sportsdataverse.cfb package
Submodules
sportsdataverse.cfb.cfb_loaders module
sportsdataverse.cfb.cfb_loaders.get_cfb_teams()
Load college football team ID information and logos
Example:
cfb_df = sportsdataverse.cfb.cfb_teams()
Args:
Returns:
pd.DataFrame: Pandas dataframe containing teams available for the requested seasons.
sportsdataverse.cfb.cfb_loaders.load_cfb_pbp(seasons: List[int])
Load college football play by play data going back to 2003
Example:
cfb_df = sportsdataverse.cfb.load_cfb_pbp(seasons=range(2003,2021))
Args:
seasons (list): Used to define different seasons. 2003 is the earliest available season.
Returns:
pd.DataFrame: Pandas dataframe containing the play-by-plays available for the requested seasons.
Raises:
ValueError: If season is less than 2003.
sportsdataverse.cfb.cfb_loaders.load_cfb_rosters(seasons: List[int])
Load roster data
Example:
cfb_df = sportsdataverse.cfb.load_cfb_rosters(seasons=range(2014,2021))
Args:
seasons (list): Used to define different seasons. 2014 is the earliest available season.
Returns:
pd.DataFrame: Pandas dataframe containing rosters available for the requested seasons.
Raises:
ValueError: If season is less than 2014.
sportsdataverse.cfb.cfb_loaders.load_cfb_schedule(seasons: List[int])
Load college football schedule data
Example:
cfb_df = sportsdataverse.cfb.load_cfb_schedule(seasons=range(2002,2021))
Args:
seasons (list): Used to define different seasons. 2002 is the earliest available season.
Returns:
pd.DataFrame: Pandas dataframe containing the schedule for the requested seasons.
Raises:
ValueError: If season is less than 2002.
sportsdataverse.cfb.cfb_loaders.load_cfb_team_info(seasons: List[int])
Load college football team info
Example:
cfb_df = sportsdataverse.cfb.load_cfb_team_info(seasons=range(2002,2021))
Args:
seasons (list): Used to define different seasons. 2002 is the earliest available season.
Returns:
pd.DataFrame: Pandas dataframe containing the team info available for the requested seasons.
Raises:
ValueError: If season is less than 2002.
sportsdataverse.cfb.cfb_pbp module
class sportsdataverse.cfb.cfb_pbp.CFBPlayProcess(gameId=0, raw=False, path_to_json='/')
Bases: object
__init__(gameId=0, raw=False, path_to_json='/')
Initialize self. See help(type(self)) for accurate signature.
cfb_pbp_disk()
create_box_score()
espn_cfb_pbp()
espn_cfb_pbp() - Pull the game by id. Data from API endpoints: college-football/playbyplay, college-football/summary
Args:
game_id (int): Unique game_id, can be obtained from cfb_schedule().
Returns:
Dict: Dictionary of game data with keys - “gameId”, “plays”, “boxscore”, “header”, “broadcasts”,
“videos”, “playByPlaySource”, “standings”, “leaders”, “timeouts”, “homeTeamSpread”, “overUnder”,
“pickcenter”, “againstTheSpread”, “odds”, “predictor”, “winprobability”, “espnWP”,
“gameInfo”, “season”
Example:
cfb_df = sportsdataverse.cfb.CFBPlayProcess(gameId=401256137).espn_cfb_pbp()
gameId( = 0)
path_to_json( = '/')
ran_cleaning_pipeline( = False)
ran_pipeline( = False)
raw( = False)
run_cleaning_pipeline()
run_processing_pipeline()
sportsdataverse.cfb.cfb_schedule module
sportsdataverse.cfb.cfb_schedule.espn_cfb_calendar(season=None, groups=None, ondays=None)
espn_cfb_calendar - look up the men’s college football calendar for a given season
Args:
season (int): Used to define different seasons. 2002 is the earliest available season.
groups (int): Used to define different divisions. 80 is FBS, 81 is FCS.
ondays (boolean): Used to return dates for calendar ondays
Returns:
pd.DataFrame: Pandas dataframe containing calendar dates for the requested season.
Raises:
ValueError: If season is less than 2002.
sportsdataverse.cfb.cfb_schedule.espn_cfb_schedule(dates=None, week=None, season_type=None, groups=None, limit=500)
espn_cfb_schedule - look up the college football schedule for a given season
Args:
dates (int): Used to define different seasons. 2002 is the earliest available season.
week (int): Week of the schedule.
groups (int): Used to define different divisions. 80 is FBS, 81 is FCS.
season_type (int): 2 for regular season, 3 for post-season, 4 for off-season.
limit (int): number of records to return, default: 500.
Returns:
pd.DataFrame: Pandas dataframe containing schedule dates for the requested season.
sportsdataverse.cfb.cfb_schedule.most_recent_cfb_season()
sportsdataverse.cfb.cfb_teams module
sportsdataverse.cfb.cfb_teams.espn_cfb_teams(groups=None)
espn_cfb_teams - look up the college football teams
Args:
groups (int): Used to define different divisions. 80 is FBS, 81 is FCS.
Returns:
pd.DataFrame: Pandas dataframe containing schedule dates for the requested season.