nba_draft.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from datetime import datetime, timedelta\n",
    "from pprint import pprint\n",
    "import requests\n",
    "import json\n",
    "\n",
    "pd.options.display.max_columns = 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'0.20.1'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from scoreboard import Scoreboard\n",
    "from nba_util import _api_scrape\n",
    "from nba_util import get_all_player_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_players = get_all_player_ids()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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",
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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>PERSON_ID</th>\n",
       "      <th>DISPLAY_LAST_COMMA_FIRST</th>\n",
       "      <th>DISPLAY_FIRST_LAST</th>\n",
       "      <th>ROSTERSTATUS</th>\n",
       "      <th>FROM_YEAR</th>\n",
       "      <th>TO_YEAR</th>\n",
       "      <th>PLAYERCODE</th>\n",
       "      <th>TEAM_ID</th>\n",
       "      <th>TEAM_CITY</th>\n",
       "      <th>TEAM_NAME</th>\n",
       "      <th>TEAM_ABBREVIATION</th>\n",
       "      <th>TEAM_CODE</th>\n",
       "      <th>GAMES_PLAYED_FLAG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>76001</td>\n",
       "      <td>Abdelnaby, Alaa</td>\n",
       "      <td>Alaa Abdelnaby</td>\n",
       "      <td>0</td>\n",
       "      <td>1990</td>\n",
       "      <td>1994</td>\n",
       "      <td>HISTADD_alaa_abdelnaby</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
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       "      <td>Y</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76002</td>\n",
       "      <td>Abdul-Aziz, Zaid</td>\n",
       "      <td>Zaid Abdul-Aziz</td>\n",
       "      <td>0</td>\n",
       "      <td>1968</td>\n",
       "      <td>1977</td>\n",
       "      <td>HISTADD_zaid_abdul-aziz</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>76003</td>\n",
       "      <td>Abdul-Jabbar, Kareem</td>\n",
       "      <td>Kareem Abdul-Jabbar</td>\n",
       "      <td>0</td>\n",
       "      <td>1969</td>\n",
       "      <td>1988</td>\n",
       "      <td>HISTADD_kareem_abdul-jabbar</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>51</td>\n",
       "      <td>Abdul-Rauf, Mahmoud</td>\n",
       "      <td>Mahmoud Abdul-Rauf</td>\n",
       "      <td>0</td>\n",
       "      <td>1990</td>\n",
       "      <td>2000</td>\n",
       "      <td>mahmoud_abdul-rauf</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1505</td>\n",
       "      <td>Abdul-Wahad, Tariq</td>\n",
       "      <td>Tariq Abdul-Wahad</td>\n",
       "      <td>0</td>\n",
       "      <td>1997</td>\n",
       "      <td>2003</td>\n",
       "      <td>tariq_abdul-wahad</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>949</td>\n",
       "      <td>Abdur-Rahim, Shareef</td>\n",
       "      <td>Shareef Abdur-Rahim</td>\n",
       "      <td>0</td>\n",
       "      <td>1996</td>\n",
       "      <td>2007</td>\n",
       "      <td>shareef_abdur-rahim</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>76005</td>\n",
       "      <td>Abernethy, Tom</td>\n",
       "      <td>Tom Abernethy</td>\n",
       "      <td>0</td>\n",
       "      <td>1976</td>\n",
       "      <td>1980</td>\n",
       "      <td>HISTADD_tom_abernethy</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>76006</td>\n",
       "      <td>Able, Forest</td>\n",
       "      <td>Forest Able</td>\n",
       "      <td>0</td>\n",
       "      <td>1956</td>\n",
       "      <td>1956</td>\n",
       "      <td>HISTADD_frosty_able</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>76007</td>\n",
       "      <td>Abramovic, John</td>\n",
       "      <td>John Abramovic</td>\n",
       "      <td>0</td>\n",
       "      <td>1946</td>\n",
       "      <td>1947</td>\n",
       "      <td>HISTADD_brooms_abramovic</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>203518</td>\n",
       "      <td>Abrines, Alex</td>\n",
       "      <td>Alex Abrines</td>\n",
       "      <td>1</td>\n",
       "      <td>2016</td>\n",
       "      <td>2018</td>\n",
       "      <td>alex_abrines</td>\n",
       "      <td>1610612760</td>\n",
       "      <td>Oklahoma City</td>\n",
       "      <td>Thunder</td>\n",
       "      <td>OKC</td>\n",
       "      <td>thunder</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>101165</td>\n",
       "      <td>Acker, Alex</td>\n",
       "      <td>Alex Acker</td>\n",
       "      <td>0</td>\n",
       "      <td>2005</td>\n",
       "      <td>2008</td>\n",
       "      <td>alex_acker</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>76008</td>\n",
       "      <td>Ackerman, Donald</td>\n",
       "      <td>Donald Ackerman</td>\n",
       "      <td>0</td>\n",
       "      <td>1953</td>\n",
       "      <td>1953</td>\n",
       "      <td>HISTADD_buddy_ackerman</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>76009</td>\n",
       "      <td>Acres, Mark</td>\n",
       "      <td>Mark Acres</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>1992</td>\n",
       "      <td>HISTADD_mark_acres</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>76010</td>\n",
       "      <td>Acton, Charles</td>\n",
       "      <td>Charles Acton</td>\n",
       "      <td>0</td>\n",
       "      <td>1967</td>\n",
       "      <td>1967</td>\n",
       "      <td>HISTADD_bud_acton</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>203112</td>\n",
       "      <td>Acy, Quincy</td>\n",
       "      <td>Quincy Acy</td>\n",
       "      <td>0</td>\n",
       "      <td>2012</td>\n",
       "      <td>2017</td>\n",
       "      <td>quincy_acy</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>76011</td>\n",
       "      <td>Adams, Alvan</td>\n",
       "      <td>Alvan Adams</td>\n",
       "      <td>0</td>\n",
       "      <td>1975</td>\n",
       "      <td>1987</td>\n",
       "      <td>HISTADD_alvan_adams</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>76012</td>\n",
       "      <td>Adams, Don</td>\n",
       "      <td>Don Adams</td>\n",
       "      <td>0</td>\n",
       "      <td>1970</td>\n",
       "      <td>1976</td>\n",
       "      <td>HISTADD_don_adams</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>200801</td>\n",
       "      <td>Adams, Hassan</td>\n",
       "      <td>Hassan Adams</td>\n",
       "      <td>0</td>\n",
       "      <td>2006</td>\n",
       "      <td>2008</td>\n",
       "      <td>hassan_adams</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1629121</td>\n",
       "      <td>Adams, Jaylen</td>\n",
       "      <td>Jaylen Adams</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>jaylen_adams</td>\n",
       "      <td>1610612737</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>Hawks</td>\n",
       "      <td>ATL</td>\n",
       "      <td>hawks</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>203919</td>\n",
       "      <td>Adams, Jordan</td>\n",
       "      <td>Jordan Adams</td>\n",
       "      <td>0</td>\n",
       "      <td>2014</td>\n",
       "      <td>2015</td>\n",
       "      <td>jordan_adams</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>149</td>\n",
       "      <td>Adams, Michael</td>\n",
       "      <td>Michael Adams</td>\n",
       "      <td>0</td>\n",
       "      <td>1985</td>\n",
       "      <td>1995</td>\n",
       "      <td>michael_adams</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>203500</td>\n",
       "      <td>Adams, Steven</td>\n",
       "      <td>Steven Adams</td>\n",
       "      <td>1</td>\n",
       "      <td>2013</td>\n",
       "      <td>2018</td>\n",
       "      <td>steven_adams</td>\n",
       "      <td>1610612760</td>\n",
       "      <td>Oklahoma City</td>\n",
       "      <td>Thunder</td>\n",
       "      <td>OKC</td>\n",
       "      <td>thunder</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>912</td>\n",
       "      <td>Addison, Rafael</td>\n",
       "      <td>Rafael Addison</td>\n",
       "      <td>0</td>\n",
       "      <td>1986</td>\n",
       "      <td>1996</td>\n",
       "      <td>rafael_addison</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1628389</td>\n",
       "      <td>Adebayo, Bam</td>\n",
       "      <td>Bam Adebayo</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>2018</td>\n",
       "      <td>bam_adebayo</td>\n",
       "      <td>1610612748</td>\n",
       "      <td>Miami</td>\n",
       "      <td>Heat</td>\n",
       "      <td>MIA</td>\n",
       "      <td>heat</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>76015</td>\n",
       "      <td>Adelman, Rick</td>\n",
       "      <td>Rick Adelman</td>\n",
       "      <td>0</td>\n",
       "      <td>1968</td>\n",
       "      <td>1974</td>\n",
       "      <td>HISTADD_rick_adelman</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>202399</td>\n",
       "      <td>Adrien, Jeff</td>\n",
       "      <td>Jeff Adrien</td>\n",
       "      <td>0</td>\n",
       "      <td>2010</td>\n",
       "      <td>2014</td>\n",
       "      <td>jeff_adrien</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>201167</td>\n",
       "      <td>Afflalo, Arron</td>\n",
       "      <td>Arron Afflalo</td>\n",
       "      <td>0</td>\n",
       "      <td>2007</td>\n",
       "      <td>2017</td>\n",
       "      <td>arron_afflalo</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>200772</td>\n",
       "      <td>Ager, Maurice</td>\n",
       "      <td>Maurice Ager</td>\n",
       "      <td>0</td>\n",
       "      <td>2006</td>\n",
       "      <td>2010</td>\n",
       "      <td>maurice_ager</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>76016</td>\n",
       "      <td>Aguirre, Mark</td>\n",
       "      <td>Mark Aguirre</td>\n",
       "      <td>0</td>\n",
       "      <td>1981</td>\n",
       "      <td>1993</td>\n",
       "      <td>HISTADD_mark_aguirre</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>201336</td>\n",
       "      <td>Ahearn, Blake</td>\n",
       "      <td>Blake Ahearn</td>\n",
       "      <td>0</td>\n",
       "      <td>2007</td>\n",
       "      <td>2011</td>\n",
       "      <td>blake_ahearn</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</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",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4340</th>\n",
       "      <td>203923</td>\n",
       "      <td>Young, James</td>\n",
       "      <td>James Young</td>\n",
       "      <td>0</td>\n",
       "      <td>2014</td>\n",
       "      <td>2017</td>\n",
       "      <td>james_young</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4341</th>\n",
       "      <td>1626202</td>\n",
       "      <td>Young, Joe</td>\n",
       "      <td>Joe Young</td>\n",
       "      <td>0</td>\n",
       "      <td>2015</td>\n",
       "      <td>2017</td>\n",
       "      <td>joe_young</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4342</th>\n",
       "      <td>1748</td>\n",
       "      <td>Young, Korleone</td>\n",
       "      <td>Korleone Young</td>\n",
       "      <td>0</td>\n",
       "      <td>1998</td>\n",
       "      <td>1998</td>\n",
       "      <td>korleone_young</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4343</th>\n",
       "      <td>78634</td>\n",
       "      <td>Young, Michael</td>\n",
       "      <td>Michael Young</td>\n",
       "      <td>0</td>\n",
       "      <td>1984</td>\n",
       "      <td>1989</td>\n",
       "      <td>HISTADD_michael_young</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4344</th>\n",
       "      <td>201156</td>\n",
       "      <td>Young, Nick</td>\n",
       "      <td>Nick Young</td>\n",
       "      <td>0</td>\n",
       "      <td>2007</td>\n",
       "      <td>2017</td>\n",
       "      <td>nick_young</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4345</th>\n",
       "      <td>78635</td>\n",
       "      <td>Young, Perry</td>\n",
       "      <td>Perry Young</td>\n",
       "      <td>0</td>\n",
       "      <td>1986</td>\n",
       "      <td>1986</td>\n",
       "      <td>HISTADD_perry_young</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4346</th>\n",
       "      <td>201970</td>\n",
       "      <td>Young, Sam</td>\n",
       "      <td>Sam Young</td>\n",
       "      <td>0</td>\n",
       "      <td>2009</td>\n",
       "      <td>2012</td>\n",
       "      <td>sam_young</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4347</th>\n",
       "      <td>201152</td>\n",
       "      <td>Young, Thaddeus</td>\n",
       "      <td>Thaddeus Young</td>\n",
       "      <td>1</td>\n",
       "      <td>2007</td>\n",
       "      <td>2018</td>\n",
       "      <td>thaddeus_young</td>\n",
       "      <td>1610612754</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>Pacers</td>\n",
       "      <td>IND</td>\n",
       "      <td>pacers</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4348</th>\n",
       "      <td>1937</td>\n",
       "      <td>Young, Tim</td>\n",
       "      <td>Tim Young</td>\n",
       "      <td>0</td>\n",
       "      <td>1999</td>\n",
       "      <td>1999</td>\n",
       "      <td>tim_young</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4349</th>\n",
       "      <td>1629027</td>\n",
       "      <td>Young, Trae</td>\n",
       "      <td>Trae Young</td>\n",
       "      <td>1</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018</td>\n",
       "      <td>trae_young</td>\n",
       "      <td>1610612737</td>\n",
       "      <td>Atlanta</td>\n",
       "      <td>Hawks</td>\n",
       "      <td>ATL</td>\n",
       "      <td>hawks</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4350</th>\n",
       "      <td>78638</td>\n",
       "      <td>Zaslofsky, Max</td>\n",
       "      <td>Max Zaslofsky</td>\n",
       "      <td>0</td>\n",
       "      <td>1946</td>\n",
       "      <td>1955</td>\n",
       "      <td>HISTADD_slats_zaslofsky</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4351</th>\n",
       "      <td>78639</td>\n",
       "      <td>Zawoluk, Robert</td>\n",
       "      <td>Robert Zawoluk</td>\n",
       "      <td>0</td>\n",
       "      <td>1952</td>\n",
       "      <td>1954</td>\n",
       "      <td>HISTADD_zeke_zawoluk</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4352</th>\n",
       "      <td>203469</td>\n",
       "      <td>Zeller, Cody</td>\n",
       "      <td>Cody Zeller</td>\n",
       "      <td>1</td>\n",
       "      <td>2013</td>\n",
       "      <td>2018</td>\n",
       "      <td>cody_zeller</td>\n",
       "      <td>1610612766</td>\n",
       "      <td>Charlotte</td>\n",
       "      <td>Hornets</td>\n",
       "      <td>CHA</td>\n",
       "      <td>hornets</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4353</th>\n",
       "      <td>78640</td>\n",
       "      <td>Zeller, Dave</td>\n",
       "      <td>Dave Zeller</td>\n",
       "      <td>0</td>\n",
       "      <td>1961</td>\n",
       "      <td>1961</td>\n",
       "      <td>HISTADD_dave_zeller</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4354</th>\n",
       "      <td>78641</td>\n",
       "      <td>Zeller, Gary</td>\n",
       "      <td>Gary Zeller</td>\n",
       "      <td>0</td>\n",
       "      <td>1970</td>\n",
       "      <td>1971</td>\n",
       "      <td>HISTADD_gary_zeller</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4355</th>\n",
       "      <td>78642</td>\n",
       "      <td>Zeller, Hank</td>\n",
       "      <td>Hank Zeller</td>\n",
       "      <td>0</td>\n",
       "      <td>1946</td>\n",
       "      <td>1946</td>\n",
       "      <td>HISTADD_hank_zeller</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4356</th>\n",
       "      <td>202545</td>\n",
       "      <td>Zeller, Luke</td>\n",
       "      <td>Luke Zeller</td>\n",
       "      <td>0</td>\n",
       "      <td>2012</td>\n",
       "      <td>2012</td>\n",
       "      <td>luke_zeller</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4357</th>\n",
       "      <td>203092</td>\n",
       "      <td>Zeller, Tyler</td>\n",
       "      <td>Tyler Zeller</td>\n",
       "      <td>0</td>\n",
       "      <td>2012</td>\n",
       "      <td>2017</td>\n",
       "      <td>tyler_zeller</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4358</th>\n",
       "      <td>78643</td>\n",
       "      <td>Zeno, Tony</td>\n",
       "      <td>Tony Zeno</td>\n",
       "      <td>0</td>\n",
       "      <td>1979</td>\n",
       "      <td>1979</td>\n",
       "      <td>HISTADD_tony_zeno</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4359</th>\n",
       "      <td>78644</td>\n",
       "      <td>Zevenbergen, Phil</td>\n",
       "      <td>Phil Zevenbergen</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>1987</td>\n",
       "      <td>HISTADD_phil_zevenbergen</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4360</th>\n",
       "      <td>1917</td>\n",
       "      <td>Zhi-zhi, Wang</td>\n",
       "      <td>Wang Zhi-zhi</td>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "      <td>2004</td>\n",
       "      <td>wang_zhi-zhi</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4361</th>\n",
       "      <td>678</td>\n",
       "      <td>Zidek, George</td>\n",
       "      <td>George Zidek</td>\n",
       "      <td>0</td>\n",
       "      <td>1995</td>\n",
       "      <td>1997</td>\n",
       "      <td>george_zidek</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4362</th>\n",
       "      <td>2583</td>\n",
       "      <td>Zimmerman, Derrick</td>\n",
       "      <td>Derrick Zimmerman</td>\n",
       "      <td>0</td>\n",
       "      <td>2005</td>\n",
       "      <td>2005</td>\n",
       "      <td>derrick_zimmerman</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4363</th>\n",
       "      <td>1627757</td>\n",
       "      <td>Zimmerman, Stephen</td>\n",
       "      <td>Stephen Zimmerman</td>\n",
       "      <td>0</td>\n",
       "      <td>2016</td>\n",
       "      <td>2016</td>\n",
       "      <td>stephen_zimmerman</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4364</th>\n",
       "      <td>1627835</td>\n",
       "      <td>Zipser, Paul</td>\n",
       "      <td>Paul Zipser</td>\n",
       "      <td>0</td>\n",
       "      <td>2016</td>\n",
       "      <td>2017</td>\n",
       "      <td>paul_zipser</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4365</th>\n",
       "      <td>1627790</td>\n",
       "      <td>Zizic, Ante</td>\n",
       "      <td>Ante Zizic</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>2018</td>\n",
       "      <td>ante_zizic</td>\n",
       "      <td>1610612739</td>\n",
       "      <td>Cleveland</td>\n",
       "      <td>Cavaliers</td>\n",
       "      <td>CLE</td>\n",
       "      <td>cavaliers</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4366</th>\n",
       "      <td>78647</td>\n",
       "      <td>Zoet, Jim</td>\n",
       "      <td>Jim Zoet</td>\n",
       "      <td>0</td>\n",
       "      <td>1982</td>\n",
       "      <td>1982</td>\n",
       "      <td>HISTADD_jim_zoet</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4367</th>\n",
       "      <td>78648</td>\n",
       "      <td>Zopf, Bill</td>\n",
       "      <td>Bill Zopf</td>\n",
       "      <td>0</td>\n",
       "      <td>1970</td>\n",
       "      <td>1970</td>\n",
       "      <td>HISTADD_zip_zopf</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4368</th>\n",
       "      <td>1627826</td>\n",
       "      <td>Zubac, Ivica</td>\n",
       "      <td>Ivica Zubac</td>\n",
       "      <td>1</td>\n",
       "      <td>2016</td>\n",
       "      <td>2018</td>\n",
       "      <td>ivica_zubac</td>\n",
       "      <td>1610612747</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>Lakers</td>\n",
       "      <td>LAL</td>\n",
       "      <td>lakers</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4369</th>\n",
       "      <td>78650</td>\n",
       "      <td>Zunic, Matt</td>\n",
       "      <td>Matt Zunic</td>\n",
       "      <td>0</td>\n",
       "      <td>1948</td>\n",
       "      <td>1948</td>\n",
       "      <td>HISTADD_matt_zunic</td>\n",
       "      <td>0</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4370 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      PERSON_ID DISPLAY_LAST_COMMA_FIRST   DISPLAY_FIRST_LAST  ROSTERSTATUS  \\\n",
       "0         76001          Abdelnaby, Alaa       Alaa Abdelnaby             0   \n",
       "1         76002         Abdul-Aziz, Zaid      Zaid Abdul-Aziz             0   \n",
       "2         76003     Abdul-Jabbar, Kareem  Kareem Abdul-Jabbar             0   \n",
       "3            51      Abdul-Rauf, Mahmoud   Mahmoud Abdul-Rauf             0   \n",
       "4          1505       Abdul-Wahad, Tariq    Tariq Abdul-Wahad             0   \n",
       "5           949     Abdur-Rahim, Shareef  Shareef Abdur-Rahim             0   \n",
       "6         76005           Abernethy, Tom        Tom Abernethy             0   \n",
       "7         76006             Able, Forest          Forest Able             0   \n",
       "8         76007          Abramovic, John       John Abramovic             0   \n",
       "9        203518            Abrines, Alex         Alex Abrines             1   \n",
       "10       101165              Acker, Alex           Alex Acker             0   \n",
       "11        76008         Ackerman, Donald      Donald Ackerman             0   \n",
       "12        76009              Acres, Mark           Mark Acres             0   \n",
       "13        76010           Acton, Charles        Charles Acton             0   \n",
       "14       203112              Acy, Quincy           Quincy Acy             0   \n",
       "15        76011             Adams, Alvan          Alvan Adams             0   \n",
       "16        76012               Adams, Don            Don Adams             0   \n",
       "17       200801            Adams, Hassan         Hassan Adams             0   \n",
       "18      1629121            Adams, Jaylen         Jaylen Adams             1   \n",
       "19       203919            Adams, Jordan         Jordan Adams             0   \n",
       "20          149           Adams, Michael        Michael Adams             0   \n",
       "21       203500            Adams, Steven         Steven Adams             1   \n",
       "22          912          Addison, Rafael       Rafael Addison             0   \n",
       "23      1628389             Adebayo, Bam          Bam Adebayo             1   \n",
       "24        76015            Adelman, Rick         Rick Adelman             0   \n",
       "25       202399             Adrien, Jeff          Jeff Adrien             0   \n",
       "26       201167           Afflalo, Arron        Arron Afflalo             0   \n",
       "27       200772            Ager, Maurice         Maurice Ager             0   \n",
       "28        76016            Aguirre, Mark         Mark Aguirre             0   \n",
       "29       201336            Ahearn, Blake         Blake Ahearn             0   \n",
       "...         ...                      ...                  ...           ...   \n",
       "4340     203923             Young, James          James Young             0   \n",
       "4341    1626202               Young, Joe            Joe Young             0   \n",
       "4342       1748          Young, Korleone       Korleone Young             0   \n",
       "4343      78634           Young, Michael        Michael Young             0   \n",
       "4344     201156              Young, Nick           Nick Young             0   \n",
       "4345      78635             Young, Perry          Perry Young             0   \n",
       "4346     201970               Young, Sam            Sam Young             0   \n",
       "4347     201152          Young, Thaddeus       Thaddeus Young             1   \n",
       "4348       1937               Young, Tim            Tim Young             0   \n",
       "4349    1629027              Young, Trae           Trae Young             1   \n",
       "4350      78638           Zaslofsky, Max        Max Zaslofsky             0   \n",
       "4351      78639          Zawoluk, Robert       Robert Zawoluk             0   \n",
       "4352     203469             Zeller, Cody          Cody Zeller             1   \n",
       "4353      78640             Zeller, Dave          Dave Zeller             0   \n",
       "4354      78641             Zeller, Gary          Gary Zeller             0   \n",
       "4355      78642             Zeller, Hank          Hank Zeller             0   \n",
       "4356     202545             Zeller, Luke          Luke Zeller             0   \n",
       "4357     203092            Zeller, Tyler         Tyler Zeller             0   \n",
       "4358      78643               Zeno, Tony            Tony Zeno             0   \n",
       "4359      78644        Zevenbergen, Phil     Phil Zevenbergen             0   \n",
       "4360       1917            Zhi-zhi, Wang         Wang Zhi-zhi             0   \n",
       "4361        678            Zidek, George         George Zidek             0   \n",
       "4362       2583       Zimmerman, Derrick    Derrick Zimmerman             0   \n",
       "4363    1627757       Zimmerman, Stephen    Stephen Zimmerman             0   \n",
       "4364    1627835             Zipser, Paul          Paul Zipser             0   \n",
       "4365    1627790              Zizic, Ante           Ante Zizic             1   \n",
       "4366      78647                Zoet, Jim             Jim Zoet             0   \n",
       "4367      78648               Zopf, Bill            Bill Zopf             0   \n",
       "4368    1627826             Zubac, Ivica          Ivica Zubac             1   \n",
       "4369      78650              Zunic, Matt           Matt Zunic             0   \n",
       "\n",
       "     FROM_YEAR TO_YEAR                   PLAYERCODE     TEAM_ID  \\\n",
       "0         1990    1994       HISTADD_alaa_abdelnaby           0   \n",
       "1         1968    1977      HISTADD_zaid_abdul-aziz           0   \n",
       "2         1969    1988  HISTADD_kareem_abdul-jabbar           0   \n",
       "3         1990    2000           mahmoud_abdul-rauf           0   \n",
       "4         1997    2003            tariq_abdul-wahad           0   \n",
       "5         1996    2007          shareef_abdur-rahim           0   \n",
       "6         1976    1980        HISTADD_tom_abernethy           0   \n",
       "7         1956    1956          HISTADD_frosty_able           0   \n",
       "8         1946    1947     HISTADD_brooms_abramovic           0   \n",
       "9         2016    2018                 alex_abrines  1610612760   \n",
       "10        2005    2008                   alex_acker           0   \n",
       "11        1953    1953       HISTADD_buddy_ackerman           0   \n",
       "12        1987    1992           HISTADD_mark_acres           0   \n",
       "13        1967    1967            HISTADD_bud_acton           0   \n",
       "14        2012    2017                   quincy_acy           0   \n",
       "15        1975    1987          HISTADD_alvan_adams           0   \n",
       "16        1970    1976            HISTADD_don_adams           0   \n",
       "17        2006    2008                 hassan_adams           0   \n",
       "18        2018    2018                 jaylen_adams  1610612737   \n",
       "19        2014    2015                 jordan_adams           0   \n",
       "20        1985    1995                michael_adams           0   \n",
       "21        2013    2018                 steven_adams  1610612760   \n",
       "22        1986    1996               rafael_addison           0   \n",
       "23        2017    2018                  bam_adebayo  1610612748   \n",
       "24        1968    1974         HISTADD_rick_adelman           0   \n",
       "25        2010    2014                  jeff_adrien           0   \n",
       "26        2007    2017                arron_afflalo           0   \n",
       "27        2006    2010                 maurice_ager           0   \n",
       "28        1981    1993         HISTADD_mark_aguirre           0   \n",
       "29        2007    2011                 blake_ahearn           0   \n",
       "...        ...     ...                          ...         ...   \n",
       "4340      2014    2017                  james_young           0   \n",
       "4341      2015    2017                    joe_young           0   \n",
       "4342      1998    1998               korleone_young           0   \n",
       "4343      1984    1989        HISTADD_michael_young           0   \n",
       "4344      2007    2017                   nick_young           0   \n",
       "4345      1986    1986          HISTADD_perry_young           0   \n",
       "4346      2009    2012                    sam_young           0   \n",
       "4347      2007    2018               thaddeus_young  1610612754   \n",
       "4348      1999    1999                    tim_young           0   \n",
       "4349      2018    2018                   trae_young  1610612737   \n",
       "4350      1946    1955      HISTADD_slats_zaslofsky           0   \n",
       "4351      1952    1954         HISTADD_zeke_zawoluk           0   \n",
       "4352      2013    2018                  cody_zeller  1610612766   \n",
       "4353      1961    1961          HISTADD_dave_zeller           0   \n",
       "4354      1970    1971          HISTADD_gary_zeller           0   \n",
       "4355      1946    1946          HISTADD_hank_zeller           0   \n",
       "4356      2012    2012                  luke_zeller           0   \n",
       "4357      2012    2017                 tyler_zeller           0   \n",
       "4358      1979    1979            HISTADD_tony_zeno           0   \n",
       "4359      1987    1987     HISTADD_phil_zevenbergen           0   \n",
       "4360      2000    2004                 wang_zhi-zhi           0   \n",
       "4361      1995    1997                 george_zidek           0   \n",
       "4362      2005    2005            derrick_zimmerman           0   \n",
       "4363      2016    2016            stephen_zimmerman           0   \n",
       "4364      2016    2017                  paul_zipser           0   \n",
       "4365      2017    2018                   ante_zizic  1610612739   \n",
       "4366      1982    1982             HISTADD_jim_zoet           0   \n",
       "4367      1970    1970             HISTADD_zip_zopf           0   \n",
       "4368      2016    2018                  ivica_zubac  1610612747   \n",
       "4369      1948    1948           HISTADD_matt_zunic           0   \n",
       "\n",
       "          TEAM_CITY  TEAM_NAME TEAM_ABBREVIATION  TEAM_CODE GAMES_PLAYED_FLAG  \n",
       "0                                                                           Y  \n",
       "1                                                                           Y  \n",
       "2                                                                           Y  \n",
       "3                                                                           Y  \n",
       "4                                                                           Y  \n",
       "5                                                                           Y  \n",
       "6                                                                           Y  \n",
       "7                                                                           Y  \n",
       "8                                                                           Y  \n",
       "9     Oklahoma City    Thunder               OKC    thunder                 Y  \n",
       "10                                                                          Y  \n",
       "11                                                                          Y  \n",
       "12                                                                          Y  \n",
       "13                                                                          Y  \n",
       "14                                                                          Y  \n",
       "15                                                                          Y  \n",
       "16                                                                          Y  \n",
       "17                                                                          Y  \n",
       "18          Atlanta      Hawks               ATL      hawks                 Y  \n",
       "19                                                                          Y  \n",
       "20                                                                          Y  \n",
       "21    Oklahoma City    Thunder               OKC    thunder                 Y  \n",
       "22                                                                          Y  \n",
       "23            Miami       Heat               MIA       heat                 Y  \n",
       "24                                                                          Y  \n",
       "25                                                                          Y  \n",
       "26                                                                          Y  \n",
       "27                                                                          Y  \n",
       "28                                                                          Y  \n",
       "29                                                                          Y  \n",
       "...             ...        ...               ...        ...               ...  \n",
       "4340                                                                        Y  \n",
       "4341                                                                        Y  \n",
       "4342                                                                        Y  \n",
       "4343                                                                        Y  \n",
       "4344                                                                        Y  \n",
       "4345                                                                        Y  \n",
       "4346                                                                        Y  \n",
       "4347        Indiana     Pacers               IND     pacers                 Y  \n",
       "4348                                                                        Y  \n",
       "4349        Atlanta      Hawks               ATL      hawks                 Y  \n",
       "4350                                                                        Y  \n",
       "4351                                                                        Y  \n",
       "4352      Charlotte    Hornets               CHA    hornets                 Y  \n",
       "4353                                                                        Y  \n",
       "4354                                                                        Y  \n",
       "4355                                                                        Y  \n",
       "4356                                                                        Y  \n",
       "4357                                                                        Y  \n",
       "4358                                                                        Y  \n",
       "4359                                                                        Y  \n",
       "4360                                                                        Y  \n",
       "4361                                                                        Y  \n",
       "4362                                                                        Y  \n",
       "4363                                                                        Y  \n",
       "4364                                                                        Y  \n",
       "4365      Cleveland  Cavaliers               CLE  cavaliers                 Y  \n",
       "4366                                                                        Y  \n",
       "4367                                                                        Y  \n",
       "4368    Los Angeles     Lakers               LAL     lakers                 Y  \n",
       "4369                                                                        Y  \n",
       "\n",
       "[4370 rows x 13 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# with pd.option_context('display.max_rows', None, 'display.max_columns', None):\n",
    "\n",
    "display(all_players)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sb = Scoreboard(offset=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "d = {'alon': 10, 'aviv': 8, 'arbel': 12}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[8, 12, 10]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = [5, 7, 2, 12]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{u'AST': 26,\n",
       "  u'FG3_PCT': 0.333,\n",
       "  u'FG_PCT': 0.488,\n",
       "  u'FT_PCT': 0.941,\n",
       "  u'GAME_DATE_EST': u'2018-11-21T00:00:00',\n",
       "  u'GAME_ID': u'0021800252',\n",
       "  u'GAME_SEQUENCE': 1,\n",
       "  u'PTS': 109,\n",
       "  u'PTS_OT1': 0,\n",
       "  u'PTS_OT10': 0,\n",
       "  u'PTS_OT2': 0,\n",
       "  u'PTS_OT3': 0,\n",
       "  u'PTS_OT4': 0,\n",
       "  u'PTS_OT5': 0,\n",
       "  u'PTS_OT6': 0,\n",
       "  u'PTS_OT7': 0,\n",
       "  u'PTS_OT8': 0,\n",
       "  u'PTS_OT9': 0,\n",
       "  u'PTS_QTR1': 30,\n",
       "  u'PTS_QTR2': 30,\n",
       "  u'PTS_QTR3': 24,\n",
       "  u'PTS_QTR4': 25,\n",
       "  u'REB': 37,\n",
       "  u'TEAM_ABBREVIATION': u'IND',\n",
       "  u'TEAM_CITY_NAME': u'Indiana',\n",
       "  u'TEAM_ID': 1610612754,\n",
       "  u'TEAM_WINS_LOSSES': u'11-7',\n",
       "  u'TOV': 14},\n",
       " {u'AST': 30,\n",
       "  u'FG3_PCT': 0.621,\n",
       "  u'FG_PCT': 0.563,\n",
       "  u'FT_PCT': 0.864,\n",
       "  u'GAME_DATE_EST': u'2018-11-21T00:00:00',\n",
       "  u'GAME_ID': u'0021800252',\n",
       "  u'GAME_SEQUENCE': 1,\n",
       "  u'PTS': 127,\n",
       "  u'PTS_OT1': 0,\n",
       "  u'PTS_OT10': 0,\n",
       "  u'PTS_OT2': 0,\n",
       "  u'PTS_OT3': 0,\n",
       "  u'PTS_OT4': 0,\n",
       "  u'PTS_OT5': 0,\n",
       "  u'PTS_OT6': 0,\n",
       "  u'PTS_OT7': 0,\n",
       "  u'PTS_OT8': 0,\n",
       "  u'PTS_OT9': 0,\n",
       "  u'PTS_QTR1': 35,\n",
       "  u'PTS_QTR2': 33,\n",
       "  u'PTS_QTR3': 37,\n",
       "  u'PTS_QTR4': 22,\n",
       "  u'REB': 36,\n",
       "  u'TEAM_ABBREVIATION': u'CHA',\n",
       "  u'TEAM_CITY_NAME': u'Charlotte',\n",
       "  u'TEAM_ID': 1610612766,\n",
       "  u'TEAM_WINS_LOSSES': u'9-8',\n",
       "  u'TOV': 12},\n",
       " {u'AST': 24,\n",
       "  u'FG3_PCT': 0.367,\n",
       "  u'FG_PCT': 0.429,\n",
       "  u'FT_PCT': 0.758,\n",
       "  u'GAME_DATE_EST': u'2018-11-21T00:00:00',\n",
       "  u'GAME_ID': u'0021800253',\n",
       "  u'GAME_SEQUENCE': 2,\n",
       "  u'PTS': 120,\n",
       "  u'PTS_OT1': 0,\n",
       "  u'PTS_OT10': 0,\n",
       "  u'PTS_OT2': 0,\n",
       "  u'PTS_OT3': 0,\n",
       "  u'PTS_OT4': 0,\n",
       "  u'PTS_OT5': 0,\n",
       "  u'PTS_OT6': 0,\n",
       "  u'PTS_OT7': 0,\n",
       "  u'PTS_OT8': 0,\n",
       "  u'PTS_OT9': 0,\n",
       "  u'PTS_QTR1': 23,\n",
       "  u'PTS_QTR2': 34,\n",
       "  u'PTS_QTR3': 30,\n",
       "  u'PTS_QTR4': 33,\n",
       "  u'REB': 54,\n",
       "  u'TEAM_ABBREVIATION': u'NOP',\n",
       "  u'TEAM_CITY_NAME': u'New Orleans',\n",
       "  u'TEAM_ID': 1610612740,\n",
       "  u'TEAM_WINS_LOSSES': u'10-8',\n",
       "  u'TOV': 15},\n",
       " {u'AST': 27,\n",
       "  u'FG3_PCT': 0.345,\n",
       "  u'FG_PCT': 0.449,\n",
       "  u'FT_PCT': 0.885,\n",
       "  u'GAME_DATE_EST': u'2018-11-21T00:00:00',\n",
       "  u'GAME_ID': u'0021800253',\n",
       "  u'GAME_SEQUENCE': 2,\n",
       "  u'PTS': 121,\n",
       "  u'PTS_OT1': 0,\n",
       "  u'PTS_OT10': 0,\n",
       "  u'PTS_OT2': 0,\n",
       "  u'PTS_OT3': 0,\n",
       "  u'PTS_OT4': 0,\n",
       "  u'PTS_OT5': 0,\n",
       "  u'PTS_OT6': 0,\n",
       "  u'PTS_OT7': 0,\n",
       "  u'PTS_OT8': 0,\n",
       "  u'PTS_OT9': 0,\n",
       "  u'PTS_QTR1': 38,\n",
       "  u'PTS_QTR2': 29,\n",
       "  u'PTS_QTR3': 29,\n",
       "  u'PTS_QTR4': 25,\n",
       "  u'REB': 47,\n",
       "  u'TEAM_ABBREVIATION': u'PHI',\n",
       "  u'TEAM_CITY_NAME': u'Philadelphia',\n",
       "  u'TEAM_ID': 1610612755,\n",
       "  u'TEAM_WINS_LOSSES': u'13-7',\n",
       "  u'TOV': 16},\n",
       " {u'AST': 33,\n",
       "  u'FG3_PCT': 0.379,\n",
       "  u'FG_PCT': 0.533,\n",
       "  u'FT_PCT': 0.739,\n",
       "  u'GAME_DATE_EST': u'2018-11-21T00:00:00',\n",
       "  u'GAME_ID': u'0021800254',\n",
       "  u'GAME_SEQUENCE': 3,\n",
       "  u'PTS': 124,\n",
       "  u'PTS_OT1': 0,\n",
       "  u'PTS_OT10': 0,\n",
       "  u'PTS_OT2': 0,\n",
       "  u'PTS_OT3': 0,\n",
       "  u'PTS_OT4': 0,\n",
       "  u'PTS_OT5': 0,\n",
       "  u'PTS_OT6': 0,\n",
       "  u'PTS_OT7': 0,\n",
       "  u'PTS_OT8': 0,\n",
       "  u'PTS_OT9': 0,\n",
       "  u'PTS_QTR1': 29,\n",
       "  u'PTS_QTR2': 26,\n",
       "  u'PTS_QTR3': 31,\n",
       "  u'PTS_QTR4': 38,\n",
       "  u'REB': 55,\n",
       "  u'TEAM_ABBREVIATION': u'TOR',\n",
       "  u'TEAM_CITY_NAME': u'Toronto',\n",
       "  u'TEAM_ID': 1610612761,\n",
       "  u'TEAM_WINS_LOSSES': u'15-4',\n",
       "  u'TOV': 17},\n",
       " {u'AST': 24,\n",
       "  u'FG3_PCT': 0.278,\n",
       "  u'FG_PCT': 0.452,\n",
       "  u'FT_PCT': 0.778,\n",
       "  u'GAME_DATE_EST': u'2018-11-21T00:00:00',\n",
       "  u'GAME_ID': u'0021800254',\n",
       "  u'GAME_SEQUENCE': 3,\n",
       "  u'PTS': 108,\n",
       "  u'PTS_OT1': 0,\n",
       "  u'PTS_OT10': 0,\n",
       "  u'PTS_OT2': 0,\n",
       "  u'PTS_OT3': 0,\n",
       "  u'PTS_OT4': 0,\n",
       "  u'PTS_OT5': 0,\n",
       "  u'PTS_OT6': 0,\n",
       "  u'PTS_OT7': 0,\n",
       "  u'PTS_OT8': 0,\n",
       "  u'PTS_OT9': 0,\n",
       "  u'PTS_QTR1': 24,\n",
       "  u'PTS_QTR2': 20,\n",
       "  u'PTS_QTR3': 29,\n",
       "  u'PTS_QTR4': 35,\n",
       "  u'REB': 34,\n",
       "  u'TEAM_ABBREVIATION': u'ATL',\n",
       "  u'TEAM_CITY_NAME': u'Atlanta',\n",
       "  u'TEAM_ID': 1610612737,\n",
       "  u'TEAM_WINS_LOSSES': u'3-15',\n",
       "  u'TOV': 9},\n",
       " {u'AST': 25,\n",
       "  u'FG3_PCT': 0.5,\n",
       "  u'FG_PCT': 0.494,\n",
       "  u'FT_PCT': 0.824,\n",
       "  u'GAME_DATE_EST': u'2018-11-21T00:00:00',\n",
       "  u'GAME_ID': u'0021800255',\n",
       "  u'GAME_SEQUENCE': 4,\n",
       "  u'PTS': 117,\n",
       "  u'PTS_OT1': 0,\n",
       "  u'PTS_OT10': 0,\n",
       "  u'PTS_OT2': 0,\n",
       "  u'PTS_OT3': 0,\n",
       "  u'PTS_OT4': 0,\n",
       "  u'PTS_OT5': 0,\n",
       "  u'PTS_OT6': 0,\n",
       "  u'PTS_OT7': 0,\n",
       "  u'PTS_OT8': 0,\n",
       "  u'PTS_OT9': 0,\n",
       "  u'PTS_QTR1': 26,\n",
       "  u'PTS_QTR2': 39,\n",
       "  u'PTS_QTR3': 19,\n",
       "  u'PTS_QTR4': 33,\n",
       "  u'REB': 49,\n",
       "  u'TEAM_ABBREVIATION': u'NYK',\n",
       "  u'TEAM_CITY_NAME': u'New York',\n",
       "  u'TEAM_ID': 1610612752,\n",
       "  u'TEAM_WINS_LOSSES': u'5-14',\n",
       "  u'TOV': 17},\n",
       " {u'AST': 30,\n",
       "  u'FG3_PCT': 0.303,\n",
       "  u'FG_PCT': 0.392,\n",
       "  u'FT_PCT': 0.719,\n",
       "  u'GAME_DATE_EST': u'2018-11-21T00:00:00',\n",
       "  u'GAME_ID': u'0021800255',\n",
       "  u'GAME_SEQUENCE': 4,\n",
       "  u'PTS': 109,\n",
       "  u'PTS_OT1': 0,\n",
       "  u'PTS_OT10': 0,\n",
       "  u'PTS_OT2': 0,\n",
       "  u'PTS_OT3': 0,\n",
       "  u'PTS_OT4': 0,\n",
       "  u'PTS_OT5': 0,\n",
       "  u'PTS_OT6': 0,\n",
       "  u'PTS_OT7': 0,\n",
       "  u'PTS_OT8': 0,\n",
       "  u'PTS_OT9': 0,\n",
       "  u'PTS_QTR1': 18,\n",
       "  u'PTS_QTR2': 31,\n",
       "  u'PTS_QTR3': 20,\n",
       "  u'PTS_QTR4': 40,\n",
       "  u'REB': 50,\n",
       "  u'TEAM_ABBREVIATION': u'BOS',\n",
       "  u'TEAM_CITY_NAME': u'Boston',\n",
       "  u'TEAM_ID': 1610612738,\n",
       "  u'TEAM_WINS_LOSSES': u'9-9',\n",
       "  u'TOV': 8},\n",
       " {u'AST': 23,\n",
       "  u'FG3_PCT': 0.36,\n",
       "  u'FG_PCT': 0.513,\n",
       "  u'FT_PCT': 0.714,\n",
       "  u'GAME_DATE_EST': u'2018-11-21T00:00:00',\n",
       "  u'GAME_ID': u'0021800256',\n",
       "  u'GAME_SEQUENCE': 5,\n",
       "  u'PTS': 109,\n",
       "  u'PTS_OT1': 0,\n",
       "  u'PTS_OT10': 0,\n",
       "  u'PTS_OT2': 0,\n",
       "  u'PTS_OT3': 0,\n",
       "  u'PTS_OT4': 0,\n",
       "  u'PTS_OT5': 0,\n",
       "  u'PTS_OT6': 0,\n",
       "  u'PTS_OT7': 0,\n",
       "  u'PTS_OT8': 0,\n",
       "  u'PTS_OT9': 0,\n",
       "  u'PTS_QTR1': 24,\n",
       "  u'PTS_QTR2': 25,\n",
       "  u'PTS_QTR3': 32,\n",
       "  u'PTS_QTR4': 28,\n",
       "  u'REB': 51,\n",
       "  u'TEAM_ABBREVIATION': u'LAL',\n",
       "  u'TEAM_CITY_NAME': u'Los Angeles',\n",
       "  u'TEAM_ID': 1610612747,\n",
       "  u'TEAM_WINS_LOSSES': u'10-7',\n",
       "  u'TOV': 15},\n",
       " {u'AST': 18,\n",
       "  u'FG3_PCT': 0.382,\n",
       "  u'FG_PCT': 0.382,\n",
       "  u'FT_PCT': 0.933,\n",
       "  u'GAME_DATE_EST': u'2018-11-21T00:00:00',\n",
       "  u'GAME_ID': u'0021800256',\n",
       "  u'GAME_SEQUENCE': 5,\n",
       "  u'PTS': 105,\n",
       "  u'PTS_OT1': 0,\n",
       "  u'PTS_OT10': 0,\n",
       "  u'PTS_OT2': 0,\n",
       "  u'PTS_OT3': 0,\n",
       "  u'PTS_OT4': 0,\n",
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       "  u'PTS_OT5': 0,\n",
       "  u'PTS_OT6': 0,\n",
       "  u'PTS_OT7': 0,\n",
       "  u'PTS_OT8': 0,\n",
       "  u'PTS_OT9': 0,\n",
       "  u'PTS_QTR1': 18,\n",
       "  u'PTS_QTR2': 28,\n",
       "  u'PTS_QTR3': 33,\n",
       "  u'PTS_QTR4': 16,\n",
       "  u'REB': 42,\n",
       "  u'TEAM_ABBREVIATION': u'GSW',\n",
       "  u'TEAM_CITY_NAME': u'Golden State',\n",
       "  u'TEAM_ID': 1610612744,\n",
       "  u'TEAM_WINS_LOSSES': u'12-7',\n",
       "  u'TOV': 17}]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sb.line_score()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "sb.json['resource']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "a = sb.json['resultSets']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "a[1].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a[1]['headers']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a[1]['rowSet'][12:14]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sb._game_date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "game_header = sb.game_header()\n",
    "pprint(game_header[0])\n",
    "line_score = sb.line_score()\n",
    "pprint(line_score[0])\n",
    "\n",
    "_api_scrape(sb.json, 2)[0] # series standing\n",
    "_api_scrape(sb.json, 3)[0] # last meeting\n",
    "_api_scrape(sb.json, 6)[0] # last meeting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from urllib.request import urlretrieve\n",
    "import matplotlib.pylab as plt\n",
    "\n",
    "def get_player_img(player_id):\n",
    "    \"\"\"\n",
    "    Returns the image of the player from stats.nba.com as a numpy array and\n",
    "    saves the image as PNG file in the current directory.\n",
    "    Parameters\n",
    "    ----------\n",
    "    player_id: int\n",
    "        The player ID used to find the image.\n",
    "    Returns\n",
    "    -------\n",
    "    player_img: ndarray\n",
    "        The multidimensional numpy array of the player image, which matplotlib\n",
    "        ca plot.\n",
    "    \"\"\"\n",
    "    url = \"http://stats.nba.com/media/players/230x185/\"+str(player_id)+\".png\"\n",
    "    img_file = str(player_id) + \".png\"\n",
    "    pic = urlretrieve(url, img_file)\n",
    "    player_img = plt.imread(pic[0])\n",
    "    return player_img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1ddf5fb1198>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "im = get_player_img(201956)\n",
    "\n",
    "plt.figure()\n",
    "plt.imshow(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Constants\n",
    "TODAY = datetime.today()\n",
    "BASE_URL = 'http://stats.nba.com/stats/{endpoint}'\n",
    "HEADERS = {\n",
    "    'user-agent': ('Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36'),  # noqa: E501\n",
    "    'Dnt': ('1'),\n",
    "    'Accept-Encoding': ('gzip, deflate, sdch'),\n",
    "    'Accept-Language': ('en'),\n",
    "    'origin': ('http://stats.nba.com')\n",
    "}\n",
    "\n",
    "def _get_json(endpoint, params, referer='scores'):\n",
    "    \"\"\"\n",
    "    Internal method to streamline our requests / json getting\n",
    "    Args:\n",
    "        endpoint (str): endpoint to be called from the API\n",
    "        params (dict): parameters to be passed to the API\n",
    "    Raises:\n",
    "        HTTPError: if requests hits a status code != 200\n",
    "    Returns:\n",
    "        json (json): json object for selected API call\n",
    "    \"\"\"\n",
    "    h = dict(HEADERS)\n",
    "    h['referer'] = 'http://stats.nba.com/{ref}/'.format(ref=referer)\n",
    "    _get = requests.get(BASE_URL.format(endpoint=endpoint), params=params,\n",
    "               headers=h)\n",
    "    # print _get.url\n",
    "    _get.raise_for_status()\n",
    "    return _get.json()\n",
    "\n",
    "def _api_scrape(json_inp, ndx, HAS_PANDAS=False):\n",
    "    \"\"\"\n",
    "    Internal method to streamline the getting of data from the json\n",
    "    Args:\n",
    "        json_inp (json): json input from our caller\n",
    "        ndx (int): index where the data is located in the api\n",
    "    Returns:\n",
    "        If pandas is present:\n",
    "            DataFrame (pandas.DataFrame): data set from ndx within the\n",
    "            API's json\n",
    "        else:\n",
    "            A dictionary of both headers and values from the page\n",
    "    \"\"\"\n",
    "\n",
    "    try:\n",
    "        headers = json_inp['resultSets'][ndx]['headers']\n",
    "        values = json_inp['resultSets'][ndx]['rowSet']\n",
    "    except KeyError:\n",
    "        # This is so ugly but this is what you get when your data comes out\n",
    "        # in not a standard format\n",
    "        try:\n",
    "            headers = json_inp['resultSet'][ndx]['headers']\n",
    "            values = json_inp['resultSet'][ndx]['rowSet']\n",
    "        except KeyError:\n",
    "            # Added for results that only include one set (ex. LeagueLeaders)\n",
    "            headers = json_inp['resultSet']['headers']\n",
    "            values = json_inp['resultSet']['rowSet']\n",
    "    if HAS_PANDAS:\n",
    "        return DataFrame(values, columns=headers)\n",
    "    else:\n",
    "        # Taken from www.github.com/bradleyfay/py-goldsberry\n",
    "        return [dict(zip(headers, value)) for value in values]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ==================================================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "json_info = _get_json('commonplayerinfo', {'playerid':2544}, referer='scores')\n",
    "player_df = _api_scrape(json_info, 0)\n",
    "pprint(player_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%timeit\n",
    "\n",
    "month=TODAY.month\n",
    "day=TODAY.day\n",
    "year=TODAY.year\n",
    "league_id='00',\n",
    "offset=-1\n",
    "                \n",
    "_game_date = '{month:02d}/{day:02d}/{year}'.format(month=month, day=day, year=year)\n",
    "_endpoint = 'scoreboard'\n",
    "\n",
    "# %timeit \n",
    "score_json = _get_json(endpoint=_endpoint, params={'LeagueID': league_id, 'GameDate': _game_date, 'DayOffset': offset})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "print(score_json.keys())\n",
    "print(score_json['resource'])\n",
    "print(score_json['parameters'])\n",
    "headers = score_json['resultSets'][1]['headers']\n",
    "print(len(headers))\n",
    "print()\n",
    "values = score_json['resultSets'][1]['rowSet']\n",
    "print(len(values))\n",
    "[dict(zip(headers, value)) for value in values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import nba_py\n",
    "\n",
    "%timeit\n",
    "TODAY = datetime.today()\n",
    "scoreboard = nba_py.Scoreboard(month=TODAY.month,\n",
    "                               day=TODAY.day,\n",
    "                               year=TODAY.year, offset=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from player_util import get_all_player_ids"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ids = get_all_player_ids()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Constants\n",
    "TODAY = datetime.today()\n",
    "BASE_URL = 'http://stats.nba.com/stats/{endpoint}'\n",
    "HEADERS = {\n",
    "    'user-agent': ('Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36'),  # noqa: E501\n",
    "    'Dnt': ('1'),\n",
    "    'Accept-Encoding': ('gzip, deflate, sdch'),\n",
    "    'Accept-Language': ('en'),\n",
    "    'origin': ('http://stats.nba.com')\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "h = dict(HEADERS)\n",
    "h['referer'] = 'http://stats.nba.com/{ref}/'.format(ref='scores')\n",
    "url = BASE_URL.format(endpoint='commonplayerinfo')\n",
    "response = requests.get(BASE_URL,headers=h, timeout=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "response.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "response.text\n",
    "data = json.loads(response.text)\n",
    "keys = data['resultSets'][0]['headers']\n",
    "values = data['resultSets'][0]['rowSet'][0]\n",
    "\n",
    "pprint(dict(zip(keys, values)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "json_info = _get_json('commonplayerinfo', {'playerid':2544}, referer='scores')\n",
    "player_df = _api_scrape(json_info, 0)\n",
    "pprint(player_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import nba_py\n",
    "TODAY = datetime.today()\n",
    "# scoreboard = nba_py.Scoreboard(month=date.month,\n",
    "#                                day=date.day,\n",
    "#                                year=date.year, offset=-1)\n",
    "\n",
    "month=TODAY.month,\n",
    "day=TODAY.day,\n",
    "year=TODAY.year,\n",
    "league_id=0,\n",
    "                \n",
    "_game_date = '{month:02d}/{day:02d}/{year}'.format(month=month,\n",
    "                                                   day=day,\n",
    "                                                   year=year)\n",
    "self.json = _get_json(endpoint=self._endpoint,\n",
    "                      params={'LeagueID': league_id,\n",
    "                              'GameDate': self._game_date, 'DayOffset': offset})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "#Gets Lebron's common player info\n",
    "url = 'http://stats.nba.com/stats/commonplayerinfo/?playerid=2544'  \n",
    "# headers = {'user-agent': ('Mozilla/5.0'),\n",
    "#     'Dnt': ('1'),\n",
    "#     'Accept-Encoding': ('gzip, deflate, sdch'),\n",
    "#     'Accept-Language': ('en'),\n",
    "#     'origin': ('http://stats.nba.com')}  \n",
    "headers = requests.utils.default_headers()\n",
    "print(headers)\n",
    "headers.update(\n",
    "    {\n",
    "        'User-Agent': 'My User Agent 1.0',\n",
    "    })\n",
    "response = requests.get(url,headers = headers, timeout=1)\n",
    "data = json.loads(response.text)\n",
    "keys = data['resultSets'][0]['headers']\n",
    "values = data['resultSets'][0]['rowSet'][0]\n",
    "\n",
    "print(dict(zip(keys, values)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "headers = requests.utils.default_headers()\n",
    "print headers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from nba_py import player"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "player.get_player('paul')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "display(player.get_player('Tim', 'Duncan', just_id=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "print pid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "playerList = player.PlayerList()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%whos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "len(playerList.json)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pl = playerList.json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pl.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "len(pl['resultSets'][0]['rowSet'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "playerTable = pd.DataFrame(pl['resultSets'][0]['rowSet'],columns=pl['resultSets'][0]['headers'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "playerTable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "playerTable[98:99]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "print playerTable['DISPLAY_LAST_COMMA_FIRST'].to_string()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pl['resultSets'][0]['headers']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Curry = player.PlayerSummary(201939).json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Curry.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Curry['resultSets'][0].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Curry['resultSets'][0]['headers']\n",
    "pd.DataFrame(Curry['resultSets'][0]['rowSet'],columns=Curry['resultSets'][0]['headers'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pprint(dict(zip(Curry['resultSets'][0]['headers'], Curry['resultSets'][0]['rowSet'][0])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pprint import pprint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\n",
    "import nba_py\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nba_py.TODAY\n",
    "date = datetime.today()\n",
    "print date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "date = datetime.today()\n",
    "scoreboard = nba_py.Scoreboard(month=date.month,\n",
    "                               day=date.day,\n",
    "                               year=date.year, offset=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "line_score = scoreboard.line_score()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "list(line_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "line_score\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "scoreboard.game_header()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "scoreboard.series_standings()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "scoreboard.last_meeting()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "scoreboard.available()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from nba_py.team import TeamList, TeamDetails, TeamPlayers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "team_list = TeamList()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "team_list.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "team_table = team_list.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "max_year = team_table.as_matrix(columns=['MAX_YEAR']).astype(int)\n",
    "min_year = team_table.as_matrix(columns=['MIN_YEAR']).astype(int)\n",
    "# team_table.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "team_table['YEARS IN NBA'] = max_year - min_year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "team_table\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "team_detail = TeamDetails(1610612739)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "team_detail.awards_championships()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "team_players = TeamPlayers(1610612758)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "team_players.season_totals()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "players_stats = team_players.season_totals()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pd.concat([players_stats['PLAYER_NAME'],players_stats['PTS']], axis=1, keys=['name', 'pts'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from nba_py import constants\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "constants.TEAMS.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "_curr_year = datetime.now().year\n",
    "CURRENT_SEASON = str(_curr_year) + \"-\" + str(_curr_year + 1)[2:]\n",
    "CURRENT_SEASON = str(_curr_year - 1) + \"-\" + str(_curr_year)[2:]\n",
    "\n",
    "print CURRENT_SEASON"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "constants.CURRENT_SEASON"
   ]
  }
 ],
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