7_result_data_luther.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Project Luther\n",
    "\n",
    "Kenny Leung - kenleung11@gmail.com\n",
    "\n",
    "Part 7/8 - Combining and cleaning data obtained\n",
    "\n",
    "This notebook documents the process of combining and cleaning the data scraped previously and obtaining a final dataset to be used in the regression model. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.style as style\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# read in all the csv files and create dataframes with pandas\n",
    "college_df = pd.read_csv('college_data.csv',index_col=0)\n",
    "draft_df = pd.read_csv('draft_data.csv',index_col=0)\n",
    "player_df = pd.read_csv('player_raw.csv',index_col=0)\n",
    "rookie_df = pd.read_csv('rookie_raw.csv', index_col=0)\n",
    "rookie_advanced_df = pd.read_csv('rookie_advanced_raw.csv', index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# filter out draft data before 2003 since college data is only available from 2003, remove other columns\n",
    "draft_df = draft_df[draft_df['Draft_Yr'] > 2002]\n",
    "draft_df = draft_df.loc[:,['Player','College','BPM']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# merge dataframes on Player\n",
    "result_df = player_df.merge(college_df, on='Player', how='left')\n",
    "result_df = result_df.merge(draft_df, on='Player', how='left')\n",
    "result_df = result_df.merge(rookie_df, on='Player', how='left')\n",
    "result = result_df.merge(rookie_advanced_df, on='Player', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Player', 'Birthday', 'Height_ft', 'Height_in', 'Weight', 'Yrs', 'GP',\n",
       "       'MPG', 'FGM', 'FGA_x', 'FG_Perc', '3PM', '3PA_x', '3P_Perc', 'FTM',\n",
       "       'FTA_x', 'FT_Perc', 'TOV_x', 'PF_x', 'ORB_x', 'DRB_x', 'RPG', 'APG',\n",
       "       'SPG', 'BPG', 'PPG', 'College', 'BPM_x', 'Season_x', 'Age_x', 'Tm_x',\n",
       "       'Lg_x', 'Pos_x', 'G_x', 'GS', 'MP_x', 'FG', 'FGA_y', 'FG%', '3P',\n",
       "       '3PA_y', '3P%', '2P', '2PA', '2P%', 'eFG%', 'FT', 'FTA_y', 'FT%',\n",
       "       'ORB_y', 'DRB_y', 'TRB', 'AST', 'STL', 'BLK', 'TOV_y', 'PF_y', 'PTS',\n",
       "       'Season_y', 'Age_y', 'Tm_y', 'Lg_y', 'Pos_y', 'G_y', 'MP_y', 'PER',\n",
       "       'TS%', '3PAr', 'FTr', 'ORB%', 'DRB%', 'TRB%', 'AST%', 'STL%', 'BLK%',\n",
       "       'TOV%', 'USG%', 'OWS', 'DWS', 'WS', 'WS/48', 'OBPM', 'DBPM', 'BPM_y',\n",
       "       'VORP'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(226, 85)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# drafted players who did not play college\n",
    "no_college = result[np.isnan(result['Yrs'])]\n",
    "no_college.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(96, 85)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# drafted players who did not play in the NBA\n",
    "no_nba = result[np.isnan(result['G_y'])]\n",
    "no_nba.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "result = result[np.isfinite(result['Yrs'])]\n",
    "result = result[np.isfinite(result['G_y'])]\n",
    "result = result[np.isfinite(result['PTS'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(559, 85)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rookie Year PTS mean:  5.499105545617175\n",
      "Rookie Year PTS std:  3.983930434568123\n",
      "Rookie Year PTS max:  Blake Griffin 22.5\n",
      "Rookie Year PTS min:  JamesOn Curry 0.0\n"
     ]
    }
   ],
   "source": [
    "print('Rookie Year PTS mean: ',result['PTS'].mean())\n",
    "print('Rookie Year PTS std: ',result['PTS'].std())\n",
    "print('Rookie Year PTS max: ',result.loc[result['PTS'].idxmax(axis=1)]['Player'],result['PTS'].max())\n",
    "print('Rookie Year PTS min: ',result.loc[result['PTS'].idxmin(axis=1)]['Player'],result['PTS'].min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10ca96470>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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79yI2NhYBAQGCdhcXFyxevNhofZVKhRUrVsDFxQU+Pj6G9vT0dPTs2ROjRo0S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\nUY0BLRERERFFtf8P3ByDVs8YefQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1174c4f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "style.use('fivethirtyeight')\n",
    "\n",
    "plt.figure(figsize=(10,6))\n",
    "plt.tick_params(axis = 'both', which = 'major', labelsize = 18)\n",
    "\n",
    "sns.distplot(result['PTS'], bins=60)\n",
    "plt.title('Distribution of rookie year PPGs in the NBA\\n')\n",
    "plt.xlabel('PPG')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating dummy variables for the College column\n",
    "\n",
    "There are certain colleges in NCAA basketball that produce a larger majority of good NBA players. Here, I grouped the drafted players by their college teams and looked at the top 10 colleges that contributed to the highest rookie year BPM. However, I only looked at colleges that produced more than 5 drafted NBA players in my timeframe. I then created a new college column, and changed the college value to \"Bad\" if the player did not attend one of the top 10 colleges. I then used this column to get dummy variables using pandas get_dummies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Player', 'Birthday', 'Height_ft', 'Height_in', 'Weight', 'Yrs', 'GP',\n",
       "       'MPG', 'FGM', 'FGA_x', 'FG_Perc', '3PM', '3PA_x', '3P_Perc', 'FTM',\n",
       "       'FTA_x', 'FT_Perc', 'TOV_x', 'PF_x', 'ORB_x', 'DRB_x', 'RPG', 'APG',\n",
       "       'SPG', 'BPG', 'PPG', 'College', 'BPM_x', 'Season_x', 'Age_x', 'Tm_x',\n",
       "       'Lg_x', 'Pos_x', 'G_x', 'GS', 'MP_x', 'FG', 'FGA_y', 'FG%', '3P',\n",
       "       '3PA_y', '3P%', '2P', '2PA', '2P%', 'eFG%', 'FT', 'FTA_y', 'FT%',\n",
       "       'ORB_y', 'DRB_y', 'TRB', 'AST', 'STL', 'BLK', 'TOV_y', 'PF_y', 'PTS',\n",
       "       'Season_y', 'Age_y', 'Tm_y', 'Lg_y', 'Pos_y', 'G_y', 'MP_y', 'PER',\n",
       "       'TS%', '3PAr', 'FTr', 'ORB%', 'DRB%', 'TRB%', 'AST%', 'STL%', 'BLK%',\n",
       "       'TOV%', 'USG%', 'OWS', 'DWS', 'WS', 'WS/48', 'OBPM', 'DBPM', 'BPM_y',\n",
       "       'VORP'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort by box plus/minus (BPM)\n",
    "sorted_PPG = result.sort_values(['PTS'], ascending=False)\n",
    "sorted_PPG.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "128"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check number of unique colleges\n",
    "sorted_PPG['College'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "College\n",
       "Davidson College                     17.500000\n",
       "Kansas State University              13.900000\n",
       "Rider University                     11.100000\n",
       "Weber State University               10.400000\n",
       "Morehead State University            10.200000\n",
       "Indiana University                    9.500000\n",
       "University of Oklahoma                9.075000\n",
       "Washington State University           8.900000\n",
       "University of Southern California     8.533333\n",
       "St. John's University                 8.200000\n",
       "St. Bonaventure University            7.800000\n",
       "Eastern Washington University         7.600000\n",
       "Wake Forest University                7.480000\n",
       "Ohio State University                 7.412500\n",
       "Seton Hall University                 7.400000\n",
       "University of Kentucky                7.389286\n",
       "DePaul University                     7.300000\n",
       "South Dakota State University         7.200000\n",
       "University of Memphis                 7.077778\n",
       "Georgia Institute of Technology       6.900000\n",
       "Name: PTS, dtype: float64"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# average rookie year BPM grouped by College\n",
    "sorted_PPG.groupby(['College']).mean()['PTS'].sort_values(ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# create a dictionary with college and the count of how many NBA drafts they produced\n",
    "college_count = dict(sorted_PPG.groupby(['College']).count()['PTS'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def CollegeCountAbove5(college):\n",
    "    '''\n",
    "    Function to be used to create new column to filter out colleges that did not produce more than 5\n",
    "    drafted players in the NBA\n",
    "    '''\n",
    "    try:\n",
    "        if college_count[college] > 5:\n",
    "            return 'Y'\n",
    "        else:\n",
    "            return 'N'\n",
    "    except:\n",
    "        return 'null'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "result.drop(result.index[528], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# create a new column to see whether that player went to a college that produced more than 5 NBA drafts\n",
    "result['College_above_5'] = result['College'].apply(CollegeCountAbove5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "College\n",
       "Indiana University                            9.500000\n",
       "University of Southern California             8.533333\n",
       "Ohio State University                         7.412500\n",
       "University of Kentucky                        7.296296\n",
       "University of Memphis                         7.077778\n",
       "Georgia Institute of Technology               6.900000\n",
       "Duke University                               6.620000\n",
       "Syracuse University                           6.600000\n",
       "Louisiana State University                    6.577778\n",
       "Stanford University                           6.557143\n",
       "University of Connecticut                     6.535000\n",
       "University of Kansas                          6.457895\n",
       "University of Texas at Austin                 6.435714\n",
       "University of North Carolina                  6.222222\n",
       "University of Michigan                        6.183333\n",
       "University of Washington                      6.166667\n",
       "Georgetown University                         6.066667\n",
       "University of Florida                         5.892308\n",
       "University of California, Los Angeles         5.684211\n",
       "University of Illinois at Urbana-Champaign    5.400000\n",
       "Name: PTS, dtype: float64"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# top colleges and their average rookie BPMs\n",
    "result[result['College_above_5'] == 'Y'].groupby(['College']).mean()['PTS'].sort_values(ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# find top colleges based on drafted players BPM\n",
    "top_colleges = list(result[result['College_above_5'] == 'Y'].groupby(['College']).mean()['PTS'].sort_values(ascending=False).head(10).index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Indiana University',\n",
       " 'University of Southern California',\n",
       " 'Ohio State University',\n",
       " 'University of Kentucky',\n",
       " 'University of Memphis',\n",
       " 'Georgia Institute of Technology',\n",
       " 'Duke University',\n",
       " 'Syracuse University',\n",
       " 'Louisiana State University',\n",
       " 'Stanford University']"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_colleges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def TopCollege(x):\n",
    "    '''\n",
    "    Function to categorize all colleges outside of the top 10 colleges as \"bad\"\n",
    "    '''\n",
    "    try:\n",
    "        if x in top_colleges:\n",
    "            return x\n",
    "        else:\n",
    "            return 'Bad'\n",
    "    except:\n",
    "        return 'null'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# create new column, shows college if it is in top college, bad otherwise\n",
    "result['College_adj'] = result['College'].apply(TopCollege)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# create new dataframe of dummy variables, 1 if attended top college, 0 otherwise\n",
    "dummies = pd.get_dummies(result['College_adj'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# glue dummy and result dataframe\n",
    "result = pd.concat([result, dummies], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Player',\n",
       " 'Birthday',\n",
       " 'Height_ft',\n",
       " 'Height_in',\n",
       " 'Weight',\n",
       " 'Yrs',\n",
       " 'GP',\n",
       " 'MPG',\n",
       " 'FGM',\n",
       " 'FGA_x',\n",
       " 'FG_Perc',\n",
       " '3PM',\n",
       " '3PA_x',\n",
       " '3P_Perc',\n",
       " 'FTM',\n",
       " 'FTA_x',\n",
       " 'FT_Perc',\n",
       " 'TOV_x',\n",
       " 'PF_x',\n",
       " 'ORB_x',\n",
       " 'DRB_x',\n",
       " 'RPG',\n",
       " 'APG',\n",
       " 'SPG',\n",
       " 'BPG',\n",
       " 'PPG',\n",
       " 'College',\n",
       " 'BPM_x',\n",
       " 'Season_x',\n",
       " 'Age_x',\n",
       " 'Tm_x',\n",
       " 'Lg_x',\n",
       " 'Pos_x',\n",
       " 'G_x',\n",
       " 'GS',\n",
       " 'MP_x',\n",
       " 'FG',\n",
       " 'FGA_y',\n",
       " 'FG%',\n",
       " '3P',\n",
       " '3PA_y',\n",
       " '3P%',\n",
       " '2P',\n",
       " '2PA',\n",
       " '2P%',\n",
       " 'eFG%',\n",
       " 'FT',\n",
       " 'FTA_y',\n",
       " 'FT%',\n",
       " 'ORB_y',\n",
       " 'DRB_y',\n",
       " 'TRB',\n",
       " 'AST',\n",
       " 'STL',\n",
       " 'BLK',\n",
       " 'TOV_y',\n",
       " 'PF_y',\n",
       " 'PTS',\n",
       " 'Season_y',\n",
       " 'Age_y',\n",
       " 'Tm_y',\n",
       " 'Lg_y',\n",
       " 'Pos_y',\n",
       " 'G_y',\n",
       " 'MP_y',\n",
       " 'PER',\n",
       " 'TS%',\n",
       " '3PAr',\n",
       " 'FTr',\n",
       " 'ORB%',\n",
       " 'DRB%',\n",
       " 'TRB%',\n",
       " 'AST%',\n",
       " 'STL%',\n",
       " 'BLK%',\n",
       " 'TOV%',\n",
       " 'USG%',\n",
       " 'OWS',\n",
       " 'DWS',\n",
       " 'WS',\n",
       " 'WS/48',\n",
       " 'OBPM',\n",
       " 'DBPM',\n",
       " 'BPM_y',\n",
       " 'VORP',\n",
       " 'College_above_5',\n",
       " 'College_adj',\n",
       " 'Bad',\n",
       " 'Duke University',\n",
       " 'Georgia Institute of Technology',\n",
       " 'Indiana University',\n",
       " 'Louisiana State University',\n",
       " 'Ohio State University',\n",
       " 'Stanford University',\n",
       " 'Syracuse University',\n",
       " 'University of Kentucky',\n",
       " 'University of Memphis',\n",
       " 'University of Southern California']"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(result.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# create new column for total height in inches\n",
    "result['Total_Height_in'] = result['Height_ft'] * 12 + result['Height_in']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# a college player typically plays for a max 4 years in college, the datafram shows a few players who played\n",
    "# more than 4 years. This is because the college stats dataframe was grouped by name and averaged and these players\n",
    "# share the same name\n",
    "result[result['Yrs'] > 4];"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# define a function max4 that changes the years in college to max 4\n",
    "def max4(yrs):\n",
    "    '''\n",
    "    Function that limits the maximum years played in college to 4\n",
    "    '''\n",
    "    if yrs > 4:\n",
    "        return 4\n",
    "    else:\n",
    "        return yrs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# apply max4 function\n",
    "result['Yrs'] = result['Yrs'].apply(max4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# create new column for rookie draft year\n",
    "result['Draft_Yr'] = result['Season_x'].apply(lambda x:x[:4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# create a column of draft year and draft team to be used as a key to merge team BPM csv file\n",
    "result['Yr_Tm'] = result[\"Draft_Yr\"].map(str) + result[\"Tm_x\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# read team PPG file\n",
    "PPGs = pd.read_csv('team_ppg.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# merge dataframes\n",
    "result = pd.merge(result,PPGs,on=['Yr_Tm'],how='right')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "list(result.columns);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "result = result[np.isfinite(result['Weight'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I scraped 13162 college player stats.\n",
      "There have been 798 players drafted into the NBA since 2003.\n",
      "Of those 798 drafted players, 96 did not play in the NBA.\n",
      "Of the 798 drafted players, 226 did not play in the NCAA.\n",
      "Filtering out these players, the resulting data set has 519 players, and 113 features.\n"
     ]
    }
   ],
   "source": [
    "print('I scraped',college_df.shape[0],'college player stats.')\n",
    "print('There have been',player_df.shape[0], 'players drafted into the NBA since 2003.')\n",
    "print('Of those',player_df.shape[0], 'drafted players,',no_nba.shape[0],'did not play in the NBA.')\n",
    "print('Of the',player_df.shape[0], 'drafted players,',no_college.shape[0],'did not play in the NCAA.')\n",
    "print('Filtering out these players, the resulting data set has',result.shape[0],'players, and',result.shape[1],'features.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# save result dataframe as csv\n",
    "result.to_csv('result_data_2.0.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Player</th>\n",
       "      <th>Birthday</th>\n",
       "      <th>Height_ft</th>\n",
       "      <th>Height_in</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Yrs</th>\n",
       "      <th>GP</th>\n",
       "      <th>MPG</th>\n",
       "      <th>FGM</th>\n",
       "      <th>FGA_x</th>\n",
       "      <th>...</th>\n",
       "      <th>PPG_top3</th>\n",
       "      <th>PPG_top5</th>\n",
       "      <th>PPG_top7</th>\n",
       "      <th>PPG_top13</th>\n",
       "      <th>top3/top5</th>\n",
       "      <th>top3/top7</th>\n",
       "      <th>top3/top13</th>\n",
       "      <th>top5/top7</th>\n",
       "      <th>top5/top13</th>\n",
       "      <th>top7/top13</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carmelo Anthony</td>\n",
       "      <td>1984-05-29</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>36.400000</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>17.500000</td>\n",
       "      <td>...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>88.1</td>\n",
       "      <td>109.8</td>\n",
       "      <td>0.694444</td>\n",
       "      <td>0.567537</td>\n",
       "      <td>0.455373</td>\n",
       "      <td>0.817253</td>\n",
       "      <td>0.655738</td>\n",
       "      <td>0.802368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chris Bosh</td>\n",
       "      <td>1984-03-24</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>9.700000</td>\n",
       "      <td>...</td>\n",
       "      <td>54.9</td>\n",
       "      <td>75.2</td>\n",
       "      <td>92.1</td>\n",
       "      <td>121.1</td>\n",
       "      <td>0.730053</td>\n",
       "      <td>0.596091</td>\n",
       "      <td>0.453344</td>\n",
       "      <td>0.816504</td>\n",
       "      <td>0.620974</td>\n",
       "      <td>0.760528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dwyane Wade</td>\n",
       "      <td>1982-01-17</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>32.100000</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>15.200000</td>\n",
       "      <td>...</td>\n",
       "      <td>50.6</td>\n",
       "      <td>70.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>110.8</td>\n",
       "      <td>0.722857</td>\n",
       "      <td>0.588372</td>\n",
       "      <td>0.456679</td>\n",
       "      <td>0.813953</td>\n",
       "      <td>0.631769</td>\n",
       "      <td>0.776173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chris Kaman</td>\n",
       "      <td>1982-04-28</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>...</td>\n",
       "      <td>57.9</td>\n",
       "      <td>75.0</td>\n",
       "      <td>89.6</td>\n",
       "      <td>120.3</td>\n",
       "      <td>0.772000</td>\n",
       "      <td>0.646205</td>\n",
       "      <td>0.481297</td>\n",
       "      <td>0.837054</td>\n",
       "      <td>0.623441</td>\n",
       "      <td>0.744805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Kirk Hinrich</td>\n",
       "      <td>1981-01-02</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>33.500000</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>13.200000</td>\n",
       "      <td>...</td>\n",
       "      <td>45.5</td>\n",
       "      <td>70.8</td>\n",
       "      <td>89.3</td>\n",
       "      <td>131.3</td>\n",
       "      <td>0.642655</td>\n",
       "      <td>0.509518</td>\n",
       "      <td>0.346535</td>\n",
       "      <td>0.792833</td>\n",
       "      <td>0.539223</td>\n",
       "      <td>0.680122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>T.J. Ford</td>\n",
       "      <td>1983-03-24</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>33.600000</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>51.8</td>\n",
       "      <td>76.8</td>\n",
       "      <td>95.7</td>\n",
       "      <td>130.8</td>\n",
       "      <td>0.674479</td>\n",
       "      <td>0.541275</td>\n",
       "      <td>0.396024</td>\n",
       "      <td>0.802508</td>\n",
       "      <td>0.587156</td>\n",
       "      <td>0.731651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Mike Sweetney</td>\n",
       "      <td>1982-10-25</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>14.200000</td>\n",
       "      <td>...</td>\n",
       "      <td>54.7</td>\n",
       "      <td>81.6</td>\n",
       "      <td>100.3</td>\n",
       "      <td>144.2</td>\n",
       "      <td>0.670343</td>\n",
       "      <td>0.545364</td>\n",
       "      <td>0.379334</td>\n",
       "      <td>0.813559</td>\n",
       "      <td>0.565881</td>\n",
       "      <td>0.695562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Jarvis Hayes</td>\n",
       "      <td>1981-08-09</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>32.300000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>13.600000</td>\n",
       "      <td>...</td>\n",
       "      <td>52.3</td>\n",
       "      <td>72.8</td>\n",
       "      <td>91.1</td>\n",
       "      <td>123.3</td>\n",
       "      <td>0.718407</td>\n",
       "      <td>0.574094</td>\n",
       "      <td>0.424169</td>\n",
       "      <td>0.799122</td>\n",
       "      <td>0.590430</td>\n",
       "      <td>0.738848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Steve Blake</td>\n",
       "      <td>1980-02-26</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>32.800000</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>...</td>\n",
       "      <td>52.3</td>\n",
       "      <td>72.8</td>\n",
       "      <td>91.1</td>\n",
       "      <td>123.3</td>\n",
       "      <td>0.718407</td>\n",
       "      <td>0.574094</td>\n",
       "      <td>0.424169</td>\n",
       "      <td>0.799122</td>\n",
       "      <td>0.590430</td>\n",
       "      <td>0.738848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Nick Collison</td>\n",
       "      <td>1980-10-26</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>255.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>32.400000</td>\n",
       "      <td>7.400000</td>\n",
       "      <td>13.300000</td>\n",
       "      <td>...</td>\n",
       "      <td>56.2</td>\n",
       "      <td>77.4</td>\n",
       "      <td>91.9</td>\n",
       "      <td>118.0</td>\n",
       "      <td>0.726098</td>\n",
       "      <td>0.611534</td>\n",
       "      <td>0.476271</td>\n",
       "      <td>0.842220</td>\n",
       "      <td>0.655932</td>\n",
       "      <td>0.778814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Marcus Banks</td>\n",
       "      <td>1981-11-19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>35.600000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>13.600000</td>\n",
       "      <td>...</td>\n",
       "      <td>49.1</td>\n",
       "      <td>72.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>135.9</td>\n",
       "      <td>0.681944</td>\n",
       "      <td>0.527957</td>\n",
       "      <td>0.361295</td>\n",
       "      <td>0.774194</td>\n",
       "      <td>0.529801</td>\n",
       "      <td>0.684327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Brandon Hunter</td>\n",
       "      <td>1980-11-24</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>38.300000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>13.800000</td>\n",
       "      <td>...</td>\n",
       "      <td>49.1</td>\n",
       "      <td>72.0</td>\n",
       "      <td>93.0</td>\n",
       "      <td>135.9</td>\n",
       "      <td>0.681944</td>\n",
       "      <td>0.527957</td>\n",
       "      <td>0.361295</td>\n",
       "      <td>0.774194</td>\n",
       "      <td>0.529801</td>\n",
       "      <td>0.684327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Luke Ridnour</td>\n",
       "      <td>1981-02-13</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>35.400000</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>14.200000</td>\n",
       "      <td>...</td>\n",
       "      <td>53.2</td>\n",
       "      <td>76.0</td>\n",
       "      <td>91.1</td>\n",
       "      <td>116.3</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.583974</td>\n",
       "      <td>0.457438</td>\n",
       "      <td>0.834248</td>\n",
       "      <td>0.653482</td>\n",
       "      <td>0.783319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Reece Gaines</td>\n",
       "      <td>1981-01-07</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>32.200000</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>56.6</td>\n",
       "      <td>78.3</td>\n",
       "      <td>95.3</td>\n",
       "      <td>121.2</td>\n",
       "      <td>0.722861</td>\n",
       "      <td>0.593914</td>\n",
       "      <td>0.466997</td>\n",
       "      <td>0.821616</td>\n",
       "      <td>0.646040</td>\n",
       "      <td>0.786304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Keith Bogans</td>\n",
       "      <td>1980-05-12</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>29.700000</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>11.800000</td>\n",
       "      <td>...</td>\n",
       "      <td>56.6</td>\n",
       "      <td>78.3</td>\n",
       "      <td>95.3</td>\n",
       "      <td>121.2</td>\n",
       "      <td>0.722861</td>\n",
       "      <td>0.593914</td>\n",
       "      <td>0.466997</td>\n",
       "      <td>0.821616</td>\n",
       "      <td>0.646040</td>\n",
       "      <td>0.786304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Troy Bell</td>\n",
       "      <td>1980-11-10</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>38.600000</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>16.400000</td>\n",
       "      <td>...</td>\n",
       "      <td>43.7</td>\n",
       "      <td>65.7</td>\n",
       "      <td>84.5</td>\n",
       "      <td>115.0</td>\n",
       "      <td>0.665145</td>\n",
       "      <td>0.517160</td>\n",
       "      <td>0.380000</td>\n",
       "      <td>0.777515</td>\n",
       "      <td>0.571304</td>\n",
       "      <td>0.734783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Dahntay Jones</td>\n",
       "      <td>1980-12-27</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>30.700000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>12.800000</td>\n",
       "      <td>...</td>\n",
       "      <td>43.7</td>\n",
       "      <td>65.7</td>\n",
       "      <td>84.5</td>\n",
       "      <td>115.0</td>\n",
       "      <td>0.665145</td>\n",
       "      <td>0.517160</td>\n",
       "      <td>0.380000</td>\n",
       "      <td>0.777515</td>\n",
       "      <td>0.571304</td>\n",
       "      <td>0.734783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>David West</td>\n",
       "      <td>1980-08-29</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>36.500000</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>57.7</td>\n",
       "      <td>81.9</td>\n",
       "      <td>98.2</td>\n",
       "      <td>124.7</td>\n",
       "      <td>0.704518</td>\n",
       "      <td>0.587576</td>\n",
       "      <td>0.462711</td>\n",
       "      <td>0.834012</td>\n",
       "      <td>0.656776</td>\n",
       "      <td>0.787490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Brian Cook</td>\n",
       "      <td>1980-12-04</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>31.300000</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>14.100000</td>\n",
       "      <td>...</td>\n",
       "      <td>60.1</td>\n",
       "      <td>81.6</td>\n",
       "      <td>96.1</td>\n",
       "      <td>125.3</td>\n",
       "      <td>0.736520</td>\n",
       "      <td>0.625390</td>\n",
       "      <td>0.479649</td>\n",
       "      <td>0.849116</td>\n",
       "      <td>0.651237</td>\n",
       "      <td>0.766959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Luke Walton</td>\n",
       "      <td>1980-03-28</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>27.600000</td>\n",
       "      <td>3.900000</td>\n",
       "      <td>9.100000</td>\n",
       "      <td>...</td>\n",
       "      <td>60.1</td>\n",
       "      <td>81.6</td>\n",
       "      <td>96.1</td>\n",
       "      <td>125.3</td>\n",
       "      <td>0.736520</td>\n",
       "      <td>0.625390</td>\n",
       "      <td>0.479649</td>\n",
       "      <td>0.849116</td>\n",
       "      <td>0.651237</td>\n",
       "      <td>0.766959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Josh Howard</td>\n",
       "      <td>1980-04-28</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>32.300000</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>13.800000</td>\n",
       "      <td>...</td>\n",
       "      <td>55.2</td>\n",
       "      <td>83.7</td>\n",
       "      <td>100.8</td>\n",
       "      <td>122.8</td>\n",
       "      <td>0.659498</td>\n",
       "      <td>0.547619</td>\n",
       "      <td>0.449511</td>\n",
       "      <td>0.830357</td>\n",
       "      <td>0.681596</td>\n",
       "      <td>0.820847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Jason Kapono</td>\n",
       "      <td>1981-02-04</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>33.400000</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>12.900000</td>\n",
       "      <td>...</td>\n",
       "      <td>51.7</td>\n",
       "      <td>78.7</td>\n",
       "      <td>97.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>0.656925</td>\n",
       "      <td>0.532990</td>\n",
       "      <td>0.388722</td>\n",
       "      <td>0.811340</td>\n",
       "      <td>0.591729</td>\n",
       "      <td>0.729323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Travis Hansen</td>\n",
       "      <td>1978-04-15</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>32.100000</td>\n",
       "      <td>5.300000</td>\n",
       "      <td>11.900000</td>\n",
       "      <td>...</td>\n",
       "      <td>58.2</td>\n",
       "      <td>89.7</td>\n",
       "      <td>111.2</td>\n",
       "      <td>154.2</td>\n",
       "      <td>0.648829</td>\n",
       "      <td>0.523381</td>\n",
       "      <td>0.377432</td>\n",
       "      <td>0.806655</td>\n",
       "      <td>0.581712</td>\n",
       "      <td>0.721141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Derrick Zimmerman</td>\n",
       "      <td>1981-12-02</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>33.100000</td>\n",
       "      <td>3.200000</td>\n",
       "      <td>6.700000</td>\n",
       "      <td>...</td>\n",
       "      <td>57.2</td>\n",
       "      <td>77.4</td>\n",
       "      <td>87.3</td>\n",
       "      <td>107.3</td>\n",
       "      <td>0.739018</td>\n",
       "      <td>0.655212</td>\n",
       "      <td>0.533085</td>\n",
       "      <td>0.886598</td>\n",
       "      <td>0.721342</td>\n",
       "      <td>0.813607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Antoine Wright</td>\n",
       "      <td>1984-02-06</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>32.033333</td>\n",
       "      <td>5.300000</td>\n",
       "      <td>12.933333</td>\n",
       "      <td>...</td>\n",
       "      <td>57.2</td>\n",
       "      <td>77.4</td>\n",
       "      <td>87.3</td>\n",
       "      <td>107.3</td>\n",
       "      <td>0.739018</td>\n",
       "      <td>0.655212</td>\n",
       "      <td>0.533085</td>\n",
       "      <td>0.886598</td>\n",
       "      <td>0.721342</td>\n",
       "      <td>0.813607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Willie Green</td>\n",
       "      <td>1981-07-28</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>30.250000</td>\n",
       "      <td>27.250000</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>9.425000</td>\n",
       "      <td>...</td>\n",
       "      <td>56.6</td>\n",
       "      <td>76.3</td>\n",
       "      <td>93.5</td>\n",
       "      <td>125.5</td>\n",
       "      <td>0.741809</td>\n",
       "      <td>0.605348</td>\n",
       "      <td>0.450996</td>\n",
       "      <td>0.816043</td>\n",
       "      <td>0.607968</td>\n",
       "      <td>0.745020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Kyle Korver</td>\n",
       "      <td>1981-03-17</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>212.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>31.800000</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>11.500000</td>\n",
       "      <td>...</td>\n",
       "      <td>56.6</td>\n",
       "      <td>76.3</td>\n",
       "      <td>93.5</td>\n",
       "      <td>125.5</td>\n",
       "      <td>0.741809</td>\n",
       "      <td>0.605348</td>\n",
       "      <td>0.450996</td>\n",
       "      <td>0.816043</td>\n",
       "      <td>0.607968</td>\n",
       "      <td>0.745020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Matt Bonner</td>\n",
       "      <td>1980-04-05</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>31.400000</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>10.800000</td>\n",
       "      <td>...</td>\n",
       "      <td>51.2</td>\n",
       "      <td>77.9</td>\n",
       "      <td>96.6</td>\n",
       "      <td>124.9</td>\n",
       "      <td>0.657253</td>\n",
       "      <td>0.530021</td>\n",
       "      <td>0.409928</td>\n",
       "      <td>0.806418</td>\n",
       "      <td>0.623699</td>\n",
       "      <td>0.773419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Pape Sow</td>\n",
       "      <td>1981-11-22</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>32.200000</td>\n",
       "      <td>5.700000</td>\n",
       "      <td>11.600000</td>\n",
       "      <td>...</td>\n",
       "      <td>51.2</td>\n",
       "      <td>77.9</td>\n",
       "      <td>96.6</td>\n",
       "      <td>124.9</td>\n",
       "      <td>0.657253</td>\n",
       "      <td>0.530021</td>\n",
       "      <td>0.409928</td>\n",
       "      <td>0.806418</td>\n",
       "      <td>0.623699</td>\n",
       "      <td>0.773419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Mo Williams</td>\n",
       "      <td>1982-12-19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>29.500000</td>\n",
       "      <td>28.700000</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>...</td>\n",
       "      <td>46.2</td>\n",
       "      <td>70.2</td>\n",
       "      <td>88.4</td>\n",
       "      <td>119.6</td>\n",
       "      <td>0.658120</td>\n",
       "      <td>0.522624</td>\n",
       "      <td>0.386288</td>\n",
       "      <td>0.794118</td>\n",
       "      <td>0.586957</td>\n",
       "      <td>0.739130</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>489</th>\n",
       "      <td>Brandon Ingram</td>\n",
       "      <td>1997-09-02</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>34.600000</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>13.400000</td>\n",
       "      <td>...</td>\n",
       "      <td>48.9</td>\n",
       "      <td>75.3</td>\n",
       "      <td>92.4</td>\n",
       "      <td>133.7</td>\n",
       "      <td>0.649402</td>\n",
       "      <td>0.529221</td>\n",
       "      <td>0.365744</td>\n",
       "      <td>0.814935</td>\n",
       "      <td>0.563201</td>\n",
       "      <td>0.691099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>Jaylen Brown</td>\n",
       "      <td>1996-10-24</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>27.600000</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>11.100000</td>\n",
       "      <td>...</td>\n",
       "      <td>59.2</td>\n",
       "      <td>83.7</td>\n",
       "      <td>99.3</td>\n",
       "      <td>126.5</td>\n",
       "      <td>0.707288</td>\n",
       "      <td>0.596173</td>\n",
       "      <td>0.467984</td>\n",
       "      <td>0.842900</td>\n",
       "      <td>0.661660</td>\n",
       "      <td>0.784980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>Demetrius Jackson</td>\n",
       "      <td>1994-09-07</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>201.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>32.500000</td>\n",
       "      <td>30.550000</td>\n",
       "      <td>4.075000</td>\n",
       "      <td>9.250000</td>\n",
       "      <td>...</td>\n",
       "      <td>59.2</td>\n",
       "      <td>83.7</td>\n",
       "      <td>99.3</td>\n",
       "      <td>126.5</td>\n",
       "      <td>0.707288</td>\n",
       "      <td>0.596173</td>\n",
       "      <td>0.467984</td>\n",
       "      <td>0.842900</td>\n",
       "      <td>0.661660</td>\n",
       "      <td>0.784980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>Kris Dunn</td>\n",
       "      <td>1994-03-18</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>33.500000</td>\n",
       "      <td>5.600000</td>\n",
       "      <td>12.150000</td>\n",
       "      <td>...</td>\n",
       "      <td>67.6</td>\n",
       "      <td>88.7</td>\n",
       "      <td>104.8</td>\n",
       "      <td>126.8</td>\n",
       "      <td>0.762120</td>\n",
       "      <td>0.645038</td>\n",
       "      <td>0.533123</td>\n",
       "      <td>0.846374</td>\n",
       "      <td>0.699527</td>\n",
       "      <td>0.826498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>Marquese Chriss</td>\n",
       "      <td>1997-07-02</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>233.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>24.900000</td>\n",
       "      <td>5.300000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>57.6</td>\n",
       "      <td>77.8</td>\n",
       "      <td>94.2</td>\n",
       "      <td>134.3</td>\n",
       "      <td>0.740360</td>\n",
       "      <td>0.611465</td>\n",
       "      <td>0.428891</td>\n",
       "      <td>0.825902</td>\n",
       "      <td>0.579300</td>\n",
       "      <td>0.701415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>Tyler Ulis</td>\n",
       "      <td>1996-01-05</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>30.300000</td>\n",
       "      <td>3.650000</td>\n",
       "      <td>8.550000</td>\n",
       "      <td>...</td>\n",
       "      <td>57.6</td>\n",
       "      <td>77.8</td>\n",
       "      <td>94.2</td>\n",
       "      <td>134.3</td>\n",
       "      <td>0.740360</td>\n",
       "      <td>0.611465</td>\n",
       "      <td>0.428891</td>\n",
       "      <td>0.825902</td>\n",
       "      <td>0.579300</td>\n",
       "      <td>0.701415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>Jakob Poeltl</td>\n",
       "      <td>1995-10-15</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>26.850000</td>\n",
       "      <td>5.050000</td>\n",
       "      <td>7.650000</td>\n",
       "      <td>...</td>\n",
       "      <td>63.9</td>\n",
       "      <td>86.3</td>\n",
       "      <td>104.5</td>\n",
       "      <td>139.7</td>\n",
       "      <td>0.740440</td>\n",
       "      <td>0.611483</td>\n",
       "      <td>0.457409</td>\n",
       "      <td>0.825837</td>\n",
       "      <td>0.617752</td>\n",
       "      <td>0.748031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>Pascal Siakam</td>\n",
       "      <td>1994-02-04</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>32.700000</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>11.750000</td>\n",
       "      <td>...</td>\n",
       "      <td>63.9</td>\n",
       "      <td>86.3</td>\n",
       "      <td>104.5</td>\n",
       "      <td>139.7</td>\n",
       "      <td>0.740440</td>\n",
       "      <td>0.611483</td>\n",
       "      <td>0.457409</td>\n",
       "      <td>0.825837</td>\n",
       "      <td>0.617752</td>\n",
       "      <td>0.748031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>Taurean Prince</td>\n",
       "      <td>1994-03-22</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>33.500000</td>\n",
       "      <td>28.450000</td>\n",
       "      <td>5.300000</td>\n",
       "      <td>11.700000</td>\n",
       "      <td>...</td>\n",
       "      <td>50.5</td>\n",
       "      <td>75.0</td>\n",
       "      <td>94.9</td>\n",
       "      <td>129.6</td>\n",
       "      <td>0.673333</td>\n",
       "      <td>0.532139</td>\n",
       "      <td>0.389660</td>\n",
       "      <td>0.790306</td>\n",
       "      <td>0.578704</td>\n",
       "      <td>0.732253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>DeAndre' Bembry</td>\n",
       "      <td>1994-07-04</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>33.666667</td>\n",
       "      <td>36.133333</td>\n",
       "      <td>5.733333</td>\n",
       "      <td>12.633333</td>\n",
       "      <td>...</td>\n",
       "      <td>50.5</td>\n",
       "      <td>75.0</td>\n",
       "      <td>94.9</td>\n",
       "      <td>129.6</td>\n",
       "      <td>0.673333</td>\n",
       "      <td>0.532139</td>\n",
       "      <td>0.389660</td>\n",
       "      <td>0.790306</td>\n",
       "      <td>0.578704</td>\n",
       "      <td>0.732253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>Denzel Valentine</td>\n",
       "      <td>1993-11-16</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>212.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>29.100000</td>\n",
       "      <td>4.100000</td>\n",
       "      <td>9.225000</td>\n",
       "      <td>...</td>\n",
       "      <td>53.8</td>\n",
       "      <td>74.8</td>\n",
       "      <td>92.8</td>\n",
       "      <td>127.6</td>\n",
       "      <td>0.719251</td>\n",
       "      <td>0.579741</td>\n",
       "      <td>0.421630</td>\n",
       "      <td>0.806034</td>\n",
       "      <td>0.586207</td>\n",
       "      <td>0.727273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>Henry Ellenson</td>\n",
       "      <td>1997-01-13</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>33.500000</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>13.200000</td>\n",
       "      <td>...</td>\n",
       "      <td>44.6</td>\n",
       "      <td>72.0</td>\n",
       "      <td>91.6</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.619444</td>\n",
       "      <td>0.486900</td>\n",
       "      <td>0.371667</td>\n",
       "      <td>0.786026</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.763333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>Michael Gbinije</td>\n",
       "      <td>1992-06-05</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>33.500000</td>\n",
       "      <td>36.450000</td>\n",
       "      <td>5.350000</td>\n",
       "      <td>11.600000</td>\n",
       "      <td>...</td>\n",
       "      <td>44.6</td>\n",
       "      <td>72.0</td>\n",
       "      <td>91.6</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.619444</td>\n",
       "      <td>0.486900</td>\n",
       "      <td>0.371667</td>\n",
       "      <td>0.786026</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.763333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>Malik Beasley</td>\n",
       "      <td>1996-11-26</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>29.800000</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>11.600000</td>\n",
       "      <td>...</td>\n",
       "      <td>50.6</td>\n",
       "      <td>79.2</td>\n",
       "      <td>100.1</td>\n",
       "      <td>147.3</td>\n",
       "      <td>0.638889</td>\n",
       "      <td>0.505495</td>\n",
       "      <td>0.343517</td>\n",
       "      <td>0.791209</td>\n",
       "      <td>0.537678</td>\n",
       "      <td>0.679566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>Caris LeVert</td>\n",
       "      <td>1994-08-25</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>49.2</td>\n",
       "      <td>72.3</td>\n",
       "      <td>89.2</td>\n",
       "      <td>133.4</td>\n",
       "      <td>0.680498</td>\n",
       "      <td>0.551570</td>\n",
       "      <td>0.368816</td>\n",
       "      <td>0.810538</td>\n",
       "      <td>0.541979</td>\n",
       "      <td>0.668666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>Isaiah Whitehead</td>\n",
       "      <td>1995-03-08</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>213.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>32.300000</td>\n",
       "      <td>5.700000</td>\n",
       "      <td>15.100000</td>\n",
       "      <td>...</td>\n",
       "      <td>49.2</td>\n",
       "      <td>72.3</td>\n",
       "      <td>89.2</td>\n",
       "      <td>133.4</td>\n",
       "      <td>0.680498</td>\n",
       "      <td>0.551570</td>\n",
       "      <td>0.368816</td>\n",
       "      <td>0.810538</td>\n",
       "      <td>0.541979</td>\n",
       "      <td>0.668666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>Malachi Richardson</td>\n",
       "      <td>1996-01-05</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>34.400000</td>\n",
       "      <td>4.100000</td>\n",
       "      <td>11.100000</td>\n",
       "      <td>...</td>\n",
       "      <td>61.6</td>\n",
       "      <td>86.4</td>\n",
       "      <td>105.1</td>\n",
       "      <td>152.2</td>\n",
       "      <td>0.712963</td>\n",
       "      <td>0.586108</td>\n",
       "      <td>0.404731</td>\n",
       "      <td>0.822074</td>\n",
       "      <td>0.567674</td>\n",
       "      <td>0.690539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>Skal Labissiere</td>\n",
       "      <td>1996-03-18</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>15.800000</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>5.300000</td>\n",
       "      <td>...</td>\n",
       "      <td>61.6</td>\n",
       "      <td>86.4</td>\n",
       "      <td>105.1</td>\n",
       "      <td>152.2</td>\n",
       "      <td>0.712963</td>\n",
       "      <td>0.586108</td>\n",
       "      <td>0.404731</td>\n",
       "      <td>0.822074</td>\n",
       "      <td>0.567674</td>\n",
       "      <td>0.690539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>Brice Johnson</td>\n",
       "      <td>1994-06-27</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>37.333333</td>\n",
       "      <td>24.033333</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>9.433333</td>\n",
       "      <td>...</td>\n",
       "      <td>54.7</td>\n",
       "      <td>79.7</td>\n",
       "      <td>100.4</td>\n",
       "      <td>127.6</td>\n",
       "      <td>0.686324</td>\n",
       "      <td>0.544821</td>\n",
       "      <td>0.428683</td>\n",
       "      <td>0.793825</td>\n",
       "      <td>0.624608</td>\n",
       "      <td>0.786834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>Diamond Stone</td>\n",
       "      <td>1997-02-10</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>255.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>22.600000</td>\n",
       "      <td>4.800000</td>\n",
       "      <td>8.400000</td>\n",
       "      <td>...</td>\n",
       "      <td>54.7</td>\n",
       "      <td>79.7</td>\n",
       "      <td>100.4</td>\n",
       "      <td>127.6</td>\n",
       "      <td>0.686324</td>\n",
       "      <td>0.544821</td>\n",
       "      <td>0.428683</td>\n",
       "      <td>0.793825</td>\n",
       "      <td>0.624608</td>\n",
       "      <td>0.786834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>Dejounte Murray</td>\n",
       "      <td>1996-09-19</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>33.500000</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>14.300000</td>\n",
       "      <td>...</td>\n",
       "      <td>55.2</td>\n",
       "      <td>74.8</td>\n",
       "      <td>89.6</td>\n",
       "      <td>119.5</td>\n",
       "      <td>0.737968</td>\n",
       "      <td>0.616071</td>\n",
       "      <td>0.461925</td>\n",
       "      <td>0.834821</td>\n",
       "      <td>0.625941</td>\n",
       "      <td>0.749791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>Damian Jones</td>\n",
       "      <td>1995-06-30</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>27.066667</td>\n",
       "      <td>5.133333</td>\n",
       "      <td>9.033333</td>\n",
       "      <td>...</td>\n",
       "      <td>72.7</td>\n",
       "      <td>90.5</td>\n",
       "      <td>103.4</td>\n",
       "      <td>131.7</td>\n",
       "      <td>0.803315</td>\n",
       "      <td>0.703095</td>\n",
       "      <td>0.552012</td>\n",
       "      <td>0.875242</td>\n",
       "      <td>0.687168</td>\n",
       "      <td>0.785118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>Patrick McCaw</td>\n",
       "      <td>1995-10-25</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>32.500000</td>\n",
       "      <td>31.650000</td>\n",
       "      <td>4.200000</td>\n",
       "      <td>9.550000</td>\n",
       "      <td>...</td>\n",
       "      <td>72.7</td>\n",
       "      <td>90.5</td>\n",
       "      <td>103.4</td>\n",
       "      <td>131.7</td>\n",
       "      <td>0.803315</td>\n",
       "      <td>0.703095</td>\n",
       "      <td>0.552012</td>\n",
       "      <td>0.875242</td>\n",
       "      <td>0.687168</td>\n",
       "      <td>0.785118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>Malcolm Brogdon</td>\n",
       "      <td>1992-12-11</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>30.100000</td>\n",
       "      <td>4.275000</td>\n",
       "      <td>10.025000</td>\n",
       "      <td>...</td>\n",
       "      <td>57.7</td>\n",
       "      <td>79.6</td>\n",
       "      <td>97.5</td>\n",
       "      <td>130.8</td>\n",
       "      <td>0.724874</td>\n",
       "      <td>0.591795</td>\n",
       "      <td>0.441131</td>\n",
       "      <td>0.816410</td>\n",
       "      <td>0.608563</td>\n",
       "      <td>0.745413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>Chinanu Onuaku</td>\n",
       "      <td>1996-11-01</td>\n",
       "      <td>6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>24.600000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>...</td>\n",
       "      <td>60.2</td>\n",
       "      <td>86.4</td>\n",
       "      <td>107.8</td>\n",
       "      <td>149.0</td>\n",
       "      <td>0.696759</td>\n",
       "      <td>0.558442</td>\n",
       "      <td>0.404027</td>\n",
       "      <td>0.801484</td>\n",
       "      <td>0.579866</td>\n",
       "      <td>0.723490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>Stephen Zimmerman</td>\n",
       "      <td>1996-09-09</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>240.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.200000</td>\n",
       "      <td>3.900000</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>...</td>\n",
       "      <td>46.9</td>\n",
       "      <td>72.4</td>\n",
       "      <td>94.1</td>\n",
       "      <td>131.0</td>\n",
       "      <td>0.647790</td>\n",
       "      <td>0.498406</td>\n",
       "      <td>0.358015</td>\n",
       "      <td>0.769394</td>\n",
       "      <td>0.552672</td>\n",
       "      <td>0.718321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>Jake Layman</td>\n",
       "      <td>1994-03-07</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>35.250000</td>\n",
       "      <td>28.300000</td>\n",
       "      <td>3.450000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>...</td>\n",
       "      <td>65.2</td>\n",
       "      <td>87.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>135.4</td>\n",
       "      <td>0.749425</td>\n",
       "      <td>0.615094</td>\n",
       "      <td>0.481536</td>\n",
       "      <td>0.820755</td>\n",
       "      <td>0.642541</td>\n",
       "      <td>0.782866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516</th>\n",
       "      <td>Georges Niang</td>\n",
       "      <td>1993-06-17</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>34.500000</td>\n",
       "      <td>29.775000</td>\n",
       "      <td>6.150000</td>\n",
       "      <td>12.300000</td>\n",
       "      <td>...</td>\n",
       "      <td>53.5</td>\n",
       "      <td>75.2</td>\n",
       "      <td>91.8</td>\n",
       "      <td>124.9</td>\n",
       "      <td>0.711436</td>\n",
       "      <td>0.582789</td>\n",
       "      <td>0.428343</td>\n",
       "      <td>0.819172</td>\n",
       "      <td>0.602082</td>\n",
       "      <td>0.734988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>Joel Bolomboy</td>\n",
       "      <td>1994-01-28</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>32.500000</td>\n",
       "      <td>29.150000</td>\n",
       "      <td>3.825000</td>\n",
       "      <td>7.275000</td>\n",
       "      <td>...</td>\n",
       "      <td>52.8</td>\n",
       "      <td>75.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>125.7</td>\n",
       "      <td>0.704000</td>\n",
       "      <td>0.573913</td>\n",
       "      <td>0.420048</td>\n",
       "      <td>0.815217</td>\n",
       "      <td>0.596659</td>\n",
       "      <td>0.731901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>518</th>\n",
       "      <td>Kay Felder</td>\n",
       "      <td>1995-03-29</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>33.666667</td>\n",
       "      <td>35.833333</td>\n",
       "      <td>5.433333</td>\n",
       "      <td>12.800000</td>\n",
       "      <td>...</td>\n",
       "      <td>70.6</td>\n",
       "      <td>90.4</td>\n",
       "      <td>108.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>0.780973</td>\n",
       "      <td>0.653704</td>\n",
       "      <td>0.473826</td>\n",
       "      <td>0.837037</td>\n",
       "      <td>0.606711</td>\n",
       "      <td>0.724832</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>519 rows × 113 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Player    Birthday  Height_ft  Height_in  Weight  Yrs  \\\n",
       "0       Carmelo Anthony  1984-05-29        6.0        8.0   240.0  1.0   \n",
       "1            Chris Bosh  1984-03-24        6.0       11.0   235.0  1.0   \n",
       "2           Dwyane Wade  1982-01-17        6.0        4.0   220.0  1.0   \n",
       "3           Chris Kaman  1982-04-28        7.0        0.0   265.0  1.0   \n",
       "4          Kirk Hinrich  1981-01-02        6.0        4.0   190.0  1.0   \n",
       "5             T.J. Ford  1983-03-24        6.0        0.0   165.0  1.0   \n",
       "6         Mike Sweetney  1982-10-25        6.0        8.0   275.0  1.0   \n",
       "7          Jarvis Hayes  1981-08-09        6.0        7.0   220.0  1.0   \n",
       "8           Steve Blake  1980-02-26        6.0        3.0   172.0  1.0   \n",
       "9         Nick Collison  1980-10-26        6.0       10.0   255.0  1.0   \n",
       "10         Marcus Banks  1981-11-19        6.0        2.0   200.0  1.0   \n",
       "11       Brandon Hunter  1980-11-24        6.0        7.0   260.0  1.0   \n",
       "12         Luke Ridnour  1981-02-13        6.0        2.0   175.0  1.0   \n",
       "13         Reece Gaines  1981-01-07        6.0        6.0   205.0  1.0   \n",
       "14         Keith Bogans  1980-05-12        6.0        5.0   215.0  1.0   \n",
       "15            Troy Bell  1980-11-10        6.0        1.0   180.0  1.0   \n",
       "16        Dahntay Jones  1980-12-27        6.0        6.0   225.0  1.0   \n",
       "17           David West  1980-08-29        6.0        9.0   250.0  1.0   \n",
       "18           Brian Cook  1980-12-04        6.0        9.0   234.0  1.0   \n",
       "19          Luke Walton  1980-03-28        6.0        8.0   235.0  1.0   \n",
       "20          Josh Howard  1980-04-28        6.0        7.0   210.0  1.0   \n",
       "21         Jason Kapono  1981-02-04        6.0        8.0   213.0  1.0   \n",
       "22        Travis Hansen  1978-04-15        6.0        6.0   205.0  1.0   \n",
       "23    Derrick Zimmerman  1981-12-02        6.0        3.0   195.0  1.0   \n",
       "24       Antoine Wright  1984-02-06        6.0        7.0   210.0  3.0   \n",
       "25         Willie Green  1981-07-28        6.0        4.0   200.0  4.0   \n",
       "26          Kyle Korver  1981-03-17        6.0        7.0   212.0  1.0   \n",
       "27          Matt Bonner  1980-04-05        6.0       10.0   235.0  1.0   \n",
       "28             Pape Sow  1981-11-22        6.0       10.0   250.0  1.0   \n",
       "29          Mo Williams  1982-12-19        6.0        1.0   198.0  2.0   \n",
       "..                  ...         ...        ...        ...     ...  ...   \n",
       "489      Brandon Ingram  1997-09-02        6.0        9.0   190.0  1.0   \n",
       "490        Jaylen Brown  1996-10-24        6.0        7.0   225.0  1.0   \n",
       "491   Demetrius Jackson  1994-09-07        6.0        1.0   201.0  4.0   \n",
       "492           Kris Dunn  1994-03-18        6.0        4.0   210.0  2.0   \n",
       "493     Marquese Chriss  1997-07-02        6.0       10.0   233.0  1.0   \n",
       "494          Tyler Ulis  1996-01-05        5.0       10.0   150.0  2.0   \n",
       "495        Jakob Poeltl  1995-10-15        7.0        0.0   248.0  2.0   \n",
       "496       Pascal Siakam  1994-02-04        6.0        9.0   230.0  2.0   \n",
       "497      Taurean Prince  1994-03-22        6.0        8.0   220.0  2.0   \n",
       "498     DeAndre' Bembry  1994-07-04        6.0        6.0   210.0  3.0   \n",
       "499    Denzel Valentine  1993-11-16        6.0        6.0   212.0  4.0   \n",
       "500      Henry Ellenson  1997-01-13        6.0       11.0   245.0  1.0   \n",
       "501     Michael Gbinije  1992-06-05        6.0        7.0   200.0  2.0   \n",
       "502       Malik Beasley  1996-11-26        6.0        5.0   196.0  1.0   \n",
       "503        Caris LeVert  1994-08-25        6.0        7.0   203.0  1.0   \n",
       "504    Isaiah Whitehead  1995-03-08        6.0        4.0   213.0  1.0   \n",
       "505  Malachi Richardson  1996-01-05        6.0        6.0   205.0  1.0   \n",
       "506     Skal Labissiere  1996-03-18        6.0       11.0   225.0  1.0   \n",
       "507       Brice Johnson  1994-06-27        6.0       10.0   230.0  3.0   \n",
       "508       Diamond Stone  1997-02-10        6.0       11.0   255.0  1.0   \n",
       "509     Dejounte Murray  1996-09-19        6.0        5.0   170.0  1.0   \n",
       "510        Damian Jones  1995-06-30        7.0        0.0   245.0  3.0   \n",
       "511       Patrick McCaw  1995-10-25        6.0        7.0   185.0  2.0   \n",
       "512     Malcolm Brogdon  1992-12-11        6.0        5.0   215.0  4.0   \n",
       "513      Chinanu Onuaku  1996-11-01        6.0       10.0   245.0  1.0   \n",
       "514   Stephen Zimmerman  1996-09-09        7.0        0.0   240.0  1.0   \n",
       "515         Jake Layman  1994-03-07        6.0        9.0   210.0  4.0   \n",
       "516       Georges Niang  1993-06-17        6.0        8.0   230.0  4.0   \n",
       "517       Joel Bolomboy  1994-01-28        6.0        9.0   235.0  4.0   \n",
       "518          Kay Felder  1995-03-29        5.0        9.0   176.0  3.0   \n",
       "\n",
       "            GP        MPG       FGM      FGA_x     ...      PPG_top3  \\\n",
       "0    35.000000  36.400000  7.900000  17.500000     ...          50.0   \n",
       "1    31.000000  31.000000  5.500000   9.700000     ...          54.9   \n",
       "2    33.000000  32.100000  7.600000  15.200000     ...          50.6   \n",
       "3    31.000000  34.000000  7.900000  12.600000     ...          57.9   \n",
       "4    37.000000  33.500000  6.300000  13.200000     ...          45.5   \n",
       "5    33.000000  33.600000  4.800000  12.000000     ...          51.8   \n",
       "6    34.000000  32.000000  7.800000  14.200000     ...          54.7   \n",
       "7    27.000000  32.300000  6.900000  13.600000     ...          52.3   \n",
       "8    30.000000  32.800000  3.600000   8.900000     ...          52.3   \n",
       "9    38.000000  32.400000  7.400000  13.300000     ...          56.2   \n",
       "10   32.000000  35.600000  7.000000  13.600000     ...          49.1   \n",
       "11   30.000000  38.300000  7.200000  13.800000     ...          49.1   \n",
       "12   33.000000  35.400000  6.200000  14.200000     ...          53.2   \n",
       "13   32.000000  32.200000  5.500000  12.000000     ...          56.6   \n",
       "14   36.000000  29.700000  5.400000  11.800000     ...          56.6   \n",
       "15   31.000000  38.600000  7.200000  16.400000     ...          43.7   \n",
       "16   33.000000  30.700000  6.000000  12.800000     ...          43.7   \n",
       "17   32.000000  36.500000  6.700000  13.000000     ...          57.7   \n",
       "18   30.000000  31.300000  6.700000  14.100000     ...          60.1   \n",
       "19   28.000000  27.600000  3.900000   9.100000     ...          60.1   \n",
       "20   31.000000  32.300000  6.600000  13.800000     ...          55.2   \n",
       "21   29.000000  33.400000  5.900000  12.900000     ...          51.7   \n",
       "22   32.000000  32.100000  5.300000  11.900000     ...          58.2   \n",
       "23   31.000000  33.100000  3.200000   6.700000     ...          57.2   \n",
       "24   29.000000  32.033333  5.300000  12.933333     ...          57.2   \n",
       "25   30.250000  27.250000  4.800000   9.425000     ...          56.6   \n",
       "26   34.000000  31.800000  5.400000  11.500000     ...          56.6   \n",
       "27   33.000000  31.400000  5.500000  10.800000     ...          51.2   \n",
       "28   28.000000  32.200000  5.700000  11.600000     ...          51.2   \n",
       "29   29.500000  28.700000  3.500000   8.900000     ...          46.2   \n",
       "..         ...        ...       ...        ...     ...           ...   \n",
       "489  36.000000  34.600000  5.900000  13.400000     ...          48.9   \n",
       "490  34.000000  27.600000  4.800000  11.100000     ...          59.2   \n",
       "491  32.500000  30.550000  4.075000   9.250000     ...          59.2   \n",
       "492  33.000000  33.500000  5.600000  12.150000     ...          67.6   \n",
       "493  34.000000  24.900000  5.300000  10.000000     ...          57.6   \n",
       "494  36.000000  30.300000  3.650000   8.550000     ...          57.6   \n",
       "495  35.000000  26.850000  5.050000   7.650000     ...          63.9   \n",
       "496  34.000000  32.700000  6.500000  11.750000     ...          63.9   \n",
       "497  33.500000  28.450000  5.300000  11.700000     ...          50.5   \n",
       "498  33.666667  36.133333  5.733333  12.633333     ...          50.5   \n",
       "499  36.000000  29.100000  4.100000   9.225000     ...          53.8   \n",
       "500  33.000000  33.500000  5.900000  13.200000     ...          44.6   \n",
       "501  33.500000  36.450000  5.350000  11.600000     ...          44.6   \n",
       "502  34.000000  29.800000  5.400000  11.600000     ...          50.6   \n",
       "503  37.000000  34.000000  4.400000  10.000000     ...          49.2   \n",
       "504  34.000000  32.300000  5.700000  15.100000     ...          49.2   \n",
       "505  37.000000  34.400000  4.100000  11.100000     ...          61.6   \n",
       "506  36.000000  15.800000  2.700000   5.300000     ...          61.6   \n",
       "507  37.333333  24.033333  5.500000   9.433333     ...          54.7   \n",
       "508  35.000000  22.600000  4.800000   8.400000     ...          54.7   \n",
       "509  34.000000  33.500000  5.900000  14.300000     ...          55.2   \n",
       "510  33.000000  27.066667  5.133333   9.033333     ...          72.7   \n",
       "511  32.500000  31.650000  4.200000   9.550000     ...          72.7   \n",
       "512  34.000000  30.100000  4.275000  10.025000     ...          57.7   \n",
       "513  31.000000  24.600000  4.400000   7.100000     ...          60.2   \n",
       "514  26.000000  26.200000  3.900000   8.200000     ...          46.9   \n",
       "515  35.250000  28.300000  3.450000   7.800000     ...          65.2   \n",
       "516  34.500000  29.775000  6.150000  12.300000     ...          53.5   \n",
       "517  32.500000  29.150000  3.825000   7.275000     ...          52.8   \n",
       "518  33.666667  35.833333  5.433333  12.800000     ...          70.6   \n",
       "\n",
       "     PPG_top5  PPG_top7  PPG_top13  top3/top5  top3/top7  top3/top13  \\\n",
       "0        72.0      88.1      109.8   0.694444   0.567537    0.455373   \n",
       "1        75.2      92.1      121.1   0.730053   0.596091    0.453344   \n",
       "2        70.0      86.0      110.8   0.722857   0.588372    0.456679   \n",
       "3        75.0      89.6      120.3   0.772000   0.646205    0.481297   \n",
       "4        70.8      89.3      131.3   0.642655   0.509518    0.346535   \n",
       "5        76.8      95.7      130.8   0.674479   0.541275    0.396024   \n",
       "6        81.6     100.3      144.2   0.670343   0.545364    0.379334   \n",
       "7        72.8      91.1      123.3   0.718407   0.574094    0.424169   \n",
       "8        72.8      91.1      123.3   0.718407   0.574094    0.424169   \n",
       "9        77.4      91.9      118.0   0.726098   0.611534    0.476271   \n",
       "10       72.0      93.0      135.9   0.681944   0.527957    0.361295   \n",
       "11       72.0      93.0      135.9   0.681944   0.527957    0.361295   \n",
       "12       76.0      91.1      116.3   0.700000   0.583974    0.457438   \n",
       "13       78.3      95.3      121.2   0.722861   0.593914    0.466997   \n",
       "14       78.3      95.3      121.2   0.722861   0.593914    0.466997   \n",
       "15       65.7      84.5      115.0   0.665145   0.517160    0.380000   \n",
       "16       65.7      84.5      115.0   0.665145   0.517160    0.380000   \n",
       "17       81.9      98.2      124.7   0.704518   0.587576    0.462711   \n",
       "18       81.6      96.1      125.3   0.736520   0.625390    0.479649   \n",
       "19       81.6      96.1      125.3   0.736520   0.625390    0.479649   \n",
       "20       83.7     100.8      122.8   0.659498   0.547619    0.449511   \n",
       "21       78.7      97.0      133.0   0.656925   0.532990    0.388722   \n",
       "22       89.7     111.2      154.2   0.648829   0.523381    0.377432   \n",
       "23       77.4      87.3      107.3   0.739018   0.655212    0.533085   \n",
       "24       77.4      87.3      107.3   0.739018   0.655212    0.533085   \n",
       "25       76.3      93.5      125.5   0.741809   0.605348    0.450996   \n",
       "26       76.3      93.5      125.5   0.741809   0.605348    0.450996   \n",
       "27       77.9      96.6      124.9   0.657253   0.530021    0.409928   \n",
       "28       77.9      96.6      124.9   0.657253   0.530021    0.409928   \n",
       "29       70.2      88.4      119.6   0.658120   0.522624    0.386288   \n",
       "..        ...       ...        ...        ...        ...         ...   \n",
       "489      75.3      92.4      133.7   0.649402   0.529221    0.365744   \n",
       "490      83.7      99.3      126.5   0.707288   0.596173    0.467984   \n",
       "491      83.7      99.3      126.5   0.707288   0.596173    0.467984   \n",
       "492      88.7     104.8      126.8   0.762120   0.645038    0.533123   \n",
       "493      77.8      94.2      134.3   0.740360   0.611465    0.428891   \n",
       "494      77.8      94.2      134.3   0.740360   0.611465    0.428891   \n",
       "495      86.3     104.5      139.7   0.740440   0.611483    0.457409   \n",
       "496      86.3     104.5      139.7   0.740440   0.611483    0.457409   \n",
       "497      75.0      94.9      129.6   0.673333   0.532139    0.389660   \n",
       "498      75.0      94.9      129.6   0.673333   0.532139    0.389660   \n",
       "499      74.8      92.8      127.6   0.719251   0.579741    0.421630   \n",
       "500      72.0      91.6      120.0   0.619444   0.486900    0.371667   \n",
       "501      72.0      91.6      120.0   0.619444   0.486900    0.371667   \n",
       "502      79.2     100.1      147.3   0.638889   0.505495    0.343517   \n",
       "503      72.3      89.2      133.4   0.680498   0.551570    0.368816   \n",
       "504      72.3      89.2      133.4   0.680498   0.551570    0.368816   \n",
       "505      86.4     105.1      152.2   0.712963   0.586108    0.404731   \n",
       "506      86.4     105.1      152.2   0.712963   0.586108    0.404731   \n",
       "507      79.7     100.4      127.6   0.686324   0.544821    0.428683   \n",
       "508      79.7     100.4      127.6   0.686324   0.544821    0.428683   \n",
       "509      74.8      89.6      119.5   0.737968   0.616071    0.461925   \n",
       "510      90.5     103.4      131.7   0.803315   0.703095    0.552012   \n",
       "511      90.5     103.4      131.7   0.803315   0.703095    0.552012   \n",
       "512      79.6      97.5      130.8   0.724874   0.591795    0.441131   \n",
       "513      86.4     107.8      149.0   0.696759   0.558442    0.404027   \n",
       "514      72.4      94.1      131.0   0.647790   0.498406    0.358015   \n",
       "515      87.0     106.0      135.4   0.749425   0.615094    0.481536   \n",
       "516      75.2      91.8      124.9   0.711436   0.582789    0.428343   \n",
       "517      75.0      92.0      125.7   0.704000   0.573913    0.420048   \n",
       "518      90.4     108.0      149.0   0.780973   0.653704    0.473826   \n",
       "\n",
       "     top5/top7  top5/top13  top7/top13  \n",
       "0     0.817253    0.655738    0.802368  \n",
       "1     0.816504    0.620974    0.760528  \n",
       "2     0.813953    0.631769    0.776173  \n",
       "3     0.837054    0.623441    0.744805  \n",
       "4     0.792833    0.539223    0.680122  \n",
       "5     0.802508    0.587156    0.731651  \n",
       "6     0.813559    0.565881    0.695562  \n",
       "7     0.799122    0.590430    0.738848  \n",
       "8     0.799122    0.590430    0.738848  \n",
       "9     0.842220    0.655932    0.778814  \n",
       "10    0.774194    0.529801    0.684327  \n",
       "11    0.774194    0.529801    0.684327  \n",
       "12    0.834248    0.653482    0.783319  \n",
       "13    0.821616    0.646040    0.786304  \n",
       "14    0.821616    0.646040    0.786304  \n",
       "15    0.777515    0.571304    0.734783  \n",
       "16    0.777515    0.571304    0.734783  \n",
       "17    0.834012    0.656776    0.787490  \n",
       "18    0.849116    0.651237    0.766959  \n",
       "19    0.849116    0.651237    0.766959  \n",
       "20    0.830357    0.681596    0.820847  \n",
       "21    0.811340    0.591729    0.729323  \n",
       "22    0.806655    0.581712    0.721141  \n",
       "23    0.886598    0.721342    0.813607  \n",
       "24    0.886598    0.721342    0.813607  \n",
       "25    0.816043    0.607968    0.745020  \n",
       "26    0.816043    0.607968    0.745020  \n",
       "27    0.806418    0.623699    0.773419  \n",
       "28    0.806418    0.623699    0.773419  \n",
       "29    0.794118    0.586957    0.739130  \n",
       "..         ...         ...         ...  \n",
       "489   0.814935    0.563201    0.691099  \n",
       "490   0.842900    0.661660    0.784980  \n",
       "491   0.842900    0.661660    0.784980  \n",
       "492   0.846374    0.699527    0.826498  \n",
       "493   0.825902    0.579300    0.701415  \n",
       "494   0.825902    0.579300    0.701415  \n",
       "495   0.825837    0.617752    0.748031  \n",
       "496   0.825837    0.617752    0.748031  \n",
       "497   0.790306    0.578704    0.732253  \n",
       "498   0.790306    0.578704    0.732253  \n",
       "499   0.806034    0.586207    0.727273  \n",
       "500   0.786026    0.600000    0.763333  \n",
       "501   0.786026    0.600000    0.763333  \n",
       "502   0.791209    0.537678    0.679566  \n",
       "503   0.810538    0.541979    0.668666  \n",
       "504   0.810538    0.541979    0.668666  \n",
       "505   0.822074    0.567674    0.690539  \n",
       "506   0.822074    0.567674    0.690539  \n",
       "507   0.793825    0.624608    0.786834  \n",
       "508   0.793825    0.624608    0.786834  \n",
       "509   0.834821    0.625941    0.749791  \n",
       "510   0.875242    0.687168    0.785118  \n",
       "511   0.875242    0.687168    0.785118  \n",
       "512   0.816410    0.608563    0.745413  \n",
       "513   0.801484    0.579866    0.723490  \n",
       "514   0.769394    0.552672    0.718321  \n",
       "515   0.820755    0.642541    0.782866  \n",
       "516   0.819172    0.602082    0.734988  \n",
       "517   0.815217    0.596659    0.731901  \n",
       "518   0.837037    0.606711    0.724832  \n",
       "\n",
       "[519 rows x 113 columns]"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Player</th>\n",
       "      <th>PTS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>Blake Griffin</td>\n",
       "      <td>22.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Player   PTS\n",
       "216  Blake Griffin  22.5"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result[result['PTS'] == result['PTS'].max()][['Player','PTS']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "    .dataframe thead th {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Player</th>\n",
       "      <th>PTS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>Blake Griffin</td>\n",
       "      <td>22.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carmelo Anthony</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>Kevin Durant</td>\n",
       "      <td>20.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>Joel Embiid</td>\n",
       "      <td>20.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>Tyreke Evans</td>\n",
       "      <td>20.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Player   PTS\n",
       "216    Blake Griffin  22.5\n",
       "0    Carmelo Anthony  21.0\n",
       "142     Kevin Durant  20.3\n",
       "427      Joel Embiid  20.2\n",
       "225     Tyreke Evans  20.1"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result[result['PTS'] > 20].sort_values(['PTS'], ascending=False)[['Player','PTS']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(519, 113)"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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