CFB Function Index
sportsdataverse.cfb.espn_cfb_teams()​
Load college football team ID information and logos
Example:
cfb_df = sportsdataverse.cfb.espn_cfb_teams()
Args:
Returns:
pd.DataFrame: Pandas dataframe containing teams available for the requested seasons.
CFB Loaders
sportsdataverse.cfb.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.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.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.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.
class sportsdataverse.cfb.CFBPlayProcess(gameId=0)​
Bases: object
__init__(gameId=0)​
Initialize self. See help(type(self)) for accurate signature.
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()
create_box_score()​
gameId( = 0)​
ran_pipeline( = False)​
run_processing_pipeline()​
sportsdataverse.cfb.espn_cfb_calendar(season=None, groups=None)​
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.
Returns:
pd.DataFrame: Pandas dataframe containing calendar dates for the requested season.
Raises:
ValueError: If season is less than 2002.
sportsdataverse.cfb.espn_cfb_schedule(dates=None, week=None, season_type=None, groups=None)​
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.
Returns:
pd.DataFrame: Pandas dataframe containing schedule dates for the requested season.