NBA Shot Log Exploration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Preprocessing and Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import random\n",
    "import datetime\n",
    "import re\n",
    "from ggplot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "shots_ds = pd.read_csv('shot_logs.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'GAME_ID', u'MATCHUP', u'LOCATION', u'W', u'FINAL_MARGIN',\n",
       "       u'SHOT_NUMBER', u'PERIOD', u'GAME_CLOCK', u'SHOT_CLOCK', u'DRIBBLES',\n",
       "       u'TOUCH_TIME', u'SHOT_DIST', u'PTS_TYPE', u'SHOT_RESULT',\n",
       "       u'CLOSEST_DEFENDER', u'CLOSEST_DEFENDER_PLAYER_ID', u'CLOSE_DEF_DIST',\n",
       "       u'FGM', u'PTS', u'player_name', u'player_id'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shots_ds.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GAME_ID                         int64\n",
       "MATCHUP                        object\n",
       "LOCATION                       object\n",
       "W                              object\n",
       "FINAL_MARGIN                    int64\n",
       "SHOT_NUMBER                     int64\n",
       "PERIOD                          int64\n",
       "GAME_CLOCK                     object\n",
       "SHOT_CLOCK                    float64\n",
       "DRIBBLES                        int64\n",
       "TOUCH_TIME                    float64\n",
       "SHOT_DIST                     float64\n",
       "PTS_TYPE                        int64\n",
       "SHOT_RESULT                    object\n",
       "CLOSEST_DEFENDER               object\n",
       "CLOSEST_DEFENDER_PLAYER_ID      int64\n",
       "CLOSE_DEF_DIST                float64\n",
       "FGM                             int64\n",
       "PTS                             int64\n",
       "player_name                    object\n",
       "player_id                       int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shots_ds.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>MATCHUP</th>\n",
       "      <th>LOCATION</th>\n",
       "      <th>W</th>\n",
       "      <th>FINAL_MARGIN</th>\n",
       "      <th>SHOT_NUMBER</th>\n",
       "      <th>PERIOD</th>\n",
       "      <th>GAME_CLOCK</th>\n",
       "      <th>SHOT_CLOCK</th>\n",
       "      <th>DRIBBLES</th>\n",
       "      <th>...</th>\n",
       "      <th>SHOT_DIST</th>\n",
       "      <th>PTS_TYPE</th>\n",
       "      <th>SHOT_RESULT</th>\n",
       "      <th>CLOSEST_DEFENDER</th>\n",
       "      <th>CLOSEST_DEFENDER_PLAYER_ID</th>\n",
       "      <th>CLOSE_DEF_DIST</th>\n",
       "      <th>FGM</th>\n",
       "      <th>PTS</th>\n",
       "      <th>player_name</th>\n",
       "      <th>player_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21400899</td>\n",
       "      <td>MAR 04, 2015 - CHA @ BKN</td>\n",
       "      <td>A</td>\n",
       "      <td>W</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1:09</td>\n",
       "      <td>10.8</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>7.7</td>\n",
       "      <td>2</td>\n",
       "      <td>made</td>\n",
       "      <td>Anderson, Alan</td>\n",
       "      <td>101187</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>brian roberts</td>\n",
       "      <td>203148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21400899</td>\n",
       "      <td>MAR 04, 2015 - CHA @ BKN</td>\n",
       "      <td>A</td>\n",
       "      <td>W</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0:14</td>\n",
       "      <td>3.4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>28.2</td>\n",
       "      <td>3</td>\n",
       "      <td>missed</td>\n",
       "      <td>Bogdanovic, Bojan</td>\n",
       "      <td>202711</td>\n",
       "      <td>6.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>brian roberts</td>\n",
       "      <td>203148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21400899</td>\n",
       "      <td>MAR 04, 2015 - CHA @ BKN</td>\n",
       "      <td>A</td>\n",
       "      <td>W</td>\n",
       "      <td>24</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>10.1</td>\n",
       "      <td>2</td>\n",
       "      <td>missed</td>\n",
       "      <td>Bogdanovic, Bojan</td>\n",
       "      <td>202711</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>brian roberts</td>\n",
       "      <td>203148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21400899</td>\n",
       "      <td>MAR 04, 2015 - CHA @ BKN</td>\n",
       "      <td>A</td>\n",
       "      <td>W</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>11:47</td>\n",
       "      <td>10.3</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>17.2</td>\n",
       "      <td>2</td>\n",
       "      <td>missed</td>\n",
       "      <td>Brown, Markel</td>\n",
       "      <td>203900</td>\n",
       "      <td>3.4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>brian roberts</td>\n",
       "      <td>203148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>21400899</td>\n",
       "      <td>MAR 04, 2015 - CHA @ BKN</td>\n",
       "      <td>A</td>\n",
       "      <td>W</td>\n",
       "      <td>24</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>10:34</td>\n",
       "      <td>10.9</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>3.7</td>\n",
       "      <td>2</td>\n",
       "      <td>missed</td>\n",
       "      <td>Young, Thaddeus</td>\n",
       "      <td>201152</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>brian roberts</td>\n",
       "      <td>203148</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    GAME_ID                   MATCHUP LOCATION  W  FINAL_MARGIN  SHOT_NUMBER  \\\n",
       "0  21400899  MAR 04, 2015 - CHA @ BKN        A  W            24            1   \n",
       "1  21400899  MAR 04, 2015 - CHA @ BKN        A  W            24            2   \n",
       "2  21400899  MAR 04, 2015 - CHA @ BKN        A  W            24            3   \n",
       "3  21400899  MAR 04, 2015 - CHA @ BKN        A  W            24            4   \n",
       "4  21400899  MAR 04, 2015 - CHA @ BKN        A  W            24            5   \n",
       "\n",
       "   PERIOD GAME_CLOCK  SHOT_CLOCK  DRIBBLES    ...     SHOT_DIST  PTS_TYPE  \\\n",
       "0       1       1:09        10.8         2    ...           7.7         2   \n",
       "1       1       0:14         3.4         0    ...          28.2         3   \n",
       "2       1       0:00         NaN         3    ...          10.1         2   \n",
       "3       2      11:47        10.3         2    ...          17.2         2   \n",
       "4       2      10:34        10.9         2    ...           3.7         2   \n",
       "\n",
       "   SHOT_RESULT   CLOSEST_DEFENDER CLOSEST_DEFENDER_PLAYER_ID  CLOSE_DEF_DIST  \\\n",
       "0         made     Anderson, Alan                     101187             1.3   \n",
       "1       missed  Bogdanovic, Bojan                     202711             6.1   \n",
       "2       missed  Bogdanovic, Bojan                     202711             0.9   \n",
       "3       missed      Brown, Markel                     203900             3.4   \n",
       "4       missed    Young, Thaddeus                     201152             1.1   \n",
       "\n",
       "   FGM  PTS    player_name player_id  \n",
       "0    1    2  brian roberts    203148  \n",
       "1    0    0  brian roberts    203148  \n",
       "2    0    0  brian roberts    203148  \n",
       "3    0    0  brian roberts    203148  \n",
       "4    0    0  brian roberts    203148  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shots_ds.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GAME_ID                       False\n",
       "MATCHUP                       False\n",
       "LOCATION                      False\n",
       "W                             False\n",
       "FINAL_MARGIN                  False\n",
       "SHOT_NUMBER                   False\n",
       "PERIOD                        False\n",
       "GAME_CLOCK                    False\n",
       "SHOT_CLOCK                     True\n",
       "DRIBBLES                      False\n",
       "TOUCH_TIME                    False\n",
       "SHOT_DIST                     False\n",
       "PTS_TYPE                      False\n",
       "SHOT_RESULT                   False\n",
       "CLOSEST_DEFENDER              False\n",
       "CLOSEST_DEFENDER_PLAYER_ID    False\n",
       "CLOSE_DEF_DIST                False\n",
       "FGM                           False\n",
       "PTS                           False\n",
       "player_name                   False\n",
       "player_id                     False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.isnull(shots_ds).any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(128069, 21)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shots_ds.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "splits = lambda x: pd.Series([i for i in re.split(' - | @ | vs. ', x)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "res = shots_ds['MATCHUP'].apply(splits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "shots_ds['date'], shots_ds['team1'], shots_ds['team2'] = res[0], res[1], res[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['ATL', 'BKN', 'BOS', 'CHA', 'CHI', 'CLE', 'DAL', 'DEN', 'DET', 'GSW', 'HOU', 'IND', 'LAC', 'LAL', 'MEM', 'MIA', 'MIL', 'MIN', 'NOP', 'NYK', 'OKC', 'ORL', 'PHI', 'PHX', 'POR', 'SAC', 'SAS', 'TOR', 'UTA', 'WAS'] ['ATL', 'BKN', 'BOS', 'CHA', 'CHI', 'CLE', 'DAL', 'DEN', 'DET', 'GSW', 'HOU', 'IND', 'LAC', 'LAL', 'MEM', 'MIA', 'MIL', 'MIN', 'NOP', 'NYK', 'OKC', 'ORL', 'PHI', 'PHX', 'POR', 'SAC', 'SAS', 'TOR', 'UTA', 'WAS']\n"
     ]
    }
   ],
   "source": [
    "print sorted(shots_ds.team1.unique()), sorted(shots_ds.team2.unique())\n",
    "assert len(shots_ds.team1) == len(shots_ds.team2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Now that we have split up MATCHUP we can drop this column\n",
    "shots_ds.drop('MATCHUP', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Defensive Analysis\n",
    "\n",
    "Some things to investigate:\n",
    "\n",
    "- Who did people shoot around the most\n",
    "- Who had the best/worst shots made % within x distance\n",
    "- Who had the best/worst shots made by being closest defender\n",
    "    - Wing vs interior?\n",
    "- Who had best ratio of minutes played to being closest defender to shot\n",
    "- Who had the worst ration of minutes played to being closest defender to a shot\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "281 474\n"
     ]
    }
   ],
   "source": [
    "# More defenders than shot takers recorded..\n",
    "print len(shots_ds.player_id.unique()), len(shots_ds.CLOSEST_DEFENDER_PLAYER_ID.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "players_ds = pd.DataFrame(list(set(shots_ds['CLOSEST_DEFENDER_PLAYER_ID'])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that people shoot around Big Men the most.  This makes sense because a lot of shots are from drives to the hoop and these people are rim protectors.  They have to deal with drives to the hoop by players they aren't defending, in addition to post up moves from the players they are actually defending.  One should note that being the closest defender to a shot may also show the player's ability to get close to shooters (agility)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "defender_df = pd.concat([shots_ds['CLOSEST_DEFENDER_PLAYER_ID'], shots_ds['CLOSEST_DEFENDER']], axis=1, keys=['PLAYER_ID', 'PLAYER'])\n",
    "defender_df = defender_df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "t_df = shots_ds.groupby('CLOSEST_DEFENDER_PLAYER_ID').count()[['GAME_ID']]\n",
    "t_df.reset_index(level=0, inplace=True)\n",
    "t_df.rename(columns={'CLOSEST_DEFENDER_PLAYER_ID':'PLAYER_ID', 'GAME_ID':'SHOTS_DEFENDED'}, inplace=True)\n",
    "defender_df = defender_df.merge(t_df, on='PLAYER_ID')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "t_df = shots_ds.groupby('CLOSEST_DEFENDER_PLAYER_ID').sum()[['DRIBBLES', 'TOUCH_TIME', 'SHOT_DIST', 'CLOSE_DEF_DIST', 'FGM', 'PTS']]\n",
    "t_df.reset_index(level=0, inplace=True)\n",
    "t_df.rename(columns={'CLOSEST_DEFENDER_PLAYER_ID':'PLAYER_ID', 'FGM':'SHOTS_DEFENDED_MADE'}, inplace=True)\n",
    "defender_df = defender_df.merge(t_df, on='PLAYER_ID')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Calculate column percentages\n",
    "defender_df['FG%'] = defender_df['SHOTS_DEFENDED_MADE']/defender_df['SHOTS_DEFENDED']\n",
    "defender_df['AVG_DRIBBLES'] = defender_df['DRIBBLES']/defender_df['SHOTS_DEFENDED']\n",
    "defender_df['AVG_SHOT_DIST'] = defender_df['SHOT_DIST']/defender_df['SHOTS_DEFENDED']\n",
    "defender_df['AVG_CLOSE_DEF_DIST'] = defender_df['CLOSE_DEF_DIST']/defender_df['SHOTS_DEFENDED']\n",
    "defender_df['AVG_PTS'] = defender_df['PTS']/defender_df['SHOTS_DEFENDED']\n",
    "defender_df['AVG_TOUCH_TIME'] = defender_df['TOUCH_TIME']/defender_df['SHOTS_DEFENDED']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# We only really care about defenders with a decent number of shots against them\n",
    "defender_dfs = defender_df[defender_df.SHOTS_DEFENDED > 200]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'PLAYER_ID', u'PLAYER', u'SHOTS_DEFENDED', u'DRIBBLES', u'TOUCH_TIME',\n",
       "       u'SHOT_DIST', u'CLOSE_DEF_DIST', u'SHOTS_DEFENDED_MADE', u'PTS', u'FG%',\n",
       "       u'AVG_DRIBBLES', u'AVG_SHOT_DIST', u'AVG_CLOSE_DEF_DIST', u'AVG_PTS',\n",
       "       u'AVG_TOUCH_TIME'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "defender_dfs.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PLAYER_ID</th>\n",
       "      <th>PLAYER</th>\n",
       "      <th>SHOTS_DEFENDED</th>\n",
       "      <th>DRIBBLES</th>\n",
       "      <th>TOUCH_TIME</th>\n",
       "      <th>SHOT_DIST</th>\n",
       "      <th>CLOSE_DEF_DIST</th>\n",
       "      <th>SHOTS_DEFENDED_MADE</th>\n",
       "      <th>PTS</th>\n",
       "      <th>FG%</th>\n",
       "      <th>AVG_DRIBBLES</th>\n",
       "      <th>AVG_SHOT_DIST</th>\n",
       "      <th>AVG_CLOSE_DEF_DIST</th>\n",
       "      <th>AVG_PTS</th>\n",
       "      <th>AVG_TOUCH_TIME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>101181</td>\n",
       "      <td>Calderon, Jose</td>\n",
       "      <td>297</td>\n",
       "      <td>800</td>\n",
       "      <td>1017.9</td>\n",
       "      <td>4758.0</td>\n",
       "      <td>1276.1</td>\n",
       "      <td>166</td>\n",
       "      <td>386</td>\n",
       "      <td>0.558923</td>\n",
       "      <td>2.693603</td>\n",
       "      <td>16.020202</td>\n",
       "      <td>4.296633</td>\n",
       "      <td>1.299663</td>\n",
       "      <td>3.427273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>203894</td>\n",
       "      <td>Napier, Shabazz</td>\n",
       "      <td>247</td>\n",
       "      <td>712</td>\n",
       "      <td>803.6</td>\n",
       "      <td>4226.8</td>\n",
       "      <td>1072.3</td>\n",
       "      <td>124</td>\n",
       "      <td>293</td>\n",
       "      <td>0.502024</td>\n",
       "      <td>2.882591</td>\n",
       "      <td>17.112551</td>\n",
       "      <td>4.341296</td>\n",
       "      <td>1.186235</td>\n",
       "      <td>3.253441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>203471</td>\n",
       "      <td>Schroder, Dennis</td>\n",
       "      <td>242</td>\n",
       "      <td>585</td>\n",
       "      <td>718.5</td>\n",
       "      <td>4284.0</td>\n",
       "      <td>1019.5</td>\n",
       "      <td>118</td>\n",
       "      <td>282</td>\n",
       "      <td>0.487603</td>\n",
       "      <td>2.417355</td>\n",
       "      <td>17.702479</td>\n",
       "      <td>4.212810</td>\n",
       "      <td>1.165289</td>\n",
       "      <td>2.969008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>203897</td>\n",
       "      <td>LaVine, Zach</td>\n",
       "      <td>297</td>\n",
       "      <td>953</td>\n",
       "      <td>1058.7</td>\n",
       "      <td>4451.3</td>\n",
       "      <td>1299.5</td>\n",
       "      <td>155</td>\n",
       "      <td>344</td>\n",
       "      <td>0.521886</td>\n",
       "      <td>3.208754</td>\n",
       "      <td>14.987542</td>\n",
       "      <td>4.375421</td>\n",
       "      <td>1.158249</td>\n",
       "      <td>3.564646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>203461</td>\n",
       "      <td>Bennett, Anthony</td>\n",
       "      <td>250</td>\n",
       "      <td>427</td>\n",
       "      <td>643.0</td>\n",
       "      <td>3108.0</td>\n",
       "      <td>1116.2</td>\n",
       "      <td>133</td>\n",
       "      <td>289</td>\n",
       "      <td>0.532000</td>\n",
       "      <td>1.708000</td>\n",
       "      <td>12.432000</td>\n",
       "      <td>4.464800</td>\n",
       "      <td>1.156000</td>\n",
       "      <td>2.572000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2546</td>\n",
       "      <td>Anthony, Carmelo</td>\n",
       "      <td>316</td>\n",
       "      <td>450</td>\n",
       "      <td>707.0</td>\n",
       "      <td>5091.6</td>\n",
       "      <td>1494.8</td>\n",
       "      <td>152</td>\n",
       "      <td>361</td>\n",
       "      <td>0.481013</td>\n",
       "      <td>1.424051</td>\n",
       "      <td>16.112658</td>\n",
       "      <td>4.730380</td>\n",
       "      <td>1.142405</td>\n",
       "      <td>2.237342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>977</td>\n",
       "      <td>Bryant, Kobe</td>\n",
       "      <td>279</td>\n",
       "      <td>346</td>\n",
       "      <td>574.7</td>\n",
       "      <td>4664.9</td>\n",
       "      <td>1536.3</td>\n",
       "      <td>134</td>\n",
       "      <td>318</td>\n",
       "      <td>0.480287</td>\n",
       "      <td>1.240143</td>\n",
       "      <td>16.720072</td>\n",
       "      <td>5.506452</td>\n",
       "      <td>1.139785</td>\n",
       "      <td>2.059857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>101179</td>\n",
       "      <td>Price, Ronnie</td>\n",
       "      <td>246</td>\n",
       "      <td>724</td>\n",
       "      <td>850.1</td>\n",
       "      <td>4156.0</td>\n",
       "      <td>1092.6</td>\n",
       "      <td>118</td>\n",
       "      <td>280</td>\n",
       "      <td>0.479675</td>\n",
       "      <td>2.943089</td>\n",
       "      <td>16.894309</td>\n",
       "      <td>4.441463</td>\n",
       "      <td>1.138211</td>\n",
       "      <td>3.455691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>203501</td>\n",
       "      <td>Hardaway Jr., Tim</td>\n",
       "      <td>379</td>\n",
       "      <td>517</td>\n",
       "      <td>814.0</td>\n",
       "      <td>5913.3</td>\n",
       "      <td>1657.1</td>\n",
       "      <td>187</td>\n",
       "      <td>430</td>\n",
       "      <td>0.493404</td>\n",
       "      <td>1.364116</td>\n",
       "      <td>15.602375</td>\n",
       "      <td>4.372296</td>\n",
       "      <td>1.134565</td>\n",
       "      <td>2.147757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>203496</td>\n",
       "      <td>Covington, Robert</td>\n",
       "      <td>365</td>\n",
       "      <td>466</td>\n",
       "      <td>731.2</td>\n",
       "      <td>5443.3</td>\n",
       "      <td>1747.5</td>\n",
       "      <td>177</td>\n",
       "      <td>413</td>\n",
       "      <td>0.484932</td>\n",
       "      <td>1.276712</td>\n",
       "      <td>14.913151</td>\n",
       "      <td>4.787671</td>\n",
       "      <td>1.131507</td>\n",
       "      <td>2.003288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>203901</td>\n",
       "      <td>Payton, Elfrid</td>\n",
       "      <td>458</td>\n",
       "      <td>1315</td>\n",
       "      <td>1512.6</td>\n",
       "      <td>7674.2</td>\n",
       "      <td>2105.5</td>\n",
       "      <td>218</td>\n",
       "      <td>518</td>\n",
       "      <td>0.475983</td>\n",
       "      <td>2.871179</td>\n",
       "      <td>16.755895</td>\n",
       "      <td>4.597162</td>\n",
       "      <td>1.131004</td>\n",
       "      <td>3.302620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>202682</td>\n",
       "      <td>Williams, Derrick</td>\n",
       "      <td>250</td>\n",
       "      <td>375</td>\n",
       "      <td>584.1</td>\n",
       "      <td>3969.8</td>\n",
       "      <td>1121.3</td>\n",
       "      <td>123</td>\n",
       "      <td>281</td>\n",
       "      <td>0.492000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>15.879200</td>\n",
       "      <td>4.485200</td>\n",
       "      <td>1.124000</td>\n",
       "      <td>2.336400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>1717</td>\n",
       "      <td>Nowitzki, Dirk</td>\n",
       "      <td>581</td>\n",
       "      <td>833</td>\n",
       "      <td>1326.4</td>\n",
       "      <td>7155.5</td>\n",
       "      <td>2846.8</td>\n",
       "      <td>298</td>\n",
       "      <td>653</td>\n",
       "      <td>0.512909</td>\n",
       "      <td>1.433735</td>\n",
       "      <td>12.315835</td>\n",
       "      <td>4.899828</td>\n",
       "      <td>1.123924</td>\n",
       "      <td>2.282960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>203085</td>\n",
       "      <td>Rivers, Austin</td>\n",
       "      <td>275</td>\n",
       "      <td>855</td>\n",
       "      <td>995.4</td>\n",
       "      <td>4203.0</td>\n",
       "      <td>1084.4</td>\n",
       "      <td>137</td>\n",
       "      <td>308</td>\n",
       "      <td>0.498182</td>\n",
       "      <td>3.109091</td>\n",
       "      <td>15.283636</td>\n",
       "      <td>3.943273</td>\n",
       "      <td>1.120000</td>\n",
       "      <td>3.619636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>203504</td>\n",
       "      <td>Burke, Trey</td>\n",
       "      <td>509</td>\n",
       "      <td>1646</td>\n",
       "      <td>1875.9</td>\n",
       "      <td>8230.1</td>\n",
       "      <td>1991.0</td>\n",
       "      <td>252</td>\n",
       "      <td>570</td>\n",
       "      <td>0.495088</td>\n",
       "      <td>3.233792</td>\n",
       "      <td>16.169155</td>\n",
       "      <td>3.911591</td>\n",
       "      <td>1.119843</td>\n",
       "      <td>3.685462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>2772</td>\n",
       "      <td>Ariza, Trevor</td>\n",
       "      <td>477</td>\n",
       "      <td>788</td>\n",
       "      <td>1214.0</td>\n",
       "      <td>7521.4</td>\n",
       "      <td>2328.2</td>\n",
       "      <td>236</td>\n",
       "      <td>533</td>\n",
       "      <td>0.494759</td>\n",
       "      <td>1.651992</td>\n",
       "      <td>15.768134</td>\n",
       "      <td>4.880922</td>\n",
       "      <td>1.117400</td>\n",
       "      <td>2.545073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>203082</td>\n",
       "      <td>Ross, Terrence</td>\n",
       "      <td>463</td>\n",
       "      <td>1057</td>\n",
       "      <td>1382.5</td>\n",
       "      <td>7029.3</td>\n",
       "      <td>1974.2</td>\n",
       "      <td>226</td>\n",
       "      <td>517</td>\n",
       "      <td>0.488121</td>\n",
       "      <td>2.282937</td>\n",
       "      <td>15.182073</td>\n",
       "      <td>4.263931</td>\n",
       "      <td>1.116631</td>\n",
       "      <td>2.985961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>201229</td>\n",
       "      <td>Tolliver, Anthony</td>\n",
       "      <td>272</td>\n",
       "      <td>372</td>\n",
       "      <td>605.8</td>\n",
       "      <td>3293.7</td>\n",
       "      <td>1103.3</td>\n",
       "      <td>142</td>\n",
       "      <td>303</td>\n",
       "      <td>0.522059</td>\n",
       "      <td>1.367647</td>\n",
       "      <td>12.109191</td>\n",
       "      <td>4.056250</td>\n",
       "      <td>1.113971</td>\n",
       "      <td>2.227206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>2365</td>\n",
       "      <td>Andersen, Chris</td>\n",
       "      <td>265</td>\n",
       "      <td>498</td>\n",
       "      <td>763.2</td>\n",
       "      <td>2123.7</td>\n",
       "      <td>881.5</td>\n",
       "      <td>143</td>\n",
       "      <td>294</td>\n",
       "      <td>0.539623</td>\n",
       "      <td>1.879245</td>\n",
       "      <td>8.013962</td>\n",
       "      <td>3.326415</td>\n",
       "      <td>1.109434</td>\n",
       "      <td>2.880000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>203506</td>\n",
       "      <td>Oladipo, Victor</td>\n",
       "      <td>478</td>\n",
       "      <td>888</td>\n",
       "      <td>1223.5</td>\n",
       "      <td>7694.2</td>\n",
       "      <td>2207.5</td>\n",
       "      <td>228</td>\n",
       "      <td>529</td>\n",
       "      <td>0.476987</td>\n",
       "      <td>1.857741</td>\n",
       "      <td>16.096653</td>\n",
       "      <td>4.618201</td>\n",
       "      <td>1.106695</td>\n",
       "      <td>2.559623</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PLAYER_ID             PLAYER  SHOTS_DEFENDED  DRIBBLES  TOUCH_TIME  \\\n",
       "74      101181     Calderon, Jose             297       800      1017.9   \n",
       "147     203894    Napier, Shabazz             247       712       803.6   \n",
       "161     203471   Schroder, Dennis             242       585       718.5   \n",
       "64      203897       LaVine, Zach             297       953      1058.7   \n",
       "301     203461   Bennett, Anthony             250       427       643.0   \n",
       "200       2546   Anthony, Carmelo             316       450       707.0   \n",
       "263        977       Bryant, Kobe             279       346       574.7   \n",
       "159     101179      Price, Ronnie             246       724       850.1   \n",
       "72      203501  Hardaway Jr., Tim             379       517       814.0   \n",
       "221     203496  Covington, Robert             365       466       731.2   \n",
       "97      203901     Payton, Elfrid             458      1315      1512.6   \n",
       "366     202682  Williams, Derrick             250       375       584.1   \n",
       "215       1717     Nowitzki, Dirk             581       833      1326.4   \n",
       "163     203085     Rivers, Austin             275       855       995.4   \n",
       "108     203504        Burke, Trey             509      1646      1875.9   \n",
       "286       2772      Ariza, Trevor             477       788      1214.0   \n",
       "80      203082     Ross, Terrence             463      1057      1382.5   \n",
       "219     201229  Tolliver, Anthony             272       372       605.8   \n",
       "177       2365    Andersen, Chris             265       498       763.2   \n",
       "86      203506    Oladipo, Victor             478       888      1223.5   \n",
       "\n",
       "     SHOT_DIST  CLOSE_DEF_DIST  SHOTS_DEFENDED_MADE  PTS       FG%  \\\n",
       "74      4758.0          1276.1                  166  386  0.558923   \n",
       "147     4226.8          1072.3                  124  293  0.502024   \n",
       "161     4284.0          1019.5                  118  282  0.487603   \n",
       "64      4451.3          1299.5                  155  344  0.521886   \n",
       "301     3108.0          1116.2                  133  289  0.532000   \n",
       "200     5091.6          1494.8                  152  361  0.481013   \n",
       "263     4664.9          1536.3                  134  318  0.480287   \n",
       "159     4156.0          1092.6                  118  280  0.479675   \n",
       "72      5913.3          1657.1                  187  430  0.493404   \n",
       "221     5443.3          1747.5                  177  413  0.484932   \n",
       "97      7674.2          2105.5                  218  518  0.475983   \n",
       "366     3969.8          1121.3                  123  281  0.492000   \n",
       "215     7155.5          2846.8                  298  653  0.512909   \n",
       "163     4203.0          1084.4                  137  308  0.498182   \n",
       "108     8230.1          1991.0                  252  570  0.495088   \n",
       "286     7521.4          2328.2                  236  533  0.494759   \n",
       "80      7029.3          1974.2                  226  517  0.488121   \n",
       "219     3293.7          1103.3                  142  303  0.522059   \n",
       "177     2123.7           881.5                  143  294  0.539623   \n",
       "86      7694.2          2207.5                  228  529  0.476987   \n",
       "\n",
       "     AVG_DRIBBLES  AVG_SHOT_DIST  AVG_CLOSE_DEF_DIST   AVG_PTS  AVG_TOUCH_TIME  \n",
       "74       2.693603      16.020202            4.296633  1.299663        3.427273  \n",
       "147      2.882591      17.112551            4.341296  1.186235        3.253441  \n",
       "161      2.417355      17.702479            4.212810  1.165289        2.969008  \n",
       "64       3.208754      14.987542            4.375421  1.158249        3.564646  \n",
       "301      1.708000      12.432000            4.464800  1.156000        2.572000  \n",
       "200      1.424051      16.112658            4.730380  1.142405        2.237342  \n",
       "263      1.240143      16.720072            5.506452  1.139785        2.059857  \n",
       "159      2.943089      16.894309            4.441463  1.138211        3.455691  \n",
       "72       1.364116      15.602375            4.372296  1.134565        2.147757  \n",
       "221      1.276712      14.913151            4.787671  1.131507        2.003288  \n",
       "97       2.871179      16.755895            4.597162  1.131004        3.302620  \n",
       "366      1.500000      15.879200            4.485200  1.124000        2.336400  \n",
       "215      1.433735      12.315835            4.899828  1.123924        2.282960  \n",
       "163      3.109091      15.283636            3.943273  1.120000        3.619636  \n",
       "108      3.233792      16.169155            3.911591  1.119843        3.685462  \n",
       "286      1.651992      15.768134            4.880922  1.117400        2.545073  \n",
       "80       2.282937      15.182073            4.263931  1.116631        2.985961  \n",
       "219      1.367647      12.109191            4.056250  1.113971        2.227206  \n",
       "177      1.879245       8.013962            3.326415  1.109434        2.880000  \n",
       "86       1.857741      16.096653            4.618201  1.106695        2.559623  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The worst defenders by average points scored against.. Some pretty big names on here!\n",
    "defender_dfs.sort_values('AVG_PTS', ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PLAYER_ID</th>\n",
       "      <th>PLAYER</th>\n",
       "      <th>SHOTS_DEFENDED</th>\n",
       "      <th>DRIBBLES</th>\n",
       "      <th>TOUCH_TIME</th>\n",
       "      <th>SHOT_DIST</th>\n",
       "      <th>CLOSE_DEF_DIST</th>\n",
       "      <th>SHOTS_DEFENDED_MADE</th>\n",
       "      <th>PTS</th>\n",
       "      <th>FG%</th>\n",
       "      <th>AVG_DRIBBLES</th>\n",
       "      <th>AVG_SHOT_DIST</th>\n",
       "      <th>AVG_CLOSE_DEF_DIST</th>\n",
       "      <th>AVG_PTS</th>\n",
       "      <th>AVG_TOUCH_TIME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>203081</td>\n",
       "      <td>Lillard, Damian</td>\n",
       "      <td>579</td>\n",
       "      <td>1868</td>\n",
       "      <td>2118.5</td>\n",
       "      <td>9033.1</td>\n",
       "      <td>2343.6</td>\n",
       "      <td>251</td>\n",
       "      <td>545</td>\n",
       "      <td>0.433506</td>\n",
       "      <td>3.226252</td>\n",
       "      <td>15.601209</td>\n",
       "      <td>4.047668</td>\n",
       "      <td>0.941278</td>\n",
       "      <td>3.658895</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PLAYER_ID           PLAYER  SHOTS_DEFENDED  DRIBBLES  TOUCH_TIME  \\\n",
       "138     203081  Lillard, Damian             579      1868      2118.5   \n",
       "\n",
       "     SHOT_DIST  CLOSE_DEF_DIST  SHOTS_DEFENDED_MADE  PTS       FG%  \\\n",
       "138     9033.1          2343.6                  251  545  0.433506   \n",
       "\n",
       "     AVG_DRIBBLES  AVG_SHOT_DIST  AVG_CLOSE_DEF_DIST   AVG_PTS  AVG_TOUCH_TIME  \n",
       "138      3.226252      15.601209            4.047668  0.941278        3.658895  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_defensive_stats(player_name):\n",
    "    return defender_dfs[defender_dfs['PLAYER'] == player_name]\n",
    "get_defensive_stats('Lillard, Damian')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "correlations = defender_dfs[['SHOTS_DEFENDED', 'FG%', 'AVG_DRIBBLES', 'AVG_SHOT_DIST', 'AVG_CLOSE_DEF_DIST', 'AVG_PTS', 'AVG_TOUCH_TIME']].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1318b6310>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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wVHmKFytKbLzr7xfMYxyOvHd7Y7cePZkzfwEffPIp+/fvIy4ujpSUFDasX0+N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\nJTMiIiJBoCDfZ0bdTCIiIhLQVJkREREJAqrMiIiIiORTqsyIiIgEAZc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uFR9MH88jA0dT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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1318b6750>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,8))\n",
    "sns.heatmap(correlations, annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above heatmap shows several interesting points.  Some significant insights include:\n",
    " - Worse defenders have a slightly higher chance of a shot being taken on them (shots defended versus FG%)\n",
    "     - This is a broad generalization with a large assumption\n",
    " - The further away the shot is, the less chance of it going in (ok this is obvious)\n",
    " - The more dribbles, the further away the shot is likely to be from the basket\n",
    " - There is no siginificant relation between touch time of the basketball or dribbles and the chance the shot goes in\n",
    "     - Perhaps this is because a lot of dribbles means not a 3 pt shot, so it evens out a little there\n",
    " - More dribbles means a defender was closer to the shot\n",
    " - Further away shots have further away defenders\n",
    " - The further away the shot, the more points are scored (although FG% goes down)\n",
    " - The further away the defender is, the more points scored (although FG% is not correlated with this)\n",
    " - The longer the ball is held by an offensive player, the closer the defender gets for the shot\n",
    " \n",
    "While these are mostly broad generalizations, I believe they still offer some insight to the NBA game."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Offensive Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "shooter_df = pd.concat([shots_ds['player_id'], shots_ds['player_name']], axis=1, keys=['player_id', 'name'])\n",
    "shooter_df = shooter_df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "t_df = shots_ds.groupby('player_id').count()[['GAME_ID']]\n",
    "t_df.reset_index(level=0, inplace=True)\n",
    "t_df.rename(columns={'GAME_ID':'SHOTS_TAKEN'}, inplace=True)\n",
    "shooter_df = shooter_df.merge(t_df, on='player_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "t_df = shots_ds.groupby('player_id').sum()[['DRIBBLES', 'TOUCH_TIME', 'SHOT_DIST', 'CLOSE_DEF_DIST', 'FGM', 'PTS', 'PTS_TYPE', 'PERIOD', 'SHOT_NUMBER']]\n",
    "t_df.reset_index(level=0, inplace=True)\n",
    "t_df.rename(columns={'FGM':'SHOTS_MADE'}, inplace=True)\n",
    "shooter_df = shooter_df.merge(t_df, on='player_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Calculate column percentages\n",
    "shooter_df['FG%'] = shooter_df['SHOTS_MADE']/shooter_df['SHOTS_TAKEN']\n",
    "shooter_df['AVG_DRIBBLES'] = shooter_df['DRIBBLES']/shooter_df['SHOTS_TAKEN']\n",
    "shooter_df['AVG_SHOT_DIST'] = shooter_df['SHOT_DIST']/shooter_df['SHOTS_TAKEN']\n",
    "shooter_df['AVG_CLOSE_DEF_DIST'] = shooter_df['CLOSE_DEF_DIST']/shooter_df['SHOTS_TAKEN']\n",
    "shooter_df['AVG_PTS'] = shooter_df['PTS']/shooter_df['SHOTS_TAKEN']\n",
    "shooter_df['AVG_TOUCH_TIME'] = shooter_df['TOUCH_TIME']/shooter_df['SHOTS_TAKEN']\n",
    "shooter_df['AVG_PTS_TYPE'] = shooter_df['PTS_TYPE']/shooter_df['SHOTS_TAKEN']\n",
    "shooter_df['AVG_PERIOD'] = shooter_df['PERIOD']/shooter_df['SHOTS_TAKEN']\n",
    "shooter_df['AVG_SHOT_NUMBER'] = shooter_df['SHOT_NUMBER']/shooter_df['SHOTS_TAKEN']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>player_id</th>\n",
       "      <th>name</th>\n",
       "      <th>SHOTS_TAKEN</th>\n",
       "      <th>DRIBBLES</th>\n",
       "      <th>TOUCH_TIME</th>\n",
       "      <th>SHOT_DIST</th>\n",
       "      <th>CLOSE_DEF_DIST</th>\n",
       "      <th>SHOTS_MADE</th>\n",
       "      <th>PTS</th>\n",
       "      <th>PTS_TYPE</th>\n",
       "      <th>...</th>\n",
       "      <th>SHOT_NUMBER</th>\n",
       "      <th>FG%</th>\n",
       "      <th>AVG_DRIBBLES</th>\n",
       "      <th>AVG_SHOT_DIST</th>\n",
       "      <th>AVG_CLOSE_DEF_DIST</th>\n",
       "      <th>AVG_PTS</th>\n",
       "      <th>AVG_TOUCH_TIME</th>\n",
       "      <th>AVG_PTS_TYPE</th>\n",
       "      <th>AVG_PERIOD</th>\n",
       "      <th>AVG_SHOT_NUMBER</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>203148</td>\n",
       "      <td>brian roberts</td>\n",
       "      <td>372</td>\n",
       "      <td>1229</td>\n",
       "      <td>1343.7</td>\n",
       "      <td>6957.5</td>\n",
       "      <td>1767.0</td>\n",
       "      <td>149</td>\n",
       "      <td>347</td>\n",
       "      <td>897</td>\n",
       "      <td>...</td>\n",
       "      <td>1711</td>\n",
       "      <td>0.400538</td>\n",
       "      <td>3.303763</td>\n",
       "      <td>18.702957</td>\n",
       "      <td>4.750000</td>\n",
       "      <td>0.932796</td>\n",
       "      <td>3.612097</td>\n",
       "      <td>2.411290</td>\n",
       "      <td>2.666667</td>\n",
       "      <td>4.599462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>202687</td>\n",
       "      <td>bismack biyombo</td>\n",
       "      <td>114</td>\n",
       "      <td>36</td>\n",
       "      <td>155.0</td>\n",
       "      <td>459.3</td>\n",
       "      <td>267.6</td>\n",
       "      <td>64</td>\n",
       "      <td>128</td>\n",
       "      <td>228</td>\n",
       "      <td>...</td>\n",
       "      <td>343</td>\n",
       "      <td>0.561404</td>\n",
       "      <td>0.315789</td>\n",
       "      <td>4.028947</td>\n",
       "      <td>2.347368</td>\n",
       "      <td>1.122807</td>\n",
       "      <td>1.359649</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.359649</td>\n",
       "      <td>3.008772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2744</td>\n",
       "      <td>al jefferson</td>\n",
       "      <td>800</td>\n",
       "      <td>557</td>\n",
       "      <td>2101.8</td>\n",
       "      <td>7452.3</td>\n",
       "      <td>2423.9</td>\n",
       "      <td>382</td>\n",
       "      <td>766</td>\n",
       "      <td>1603</td>\n",
       "      <td>...</td>\n",
       "      <td>7230</td>\n",
       "      <td>0.477500</td>\n",
       "      <td>0.696250</td>\n",
       "      <td>9.315375</td>\n",
       "      <td>3.029875</td>\n",
       "      <td>0.957500</td>\n",
       "      <td>2.627250</td>\n",
       "      <td>2.003750</td>\n",
       "      <td>2.446250</td>\n",
       "      <td>9.037500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>203469</td>\n",
       "      <td>cody zeller</td>\n",
       "      <td>355</td>\n",
       "      <td>139</td>\n",
       "      <td>449.5</td>\n",
       "      <td>3774.6</td>\n",
       "      <td>1582.4</td>\n",
       "      <td>165</td>\n",
       "      <td>331</td>\n",
       "      <td>711</td>\n",
       "      <td>...</td>\n",
       "      <td>1387</td>\n",
       "      <td>0.464789</td>\n",
       "      <td>0.391549</td>\n",
       "      <td>10.632676</td>\n",
       "      <td>4.457465</td>\n",
       "      <td>0.932394</td>\n",
       "      <td>1.266197</td>\n",
       "      <td>2.002817</td>\n",
       "      <td>2.281690</td>\n",
       "      <td>3.907042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>202390</td>\n",
       "      <td>gary neal</td>\n",
       "      <td>459</td>\n",
       "      <td>1173</td>\n",
       "      <td>1454.5</td>\n",
       "      <td>8018.9</td>\n",
       "      <td>1700.3</td>\n",
       "      <td>168</td>\n",
       "      <td>384</td>\n",
       "      <td>1078</td>\n",
       "      <td>...</td>\n",
       "      <td>2631</td>\n",
       "      <td>0.366013</td>\n",
       "      <td>2.555556</td>\n",
       "      <td>17.470370</td>\n",
       "      <td>3.704357</td>\n",
       "      <td>0.836601</td>\n",
       "      <td>3.168845</td>\n",
       "      <td>2.348584</td>\n",
       "      <td>2.775599</td>\n",
       "      <td>5.732026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>201945</td>\n",
       "      <td>gerald henderson</td>\n",
       "      <td>563</td>\n",
       "      <td>1044</td>\n",
       "      <td>1468.4</td>\n",
       "      <td>8197.1</td>\n",
       "      <td>2255.9</td>\n",
       "      <td>246</td>\n",
       "      <td>523</td>\n",
       "      <td>1222</td>\n",
       "      <td>...</td>\n",
       "      <td>3630</td>\n",
       "      <td>0.436945</td>\n",
       "      <td>1.854352</td>\n",
       "      <td>14.559680</td>\n",
       "      <td>4.006927</td>\n",
       "      <td>0.928952</td>\n",
       "      <td>2.608171</td>\n",
       "      <td>2.170515</td>\n",
       "      <td>2.477798</td>\n",
       "      <td>6.447602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>202689</td>\n",
       "      <td>kemba walker</td>\n",
       "      <td>695</td>\n",
       "      <td>3457</td>\n",
       "      <td>3419.6</td>\n",
       "      <td>10313.4</td>\n",
       "      <td>2682.4</td>\n",
       "      <td>278</td>\n",
       "      <td>622</td>\n",
       "      <td>1596</td>\n",
       "      <td>...</td>\n",
       "      <td>6734</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>4.974101</td>\n",
       "      <td>14.839424</td>\n",
       "      <td>3.859568</td>\n",
       "      <td>0.894964</td>\n",
       "      <td>4.920288</td>\n",
       "      <td>2.296403</td>\n",
       "      <td>2.541007</td>\n",
       "      <td>9.689209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>203077</td>\n",
       "      <td>michael kidd-gilchrist</td>\n",
       "      <td>369</td>\n",
       "      <td>478</td>\n",
       "      <td>711.7</td>\n",
       "      <td>3530.7</td>\n",
       "      <td>1216.1</td>\n",
       "      <td>174</td>\n",
       "      <td>348</td>\n",
       "      <td>738</td>\n",
       "      <td>...</td>\n",
       "      <td>2004</td>\n",
       "      <td>0.471545</td>\n",
       "      <td>1.295393</td>\n",
       "      <td>9.568293</td>\n",
       "      <td>3.295664</td>\n",
       "      <td>0.943089</td>\n",
       "      <td>1.928726</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.192412</td>\n",
       "      <td>5.430894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>202362</td>\n",
       "      <td>lance stephenson</td>\n",
       "      <td>436</td>\n",
       "      <td>1290</td>\n",
       "      <td>1557.0</td>\n",
       "      <td>6210.1</td>\n",
       "      <td>1800.5</td>\n",
       "      <td>159</td>\n",
       "      <td>331</td>\n",
       "      <td>959</td>\n",
       "      <td>...</td>\n",
       "      <td>2615</td>\n",
       "      <td>0.364679</td>\n",
       "      <td>2.958716</td>\n",
       "      <td>14.243349</td>\n",
       "      <td>4.129587</td>\n",
       "      <td>0.759174</td>\n",
       "      <td>3.571101</td>\n",
       "      <td>2.199541</td>\n",
       "      <td>2.394495</td>\n",
       "      <td>5.997706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>101107</td>\n",
       "      <td>marvin williams</td>\n",
       "      <td>318</td>\n",
       "      <td>92</td>\n",
       "      <td>369.7</td>\n",
       "      <td>6168.2</td>\n",
       "      <td>1850.0</td>\n",
       "      <td>140</td>\n",
       "      <td>341</td>\n",
       "      <td>810</td>\n",
       "      <td>...</td>\n",
       "      <td>1221</td>\n",
       "      <td>0.440252</td>\n",
       "      <td>0.289308</td>\n",
       "      <td>19.396855</td>\n",
       "      <td>5.817610</td>\n",
       "      <td>1.072327</td>\n",
       "      <td>1.162579</td>\n",
       "      <td>2.547170</td>\n",
       "      <td>2.380503</td>\n",
       "      <td>3.839623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>101131</td>\n",
       "      <td>jason maxiell</td>\n",
       "      <td>129</td>\n",
       "      <td>51</td>\n",
       "      <td>171.4</td>\n",
       "      <td>1140.9</td>\n",
       "      <td>437.1</td>\n",
       "      <td>54</td>\n",
       "      <td>108</td>\n",
       "      <td>258</td>\n",
       "      <td>...</td>\n",
       "      <td>360</td>\n",
       "      <td>0.418605</td>\n",
       "      <td>0.395349</td>\n",
       "      <td>8.844186</td>\n",
       "      <td>3.388372</td>\n",
       "      <td>0.837209</td>\n",
       "      <td>1.328682</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.612403</td>\n",
       "      <td>2.790698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>202330</td>\n",
       "      <td>gordon hayward</td>\n",
       "      <td>867</td>\n",
       "      <td>2561</td>\n",
       "      <td>3056.0</td>\n",
       "      <td>12760.8</td>\n",
       "      <td>3946.3</td>\n",
       "      <td>389</td>\n",
       "      <td>875</td>\n",
       "      <td>1997</td>\n",
       "      <td>...</td>\n",
       "      <td>7038</td>\n",
       "      <td>0.448674</td>\n",
       "      <td>2.953864</td>\n",
       "      <td>14.718339</td>\n",
       "      <td>4.551672</td>\n",
       "      <td>1.009227</td>\n",
       "      <td>3.524798</td>\n",
       "      <td>2.303345</td>\n",
       "      <td>2.427912</td>\n",
       "      <td>8.117647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>202344</td>\n",
       "      <td>trevor booker</td>\n",
       "      <td>327</td>\n",
       "      <td>216</td>\n",
       "      <td>432.1</td>\n",
       "      <td>3492.1</td>\n",
       "      <td>1380.6</td>\n",
       "      <td>162</td>\n",
       "      <td>343</td>\n",
       "      <td>711</td>\n",
       "      <td>...</td>\n",
       "      <td>1249</td>\n",
       "      <td>0.495413</td>\n",
       "      <td>0.660550</td>\n",
       "      <td>10.679205</td>\n",
       "      <td>4.222018</td>\n",
       "      <td>1.048930</td>\n",
       "      <td>1.321407</td>\n",
       "      <td>2.174312</td>\n",
       "      <td>2.495413</td>\n",
       "      <td>3.819572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>202683</td>\n",
       "      <td>enes kanter</td>\n",
       "      <td>639</td>\n",
       "      <td>286</td>\n",
       "      <td>1023.1</td>\n",
       "      <td>5455.1</td>\n",
       "      <td>2276.2</td>\n",
       "      <td>318</td>\n",
       "      <td>649</td>\n",
       "      <td>1319</td>\n",
       "      <td>...</td>\n",
       "      <td>4439</td>\n",
       "      <td>0.497653</td>\n",
       "      <td>0.447574</td>\n",
       "      <td>8.536933</td>\n",
       "      <td>3.562128</td>\n",
       "      <td>1.015649</td>\n",
       "      <td>1.601095</td>\n",
       "      <td>2.064163</td>\n",
       "      <td>2.399061</td>\n",
       "      <td>6.946792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>202324</td>\n",
       "      <td>derrick favors</td>\n",
       "      <td>677</td>\n",
       "      <td>393</td>\n",
       "      <td>1154.6</td>\n",
       "      <td>5232.8</td>\n",
       "      <td>2081.4</td>\n",
       "      <td>369</td>\n",
       "      <td>738</td>\n",
       "      <td>1355</td>\n",
       "      <td>...</td>\n",
       "      <td>4855</td>\n",
       "      <td>0.545052</td>\n",
       "      <td>0.580502</td>\n",
       "      <td>7.729394</td>\n",
       "      <td>3.074446</td>\n",
       "      <td>1.090103</td>\n",
       "      <td>1.705465</td>\n",
       "      <td>2.001477</td>\n",
       "      <td>2.369276</td>\n",
       "      <td>7.171344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>203957</td>\n",
       "      <td>dante exum</td>\n",
       "      <td>285</td>\n",
       "      <td>405</td>\n",
       "      <td>585.9</td>\n",
       "      <td>5559.7</td>\n",
       "      <td>1674.0</td>\n",
       "      <td>98</td>\n",
       "      <td>249</td>\n",
       "      <td>747</td>\n",
       "      <td>...</td>\n",
       "      <td>998</td>\n",
       "      <td>0.343860</td>\n",
       "      <td>1.421053</td>\n",
       "      <td>19.507719</td>\n",
       "      <td>5.873684</td>\n",
       "      <td>0.873684</td>\n",
       "      <td>2.055789</td>\n",
       "      <td>2.621053</td>\n",
       "      <td>2.480702</td>\n",
       "      <td>3.501754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>204060</td>\n",
       "      <td>jon ingles</td>\n",
       "      <td>220</td>\n",
       "      <td>234</td>\n",
       "      <td>443.4</td>\n",
       "      <td>4078.9</td>\n",
       "      <td>1244.2</td>\n",
       "      <td>90</td>\n",
       "      <td>221</td>\n",
       "      <td>569</td>\n",
       "      <td>...</td>\n",
       "      <td>721</td>\n",
       "      <td>0.409091</td>\n",
       "      <td>1.063636</td>\n",
       "      <td>18.540455</td>\n",
       "      <td>5.655455</td>\n",
       "      <td>1.004545</td>\n",
       "      <td>2.015455</td>\n",
       "      <td>2.586364</td>\n",
       "      <td>2.413636</td>\n",
       "      <td>3.277273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>203504</td>\n",
       "      <td>trey burke</td>\n",
       "      <td>783</td>\n",
       "      <td>2393</td>\n",
       "      <td>2625.3</td>\n",
       "      <td>13184.9</td>\n",
       "      <td>3142.9</td>\n",
       "      <td>294</td>\n",
       "      <td>684</td>\n",
       "      <td>1867</td>\n",
       "      <td>...</td>\n",
       "      <td>5989</td>\n",
       "      <td>0.375479</td>\n",
       "      <td>3.056194</td>\n",
       "      <td>16.838953</td>\n",
       "      <td>4.013921</td>\n",
       "      <td>0.873563</td>\n",
       "      <td>3.352874</td>\n",
       "      <td>2.384419</td>\n",
       "      <td>2.630907</td>\n",
       "      <td>7.648787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>203497</td>\n",
       "      <td>rudy gobert</td>\n",
       "      <td>267</td>\n",
       "      <td>71</td>\n",
       "      <td>287.7</td>\n",
       "      <td>948.2</td>\n",
       "      <td>647.3</td>\n",
       "      <td>167</td>\n",
       "      <td>334</td>\n",
       "      <td>535</td>\n",
       "      <td>...</td>\n",
       "      <td>921</td>\n",
       "      <td>0.625468</td>\n",
       "      <td>0.265918</td>\n",
       "      <td>3.551311</td>\n",
       "      <td>2.424345</td>\n",
       "      <td>1.250936</td>\n",
       "      <td>1.077528</td>\n",
       "      <td>2.003745</td>\n",
       "      <td>2.430712</td>\n",
       "      <td>3.449438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2430</td>\n",
       "      <td>carlos boozer</td>\n",
       "      <td>620</td>\n",
       "      <td>437</td>\n",
       "      <td>1239.8</td>\n",
       "      <td>6112.2</td>\n",
       "      <td>2160.5</td>\n",
       "      <td>319</td>\n",
       "      <td>638</td>\n",
       "      <td>1240</td>\n",
       "      <td>...</td>\n",
       "      <td>3919</td>\n",
       "      <td>0.514516</td>\n",
       "      <td>0.704839</td>\n",
       "      <td>9.858387</td>\n",
       "      <td>3.484677</td>\n",
       "      <td>1.029032</td>\n",
       "      <td>1.999677</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.362903</td>\n",
       "      <td>6.320968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>202391</td>\n",
       "      <td>jeremy lin</td>\n",
       "      <td>515</td>\n",
       "      <td>2401</td>\n",
       "      <td>2620.0</td>\n",
       "      <td>7422.6</td>\n",
       "      <td>1928.9</td>\n",
       "      <td>226</td>\n",
       "      <td>506</td>\n",
       "      <td>1177</td>\n",
       "      <td>...</td>\n",
       "      <td>2862</td>\n",
       "      <td>0.438835</td>\n",
       "      <td>4.662136</td>\n",
       "      <td>14.412816</td>\n",
       "      <td>3.745437</td>\n",
       "      <td>0.982524</td>\n",
       "      <td>5.087379</td>\n",
       "      <td>2.285437</td>\n",
       "      <td>2.603883</td>\n",
       "      <td>5.557282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>977</td>\n",
       "      <td>kobe bryant</td>\n",
       "      <td>713</td>\n",
       "      <td>2492</td>\n",
       "      <td>3301.9</td>\n",
       "      <td>11718.0</td>\n",
       "      <td>2307.9</td>\n",
       "      <td>266</td>\n",
       "      <td>586</td>\n",
       "      <td>1610</td>\n",
       "      <td>...</td>\n",
       "      <td>8402</td>\n",
       "      <td>0.373072</td>\n",
       "      <td>3.495091</td>\n",
       "      <td>16.434783</td>\n",
       "      <td>3.236886</td>\n",
       "      <td>0.821879</td>\n",
       "      <td>4.630996</td>\n",
       "      <td>2.258065</td>\n",
       "      <td>2.507714</td>\n",
       "      <td>11.784011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>202334</td>\n",
       "      <td>ed davis</td>\n",
       "      <td>350</td>\n",
       "      <td>124</td>\n",
       "      <td>424.5</td>\n",
       "      <td>1546.5</td>\n",
       "      <td>783.0</td>\n",
       "      <td>211</td>\n",
       "      <td>422</td>\n",
       "      <td>700</td>\n",
       "      <td>...</td>\n",
       "      <td>1360</td>\n",
       "      <td>0.602857</td>\n",
       "      <td>0.354286</td>\n",
       "      <td>4.418571</td>\n",
       "      <td>2.237143</td>\n",
       "      <td>1.205714</td>\n",
       "      <td>1.212857</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.402857</td>\n",
       "      <td>3.885714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>101179</td>\n",
       "      <td>ronnie price</td>\n",
       "      <td>223</td>\n",
       "      <td>644</td>\n",
       "      <td>778.6</td>\n",
       "      <td>3913.9</td>\n",
       "      <td>978.5</td>\n",
       "      <td>77</td>\n",
       "      <td>185</td>\n",
       "      <td>555</td>\n",
       "      <td>...</td>\n",
       "      <td>826</td>\n",
       "      <td>0.345291</td>\n",
       "      <td>2.887892</td>\n",
       "      <td>17.551121</td>\n",
       "      <td>4.387892</td>\n",
       "      <td>0.829596</td>\n",
       "      <td>3.491480</td>\n",
       "      <td>2.488789</td>\n",
       "      <td>2.466368</td>\n",
       "      <td>3.704036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>201961</td>\n",
       "      <td>wayne ellington</td>\n",
       "      <td>438</td>\n",
       "      <td>861</td>\n",
       "      <td>1143.0</td>\n",
       "      <td>8175.4</td>\n",
       "      <td>1904.0</td>\n",
       "      <td>189</td>\n",
       "      <td>441</td>\n",
       "      <td>1049</td>\n",
       "      <td>...</td>\n",
       "      <td>2577</td>\n",
       "      <td>0.431507</td>\n",
       "      <td>1.965753</td>\n",
       "      <td>18.665297</td>\n",
       "      <td>4.347032</td>\n",
       "      <td>1.006849</td>\n",
       "      <td>2.609589</td>\n",
       "      <td>2.394977</td>\n",
       "      <td>2.646119</td>\n",
       "      <td>5.883562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>202325</td>\n",
       "      <td>wesley johnson</td>\n",
       "      <td>472</td>\n",
       "      <td>359</td>\n",
       "      <td>764.6</td>\n",
       "      <td>8605.3</td>\n",
       "      <td>2262.7</td>\n",
       "      <td>197</td>\n",
       "      <td>463</td>\n",
       "      <td>1132</td>\n",
       "      <td>...</td>\n",
       "      <td>2488</td>\n",
       "      <td>0.417373</td>\n",
       "      <td>0.760593</td>\n",
       "      <td>18.231568</td>\n",
       "      <td>4.793856</td>\n",
       "      <td>0.980932</td>\n",
       "      <td>1.619915</td>\n",
       "      <td>2.398305</td>\n",
       "      <td>2.453390</td>\n",
       "      <td>5.271186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>201941</td>\n",
       "      <td>jordan hill</td>\n",
       "      <td>614</td>\n",
       "      <td>299</td>\n",
       "      <td>1180.0</td>\n",
       "      <td>7213.5</td>\n",
       "      <td>2711.0</td>\n",
       "      <td>285</td>\n",
       "      <td>571</td>\n",
       "      <td>1232</td>\n",
       "      <td>...</td>\n",
       "      <td>4120</td>\n",
       "      <td>0.464169</td>\n",
       "      <td>0.486971</td>\n",
       "      <td>11.748371</td>\n",
       "      <td>4.415309</td>\n",
       "      <td>0.929967</td>\n",
       "      <td>1.921824</td>\n",
       "      <td>2.006515</td>\n",
       "      <td>2.350163</td>\n",
       "      <td>6.710098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>201156</td>\n",
       "      <td>nick young</td>\n",
       "      <td>473</td>\n",
       "      <td>1346</td>\n",
       "      <td>1653.2</td>\n",
       "      <td>9004.6</td>\n",
       "      <td>1654.7</td>\n",
       "      <td>174</td>\n",
       "      <td>431</td>\n",
       "      <td>1170</td>\n",
       "      <td>...</td>\n",
       "      <td>3093</td>\n",
       "      <td>0.367865</td>\n",
       "      <td>2.845666</td>\n",
       "      <td>19.037209</td>\n",
       "      <td>3.498309</td>\n",
       "      <td>0.911205</td>\n",
       "      <td>3.495137</td>\n",
       "      <td>2.473573</td>\n",
       "      <td>2.773784</td>\n",
       "      <td>6.539112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>203135</td>\n",
       "      <td>robert sacre</td>\n",
       "      <td>242</td>\n",
       "      <td>176</td>\n",
       "      <td>514.6</td>\n",
       "      <td>2600.2</td>\n",
       "      <td>937.5</td>\n",
       "      <td>100</td>\n",
       "      <td>200</td>\n",
       "      <td>484</td>\n",
       "      <td>...</td>\n",
       "      <td>881</td>\n",
       "      <td>0.413223</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>10.744628</td>\n",
       "      <td>3.873967</td>\n",
       "      <td>0.826446</td>\n",
       "      <td>2.126446</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.520661</td>\n",
       "      <td>3.640496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>203084</td>\n",
       "      <td>harrison barnes</td>\n",
       "      <td>463</td>\n",
       "      <td>418</td>\n",
       "      <td>823.6</td>\n",
       "      <td>6384.4</td>\n",
       "      <td>2439.6</td>\n",
       "      <td>227</td>\n",
       "      <td>521</td>\n",
       "      <td>1081</td>\n",
       "      <td>...</td>\n",
       "      <td>2329</td>\n",
       "      <td>0.490281</td>\n",
       "      <td>0.902808</td>\n",
       "      <td>13.789201</td>\n",
       "      <td>5.269114</td>\n",
       "      <td>1.125270</td>\n",
       "      <td>1.778834</td>\n",
       "      <td>2.334773</td>\n",
       "      <td>2.358531</td>\n",
       "      <td>5.030238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>203503</td>\n",
       "      <td>tony snell</td>\n",
       "      <td>229</td>\n",
       "      <td>228</td>\n",
       "      <td>389.1</td>\n",
       "      <td>3917.1</td>\n",
       "      <td>1127.9</td>\n",
       "      <td>105</td>\n",
       "      <td>260</td>\n",
       "      <td>581</td>\n",
       "      <td>...</td>\n",
       "      <td>1020</td>\n",
       "      <td>0.458515</td>\n",
       "      <td>0.995633</td>\n",
       "      <td>17.105240</td>\n",
       "      <td>4.925328</td>\n",
       "      <td>1.135371</td>\n",
       "      <td>1.699127</td>\n",
       "      <td>2.537118</td>\n",
       "      <td>2.541485</td>\n",
       "      <td>4.454148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>201166</td>\n",
       "      <td>aaron brooks</td>\n",
       "      <td>561</td>\n",
       "      <td>3031</td>\n",
       "      <td>2782.1</td>\n",
       "      <td>8464.7</td>\n",
       "      <td>2059.9</td>\n",
       "      <td>233</td>\n",
       "      <td>555</td>\n",
       "      <td>1340</td>\n",
       "      <td>...</td>\n",
       "      <td>3335</td>\n",
       "      <td>0.415330</td>\n",
       "      <td>5.402852</td>\n",
       "      <td>15.088592</td>\n",
       "      <td>3.671836</td>\n",
       "      <td>0.989305</td>\n",
       "      <td>4.959180</td>\n",
       "      <td>2.388592</td>\n",
       "      <td>2.828877</td>\n",
       "      <td>5.944742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>201149</td>\n",
       "      <td>joakim noah</td>\n",
       "      <td>340</td>\n",
       "      <td>136</td>\n",
       "      <td>446.7</td>\n",
       "      <td>2548.2</td>\n",
       "      <td>1219.5</td>\n",
       "      <td>149</td>\n",
       "      <td>298</td>\n",
       "      <td>682</td>\n",
       "      <td>...</td>\n",
       "      <td>1556</td>\n",
       "      <td>0.438235</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>7.494706</td>\n",
       "      <td>3.586765</td>\n",
       "      <td>0.876471</td>\n",
       "      <td>1.313824</td>\n",
       "      <td>2.005882</td>\n",
       "      <td>2.526471</td>\n",
       "      <td>4.576471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>203468</td>\n",
       "      <td>cj mccollum</td>\n",
       "      <td>174</td>\n",
       "      <td>468</td>\n",
       "      <td>559.0</td>\n",
       "      <td>2892.8</td>\n",
       "      <td>812.7</td>\n",
       "      <td>68</td>\n",
       "      <td>167</td>\n",
       "      <td>425</td>\n",
       "      <td>...</td>\n",
       "      <td>636</td>\n",
       "      <td>0.390805</td>\n",
       "      <td>2.689655</td>\n",
       "      <td>16.625287</td>\n",
       "      <td>4.670690</td>\n",
       "      <td>0.959770</td>\n",
       "      <td>3.212644</td>\n",
       "      <td>2.442529</td>\n",
       "      <td>2.683908</td>\n",
       "      <td>3.655172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>202083</td>\n",
       "      <td>wesley matthews</td>\n",
       "      <td>748</td>\n",
       "      <td>882</td>\n",
       "      <td>1589.1</td>\n",
       "      <td>13854.6</td>\n",
       "      <td>3642.9</td>\n",
       "      <td>336</td>\n",
       "      <td>845</td>\n",
       "      <td>1939</td>\n",
       "      <td>...</td>\n",
       "      <td>5538</td>\n",
       "      <td>0.449198</td>\n",
       "      <td>1.179144</td>\n",
       "      <td>18.522193</td>\n",
       "      <td>4.870187</td>\n",
       "      <td>1.129679</td>\n",
       "      <td>2.124465</td>\n",
       "      <td>2.592246</td>\n",
       "      <td>2.594920</td>\n",
       "      <td>7.403743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>2581</td>\n",
       "      <td>steve blake</td>\n",
       "      <td>247</td>\n",
       "      <td>852</td>\n",
       "      <td>878.7</td>\n",
       "      <td>5208.4</td>\n",
       "      <td>1398.6</td>\n",
       "      <td>93</td>\n",
       "      <td>241</td>\n",
       "      <td>652</td>\n",
       "      <td>...</td>\n",
       "      <td>732</td>\n",
       "      <td>0.376518</td>\n",
       "      <td>3.449393</td>\n",
       "      <td>21.086640</td>\n",
       "      <td>5.662348</td>\n",
       "      <td>0.975709</td>\n",
       "      <td>3.557490</td>\n",
       "      <td>2.639676</td>\n",
       "      <td>2.587045</td>\n",
       "      <td>2.963563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>200746</td>\n",
       "      <td>lamarcus aldridge</td>\n",
       "      <td>1050</td>\n",
       "      <td>1331</td>\n",
       "      <td>2584.2</td>\n",
       "      <td>14297.8</td>\n",
       "      <td>4275.8</td>\n",
       "      <td>473</td>\n",
       "      <td>971</td>\n",
       "      <td>2167</td>\n",
       "      <td>...</td>\n",
       "      <td>11642</td>\n",
       "      <td>0.450476</td>\n",
       "      <td>1.267619</td>\n",
       "      <td>13.616952</td>\n",
       "      <td>4.072190</td>\n",
       "      <td>0.924762</td>\n",
       "      <td>2.461143</td>\n",
       "      <td>2.063810</td>\n",
       "      <td>2.366667</td>\n",
       "      <td>11.087619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>203459</td>\n",
       "      <td>alan crabbe</td>\n",
       "      <td>94</td>\n",
       "      <td>35</td>\n",
       "      <td>121.0</td>\n",
       "      <td>1807.7</td>\n",
       "      <td>550.4</td>\n",
       "      <td>40</td>\n",
       "      <td>102</td>\n",
       "      <td>245</td>\n",
       "      <td>...</td>\n",
       "      <td>236</td>\n",
       "      <td>0.425532</td>\n",
       "      <td>0.372340</td>\n",
       "      <td>19.230851</td>\n",
       "      <td>5.855319</td>\n",
       "      <td>1.085106</td>\n",
       "      <td>1.287234</td>\n",
       "      <td>2.606383</td>\n",
       "      <td>2.393617</td>\n",
       "      <td>2.510638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>201587</td>\n",
       "      <td>nicolas batum</td>\n",
       "      <td>450</td>\n",
       "      <td>573</td>\n",
       "      <td>910.1</td>\n",
       "      <td>8306.1</td>\n",
       "      <td>2556.9</td>\n",
       "      <td>175</td>\n",
       "      <td>417</td>\n",
       "      <td>1132</td>\n",
       "      <td>...</td>\n",
       "      <td>2349</td>\n",
       "      <td>0.388889</td>\n",
       "      <td>1.273333</td>\n",
       "      <td>18.458000</td>\n",
       "      <td>5.682000</td>\n",
       "      <td>0.926667</td>\n",
       "      <td>2.022444</td>\n",
       "      <td>2.515556</td>\n",
       "      <td>2.328889</td>\n",
       "      <td>5.220000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>203081</td>\n",
       "      <td>damian lillard</td>\n",
       "      <td>986</td>\n",
       "      <td>4884</td>\n",
       "      <td>5043.2</td>\n",
       "      <td>16110.0</td>\n",
       "      <td>4091.0</td>\n",
       "      <td>426</td>\n",
       "      <td>995</td>\n",
       "      <td>2395</td>\n",
       "      <td>...</td>\n",
       "      <td>9320</td>\n",
       "      <td>0.432049</td>\n",
       "      <td>4.953347</td>\n",
       "      <td>16.338742</td>\n",
       "      <td>4.149087</td>\n",
       "      <td>1.009128</td>\n",
       "      <td>5.114807</td>\n",
       "      <td>2.429006</td>\n",
       "      <td>2.692698</td>\n",
       "      <td>9.452333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>2549</td>\n",
       "      <td>chris kaman</td>\n",
       "      <td>434</td>\n",
       "      <td>338</td>\n",
       "      <td>834.7</td>\n",
       "      <td>3719.8</td>\n",
       "      <td>1339.2</td>\n",
       "      <td>213</td>\n",
       "      <td>426</td>\n",
       "      <td>868</td>\n",
       "      <td>...</td>\n",
       "      <td>2116</td>\n",
       "      <td>0.490783</td>\n",
       "      <td>0.778802</td>\n",
       "      <td>8.570968</td>\n",
       "      <td>3.085714</td>\n",
       "      <td>0.981567</td>\n",
       "      <td>1.923272</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.304147</td>\n",
       "      <td>4.875576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>203952</td>\n",
       "      <td>andrew wiggins</td>\n",
       "      <td>797</td>\n",
       "      <td>1051</td>\n",
       "      <td>1842.3</td>\n",
       "      <td>9662.3</td>\n",
       "      <td>2753.9</td>\n",
       "      <td>348</td>\n",
       "      <td>730</td>\n",
       "      <td>1695</td>\n",
       "      <td>...</td>\n",
       "      <td>6406</td>\n",
       "      <td>0.436637</td>\n",
       "      <td>1.318695</td>\n",
       "      <td>12.123338</td>\n",
       "      <td>3.455332</td>\n",
       "      <td>0.915935</td>\n",
       "      <td>2.311543</td>\n",
       "      <td>2.126725</td>\n",
       "      <td>2.361355</td>\n",
       "      <td>8.037641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>203476</td>\n",
       "      <td>gorgui dieng</td>\n",
       "      <td>407</td>\n",
       "      <td>169</td>\n",
       "      <td>816.0</td>\n",
       "      <td>3171.1</td>\n",
       "      <td>1336.5</td>\n",
       "      <td>201</td>\n",
       "      <td>403</td>\n",
       "      <td>818</td>\n",
       "      <td>...</td>\n",
       "      <td>1864</td>\n",
       "      <td>0.493857</td>\n",
       "      <td>0.415233</td>\n",
       "      <td>7.791400</td>\n",
       "      <td>3.283784</td>\n",
       "      <td>0.990172</td>\n",
       "      <td>2.004914</td>\n",
       "      <td>2.009828</td>\n",
       "      <td>2.304668</td>\n",
       "      <td>4.579853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>2590</td>\n",
       "      <td>mo williams</td>\n",
       "      <td>559</td>\n",
       "      <td>2950</td>\n",
       "      <td>2767.2</td>\n",
       "      <td>10938.9</td>\n",
       "      <td>2350.1</td>\n",
       "      <td>233</td>\n",
       "      <td>548</td>\n",
       "      <td>1344</td>\n",
       "      <td>...</td>\n",
       "      <td>4301</td>\n",
       "      <td>0.416816</td>\n",
       "      <td>5.277281</td>\n",
       "      <td>19.568694</td>\n",
       "      <td>4.204114</td>\n",
       "      <td>0.980322</td>\n",
       "      <td>4.950268</td>\n",
       "      <td>2.404293</td>\n",
       "      <td>2.475850</td>\n",
       "      <td>7.694097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>203461</td>\n",
       "      <td>anthony bennett</td>\n",
       "      <td>274</td>\n",
       "      <td>107</td>\n",
       "      <td>349.9</td>\n",
       "      <td>3766.1</td>\n",
       "      <td>1286.3</td>\n",
       "      <td>114</td>\n",
       "      <td>233</td>\n",
       "      <td>565</td>\n",
       "      <td>...</td>\n",
       "      <td>1143</td>\n",
       "      <td>0.416058</td>\n",
       "      <td>0.390511</td>\n",
       "      <td>13.744891</td>\n",
       "      <td>4.694526</td>\n",
       "      <td>0.850365</td>\n",
       "      <td>1.277007</td>\n",
       "      <td>2.062044</td>\n",
       "      <td>2.459854</td>\n",
       "      <td>4.171533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>203897</td>\n",
       "      <td>zach lavine</td>\n",
       "      <td>371</td>\n",
       "      <td>1472</td>\n",
       "      <td>1564.6</td>\n",
       "      <td>5481.9</td>\n",
       "      <td>1538.4</td>\n",
       "      <td>157</td>\n",
       "      <td>337</td>\n",
       "      <td>819</td>\n",
       "      <td>...</td>\n",
       "      <td>1870</td>\n",
       "      <td>0.423181</td>\n",
       "      <td>3.967655</td>\n",
       "      <td>14.776011</td>\n",
       "      <td>4.146631</td>\n",
       "      <td>0.908356</td>\n",
       "      <td>4.217251</td>\n",
       "      <td>2.207547</td>\n",
       "      <td>2.649596</td>\n",
       "      <td>5.040431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>203498</td>\n",
       "      <td>shabazz muhammad</td>\n",
       "      <td>391</td>\n",
       "      <td>396</td>\n",
       "      <td>651.1</td>\n",
       "      <td>3881.6</td>\n",
       "      <td>1234.5</td>\n",
       "      <td>191</td>\n",
       "      <td>402</td>\n",
       "      <td>833</td>\n",
       "      <td>...</td>\n",
       "      <td>2737</td>\n",
       "      <td>0.488491</td>\n",
       "      <td>1.012788</td>\n",
       "      <td>9.927366</td>\n",
       "      <td>3.157289</td>\n",
       "      <td>1.028133</td>\n",
       "      <td>1.665217</td>\n",
       "      <td>2.130435</td>\n",
       "      <td>2.503836</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>201152</td>\n",
       "      <td>thaddeus young</td>\n",
       "      <td>694</td>\n",
       "      <td>829</td>\n",
       "      <td>1643.3</td>\n",
       "      <td>6960.3</td>\n",
       "      <td>2551.0</td>\n",
       "      <td>324</td>\n",
       "      <td>673</td>\n",
       "      <td>1463</td>\n",
       "      <td>...</td>\n",
       "      <td>5255</td>\n",
       "      <td>0.466859</td>\n",
       "      <td>1.194524</td>\n",
       "      <td>10.029251</td>\n",
       "      <td>3.675793</td>\n",
       "      <td>0.969741</td>\n",
       "      <td>2.367867</td>\n",
       "      <td>2.108069</td>\n",
       "      <td>2.345821</td>\n",
       "      <td>7.572046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>201978</td>\n",
       "      <td>chase budinger</td>\n",
       "      <td>199</td>\n",
       "      <td>96</td>\n",
       "      <td>237.7</td>\n",
       "      <td>3077.5</td>\n",
       "      <td>835.2</td>\n",
       "      <td>74</td>\n",
       "      <td>173</td>\n",
       "      <td>472</td>\n",
       "      <td>...</td>\n",
       "      <td>706</td>\n",
       "      <td>0.371859</td>\n",
       "      <td>0.482412</td>\n",
       "      <td>15.464824</td>\n",
       "      <td>4.196985</td>\n",
       "      <td>0.869347</td>\n",
       "      <td>1.194472</td>\n",
       "      <td>2.371859</td>\n",
       "      <td>2.587940</td>\n",
       "      <td>3.547739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>203133</td>\n",
       "      <td>robbie hummel</td>\n",
       "      <td>119</td>\n",
       "      <td>54</td>\n",
       "      <td>132.8</td>\n",
       "      <td>1886.2</td>\n",
       "      <td>640.1</td>\n",
       "      <td>57</td>\n",
       "      <td>124</td>\n",
       "      <td>272</td>\n",
       "      <td>...</td>\n",
       "      <td>382</td>\n",
       "      <td>0.478992</td>\n",
       "      <td>0.453782</td>\n",
       "      <td>15.850420</td>\n",
       "      <td>5.378992</td>\n",
       "      <td>1.042017</td>\n",
       "      <td>1.115966</td>\n",
       "      <td>2.285714</td>\n",
       "      <td>3.016807</td>\n",
       "      <td>3.210084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>201572</td>\n",
       "      <td>brook lopez</td>\n",
       "      <td>631</td>\n",
       "      <td>418</td>\n",
       "      <td>1230.3</td>\n",
       "      <td>6341.9</td>\n",
       "      <td>2377.0</td>\n",
       "      <td>308</td>\n",
       "      <td>617</td>\n",
       "      <td>1270</td>\n",
       "      <td>...</td>\n",
       "      <td>5057</td>\n",
       "      <td>0.488114</td>\n",
       "      <td>0.662441</td>\n",
       "      <td>10.050555</td>\n",
       "      <td>3.767036</td>\n",
       "      <td>0.977813</td>\n",
       "      <td>1.949762</td>\n",
       "      <td>2.012678</td>\n",
       "      <td>2.301109</td>\n",
       "      <td>8.014263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>203141</td>\n",
       "      <td>mirza teletovic</td>\n",
       "      <td>318</td>\n",
       "      <td>189</td>\n",
       "      <td>439.9</td>\n",
       "      <td>5831.7</td>\n",
       "      <td>1515.0</td>\n",
       "      <td>122</td>\n",
       "      <td>306</td>\n",
       "      <td>828</td>\n",
       "      <td>...</td>\n",
       "      <td>1626</td>\n",
       "      <td>0.383648</td>\n",
       "      <td>0.594340</td>\n",
       "      <td>18.338679</td>\n",
       "      <td>4.764151</td>\n",
       "      <td>0.962264</td>\n",
       "      <td>1.383333</td>\n",
       "      <td>2.603774</td>\n",
       "      <td>2.581761</td>\n",
       "      <td>5.113208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>203486</td>\n",
       "      <td>mason plumlee</td>\n",
       "      <td>403</td>\n",
       "      <td>223</td>\n",
       "      <td>616.8</td>\n",
       "      <td>1722.0</td>\n",
       "      <td>1135.5</td>\n",
       "      <td>236</td>\n",
       "      <td>472</td>\n",
       "      <td>809</td>\n",
       "      <td>...</td>\n",
       "      <td>1905</td>\n",
       "      <td>0.585608</td>\n",
       "      <td>0.553350</td>\n",
       "      <td>4.272953</td>\n",
       "      <td>2.817618</td>\n",
       "      <td>1.171216</td>\n",
       "      <td>1.530521</td>\n",
       "      <td>2.007444</td>\n",
       "      <td>2.292804</td>\n",
       "      <td>4.727047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>708</td>\n",
       "      <td>kevin garnett</td>\n",
       "      <td>301</td>\n",
       "      <td>118</td>\n",
       "      <td>439.5</td>\n",
       "      <td>4351.6</td>\n",
       "      <td>1529.2</td>\n",
       "      <td>140</td>\n",
       "      <td>281</td>\n",
       "      <td>609</td>\n",
       "      <td>...</td>\n",
       "      <td>1346</td>\n",
       "      <td>0.465116</td>\n",
       "      <td>0.392027</td>\n",
       "      <td>14.457143</td>\n",
       "      <td>5.080399</td>\n",
       "      <td>0.933555</td>\n",
       "      <td>1.460133</td>\n",
       "      <td>2.023256</td>\n",
       "      <td>2.176080</td>\n",
       "      <td>4.471761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>101187</td>\n",
       "      <td>alan anderson</td>\n",
       "      <td>337</td>\n",
       "      <td>433</td>\n",
       "      <td>758.4</td>\n",
       "      <td>5599.9</td>\n",
       "      <td>1383.6</td>\n",
       "      <td>146</td>\n",
       "      <td>352</td>\n",
       "      <td>848</td>\n",
       "      <td>...</td>\n",
       "      <td>1332</td>\n",
       "      <td>0.433234</td>\n",
       "      <td>1.284866</td>\n",
       "      <td>16.616914</td>\n",
       "      <td>4.105638</td>\n",
       "      <td>1.044510</td>\n",
       "      <td>2.250445</td>\n",
       "      <td>2.516320</td>\n",
       "      <td>2.569733</td>\n",
       "      <td>3.952522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>101114</td>\n",
       "      <td>deron williams</td>\n",
       "      <td>515</td>\n",
       "      <td>2788</td>\n",
       "      <td>2781.0</td>\n",
       "      <td>7864.9</td>\n",
       "      <td>2091.3</td>\n",
       "      <td>201</td>\n",
       "      <td>459</td>\n",
       "      <td>1187</td>\n",
       "      <td>...</td>\n",
       "      <td>3599</td>\n",
       "      <td>0.390291</td>\n",
       "      <td>5.413592</td>\n",
       "      <td>15.271650</td>\n",
       "      <td>4.060777</td>\n",
       "      <td>0.891262</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>2.304854</td>\n",
       "      <td>2.446602</td>\n",
       "      <td>6.988350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>2207</td>\n",
       "      <td>joe johnson</td>\n",
       "      <td>767</td>\n",
       "      <td>2485</td>\n",
       "      <td>2943.0</td>\n",
       "      <td>11779.2</td>\n",
       "      <td>3110.9</td>\n",
       "      <td>335</td>\n",
       "      <td>761</td>\n",
       "      <td>1780</td>\n",
       "      <td>...</td>\n",
       "      <td>5986</td>\n",
       "      <td>0.436767</td>\n",
       "      <td>3.239896</td>\n",
       "      <td>15.357497</td>\n",
       "      <td>4.055932</td>\n",
       "      <td>0.992177</td>\n",
       "      <td>3.837027</td>\n",
       "      <td>2.320730</td>\n",
       "      <td>2.492829</td>\n",
       "      <td>7.804433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>202366</td>\n",
       "      <td>jerome jordan</td>\n",
       "      <td>88</td>\n",
       "      <td>30</td>\n",
       "      <td>104.7</td>\n",
       "      <td>421.2</td>\n",
       "      <td>228.2</td>\n",
       "      <td>48</td>\n",
       "      <td>96</td>\n",
       "      <td>176</td>\n",
       "      <td>...</td>\n",
       "      <td>241</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.340909</td>\n",
       "      <td>4.786364</td>\n",
       "      <td>2.593182</td>\n",
       "      <td>1.090909</td>\n",
       "      <td>1.189773</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.931818</td>\n",
       "      <td>2.738636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>202711</td>\n",
       "      <td>bojan bogdanovic</td>\n",
       "      <td>360</td>\n",
       "      <td>389</td>\n",
       "      <td>620.0</td>\n",
       "      <td>5605.9</td>\n",
       "      <td>1776.0</td>\n",
       "      <td>151</td>\n",
       "      <td>354</td>\n",
       "      <td>890</td>\n",
       "      <td>...</td>\n",
       "      <td>1663</td>\n",
       "      <td>0.419444</td>\n",
       "      <td>1.080556</td>\n",
       "      <td>15.571944</td>\n",
       "      <td>4.933333</td>\n",
       "      <td>0.983333</td>\n",
       "      <td>1.722222</td>\n",
       "      <td>2.472222</td>\n",
       "      <td>2.483333</td>\n",
       "      <td>4.619444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>101127</td>\n",
       "      <td>jarrett jack</td>\n",
       "      <td>612</td>\n",
       "      <td>3368</td>\n",
       "      <td>3354.1</td>\n",
       "      <td>8875.3</td>\n",
       "      <td>2395.1</td>\n",
       "      <td>273</td>\n",
       "      <td>572</td>\n",
       "      <td>1332</td>\n",
       "      <td>...</td>\n",
       "      <td>4121</td>\n",
       "      <td>0.446078</td>\n",
       "      <td>5.503268</td>\n",
       "      <td>14.502124</td>\n",
       "      <td>3.913562</td>\n",
       "      <td>0.934641</td>\n",
       "      <td>5.480556</td>\n",
       "      <td>2.176471</td>\n",
       "      <td>2.563725</td>\n",
       "      <td>6.733660</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>281 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     player_id                    name  SHOTS_TAKEN  DRIBBLES  TOUCH_TIME  \\\n",
       "0       203148           brian roberts          372      1229      1343.7   \n",
       "1       202687         bismack biyombo          114        36       155.0   \n",
       "2         2744            al jefferson          800       557      2101.8   \n",
       "3       203469             cody zeller          355       139       449.5   \n",
       "4       202390               gary neal          459      1173      1454.5   \n",
       "5       201945        gerald henderson          563      1044      1468.4   \n",
       "6       202689            kemba walker          695      3457      3419.6   \n",
       "7       203077  michael kidd-gilchrist          369       478       711.7   \n",
       "8       202362        lance stephenson          436      1290      1557.0   \n",
       "9       101107         marvin williams          318        92       369.7   \n",
       "10      101131           jason maxiell          129        51       171.4   \n",
       "11      202330          gordon hayward          867      2561      3056.0   \n",
       "12      202344           trevor booker          327       216       432.1   \n",
       "13      202683             enes kanter          639       286      1023.1   \n",
       "14      202324          derrick favors          677       393      1154.6   \n",
       "15      203957              dante exum          285       405       585.9   \n",
       "16      204060              jon ingles          220       234       443.4   \n",
       "17      203504              trey burke          783      2393      2625.3   \n",
       "18      203497             rudy gobert          267        71       287.7   \n",
       "19        2430           carlos boozer          620       437      1239.8   \n",
       "20      202391              jeremy lin          515      2401      2620.0   \n",
       "21         977             kobe bryant          713      2492      3301.9   \n",
       "22      202334                ed davis          350       124       424.5   \n",
       "23      101179            ronnie price          223       644       778.6   \n",
       "24      201961         wayne ellington          438       861      1143.0   \n",
       "25      202325          wesley johnson          472       359       764.6   \n",
       "26      201941             jordan hill          614       299      1180.0   \n",
       "27      201156              nick young          473      1346      1653.2   \n",
       "28      203135            robert sacre          242       176       514.6   \n",
       "29      203084         harrison barnes          463       418       823.6   \n",
       "..         ...                     ...          ...       ...         ...   \n",
       "251     203503              tony snell          229       228       389.1   \n",
       "252     201166            aaron brooks          561      3031      2782.1   \n",
       "253     201149             joakim noah          340       136       446.7   \n",
       "254     203468             cj mccollum          174       468       559.0   \n",
       "255     202083         wesley matthews          748       882      1589.1   \n",
       "256       2581             steve blake          247       852       878.7   \n",
       "257     200746       lamarcus aldridge         1050      1331      2584.2   \n",
       "258     203459             alan crabbe           94        35       121.0   \n",
       "259     201587           nicolas batum          450       573       910.1   \n",
       "260     203081          damian lillard          986      4884      5043.2   \n",
       "261       2549             chris kaman          434       338       834.7   \n",
       "262     203952          andrew wiggins          797      1051      1842.3   \n",
       "263     203476            gorgui dieng          407       169       816.0   \n",
       "264       2590             mo williams          559      2950      2767.2   \n",
       "265     203461         anthony bennett          274       107       349.9   \n",
       "266     203897             zach lavine          371      1472      1564.6   \n",
       "267     203498        shabazz muhammad          391       396       651.1   \n",
       "268     201152          thaddeus young          694       829      1643.3   \n",
       "269     201978          chase budinger          199        96       237.7   \n",
       "270     203133           robbie hummel          119        54       132.8   \n",
       "271     201572             brook lopez          631       418      1230.3   \n",
       "272     203141         mirza teletovic          318       189       439.9   \n",
       "273     203486           mason plumlee          403       223       616.8   \n",
       "274        708           kevin garnett          301       118       439.5   \n",
       "275     101187           alan anderson          337       433       758.4   \n",
       "276     101114          deron williams          515      2788      2781.0   \n",
       "277       2207             joe johnson          767      2485      2943.0   \n",
       "278     202366           jerome jordan           88        30       104.7   \n",
       "279     202711        bojan bogdanovic          360       389       620.0   \n",
       "280     101127            jarrett jack          612      3368      3354.1   \n",
       "\n",
       "     SHOT_DIST  CLOSE_DEF_DIST  SHOTS_MADE  PTS  PTS_TYPE       ...         \\\n",
       "0       6957.5          1767.0         149  347       897       ...          \n",
       "1        459.3           267.6          64  128       228       ...          \n",
       "2       7452.3          2423.9         382  766      1603       ...          \n",
       "3       3774.6          1582.4         165  331       711       ...          \n",
       "4       8018.9          1700.3         168  384      1078       ...          \n",
       "5       8197.1          2255.9         246  523      1222       ...          \n",
       "6      10313.4          2682.4         278  622      1596       ...          \n",
       "7       3530.7          1216.1         174  348       738       ...          \n",
       "8       6210.1          1800.5         159  331       959       ...          \n",
       "9       6168.2          1850.0         140  341       810       ...          \n",
       "10      1140.9           437.1          54  108       258       ...          \n",
       "11     12760.8          3946.3         389  875      1997       ...          \n",
       "12      3492.1          1380.6         162  343       711       ...          \n",
       "13      5455.1          2276.2         318  649      1319       ...          \n",
       "14      5232.8          2081.4         369  738      1355       ...          \n",
       "15      5559.7          1674.0          98  249       747       ...          \n",
       "16      4078.9          1244.2          90  221       569       ...          \n",
       "17     13184.9          3142.9         294  684      1867       ...          \n",
       "18       948.2           647.3         167  334       535       ...          \n",
       "19      6112.2          2160.5         319  638      1240       ...          \n",
       "20      7422.6          1928.9         226  506      1177       ...          \n",
       "21     11718.0          2307.9         266  586      1610       ...          \n",
       "22      1546.5           783.0         211  422       700       ...          \n",
       "23      3913.9           978.5          77  185       555       ...          \n",
       "24      8175.4          1904.0         189  441      1049       ...          \n",
       "25      8605.3          2262.7         197  463      1132       ...          \n",
       "26      7213.5          2711.0         285  571      1232       ...          \n",
       "27      9004.6          1654.7         174  431      1170       ...          \n",
       "28      2600.2           937.5         100  200       484       ...          \n",
       "29      6384.4          2439.6         227  521      1081       ...          \n",
       "..         ...             ...         ...  ...       ...       ...          \n",
       "251     3917.1          1127.9         105  260       581       ...          \n",
       "252     8464.7          2059.9         233  555      1340       ...          \n",
       "253     2548.2          1219.5         149  298       682       ...          \n",
       "254     2892.8           812.7          68  167       425       ...          \n",
       "255    13854.6          3642.9         336  845      1939       ...          \n",
       "256     5208.4          1398.6          93  241       652       ...          \n",
       "257    14297.8          4275.8         473  971      2167       ...          \n",
       "258     1807.7           550.4          40  102       245       ...          \n",
       "259     8306.1          2556.9         175  417      1132       ...          \n",
       "260    16110.0          4091.0         426  995      2395       ...          \n",
       "261     3719.8          1339.2         213  426       868       ...          \n",
       "262     9662.3          2753.9         348  730      1695       ...          \n",
       "263     3171.1          1336.5         201  403       818       ...          \n",
       "264    10938.9          2350.1         233  548      1344       ...          \n",
       "265     3766.1          1286.3         114  233       565       ...          \n",
       "266     5481.9          1538.4         157  337       819       ...          \n",
       "267     3881.6          1234.5         191  402       833       ...          \n",
       "268     6960.3          2551.0         324  673      1463       ...          \n",
       "269     3077.5           835.2          74  173       472       ...          \n",
       "270     1886.2           640.1          57  124       272       ...          \n",
       "271     6341.9          2377.0         308  617      1270       ...          \n",
       "272     5831.7          1515.0         122  306       828       ...          \n",
       "273     1722.0          1135.5         236  472       809       ...          \n",
       "274     4351.6          1529.2         140  281       609       ...          \n",
       "275     5599.9          1383.6         146  352       848       ...          \n",
       "276     7864.9          2091.3         201  459      1187       ...          \n",
       "277    11779.2          3110.9         335  761      1780       ...          \n",
       "278      421.2           228.2          48   96       176       ...          \n",
       "279     5605.9          1776.0         151  354       890       ...          \n",
       "280     8875.3          2395.1         273  572      1332       ...          \n",
       "\n",
       "     SHOT_NUMBER       FG%  AVG_DRIBBLES  AVG_SHOT_DIST  AVG_CLOSE_DEF_DIST  \\\n",
       "0           1711  0.400538      3.303763      18.702957            4.750000   \n",
       "1            343  0.561404      0.315789       4.028947            2.347368   \n",
       "2           7230  0.477500      0.696250       9.315375            3.029875   \n",
       "3           1387  0.464789      0.391549      10.632676            4.457465   \n",
       "4           2631  0.366013      2.555556      17.470370            3.704357   \n",
       "5           3630  0.436945      1.854352      14.559680            4.006927   \n",
       "6           6734  0.400000      4.974101      14.839424            3.859568   \n",
       "7           2004  0.471545      1.295393       9.568293            3.295664   \n",
       "8           2615  0.364679      2.958716      14.243349            4.129587   \n",
       "9           1221  0.440252      0.289308      19.396855            5.817610   \n",
       "10           360  0.418605      0.395349       8.844186            3.388372   \n",
       "11          7038  0.448674      2.953864      14.718339            4.551672   \n",
       "12          1249  0.495413      0.660550      10.679205            4.222018   \n",
       "13          4439  0.497653      0.447574       8.536933            3.562128   \n",
       "14          4855  0.545052      0.580502       7.729394            3.074446   \n",
       "15           998  0.343860      1.421053      19.507719            5.873684   \n",
       "16           721  0.409091      1.063636      18.540455            5.655455   \n",
       "17          5989  0.375479      3.056194      16.838953            4.013921   \n",
       "18           921  0.625468      0.265918       3.551311            2.424345   \n",
       "19          3919  0.514516      0.704839       9.858387            3.484677   \n",
       "20          2862  0.438835      4.662136      14.412816            3.745437   \n",
       "21          8402  0.373072      3.495091      16.434783            3.236886   \n",
       "22          1360  0.602857      0.354286       4.418571            2.237143   \n",
       "23           826  0.345291      2.887892      17.551121            4.387892   \n",
       "24          2577  0.431507      1.965753      18.665297            4.347032   \n",
       "25          2488  0.417373      0.760593      18.231568            4.793856   \n",
       "26          4120  0.464169      0.486971      11.748371            4.415309   \n",
       "27          3093  0.367865      2.845666      19.037209            3.498309   \n",
       "28           881  0.413223      0.727273      10.744628            3.873967   \n",
       "29          2329  0.490281      0.902808      13.789201            5.269114   \n",
       "..           ...       ...           ...            ...                 ...   \n",
       "251         1020  0.458515      0.995633      17.105240            4.925328   \n",
       "252         3335  0.415330      5.402852      15.088592            3.671836   \n",
       "253         1556  0.438235      0.400000       7.494706            3.586765   \n",
       "254          636  0.390805      2.689655      16.625287            4.670690   \n",
       "255         5538  0.449198      1.179144      18.522193            4.870187   \n",
       "256          732  0.376518      3.449393      21.086640            5.662348   \n",
       "257        11642  0.450476      1.267619      13.616952            4.072190   \n",
       "258          236  0.425532      0.372340      19.230851            5.855319   \n",
       "259         2349  0.388889      1.273333      18.458000            5.682000   \n",
       "260         9320  0.432049      4.953347      16.338742            4.149087   \n",
       "261         2116  0.490783      0.778802       8.570968            3.085714   \n",
       "262         6406  0.436637      1.318695      12.123338            3.455332   \n",
       "263         1864  0.493857      0.415233       7.791400            3.283784   \n",
       "264         4301  0.416816      5.277281      19.568694            4.204114   \n",
       "265         1143  0.416058      0.390511      13.744891            4.694526   \n",
       "266         1870  0.423181      3.967655      14.776011            4.146631   \n",
       "267         2737  0.488491      1.012788       9.927366            3.157289   \n",
       "268         5255  0.466859      1.194524      10.029251            3.675793   \n",
       "269          706  0.371859      0.482412      15.464824            4.196985   \n",
       "270          382  0.478992      0.453782      15.850420            5.378992   \n",
       "271         5057  0.488114      0.662441      10.050555            3.767036   \n",
       "272         1626  0.383648      0.594340      18.338679            4.764151   \n",
       "273         1905  0.585608      0.553350       4.272953            2.817618   \n",
       "274         1346  0.465116      0.392027      14.457143            5.080399   \n",
       "275         1332  0.433234      1.284866      16.616914            4.105638   \n",
       "276         3599  0.390291      5.413592      15.271650            4.060777   \n",
       "277         5986  0.436767      3.239896      15.357497            4.055932   \n",
       "278          241  0.545455      0.340909       4.786364            2.593182   \n",
       "279         1663  0.419444      1.080556      15.571944            4.933333   \n",
       "280         4121  0.446078      5.503268      14.502124            3.913562   \n",
       "\n",
       "      AVG_PTS  AVG_TOUCH_TIME  AVG_PTS_TYPE  AVG_PERIOD  AVG_SHOT_NUMBER  \n",
       "0    0.932796        3.612097      2.411290    2.666667         4.599462  \n",
       "1    1.122807        1.359649      2.000000    2.359649         3.008772  \n",
       "2    0.957500        2.627250      2.003750    2.446250         9.037500  \n",
       "3    0.932394        1.266197      2.002817    2.281690         3.907042  \n",
       "4    0.836601        3.168845      2.348584    2.775599         5.732026  \n",
       "5    0.928952        2.608171      2.170515    2.477798         6.447602  \n",
       "6    0.894964        4.920288      2.296403    2.541007         9.689209  \n",
       "7    0.943089        1.928726      2.000000    2.192412         5.430894  \n",
       "8    0.759174        3.571101      2.199541    2.394495         5.997706  \n",
       "9    1.072327        1.162579      2.547170    2.380503         3.839623  \n",
       "10   0.837209        1.328682      2.000000    2.612403         2.790698  \n",
       "11   1.009227        3.524798      2.303345    2.427912         8.117647  \n",
       "12   1.048930        1.321407      2.174312    2.495413         3.819572  \n",
       "13   1.015649        1.601095      2.064163    2.399061         6.946792  \n",
       "14   1.090103        1.705465      2.001477    2.369276         7.171344  \n",
       "15   0.873684        2.055789      2.621053    2.480702         3.501754  \n",
       "16   1.004545        2.015455      2.586364    2.413636         3.277273  \n",
       "17   0.873563        3.352874      2.384419    2.630907         7.648787  \n",
       "18   1.250936        1.077528      2.003745    2.430712         3.449438  \n",
       "19   1.029032        1.999677      2.000000    2.362903         6.320968  \n",
       "20   0.982524        5.087379      2.285437    2.603883         5.557282  \n",
       "21   0.821879        4.630996      2.258065    2.507714        11.784011  \n",
       "22   1.205714        1.212857      2.000000    2.402857         3.885714  \n",
       "23   0.829596        3.491480      2.488789    2.466368         3.704036  \n",
       "24   1.006849        2.609589      2.394977    2.646119         5.883562  \n",
       "25   0.980932        1.619915      2.398305    2.453390         5.271186  \n",
       "26   0.929967        1.921824      2.006515    2.350163         6.710098  \n",
       "27   0.911205        3.495137      2.473573    2.773784         6.539112  \n",
       "28   0.826446        2.126446      2.000000    2.520661         3.640496  \n",
       "29   1.125270        1.778834      2.334773    2.358531         5.030238  \n",
       "..        ...             ...           ...         ...              ...  \n",
       "251  1.135371        1.699127      2.537118    2.541485         4.454148  \n",
       "252  0.989305        4.959180      2.388592    2.828877         5.944742  \n",
       "253  0.876471        1.313824      2.005882    2.526471         4.576471  \n",
       "254  0.959770        3.212644      2.442529    2.683908         3.655172  \n",
       "255  1.129679        2.124465      2.592246    2.594920         7.403743  \n",
       "256  0.975709        3.557490      2.639676    2.587045         2.963563  \n",
       "257  0.924762        2.461143      2.063810    2.366667        11.087619  \n",
       "258  1.085106        1.287234      2.606383    2.393617         2.510638  \n",
       "259  0.926667        2.022444      2.515556    2.328889         5.220000  \n",
       "260  1.009128        5.114807      2.429006    2.692698         9.452333  \n",
       "261  0.981567        1.923272      2.000000    2.304147         4.875576  \n",
       "262  0.915935        2.311543      2.126725    2.361355         8.037641  \n",
       "263  0.990172        2.004914      2.009828    2.304668         4.579853  \n",
       "264  0.980322        4.950268      2.404293    2.475850         7.694097  \n",
       "265  0.850365        1.277007      2.062044    2.459854         4.171533  \n",
       "266  0.908356        4.217251      2.207547    2.649596         5.040431  \n",
       "267  1.028133        1.665217      2.130435    2.503836         7.000000  \n",
       "268  0.969741        2.367867      2.108069    2.345821         7.572046  \n",
       "269  0.869347        1.194472      2.371859    2.587940         3.547739  \n",
       "270  1.042017        1.115966      2.285714    3.016807         3.210084  \n",
       "271  0.977813        1.949762      2.012678    2.301109         8.014263  \n",
       "272  0.962264        1.383333      2.603774    2.581761         5.113208  \n",
       "273  1.171216        1.530521      2.007444    2.292804         4.727047  \n",
       "274  0.933555        1.460133      2.023256    2.176080         4.471761  \n",
       "275  1.044510        2.250445      2.516320    2.569733         3.952522  \n",
       "276  0.891262        5.400000      2.304854    2.446602         6.988350  \n",
       "277  0.992177        3.837027      2.320730    2.492829         7.804433  \n",
       "278  1.090909        1.189773      2.000000    2.931818         2.738636  \n",
       "279  0.983333        1.722222      2.472222    2.483333         4.619444  \n",
       "280  0.934641        5.480556      2.176471    2.563725         6.733660  \n",
       "\n",
       "[281 rows x 21 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shooter_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Only take shooters with significant number of shots\n",
    "shooter_dfs = shooter_df[shooter_df.SHOTS_TAKEN > 200]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "correlations = shooter_dfs[['SHOTS_TAKEN', 'FG%', 'AVG_DRIBBLES', 'AVG_SHOT_DIST', 'AVG_CLOSE_DEF_DIST', 'AVG_PTS', 'AVG_PTS_TYPE', 'AVG_PERIOD', 'AVG_SHOT_NUMBER', 'AVG_TOUCH_TIME']].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1282f8410>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Ua9GJXxdNo+Mbo/F/rAhRm37l5tV/KPREsXvs7e4sFgvTp07hiy+/wsNkom+f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\n70SIqUXzZMYVow1hkWR9xb1aNDP7cewY6phGfraIF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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1282eb150>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,8))\n",
    "sns.heatmap(correlations, annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initial Insights\n",
    "\n",
    "Here are some insights from the offensive analysis heatmap:\n",
    "   - The more a player dribbles, the more likely they are to take more shots\n",
    "   - The more shots taken, the defender will be slightly closer on average\n",
    "   - The longer a shooter dribbles or holds the ball, the less chance of them making the field goal\n",
    "       - This is probably related to the fact that ball handlers take more 3 pointers\n",
    "   - The longer a shooter dribbles or holds the ball, the less points they're likely to have per shot\n",
    "       - Interesting that the more that players possess the ball before a shot, the more shots they take, but the less their average points per shot is.  This is a sign that selfishness ruins offenses.\n",
    "   - FG% is higher for those who shoot more in earlier periods\n",
    "   - The further away the defender is, the higher the FG%\n",
    "   - The more a shooter dribbles, the more shots they take later in the game\n",
    "   - Further away shots are take by players who shoot later in the game\n",
    "   - Defenders are likely to be further away from players who shoot later in the game\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>player_id</th>\n",
       "      <th>name</th>\n",
       "      <th>SHOTS_TAKEN</th>\n",
       "      <th>DRIBBLES</th>\n",
       "      <th>TOUCH_TIME</th>\n",
       "      <th>SHOT_DIST</th>\n",
       "      <th>CLOSE_DEF_DIST</th>\n",
       "      <th>SHOTS_MADE</th>\n",
       "      <th>PTS</th>\n",
       "      <th>PTS_TYPE</th>\n",
       "      <th>...</th>\n",
       "      <th>SHOT_NUMBER</th>\n",
       "      <th>FG%</th>\n",
       "      <th>AVG_DRIBBLES</th>\n",
       "      <th>AVG_SHOT_DIST</th>\n",
       "      <th>AVG_CLOSE_DEF_DIST</th>\n",
       "      <th>AVG_PTS</th>\n",
       "      <th>AVG_TOUCH_TIME</th>\n",
       "      <th>AVG_PTS_TYPE</th>\n",
       "      <th>AVG_PERIOD</th>\n",
       "      <th>AVG_SHOT_NUMBER</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>201599</td>\n",
       "      <td>deandre jordan</td>\n",
       "      <td>393</td>\n",
       "      <td>62</td>\n",
       "      <td>306.4</td>\n",
       "      <td>1343.2</td>\n",
       "      <td>1136.8</td>\n",
       "      <td>280</td>\n",
       "      <td>560</td>\n",
       "      <td>789</td>\n",
       "      <td>...</td>\n",
       "      <td>1629</td>\n",
       "      <td>0.712468</td>\n",
       "      <td>0.157761</td>\n",
       "      <td>3.417812</td>\n",
       "      <td>2.892621</td>\n",
       "      <td>1.424936</td>\n",
       "      <td>0.779644</td>\n",
       "      <td>2.007634</td>\n",
       "      <td>2.229008</td>\n",
       "      <td>4.145038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2199</td>\n",
       "      <td>tyson chandler</td>\n",
       "      <td>340</td>\n",
       "      <td>39</td>\n",
       "      <td>300.2</td>\n",
       "      <td>1404.4</td>\n",
       "      <td>1095.5</td>\n",
       "      <td>230</td>\n",
       "      <td>460</td>\n",
       "      <td>680</td>\n",
       "      <td>...</td>\n",
       "      <td>1442</td>\n",
       "      <td>0.676471</td>\n",
       "      <td>0.114706</td>\n",
       "      <td>4.130588</td>\n",
       "      <td>3.222059</td>\n",
       "      <td>1.352941</td>\n",
       "      <td>0.882941</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.297059</td>\n",
       "      <td>4.241176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>203497</td>\n",
       "      <td>rudy gobert</td>\n",
       "      <td>267</td>\n",
       "      <td>71</td>\n",
       "      <td>287.7</td>\n",
       "      <td>948.2</td>\n",
       "      <td>647.3</td>\n",
       "      <td>167</td>\n",
       "      <td>334</td>\n",
       "      <td>535</td>\n",
       "      <td>...</td>\n",
       "      <td>921</td>\n",
       "      <td>0.625468</td>\n",
       "      <td>0.265918</td>\n",
       "      <td>3.551311</td>\n",
       "      <td>2.424345</td>\n",
       "      <td>1.250936</td>\n",
       "      <td>1.077528</td>\n",
       "      <td>2.003745</td>\n",
       "      <td>2.430712</td>\n",
       "      <td>3.449438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>201949</td>\n",
       "      <td>james johnson</td>\n",
       "      <td>311</td>\n",
       "      <td>579</td>\n",
       "      <td>820.2</td>\n",
       "      <td>2439.9</td>\n",
       "      <td>1085.5</td>\n",
       "      <td>191</td>\n",
       "      <td>392</td>\n",
       "      <td>663</td>\n",
       "      <td>...</td>\n",
       "      <td>1455</td>\n",
       "      <td>0.614148</td>\n",
       "      <td>1.861736</td>\n",
       "      <td>7.845338</td>\n",
       "      <td>3.490354</td>\n",
       "      <td>1.260450</td>\n",
       "      <td>2.637299</td>\n",
       "      <td>2.131833</td>\n",
       "      <td>2.565916</td>\n",
       "      <td>4.678457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>202334</td>\n",
       "      <td>ed davis</td>\n",
       "      <td>350</td>\n",
       "      <td>124</td>\n",
       "      <td>424.5</td>\n",
       "      <td>1546.5</td>\n",
       "      <td>783.0</td>\n",
       "      <td>211</td>\n",
       "      <td>422</td>\n",
       "      <td>700</td>\n",
       "      <td>...</td>\n",
       "      <td>1360</td>\n",
       "      <td>0.602857</td>\n",
       "      <td>0.354286</td>\n",
       "      <td>4.418571</td>\n",
       "      <td>2.237143</td>\n",
       "      <td>1.205714</td>\n",
       "      <td>1.212857</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.402857</td>\n",
       "      <td>3.885714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>201582</td>\n",
       "      <td>alexis ajinca</td>\n",
       "      <td>211</td>\n",
       "      <td>82</td>\n",
       "      <td>298.9</td>\n",
       "      <td>1728.5</td>\n",
       "      <td>767.2</td>\n",
       "      <td>126</td>\n",
       "      <td>252</td>\n",
       "      <td>422</td>\n",
       "      <td>...</td>\n",
       "      <td>871</td>\n",
       "      <td>0.597156</td>\n",
       "      <td>0.388626</td>\n",
       "      <td>8.191943</td>\n",
       "      <td>3.636019</td>\n",
       "      <td>1.194313</td>\n",
       "      <td>1.416588</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.616114</td>\n",
       "      <td>4.127962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>203486</td>\n",
       "      <td>mason plumlee</td>\n",
       "      <td>403</td>\n",
       "      <td>223</td>\n",
       "      <td>616.8</td>\n",
       "      <td>1722.0</td>\n",
       "      <td>1135.5</td>\n",
       "      <td>236</td>\n",
       "      <td>472</td>\n",
       "      <td>809</td>\n",
       "      <td>...</td>\n",
       "      <td>1905</td>\n",
       "      <td>0.585608</td>\n",
       "      <td>0.553350</td>\n",
       "      <td>4.272953</td>\n",
       "      <td>2.817618</td>\n",
       "      <td>1.171216</td>\n",
       "      <td>1.530521</td>\n",
       "      <td>2.007444</td>\n",
       "      <td>2.292804</td>\n",
       "      <td>4.727047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>203089</td>\n",
       "      <td>john henson</td>\n",
       "      <td>241</td>\n",
       "      <td>127</td>\n",
       "      <td>370.6</td>\n",
       "      <td>1197.4</td>\n",
       "      <td>641.4</td>\n",
       "      <td>140</td>\n",
       "      <td>280</td>\n",
       "      <td>482</td>\n",
       "      <td>...</td>\n",
       "      <td>948</td>\n",
       "      <td>0.580913</td>\n",
       "      <td>0.526971</td>\n",
       "      <td>4.968465</td>\n",
       "      <td>2.661411</td>\n",
       "      <td>1.161826</td>\n",
       "      <td>1.537759</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.464730</td>\n",
       "      <td>3.933610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>101161</td>\n",
       "      <td>amir johnson</td>\n",
       "      <td>402</td>\n",
       "      <td>209</td>\n",
       "      <td>558.6</td>\n",
       "      <td>2788.8</td>\n",
       "      <td>1243.2</td>\n",
       "      <td>233</td>\n",
       "      <td>480</td>\n",
       "      <td>838</td>\n",
       "      <td>...</td>\n",
       "      <td>1902</td>\n",
       "      <td>0.579602</td>\n",
       "      <td>0.519900</td>\n",
       "      <td>6.937313</td>\n",
       "      <td>3.092537</td>\n",
       "      <td>1.194030</td>\n",
       "      <td>1.389552</td>\n",
       "      <td>2.084577</td>\n",
       "      <td>2.365672</td>\n",
       "      <td>4.731343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>2730</td>\n",
       "      <td>dwight howard</td>\n",
       "      <td>334</td>\n",
       "      <td>310</td>\n",
       "      <td>827.6</td>\n",
       "      <td>1404.7</td>\n",
       "      <td>798.5</td>\n",
       "      <td>192</td>\n",
       "      <td>385</td>\n",
       "      <td>670</td>\n",
       "      <td>...</td>\n",
       "      <td>2212</td>\n",
       "      <td>0.574850</td>\n",
       "      <td>0.928144</td>\n",
       "      <td>4.205689</td>\n",
       "      <td>2.390719</td>\n",
       "      <td>1.152695</td>\n",
       "      <td>2.477844</td>\n",
       "      <td>2.005988</td>\n",
       "      <td>2.242515</td>\n",
       "      <td>6.622754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>202685</td>\n",
       "      <td>jonas valanciunas</td>\n",
       "      <td>486</td>\n",
       "      <td>337</td>\n",
       "      <td>994.7</td>\n",
       "      <td>2743.2</td>\n",
       "      <td>1361.1</td>\n",
       "      <td>274</td>\n",
       "      <td>548</td>\n",
       "      <td>972</td>\n",
       "      <td>...</td>\n",
       "      <td>2602</td>\n",
       "      <td>0.563786</td>\n",
       "      <td>0.693416</td>\n",
       "      <td>5.644444</td>\n",
       "      <td>2.800617</td>\n",
       "      <td>1.127572</td>\n",
       "      <td>2.046708</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.090535</td>\n",
       "      <td>5.353909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>101106</td>\n",
       "      <td>andrew bogut</td>\n",
       "      <td>239</td>\n",
       "      <td>178</td>\n",
       "      <td>375.5</td>\n",
       "      <td>1238.8</td>\n",
       "      <td>741.9</td>\n",
       "      <td>132</td>\n",
       "      <td>264</td>\n",
       "      <td>478</td>\n",
       "      <td>...</td>\n",
       "      <td>906</td>\n",
       "      <td>0.552301</td>\n",
       "      <td>0.744770</td>\n",
       "      <td>5.183264</td>\n",
       "      <td>3.104184</td>\n",
       "      <td>1.104603</td>\n",
       "      <td>1.571130</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.071130</td>\n",
       "      <td>3.790795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>2405</td>\n",
       "      <td>amare stoudemire</td>\n",
       "      <td>336</td>\n",
       "      <td>223</td>\n",
       "      <td>819.1</td>\n",
       "      <td>2209.6</td>\n",
       "      <td>890.2</td>\n",
       "      <td>185</td>\n",
       "      <td>370</td>\n",
       "      <td>675</td>\n",
       "      <td>...</td>\n",
       "      <td>1841</td>\n",
       "      <td>0.550595</td>\n",
       "      <td>0.663690</td>\n",
       "      <td>6.576190</td>\n",
       "      <td>2.649405</td>\n",
       "      <td>1.101190</td>\n",
       "      <td>2.437798</td>\n",
       "      <td>2.008929</td>\n",
       "      <td>2.401786</td>\n",
       "      <td>5.479167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>203382</td>\n",
       "      <td>aron baynes</td>\n",
       "      <td>257</td>\n",
       "      <td>54</td>\n",
       "      <td>287.2</td>\n",
       "      <td>1540.3</td>\n",
       "      <td>788.5</td>\n",
       "      <td>141</td>\n",
       "      <td>283</td>\n",
       "      <td>518</td>\n",
       "      <td>...</td>\n",
       "      <td>985</td>\n",
       "      <td>0.548638</td>\n",
       "      <td>0.210117</td>\n",
       "      <td>5.993385</td>\n",
       "      <td>3.068093</td>\n",
       "      <td>1.101167</td>\n",
       "      <td>1.117510</td>\n",
       "      <td>2.015564</td>\n",
       "      <td>2.319066</td>\n",
       "      <td>3.832685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>203500</td>\n",
       "      <td>steve adams</td>\n",
       "      <td>274</td>\n",
       "      <td>123</td>\n",
       "      <td>475.8</td>\n",
       "      <td>1334.9</td>\n",
       "      <td>700.2</td>\n",
       "      <td>150</td>\n",
       "      <td>300</td>\n",
       "      <td>549</td>\n",
       "      <td>...</td>\n",
       "      <td>1059</td>\n",
       "      <td>0.547445</td>\n",
       "      <td>0.448905</td>\n",
       "      <td>4.871898</td>\n",
       "      <td>2.555474</td>\n",
       "      <td>1.094891</td>\n",
       "      <td>1.736496</td>\n",
       "      <td>2.003650</td>\n",
       "      <td>2.291971</td>\n",
       "      <td>3.864964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>203092</td>\n",
       "      <td>tyler zeller</td>\n",
       "      <td>419</td>\n",
       "      <td>169</td>\n",
       "      <td>586.6</td>\n",
       "      <td>2613.9</td>\n",
       "      <td>1244.8</td>\n",
       "      <td>229</td>\n",
       "      <td>458</td>\n",
       "      <td>838</td>\n",
       "      <td>...</td>\n",
       "      <td>2115</td>\n",
       "      <td>0.546539</td>\n",
       "      <td>0.403341</td>\n",
       "      <td>6.238425</td>\n",
       "      <td>2.970883</td>\n",
       "      <td>1.093079</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.274463</td>\n",
       "      <td>5.047733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>101162</td>\n",
       "      <td>marcin gortat</td>\n",
       "      <td>570</td>\n",
       "      <td>281</td>\n",
       "      <td>953.1</td>\n",
       "      <td>4204.1</td>\n",
       "      <td>1883.2</td>\n",
       "      <td>311</td>\n",
       "      <td>622</td>\n",
       "      <td>1143</td>\n",
       "      <td>...</td>\n",
       "      <td>3282</td>\n",
       "      <td>0.545614</td>\n",
       "      <td>0.492982</td>\n",
       "      <td>7.375614</td>\n",
       "      <td>3.303860</td>\n",
       "      <td>1.091228</td>\n",
       "      <td>1.672105</td>\n",
       "      <td>2.005263</td>\n",
       "      <td>2.114035</td>\n",
       "      <td>5.757895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>202684</td>\n",
       "      <td>tristan thompson</td>\n",
       "      <td>396</td>\n",
       "      <td>176</td>\n",
       "      <td>513.6</td>\n",
       "      <td>1791.5</td>\n",
       "      <td>1058.5</td>\n",
       "      <td>216</td>\n",
       "      <td>432</td>\n",
       "      <td>792</td>\n",
       "      <td>...</td>\n",
       "      <td>1768</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>4.523990</td>\n",
       "      <td>2.672980</td>\n",
       "      <td>1.090909</td>\n",
       "      <td>1.296970</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.547980</td>\n",
       "      <td>4.464646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>202324</td>\n",
       "      <td>derrick favors</td>\n",
       "      <td>677</td>\n",
       "      <td>393</td>\n",
       "      <td>1154.6</td>\n",
       "      <td>5232.8</td>\n",
       "      <td>2081.4</td>\n",
       "      <td>369</td>\n",
       "      <td>738</td>\n",
       "      <td>1355</td>\n",
       "      <td>...</td>\n",
       "      <td>4855</td>\n",
       "      <td>0.545052</td>\n",
       "      <td>0.580502</td>\n",
       "      <td>7.729394</td>\n",
       "      <td>3.074446</td>\n",
       "      <td>1.090103</td>\n",
       "      <td>1.705465</td>\n",
       "      <td>2.001477</td>\n",
       "      <td>2.369276</td>\n",
       "      <td>7.171344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>202389</td>\n",
       "      <td>timofey mozgov</td>\n",
       "      <td>428</td>\n",
       "      <td>142</td>\n",
       "      <td>568.8</td>\n",
       "      <td>2712.2</td>\n",
       "      <td>1413.1</td>\n",
       "      <td>233</td>\n",
       "      <td>468</td>\n",
       "      <td>862</td>\n",
       "      <td>...</td>\n",
       "      <td>1946</td>\n",
       "      <td>0.544393</td>\n",
       "      <td>0.331776</td>\n",
       "      <td>6.336916</td>\n",
       "      <td>3.301636</td>\n",
       "      <td>1.093458</td>\n",
       "      <td>1.328972</td>\n",
       "      <td>2.014019</td>\n",
       "      <td>2.147196</td>\n",
       "      <td>4.546729</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     player_id               name  SHOTS_TAKEN  DRIBBLES  TOUCH_TIME  \\\n",
       "239     201599     deandre jordan          393        62       306.4   \n",
       "78        2199     tyson chandler          340        39       300.2   \n",
       "18      203497        rudy gobert          267        71       287.7   \n",
       "74      201949      james johnson          311       579       820.2   \n",
       "22      202334           ed davis          350       124       424.5   \n",
       "66      201582      alexis ajinca          211        82       298.9   \n",
       "273     203486      mason plumlee          403       223       616.8   \n",
       "162     203089        john henson          241       127       370.6   \n",
       "71      101161       amir johnson          402       209       558.6   \n",
       "203       2730      dwight howard          334       310       827.6   \n",
       "75      202685  jonas valanciunas          486       337       994.7   \n",
       "35      101106       andrew bogut          239       178       375.5   \n",
       "184       2405   amare stoudemire          336       223       819.1   \n",
       "131     203382        aron baynes          257        54       287.2   \n",
       "234     203500        steve adams          274       123       475.8   \n",
       "117     203092       tyler zeller          419       169       586.6   \n",
       "48      101162      marcin gortat          570       281       953.1   \n",
       "100     202684   tristan thompson          396       176       513.6   \n",
       "14      202324     derrick favors          677       393      1154.6   \n",
       "138     202389     timofey mozgov          428       142       568.8   \n",
       "\n",
       "     SHOT_DIST  CLOSE_DEF_DIST  SHOTS_MADE  PTS  PTS_TYPE       ...         \\\n",
       "239     1343.2          1136.8         280  560       789       ...          \n",
       "78      1404.4          1095.5         230  460       680       ...          \n",
       "18       948.2           647.3         167  334       535       ...          \n",
       "74      2439.9          1085.5         191  392       663       ...          \n",
       "22      1546.5           783.0         211  422       700       ...          \n",
       "66      1728.5           767.2         126  252       422       ...          \n",
       "273     1722.0          1135.5         236  472       809       ...          \n",
       "162     1197.4           641.4         140  280       482       ...          \n",
       "71      2788.8          1243.2         233  480       838       ...          \n",
       "203     1404.7           798.5         192  385       670       ...          \n",
       "75      2743.2          1361.1         274  548       972       ...          \n",
       "35      1238.8           741.9         132  264       478       ...          \n",
       "184     2209.6           890.2         185  370       675       ...          \n",
       "131     1540.3           788.5         141  283       518       ...          \n",
       "234     1334.9           700.2         150  300       549       ...          \n",
       "117     2613.9          1244.8         229  458       838       ...          \n",
       "48      4204.1          1883.2         311  622      1143       ...          \n",
       "100     1791.5          1058.5         216  432       792       ...          \n",
       "14      5232.8          2081.4         369  738      1355       ...          \n",
       "138     2712.2          1413.1         233  468       862       ...          \n",
       "\n",
       "     SHOT_NUMBER       FG%  AVG_DRIBBLES  AVG_SHOT_DIST  AVG_CLOSE_DEF_DIST  \\\n",
       "239         1629  0.712468      0.157761       3.417812            2.892621   \n",
       "78          1442  0.676471      0.114706       4.130588            3.222059   \n",
       "18           921  0.625468      0.265918       3.551311            2.424345   \n",
       "74          1455  0.614148      1.861736       7.845338            3.490354   \n",
       "22          1360  0.602857      0.354286       4.418571            2.237143   \n",
       "66           871  0.597156      0.388626       8.191943            3.636019   \n",
       "273         1905  0.585608      0.553350       4.272953            2.817618   \n",
       "162          948  0.580913      0.526971       4.968465            2.661411   \n",
       "71          1902  0.579602      0.519900       6.937313            3.092537   \n",
       "203         2212  0.574850      0.928144       4.205689            2.390719   \n",
       "75          2602  0.563786      0.693416       5.644444            2.800617   \n",
       "35           906  0.552301      0.744770       5.183264            3.104184   \n",
       "184         1841  0.550595      0.663690       6.576190            2.649405   \n",
       "131          985  0.548638      0.210117       5.993385            3.068093   \n",
       "234         1059  0.547445      0.448905       4.871898            2.555474   \n",
       "117         2115  0.546539      0.403341       6.238425            2.970883   \n",
       "48          3282  0.545614      0.492982       7.375614            3.303860   \n",
       "100         1768  0.545455      0.444444       4.523990            2.672980   \n",
       "14          4855  0.545052      0.580502       7.729394            3.074446   \n",
       "138         1946  0.544393      0.331776       6.336916            3.301636   \n",
       "\n",
       "      AVG_PTS  AVG_TOUCH_TIME  AVG_PTS_TYPE  AVG_PERIOD  AVG_SHOT_NUMBER  \n",
       "239  1.424936        0.779644      2.007634    2.229008         4.145038  \n",
       "78   1.352941        0.882941      2.000000    2.297059         4.241176  \n",
       "18   1.250936        1.077528      2.003745    2.430712         3.449438  \n",
       "74   1.260450        2.637299      2.131833    2.565916         4.678457  \n",
       "22   1.205714        1.212857      2.000000    2.402857         3.885714  \n",
       "66   1.194313        1.416588      2.000000    2.616114         4.127962  \n",
       "273  1.171216        1.530521      2.007444    2.292804         4.727047  \n",
       "162  1.161826        1.537759      2.000000    2.464730         3.933610  \n",
       "71   1.194030        1.389552      2.084577    2.365672         4.731343  \n",
       "203  1.152695        2.477844      2.005988    2.242515         6.622754  \n",
       "75   1.127572        2.046708      2.000000    2.090535         5.353909  \n",
       "35   1.104603        1.571130      2.000000    2.071130         3.790795  \n",
       "184  1.101190        2.437798      2.008929    2.401786         5.479167  \n",
       "131  1.101167        1.117510      2.015564    2.319066         3.832685  \n",
       "234  1.094891        1.736496      2.003650    2.291971         3.864964  \n",
       "117  1.093079        1.400000      2.000000    2.274463         5.047733  \n",
       "48   1.091228        1.672105      2.005263    2.114035         5.757895  \n",
       "100  1.090909        1.296970      2.000000    2.547980         4.464646  \n",
       "14   1.090103        1.705465      2.001477    2.369276         7.171344  \n",
       "138  1.093458        1.328972      2.014019    2.147196         4.546729  \n",
       "\n",
       "[20 rows x 21 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Best percentage shooters\n",
    "shooter_dfs.sort_values('FG%', ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>player_id</th>\n",
       "      <th>name</th>\n",
       "      <th>SHOTS_TAKEN</th>\n",
       "      <th>DRIBBLES</th>\n",
       "      <th>TOUCH_TIME</th>\n",
       "      <th>SHOT_DIST</th>\n",
       "      <th>CLOSE_DEF_DIST</th>\n",
       "      <th>SHOTS_MADE</th>\n",
       "      <th>PTS</th>\n",
       "      <th>PTS_TYPE</th>\n",
       "      <th>...</th>\n",
       "      <th>SHOT_NUMBER</th>\n",
       "      <th>FG%</th>\n",
       "      <th>AVG_DRIBBLES</th>\n",
       "      <th>AVG_SHOT_DIST</th>\n",
       "      <th>AVG_CLOSE_DEF_DIST</th>\n",
       "      <th>AVG_PTS</th>\n",
       "      <th>AVG_TOUCH_TIME</th>\n",
       "      <th>AVG_PTS_TYPE</th>\n",
       "      <th>AVG_PERIOD</th>\n",
       "      <th>AVG_SHOT_NUMBER</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>201599</td>\n",
       "      <td>deandre jordan</td>\n",
       "      <td>393</td>\n",
       "      <td>62</td>\n",
       "      <td>306.4</td>\n",
       "      <td>1343.2</td>\n",
       "      <td>1136.8</td>\n",
       "      <td>280</td>\n",
       "      <td>560</td>\n",
       "      <td>789</td>\n",
       "      <td>...</td>\n",
       "      <td>1629</td>\n",
       "      <td>0.712468</td>\n",
       "      <td>0.157761</td>\n",
       "      <td>3.417812</td>\n",
       "      <td>2.892621</td>\n",
       "      <td>1.424936</td>\n",
       "      <td>0.779644</td>\n",
       "      <td>2.007634</td>\n",
       "      <td>2.229008</td>\n",
       "      <td>4.145038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2199</td>\n",
       "      <td>tyson chandler</td>\n",
       "      <td>340</td>\n",
       "      <td>39</td>\n",
       "      <td>300.2</td>\n",
       "      <td>1404.4</td>\n",
       "      <td>1095.5</td>\n",
       "      <td>230</td>\n",
       "      <td>460</td>\n",
       "      <td>680</td>\n",
       "      <td>...</td>\n",
       "      <td>1442</td>\n",
       "      <td>0.676471</td>\n",
       "      <td>0.114706</td>\n",
       "      <td>4.130588</td>\n",
       "      <td>3.222059</td>\n",
       "      <td>1.352941</td>\n",
       "      <td>0.882941</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.297059</td>\n",
       "      <td>4.241176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2594</td>\n",
       "      <td>kyle korver</td>\n",
       "      <td>478</td>\n",
       "      <td>140</td>\n",
       "      <td>499.8</td>\n",
       "      <td>10520.8</td>\n",
       "      <td>2391.2</td>\n",
       "      <td>235</td>\n",
       "      <td>646</td>\n",
       "      <td>1311</td>\n",
       "      <td>...</td>\n",
       "      <td>2388</td>\n",
       "      <td>0.491632</td>\n",
       "      <td>0.292887</td>\n",
       "      <td>22.010042</td>\n",
       "      <td>5.002510</td>\n",
       "      <td>1.351464</td>\n",
       "      <td>1.045607</td>\n",
       "      <td>2.742678</td>\n",
       "      <td>2.430962</td>\n",
       "      <td>4.995816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>201949</td>\n",
       "      <td>james johnson</td>\n",
       "      <td>311</td>\n",
       "      <td>579</td>\n",
       "      <td>820.2</td>\n",
       "      <td>2439.9</td>\n",
       "      <td>1085.5</td>\n",
       "      <td>191</td>\n",
       "      <td>392</td>\n",
       "      <td>663</td>\n",
       "      <td>...</td>\n",
       "      <td>1455</td>\n",
       "      <td>0.614148</td>\n",
       "      <td>1.861736</td>\n",
       "      <td>7.845338</td>\n",
       "      <td>3.490354</td>\n",
       "      <td>1.260450</td>\n",
       "      <td>2.637299</td>\n",
       "      <td>2.131833</td>\n",
       "      <td>2.565916</td>\n",
       "      <td>4.678457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>203497</td>\n",
       "      <td>rudy gobert</td>\n",
       "      <td>267</td>\n",
       "      <td>71</td>\n",
       "      <td>287.7</td>\n",
       "      <td>948.2</td>\n",
       "      <td>647.3</td>\n",
       "      <td>167</td>\n",
       "      <td>334</td>\n",
       "      <td>535</td>\n",
       "      <td>...</td>\n",
       "      <td>921</td>\n",
       "      <td>0.625468</td>\n",
       "      <td>0.265918</td>\n",
       "      <td>3.551311</td>\n",
       "      <td>2.424345</td>\n",
       "      <td>1.250936</td>\n",
       "      <td>1.077528</td>\n",
       "      <td>2.003745</td>\n",
       "      <td>2.430712</td>\n",
       "      <td>3.449438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>202334</td>\n",
       "      <td>ed davis</td>\n",
       "      <td>350</td>\n",
       "      <td>124</td>\n",
       "      <td>424.5</td>\n",
       "      <td>1546.5</td>\n",
       "      <td>783.0</td>\n",
       "      <td>211</td>\n",
       "      <td>422</td>\n",
       "      <td>700</td>\n",
       "      <td>...</td>\n",
       "      <td>1360</td>\n",
       "      <td>0.602857</td>\n",
       "      <td>0.354286</td>\n",
       "      <td>4.418571</td>\n",
       "      <td>2.237143</td>\n",
       "      <td>1.205714</td>\n",
       "      <td>1.212857</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.402857</td>\n",
       "      <td>3.885714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>201582</td>\n",
       "      <td>alexis ajinca</td>\n",
       "      <td>211</td>\n",
       "      <td>82</td>\n",
       "      <td>298.9</td>\n",
       "      <td>1728.5</td>\n",
       "      <td>767.2</td>\n",
       "      <td>126</td>\n",
       "      <td>252</td>\n",
       "      <td>422</td>\n",
       "      <td>...</td>\n",
       "      <td>871</td>\n",
       "      <td>0.597156</td>\n",
       "      <td>0.388626</td>\n",
       "      <td>8.191943</td>\n",
       "      <td>3.636019</td>\n",
       "      <td>1.194313</td>\n",
       "      <td>1.416588</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.616114</td>\n",
       "      <td>4.127962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>101161</td>\n",
       "      <td>amir johnson</td>\n",
       "      <td>402</td>\n",
       "      <td>209</td>\n",
       "      <td>558.6</td>\n",
       "      <td>2788.8</td>\n",
       "      <td>1243.2</td>\n",
       "      <td>233</td>\n",
       "      <td>480</td>\n",
       "      <td>838</td>\n",
       "      <td>...</td>\n",
       "      <td>1902</td>\n",
       "      <td>0.579602</td>\n",
       "      <td>0.519900</td>\n",
       "      <td>6.937313</td>\n",
       "      <td>3.092537</td>\n",
       "      <td>1.194030</td>\n",
       "      <td>1.389552</td>\n",
       "      <td>2.084577</td>\n",
       "      <td>2.365672</td>\n",
       "      <td>4.731343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>203486</td>\n",
       "      <td>mason plumlee</td>\n",
       "      <td>403</td>\n",
       "      <td>223</td>\n",
       "      <td>616.8</td>\n",
       "      <td>1722.0</td>\n",
       "      <td>1135.5</td>\n",
       "      <td>236</td>\n",
       "      <td>472</td>\n",
       "      <td>809</td>\n",
       "      <td>...</td>\n",
       "      <td>1905</td>\n",
       "      <td>0.585608</td>\n",
       "      <td>0.553350</td>\n",
       "      <td>4.272953</td>\n",
       "      <td>2.817618</td>\n",
       "      <td>1.171216</td>\n",
       "      <td>1.530521</td>\n",
       "      <td>2.007444</td>\n",
       "      <td>2.292804</td>\n",
       "      <td>4.727047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>201939</td>\n",
       "      <td>stephen curry</td>\n",
       "      <td>968</td>\n",
       "      <td>3582</td>\n",
       "      <td>3786.8</td>\n",
       "      <td>16911.4</td>\n",
       "      <td>4370.7</td>\n",
       "      <td>470</td>\n",
       "      <td>1130</td>\n",
       "      <td>2392</td>\n",
       "      <td>...</td>\n",
       "      <td>9183</td>\n",
       "      <td>0.485537</td>\n",
       "      <td>3.700413</td>\n",
       "      <td>17.470455</td>\n",
       "      <td>4.515186</td>\n",
       "      <td>1.167355</td>\n",
       "      <td>3.911983</td>\n",
       "      <td>2.471074</td>\n",
       "      <td>2.359504</td>\n",
       "      <td>9.486570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>203089</td>\n",
       "      <td>john henson</td>\n",
       "      <td>241</td>\n",
       "      <td>127</td>\n",
       "      <td>370.6</td>\n",
       "      <td>1197.4</td>\n",
       "      <td>641.4</td>\n",
       "      <td>140</td>\n",
       "      <td>280</td>\n",
       "      <td>482</td>\n",
       "      <td>...</td>\n",
       "      <td>948</td>\n",
       "      <td>0.580913</td>\n",
       "      <td>0.526971</td>\n",
       "      <td>4.968465</td>\n",
       "      <td>2.661411</td>\n",
       "      <td>1.161826</td>\n",
       "      <td>1.537759</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.464730</td>\n",
       "      <td>3.933610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>2730</td>\n",
       "      <td>dwight howard</td>\n",
       "      <td>334</td>\n",
       "      <td>310</td>\n",
       "      <td>827.6</td>\n",
       "      <td>1404.7</td>\n",
       "      <td>798.5</td>\n",
       "      <td>192</td>\n",
       "      <td>385</td>\n",
       "      <td>670</td>\n",
       "      <td>...</td>\n",
       "      <td>2212</td>\n",
       "      <td>0.574850</td>\n",
       "      <td>0.928144</td>\n",
       "      <td>4.205689</td>\n",
       "      <td>2.390719</td>\n",
       "      <td>1.152695</td>\n",
       "      <td>2.477844</td>\n",
       "      <td>2.005988</td>\n",
       "      <td>2.242515</td>\n",
       "      <td>6.622754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>201162</td>\n",
       "      <td>jared dudley</td>\n",
       "      <td>359</td>\n",
       "      <td>145</td>\n",
       "      <td>446.0</td>\n",
       "      <td>6406.8</td>\n",
       "      <td>2066.9</td>\n",
       "      <td>173</td>\n",
       "      <td>413</td>\n",
       "      <td>880</td>\n",
       "      <td>...</td>\n",
       "      <td>1501</td>\n",
       "      <td>0.481894</td>\n",
       "      <td>0.403900</td>\n",
       "      <td>17.846240</td>\n",
       "      <td>5.757382</td>\n",
       "      <td>1.150418</td>\n",
       "      <td>1.242340</td>\n",
       "      <td>2.451253</td>\n",
       "      <td>2.493036</td>\n",
       "      <td>4.181058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>200755</td>\n",
       "      <td>jj redick</td>\n",
       "      <td>649</td>\n",
       "      <td>485</td>\n",
       "      <td>924.0</td>\n",
       "      <td>12657.9</td>\n",
       "      <td>3315.4</td>\n",
       "      <td>299</td>\n",
       "      <td>738</td>\n",
       "      <td>1627</td>\n",
       "      <td>...</td>\n",
       "      <td>4319</td>\n",
       "      <td>0.460709</td>\n",
       "      <td>0.747304</td>\n",
       "      <td>19.503698</td>\n",
       "      <td>5.108475</td>\n",
       "      <td>1.137134</td>\n",
       "      <td>1.423729</td>\n",
       "      <td>2.506934</td>\n",
       "      <td>2.192604</td>\n",
       "      <td>6.654854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>202335</td>\n",
       "      <td>patrick patterson</td>\n",
       "      <td>405</td>\n",
       "      <td>200</td>\n",
       "      <td>448.3</td>\n",
       "      <td>6713.8</td>\n",
       "      <td>2209.9</td>\n",
       "      <td>188</td>\n",
       "      <td>460</td>\n",
       "      <td>1023</td>\n",
       "      <td>...</td>\n",
       "      <td>1793</td>\n",
       "      <td>0.464198</td>\n",
       "      <td>0.493827</td>\n",
       "      <td>16.577284</td>\n",
       "      <td>5.456543</td>\n",
       "      <td>1.135802</td>\n",
       "      <td>1.106914</td>\n",
       "      <td>2.525926</td>\n",
       "      <td>2.688889</td>\n",
       "      <td>4.427160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>203503</td>\n",
       "      <td>tony snell</td>\n",
       "      <td>229</td>\n",
       "      <td>228</td>\n",
       "      <td>389.1</td>\n",
       "      <td>3917.1</td>\n",
       "      <td>1127.9</td>\n",
       "      <td>105</td>\n",
       "      <td>260</td>\n",
       "      <td>581</td>\n",
       "      <td>...</td>\n",
       "      <td>1020</td>\n",
       "      <td>0.458515</td>\n",
       "      <td>0.995633</td>\n",
       "      <td>17.105240</td>\n",
       "      <td>4.925328</td>\n",
       "      <td>1.135371</td>\n",
       "      <td>1.699127</td>\n",
       "      <td>2.537118</td>\n",
       "      <td>2.541485</td>\n",
       "      <td>4.454148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>201960</td>\n",
       "      <td>demarre carroll</td>\n",
       "      <td>462</td>\n",
       "      <td>403</td>\n",
       "      <td>754.7</td>\n",
       "      <td>6820.0</td>\n",
       "      <td>2198.8</td>\n",
       "      <td>217</td>\n",
       "      <td>523</td>\n",
       "      <td>1147</td>\n",
       "      <td>...</td>\n",
       "      <td>2461</td>\n",
       "      <td>0.469697</td>\n",
       "      <td>0.872294</td>\n",
       "      <td>14.761905</td>\n",
       "      <td>4.759307</td>\n",
       "      <td>1.132035</td>\n",
       "      <td>1.633550</td>\n",
       "      <td>2.482684</td>\n",
       "      <td>2.270563</td>\n",
       "      <td>5.326840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>202083</td>\n",
       "      <td>wesley matthews</td>\n",
       "      <td>748</td>\n",
       "      <td>882</td>\n",
       "      <td>1589.1</td>\n",
       "      <td>13854.6</td>\n",
       "      <td>3642.9</td>\n",
       "      <td>336</td>\n",
       "      <td>845</td>\n",
       "      <td>1939</td>\n",
       "      <td>...</td>\n",
       "      <td>5538</td>\n",
       "      <td>0.449198</td>\n",
       "      <td>1.179144</td>\n",
       "      <td>18.522193</td>\n",
       "      <td>4.870187</td>\n",
       "      <td>1.129679</td>\n",
       "      <td>2.124465</td>\n",
       "      <td>2.592246</td>\n",
       "      <td>2.594920</td>\n",
       "      <td>7.403743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>202685</td>\n",
       "      <td>jonas valanciunas</td>\n",
       "      <td>486</td>\n",
       "      <td>337</td>\n",
       "      <td>994.7</td>\n",
       "      <td>2743.2</td>\n",
       "      <td>1361.1</td>\n",
       "      <td>274</td>\n",
       "      <td>548</td>\n",
       "      <td>972</td>\n",
       "      <td>...</td>\n",
       "      <td>2602</td>\n",
       "      <td>0.563786</td>\n",
       "      <td>0.693416</td>\n",
       "      <td>5.644444</td>\n",
       "      <td>2.800617</td>\n",
       "      <td>1.127572</td>\n",
       "      <td>2.046708</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.090535</td>\n",
       "      <td>5.353909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>203084</td>\n",
       "      <td>harrison barnes</td>\n",
       "      <td>463</td>\n",
       "      <td>418</td>\n",
       "      <td>823.6</td>\n",
       "      <td>6384.4</td>\n",
       "      <td>2439.6</td>\n",
       "      <td>227</td>\n",
       "      <td>521</td>\n",
       "      <td>1081</td>\n",
       "      <td>...</td>\n",
       "      <td>2329</td>\n",
       "      <td>0.490281</td>\n",
       "      <td>0.902808</td>\n",
       "      <td>13.789201</td>\n",
       "      <td>5.269114</td>\n",
       "      <td>1.125270</td>\n",
       "      <td>1.778834</td>\n",
       "      <td>2.334773</td>\n",
       "      <td>2.358531</td>\n",
       "      <td>5.030238</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     player_id               name  SHOTS_TAKEN  DRIBBLES  TOUCH_TIME  \\\n",
       "239     201599     deandre jordan          393        62       306.4   \n",
       "78        2199     tyson chandler          340        39       300.2   \n",
       "42        2594        kyle korver          478       140       499.8   \n",
       "74      201949      james johnson          311       579       820.2   \n",
       "18      203497        rudy gobert          267        71       287.7   \n",
       "22      202334           ed davis          350       124       424.5   \n",
       "66      201582      alexis ajinca          211        82       298.9   \n",
       "71      101161       amir johnson          402       209       558.6   \n",
       "273     203486      mason plumlee          403       223       616.8   \n",
       "31      201939      stephen curry          968      3582      3786.8   \n",
       "162     203089        john henson          241       127       370.6   \n",
       "203       2730      dwight howard          334       310       827.6   \n",
       "164     201162       jared dudley          359       145       446.0   \n",
       "237     200755          jj redick          649       485       924.0   \n",
       "76      202335  patrick patterson          405       200       448.3   \n",
       "251     203503         tony snell          229       228       389.1   \n",
       "47      201960    demarre carroll          462       403       754.7   \n",
       "255     202083    wesley matthews          748       882      1589.1   \n",
       "75      202685  jonas valanciunas          486       337       994.7   \n",
       "29      203084    harrison barnes          463       418       823.6   \n",
       "\n",
       "     SHOT_DIST  CLOSE_DEF_DIST  SHOTS_MADE   PTS  PTS_TYPE       ...         \\\n",
       "239     1343.2          1136.8         280   560       789       ...          \n",
       "78      1404.4          1095.5         230   460       680       ...          \n",
       "42     10520.8          2391.2         235   646      1311       ...          \n",
       "74      2439.9          1085.5         191   392       663       ...          \n",
       "18       948.2           647.3         167   334       535       ...          \n",
       "22      1546.5           783.0         211   422       700       ...          \n",
       "66      1728.5           767.2         126   252       422       ...          \n",
       "71      2788.8          1243.2         233   480       838       ...          \n",
       "273     1722.0          1135.5         236   472       809       ...          \n",
       "31     16911.4          4370.7         470  1130      2392       ...          \n",
       "162     1197.4           641.4         140   280       482       ...          \n",
       "203     1404.7           798.5         192   385       670       ...          \n",
       "164     6406.8          2066.9         173   413       880       ...          \n",
       "237    12657.9          3315.4         299   738      1627       ...          \n",
       "76      6713.8          2209.9         188   460      1023       ...          \n",
       "251     3917.1          1127.9         105   260       581       ...          \n",
       "47      6820.0          2198.8         217   523      1147       ...          \n",
       "255    13854.6          3642.9         336   845      1939       ...          \n",
       "75      2743.2          1361.1         274   548       972       ...          \n",
       "29      6384.4          2439.6         227   521      1081       ...          \n",
       "\n",
       "     SHOT_NUMBER       FG%  AVG_DRIBBLES  AVG_SHOT_DIST  AVG_CLOSE_DEF_DIST  \\\n",
       "239         1629  0.712468      0.157761       3.417812            2.892621   \n",
       "78          1442  0.676471      0.114706       4.130588            3.222059   \n",
       "42          2388  0.491632      0.292887      22.010042            5.002510   \n",
       "74          1455  0.614148      1.861736       7.845338            3.490354   \n",
       "18           921  0.625468      0.265918       3.551311            2.424345   \n",
       "22          1360  0.602857      0.354286       4.418571            2.237143   \n",
       "66           871  0.597156      0.388626       8.191943            3.636019   \n",
       "71          1902  0.579602      0.519900       6.937313            3.092537   \n",
       "273         1905  0.585608      0.553350       4.272953            2.817618   \n",
       "31          9183  0.485537      3.700413      17.470455            4.515186   \n",
       "162          948  0.580913      0.526971       4.968465            2.661411   \n",
       "203         2212  0.574850      0.928144       4.205689            2.390719   \n",
       "164         1501  0.481894      0.403900      17.846240            5.757382   \n",
       "237         4319  0.460709      0.747304      19.503698            5.108475   \n",
       "76          1793  0.464198      0.493827      16.577284            5.456543   \n",
       "251         1020  0.458515      0.995633      17.105240            4.925328   \n",
       "47          2461  0.469697      0.872294      14.761905            4.759307   \n",
       "255         5538  0.449198      1.179144      18.522193            4.870187   \n",
       "75          2602  0.563786      0.693416       5.644444            2.800617   \n",
       "29          2329  0.490281      0.902808      13.789201            5.269114   \n",
       "\n",
       "      AVG_PTS  AVG_TOUCH_TIME  AVG_PTS_TYPE  AVG_PERIOD  AVG_SHOT_NUMBER  \n",
       "239  1.424936        0.779644      2.007634    2.229008         4.145038  \n",
       "78   1.352941        0.882941      2.000000    2.297059         4.241176  \n",
       "42   1.351464        1.045607      2.742678    2.430962         4.995816  \n",
       "74   1.260450        2.637299      2.131833    2.565916         4.678457  \n",
       "18   1.250936        1.077528      2.003745    2.430712         3.449438  \n",
       "22   1.205714        1.212857      2.000000    2.402857         3.885714  \n",
       "66   1.194313        1.416588      2.000000    2.616114         4.127962  \n",
       "71   1.194030        1.389552      2.084577    2.365672         4.731343  \n",
       "273  1.171216        1.530521      2.007444    2.292804         4.727047  \n",
       "31   1.167355        3.911983      2.471074    2.359504         9.486570  \n",
       "162  1.161826        1.537759      2.000000    2.464730         3.933610  \n",
       "203  1.152695        2.477844      2.005988    2.242515         6.622754  \n",
       "164  1.150418        1.242340      2.451253    2.493036         4.181058  \n",
       "237  1.137134        1.423729      2.506934    2.192604         6.654854  \n",
       "76   1.135802        1.106914      2.525926    2.688889         4.427160  \n",
       "251  1.135371        1.699127      2.537118    2.541485         4.454148  \n",
       "47   1.132035        1.633550      2.482684    2.270563         5.326840  \n",
       "255  1.129679        2.124465      2.592246    2.594920         7.403743  \n",
       "75   1.127572        2.046708      2.000000    2.090535         5.353909  \n",
       "29   1.125270        1.778834      2.334773    2.358531         5.030238  \n",
       "\n",
       "[20 rows x 21 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Best points per shot attempt\n",
    "shooter_dfs.sort_values('AVG_PTS', ascending=False)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>player_id</th>\n",
       "      <th>name</th>\n",
       "      <th>SHOTS_TAKEN</th>\n",
       "      <th>DRIBBLES</th>\n",
       "      <th>TOUCH_TIME</th>\n",
       "      <th>SHOT_DIST</th>\n",
       "      <th>CLOSE_DEF_DIST</th>\n",
       "      <th>SHOTS_MADE</th>\n",
       "      <th>PTS</th>\n",
       "      <th>PTS_TYPE</th>\n",
       "      <th>...</th>\n",
       "      <th>SHOT_NUMBER</th>\n",
       "      <th>FG%</th>\n",
       "      <th>AVG_DRIBBLES</th>\n",
       "      <th>AVG_SHOT_DIST</th>\n",
       "      <th>AVG_CLOSE_DEF_DIST</th>\n",
       "      <th>AVG_PTS</th>\n",
       "      <th>AVG_TOUCH_TIME</th>\n",
       "      <th>AVG_PTS_TYPE</th>\n",
       "      <th>AVG_PERIOD</th>\n",
       "      <th>AVG_SHOT_NUMBER</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>201196</td>\n",
       "      <td>ramon sessions</td>\n",
       "      <td>219</td>\n",
       "      <td>848</td>\n",
       "      <td>908.1</td>\n",
       "      <td>2642.3</td>\n",
       "      <td>844.3</td>\n",
       "      <td>72</td>\n",
       "      <td>152</td>\n",
       "      <td>472</td>\n",
       "      <td>...</td>\n",
       "      <td>848</td>\n",
       "      <td>0.328767</td>\n",
       "      <td>3.872146</td>\n",
       "      <td>12.065297</td>\n",
       "      <td>3.855251</td>\n",
       "      <td>0.694064</td>\n",
       "      <td>4.146575</td>\n",
       "      <td>2.155251</td>\n",
       "      <td>2.598174</td>\n",
       "      <td>3.872146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>202362</td>\n",
       "      <td>lance stephenson</td>\n",
       "      <td>436</td>\n",
       "      <td>1290</td>\n",
       "      <td>1557.0</td>\n",
       "      <td>6210.1</td>\n",
       "      <td>1800.5</td>\n",
       "      <td>159</td>\n",
       "      <td>331</td>\n",
       "      <td>959</td>\n",
       "      <td>...</td>\n",
       "      <td>2615</td>\n",
       "      <td>0.364679</td>\n",
       "      <td>2.958716</td>\n",
       "      <td>14.243349</td>\n",
       "      <td>4.129587</td>\n",
       "      <td>0.759174</td>\n",
       "      <td>3.571101</td>\n",
       "      <td>2.199541</td>\n",
       "      <td>2.394495</td>\n",
       "      <td>5.997706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>101126</td>\n",
       "      <td>nate robinson</td>\n",
       "      <td>202</td>\n",
       "      <td>864</td>\n",
       "      <td>886.1</td>\n",
       "      <td>3571.3</td>\n",
       "      <td>882.6</td>\n",
       "      <td>69</td>\n",
       "      <td>162</td>\n",
       "      <td>496</td>\n",
       "      <td>...</td>\n",
       "      <td>897</td>\n",
       "      <td>0.341584</td>\n",
       "      <td>4.277228</td>\n",
       "      <td>17.679703</td>\n",
       "      <td>4.369307</td>\n",
       "      <td>0.801980</td>\n",
       "      <td>4.386634</td>\n",
       "      <td>2.455446</td>\n",
       "      <td>2.722772</td>\n",
       "      <td>4.440594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>1713</td>\n",
       "      <td>vince carter</td>\n",
       "      <td>283</td>\n",
       "      <td>351</td>\n",
       "      <td>598.5</td>\n",
       "      <td>5526.9</td>\n",
       "      <td>1313.8</td>\n",
       "      <td>94</td>\n",
       "      <td>232</td>\n",
       "      <td>726</td>\n",
       "      <td>...</td>\n",
       "      <td>1249</td>\n",
       "      <td>0.332155</td>\n",
       "      <td>1.240283</td>\n",
       "      <td>19.529682</td>\n",
       "      <td>4.642403</td>\n",
       "      <td>0.819788</td>\n",
       "      <td>2.114841</td>\n",
       "      <td>2.565371</td>\n",
       "      <td>2.621908</td>\n",
       "      <td>4.413428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>203487</td>\n",
       "      <td>michael carter-williams</td>\n",
       "      <td>657</td>\n",
       "      <td>2906</td>\n",
       "      <td>3105.0</td>\n",
       "      <td>8089.3</td>\n",
       "      <td>2211.4</td>\n",
       "      <td>253</td>\n",
       "      <td>539</td>\n",
       "      <td>1446</td>\n",
       "      <td>...</td>\n",
       "      <td>5586</td>\n",
       "      <td>0.385084</td>\n",
       "      <td>4.423135</td>\n",
       "      <td>12.312481</td>\n",
       "      <td>3.365906</td>\n",
       "      <td>0.820396</td>\n",
       "      <td>4.726027</td>\n",
       "      <td>2.200913</td>\n",
       "      <td>2.462709</td>\n",
       "      <td>8.502283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>977</td>\n",
       "      <td>kobe bryant</td>\n",
       "      <td>713</td>\n",
       "      <td>2492</td>\n",
       "      <td>3301.9</td>\n",
       "      <td>11718.0</td>\n",
       "      <td>2307.9</td>\n",
       "      <td>266</td>\n",
       "      <td>586</td>\n",
       "      <td>1610</td>\n",
       "      <td>...</td>\n",
       "      <td>8402</td>\n",
       "      <td>0.373072</td>\n",
       "      <td>3.495091</td>\n",
       "      <td>16.434783</td>\n",
       "      <td>3.236886</td>\n",
       "      <td>0.821879</td>\n",
       "      <td>4.630996</td>\n",
       "      <td>2.258065</td>\n",
       "      <td>2.507714</td>\n",
       "      <td>11.784011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>203135</td>\n",
       "      <td>robert sacre</td>\n",
       "      <td>242</td>\n",
       "      <td>176</td>\n",
       "      <td>514.6</td>\n",
       "      <td>2600.2</td>\n",
       "      <td>937.5</td>\n",
       "      <td>100</td>\n",
       "      <td>200</td>\n",
       "      <td>484</td>\n",
       "      <td>...</td>\n",
       "      <td>881</td>\n",
       "      <td>0.413223</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>10.744628</td>\n",
       "      <td>3.873967</td>\n",
       "      <td>0.826446</td>\n",
       "      <td>2.126446</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.520661</td>\n",
       "      <td>3.640496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>101179</td>\n",
       "      <td>ronnie price</td>\n",
       "      <td>223</td>\n",
       "      <td>644</td>\n",
       "      <td>778.6</td>\n",
       "      <td>3913.9</td>\n",
       "      <td>978.5</td>\n",
       "      <td>77</td>\n",
       "      <td>185</td>\n",
       "      <td>555</td>\n",
       "      <td>...</td>\n",
       "      <td>826</td>\n",
       "      <td>0.345291</td>\n",
       "      <td>2.887892</td>\n",
       "      <td>17.551121</td>\n",
       "      <td>4.387892</td>\n",
       "      <td>0.829596</td>\n",
       "      <td>3.491480</td>\n",
       "      <td>2.488789</td>\n",
       "      <td>2.466368</td>\n",
       "      <td>3.704036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>203901</td>\n",
       "      <td>elfrid payton</td>\n",
       "      <td>480</td>\n",
       "      <td>2836</td>\n",
       "      <td>2651.7</td>\n",
       "      <td>3761.2</td>\n",
       "      <td>1518.7</td>\n",
       "      <td>198</td>\n",
       "      <td>400</td>\n",
       "      <td>982</td>\n",
       "      <td>...</td>\n",
       "      <td>2491</td>\n",
       "      <td>0.412500</td>\n",
       "      <td>5.908333</td>\n",
       "      <td>7.835833</td>\n",
       "      <td>3.163958</td>\n",
       "      <td>0.833333</td>\n",
       "      <td>5.524375</td>\n",
       "      <td>2.045833</td>\n",
       "      <td>2.558333</td>\n",
       "      <td>5.189583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>202390</td>\n",
       "      <td>gary neal</td>\n",
       "      <td>459</td>\n",
       "      <td>1173</td>\n",
       "      <td>1454.5</td>\n",
       "      <td>8018.9</td>\n",
       "      <td>1700.3</td>\n",
       "      <td>168</td>\n",
       "      <td>384</td>\n",
       "      <td>1078</td>\n",
       "      <td>...</td>\n",
       "      <td>2631</td>\n",
       "      <td>0.366013</td>\n",
       "      <td>2.555556</td>\n",
       "      <td>17.470370</td>\n",
       "      <td>3.704357</td>\n",
       "      <td>0.836601</td>\n",
       "      <td>3.168845</td>\n",
       "      <td>2.348584</td>\n",
       "      <td>2.775599</td>\n",
       "      <td>5.732026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>203461</td>\n",
       "      <td>anthony bennett</td>\n",
       "      <td>274</td>\n",
       "      <td>107</td>\n",
       "      <td>349.9</td>\n",
       "      <td>3766.1</td>\n",
       "      <td>1286.3</td>\n",
       "      <td>114</td>\n",
       "      <td>233</td>\n",
       "      <td>565</td>\n",
       "      <td>...</td>\n",
       "      <td>1143</td>\n",
       "      <td>0.416058</td>\n",
       "      <td>0.390511</td>\n",
       "      <td>13.744891</td>\n",
       "      <td>4.694526</td>\n",
       "      <td>0.850365</td>\n",
       "      <td>1.277007</td>\n",
       "      <td>2.062044</td>\n",
       "      <td>2.459854</td>\n",
       "      <td>4.171533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>202323</td>\n",
       "      <td>evan turner</td>\n",
       "      <td>499</td>\n",
       "      <td>1905</td>\n",
       "      <td>2092.6</td>\n",
       "      <td>6488.4</td>\n",
       "      <td>1947.3</td>\n",
       "      <td>201</td>\n",
       "      <td>426</td>\n",
       "      <td>1082</td>\n",
       "      <td>...</td>\n",
       "      <td>2715</td>\n",
       "      <td>0.402806</td>\n",
       "      <td>3.817635</td>\n",
       "      <td>13.002806</td>\n",
       "      <td>3.902405</td>\n",
       "      <td>0.853707</td>\n",
       "      <td>4.193587</td>\n",
       "      <td>2.168337</td>\n",
       "      <td>2.533066</td>\n",
       "      <td>5.440882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>2585</td>\n",
       "      <td>zaza pachulia</td>\n",
       "      <td>350</td>\n",
       "      <td>181</td>\n",
       "      <td>585.0</td>\n",
       "      <td>3430.4</td>\n",
       "      <td>1608.7</td>\n",
       "      <td>151</td>\n",
       "      <td>302</td>\n",
       "      <td>703</td>\n",
       "      <td>...</td>\n",
       "      <td>1611</td>\n",
       "      <td>0.431429</td>\n",
       "      <td>0.517143</td>\n",
       "      <td>9.801143</td>\n",
       "      <td>4.596286</td>\n",
       "      <td>0.862857</td>\n",
       "      <td>1.671429</td>\n",
       "      <td>2.008571</td>\n",
       "      <td>2.360000</td>\n",
       "      <td>4.602857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>2550</td>\n",
       "      <td>kirk hinrich</td>\n",
       "      <td>314</td>\n",
       "      <td>760</td>\n",
       "      <td>863.8</td>\n",
       "      <td>5736.8</td>\n",
       "      <td>1593.3</td>\n",
       "      <td>113</td>\n",
       "      <td>271</td>\n",
       "      <td>770</td>\n",
       "      <td>...</td>\n",
       "      <td>1440</td>\n",
       "      <td>0.359873</td>\n",
       "      <td>2.420382</td>\n",
       "      <td>18.270064</td>\n",
       "      <td>5.074204</td>\n",
       "      <td>0.863057</td>\n",
       "      <td>2.750955</td>\n",
       "      <td>2.452229</td>\n",
       "      <td>2.493631</td>\n",
       "      <td>4.585987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>2555</td>\n",
       "      <td>nick collison</td>\n",
       "      <td>212</td>\n",
       "      <td>73</td>\n",
       "      <td>267.6</td>\n",
       "      <td>2593.9</td>\n",
       "      <td>955.7</td>\n",
       "      <td>86</td>\n",
       "      <td>184</td>\n",
       "      <td>476</td>\n",
       "      <td>...</td>\n",
       "      <td>676</td>\n",
       "      <td>0.405660</td>\n",
       "      <td>0.344340</td>\n",
       "      <td>12.235377</td>\n",
       "      <td>4.508019</td>\n",
       "      <td>0.867925</td>\n",
       "      <td>1.262264</td>\n",
       "      <td>2.245283</td>\n",
       "      <td>2.599057</td>\n",
       "      <td>3.188679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>203504</td>\n",
       "      <td>trey burke</td>\n",
       "      <td>783</td>\n",
       "      <td>2393</td>\n",
       "      <td>2625.3</td>\n",
       "      <td>13184.9</td>\n",
       "      <td>3142.9</td>\n",
       "      <td>294</td>\n",
       "      <td>684</td>\n",
       "      <td>1867</td>\n",
       "      <td>...</td>\n",
       "      <td>5989</td>\n",
       "      <td>0.375479</td>\n",
       "      <td>3.056194</td>\n",
       "      <td>16.838953</td>\n",
       "      <td>4.013921</td>\n",
       "      <td>0.873563</td>\n",
       "      <td>3.352874</td>\n",
       "      <td>2.384419</td>\n",
       "      <td>2.630907</td>\n",
       "      <td>7.648787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>203957</td>\n",
       "      <td>dante exum</td>\n",
       "      <td>285</td>\n",
       "      <td>405</td>\n",
       "      <td>585.9</td>\n",
       "      <td>5559.7</td>\n",
       "      <td>1674.0</td>\n",
       "      <td>98</td>\n",
       "      <td>249</td>\n",
       "      <td>747</td>\n",
       "      <td>...</td>\n",
       "      <td>998</td>\n",
       "      <td>0.343860</td>\n",
       "      <td>1.421053</td>\n",
       "      <td>19.507719</td>\n",
       "      <td>5.873684</td>\n",
       "      <td>0.873684</td>\n",
       "      <td>2.055789</td>\n",
       "      <td>2.621053</td>\n",
       "      <td>2.480702</td>\n",
       "      <td>3.501754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>201149</td>\n",
       "      <td>joakim noah</td>\n",
       "      <td>340</td>\n",
       "      <td>136</td>\n",
       "      <td>446.7</td>\n",
       "      <td>2548.2</td>\n",
       "      <td>1219.5</td>\n",
       "      <td>149</td>\n",
       "      <td>298</td>\n",
       "      <td>682</td>\n",
       "      <td>...</td>\n",
       "      <td>1556</td>\n",
       "      <td>0.438235</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>7.494706</td>\n",
       "      <td>3.586765</td>\n",
       "      <td>0.876471</td>\n",
       "      <td>1.313824</td>\n",
       "      <td>2.005882</td>\n",
       "      <td>2.526471</td>\n",
       "      <td>4.576471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>203544</td>\n",
       "      <td>pero antic</td>\n",
       "      <td>222</td>\n",
       "      <td>36</td>\n",
       "      <td>279.0</td>\n",
       "      <td>4016.8</td>\n",
       "      <td>1168.5</td>\n",
       "      <td>79</td>\n",
       "      <td>195</td>\n",
       "      <td>573</td>\n",
       "      <td>...</td>\n",
       "      <td>734</td>\n",
       "      <td>0.355856</td>\n",
       "      <td>0.162162</td>\n",
       "      <td>18.093694</td>\n",
       "      <td>5.263514</td>\n",
       "      <td>0.878378</td>\n",
       "      <td>1.256757</td>\n",
       "      <td>2.581081</td>\n",
       "      <td>2.261261</td>\n",
       "      <td>3.306306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>202708</td>\n",
       "      <td>norris cole</td>\n",
       "      <td>365</td>\n",
       "      <td>966</td>\n",
       "      <td>1118.8</td>\n",
       "      <td>5413.4</td>\n",
       "      <td>1631.4</td>\n",
       "      <td>145</td>\n",
       "      <td>322</td>\n",
       "      <td>852</td>\n",
       "      <td>...</td>\n",
       "      <td>1658</td>\n",
       "      <td>0.397260</td>\n",
       "      <td>2.646575</td>\n",
       "      <td>14.831233</td>\n",
       "      <td>4.469589</td>\n",
       "      <td>0.882192</td>\n",
       "      <td>3.065205</td>\n",
       "      <td>2.334247</td>\n",
       "      <td>2.430137</td>\n",
       "      <td>4.542466</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     player_id                     name  SHOTS_TAKEN  DRIBBLES  TOUCH_TIME  \\\n",
       "225     201196           ramon sessions          219       848       908.1   \n",
       "8       202362         lance stephenson          436      1290      1557.0   \n",
       "136     101126            nate robinson          202       864       886.1   \n",
       "171       1713             vince carter          283       351       598.5   \n",
       "156     203487  michael carter-williams          657      2906      3105.0   \n",
       "21         977              kobe bryant          713      2492      3301.9   \n",
       "28      203135             robert sacre          242       176       514.6   \n",
       "23      101179             ronnie price          223       644       778.6   \n",
       "92      203901            elfrid payton          480      2836      2651.7   \n",
       "4       202390                gary neal          459      1173      1454.5   \n",
       "265     203461          anthony bennett          274       107       349.9   \n",
       "118     202323              evan turner          499      1905      2092.6   \n",
       "163       2585            zaza pachulia          350       181       585.0   \n",
       "245       2550             kirk hinrich          314       760       863.8   \n",
       "226       2555            nick collison          212        73       267.6   \n",
       "17      203504               trey burke          783      2393      2625.3   \n",
       "15      203957               dante exum          285       405       585.9   \n",
       "253     201149              joakim noah          340       136       446.7   \n",
       "43      203544               pero antic          222        36       279.0   \n",
       "213     202708              norris cole          365       966      1118.8   \n",
       "\n",
       "     SHOT_DIST  CLOSE_DEF_DIST  SHOTS_MADE  PTS  PTS_TYPE       ...         \\\n",
       "225     2642.3           844.3          72  152       472       ...          \n",
       "8       6210.1          1800.5         159  331       959       ...          \n",
       "136     3571.3           882.6          69  162       496       ...          \n",
       "171     5526.9          1313.8          94  232       726       ...          \n",
       "156     8089.3          2211.4         253  539      1446       ...          \n",
       "21     11718.0          2307.9         266  586      1610       ...          \n",
       "28      2600.2           937.5         100  200       484       ...          \n",
       "23      3913.9           978.5          77  185       555       ...          \n",
       "92      3761.2          1518.7         198  400       982       ...          \n",
       "4       8018.9          1700.3         168  384      1078       ...          \n",
       "265     3766.1          1286.3         114  233       565       ...          \n",
       "118     6488.4          1947.3         201  426      1082       ...          \n",
       "163     3430.4          1608.7         151  302       703       ...          \n",
       "245     5736.8          1593.3         113  271       770       ...          \n",
       "226     2593.9           955.7          86  184       476       ...          \n",
       "17     13184.9          3142.9         294  684      1867       ...          \n",
       "15      5559.7          1674.0          98  249       747       ...          \n",
       "253     2548.2          1219.5         149  298       682       ...          \n",
       "43      4016.8          1168.5          79  195       573       ...          \n",
       "213     5413.4          1631.4         145  322       852       ...          \n",
       "\n",
       "     SHOT_NUMBER       FG%  AVG_DRIBBLES  AVG_SHOT_DIST  AVG_CLOSE_DEF_DIST  \\\n",
       "225          848  0.328767      3.872146      12.065297            3.855251   \n",
       "8           2615  0.364679      2.958716      14.243349            4.129587   \n",
       "136          897  0.341584      4.277228      17.679703            4.369307   \n",
       "171         1249  0.332155      1.240283      19.529682            4.642403   \n",
       "156         5586  0.385084      4.423135      12.312481            3.365906   \n",
       "21          8402  0.373072      3.495091      16.434783            3.236886   \n",
       "28           881  0.413223      0.727273      10.744628            3.873967   \n",
       "23           826  0.345291      2.887892      17.551121            4.387892   \n",
       "92          2491  0.412500      5.908333       7.835833            3.163958   \n",
       "4           2631  0.366013      2.555556      17.470370            3.704357   \n",
       "265         1143  0.416058      0.390511      13.744891            4.694526   \n",
       "118         2715  0.402806      3.817635      13.002806            3.902405   \n",
       "163         1611  0.431429      0.517143       9.801143            4.596286   \n",
       "245         1440  0.359873      2.420382      18.270064            5.074204   \n",
       "226          676  0.405660      0.344340      12.235377            4.508019   \n",
       "17          5989  0.375479      3.056194      16.838953            4.013921   \n",
       "15           998  0.343860      1.421053      19.507719            5.873684   \n",
       "253         1556  0.438235      0.400000       7.494706            3.586765   \n",
       "43           734  0.355856      0.162162      18.093694            5.263514   \n",
       "213         1658  0.397260      2.646575      14.831233            4.469589   \n",
       "\n",
       "      AVG_PTS  AVG_TOUCH_TIME  AVG_PTS_TYPE  AVG_PERIOD  AVG_SHOT_NUMBER  \n",
       "225  0.694064        4.146575      2.155251    2.598174         3.872146  \n",
       "8    0.759174        3.571101      2.199541    2.394495         5.997706  \n",
       "136  0.801980        4.386634      2.455446    2.722772         4.440594  \n",
       "171  0.819788        2.114841      2.565371    2.621908         4.413428  \n",
       "156  0.820396        4.726027      2.200913    2.462709         8.502283  \n",
       "21   0.821879        4.630996      2.258065    2.507714        11.784011  \n",
       "28   0.826446        2.126446      2.000000    2.520661         3.640496  \n",
       "23   0.829596        3.491480      2.488789    2.466368         3.704036  \n",
       "92   0.833333        5.524375      2.045833    2.558333         5.189583  \n",
       "4    0.836601        3.168845      2.348584    2.775599         5.732026  \n",
       "265  0.850365        1.277007      2.062044    2.459854         4.171533  \n",
       "118  0.853707        4.193587      2.168337    2.533066         5.440882  \n",
       "163  0.862857        1.671429      2.008571    2.360000         4.602857  \n",
       "245  0.863057        2.750955      2.452229    2.493631         4.585987  \n",
       "226  0.867925        1.262264      2.245283    2.599057         3.188679  \n",
       "17   0.873563        3.352874      2.384419    2.630907         7.648787  \n",
       "15   0.873684        2.055789      2.621053    2.480702         3.501754  \n",
       "253  0.876471        1.313824      2.005882    2.526471         4.576471  \n",
       "43   0.878378        1.256757      2.581081    2.261261         3.306306  \n",
       "213  0.882192        3.065205      2.334247    2.430137         4.542466  \n",
       "\n",
       "[20 rows x 21 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Don't let these players shoot it!\n",
    "shooter_dfs.sort_values('AVG_PTS', ascending=True)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AVG_DRIBBLES</th>\n",
       "      <th>AVG_SHOT_DIST</th>\n",
       "      <th>AVG_CLOSE_DEF_DIST</th>\n",
       "      <th>AVG_PTS</th>\n",
       "      <th>AVG_TOUCH_TIME</th>\n",
       "      <th>AVG_PTS_TYPE</th>\n",
       "      <th>AVG_PERIOD</th>\n",
       "      <th>AVG_SHOT_NUMBER</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>248.000000</td>\n",
       "      <td>248.000000</td>\n",
       "      <td>248.000000</td>\n",
       "      <td>248.000000</td>\n",
       "      <td>248.000000</td>\n",
       "      <td>248.000000</td>\n",
       "      <td>248.000000</td>\n",
       "      <td>248.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.817978</td>\n",
       "      <td>13.453408</td>\n",
       "      <td>4.148962</td>\n",
       "      <td>0.997638</td>\n",
       "      <td>2.565494</td>\n",
       "      <td>2.267168</td>\n",
       "      <td>2.478270</td>\n",
       "      <td>5.892149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.639703</td>\n",
       "      <td>4.221463</td>\n",
       "      <td>0.752839</td>\n",
       "      <td>0.094501</td>\n",
       "      <td>1.307230</td>\n",
       "      <td>0.202472</td>\n",
       "      <td>0.167156</td>\n",
       "      <td>1.893100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.114706</td>\n",
       "      <td>2.609667</td>\n",
       "      <td>2.237143</td>\n",
       "      <td>0.694064</td>\n",
       "      <td>0.779644</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.071130</td>\n",
       "      <td>2.963563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.601507</td>\n",
       "      <td>10.609767</td>\n",
       "      <td>3.668598</td>\n",
       "      <td>0.940872</td>\n",
       "      <td>1.608000</td>\n",
       "      <td>2.039679</td>\n",
       "      <td>2.358730</td>\n",
       "      <td>4.423727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.104905</td>\n",
       "      <td>14.226085</td>\n",
       "      <td>4.186313</td>\n",
       "      <td>0.987421</td>\n",
       "      <td>2.092024</td>\n",
       "      <td>2.278521</td>\n",
       "      <td>2.467441</td>\n",
       "      <td>5.435888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.893562</td>\n",
       "      <td>16.697884</td>\n",
       "      <td>4.676105</td>\n",
       "      <td>1.049598</td>\n",
       "      <td>3.423808</td>\n",
       "      <td>2.426457</td>\n",
       "      <td>2.592688</td>\n",
       "      <td>7.179520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.978531</td>\n",
       "      <td>22.062379</td>\n",
       "      <td>5.873684</td>\n",
       "      <td>1.424936</td>\n",
       "      <td>5.994802</td>\n",
       "      <td>2.742678</td>\n",
       "      <td>2.969828</td>\n",
       "      <td>12.175439</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       AVG_DRIBBLES  AVG_SHOT_DIST  AVG_CLOSE_DEF_DIST     AVG_PTS  \\\n",
       "count    248.000000     248.000000          248.000000  248.000000   \n",
       "mean       1.817978      13.453408            4.148962    0.997638   \n",
       "std        1.639703       4.221463            0.752839    0.094501   \n",
       "min        0.114706       2.609667            2.237143    0.694064   \n",
       "25%        0.601507      10.609767            3.668598    0.940872   \n",
       "50%        1.104905      14.226085            4.186313    0.987421   \n",
       "75%        2.893562      16.697884            4.676105    1.049598   \n",
       "max        5.978531      22.062379            5.873684    1.424936   \n",
       "\n",
       "       AVG_TOUCH_TIME  AVG_PTS_TYPE  AVG_PERIOD  AVG_SHOT_NUMBER  \n",
       "count      248.000000    248.000000  248.000000       248.000000  \n",
       "mean         2.565494      2.267168    2.478270         5.892149  \n",
       "std          1.307230      0.202472    0.167156         1.893100  \n",
       "min          0.779644      2.000000    2.071130         2.963563  \n",
       "25%          1.608000      2.039679    2.358730         4.423727  \n",
       "50%          2.092024      2.278521    2.467441         5.435888  \n",
       "75%          3.423808      2.426457    2.592688         7.179520  \n",
       "max          5.994802      2.742678    2.969828        12.175439  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avg_cols = [col for col in shooter_dfs.columns if 'AVG' in col]\n",
    "shooter_dfs[avg_cols].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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bWbZsBS+/vJGlS5dPoY25YW9oIPn6AazjLqyqjQRtUbEs06Trscfp3flatjZ3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      "text/plain": [
       "<matplotlib.figure.Figure at 0x127562350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"darkgrid\", color_codes=True)\n",
    "g = sns.jointplot(\"AVG_PERIOD\", \"AVG_TOUCH_TIME\", data=shooter_dfs[['AVG_PERIOD', 'AVG_TOUCH_TIME']], kind=\"reg\",\n",
    "                  xlim=(2, 3), ylim=(0, 6), color=\"r\", size=7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GAME_ID</th>\n",
       "      <th>LOCATION</th>\n",
       "      <th>W</th>\n",
       "      <th>FINAL_MARGIN</th>\n",
       "      <th>SHOT_NUMBER</th>\n",
       "      <th>PERIOD</th>\n",
       "      <th>GAME_CLOCK</th>\n",
       "      <th>SHOT_CLOCK</th>\n",
       "      <th>DRIBBLES</th>\n",
       "      <th>TOUCH_TIME</th>\n",
       "      <th>...</th>\n",
       "      <th>CLOSEST_DEFENDER</th>\n",
       "      <th>CLOSEST_DEFENDER_PLAYER_ID</th>\n",
       "      <th>CLOSE_DEF_DIST</th>\n",
       "      <th>FGM</th>\n",
       "      <th>PTS</th>\n",
       "      <th>player_name</th>\n",
       "      <th>player_id</th>\n",
       "      <th>date</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21400899</td>\n",
       "      <td>A</td>\n",
       "      <td>W</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1:09</td>\n",
       "      <td>10.8</td>\n",
       "      <td>2</td>\n",
       "      <td>1.9</td>\n",
       "      <td>...</td>\n",
       "      <td>Anderson, Alan</td>\n",
       "      <td>101187</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>brian roberts</td>\n",
       "      <td>203148</td>\n",
       "      <td>MAR 04, 2015</td>\n",
       "      <td>CHA</td>\n",
       "      <td>BKN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21400899</td>\n",
       "      <td>A</td>\n",
       "      <td>W</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0:14</td>\n",
       "      <td>3.4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>...</td>\n",
       "      <td>Bogdanovic, Bojan</td>\n",
       "      <td>202711</td>\n",
       "      <td>6.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>brian roberts</td>\n",
       "      <td>203148</td>\n",
       "      <td>MAR 04, 2015</td>\n",
       "      <td>CHA</td>\n",
       "      <td>BKN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21400899</td>\n",
       "      <td>A</td>\n",
       "      <td>W</td>\n",
       "      <td>24</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>...</td>\n",
       "      <td>Bogdanovic, Bojan</td>\n",
       "      <td>202711</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>brian roberts</td>\n",
       "      <td>203148</td>\n",
       "      <td>MAR 04, 2015</td>\n",
       "      <td>CHA</td>\n",
       "      <td>BKN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21400899</td>\n",
       "      <td>A</td>\n",
       "      <td>W</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>11:47</td>\n",
       "      <td>10.3</td>\n",
       "      <td>2</td>\n",
       "      <td>1.9</td>\n",
       "      <td>...</td>\n",
       "      <td>Brown, Markel</td>\n",
       "      <td>203900</td>\n",
       "      <td>3.4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>brian roberts</td>\n",
       "      <td>203148</td>\n",
       "      <td>MAR 04, 2015</td>\n",
       "      <td>CHA</td>\n",
       "      <td>BKN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>21400899</td>\n",
       "      <td>A</td>\n",
       "      <td>W</td>\n",
       "      <td>24</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>10:34</td>\n",
       "      <td>10.9</td>\n",
       "      <td>2</td>\n",
       "      <td>2.7</td>\n",
       "      <td>...</td>\n",
       "      <td>Young, Thaddeus</td>\n",
       "      <td>201152</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>brian roberts</td>\n",
       "      <td>203148</td>\n",
       "      <td>MAR 04, 2015</td>\n",
       "      <td>CHA</td>\n",
       "      <td>BKN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    GAME_ID LOCATION  W  FINAL_MARGIN  SHOT_NUMBER  PERIOD GAME_CLOCK  \\\n",
       "0  21400899        A  W            24            1       1       1:09   \n",
       "1  21400899        A  W            24            2       1       0:14   \n",
       "2  21400899        A  W            24            3       1       0:00   \n",
       "3  21400899        A  W            24            4       2      11:47   \n",
       "4  21400899        A  W            24            5       2      10:34   \n",
       "\n",
       "   SHOT_CLOCK  DRIBBLES  TOUCH_TIME  ...     CLOSEST_DEFENDER  \\\n",
       "0        10.8         2         1.9  ...       Anderson, Alan   \n",
       "1         3.4         0         0.8  ...    Bogdanovic, Bojan   \n",
       "2         NaN         3         2.7  ...    Bogdanovic, Bojan   \n",
       "3        10.3         2         1.9  ...        Brown, Markel   \n",
       "4        10.9         2         2.7  ...      Young, Thaddeus   \n",
       "\n",
       "   CLOSEST_DEFENDER_PLAYER_ID CLOSE_DEF_DIST FGM  PTS    player_name  \\\n",
       "0                      101187            1.3   1    2  brian roberts   \n",
       "1                      202711            6.1   0    0  brian roberts   \n",
       "2                      202711            0.9   0    0  brian roberts   \n",
       "3                      203900            3.4   0    0  brian roberts   \n",
       "4                      201152            1.1   0    0  brian roberts   \n",
       "\n",
       "   player_id          date team1  team2  \n",
       "0     203148  MAR 04, 2015   CHA    BKN  \n",
       "1     203148  MAR 04, 2015   CHA    BKN  \n",
       "2     203148  MAR 04, 2015   CHA    BKN  \n",
       "3     203148  MAR 04, 2015   CHA    BKN  \n",
       "4     203148  MAR 04, 2015   CHA    BKN  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shots_ds.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def convert_game_clock(time):\n",
    "    mi, sec = time.split(':')\n",
    "    mi = int(mi)/12.0\n",
    "    sec = int(sec)/60.0/12.0\n",
    "    return mi+sec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "shots_ds['converted_game_clock'] = shots_ds.GAME_CLOCK.apply(convert_game_clock)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "shots_ds['period_and_time'] = shots_ds['PERIOD'] + shots_ds['converted_game_clock']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 4, 3, 5, 6, 7])"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shots_ds['PERIOD'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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cjquvfhVbtpw1i0QzaO05OOusrVxwwYV88IPvQ0pZsByfeOIx9u17ihtu+ABf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\no5pe8gWAaDrcSkVoNRACa2amqQsW0bOwMpdgTU7J2mvuOGBVA32PPgZ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XauCchdTNotcm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jgo+yQkCdIEa5AQhYnW0YvPNKoA0oRxOkbX007EmkZ7enoaP/zhD/Hss8/CdV380i/9Ev7iL/7i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\ne7q7eqZ7NOf7+QiJDlWnb1fXuffcc35nYCDj2JRwxNEml6VLv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mGS0y6krNP+4he/iGuu\nuQbPPvssli1bBsuysG7dOrz00kv49a9/XdXBFy9ejLvvvhtf+IJcXb366qtYvnw5AOCMM87AqlWr\nprXTdjO0E7t3S3WwSo5F12VjiHR+BEOkU0i+shFKKCRDk9Gos+3GwAN+GIMD2Ubz4TC0nl6owSAW\n3/4VDPzy5xh/4fm8VbSdSmF89Qslb9RMUeQq0A0jCwE7FkN07Wok39yM5Buvy1C4pkKbNQfpnTuR\n3HIPWCCIyPKTAQbou3dj/PnnEHv+uexqS9dhDgzAaGsv3d7T+fHzgD+T6WybZrZlZilHZ1lIb9mM\ndLXhSMsqLeMJAMkkjBLdl4SuwxwexujTT2WS9ayxMemgVBUsHM7evHI+i5VOQ5s/P/OQv68PyS2b\ns5n25W50Apn2pMae3fD3LQRjDHb/DthGMpNLIPcW82/Ixv5BmM8Old6jdr7rorNOGC2TkqVCCAg9\njeQbrxffqDkHTAuAfI1cTbKiszEha5dNJ2oiDAPG4ABGHvlj5jWFoi2ZemtFkdvR0ajsjZ5T4WDl\nfAY7lQIPBMBDMgKU2rkTViyn9/tEWBZEMgEzmZBVBGtXQ+3oQGLzG9ncDwCxdS9m3hJfuxrKrMeQ\n3rO3Kp2Eiriqg0LAHftqELoOoevQ9+yS3eLKSf7atjN+0qGaAEaeeAxWPCa7ybnHK6EkJ4QANBXG\ngf0y+7ua312p1zAGtbsb+q5diL6wKlM+2ttTvLqvBgqPF1PWab/00kv4/e9/j9/+9rf4y1/+AsYY\nli1bhltuuQWdjsbsRJx99tnYvXt35v9z5U/D4TCi0Rp+cC1KdM2aiR02IH9EwyPO/S7/B2MOy6YE\nblhbCYVlB6L+fpgjI3KfFMisYFy1sfjGjfKx3JtFuRsBYwgtXAg+dz4S27bCclSyhGEgtX0bsF3+\nmykKRMJCfN2L4OEwrGgUSlsb4utfkrZF2hBb92KR7KiwLFjxGMzxsdKhP0WBf9GSTChZducKgPv9\nCB31dow/v6rY5rJjygCfNnF9cDXHcxpmyCS1ROY1wjCymbFF9cwmUlu2AGe8G0BWltVtExnf9CpQ\n6Ow5hzAN8KAzOYvFMnKcPOAHIJtl8FAIQjekSpgbAncV5RpZqeCW7pkFq8KC18jPXpC3oBSMibvq\ncl7POJe62Tm9qtXurmyzkcLvjDGn/lsUJ0nlRGvchhdWPAY7EZNypJs21Vd54CStuSv2dH9/zjgb\nEIYuSycZg7mjX35mr6WdOavTkqpvE2CNjSG2+vmJ94jdbYtEAoY7USp8vgC3/W56+/bs85zLzoPB\noJxkp9IAROXogGkitX0bzNERJN/cAkCKKw0+9XR92ePktIso67RXrlyJiy66CJ/61KcadrLcPtzx\neBzt7e1VvW/WrLaG2dBo9mkcyWpuGELAFwnBGI8W/fgZ52CmCU1Tgc5OzPvQBzDnrPdh32NPIPXK\nBghVgW3YUP1+IBmHPbgX429sAkxDrnByhUXK/JiUcBjH/X/fAgC8ctvtGB/JEalwdIcZZKKRcP5m\npgnGsisCV9bQdvbOc3tyM84hEglwxmSrx9xELCfRSd/8OpIvrwcDg6+9DZg7F+1vPwqH/uM/4LkL\nn616zJVIWIb2nYQn22luUTNCgDMBReGIvO0QHDiwP7N+ZM6qPPM5c29kQiDx8gZEH3oA4SWLMfu9\n78Hsi7LbSK/cejuiiQSEWxbljAFXZWa6NToKK5EAV1WwVAL+zg6obQtgRmWY1xgfBwsFIISAMTIq\nQ99lQvV5dlXruBQFSiAghXbK3XwVBdzngzALSpbcGvzC1zs16W7iGGcM3K/BjErFNyseA9c0WQNe\nqNXvlniVC4Xm7P3bySSMvXukillnO0KLFiD2elyG3R19ggmbkrg4Y2aNjkKkkrAtGwwi0/zHzSdR\nAj4I04KtKNnvsx6qTTyrNDlwf6/u69zHKp2zChgEzIGBvPMzVUWwrw/hJYsQ2/Im0gdkroVdRURB\nLjbGcOB39yO5bi0gWM1Om6kqFNgtff9vBnU1DKmXt7/97Vi7di1OOukk/PWvf8WKFSuqet/+/a27\nItfjVc6YhYBpWFBnzYKZTMlSD2fPkIUj4D3dSA+PgAcCGB2OYuAb30H8tU0yuchxpHpM1tymh0eq\n2gvLOz2ArT/5Oeye2bACEQgz+37hdHXKhO44h+AclmnCNgx5Q7RsAE7/5MJEGmc/1Rgbyzb3SKez\nmdmcQwiB5N5siNG0LKht7bB7Zsvvt4ZVjGWa4IoC23ZaUypqViO5HG5jlNybLucQYFDnzUfbR67A\n6PYd0J2VhgBk7+tCZ+nYb8XjGHzueagbX8HgSxvBAkGIVFL2x44lpFNT1ExSHiAz5qEosKOyjadl\nGLDSaRjxBEKz50HoFoQAOj54OmALHHjovys7icIwNmMTh2gBuZVQqhmGexwgm/XLeX45Y+Get/tY\nQf2+b/GSbIWB8xpXIChvv959fynRH8bkvndu/b2TdS4MA+Mvvyo7oQEZyVkWCMhjTTQOiiJzDJxw\nvhV3wvrueQEIxqAGA7AF4Ju/ANA0mKOjYADMsdHSbTMbwQROOO+a0DRwvw8iJdvFVrOqLoXpTA7z\n9rktC8ldu5DcvVtGQWxLTuLdDmiVcCZxlhHD+CuboOYmrlaLqsFIplr6/j9ZVJqolHXaW7Zswfve\nVzwzkuUWDE8++WTNhnzxi1/ELbfcAsMwsHTpUpxzzjk1H6PVsHW96kb1xsgwuN+HtuXL5UzUERhR\nu7qQfON1WPEYrHgMQw/cL9tmimzJCxjL17eu1c5YDMOr18C2ZQ1xXolVbsKYbUtnA2SaM+TdYEtl\nvrq12ZzDv2gx1K4uJF7emBFp4ZE2KT+ZE/pkAjVl8ebCFAVaby/g9HEWhg5rZMTp/2EX13UzJgUi\ncrubAbJ1p88HHgwhtuYFqQXtfi7TlOPgluqpmhyznLGwEwlYjCG+caPssx2NZp2HJmU7eXeXsydp\nSLW4Qtsc7ebkG69BbZORJ845kls3Q5Tbry0cf0eCVp3VU7qbWSlK3czdumjHcdvJJJimwTdnLozh\nYYh0qvL7c7ATiWxJXuFpXFW/Cqt8pb0DoaOOQuDQpTjwu/tLO3Xb0ShXFGizZyN46FLAH0Di5Q2V\npYWd9pwinc52Xiu0UdNkljZXwFUVtmGg6/QzMrXdbsliur8f+oH9jXfg1U5iTRNqezsCy46DMTSE\n1PZtWb38Wik8n2Vlcys4z8jz+voWwhwdqelaK9Xtb0JUBWY6nfE5hKSs0168eDF+/OMfez7BggUL\ncN999wEAlixZgnvvvdfzMVuJwKJFMAcHYFcTkjNNmNEo+MgI/Av64H/nCrStOAV7vvufct/aDQ8W\nHmciIYpC3GSwgolERiSinK1Clg4xOEl2lpXN2i5YWZWyz/2BmyMjTj9iA8ynQe3slDWgLpzDN29e\nvrhFLXuFjCO9e3demJAFgvD19joTn3j2xuU0Jcm0KcxdSRg6zLExWPE4Rp54vLhJhZ2t4WacgfmC\n0hFllLpSMN0VfsxJMnKT6ziXzTdCYbkHi5iMrpQTLdF1WLEohG5gfPUL0CtlKhdOmCBruLWubtnX\nvN4QrhP6d3tKA3LiZgLgAT8svXQrzFL2ye53pR1H2R7RzuQvePiR6PvM52T+w5NPyHB8JSdm2zAP\nHAAOXYreiy/Btuefq2yfZUGJtMEC5ES4zIRbae+ALxSEacrnc3X0GecIHnY4eDAE2zBkomMu9Sr8\nuVQb8uYctqE7zWLimfIqc3S0PmGScnoSTnWDbRjQurvhn78A4+PjZSdmhe+1yjV5qYBwtNtjsRja\n2ihE7lLWaWuahgULFkylLdOSWR+7BmL4AGLbtpfvPuRiWbCGh5EcH4e+ayfGnxcYevT/yP7CEykj\nVevUVBVKezsYWF6jC/f85d4DN+QJAIzJ/c5abv7OzT614y25KsqV9IwnoM2b7wiG2OCBACInnpT/\n/iqjFQAgYjEgd1dVCIhEHPpeHUp7O8LHnQBrbBTm6AjMkVG5wi6RUAYAME1EVz+fOU7hZ8o4aMsq\nvdorHCNnoiM4hxWLQp03H/qeXTLhqZyWtWXBjsczN8Dk669VNQ7u98WDQcdcAf+ixUj375C5DqVu\nvpXIndTkjFWmU1rueSe6Hss47MrvkcfkHe0Ye/ZvGHvmaVmqN1GEybn2xp9fhcTmzeW7wrnYNvR9\ne8EDweLP4azytZ5uCEWDOXIACMrOarmCLGPP/g3Df/ofZ7++hOPy4rBrwbJgJZJIvLUdzDRlop+b\n8FYrztYWU9XSztiyIDhHfNMmWQlSw/3BrsNpM0WlRLQSlHXaJ5xwwlTaMW2JrXkBtm5AmzMXxoH9\nRQ6rJKYpf+hCFPdiLkeV4TL/osXoOP0MxNaugTk28Wxbae9AZPlypPt3wEqlIfS07LQUL5xEFJf5\nlKLUKkqkktB37QT3+6T+s0/L1vTmHb8EJT93aTvclX7oiCPQefqZ2PeLn8qsdNf5lhvDSbjBMk2D\nnUohsXG9DJ1O5EAn+m5zQ9duVINx+GbNgtLZCWNwIOM82t+5AuHuToxs2Yp0/47yK1vnuExVnWYP\n6fLXi8ifJNUyyaoJIZB8eSOEU6LEwxEwN3JSTQLUgRJhcZ8PXNPk5M39HLouE6pyI0mMwTd7Djrf\n/wGM/eVppyMdoIYjaDv5nXlbObG/r8m2rJ0qB10GIQSQTGarc6pNeFOUTAWHnU6Dd3UDyYQsvyy3\ngjYMWGOjsBJa+X1tVZVjYpfYgqsFhQNpkjEtpKzTvvXWW/GpN8MAACAASURBVKfSjmmLGzJjjIEr\nKkQ4LPcwJ5pZlkjmKnthVzNrdt6f3rYV+/fslvvgE93kGAMYkN6zF0zzITBrDhJvvFa6wQFj1fjs\n8hhO716fDyItEF2zGoDTrjOVLL8yq/HHbsfjiK5eDSEEon//ewnxB1Wea5JvtFauQlQjEAKwnBag\nznGZTwMPh7Ja6g7G8AjQ1S47sOmG3EMu1Ip34Rw8EIQ2Z7b8LlpA69lOJJDevQt2Ki1zO2qRhC0B\nU1VEjjtetpK0czrkFX5Wp6xsfPVqWTOu63ILJZGE2tWFthWnQNg2Bu+9B8mtWys3AqlELUmDjl2Z\nEr0KdfpVHadgm8s3b56crMdiMPftlSttzVf5fuQKxpR7jWlmP6OX740rLXE9thpTmj1+MOJbsACJ\nDevkhW/LPZ+SM9BS5RnVXtDuj63SBZy7V1ttwpoQsMbGZKcuYIKboxeP7RzBMOSKiTGktm6FPjAg\nP1Y0Wl84rxAnyS65+Q0kt71ZWtHMMsHb2gEmk/MmxXlXu9JxKacuVXzgvIiB0NNIbd8u9+ydzyoE\nYA4NYd+bmzNjLSxI2VDGim/6lgU7nUJ6716IWno7T+bNVAjZXc35d63vLcIWSLz2mozuGBUiCZYF\nMx6DtW1rfiJoOo3x555FYvNmBN52GOIvrq1Nh7zUuSZ8LwOCwewEMzchtV5H6F6XziRA7e6R1Qt7\n92S3gYDq9OsnusYb8btSFPm5PTj+g5E6UvqIPETOVrDTKacQ5vNB6eqS+r9+P3g4nNVYdmfRfj/Q\n0VHaeZX7gTAGFgpVJ8jPORRXF73U8Ss5bFUtrYFeL07Gt52I5wlw1EXOPnxuPS/KiHi49dKRY5Z5\nWgU0BMaAUAhqdzeUzs6aIioAMo7GlUZVQmEofr8UBslpzAEhshMYrhRpaAvDkCH8SmH0RuKW31Wi\n1olPpUOZpizRqmZFalkQZr5GvYu5fxCJjevl/3iZZFb1uYTUtXC3BWxbJs01KIuaBwLQenvl1knh\nBEyI/N4C9cJkT3rmD0Btq0N/3L3nWC3aurRJkNP2iL5bhseFELKEpMwMM3TEUQgeeZRc7TiiHTwU\nkqUlqgqu+dD2jqNlD95CckPoBY8zpUT/5VIIAasweznXyVUKzQsBVzmsZhy95SLb3XpgtxlJvTej\nUvt4ExxK2BZiGzY012m7Ewgm2yCyepOHAIh0GlY8Dm1BH0zLKq06Bjjdx5zv39H8zuAxBF0Tk12+\n446lMyHmfl/1kwBnJSoKJjZFTEHY1nZbpObumzcoMmQnEki+/ppsTlOIZcle5bU2nymEMXCfH8Gl\nS+GfPaf2t7sVDAY57VwoPO4RMx5HerByTSgPhqR06NAQ4JZ1cQ4EAuCRNghDhzZntqxlLjerLPNj\ntaPjJR/PnMO9WQnhaEjnwDiYpmRrm0uRs5rLf29+mI739IAxDis3Ech12KVqcoWAOnceRCol62Hd\nhhn1Oo7cxKhKx3CbNSQr9N52bQcmb+/b+U7seBwG5zK7torPznxyJV2Y5CMMQzYTqWa17OZT5O5x\nFgqeTCaWBaW9o3Q7x0YgBACZrwFFgW1VmcPAmKzbD4WgdXUj9db2opfYTklfXdSavDeZ196E57YA\nr6dnshVoZPnJaO8I1v5+Z5ypaUg+5LQ9ktj0auUX2DbsZAJifKx4P9u24ZszF1p3F9K7dsIYGMxq\nTXv4wbJIBIrfD8WpEbZisaxkad4LZbtMO5EoHzostYfGuRQRyUm2E/E4ei+7ArG/r0F6Zz+ELSAs\ns7zQgxAw9uzOymK6ySv1rmCqSLpjqgYoHALCaVNYIlnQrcvWNDBVvqZoH7iKPWjmDzgTkYn3Pu1Y\nrPS2RQmEngbz+eTKXFHyspcnTH4sMtJZifp8cjKgp2VDm4lukh4TjABAWKbs+lUyK9ypVKjyHMwv\no1PCtnPyGATAFRnZqlLnW1ZSnITAwoVI79wpe8kX2pZKyZrxyhYhr8cA44DCoTgd+0SVXck8wZg8\nr2hwBIVzKO0dsGPRgkk2kzkDnMvSMSfE3n3uBeg47XTMntNR17kAWmkXQuFxj+SpRJXCskrncDkr\nLX3fXsTWr4O+bwBWOpUtlfASQtR1sFAYHe99H9Tu7vIO2bKk7nIpp1IpPMgYlK7u/H1R04K+exfC\nJ54k65QdnfKKYXdDOrRMFu4kJzcJIe2yhkdKts7M2OXA/T6oPT2lHeoEjlikU3KFUG1ST7WZyEIK\nsQgASnt7cV/zKpHdxpRMcpqdkrXsXK1i8tCA8LYdj2d7Jbv9oTOJUig5USx3XsYYZn30SvDCraVS\nEaIKKKEQZn/0CnScdgb8Cxfm9ZGvCeZMJJy9e6apUNraYRvm1DhsR9gneMQRYMHq9qaZm2Mz0etU\nFbauo6hnvMKhRNrkhNKUokTBI46Cvmc3xlc9W11yWyHu745W2nmQ0/aIv29h5RcIueLM3HRyEqdE\nOg1rZFj2uU2n8rPOPcyOhWFA8ftksnFaz3arUpRiB2Tb8uYdDmf2OZnfX/EHHFhyCAKHHFJwHAt2\nKonU1i2wUym5yq40+WDOzDw3fD8Z5CY9ZTJ+K5zLXT3YNqxoFP4lh6LtnSvk+HBn7Kq1dbI+k5M/\nYY2Py1yJtx2GwNLDZPvUamAMam8vwOCUNclENJFOO5rpEzjuRoVtTVOOd2EUyI02OdEEKVM6B4Gl\nS2VGdSGKIhd64RIOqganbetpjK+SjWvaTzkNoWXHlb5+J8o/4BxKOAwelEmiSlsb7HQKotJWVu52\nhRcYg2/OXHSfdwHUrq6JFxUAwivehdDxJ074u4eiQCgKRLJE8pplwYqOy+vIMiGSSSQ2rkdyy2aM\nPv0UBp96uvaP4obHSWAlD3LaHpn/mc/DP3dOpo1dSWwbSk8vlJ5eeYNR1cpJHl4ztYVAqr8fQw8/\nBDseAw8EoIRCCMybC3XWrOKXWybajjsebaeficDSpdBmz840i2CaBvj8YD4/lO5utJ1yKvquvwFq\nKJyftW7bGF+7BtHnV2UTZxiT6myF2e2MSZt6e6UjnMi55d5InPBbJrnNHctyqzDOwdvbJ85WzsWJ\nFAjThDE8hDnX/ANmXXIZeHtjpBQzE6SJXwkWDkOdOxesrb3oPcKywAIBKa6yb69ssVoNjrZ8oZMQ\nul5ds41qYEyu8rQqVqulvjvbllULgSAUJ7ueaT5Ejj1Ofp/ue4IhgHGMPPao50oEFgpndRc4hxIK\nlb5uVBW+ww4v+my8vR2+w4+Af8kS2KkUbEMHNB+U3uLfXBFCCtawQKDyteHaoyilbVMUKJ2diK5Z\nA31oaMLJhW/hQsz/xCdhj4/Jx3w+5/dUENlQNfCe3tJVGa49uSVlLL81a/yt/gofvpx97p42hcdz\noT1tj8T/vgZqOAIsDMoG8mUuMGtwIP+BSivQRtw0dR3W6Gie4pMVi5ZeZJomYuvXQWlvd0KlKXnz\nFiLTNIR3dqH7vPORenMLtn/pC7BTyeIfU4kaYKZp4JEIrJGRoix4e2Qkm81cicJVmHODy4xVBacv\nTBNibKy+Va9tQ9++DQMrf4HE66/BHhur/RiFcA7u98NytwMq2MV8GkJHL0Pi5Q1ZVTUXZ7WdeOVl\nmMNDtWV/m0b1zR48INJVqANWirIYBoRpyryMAweyj+fWK6eSsIWAXa65Si32JuLwzV+A0b89I53e\nnl2l7dd1GP07ihL3eCAARVGklK+TXyB0Hek349VNxN02qBWNdMaq3D3CNKUMbjXXAmPw9y3CwC9/\njuSWLZXD0KYBe/9g+ePm2pMR/8lO1sNLFk1sTyGKu6dNK+1cyGl7JLeJgNCN6pN0ytRd52Utewmv\nFu4BVjqWELIrkyvKUnhuIQAIjD7+GIzBgeJ+vuVwSj5MR7I1gzOTF7aoL6kpt6683rGu9lSWheRr\nr8EqTCSsF02DnUiATSQaoargkQhSr2+qmBHeMLsaTaO2PHJL+lxcgZnCx6vF/Z3lOBrmD8A3Zy7A\ngOGH/0dKlBa2IM01q4SAkbl/P6zx8ZICNkzTwMJh2OVaolZLrppaueNUeXwl0obAYYdh+L9/X10t\ndKX8FBdVBQOD2tODrrM/AH3vHvj7+jD7ve+pyqa8w7rbUbTSzoOctke0+fMRfWEV7LSeVVGqE9kK\nkJeWKqz6IDllPLXsPU6QCGZHY9lOWbnvqYSiwE6ni3WMdR2CczDuqHXVw1TpPQvZO3nC85VwBEVw\nDhYMTrzyd0KTdiw2cT/tycwHKEcDssc9M9H5VbWsY2Oals23cMO5tgXbtjH0h/+WpWi556mlmU25\nGnnThNLbK/MHvPy+rRI5GU5XuQl10Au+NysWxf5frfT+W3KP6eSPcJ8fgUMPLdFfoEYUCo+Xgpy2\nR5Kb34AVj1XMbaoWTz/mXLjS2IxLN/O61lWCZZVu4ACZZMJDYVjJRPFkoJWoJnwPVDdJsm2I0dEq\njmUDhqMzPsFevNvViWkalO5u2IYBu5RgRiNxHV2zHTdQvvyuwo1e7rUWbDUYBlJbS0jfuslwpZx2\n4bkrTaAsC+bu3Q0YsxLvrzZLvvA7a3S1hm0D6TRsxhDfsB7x1zaBc47o6hcgdm7HYf/2qdqOxyk8\nXgpKRPNI/KUXvTvswkQrrxKJk1EiUU9zhHI3MafcCAyAackuU42GMcDvl4k9Xo5RC42Ues21oZok\nOs7Rc86HoLkJgpNhi0sphbupIPecTiIWD4WgzZtf44HKXMe57WndU5aQM80eRuQL1VQ8ZRMiIrko\nqtTcnwKEYcBOJmFHo7CiUdjpFEb+/lLNx8lkj1PJVx7ktD0g3BpjzwcqkWjV6tR703bFS3warHg8\nK8DSaNtUFWokMrVjORlhvGpaPzp13qmdO+FbuLAx7SIrfb+16AhUO+mo9VjOaj987HHofN9ZjTl+\nCccq3Br6Gt/XaiiRMLSenqk5mXsPy4kAcH8V/REKcRLRQOIqeZDT9oBb0zkjKbOCzkQKyt6oGZSu\nLtkuUtcnZ5IiBGAYUhbWy4SgxW/EuQjbhp1IIHDoUhm58JrsVEoD3yV3L3hCw2rMrahEbijatgHL\nQuylF7H/t79pzPFL0ZDrswlRiQKseBzp/h2NP3CpayA318KyIACobXWUS3JaaZeC9rQ9kN61Sya8\n1LIX7e6RVbMqq2bfsJ69RTccnZsd6+yLypkxq72zjqrCv2CBPOzomEzmcWs3OZeJMrYNxjnsWMyz\nrHFVTIMVUMNgDOboCOIvvVgx67kqFAXMtmS2cykFr0xylo2S6mWTQRlp36rb0JZCUWQIVgiZmFbt\nvrCmyez/arXyFS6TC6fI+TCfT24A5N6XKsgUs2CwuKSwWqrJb7AshJcsrvnQWXEVWmnnQittD/j7\n+moP3TAm98mq2HPU5syFf+nSiseqa+8y15nl/J2RE3UaLdSEaSK9axeM8XFYyURmJQSnGYkrayp0\nXSpvOb2eK9IIhagayLRNrWRPXQeems8ghIA+PDxh/XcVB5I3/nJOzA0ZN1rXuhKTEZFxHG/1zleR\nugOaVtt3yhiYWkYMpdEwBv+hS+XWUBW/r8DSpTK/xOP1UvE0mgYlVOF3VQ53pW00KEH3IIGctgfa\nTzmtul7WBQjLQjWtLu1EAukdFUJa1ey3lcJt91d0QjvjZOvKLLUs2KOjE0ce3PKyic4xxStlYRgI\nHbMMvLe3vD11HXgKPoNlIbVlM8x9DRBNMU0psFNrA5JWhrGsDK2Lex26172qSilPRYHS0SEVDHNQ\nwhHwYFAK9tQkZuOIpkxmcmAOwjBgxWIT2sfDYSz47Bfgm1N728xa4KFwfeIqmowIHlTXYQMgp+0B\nxjkQrDE7mTEZ9qkUfnZW4lYsOv2EBVoxHF3tqsi2oe/Ygd4PnpfpHDWl5/dKI0t4vK7WWwk3x0Ir\nL3cLAExV4Zs7D/6+hWg76Z3o+dB5UNvawDTZBY2pKmA7Ealax9qdpE7yaptpmszlqCKPQO3qhuLz\nVV541HrtMp6X28LCYfScf0F94iqatMtOVtelbaZAe9oe4f4Aavr5VlNTqSjZ2f90pNr91Kmq9a3h\nHGYqifTuXTV1h6oKt3TIzWdolTrnmQDncqLMWMXqTGGaMIeHYKfT0AcHwRgDVxh4wA8rkZQiO/XK\nDDcialSFCpzQdVjmWFX6AoFFVax+a7ZZyJa2zhhp7R3oOPV0ucCpEeZouwty2nnQStsrtSZsVUO9\n4elWodLv3N3Pb2QpUDnqWOHao6MYX/VcYyIcued3y6Tc77WRDrsZNdPTCcvK5FJMNO5WIiFfm0zA\nTsRhRmU/eljOb7LSdVHFlpcnKtWM51KNIJDPD6H5MPq3Z2CX6itfL45QjRupMVPJ+qtsHKdtJ8vL\n+M5EaKXtEasahatamfYrsDL2h0JoO/Z4JF7ZKEuU3L3vWvYHy61QGZeJUXlm1JcNK1INmtkXJvs1\nKnLiTnrczF1FAdLp5q/ea5D7lJ3e/LB1Y+omqBONTbnrsKLkrKNGF47I5iaJ+OR8njLZ83XBGGDo\niK9djeTLG2DF4429dnKTW9PpvP4MNZnptGX1VCFwEEJO2yuNWC0qqpwdl5JjrIVm37QnIp1GdO1q\nmZ2saWCKAuFmiFe7si3rtOFdmc7L+acYpvmykwsBR39akTWtzbSvhoY5drLFbsZ1/vaErsPUhxts\nTAGNctjual0I2PG4U9I3iT8ew5RVNnXCNI32tAug8LhHWDX9giuhqoCwZdJFI+RQ6wmVVhLSaCRu\neNGyINzsZF2vaXVW9uaV+/hkht1bwGHDtiGSiRwBC2dMq9VJr4VaridL1nYfNAQCiBx5ROXXTLet\niZLRhMm7pv2LF6H9lNPqP4Cm0Z52AeS0PeLpHu6GE21b1iIWhncnyyDXuXMOqCq0WbO8n7ceXFtz\nJxuVboIVP1uVbUgng0beuP3+4klHodZ3uc/XyFpmzmVWsVZbSaNIpUqXNikKMFF5ZK3j6PMDqodJ\nc+44uxnPzr/Vnh50nHo6ln3tK1A6u8ofY7omi9ZDLdK1AHh7OyLvOhX7778PA088Wd8pNR/sZAIV\n29jOMMhpe0QJBet/c25ZTSMuympvILkyg6YJY/du7+f2iudxyHnfVP/AG+kogeLvsdryq0Z+btuW\ngji1JimVS6K0rOrq9xUVqKbJC+dgCveWCFo4zq5Tcpy3v68PjHMEjzqq/nPUQ6uu3mu5vhQFIpXG\n0AP/hdi6F7HnT4/Wd05Ny16LBADa0/aOPo11cTM/wubOYpnmg0jXsb/prkCnWy17OTgnIQnLRFXX\no23LVX0DJ0zc74cwTDCfs3rPHHqKnajXpMxmoqqZSglhyLaxlm3DrHPLyq0ht5MJ8EZqJ0xjyGl7\nxGpUpnErU+vNocbXq91dMPbWoeTlilW04s2rHhr5EabzmDSj3NGyYKdSgM8H7jSzGX38z9g6PIjk\nG69N7XjWmIUPoDG2uY616pB/iQQ2dwLtVjY49tl1rpTdnCErkYBaaZtiBkFO2yvT9L5YEzXcEJjP\nB6FqQKJEo4kyGIOD9VglOZj2FBtZ8z9dHXYtNPIzupKmySSsVArgHFYigf1/eQZWIjG141nLNlcj\nqVUAhkGWWpay1zkWC4XBFQXdy0+oz6ZMrfYMWBxVCe1pe+VgchqF1JqNrihQ58yVNcO10IiVVavu\nAxbCGJjPB97e3mxLmoeiwHf4EVAikfqPMZnftxAZBS8rmZz633izJlw1npf5/eAdHaW/C0c/wNfT\ng96PXIK3fep/12VSRso0QQIrLuS0PcKUg3gIJ5p5u6Fp5weqdHSCc46mhB+CHhICpwLGoPb0ILLi\nXVC6e2DHYs22qKl0rHgXIm87tPYmGm7Vg3vtTSZCgNXbSW8mYFngnIO3lZiAOpGL9M5+DDzwX9j6\nk5/Vd46c8DghOYg9ztQQPL7OsM/BgFti5PxArdERpAcH6185e5E2bfUftapCmCZif18rO3EdzBGa\nibAs7F95D8bWb6z9WhEi2/Z1MleknEPt7QUPBsEDgalpqznNEIYBc3gYgKgs4RqPY+DRx+o6h7un\nTSvtLHQleoTTjzmLbQMedIL9hxyKjmOObqBBLYKigDEGKxoFjCmqNqDr0hM8HEH4mGPRc/JyMK5A\n6exsHa38VtoKcpTVJoyu1TlJzXb6IqftQoloHjHq1NUlcnBW2MbAPlgHDsJQZDWd3RrNTEhE84rr\nhEtsA1ljo7CTCSg9nVC6OqHv3z+zoyPlcLPqJ+t681F4vBBy2h7R+vqQ3tnfbDOmN0543Y7HQbfF\nBkFOe0LkKk6Uro23LERfeB4xTZPCHq3UQraVvluBqpQclba2ug5PK+1iKIbmEYYpaDHZQHh7e+vY\n61W3vRWYzFBluWNPRRJWKapRKptGKJEweCXdfduuqp3nzKaKsVEU9Jy8vL7D0552ES1y956+6Lt2\ngmtaa+0zVYCxKnvyTjY+n0wmckqgpi2TOZZljs1UtTnf4UGm1mYODcGKjjfbjIMfxqCEQvW91c0e\npzrtDOS0PeJftKjZJtSENTbaGk5b1zPZ56QrXBtNG69WuG6I6YdpIvbm1vre6/TUppV2FnLaHpl9\n9bXoPe0Uufoh6meaRCoIgqidxO49db2PMQYeDJLTzoGcdqPw0iKQ8FajTRBE66IoUDw0+2CBICxK\nRMtAy0OPDN57D2J/XwsxVfW3ByuMNadRBEEQk4OjXKd2dECtM3scAHgwCHN8rIGGTW9oaeORVH+/\nrMGlGk5v+P3eQ+SKAjbd2/epqveIg8+H8CGHIHjSyY2xaSaiaZjylpzTiYmuUUUBDwbBFAXM58fc\nD76/7lOxYBBC12HTwggAOW3PME2DOFj6OTcT0/Se6OSW6ExnTNP7BJAxpIeGkFy7pjE2zVTIZ5dn\nomvU0V0Q6TSMvXuw+8E/1H0q7vQVoE5fEnLaHiGlngbRiIxoym6WpNMwx6mUyQuMK5Rc2kDS+/bV\n/V4WcJw23WsBkNP2jJ2i2R9BHGwI25re+gEHEdmVNjltgBLRPCFsGzApeYogDjoMg/ZQWwTmOG2K\nakpope2B8VXP0uyPIAhiIjz0JOeOmpoVizbKmmkNOW0PpHftIlEQgiCICVCc1XJd7+3pBQAYg4ON\nMmdaQ07bA/6+PqotJgiCmADbQ1WHOmsWAHLaLuS0PdB+ymk1hn0YlO4eaHPnTZpNBEEQrYYX8Sml\nqxtQFOiDAw20aPpCiWgeYJxDCYdhjVWr1iNgDQ+B1ublYX7/1PUvJghiavCwjcgUBVpPLwxy2gBo\npe0Z/+FHNtuEgwrqX0wQByEec3+02bNhRaOUQQ5y2p5JvLyh2SYQBEG0Nh6dtm/2bACAsZ/2tSk8\n7hWq5SQIgqgIr0NdbtTZdlRiMbCOTgDA+I63YHT3ZF4TiUTAZlgFDzltj/DOLthDB5ptBkEQRMsi\n6nCsJgSCfj/M9etgO5nj8RdfhJ6QKpSJdArz3nsW2jx0EJuOkNP2SOiwwxAjp00QBFEWkUrV/J7e\njk5EnPpus7cXaQBKKpl5bKZCe9oe0XeTwApBEMRkooQjAGOwotQIh5y2R2zKdiYIgqiMx4UNUxTw\ncAQWda8jp+0Vk1bZ3mEM1LyYIA5iPGiPu6htbbBTqRnfyIWctlf272+2BdMfIQBQtIIgDloaEI1U\n2toBYMaHyMlpe8W2m20BQRDEQY/iZIlb0Znd7Yuctle497APQRAEUZnMSnuG72uT0/aAsG0gHGm2\nGQRBEC2Nf1av52Mo7bTSBshpe2J81bNAtNpmIQRBEDMTn9Ne0wtKxHXatNIm6iS9a1ezTSAIgmh5\nEjt3ej6GLPsK00q72QZMZ3zzFzTbBIIgiJbHGm1MRFJpa4edTHjqzz3daYqM6cUXX4xIRO4F9/X1\n4c4772yGGd6h0mKCIIgpQ21vh7FvL6xYFAjMTDnTKXfauq4DAFauXDnVp244+u7dzTaBIAhixuCW\nfZnRmeu0pzw8/vrrryORSOC6667Dtddeiw0bpm8/at8CCo8TBEFMSIOUI0lgpQkr7UAggOuuuw6X\nXnop3nrrLXzyk5/En//8Z3A+DbfXScSLIAhiYhrUnyEjsDIenbEJWVPutJcsWYLFixdn/t3Z2Yn9\n+/djzpw5Zd8za1Zr9kuNjpCEKUEQxGQQDmpoa/PnPWYHezEMAIkYIhEfensjaG9vTf8wWUy5037w\nwQexefNm3HbbbRgYGEA8HsesCWr49u9vzRR/u2e2DPtQly+CIIiGEk8aYEgXPc5DYeijo4jFdCgH\nYkinD76M4EoL1SmPMFxyySWIRqO48sor8bnPfQ533nnn9AyNA2g/5TTqpU0QBDGFKG1tsBMJCMts\ntilNYcpX2pqm4Vvf+tZUn3ZSYJzTKpsgCGIKUdraYQzsg4jFm21KU5ieS9xWgpw2QRDElOFqkNux\n1tw2nWzIaRMEQRDTBtUp+xKxWJMtaQ7ktD0gqJc2QRDElKJ0dAAA7LHRJlvSHMhpe2B81bPNNoEg\nCGJGobR3gGka7OHhZpvSFMhpe4C6fBEEQUwtjDGoPb0QsSjsRKLZ5kw55LQ94O/ro5IvgiCIKUbr\nldoeRv+OJlsy9ZDT9kD7KaeBBWemaD1BEESz0Hp7AQA6OW2iVgT15yQIgphSVMdpGzveaq4hTYCc\ntgfGnv0bkJiZBf4EQRDNQgmGwEIhGDt2QMwwrQxy2h6I/X1Ns00gCIKYkfDuHtjxGMwDB5ptypRC\nTtsDM22GRxAE0Srw7m4AQHL71iZbMrWQ0/aA0tnZbBMIgiBmJLyrBwCQ2ratyZZMLeS0PWCNzkxF\nHoIgiGbDu7oAzpHaTk6bqBJGNdoEQRBNgakq1Hnzkd7xFoQ5c9p0ktP2QGT5yc02gSAIYsbiW7QY\nwjRnlDolOW0PtJ9yarNNIAiCmLFoixcDAFIzKBmNnLYHxqhhCEEQRNPQFi0BgBm1r01O2wOjjz/W\nbBMIgiBmLOqcOeCBwIzKICen7QE7lWy2CQRBEDMW/nkWVgAAFJRJREFUxjn8Sw6Bvm8vrBmiTklO\n2wO2YTTbBIIgiBlN4JBDAQCp7dubbMnUQE7bA0Inp00QBNFMgoe6TntmhMjJaXtACQaabQJBEMSM\nJnDIUgDktIkqCB719mabQBAEMaNROzuhdnUjtW3bjOgHQU7bA0o40mwTCIIgZjyBQw+FFR2HOXTw\nd/wip+0B37x5zTaBIAhixjOTktHIaXtgfNVzzTaBIAhixpNx2tsOfmU0ctoe0HfPHL1bgiCIViWw\neAnAGJIzIBmNnLYHeICyxwmCIJoNDwTgW9CHdP+Og77jFzltD/iPOKrZJhAEQRCQ9dpC15Hes7vZ\npkwq5LQ9YOzc0WwTCIIgWp6UZU36OQJLZsa+NjltD1hJ0h4nCKK1EULU/Meu449V4Q9nbNI/Z8BV\nRjvIm4eozTZgIgaeeApjB0YB2waEgHD+zv23/NsG7JznbVsW2ouCx/Kel++ByD4unOfy3yec1+af\nzx4fb/bwEERTqUfMoh75i6reU8mWap1GhWOwKo5R+Ipq3jPZ1GNDo61WpmAcfPMXgPn9iL+8Ack3\ntyD4tsMm/ZzNoOWd9pt33d1sE4gmUqtTqFcPacL3uXZUuPnUe1ty39cKN/haaQWHkD1wA448Db8D\nQsI4R8/5F+LAgw9g5zfuRNf7P4CeD18MrvmabVpDaXmnPakwJv9wDjAmb0CZPxyMy7/laxiY+2/n\n/83hYYgq9mqqdgi1vKfoo7AiB1fp9lPuZsuqeM1UUqsNLe0QCIKYVLrP+RAChy7FwC9+hpE/P4r4\nxo2Y+4l/zNRxHwww0eJirYn+fgzuGZJOVJFOk3MOcA6W8wecA2CZf7Mch8w4L/6366Q9sPmfrgOm\nIMGCIAhiunPqQw/W9Pp1996PSDBY9vlYMomOU09DW1tb0XN2Oo0DD96P0aeeBDhH9wfPRc/5F4Kp\n02OdOmtW8WdyaflPEFq0COFgV7PNKA05bIIgiJaD+/2YfeXViBx/Ivbd8zMM/+mPiG1YL1fdixY3\n2zxPUPa4FyhkShAE0bKEjno7Fn/5K+g440zou3ai/6v/jqE/PjStBVhafqXd0mgaoOvNtoIgCOKg\nY3RsDHoqVfb5RDoNJRar6lihiy5B+PgTMbjyFxh66L8RW78Ocz/xSfgXLGiUuVMGOW0vTOPZGkEQ\nRCtjQsCokJKr+X0w16/DWBURz0Q6hXnvPQuLb/8K9t/3G4yveg79d9yGngsvQtcHPihznaYJ5LS9\nYNvNtoAgCOKgpLejs2IiWj0ooTDmfuKTiJywHAMrf4EDDz6A2LqXMPcT/wjf3OnRann6TC8IgiAI\nogFEjjseS/79TrSd/E6ktm3Fjttvxcjjf5bCWS0OOW2CIAhixqFEIpj3//wz5v2vfwH3B7D/v36L\nXf/xdeiDg802rSLktL1A2eMEQRDTmrblJ2Hxv38VkeNPRHLLZuy4/RaMPv1ky666yWl7obV1aQiC\nIIgqUNvbMe9/fwpzP/lPYIqKwV/fi93/+S0YQ0PNNq0IctoEQRDEjIcxhvZ3vgtL/v0rCC87FonX\nNmHHbTdh7G/P1NUYZ7Igp+0FRWm2BQRBEEQDUTu7MP9f/1/MufY6gDEM/PIX2PPd/4QxMtJs0wCQ\n0/YGyZgSBEEcdDDG0HHa6Vh8+1cQevs7EH95I3bcdhPGn3+u6atuctpemEYF+QRBEERtaN09WPCZ\nz2P21R+HsCzs+9lPsOfu78IcG2uaTSSu4gXKHicIgjioYYyh88z3IPz2o7HvFz9FfP06vPXmFsz5\n2DVoO+nkKbeHlopeoPA4QRDEjECbNQt9n/8iZl3+MQhdx94ffR97fvh9WNHolNpBK20vMEZlXwRB\nEDMExjm6zjob4WOOwb6f/xSxv69B8o3XMeeaaxE5/oQpsYFW2l6g8DhBEMSMwzdnLhZ+8Ub0XvpR\n2MkE9tz9Xez92Y9hxeOTfm5aaXuhRRVzCIIgiMmFcY7uD3wQ4WOWYd/Pf4ro86uQeG0T5n78Ewgf\ns2zSzksrbYIgCIKoE//8BVj0pZvR8+GLYUWj2P3/fwf77vk5rGRyUs5HTpsgCIIgPMAUBT3nXYDF\nN38Z/oWLMP7sX7HjtpuReG1Tw89FTpsgCIIgGoB/4UIsuulWdJ9/IczREez69jcx8KuVsFOphp2D\nnDZBEARBNAimqui98CIsuvFW+OYvwNhfnsKO229BYvMbDTk+OW2CIAiCaDCBJUuw6JYvo+ucD8E4\ncAC7/uPrGLzvN7B13dNxyWkTBEEQxCTANQ2zLrkMC2+4CdrsORh94jHsuP1WJLe+Wf8xG2gfQRAE\nQRAFBJe+DYtvvR2dZ38AxuAAdn79q9j/u/thG7WvuslpEwRBEMQkw/1+zP7oFei7/gZovb0YefQR\n9N/xZaT6d9R2nEmyjyAIgiCIAkKHH4F5/+tfwAMB6Hv2YN/PflLT+0kRjSAIgiCmAH1wEMN/fAjj\nL6wChIB/4SLMuvzKmo5BTpsgCIIgJhHjwH4MPfxHjK96FrBt+Bb0oeeCDyNy/AlgvLaANzltgiAI\ngpgEjOEhDP/pYYw9+1fAsuCbO0866+Un1eysXchpe4FacxIEQRAFmKMjGH7kYYz99RkI04Q2Zw56\nzr8QbSevqNtZu5DT9gLngGU12wqCIAiiBTDHxjD86CMY+8tTEIYBrXcWus+/AO0rTgFTlIacg5y2\nB3hXF+wDB5ptBkEQBNFErGgUw48+gtGnn4TQdajdPeg57wK0n3IqmNpYN0tO2wOhtx2GGDltgiCI\nGYkVi2HksUcx8uQTEOkU1K4udF96OdpPOx1c0yblnOS0PaDv3tVsEwiCIIgpxkrEMfL4Yxh94jHY\nySSUjg50X/QRdJx5Jrjmm9RzT7nTFkLgy1/+Mt544w34fD589atfxcKFC6fajIZgp9LNNoEgCIKY\nIqxkEqNPPo6Rxx6FnUhAaWvDrMsuR8eZ7wH3+6fEhil32k888QR0Xcd9992HDRs24Gtf+xq+//3v\nT7UZDcGKx5ptAkEQBDHJ2KkURp9+EsOPPgI7HgcPh9H7kUvR+d6zpsxZu0y5037xxRdx+umnAwCO\nPfZYvPLKK1NtQsMQVO5FEARx0GKn0xj9y1MYefQRWNEoeCiEng9fjM73nQ0lGGyKTVPutGOxGNra\n2rIGqCps2wb3WLvWDJiigNw2QRDEwYVt6Bh75hkM/5+HYY2NgQeD6D7/QnSd/X4ooXBTbZtypx2J\nRBCPxzP/X43DnjWrreLzzWIrY6AqbYIgiMZz/NWXNfX8c664GLji4qbaUIopd9onnHACnn76aZxz\nzjlYv349Dj/88Kk2oWGs+NU9zTaBIAiCmEEwMcUbs7nZ4wDwta99DYcccshUmkAQBEEQ05Ipd9oE\nQRAEQdTH9Mv+IgiCIIgZCjltgiAIgpgmkNMmCIIgiGlCyzhtIQRuu+02XH755bjmmmuwc+fOvOfv\nuecenHfeebjmmmtwzTXX4K233mqOoQA2bNiAq6++uujxp556Cpdccgkuv/xyPPDAA02wLEs5G1th\nHE3TxBe+8AV87GMfw2WXXYannnoq7/lWGMeJbGyFcbRtGzfeeCOuuOIKfOxjH8Obb76Z93wrjONE\nNrbCOLoMDQ3h3e9+N7Zv3573eCuMo0s5G1tlHC+++OKMDTfeeGPec600jtMa0SI89thj4oYbbhBC\nCLF+/Xrxz//8z3nPf/7znxevvvpqM0zL4yc/+Yk477zzxEc/+tG8xw3DEGeffbaIRqNC13XxkY98\nRAwNDbWUjUK0xjg++OCD4s477xRCCDE6Oire/e53Z55rlXGsZKMQrTGOjz/+uLjxxhuFEEKsXr06\n7zfTKuNYyUYhWmMchZDj9S//8i/iAx/4gNi2bVve460wjpVsFKI1xjGdTouLLrqo5HOtNI7TnZZZ\naU8kb/rqq6/iRz/6Ea688kr8+Mc/boaJAIDFixfj7rvvLnp869atWLx4MSKRCDRNw4knnoi1a9c2\nwcLyNgKtMY4f/OAH8elPfxqAXImpOf1mW2UcK9kItMY4nnXWWbjjjjsAALt370ZHR0fmuVYZx0o2\nAq0xjgDwjW98A1dccQVmz56d93irjGMlG4HWGMfXX38diUQC1113Ha699lps2LAh81wrjeN0p2Wc\ndjl5U5dzzz0Xt99+O1auXIkXX3wRzzzzTDPMxNlnnw1FUYoeL7Q/HA4jGo1OpWkZytkItMY4BoNB\nhEIhxGIxfPrTn8ZnPvOZzHOtMo6VbARaYxwBgHOOG264AV/96ldx/vnnZx5vlXEEytsItMY4/v73\nv0dPTw9OPfXUon4CrTKOlWwEWmMcA4EArrvuOvzsZz/Dl7/8ZXz+85/P3MNbZRwPBlrGaU8kb/rx\nj38cnZ2dUFUVZ555JjZt2tQMM8sSiUQQi2W7fsXjcbS3tzfRotK0yjju3bsXH//4x3HRRRfhQx/6\nUObxVhrHcjYCrTOOAPD1r38df/7zn3HzzTcjlUoBaK1xBErbCLTGOP7+97/Hc889h6uvvhqvv/46\nvvjFL2JoaAhA64xjJRuB1hjHJUuW4IILLsj8u7OzE/v37wfQOuN4MNAyTvuEE07IzA4L5U1jsRjO\nO+88JJNJCCHwwgsv4B3veEezTAVQ3OFr6dKl2LFjB8bHx6HrOtauXYvjjjuuSdZJSq0aWmEcDxw4\ngOuuuw7XX389LrroorznWmUcK9nYKuP40EMPZUKhfr8fnPPMRLdVxrGSja0yjr/61a9w77334t57\n78WRRx6Jb3zjG+jp6QHQOuNYycZWGccHH3wQX//61wEAAwMDiMfjmDVrFoDWGceDgSnXHi/H2Wef\njeeeew6XX345AClv+vDDDyOZTOLSSy/FZz/7WVx99dXw+/1417vehTPOOKOp9jLGACDPxi996Uv4\nxCc+ASEELr300pJ7T822sRXG8Uc/+hHGx8fx/e9/H3fffTcYY7jssstaahwnsrEVxvH9738/vvSl\nL+Gqq66CaZq48cYb8dhjj7XUOE5kYyuMYy70u66fSy65BF/60pdw5ZVXgnOOO++8E4888kjLjuN0\nhWRMCYIgCGKa0DLhcYIgCIIgKkNOmyAIgiCmCeS0CYIgCGKaQE6bIAiCIKYJ5LQJgiAIYppATpsg\nCIIgpgnktAmiAq+88gpuueWWmt5z5JFHTpI1ku9973v43ve+V/E1d911F1588UUAwM0334xXX311\nUm0iCGJqaBlxFYJoRY4++mgcffTRNb3HFb9oJmvWrMGKFSsAAF/5yleabA1BEI2CnDZx0LNmzRrc\nddddUFUVe/fuxbHHHos77rgDjzzyCFauXAkhBN7xjnfg1ltvhc/nw4oVK3D00UdjaGgI119/PX7w\ngx/g3nvvxfbt23HrrbdibGwMoVAIN910E4455hjs3r0b119/PZLJJJYtWzahPbFYDDfddBMGBgYw\nODiIk046Cd/4xjewZs0a/OhHP0IgEMDWrVtxxBFH4Nvf/jZUVcVPf/pTPPDAA+jq6kJ7e3vF8/zh\nD3/AK6+8gptvvhl33XUX7rjjDvzbv/0bhBD44Q9/CCEEdu7cife///1oa2vDE088AQD4yU9+gu7u\nbvztb3/Dd7/7XViWhb6+Ptxxxx1F3bkIgmgSU9wKlCCmnNWrV4tjjz1WvPXWW0IIIT796U+LH/zg\nB+LKK68U6XRaCCHEt7/9bfGDH/xACCHEEUccIdauXZt579VXXy2EEOKSSy4Rjz/+uBBC9nx/z3ve\nI3RdF//0T/8kfve73wkhhPjDH/4gjjzyyIr2PPzww+KHP/yhEEIIXdfF2WefLV599VWxevVqcfzx\nx4uBgQFh27a45JJLxNNPPy1efvll8aEPfUgkk0mRSCTE+eefL+66666K57jqqqsyn+Gqq64Sa9as\nEatXrxYnnnii2Ldvn0gmk+K4444T999/vxBCiBtuuEGsXLlSDA0NiQsvvFCMj48LIYS47777xE03\n3VTDaBMEMZnQSpuYESxfvhyLFy8GAFxwwQX413/9V3R1deGyyy4DAJimmddkoXAlm0gk0N/fj7PO\nOguA7Pne2dmJbdu2YfXq1fjOd76TOfbNN99c0ZZzzz0XGzduxC9/+Uts3boVY2NjSCQSAIDDDz88\no8m8dOlSjI6OYtu2bTjjjDMQCAQAAOecc05e29pyiBIKxYcddhjmzJkDAOjq6sqE0BcsWPB/27t7\nl0aCOIzj35VVEVOkUBCElKKFCLHS4B8glhZuIZvO2kpBhaQSEivBWAiCaGcjaQRfilQpBCFYCTYW\ngigiiIIY3JkrDnMXjRfkfLk9n0+3YXd+O7Dw5McMDDc3NxwdHXF+fo7v+1hrMcYQjUbr1hKRz6HQ\nlm/BdX996sYYjDEMDw8zOzsLwP39PUEQAD/XpJuamqqeN8a8CEFjDEEQ0NDQUAlRx3GqjpStZWNj\ng93dXTzPI5FIcHJyUhn797pPa+OO41SFtOu6lMvlN83/SWNjY9X183PXgyCgv7+f5eVlAMrlctWR\nuSLytbR7XL6Fw8NDLi8vMcaQz+eZmZlhf3+f6+trrLWkUinW1taA2h1qJBIhFotV1n9LpRJXV1d0\ndXUxODhIPp8HYGdnp26gFotFPM9jZGQEay3Hx8eVPwy1DAwMUCgUuLu74+Hhgb29vbrzdV2Xx8fH\nuvc919fXR6lU4vT0FIBcLkc2m33zOCLyMdRpy7fQ3t7O9PQ0FxcXJBIJxsfHaWlpIZlMYq2lp6eH\niYkJ4PXd39lsllQqxeLiIs3NzeRyOVzXZW5ujqmpKTY3N+nt7SUSifzxXZLJJOl0mtXVVVpbW4nH\n45ydnRGLxWre393dje/7jI6OEo1G6ezsrDvfoaEh0uk0mUzm1fnU+r2trY35+XkmJycxxtDR0cHC\nwkLdeiLyOXQ0p/z3Dg4OWFpaYn19/atfRUTkr6jTFvkA29vbrKysVHWz1locx2Fra+tdavi+z+3t\n7YvxPc9jbGzsXWqIyL9FnbaIiEhIaCOaiIhISCi0RUREQkKhLSIiEhIKbRERkZBQaIuIiISEQltE\nRCQkfgBXD0VyM+0utQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x122ac7e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"darkgrid\", color_codes=True)\n",
    "\n",
    "g = sns.jointplot(\"period_and_time\", \"TOUCH_TIME\", data=shots_ds, kind=\"reg\",\n",
    "                  xlim=(.5, 5), ylim=(0, 24), color=\"r\", size=7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ynslic5nFhyU9ThdnpomIqKnsm0w3bWaavaaJGmksk6moXhooLkBkzTQRETWTvZPppsxM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\na8gcvqvq+2nhCKTZGIA9654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CUmwaWkcQcDgaNya2xyMiogazTjJt8q5KmmHg2dk5vL4z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\nAMAgYhoAAAAwiJgGAAAADPoNJ8Tfje2mMg8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12529aa50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (307408549)>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(shots_ds, aes(x='SHOT_DIST', color='SHOT_RESULT', group='SHOT_RESULT')) + \\\n",
    "  geom_density() +\\\n",
    "  xlab(\"Shot Distance\") + ylab(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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XzxhF1/F/Bw7if1sO4oZpVfjugvm4vmYaLp1WjcsqyvH5WXX4z0ULMKAo+ML2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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x124c92650>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (307408477)>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(shots_ds, aes(x='period_and_time', color='SHOT_RESULT', group='SHOT_RESULT')) + \\\n",
    "  geom_density() +\\\n",
    "  xlab(\"Shot Distance\") + ylab(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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L5dKyZcuUk5Mjh8Oh/v37KzY2tub5jRs36osvvlBQUJASExOVkZEhSZoxY4aCg4MlSTEx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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x122197b50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (304185497)>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(shots_ds, aes(x='period_and_time', y='CLOSE_DEF_DIST')) + \\\n",
    "  geom_density() +\\\n",
    "  xlab(\"Period and time\") + ylab(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Pj0dLSwt6e3slTEVERMPFAq5iX375JS666KKgzrFkyRL885//RHd3t0SpiEhp1dXVQc2A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\nooADAAAAbkQBBwAAANyIAg4AAAC40f8Bc1oURrHwje4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1253ac1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (307478241)>"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(shots_ds, aes(x='SHOT_DIST', y='PTS')) + \\\n",
    "  geom_density()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion\n",
    "\n",
    "NBA teams should stop shooting free throw range shots.  As is visible on the graph above, either shoot close shots or threes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [nanodegree]",
   "language": "python",
   "name": "Python [nanodegree]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}