sportsref/nba/boxscores.py
def _get_player_stats(self, table_id_fmt):
        """Returns a DataFrame of player stats from the game (either basic or
        advanced, depending on the argument.

        :param table_id_fmt: Format string for str.format with a placeholder
            for the team ID (e.g. 'box_{}_basic')
        :returns: DataFrame of player stats
        """

        # get data
        doc = self.get_main_doc()
        tms = self.away(), self.home()
        tm_ids = [table_id_fmt.format(tm) for tm in tms]
        tables = [doc('table#{}'.format(tm_id).lower()) for tm_id in tm_ids]
        dfs = [sportsref.utils.parse_table(table) for table in tables]

        # clean data and add features
        for i, (tm, df) in enumerate(zip(tms, dfs)):
            no_time = df['mp'] == 0
            stat_cols = [col for col, dtype in df.dtypes.items()
                         if dtype != 'object']
            df.loc[no_time, stat_cols] = 0
            df['team_id'] = tm
            df['is_home'] = i == 1
            df['is_starter'] = [p < 5 for p in range(df.shape[0])]
            df.drop_duplicates(subset='player_id', keep='first', inplace=True)

        return pd.concat(dfs)
def _get_player_stats(self, table_id_fmt):
        # get data
        doc = self.get_main_doc()
        tms = self.away(), self.home()
        tm_ids = [table_id_fmt.format(tm) for tm in tms]
        tables = [doc('table#{}'.format(tm_id).lower()) for tm_id in tm_ids]
        dfs = [sportsref.utils.parse_table(table) for table in tables]

        # clean data and add features
        for i, (tm, df) in enumerate(zip(tms, dfs)):
            no_time = df['mp'] == 0
            stat_cols = [col for col, dtype in df.dtypes.items()
                         if dtype != 'object']
            df.loc[no_time, stat_cols] = 0
            df['team_id'] = tm
            df['is_home'] = i == 1
            df['is_starter'] = [p < 5 for p in range(df.shape[0])]
            df.drop_duplicates(subset='player_id', keep='first', inplace=True)

        return pd.concat(dfs)
def _get_player_stats ( self , table_id_fmt ) : # get data doc = self . get_main_doc ( ) tms = self . away ( ) , self . home ( ) tm_ids = [ table_id_fmt . format ( tm ) for tm in tms ] tables = [ doc ( 'table#{}' . format ( tm_id ) . lower ( ) ) for tm_id in tm_ids ] dfs = [ sportsref . utils . parse_table ( table ) for table in tables ] # clean data and add features for i , ( tm , df ) in enumerate ( zip ( tms , dfs ) ) : no_time = df [ 'mp' ] == 0 stat_cols = [ col for col , dtype in df . dtypes . items ( ) if dtype != 'object' ] df . loc [ no_time , stat_cols ] = 0 df [ 'team_id' ] = tm df [ 'is_home' ] = i == 1 df [ 'is_starter' ] = [ p < 5 for p in range ( df . shape [ 0 ] ) ] df . drop_duplicates ( subset = 'player_id' , keep = 'first' , inplace = True ) return pd . concat ( dfs )
Returns a DataFrame of player stats from the game (either basic or
        advanced, depending on the argument.

        :param table_id_fmt: Format string for str.format with a placeholder
            for the team ID (e.g. 'box_{}_basic')
        :returns: DataFrame of player stats
Returns a DataFrame of player stats from the game ( either basic or advanced depending on the argument .