WNBA Function Index

sportsdataverse.wnba package

sportsdataverse.wnba.load_wnba_pbp(seasons: List[int])

Load WNBA play by play data going back to 2002

Example:

wnba_df = sportsdataverse.wnba.load_wnba_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.wnba.load_wnba_player_boxscore(seasons: List[int])

Load WNBA player boxscore data

Example:

wnba_df = sportsdataverse.wnba.load_wnba_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.wnba.load_wnba_schedule(seasons: List[int])

Load WNBA schedule data

Example:

wnba_df = sportsdataverse.wnba.load_wnba_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.wnba.load_wnba_team_boxscore(seasons: List[int])

Load WNBA team boxscore data

Example:

wnba_df = sportsdataverse.wnba.load_wnba_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.wnba.espn_wnba_pbp(game_id: int)

espn_wnba_pbp() - Pull the game by id. Data from API endpoints - wnba/playbyplay, wnba/summary

Args:

game_id (int): Unique game_id, can be obtained from wnba_schedule().

Returns:

Dict: Dictionary of game data with keys - “gameId”, “plays”, “winprobability”, “boxscore”, “header”,
    “broadcasts”, “videos”, “playByPlaySource”, “standings”, “leaders”, “seasonseries”, “timeouts”,    “pickcenter”, “againstTheSpread”, “odds”, “predictor”, “espnWP”, “gameInfo”, “season”

Example:

wnba_df = sportsdataverse.wnba.espn_wnba_pbp(game_id=401370395)

sportsdataverse.wnba.espn_wnba_calendar(season=None)

espn_wnba_calendar - look up the WNBA calendar for a given season

Args:

season (int): Used to define different seasons. 2002 is the earliest available season.

Returns:

pd.DataFrame: Pandas dataframe containingcalendar dates for the requested season.

Raises:

ValueError: If season is less than 2002.

sportsdataverse.wnba.espn_wnba_schedule(dates=None, season_type=None)

espn_wnba_schedule - look up the WNBA schedule for a given season

Args:

dates (int): Used to define different seasons. 2002 is the earliest available season.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.