sportsref/nba/seasons.py
def schedule(self, kind='R'):
        """Returns a list of BoxScore IDs for every game in the season.
        Only needs to handle 'R' or 'P' options because decorator handles 'B'.

        :param kind: 'R' for regular season, 'P' for playoffs, 'B' for both.
            Defaults to 'R'.
        :returns: DataFrame of schedule information.
        :rtype: pd.DataFrame
        """
        kind = kind.upper()[0]
        dfs = []

        # get games from each month
        for month in ('october', 'november', 'december', 'january', 'february',
                      'march', 'april', 'may', 'june'):
            try:
                doc = self.get_sub_doc('games-{}'.format(month))
            except ValueError:
                continue
            table = doc('table#schedule')
            df = sportsref.utils.parse_table(table)
            dfs.append(df)
        df = pd.concat(dfs).reset_index(drop=True)

        # figure out how many regular season games
        try:
            sportsref.utils.get_html('{}/playoffs/NBA_{}.html'.format(
                sportsref.nba.BASE_URL, self.yr)
            )
            is_past_season = True
        except ValueError:
            is_past_season = False

        if is_past_season:
            team_per_game = self.team_stats_per_game()
            n_reg_games = int(team_per_game.g.sum() // 2)
        else:
            n_reg_games = len(df)

        # subset appropriately based on `kind`
        if kind == 'P':
            return df.iloc[n_reg_games:]
        else:
            return df.iloc[:n_reg_games]
def schedule(self, kind='R'):
        kind = kind.upper()[0]
        dfs = []

        # get games from each month
        for month in ('october', 'november', 'december', 'january', 'february',
                      'march', 'april', 'may', 'june'):
            try:
                doc = self.get_sub_doc('games-{}'.format(month))
            except ValueError:
                continue
            table = doc('table#schedule')
            df = sportsref.utils.parse_table(table)
            dfs.append(df)
        df = pd.concat(dfs).reset_index(drop=True)

        # figure out how many regular season games
        try:
            sportsref.utils.get_html('{}/playoffs/NBA_{}.html'.format(
                sportsref.nba.BASE_URL, self.yr)
            )
            is_past_season = True
        except ValueError:
            is_past_season = False

        if is_past_season:
            team_per_game = self.team_stats_per_game()
            n_reg_games = int(team_per_game.g.sum() // 2)
        else:
            n_reg_games = len(df)

        # subset appropriately based on `kind`
        if kind == 'P':
            return df.iloc[n_reg_games:]
        else:
            return df.iloc[:n_reg_games]
def schedule ( self , kind = 'R' ) : kind = kind . upper ( ) [ 0 ] dfs = [ ] # get games from each month for month in ( 'october' , 'november' , 'december' , 'january' , 'february' , 'march' , 'april' , 'may' , 'june' ) : try : doc = self . get_sub_doc ( 'games-{}' . format ( month ) ) except ValueError : continue table = doc ( 'table#schedule' ) df = sportsref . utils . parse_table ( table ) dfs . append ( df ) df = pd . concat ( dfs ) . reset_index ( drop = True ) # figure out how many regular season games try : sportsref . utils . get_html ( '{}/playoffs/NBA_{}.html' . format ( sportsref . nba . BASE_URL , self . yr ) ) is_past_season = True except ValueError : is_past_season = False if is_past_season : team_per_game = self . team_stats_per_game ( ) n_reg_games = int ( team_per_game . g . sum ( ) // 2 ) else : n_reg_games = len ( df ) # subset appropriately based on `kind` if kind == 'P' : return df . iloc [ n_reg_games : ] else : return df . iloc [ : n_reg_games ]
Returns a list of BoxScore IDs for every game in the season.
        Only needs to handle 'R' or 'P' options because decorator handles 'B'.

        :param kind: 'R' for regular season, 'P' for playoffs, 'B' for both.
            Defaults to 'R'.
        :returns: DataFrame of schedule information.
        :rtype: pd.DataFrame
Returns a list of BoxScore IDs for every game in the season . Only needs to handle R or P options because decorator handles B .