aggregators/base.py
def _clean_data(self) -> None:
        """ Rename Player_ID columns, clean data as needed """
        for df in self._data_frames.values():
            df.drop(['Team', 'Player_Name'], axis=1, inplace=True)
            df.rename(columns={'Passer_ID': 'Player_ID',
                               'Rusher_ID': 'Player_ID',
                               'Receiver_ID': 'Player_ID'},
                      inplace=True)
 Rename Player_ID columns, clean data as needed 
Rename Player_ID columns, clean data as needed
Rename Player_ID columns clean data as needed
def _clean_data(self) -> None:
        for df in self._data_frames.values():
            df.drop(['Team', 'Player_Name'], axis=1, inplace=True)
            df.rename(columns={'Passer_ID': 'Player_ID',
                               'Rusher_ID': 'Player_ID',
                               'Receiver_ID': 'Player_ID'},
                      inplace=True)
def _clean_data ( self ) -> None : for df in self . _data_frames . values ( ) : df . drop ( [ 'Team' , 'Player_Name' ] , axis = 1 , inplace = True ) df . rename ( columns = { 'Passer_ID' : 'Player_ID' , 'Rusher_ID' : 'Player_ID' , 'Receiver_ID' : 'Player_ID' } , inplace = True )
Rename Player_ID columns, clean data as needed
Rename Player_ID columns clean data as needed
""" Rename Player_ID columns, clean data as needed """
self