
    "    ax.set_title('Stats over time', fontsize=24)\n",
    "    \n",
    "    # set the y axis limits and ticks\n",
    "    ax.set_ylim([0, df[stat_list].max().max()])\n",
    "    y_ticks = np.arange(0, df[stat_list].max().max(), df[stat_list].max().max() / 5)\n",
    "    ax.set_yticks(y_ticks)\n",
    "    ax.tick_params(axis='both', labelsize=16)\n",
    "    \n",
    "    # create a legend for the plot\n",
    "    lines, labels = ax.get_legend_handles_labels()\n",
    "    ax.legend(lines, labels, loc='upper left', fontsize=16)\n",
    "\n",
    "    # adjust the layout of the plot\n",
    "    plt.subplots_adjust(left=0.15, bottom=0.15)\n",
    "\n",
    "    # rotate x-axis labels\n",
    "    plt.xticks(rotation=90)\n",
    "\n",
    "    # show the plot\n",
    "    plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8a944276",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_stats(jokic,['PTS','REB'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6082ff3f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_stats(embiid,['PTS','REB','PF'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "07164b78",
   "metadata": {},
   "outputs": [],
   "source": [
    "#From docs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0f763800",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of players fetched: 4831\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[{'id': 76001,\n",
       "  'full_name': 'Alaa Abdelnaby',\n",
       "  'first_name': 'Alaa',\n",
       "  'last_name': 'Abdelnaby',\n",
       "  'is_active': False},\n",
       " {'id': 76002,\n",
       "  'full_name': 'Zaid Abdul-Aziz',\n",
       "  'first_name': 'Zaid',\n",
       "  'last_name': 'Abdul-Aziz',\n",
       "  'is_active': False},\n",
       " {'id': 76003,\n",
       "  'full_name': 'Kareem Abdul-Jabbar',\n",
       "  'first_name': 'Kareem',\n",
       "  'last_name': 'Abdul-Jabbar',\n",
       "  'is_active': False},\n",
       " {'id': 51,\n",
       "  'full_name': 'Mahmoud Abdul-Rauf',\n",
       "  'first_name': 'Mahmoud',\n",
       "  'last_name': 'Abdul-Rauf',\n",
       "  'is_active': False},\n",
       " {'id': 1505,\n",
       "  'full_name': 'Tariq Abdul-Wahad',\n",
       "  'first_name': 'Tariq',\n",
       "  'last_name': 'Abdul-Wahad',\n",
       "  'is_active': False}]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nba_api.stats.static import players\n",
    "# get_players returns a list of dictionaries, each representing a player.\n",
    "nba_players = players.get_players()\n",
    "print('Number of players fetched: {}'.format(len(nba_players)))\n",
    "nba_players[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4c47e683",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'id': 1495,\n",
       " 'full_name': 'Tim Duncan',\n",
       " 'first_name': 'Tim',\n",
       " 'last_name': 'Duncan',\n",
       " 'is_active': False}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_fundamental = [player for player in nba_players\n",
    "                   if player['full_name'] == 'Tim Duncan'][0]\n",
    "big_fundamental\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9a683e7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def getPlayerID(Name):\n",
    "    nba_players = players.get_players()\n",
    "    ID = [player for player in nba_players\n",
    "        if player['full_name'] == Name][0]\n",
    "    return ID['id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "7302cb54",
   "metadata": {},
   "outputs": [],
   "source": [
    "timduncan = getPlayerID(\"Tim Duncan\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b6042bbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1495"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "timduncan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "205df042",
   "metadata": {},
   "outputs": [],
   "source": [
    "timd = playercareerstats.PlayerCareerStats(player_id=timduncan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "07222f52",
   "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>PLAYER_ID</th>\n",
       "      <th>SEASON_ID</th>\n",
       "      <th>LEAGUE_ID</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_ABBREVIATION</th>\n",
       "      <th>PLAYER_AGE</th>\n",
       "      <th>GP</th>\n",
       "      <th>GS</th>\n",
       "      <th>MIN</th>\n",
       "      <th>FGM</th>\n",
       "      <th>...</th>\n",
       "      <th>FT_PCT</th>\n",
       "      <th>OREB</th>\n",
       "      <th>DREB</th>\n",
       "      <th>REB</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1495</td>\n",
       "      <td>1997-98</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>22.0</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>3204.0</td>\n",
       "      <td>706</td>\n",
       "      <td>...</td>\n",
       "      <td>0.662</td>\n",
       "      <td>274</td>\n",
       "      <td>703</td>\n",
       "      <td>977</td>\n",
       "      <td>224</td>\n",
       "      <td>55</td>\n",
       "      <td>206</td>\n",
       "      <td>279</td>\n",
       "      <td>254</td>\n",
       "      <td>1731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1495</td>\n",
       "      <td>1998-99</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>23.0</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>1963.0</td>\n",
       "      <td>418</td>\n",
       "      <td>...</td>\n",
       "      <td>0.690</td>\n",
       "      <td>159</td>\n",
       "      <td>412</td>\n",
       "      <td>571</td>\n",
       "      <td>121</td>\n",
       "      <td>45</td>\n",
       "      <td>126</td>\n",
       "      <td>146</td>\n",
       "      <td>147</td>\n",
       "      <td>1084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1495</td>\n",
       "      <td>1999-00</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>24.0</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>2875.0</td>\n",
       "      <td>628</td>\n",
       "      <td>...</td>\n",
       "      <td>0.761</td>\n",
       "      <td>262</td>\n",
       "      <td>656</td>\n",
       "      <td>918</td>\n",
       "      <td>234</td>\n",
       "      <td>66</td>\n",
       "      <td>165</td>\n",
       "      <td>242</td>\n",
       "      <td>210</td>\n",
       "      <td>1716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1495</td>\n",
       "      <td>2000-01</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>25.0</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>3174.0</td>\n",
       "      <td>702</td>\n",
       "      <td>...</td>\n",
       "      <td>0.618</td>\n",
       "      <td>259</td>\n",
       "      <td>738</td>\n",
       "      <td>997</td>\n",
       "      <td>245</td>\n",
       "      <td>70</td>\n",
       "      <td>192</td>\n",
       "      <td>242</td>\n",
       "      <td>247</td>\n",
       "      <td>1820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1495</td>\n",
       "      <td>2001-02</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>26.0</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>3329.0</td>\n",
       "      <td>764</td>\n",
       "      <td>...</td>\n",
       "      <td>0.799</td>\n",
       "      <td>268</td>\n",
       "      <td>774</td>\n",
       "      <td>1042</td>\n",
       "      <td>307</td>\n",
       "      <td>61</td>\n",
       "      <td>203</td>\n",
       "      <td>263</td>\n",
       "      <td>217</td>\n",
       "      <td>2089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1495</td>\n",
       "      <td>2002-03</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>27.0</td>\n",
       "      <td>81</td>\n",
       "      <td>81</td>\n",
       "      <td>3181.0</td>\n",
       "      <td>714</td>\n",
       "      <td>...</td>\n",
       "      <td>0.710</td>\n",
       "      <td>259</td>\n",
       "      <td>784</td>\n",
       "      <td>1043</td>\n",
       "      <td>316</td>\n",
       "      <td>55</td>\n",
       "      <td>237</td>\n",
       "      <td>248</td>\n",
       "      <td>231</td>\n",
       "      <td>1884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1495</td>\n",
       "      <td>2003-04</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>28.0</td>\n",
       "      <td>69</td>\n",
       "      <td>68</td>\n",
       "      <td>2527.0</td>\n",
       "      <td>592</td>\n",
       "      <td>...</td>\n",
       "      <td>0.599</td>\n",
       "      <td>227</td>\n",
       "      <td>632</td>\n",
       "      <td>859</td>\n",
       "      <td>213</td>\n",
       "      <td>62</td>\n",
       "      <td>185</td>\n",
       "      <td>183</td>\n",
       "      <td>164</td>\n",
       "      <td>1538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1495</td>\n",
       "      <td>2004-05</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>29.0</td>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>2203.0</td>\n",
       "      <td>517</td>\n",
       "      <td>...</td>\n",
       "      <td>0.670</td>\n",
       "      <td>202</td>\n",
       "      <td>530</td>\n",
       "      <td>732</td>\n",
       "      <td>179</td>\n",
       "      <td>45</td>\n",
       "      <td>174</td>\n",
       "      <td>127</td>\n",
       "      <td>144</td>\n",
       "      <td>1342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1495</td>\n",
       "      <td>2005-06</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>30.0</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>2784.0</td>\n",
       "      <td>574</td>\n",
       "      <td>...</td>\n",
       "      <td>0.629</td>\n",
       "      <td>231</td>\n",
       "      <td>650</td>\n",
       "      <td>881</td>\n",
       "      <td>253</td>\n",
       "      <td>70</td>\n",
       "      <td>162</td>\n",
       "      <td>198</td>\n",
       "      <td>219</td>\n",
       "      <td>1485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1495</td>\n",
       "      <td>2006-07</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>31.0</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>2726.0</td>\n",
       "      <td>618</td>\n",
       "      <td>...</td>\n",
       "      <td>0.637</td>\n",
       "      <td>213</td>\n",
       "      <td>633</td>\n",
       "      <td>846</td>\n",
       "      <td>273</td>\n",
       "      <td>66</td>\n",
       "      <td>190</td>\n",
       "      <td>224</td>\n",
       "      <td>203</td>\n",
       "      <td>1599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1495</td>\n",
       "      <td>2007-08</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>32.0</td>\n",
       "      <td>78</td>\n",
       "      <td>78</td>\n",
       "      <td>2651.0</td>\n",
       "      <td>585</td>\n",
       "      <td>...</td>\n",
       "      <td>0.730</td>\n",
       "      <td>237</td>\n",
       "      <td>644</td>\n",
       "      <td>881</td>\n",
       "      <td>218</td>\n",
       "      <td>56</td>\n",
       "      <td>152</td>\n",
       "      <td>178</td>\n",
       "      <td>185</td>\n",
       "      <td>1508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1495</td>\n",
       "      <td>2008-09</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>33.0</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>2523.0</td>\n",
       "      <td>558</td>\n",
       "      <td>...</td>\n",
       "      <td>0.692</td>\n",
       "      <td>201</td>\n",
       "      <td>599</td>\n",
       "      <td>800</td>\n",
       "      <td>264</td>\n",
       "      <td>38</td>\n",
       "      <td>126</td>\n",
       "      <td>165</td>\n",
       "      <td>173</td>\n",
       "      <td>1450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1495</td>\n",
       "      <td>2009-10</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>34.0</td>\n",
       "      <td>78</td>\n",
       "      <td>77</td>\n",
       "      <td>2438.0</td>\n",
       "      <td>561</td>\n",
       "      <td>...</td>\n",
       "      <td>0.725</td>\n",
       "      <td>221</td>\n",
       "      <td>567</td>\n",
       "      <td>788</td>\n",
       "      <td>246</td>\n",
       "      <td>45</td>\n",
       "      <td>117</td>\n",
       "      <td>140</td>\n",
       "      <td>152</td>\n",
       "      <td>1395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1495</td>\n",
       "      <td>2010-11</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>35.0</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>2156.0</td>\n",
       "      <td>419</td>\n",
       "      <td>...</td>\n",
       "      <td>0.716</td>\n",
       "      <td>169</td>\n",
       "      <td>509</td>\n",
       "      <td>678</td>\n",
       "      <td>203</td>\n",
       "      <td>50</td>\n",
       "      <td>146</td>\n",
       "      <td>122</td>\n",
       "      <td>119</td>\n",
       "      <td>1022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1495</td>\n",
       "      <td>2011-12</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>36.0</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>1634.0</td>\n",
       "      <td>361</td>\n",
       "      <td>...</td>\n",
       "      <td>0.695</td>\n",
       "      <td>110</td>\n",
       "      <td>410</td>\n",
       "      <td>520</td>\n",
       "      <td>132</td>\n",
       "      <td>38</td>\n",
       "      <td>88</td>\n",
       "      <td>97</td>\n",
       "      <td>98</td>\n",
       "      <td>895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1495</td>\n",
       "      <td>2012-13</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>37.0</td>\n",
       "      <td>69</td>\n",
       "      <td>69</td>\n",
       "      <td>2078.0</td>\n",
       "      <td>490</td>\n",
       "      <td>...</td>\n",
       "      <td>0.817</td>\n",
       "      <td>124</td>\n",
       "      <td>562</td>\n",
       "      <td>686</td>\n",
       "      <td>184</td>\n",
       "      <td>50</td>\n",
       "      <td>183</td>\n",
       "      <td>147</td>\n",
       "      <td>117</td>\n",
       "      <td>1227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1495</td>\n",
       "      <td>2013-14</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>38.0</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>2158.0</td>\n",
       "      <td>444</td>\n",
       "      <td>...</td>\n",
       "      <td>0.731</td>\n",
       "      <td>158</td>\n",
       "      <td>563</td>\n",
       "      <td>721</td>\n",
       "      <td>220</td>\n",
       "      <td>43</td>\n",
       "      <td>139</td>\n",
       "      <td>159</td>\n",
       "      <td>134</td>\n",
       "      <td>1119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1495</td>\n",
       "      <td>2014-15</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>39.0</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>2227.0</td>\n",
       "      <td>419</td>\n",
       "      <td>...</td>\n",
       "      <td>0.740</td>\n",
       "      <td>170</td>\n",
       "      <td>534</td>\n",
       "      <td>704</td>\n",
       "      <td>230</td>\n",
       "      <td>63</td>\n",
       "      <td>151</td>\n",
       "      <td>131</td>\n",
       "      <td>165</td>\n",
       "      <td>1070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1495</td>\n",
       "      <td>2015-16</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612759</td>\n",
       "      <td>SAS</td>\n",
       "      <td>40.0</td>\n",
       "      <td>61</td>\n",
       "      <td>60</td>\n",
       "      <td>1536.0</td>\n",
       "      <td>215</td>\n",
       "      <td>...</td>\n",
       "      <td>0.702</td>\n",
       "      <td>115</td>\n",
       "      <td>332</td>\n",
       "      <td>447</td>\n",
       "      <td>163</td>\n",
       "      <td>47</td>\n",
       "      <td>78</td>\n",
       "      <td>90</td>\n",
       "      <td>125</td>\n",
       "      <td>522</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    PLAYER_ID SEASON_ID LEAGUE_ID     TEAM_ID TEAM_ABBREVIATION  PLAYER_AGE  \\\n",
       "0        1495   1997-98        00  1610612759               SAS        22.0   \n",
       "1        1495   1998-99        00  1610612759               SAS        23.0   \n",
       "2        1495   1999-00        00  1610612759               SAS        24.0   \n",
       "3        1495   2000-01        00  1610612759               SAS        25.0   \n",
       "4        1495   2001-02        00  1610612759               SAS        26.0   \n",
       "5        1495   2002-03        00  1610612759               SAS        27.0   \n",
       "6        1495   2003-04        00  1610612759               SAS        28.0   \n",
       "7        1495   2004-05        00  1610612759               SAS        29.0   \n",
       "8        1495   2005-06        00  1610612759               SAS        30.0   \n",
       "9        1495   2006-07        00  1610612759               SAS        31.0   \n",
       "10       1495   2007-08        00  1610612759               SAS        32.0   \n",
       "11       1495   2008-09        00  1610612759               SAS        33.0   \n",
       "12       1495   2009-10        00  1610612759               SAS        34.0   \n",
       "13       1495   2010-11        00  1610612759               SAS        35.0   \n",
       "14       1495   2011-12        00  1610612759               SAS        36.0   \n",
       "15       1495   2012-13        00  1610612759               SAS        37.0   \n",
       "16       1495   2013-14        00  1610612759               SAS        38.0   \n",
       "17       1495   2014-15        00  1610612759               SAS        39.0   \n",
       "18       1495   2015-16        00  1610612759               SAS        40.0   \n",
       "\n",
       "    GP  GS     MIN  FGM  ...  FT_PCT  OREB  DREB   REB  AST  STL  BLK  TOV  \\\n",
       "0   82  82  3204.0  706  ...   0.662   274   703   977  224   55  206  279   \n",
       "1   50  50  1963.0  418  ...   0.690   159   412   571  121   45  126  146   \n",
       "2   74  74  2875.0  628  ...   0.761   262   656   918  234   66  165  242   \n",
       "3   82  82  3174.0  702  ...   0.618   259   738   997  245   70  192  242   \n",
       "4   82  82  3329.0  764  ...   0.799   268   774  1042  307   61  203  263   \n",
       "5   81  81  3181.0  714  ...   0.710   259   784  1043  316   55  237  248   \n",
       "6   69  68  2527.0  592  ...   0.599   227   632   859  213   62  185  183   \n",
       "7   66  66  2203.0  517  ...   0.670   202   530   732  179   45  174  127   \n",
       "8   80  80  2784.0  574  ...   0.629   231   650   881  253   70  162  198   \n",
       "9   80  80  2726.0  618  ...   0.637   213   633   846  273   66  190  224   \n",
       "10  78  78  2651.0  585  ...   0.730   237   644   881  218   56  152  178   \n",
       "11  75  75  2523.0  558  ...   0.692   201   599   800  264   38  126  165   \n",
       "12  78  77  2438.0  561  ...   0.725   221   567   788  246   45  117  140   \n",
       "13  76  76  2156.0  419  ...   0.716   169   509   678  203   50  146  122   \n",
       "14  58  58  1634.0  361  ...   0.695   110   410   520  132   38   88   97   \n",
       "15  69  69  2078.0  490  ...   0.817   124   562   686  184   50  183  147   \n",
       "16  74  74  2158.0  444  ...   0.731   158   563   721  220   43  139  159   \n",
       "17  77  77  2227.0  419  ...   0.740   170   534   704  230   63  151  131   \n",
       "18  61  60  1536.0  215  ...   0.702   115   332   447  163   47   78   90   \n",
       "\n",
       "     PF   PTS  \n",
       "0   254  1731  \n",
       "1   147  1084  \n",
       "2   210  1716  \n",
       "3   247  1820  \n",
       "4   217  2089  \n",
       "5   231  1884  \n",
       "6   164  1538  \n",
       "7   144  1342  \n",
       "8   219  1485  \n",
       "9   203  1599  \n",
       "10  185  1508  \n",
       "11  173  1450  \n",
       "12  152  1395  \n",
       "13  119  1022  \n",
       "14   98   895  \n",
       "15  117  1227  \n",
       "16  134  1119  \n",
       "17  165  1070  \n",
       "18  125   522  \n",
       "\n",
       "[19 rows x 27 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plotPlayerStats(timduncan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4fed296a",
   "metadata": {},
   "outputs": [],
   "source": [
    "goat = plotPlayerStats(getPlayerID(\"LaMelo Ball\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "5a54dc69",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_stats(goat,['GP'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a3d5b83d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#functions\n",
    "\"\"\"\n",
    "getPlayerID(\"LaMelo Ball\")\n",
    "plotPlayerStats(lamelo)\n",
    "plot_stats(goat,['GP'])\n",
    "\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "edce81fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotPts(player):\n",
    "    plot_stats(plotPlayerStats(getPlayerID(player)),['PTS'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "f595b915",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotPts(\"Carmelo Anthony\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "bb40895c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotCarStats(player):\n",
    "    plotPlayerStats(getPlayerID(player))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "7fd7d843",
   "metadata": {},
   "outputs": [],
   "source": [
    "cm = getPlayerID(\"Carmelo Anthony\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "8d0057b7",
   "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_ID</th>\n",
       "      <th>SEASON_ID</th>\n",
       "      <th>LEAGUE_ID</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_ABBREVIATION</th>\n",
       "      <th>PLAYER_AGE</th>\n",
       "      <th>GP</th>\n",
       "      <th>GS</th>\n",
       "      <th>MIN</th>\n",
       "      <th>FGM</th>\n",
       "      <th>...</th>\n",
       "      <th>FT_PCT</th>\n",
       "      <th>OREB</th>\n",
       "      <th>DREB</th>\n",
       "      <th>REB</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2546</td>\n",
       "      <td>2003-04</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>2994.0</td>\n",
       "      <td>624</td>\n",
       "      <td>...</td>\n",
       "      <td>0.777</td>\n",
       "      <td>183</td>\n",
       "      <td>315</td>\n",
       "      <td>498</td>\n",
       "      <td>227</td>\n",
       "      <td>97</td>\n",
       "      <td>41</td>\n",
       "      <td>247</td>\n",
       "      <td>225</td>\n",
       "      <td>1725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2546</td>\n",
       "      <td>2004-05</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>2608.0</td>\n",
       "      <td>530</td>\n",
       "      <td>...</td>\n",
       "      <td>0.796</td>\n",
       "      <td>141</td>\n",
       "      <td>285</td>\n",
       "      <td>426</td>\n",
       "      <td>194</td>\n",
       "      <td>68</td>\n",
       "      <td>30</td>\n",
       "      <td>224</td>\n",
       "      <td>229</td>\n",
       "      <td>1558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2546</td>\n",
       "      <td>2005-06</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>2941.0</td>\n",
       "      <td>756</td>\n",
       "      <td>...</td>\n",
       "      <td>0.808</td>\n",
       "      <td>122</td>\n",
       "      <td>272</td>\n",
       "      <td>394</td>\n",
       "      <td>216</td>\n",
       "      <td>88</td>\n",
       "      <td>42</td>\n",
       "      <td>218</td>\n",
       "      <td>229</td>\n",
       "      <td>2122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2546</td>\n",
       "      <td>2006-07</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>2486.0</td>\n",
       "      <td>691</td>\n",
       "      <td>...</td>\n",
       "      <td>0.808</td>\n",
       "      <td>143</td>\n",
       "      <td>248</td>\n",
       "      <td>391</td>\n",
       "      <td>249</td>\n",
       "      <td>77</td>\n",
       "      <td>23</td>\n",
       "      <td>234</td>\n",
       "      <td>203</td>\n",
       "      <td>1881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2546</td>\n",
       "      <td>2007-08</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>2806.0</td>\n",
       "      <td>728</td>\n",
       "      <td>...</td>\n",
       "      <td>0.786</td>\n",
       "      <td>178</td>\n",
       "      <td>393</td>\n",
       "      <td>571</td>\n",
       "      <td>259</td>\n",
       "      <td>98</td>\n",
       "      <td>39</td>\n",
       "      <td>253</td>\n",
       "      <td>253</td>\n",
       "      <td>1978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2546</td>\n",
       "      <td>2008-09</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>2277.0</td>\n",
       "      <td>535</td>\n",
       "      <td>...</td>\n",
       "      <td>0.793</td>\n",
       "      <td>106</td>\n",
       "      <td>344</td>\n",
       "      <td>450</td>\n",
       "      <td>222</td>\n",
       "      <td>75</td>\n",
       "      <td>24</td>\n",
       "      <td>199</td>\n",
       "      <td>195</td>\n",
       "      <td>1504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2546</td>\n",
       "      <td>2009-10</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612743</td>\n",
       "      <td>DEN</td>\n",
       "      <td>26.0</td>\n",
       "      <td>69</td>\n",
       "      <td>69</td>\n",
       "      <td>2634.0</td>\n",
       "      <td>688</td>\n",
       "      <td>...</td>\n",
       "      <td>0.830</td>\n",
       "      <td>152</td>\n",
       "      <td>302</td>\n",
       "      <td>454</td>\n",
       "      <td>222</td>\n",
       "      <td>88</td>\n",
       "      <td>30</td>\n",
       "      <td>209</td>\n",
       "      <td>225</td>\n",
       "      <td>1943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2546</td>\n",
       "      <td>2010-11</td>\n",
       "      <td>00</td>\n",
       "      <td>0</td>\n",
       "      <td>TOT</td>\n",
       "      <td>27.0</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>2751.0</td>\n",
       "      <td>684</td>\n",
       "      <td>...</td>\n",
       "      <td>0.838</td>\n",
       "      <td>118</td>\n",
       "      <td>445</td>\n",
       "      <td>563</td>\n",
       "      <td>221</td>\n",
       "      <td>68</td>\n",
       "      <td>46</td>\n",
       "      <td>206</td>\n",
       "      <td>224</td>\n",
       "      <td>1970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2546</td>\n",
       "      <td>2011-12</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612752</td>\n",
       "      <td>NYK</td>\n",
       "      <td>28.0</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>1876.0</td>\n",
       "      <td>441</td>\n",
       "      <td>...</td>\n",
       "      <td>0.804</td>\n",
       "      <td>88</td>\n",
       "      <td>256</td>\n",
       "      <td>344</td>\n",
       "      <td>200</td>\n",
       "      <td>62</td>\n",
       "      <td>24</td>\n",
       "      <td>144</td>\n",
       "      <td>156</td>\n",
       "      <td>1245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2546</td>\n",
       "      <td>2012-13</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612752</td>\n",
       "      <td>NYK</td>\n",
       "      <td>29.0</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>2482.0</td>\n",
       "      <td>669</td>\n",
       "      <td>...</td>\n",
       "      <td>0.830</td>\n",
       "      <td>134</td>\n",
       "      <td>326</td>\n",
       "      <td>460</td>\n",
       "      <td>171</td>\n",
       "      <td>52</td>\n",
       "      <td>32</td>\n",
       "      <td>175</td>\n",
       "      <td>205</td>\n",
       "      <td>1920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2546</td>\n",
       "      <td>2013-14</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612752</td>\n",
       "      <td>NYK</td>\n",
       "      <td>30.0</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>2982.0</td>\n",
       "      <td>743</td>\n",
       "      <td>...</td>\n",
       "      <td>0.848</td>\n",
       "      <td>145</td>\n",
       "      <td>477</td>\n",
       "      <td>622</td>\n",
       "      <td>242</td>\n",
       "      <td>95</td>\n",
       "      <td>51</td>\n",
       "      <td>198</td>\n",
       "      <td>224</td>\n",
       "      <td>2112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2546</td>\n",
       "      <td>2014-15</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612752</td>\n",
       "      <td>NYK</td>\n",
       "      <td>31.0</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>1428.0</td>\n",
       "      <td>358</td>\n",
       "      <td>...</td>\n",
       "      <td>0.797</td>\n",
       "      <td>72</td>\n",
       "      <td>192</td>\n",
       "      <td>264</td>\n",
       "      <td>122</td>\n",
       "      <td>40</td>\n",
       "      <td>17</td>\n",
       "      <td>89</td>\n",
       "      <td>87</td>\n",
       "      <td>966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2546</td>\n",
       "      <td>2015-16</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612752</td>\n",
       "      <td>NYK</td>\n",
       "      <td>32.0</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>2530.0</td>\n",
       "      <td>567</td>\n",
       "      <td>...</td>\n",
       "      <td>0.829</td>\n",
       "      <td>98</td>\n",
       "      <td>458</td>\n",
       "      <td>556</td>\n",
       "      <td>299</td>\n",
       "      <td>62</td>\n",
       "      <td>38</td>\n",
       "      <td>176</td>\n",
       "      <td>180</td>\n",
       "      <td>1573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2546</td>\n",
       "      <td>2016-17</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612752</td>\n",
       "      <td>NYK</td>\n",
       "      <td>33.0</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>2538.0</td>\n",
       "      <td>602</td>\n",
       "      <td>...</td>\n",
       "      <td>0.833</td>\n",
       "      <td>62</td>\n",
       "      <td>376</td>\n",
       "      <td>438</td>\n",
       "      <td>213</td>\n",
       "      <td>60</td>\n",
       "      <td>34</td>\n",
       "      <td>153</td>\n",
       "      <td>198</td>\n",
       "      <td>1659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2546</td>\n",
       "      <td>2017-18</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612760</td>\n",
       "      <td>OKC</td>\n",
       "      <td>34.0</td>\n",
       "      <td>78</td>\n",
       "      <td>78</td>\n",
       "      <td>2501.0</td>\n",
       "      <td>472</td>\n",
       "      <td>...</td>\n",
       "      <td>0.767</td>\n",
       "      <td>67</td>\n",
       "      <td>386</td>\n",
       "      <td>453</td>\n",
       "      <td>103</td>\n",
       "      <td>47</td>\n",
       "      <td>49</td>\n",
       "      <td>99</td>\n",
       "      <td>197</td>\n",
       "      <td>1261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2546</td>\n",
       "      <td>2018-19</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612745</td>\n",
       "      <td>HOU</td>\n",
       "      <td>35.0</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>294.0</td>\n",
       "      <td>49</td>\n",
       "      <td>...</td>\n",
       "      <td>0.682</td>\n",
       "      <td>9</td>\n",
       "      <td>45</td>\n",
       "      <td>54</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>32</td>\n",
       "      <td>134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2546</td>\n",
       "      <td>2019-20</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612757</td>\n",
       "      <td>POR</td>\n",
       "      <td>36.0</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>1902.0</td>\n",
       "      <td>336</td>\n",
       "      <td>...</td>\n",
       "      <td>0.845</td>\n",
       "      <td>71</td>\n",
       "      <td>297</td>\n",
       "      <td>368</td>\n",
       "      <td>85</td>\n",
       "      <td>49</td>\n",
       "      <td>27</td>\n",
       "      <td>100</td>\n",
       "      <td>171</td>\n",
       "      <td>895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2546</td>\n",
       "      <td>2020-21</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612757</td>\n",
       "      <td>POR</td>\n",
       "      <td>37.0</td>\n",
       "      <td>69</td>\n",
       "      <td>3</td>\n",
       "      <td>1690.0</td>\n",
       "      <td>327</td>\n",
       "      <td>...</td>\n",
       "      <td>0.890</td>\n",
       "      <td>32</td>\n",
       "      <td>182</td>\n",
       "      <td>214</td>\n",
       "      <td>104</td>\n",
       "      <td>46</td>\n",
       "      <td>38</td>\n",
       "      <td>61</td>\n",
       "      <td>144</td>\n",
       "      <td>924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2546</td>\n",
       "      <td>2021-22</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>LAL</td>\n",
       "      <td>38.0</td>\n",
       "      <td>69</td>\n",
       "      <td>3</td>\n",
       "      <td>1793.0</td>\n",
       "      <td>319</td>\n",
       "      <td>...</td>\n",
       "      <td>0.830</td>\n",
       "      <td>62</td>\n",
       "      <td>226</td>\n",
       "      <td>288</td>\n",
       "      <td>68</td>\n",
       "      <td>47</td>\n",
       "      <td>52</td>\n",
       "      <td>59</td>\n",
       "      <td>166</td>\n",
       "      <td>919</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    PLAYER_ID SEASON_ID LEAGUE_ID     TEAM_ID TEAM_ABBREVIATION  PLAYER_AGE  \\\n",
       "0        2546   2003-04        00  1610612743               DEN        20.0   \n",
       "1        2546   2004-05        00  1610612743               DEN        21.0   \n",
       "2        2546   2005-06        00  1610612743               DEN        22.0   \n",
       "3        2546   2006-07        00  1610612743               DEN        23.0   \n",
       "4        2546   2007-08        00  1610612743               DEN        24.0   \n",
       "5        2546   2008-09        00  1610612743               DEN        25.0   \n",
       "6        2546   2009-10        00  1610612743               DEN        26.0   \n",
       "9        2546   2010-11        00           0               TOT        27.0   \n",
       "10       2546   2011-12        00  1610612752               NYK        28.0   \n",
       "11       2546   2012-13        00  1610612752               NYK        29.0   \n",
       "12       2546   2013-14        00  1610612752               NYK        30.0   \n",
       "13       2546   2014-15        00  1610612752               NYK        31.0   \n",
       "14       2546   2015-16        00  1610612752               NYK        32.0   \n",
       "15       2546   2016-17        00  1610612752               NYK        33.0   \n",
       "16       2546   2017-18        00  1610612760               OKC        34.0   \n",
       "17       2546   2018-19        00  1610612745               HOU        35.0   \n",
       "18       2546   2019-20        00  1610612757               POR        36.0   \n",
       "19       2546   2020-21        00  1610612757               POR        37.0   \n",
       "20       2546   2021-22        00  1610612747               LAL        38.0   \n",
       "\n",
       "    GP  GS     MIN  FGM  ...  FT_PCT  OREB  DREB  REB  AST  STL  BLK  TOV  \\\n",
       "0   82  82  2994.0  624  ...   0.777   183   315  498  227   97   41  247   \n",
       "1   75  75  2608.0  530  ...   0.796   141   285  426  194   68   30  224   \n",
       "2   80  80  2941.0  756  ...   0.808   122   272  394  216   88   42  218   \n",
       "3   65  65  2486.0  691  ...   0.808   143   248  391  249   77   23  234   \n",
       "4   77  77  2806.0  728  ...   0.786   178   393  571  259   98   39  253   \n",
       "5   66  66  2277.0  535  ...   0.793   106   344  450  222   75   24  199   \n",
       "6   69  69  2634.0  688  ...   0.830   152   302  454  222   88   30  209   \n",
       "9   77  77  2751.0  684  ...   0.838   118   445  563  221   68   46  206   \n",
       "10  55  55  1876.0  441  ...   0.804    88   256  344  200   62   24  144   \n",
       "11  67  67  2482.0  669  ...   0.830   134   326  460  171   52   32  175   \n",
       "12  77  77  2982.0  743  ...   0.848   145   477  622  242   95   51  198   \n",
       "13  40  40  1428.0  358  ...   0.797    72   192  264  122   40   17   89   \n",
       "14  72  72  2530.0  567  ...   0.829    98   458  556  299   62   38  176   \n",
       "15  74  74  2538.0  602  ...   0.833    62   376  438  213   60   34  153   \n",
       "16  78  78  2501.0  472  ...   0.767    67   386  453  103   47   49   99   \n",
       "17  10   2   294.0   49  ...   0.682     9    45   54    5    4    7    8   \n",
       "18  58  58  1902.0  336  ...   0.845    71   297  368   85   49   27  100   \n",
       "19  69   3  1690.0  327  ...   0.890    32   182  214  104   46   38   61   \n",
       "20  69   3  1793.0  319  ...   0.830    62   226  288   68   47   52   59   \n",
       "\n",
       "     PF   PTS  \n",
       "0   225  1725  \n",
       "1   229  1558  \n",
       "2   229  2122  \n",
       "3   203  1881  \n",
       "4   253  1978  \n",
       "5   195  1504  \n",
       "6   225  1943  \n",
       "9   224  1970  \n",
       "10  156  1245  \n",
       "11  205  1920  \n",
       "12  224  2112  \n",
       "13   87   966  \n",
       "14  180  1573  \n",
       "15  198  1659  \n",
       "16  197  1261  \n",
       "17   32   134  \n",
       "18  171   895  \n",
       "19  144   924  \n",
       "20  166   919  \n",
       "\n",
       "[19 rows x 27 columns]"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carm = plotPlayerStats(cm)\n",
    "\n",
    "carm_tot = carm[carm['TEAM_ABBREVIATION'] == 'TOT']\n",
    "\n",
    "#carm_tot\n",
    "\n",
    "c = carm.duplicated(subset=['SEASON_ID'], keep=False)\n",
    "out = carm[~c]\n",
    "out_tot = pd.concat([carm_tot, out])\n",
    "out_tot.sort_values(by=['SEASON_ID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "5dedd6de",
   "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_ID</th>\n",
       "      <th>SEASON_ID</th>\n",
       "      <th>LEAGUE_ID</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_ABBREVIATION</th>\n",
       "      <th>PLAYER_AGE</th>\n",
       "      <th>GP</th>\n",
       "      <th>GS</th>\n",
       "      <th>MIN</th>\n",
       "      <th>FGM</th>\n",
       "      <th>...</th>\n",
       "      <th>FT_PCT</th>\n",
       "      <th>OREB</th>\n",
       "      <th>DREB</th>\n",
       "      <th>REB</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>78049</td>\n",
       "      <td>1956-57</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>23.0</td>\n",
       "      <td>48</td>\n",
       "      <td>None</td>\n",
       "      <td>1695.0</td>\n",
       "      <td>277</td>\n",
       "      <td>...</td>\n",
       "      <td>0.492</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>943</td>\n",
       "      <td>88</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>143</td>\n",
       "      <td>706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>78049</td>\n",
       "      <td>1957-58</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>24.0</td>\n",
       "      <td>69</td>\n",
       "      <td>None</td>\n",
       "      <td>2640.0</td>\n",
       "      <td>456</td>\n",
       "      <td>...</td>\n",
       "      <td>0.519</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1564</td>\n",
       "      <td>202</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>181</td>\n",
       "      <td>1142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>78049</td>\n",
       "      <td>1958-59</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>25.0</td>\n",
       "      <td>70</td>\n",
       "      <td>None</td>\n",
       "      <td>2979.0</td>\n",
       "      <td>456</td>\n",
       "      <td>...</td>\n",
       "      <td>0.598</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1612</td>\n",
       "      <td>222</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>161</td>\n",
       "      <td>1168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>78049</td>\n",
       "      <td>1959-60</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>26.0</td>\n",
       "      <td>74</td>\n",
       "      <td>None</td>\n",
       "      <td>3146.0</td>\n",
       "      <td>555</td>\n",
       "      <td>...</td>\n",
       "      <td>0.612</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1778</td>\n",
       "      <td>277</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>210</td>\n",
       "      <td>1350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>78049</td>\n",
       "      <td>1960-61</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>27.0</td>\n",
       "      <td>78</td>\n",
       "      <td>None</td>\n",
       "      <td>3458.0</td>\n",
       "      <td>532</td>\n",
       "      <td>...</td>\n",
       "      <td>0.550</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1868</td>\n",
       "      <td>268</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>155</td>\n",
       "      <td>1322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>78049</td>\n",
       "      <td>1961-62</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>28.0</td>\n",
       "      <td>76</td>\n",
       "      <td>None</td>\n",
       "      <td>3433.0</td>\n",
       "      <td>575</td>\n",
       "      <td>...</td>\n",
       "      <td>0.595</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1790</td>\n",
       "      <td>341</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>207</td>\n",
       "      <td>1436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>78049</td>\n",
       "      <td>1962-63</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>29.0</td>\n",
       "      <td>78</td>\n",
       "      <td>None</td>\n",
       "      <td>3500.0</td>\n",
       "      <td>511</td>\n",
       "      <td>...</td>\n",
       "      <td>0.555</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1843</td>\n",
       "      <td>348</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>189</td>\n",
       "      <td>1309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>78049</td>\n",
       "      <td>1963-64</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>30.0</td>\n",
       "      <td>78</td>\n",
       "      <td>None</td>\n",
       "      <td>3482.0</td>\n",
       "      <td>466</td>\n",
       "      <td>...</td>\n",
       "      <td>0.550</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1930</td>\n",
       "      <td>370</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>190</td>\n",
       "      <td>1168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>78049</td>\n",
       "      <td>1964-65</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>31.0</td>\n",
       "      <td>78</td>\n",
       "      <td>None</td>\n",
       "      <td>3466.0</td>\n",
       "      <td>429</td>\n",
       "      <td>...</td>\n",
       "      <td>0.573</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1878</td>\n",
       "      <td>410</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>204</td>\n",
       "      <td>1102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>78049</td>\n",
       "      <td>1965-66</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>32.0</td>\n",
       "      <td>78</td>\n",
       "      <td>None</td>\n",
       "      <td>3386.0</td>\n",
       "      <td>391</td>\n",
       "      <td>...</td>\n",
       "      <td>0.551</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1779</td>\n",
       "      <td>371</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>221</td>\n",
       "      <td>1005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>78049</td>\n",
       "      <td>1966-67</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>33.0</td>\n",
       "      <td>81</td>\n",
       "      <td>None</td>\n",
       "      <td>3297.0</td>\n",
       "      <td>395</td>\n",
       "      <td>...</td>\n",
       "      <td>0.610</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1700</td>\n",
       "      <td>472</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>258</td>\n",
       "      <td>1075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>78049</td>\n",
       "      <td>1967-68</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>34.0</td>\n",
       "      <td>78</td>\n",
       "      <td>None</td>\n",
       "      <td>2953.0</td>\n",
       "      <td>365</td>\n",
       "      <td>...</td>\n",
       "      <td>0.537</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1451</td>\n",
       "      <td>357</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>242</td>\n",
       "      <td>977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>78049</td>\n",
       "      <td>1968-69</td>\n",
       "      <td>00</td>\n",
       "      <td>1610612738</td>\n",
       "      <td>BOS</td>\n",
       "      <td>35.0</td>\n",
       "      <td>77</td>\n",
       "      <td>None</td>\n",
       "      <td>3291.0</td>\n",
       "      <td>279</td>\n",
       "      <td>...</td>\n",
       "      <td>0.526</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1484</td>\n",
       "      <td>374</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>231</td>\n",
       "      <td>762</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>13 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    PLAYER_ID SEASON_ID LEAGUE_ID     TEAM_ID TEAM_ABBREVIATION  PLAYER_AGE  \\\n",
       "0       78049   1956-57        00  1610612738               BOS        23.0   \n",
       "1       78049   1957-58        00  1610612738               BOS        24.0   \n",
       "2       78049   1958-59        00  1610612738               BOS        25.0   \n",
       "3       78049   1959-60        00  1610612738               BOS        26.0   \n",
       "4       78049   1960-61        00  1610612738               BOS        27.0   \n",
       "5       78049   1961-62        00  1610612738               BOS        28.0   \n",
       "6       78049   1962-63        00  1610612738               BOS        29.0   \n",
       "7       78049   1963-64        00  1610612738               BOS        30.0   \n",
       "8       78049   1964-65        00  1610612738               BOS        31.0   \n",
       "9       78049   1965-66        00  1610612738               BOS        32.0   \n",
       "10      78049   1966-67        00  1610612738               BOS        33.0   \n",
       "11      78049   1967-68        00  1610612738               BOS        34.0   \n",
       "12      78049   1968-69        00  1610612738               BOS        35.0   \n",
       "\n",
       "    GP    GS     MIN  FGM  ...  FT_PCT  OREB  DREB   REB  AST   STL   BLK  \\\n",
       "0   48  None  1695.0  277  ...   0.492  None  None   943   88  None  None   \n",
       "1   69  None  2640.0  456  ...   0.519  None  None  1564  202  None  None   \n",
       "2   70  None  2979.0  456  ...   0.598  None  None  1612  222  None  None   \n",
       "3   74  None  3146.0  555  ...   0.612  None  None  1778  277  None  None   \n",
       "4   78  None  3458.0  532  ...   0.550  None  None  1868  268  None  None   \n",
       "5   76  None  3433.0  575  ...   0.595  None  None  1790  341  None  None   \n",
       "6   78  None  3500.0  511  ...   0.555  None  None  1843  348  None  None   \n",
       "7   78  None  3482.0  466  ...   0.550  None  None  1930  370  None  None   \n",
       "8   78  None  3466.0  429  ...   0.573  None  None  1878  410  None  None   \n",
       "9   78  None  3386.0  391  ...   0.551  None  None  1779  371  None  None   \n",
       "10  81  None  3297.0  395  ...   0.610  None  None  1700  472  None  None   \n",
       "11  78  None  2953.0  365  ...   0.537  None  None  1451  357  None  None   \n",
       "12  77  None  3291.0  279  ...   0.526  None  None  1484  374  None  None   \n",
       "\n",
       "     TOV   PF   PTS  \n",
       "0   None  143   706  \n",
       "1   None  181  1142  \n",
       "2   None  161  1168  \n",
       "3   None  210  1350  \n",
       "4   None  155  1322  \n",
       "5   None  207  1436  \n",
       "6   None  189  1309  \n",
       "7   None  190  1168  \n",
       "8   None  204  1102  \n",
       "9   None  221  1005  \n",
       "10  None  258  1075  \n",
       "11  None  242   977  \n",
       "12  None  231   762  \n",
       "\n",
       "[13 rows x 27 columns]"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Bill Russell\n",
    "six = getPlayerID(\"Bill Russell\")\n",
    "six = plotPlayerStats(six)\n",
    "six_drop = six.drop_duplicates()\n",
    "six_tot = six_drop[six_drop['TEAM_ABBREVIATION'] == 'TOT']\n",
    "six_dup = six_drop.duplicated(subset=['SEASON_ID'], keep=False)\n",
    "out = six[~six_dup]\n",
    "out_tot = pd.concat([out,six_tot])\n",
    "\n",
    "#out_tot.sort_values(by=['SEASON_ID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "37c88aed",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cleanCarData(name):\n",
    "    player = getPlayerID(name)\n",
    "    player = plotPlayerStats(player)\n",
    "    player_drop = player.drop_duplicates()\n",
    "    player_tot = player_drop[player_drop['TEAM_ABBREVIATION'] == 'TOT']\n",
    "    player_dup = player_drop.duplicated(subset=['SEASON_ID'], keep=False)\n",
    "    out = player[~player_dup]\n",
    "    out_tot = pd.concat([out,player_tot])\n",
    "    return out_tot.sort_values(by=['SEASON_ID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "2409b268",
   "metadata": {},
   "outputs": [],
   "source": [
    "pb = cleanCarData(\"Patrick Beverley\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "c63d4fa1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plotPAR(player):\n",
    "    plot_stats(player,['PTS','AST','REB'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "39362da2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotPAR(pb)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}