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sportsdataverse.wbb package

Submodules​

sportsdataverse.wbb.wbb_game_rosters module​

sportsdataverse.wbb.wbb_game_rosters.espn_wbb_game_rosters(game_id: int, raw=False, return_as_pandas=False, **kwargs)​

espn_wbb_game_rosters() - Pull the game by id.

Args:

game_id (int): Unique game_id, can be obtained from wbb_schedule().
return_as_pandas (bool): If True, returns a pandas dataframe. If False, returns a polars dataframe.

Returns:

pl.DataFrame: Polars dataframe of game roster data with columns:
‘athlete_id’, ‘athlete_uid’, ‘athlete_guid’, ‘athlete_type’,
‘first_name’, ‘last_name’, ‘full_name’, ‘athlete_display_name’,
‘short_name’, ‘weight’, ‘display_weight’, ‘height’, ‘display_height’,
‘age’, ‘date_of_birth’, ‘slug’, ‘jersey’, ‘linked’, ‘active’,
‘alternate_ids_sdr’, ‘birth_place_city’, ‘birth_place_state’,
‘birth_place_country’, ‘headshot_href’, ‘headshot_alt’,
‘experience_years’, ‘experience_display_value’,
‘experience_abbreviation’, ‘status_id’, ‘status_name’, ‘status_type’,
‘status_abbreviation’, ‘hand_type’, ‘hand_abbreviation’,
‘hand_display_value’, ‘draft_display_text’, ‘draft_round’, ‘draft_year’,
‘draft_selection’, ‘player_id’, ‘starter’, ‘valid’, ‘did_not_play’,
‘display_name’, ‘ejected’, ‘athlete_href’, ‘position_href’,
‘statistics_href’, ‘team_id’, ‘team_guid’, ‘team_uid’, ‘team_slug’,
‘team_location’, ‘team_name’, ‘team_nickname’, ‘team_abbreviation’,
‘team_display_name’, ‘team_short_display_name’, ‘team_color’,
‘team_alternate_color’, ‘is_active’, ‘is_all_star’,
‘team_alternate_ids_sdr’, ‘logo_href’, ‘logo_dark_href’, ‘game_id’

Example:

wbb_df = sportsdataverse.wbb.espn_wbb_game_rosters(game_id=401266534)

sportsdataverse.wbb.wbb_game_rosters.helper_wbb_athlete_items(teams_rosters, **kwargs)​

sportsdataverse.wbb.wbb_game_rosters.helper_wbb_game_items(summary)​

sportsdataverse.wbb.wbb_game_rosters.helper_wbb_roster_items(items, summary_url, **kwargs)​

sportsdataverse.wbb.wbb_game_rosters.helper_wbb_team_items(items, **kwargs)​

sportsdataverse.wbb.wbb_loaders module​

sportsdataverse.wbb.wbb_loaders.load_wbb_pbp(seasons: List[int], return_as_pandas=False)​

Load women’s college basketball play by play data going back to 2002

Example:

wbb_df = sportsdataverse.wbb.load_wbb_pbp(seasons=range(2002,2022))

Args:

seasons (list): Used to define different seasons. 2002 is the earliest available season.
return_as_pandas (bool): If True, returns a pandas dataframe. If False, returns a polars dataframe.

Returns:

pl.DataFrame: Polars dataframe containing the
play-by-plays available for the requested seasons.

Raises:

ValueError: If season is less than 2002.

sportsdataverse.wbb.wbb_loaders.load_wbb_player_boxscore(seasons: List[int], return_as_pandas=False)​

Load women’s college basketball player boxscore data

Example:

wbb_df = sportsdataverse.wbb.load_wbb_player_boxscore(seasons=range(2002,2022))

Args:

seasons (list): Used to define different seasons. 2002 is the earliest available season.
return_as_pandas (bool): If True, returns a pandas dataframe. If False, returns a polars dataframe.

Returns:

pl.DataFrame: Polars dataframe containing the
player boxscores available for the requested seasons.

Raises:

ValueError: If season is less than 2002.

sportsdataverse.wbb.wbb_loaders.load_wbb_schedule(seasons: List[int], return_as_pandas=False)​

Load women’s college basketball schedule data

Example:

wbb_df = sportsdataverse.wbb.load_wbb_schedule(seasons=range(2002,2022))

Args:

seasons (list): Used to define different seasons. 2002 is the earliest available season.
return_as_pandas (bool): If True, returns a pandas dataframe. If False, returns a polars dataframe.

Returns:

pl.DataFrame: Polars dataframe containing the
schedule for  the requested seasons.

Raises:

ValueError: If season is less than 2002.

sportsdataverse.wbb.wbb_loaders.load_wbb_team_boxscore(seasons: List[int], return_as_pandas=False)​

Load women’s college basketball team boxscore data

Example:

wbb_df = sportsdataverse.wbb.load_wbb_team_boxscore(seasons=range(2002,2022))

Args:

seasons (list): Used to define different seasons. 2002 is the earliest available season.
return_as_pandas (bool): If True, returns a pandas dataframe. If False, returns a polars dataframe.

Returns:

pl.DataFrame: Polars dataframe containing the
team boxscores available for the requested seasons.

Raises:

ValueError: If season is less than 2002.

sportsdataverse.wbb.wbb_pbp module​

sportsdataverse.wbb.wbb_pbp.espn_wbb_pbp(game_id: int, raw=False, **kwargs)​

espn_wbb_pbp() - Pull the game by id. Data from API endpoints - womens-college-basketball/playbyplay, womens-college-basketball/summary

Args:

game_id (int): Unique game_id, can be obtained from wbb_schedule().
raw (bool): If True, returns the raw json from the API endpoint. If False, returns a cleaned dictionary of datasets.

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:

wbb_df = sportsdataverse.wb.espn_wbb_pbp(game_id=401266534)

sportsdataverse.wbb.wbb_pbp.helper_wbb_game_data(pbp_txt, init)​

sportsdataverse.wbb.wbb_pbp.helper_wbb_pbp(game_id, pbp_txt)​

sportsdataverse.wbb.wbb_pbp.helper_wbb_pbp_features(game_id, pbp_txt, init)​

sportsdataverse.wbb.wbb_pbp.helper_wbb_pickcenter(pbp_txt)​

sportsdataverse.wbb.wbb_pbp.wbb_pbp_disk(game_id, path_to_json)​

sportsdataverse.wbb.wbb_schedule module​

sportsdataverse.wbb.wbb_schedule.espn_wbb_calendar(season=None, ondays=None, return_as_pandas=False, **kwargs)​

espn_wbb_calendar - look up the women’s college basketball calendar for a given season

Args:

season (int): Used to define different seasons. 2002 is the earliest available season.
ondays (boolean): Used to return dates for calendar ondays
return_as_pandas (bool): If True, returns a pandas dataframe. If False, returns a polars dataframe.

Returns:

pl.DataFrame: Polars dataframe containing calendar dates for the requested season.

Raises:

ValueError: If season is less than 2002.

sportsdataverse.wbb.wbb_schedule.espn_wbb_schedule(dates=None, groups=50, season_type=None, limit=500, return_as_pandas=False, **kwargs)​

espn_wbb_schedule - look up the women’s college basketball schedule 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/Division III.
season_type (int): 2 for regular season, 3 for post-season, 4 for off-season.
limit (int): number of records to return, default: 500.
return_as_pandas (bool): If True, returns a pandas dataframe. If False, returns a polars dataframe.

Returns:

pl.DataFrame: Polars dataframe containing schedule dates for the requested season. Returns None if no games

sportsdataverse.wbb.wbb_schedule.most_recent_wbb_season()​

sportsdataverse.wbb.wbb_teams module​

sportsdataverse.wbb.wbb_teams.espn_wbb_teams(groups=None, return_as_pandas=False, **kwargs)​

espn_wbb_teams - look up the women’s college basketball teams

Args:

groups (int): Used to define different divisions. 50 is Division I, 51 is Division II/Division III.
return_as_pandas (bool): If True, returns a pandas dataframe. If False, returns a polars dataframe.

Returns:

pl.DataFrame: Polars dataframe containing teams for the requested league.
This function caches by default, so if you want to refresh the data, use the command
sportsdataverse.wbb.espn_wbb_teams.clear_cache().

Example:

wbb_df = sportsdataverse.wbb.espn_wbb_teams()

Module contents​