pro_football_reference_web_scraper package¶
Submodules¶
pro_football_reference_web_scraper.player_game_log module¶
- player_game_log.get_player_game_log(player: str, position: str, season: int) DataFrame¶
A function to retrieve a player’s game log in a given season.
Returns a pandas DataFrame of a NFL player’s game log in a given season, including position-specific statistics.
- Parameters:
player (str) – A NFL player’s full name, as it appears on Pro Football Reference
position (str) – The position the player plays. Must be ‘QB’, ‘RB’, ‘WR’, or ‘TE’
season (int) – The season of the game log you are trying to retrieve
- Returns:
Each game is a row of the DataFrame
- Return type:
pandas.DataFrame
pro_football_reference_web_scraper.team_game_log module¶
- team_game_log.get_team_game_log(team: str, season: int) DataFrame¶
A function to retrieve a team’s game log in a given season.
Returns a pandas DataFrame of a NFL team’s game log in a given season, including relevant team-level statistics.
- Parameters:
team (str) – A NFL team’s name, as it appears on Pro Football Reference
season (int) – The season of the game log you are trying to retrieve
- Returns:
Each game is a row of the DataFrame
- Return type:
pandas.DataFrame
pro_football_reference_web_scraper.player_splits module¶
- player_splits.home_road(player: str, position: str, season: int, avg=True) DataFrame¶
A function that returns a player’s home-road splits in a given season
Returns a pandas DataFrame of a player’s stats at home vs. on the road
- Parameters:
player (str) – A NFL player’s full name, as it appears on Pro Football Reference
position (str) – The position the player plays. Must be ‘QB’, ‘RB’, ‘WR’, or ‘TE’
season (int) – The season of the stats you are trying to retrieve
avg (bool) – Whether you want the stats as averages or sums (default = True)
- Returns:
A pandas DataFrame of a player’s home-road splits
- Return type:
pandas.DataFrame
- player_splits.win_loss(player: str, position: str, season: int, avg=True) DataFrame¶
A function that returns a player’s win-loss splits in a given season
Returns a pandas DataFrame of a player’s stats in wins vs. in losses
- Parameters:
player (str) – A NFL player’s full name, as it appears on Pro Football Reference
position (str) – The position the player plays. Must be ‘QB’, ‘RB’, ‘WR’, or ‘TE’
season (int) – The season of the stats you are trying to retrieve
avg (bool) – Whether you want the stats as averages or sums
- Returns:
A pandas DataFrame of a player’s win-loss splits
- Return type:
pandas.DataFrame
pro_football_reference_web_scraper.team_splits module¶
- team_splits.home_road(team: str, season: int, avg=True) DataFrame¶
A function that returns a team’s home-road splits in a given season
Returns a pandas DataFrame of a team’s stats at home vs. on the road
- Parameters:
team (str) – A NFL team’s name, as it appears on Pro Football Reference
season (int) – The season of the stats you are trying to retrieve
avg (bool) – Whether you want the stats as averages or sums (default = True)
- Returns:
A pandas DataFrame of a team’s home-road splits
- Return type:
pandas.DataFrame
- team_splits.win_loss(team: str, season: int, avg=True) DataFrame¶
A function that returns a team’s win-loss splits in a given season
Returns a pandas DataFrame of a player’s stats in wins vs. in losses
- Parameters:
team (str) – A NFL team’s name, as it appears on Pro Football Reference
season (int) – The season of the stats you are trying to retrieve
avg (bool) – Whether you want the stats as averages or sums (default = True)
- Returns:
A pandas DataFrame of a team’s win-loss splits
- Return type:
pandas.DataFrame