Welcome to nba_py’s documentation!¶

Contents:

nba_py package¶

class nba_py.Scoreboard(month=11, day=6, year=2017, league_id='00', offset=0)¶

A scoreboard for all games for a given day Displays current games plus info for a given day

Args:

month:	Specified month (1-12)
day:	Specified day (1-31)
year:	Specified year (YYYY)
league_id:	ID for the league to look in (Default is 00)
offset:	Day offset from which to operate

Attributes:

json:	Contains the full json dump to play around with

available()¶

east_conf_standings_by_day()¶

game_header()¶

last_meeting()¶

line_score()¶

series_standings()¶

west_conf_standings_by_day()¶

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:

nba_py.game module¶

class nba_py.game.Boxscore(game_id, season='2017-18', season_type='Regular Season', range_type='0', start_period='0', end_period='0', start_range='0', end_range='0')¶

Bases: nba_py.game._BaseBoxcore

player_stats()¶

team_starter_bench_stats()¶

team_stats()¶

class nba_py.game.BoxscoreAdvanced(game_id, season='2017-18', season_type='Regular Season', range_type='0', start_period='0', end_period='0', start_range='0', end_range='0')¶

Bases: nba_py.game._BaseBoxcore

sql_players_advanced()¶

sql_team_advanced()¶

class nba_py.game.BoxscoreFourFactors(game_id, season='2017-18', season_type='Regular Season', range_type='0', start_period='0', end_period='0', start_range='0', end_range='0')¶

Bases: nba_py.game._BaseBoxcore

sql_players_four_factors()¶

sql_team_four_factors()¶

class nba_py.game.BoxscoreMisc(game_id, season='2017-18', season_type='Regular Season', range_type='0', start_period='0', end_period='0', start_range='0', end_range='0')¶

Bases: nba_py.game._BaseBoxcore

sql_players_misc()¶

sql_team_misc()¶

class nba_py.game.BoxscoreScoring(game_id, season='2017-18', season_type='Regular Season', range_type='0', start_period='0', end_period='0', start_range='0', end_range='0')¶

Bases: nba_py.game._BaseBoxcore

sql_players_scoring()¶

sql_team_scoring()¶

class nba_py.game.BoxscoreSummary(game_id, season='2017-18', season_type='Regular Season', range_type='0', start_period='0', end_period='0', start_range='0', end_range='0')¶

available_video()¶

game_info()¶

game_summary()¶

inactive_players()¶

last_meeting()¶

line_score()¶

officials()¶

other_stats()¶

season_series()¶

class nba_py.game.BoxscoreUsage(game_id, season='2017-18', season_type='Regular Season', range_type='0', start_period='0', end_period='0', start_range='0', end_range='0')¶

Bases: nba_py.game._BaseBoxcore

sql_players_usage()¶

sql_team_usage()¶

class nba_py.game.HustleStats(game_id)¶

hustle_stats_available()¶

hustle_stats_player_box_score()¶

hustle_stats_team_box_score()¶

class nba_py.game.PlayByPlay(game_id, start_period='0', end_period='0')¶

available_video()¶

info()¶

class nba_py.game.PlayerTracking(game_id)¶

info()¶

nba_py.team module¶

class nba_py.team.TeamClutchSplits(team_id, 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.team._TeamDashboard

This is a weird endpoint, to be honest. It’s got a lot of cool little stats and there are two extra fields in the json that I have no idea what they do.

If you know please tell me.

Last30Sec3Point2TeamDashboard
Last10Sec3Point2TeamDashboard

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.team.TeamCommonRoster(team_id, season='2017-18')¶

coaches()¶

roster()¶

class nba_py.team.TeamDetails(team_id)¶

awards_championships()¶

awards_conf()¶

awards_div()¶

background()¶

history()¶

hof()¶

retired()¶

social_sites()¶

class nba_py.team.TeamGameLogs(team_id, season='2017-18', season_type='Regular Season')¶

info()¶

class nba_py.team.TeamGeneralSplits(team_id, 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.team._TeamDashboard

days_rest()¶

location()¶

monthly()¶

pre_post_all_star()¶

wins_losses()¶

class nba_py.team.TeamInGameSplits(team_id, 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.team._TeamDashboard

by_actual_margin()¶

by_half()¶

by_period()¶

by_score_margin()¶

class nba_py.team.TeamLastNGamesSplits(team_id, 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.team._TeamDashboard

gamenumber()¶

last10()¶

last15()¶

last20()¶

last5()¶

class nba_py.team.TeamLineups(team_id, game_id='', group_quantity=5, season='2017-18', season_type='Regular Season', measure_type='Base', per_mode='PerGame', plus_minus='N', pace_adjust='N', rank='N', outcome='', location='', month='0', season_segment='', date_from='', date_to='', opponent_team_id='0', vs_conference='', vs_division='', game_segment='', period='0', last_n_games='0')¶

lineups()¶

overall()¶

class nba_py.team.TeamList(league_id='00')¶

info()¶

class nba_py.team.TeamOpponentSplits(team_id, 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.team._TeamDashboard

by_conference()¶

by_division()¶

by_opponent()¶

class nba_py.team.TeamPassTracking(team_id, 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.team._TeamDashboard

passes_made()¶

passes_recieved()¶

class nba_py.team.TeamPerformanceSplits(team_id, 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.team._TeamDashboard

points_against()¶

points_scored()¶

score_differential()¶

class nba_py.team.TeamPlayerOnOffDetail(team_id, 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.team._TeamDashboard

off_court()¶

on_court()¶

class nba_py.team.TeamPlayerOnOffSummary(team_id, 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.team._TeamDashboard

off_court()¶

on_court()¶

class nba_py.team.TeamPlayers(team_id, 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.team._TeamDashboard

season_totals()¶

class nba_py.team.TeamReboundTracking(team_id, 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.team._TeamDashboard

contested_rebounding()¶

rebound_distance_rebounding()¶

shot_distance_rebounding()¶

shot_type_rebounding()¶

class nba_py.team.TeamSeasons(team_id, league_id='00', season_type='Regular Season', per_mode='PerGame')¶

info()¶

class nba_py.team.TeamShootingSplits(team_id, 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.team._TeamDashboard

assisted_by()¶

assisted_shots()¶

shot_5ft()¶

shot_8ft()¶

shot_areas()¶

shot_type_summary()¶

class nba_py.team.TeamShotTracking(team_id, 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.team._TeamDashboard

closest_defender_shooting()¶

closest_defender_shooting_long()¶

dribble_shooting()¶

shot_clock_shooting()¶

touch_time_shooting()¶

class nba_py.team.TeamSummary(team_id, season='2017-18', league_id='00', season_type='Regular Season')¶

info()¶

season_ranks()¶

class nba_py.team.TeamVsPlayer(team_id, vs_player_id, 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')¶

on_off_court()¶

overall()¶

shot_area_off_court()¶

shot_area_on_court()¶

shot_area_overall()¶

shot_distance_off_court()¶

shot_distance_on_court()¶

shot_distance_overall()¶

vs_player_overall()¶

class nba_py.team.TeamYearOverYearSplits(team_id, 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.team._TeamDashboard

by_year()¶

nba_py.constants module¶

class nba_py.constants.AheadBehind¶

Bases: nba_py.constants._DefaultBlank

AheadOrBehind = 'Ahead or Behind'¶

AheadOrTied = 'Ahead or Tied'¶

BehindOrTied = 'Behind or Tied'¶

class nba_py.constants.ClutchTime¶

Bases: nba_py.constants._DefaultBlank

Last10Sec = 'Last 10 Seconds'¶

Last1Min = 'Last 1 Minutes'¶

Last2Min = 'Last 2 Minutes'¶

Last30Sec = 'Last 30 Seconds'¶

Last3Min = 'Last 3 Minutes'¶

Last4Min = 'Last 4 Minutes'¶

Last5Min = 'Last 5 Minutes'¶

class nba_py.constants.College¶: Bases: nba_py.constants._DefaultBlank

class nba_py.constants.Conference¶: Bases: nba_py.constants.VsConference

class nba_py.constants.ContextMeasure¶

Default = 'FGM'¶

EFG_PCT = 'EFG_PCT'¶

FG3A = 'FG3A'¶

FG3M = 'FG3m'¶

FG3_PCT = 'FG3_PCT'¶

FGA = 'FGA'¶

FGM = 'FGM'¶

FG_PCT = 'FG_PCT'¶

PF = 'PF'¶

PTS_2ND_CHANCE = 'PTS_2ND_CHANCE'¶

PTS_FB = 'PTS_FB'¶

PTS_OFF_TOV = 'PTS_OFF_TOV'¶

TS_PCT = 'TS_PCT'¶

class nba_py.constants.Counter¶

Default = '1000'¶

class nba_py.constants.Country¶: Bases: nba_py.constants._DefaultBlank

class nba_py.constants.DateFrom¶: Bases: nba_py.constants._DefaultBlank

class nba_py.constants.DateTo¶: Bases: nba_py.constants._DefaultBlank

class nba_py.constants.Direction¶

ASC = 'ASC'¶

DESC = 'DESC'¶

Default = 'DESC'¶

class nba_py.constants.Division¶: Bases: nba_py.constants.VsDivision

class nba_py.constants.DraftPick¶

Bases: nba_py.constants._DefaultBlank

FirstPick = '1st+Pick'¶

FirstRound = '1st+Round'¶

Lottery = 'Lottery+Pick'¶

Picks11Thru20 = 'Picks+11+Thru+20'¶

Picks21Thru30 = 'Picks+21+Thru+30'¶

SecondRound = '2nd+Round'¶

Top10 = 'Top+10+Pick'¶

Top15 = 'Top+15+Pick'¶

Top20 = 'Top+20+Pick'¶

Top25 = 'Top+25+Pick'¶

Top5 = 'Top+5+Pick'¶

Undrafted = 'Undrafted'¶

class nba_py.constants.DraftYear¶: Bases: nba_py.constants._DefaultBlank

class nba_py.constants.EndPeriod¶: Bases: nba_py.constants.Period

class nba_py.constants.EndRange¶: Bases: nba_py.constants._DefaultZero

class nba_py.constants.GameID¶: Bases: nba_py.constants._DefaultBlank

class nba_py.constants.GameScope¶

Default = 'Season'¶

Finals = 'Finals'¶

Last10 = 'Last 10'¶

Season = 'Season'¶

Yesterday = 'Yesterday'¶

class nba_py.constants.GameSegment¶

Bases: nba_py.constants._DefaultBlank

EntireGame = ''¶

FirstHalf = 'First Half'¶

Overtime = 'Overtime'¶

SecondHalf = 'Second Half'¶

class nba_py.constants.Game_Scope¶

Bases: nba_py.constants._DefaultBlank

Last10 = 'Last 10'¶

Yesterday = 'Yesterday'¶

class nba_py.constants.GroupQuantity¶

Default = 5¶

class nba_py.constants.Height¶

Bases: nba_py.constants._DefaultBlank

Example: for greater than 6ft8 api call should be GT+6-8 for lower than 7ft3 api call should be LT+7-3

class nba_py.constants.LastNGames¶: Bases: nba_py.constants._DefaultZero

class nba_py.constants.League¶

Default = '00'¶

NBA = '00'¶

class nba_py.constants.Location¶

Bases: nba_py.constants._DefaultBlank

Away = 'Away'¶

Home = 'Home'¶

class nba_py.constants.MeasureType¶

Advanced = 'Advanced'¶

Base = 'Base'¶

Default = 'Base'¶

FourFactors = 'Four Factors'¶

Misc = 'Misc'¶

Opponent = 'Opponent'¶

Scoring = 'Scoring'¶

Usage = 'Usage'¶

class nba_py.constants.Month¶

Bases: nba_py.constants._DefaultZero

All = '0'¶

April = '7'¶

August = '11'¶

December = '3'¶

February = '5'¶

January = '4'¶

July = '10'¶

June = '9'¶

March = '6'¶

May = '8'¶

November = '2'¶

October = '1'¶

September = '12'¶

class nba_py.constants.OpponentTeamID¶: Bases: nba_py.constants._DefaultZero

class nba_py.constants.Outcome¶

Bases: nba_py.constants._DefaultBlank

Loss = 'L'¶

Win = 'W'¶

class nba_py.constants.PaceAdjust¶: Bases: nba_py.constants._DefaultN

class nba_py.constants.PerMode¶

Default = 'PerGame'¶

MinutesPer = 'MinutesPer'¶

Per100Plays = 'Per100Plays'¶

Per100Possessions = 'Per100Possessions'¶

Per36 = 'Per36'¶

Per40 = 'Per40'¶

Per48 = 'Per48'¶

PerGame = 'PerGame'¶

PerMinute = 'PerMinute'¶

PerPlay = 'PerPlay'¶

PerPossession = 'PerPossession'¶

Totals = 'Totals'¶

class nba_py.constants.Period¶

Bases: nba_py.constants._DefaultZero

AllQuarters = '0'¶

FirstQuarter = '1'¶

FourthQuarter = '4'¶

Overtime(n)¶

SecondQuarter = '2'¶

ThirdQuarter = '3'¶

class nba_py.constants.PlayerExperience¶

Bases: nba_py.constants._DefaultBlank

Rookie = 'Rookie'¶

Sophomore = 'Sophomore'¶

Veteran = 'Veteran'¶

class nba_py.constants.PlayerOrTeam¶

Default = 'Player'¶

Player = 'Player'¶

Team = 'Team'¶

class nba_py.constants.PlayerPosition¶

Bases: nba_py.constants._DefaultBlank

Center = 'C'¶

Forward = 'F'¶

Guard = 'G'¶

class nba_py.constants.PlayerScope¶

AllPlayers = 'All Players'¶

Default = 'All Players'¶

Rookies = 'Rookie'¶

class nba_py.constants.Player_or_Team¶

Default = 'P'¶

Player = 'P'¶

Team = 'T'¶

class nba_py.constants.PlayoffRound¶

Bases: nba_py.constants._DefaultZero

All = '0'¶

ConferenceFinals = '3'¶

Finals = '4'¶

QuarterFinals = '1'¶

SemiFinals = '2'¶

class nba_py.constants.PlusMinus¶: Bases: nba_py.constants._DefaultN

class nba_py.constants.PtMeasureType¶

SpeedDistance = 'SpeedDistance'¶

class nba_py.constants.RangeType¶: Bases: nba_py.constants._DefaultZero

class nba_py.constants.Rank¶: Bases: nba_py.constants._DefaultN

class nba_py.constants.RookieYear¶: Bases: nba_py.constants._DefaultBlank

class nba_py.constants.Scope¶

AllPlayers = 'S'¶

Default = 'S'¶

Rookies = 'Rookies'¶

class nba_py.constants.SeasonSegment¶

Bases: nba_py.constants._DefaultBlank

EntireSeason = ''¶

PostAllStar = 'Post All-Star'¶

PreAllStar = 'Pre All-Star'¶

class nba_py.constants.SeasonType¶

Default = 'Regular Season'¶

Playoffs = 'Playoffs'¶

Regular = 'Regular Season'¶

class nba_py.constants.ShotClockRange¶

Bases: nba_py.constants._DefaultBlank

AllRanges = ''¶

ShotClockOff = 'ShotClock Off'¶

get(n)¶

class nba_py.constants.Sorter¶

AST = 'AST'¶

BLK = 'BLK'¶

DREB = 'DREB'¶

Default = 'PTS'¶

FG3A = 'FG3A'¶

FG3M = 'FG3M'¶

FG3_PCT = 'FG3_PCT'¶

FGA = 'FGA'¶

FGM = 'FGM'¶

FG_PCT = 'FG_PCT'¶

FTA = 'FTA'¶

FTM = 'FTM'¶

FT_PCT = 'FT_PCT'¶

OREB = 'OREB'¶

PTS = 'PTS'¶

REB = 'REB'¶

STL = 'STL'¶

TOV = 'TOV'¶

class nba_py.constants.StartPeriod¶: Bases: nba_py.constants.Period

class nba_py.constants.StartRange¶: Bases: nba_py.constants._DefaultZero

class nba_py.constants.StarterBench¶

Bases: nba_py.constants._DefaultBlank

Bench = 'Bench'¶

Starters = 'Starters'¶

class nba_py.constants.StatCategory¶

AST = 'AST'¶

AST_TOV = 'AST/TO'¶

BLK = 'BLK'¶

DREB = 'DREB'¶

Default = 'PTS'¶

EFF = 'EFF'¶

FG3A = '3PA'¶

FG3M = '3PM'¶

FG3_PCT = '3P%'¶

FGA = 'FGA'¶

FGM = 'FGM'¶

FG_PCT = 'FG%'¶

FTA = 'FTA'¶

FTM = 'FTM'¶

FT_PCT = 'FT%'¶

OREB = 'OREB'¶

PF = 'PF'¶

PTS = 'PTS'¶

REB = 'REB'¶

STL = 'STL'¶

STL_TOV = 'STL/TOV'¶

TOV = 'TOV'¶

class nba_py.constants.TeamID¶: Bases: nba_py.constants._DefaultZero

class nba_py.constants.VsConference¶

Bases: nba_py.constants._DefaultBlank

All = ''¶

East = 'East'¶

West = 'West'¶

class nba_py.constants.VsDivision¶

Bases: nba_py.constants._DefaultBlank

All = ''¶

Atlantic = 'Atlantic'¶

Central = 'Central'¶

Northwest = 'Northwest'¶

Pacific = 'Pacific'¶

Southeast = 'Southeast'¶

Southwest = 'Southwest'¶

class nba_py.constants.Weight¶

Bases: nba_py.constants._DefaultBlank

Example: for greater than 225lbs api call should be GT+225lbs

Indices and tables¶

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