MBB Function Index
sportsdataverse.mbb package#
sportsdataverse.mbb.load_mbb_pbp(seasons: List[int])#
Load men’s college basketball play by play data going back to 2002
Example:
mbb_df = sportsdataverse.mbb.load_mbb_pbp(seasons=range(2002,2022))Args:
seasons (list): Used to define different seasons. 2002 is the earliest available season.Returns:
pd.DataFrame: Pandas dataframe containing theplay-by-plays available for the requested seasons.Raises:
ValueError: If season is less than 2002.sportsdataverse.mbb.load_mbb_player_boxscore(seasons: List[int])#
Load men’s college basketball player boxscore data
Example:
mbb_df = sportsdataverse.mbb.load_mbb_player_boxscore(seasons=range(2002,2022))Args:
seasons (list): Used to define different seasons. 2002 is the earliest available season.Returns:
pd.DataFrame: Pandas dataframe containing theplayer boxscores available for the requested seasons.Raises:
ValueError: If season is less than 2002.sportsdataverse.mbb.load_mbb_schedule(seasons: List[int])#
Load men’s college basketball schedule data
Example:
mbb_df = sportsdataverse.mbb.load_mbb_schedule(seasons=range(2002,2022))Args:
seasons (list): Used to define different seasons. 2002 is the earliest available season.Returns:
pd.DataFrame: Pandas dataframe containing theschedule for the requested seasons.Raises:
ValueError: If season is less than 2002.sportsdataverse.mbb.load_mbb_team_boxscore(seasons: List[int])#
Load men’s college basketball team boxscore data
Example:
mbb_df = sportsdataverse.mbb.load_mbb_team_boxscore(seasons=range(2002,2022))Args:
seasons (list): Used to define different seasons. 2002 is the earliest available season.Returns:
pd.DataFrame: Pandas dataframe containing theteam boxscores available for the requested seasons.Raises:
ValueError: If season is less than 2002.sportsdataverse.mbb.espn_mbb_pbp(game_id: int)#
mbb_pbp() - Pull the game by id. Data from API endpoints: mens-college-basketball/playbyplay, mens-college-basketball/summary
Args:
game_id (int): Unique game_id, can be obtained from mbb_schedule().Returns:
Dict: Dictionary of game data with keys: “gameId”, “plays”, “winprobability”, “boxscore”, “header”, “broadcasts”,“videos”, “playByPlaySource”, “standings”, “leaders”, “timeouts”, “pickcenter”, “againstTheSpread”, “odds”, “predictor”,“espnWP”, “gameInfo”, “season”Example:
mbb_df = sportsdataverse.mbb.espn_mbb_pbp(game_id=401265031)sportsdataverse.mbb.espn_mbb_calendar(season=None)#
mbb_calendar - look up the men’s college basketball calendar for a given season
Args:
season (int): Used to define different seasons. 2002 is the earliest available season.Returns:
pd.DataFrame: Pandas dataframe containing schedule dates for the requested season.sportsdataverse.mbb.espn_mbb_schedule(dates=None, groups=None, season_type=None)#
mbb_schedule - look up the men’s college basketball scheduler for a given season
Args:
dates (int): Used to define different seasons. 2002 is the earliest available season.groups (int): Used to define different divisions. 50 is Division I, 51 is Division II, 52 is Division III.season_type (int): 2 for regular season, 3 for post-season, 4 for off-season.Returns:
pd.DataFrame: Pandas dataframe containing schedule dates for the requested season.