nba_py.player module¶

class nba_py.player.PlayerCareer(player_id, per_mode='PerGame', league_id='00')¶

Contains stats based on several parameters such as career regular season totals, post season career totals, all star season careers totals, college season career totals, etc.

Args:

player_id:	Player ID to look up
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
league_id:	ID for the league to look in (Default is 00)

Attributes:

json:	Contains the full json dump to play around with

all_star_season_totals()¶

career_all_star_season_totals()¶

college_season_career_totals()¶

college_season_totals()¶

post_season_career_totals()¶

post_season_rankings()¶

post_season_totals()¶

preseason_career_totals()¶

preseason_season_totals()¶

regular_season_career_totals()¶

regular_season_rankings()¶

regular_season_totals()¶

class nba_py.player.PlayerClutchSplits(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Contains a lot of methods for last n minutes with a deficit of x points

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

last10sec_deficit_3point()¶: Results in last 5 minutes <= 5 points

last1min_deficit_5point()¶: Results in last 5 minutes <= 5 points

last1min_plusminus_5point()¶: Last 1 minutes +/= 5 points

last30sec_deficit_3point()¶: Results in last 5 minutes <= 5 points

last30sec_plusminus_5point()¶: Last 30 seconds +/= 3 points

last3min_deficit_5point()¶: Results in last 5 minutes <= 5 points

last3min_plusminus_5point()¶: Last 3 minutes +/= 5 points

last5min_deficit_5point()¶: Results in last 5 minutes <= 5 points

last5min_plusminus_5point()¶: Last 5 minutes +/= 5 points

class nba_py.player.PlayerDefenseTracking(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Tracking data for defense for a given player

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

class nba_py.player.PlayerGameLogs(player_id, league_id='00', season='2017-18', season_type='Regular Season')¶

Contains a full log of all the games for a player for a given season

Args:

player_id:	ID of the player to look up
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)

Attributes:

json:	Contains the full json dump to play around with

info()¶

class nba_py.player.PlayerGeneralSplits(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Contains stats pertaining to location, wins and losses, pre/post all star break, starting position, and numbers of days rest

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

days_rest()¶

location()¶

month()¶

pre_post_all_star()¶

starting_position()¶

win_losses()¶

class nba_py.player.PlayerInGameSplits(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Contains player stats by half, by quarter, by score margin, and by actual margins.

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

by_actual_margin()¶

by_half()¶

by_period()¶

by_score_margin()¶

class nba_py.player.PlayerLastNGamesSplits(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Contains players stats per last 5, 10, 15, and 20 games, or specified number of games.

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

gamenumber()¶

last10()¶

last15()¶

last20()¶

last5()¶

class nba_py.player.PlayerList(league_id='00', season='2017-18', only_current=1)¶

Contains a list of all players for a season, if specified, and will only contain current players if specified as well

Args:

league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
only_current:	Restrict lookup to only current players

Attributes:

json:	Contains the full json dump to play around with

info()¶

exception nba_py.player.PlayerNotFoundException¶: Bases: exceptions.Exception

class nba_py.player.PlayerOpponentSplits(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Contains stats pertaining to player stats vs certain opponents by division, conference, and by specific team opponent

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

by_conference()¶

by_division()¶

by_opponent()¶

class nba_py.player.PlayerPassTracking(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Tracking data for passing for a given player

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

passes_made()¶

passes_received()¶

class nba_py.player.PlayerPerformanceSplits(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Player stats by different performance metrics such as score differntial, points scored, and points scored against

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

points_against()¶

points_scored()¶

score_differential()¶

class nba_py.player.PlayerProfile(player_id, per_mode='PerGame', league_id='00')¶

Bases: nba_py.player.PlayerCareer

Contains a more in depth version of player career stats with season highs, career highs, and when the player’s next game is

Args:

player_id:	Player ID to look up
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
league_id:	ID for the league to look in (Default is 00)

Attributes:

json:	Contains the full json dump to play around with

career_highs()¶

next_game()¶

season_highs()¶

class nba_py.player.PlayerReboundLogTracking(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Contains a log for every rebound for a given season for a given player

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

class nba_py.player.PlayerReboundTracking(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Tracking data for rebounding for a given player

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

num_contested_rebounding()¶

rebound_distance_rebounding()¶

shot_distance_rebounding()¶

shot_type_rebounding()¶

class nba_py.player.PlayerShootingSplits(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Shooting stats based on distance, area, assisted to, shot types, and assisted by.

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

assisted_by()¶

assisted_shots()¶

shot_5ft()¶

shot_8ft()¶

shot_areas()¶

shot_types_detail()¶

shot_types_summary()¶

class nba_py.player.PlayerShotLogTracking(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Contains a log for every shot for a given season for a given player

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

class nba_py.player.PlayerShotTracking(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Tracking data for shooting for a given player

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

closest_defender_shooting()¶

closest_defender_shooting_long()¶

dribble_shooting()¶

general_shooting()¶

shot_clock_shooting()¶

touch_time_shooting()¶

class nba_py.player.PlayerSummary(player_id)¶

Contains common player information like headline stats, weight, etc.

Args:

player_id:	ID of the player to look up

Attributes:

json:	Contains the full json dump to play around with

headline_stats()¶

info()¶

class nba_py.player.PlayerVsPlayer(player_id, vs_player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Contains general stats that pertain to players going against other players

Args:

opponent_team_id:
player_id:	ID of the player to look up
vs_player_id:	ID of the vs player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json: Contains the full json dump to play around with

on_off_court()¶

overall()¶

player_info()¶

shot_area_off_court()¶

shot_area_on_court()¶

shot_area_overall()¶

shot_distance_off_court()¶

shot_distance_on_court()¶

shot_distance_overall()¶

vs_player_info()¶

class nba_py.player.PlayerYearOverYearSplits(player_id, team_id=0, measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', league_id='00', season='2017-18', season_type='Regular Season', po_round='0', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', shot_clock_range='', last_n_games='0')¶

Bases: nba_py.player._PlayerDashboard

Displays player stats over the given season and over all seasons in the given league

Args:

opponent_team_id:
player_id:	ID of the player to look up
team_id:	ID of the team to look up
measure_type:	Specifies type of measure to use (Base, Advanced, etc.)
per_mode:	Mode to measure statistics (Totals, PerGame, Per36, etc.)
plus_minus:	Whether or not to consider plus minus (Y or N)
pace_adjust:	Whether or not to pace adjust stats (Y or N)
rank:	Whether or not to consider rank (Y or N)
league_id:	ID for the league to look in (Default is 00)
season:	Season given to look up
season_type:	Season type to consider (Regular / Playoffs)
po_round:	Playoff round
outcome:	Filter out by wins or losses
location:	Filter out by home or away
month:	Specify month to filter by
season_segment:	Filter by pre/post all star break
date_from:	Filter out games before a specific date
date_to:	Filter out games after a specific date
	Opponent team ID to look up
vs_conference:	Filter by conference
vs_division:	Filter by division
game_segment:	Filter by half / overtime
period:	Filter by quarter / specific overtime
shot_clock_range:
	Filter statistics by range in shot clock
last_n_games:	Filter by number of games specified in N

Attributes:

json:	Contains the full json dump to play around with

by_year()¶

nba_py.player.get_player(first_name, last_name=None, season='2017-18', only_current=0, just_id=True)¶

Calls our PlayerList class to get a full list of players and then returns just an id if specified or the full row of player information

Args:

first_name:	First name of the player
last_name:	Last name of the player

(this is None if the player only has first name [Nene]) :only_current: Only wants the current list of players :just_id: Only wants the id of the player

Returns:

Either the ID or full row of information of the player inputted

Raises:

:PlayerNotFoundException: