def evaluate(self, verbose=True, passes=None):
        """Summary

        Returns:
            TYPE: Description
        """
        i = 0
        exprs = []
        for column_name in self.column_names:
            if len(self.column_names) > 1:
                index = "1.$%d" % i
            else:
                index = "1"
            expr = self.get_column(
                column_name,
                self.column_types[i],
                index,
                verbose=verbose
            )
            i += 1
            exprs.append(expr)

        i = 0
        for column_name in self.grouping_column_name:
            if len(self.grouping_column_name) > 1:
                index = "0.$%d" % i
            else:
                index = "0"
            expr = self.get_column(
                column_name,
                self.grouping_column_types[i],
                index,
                verbose=verbose
            )
            exprs.append(expr)
            i += 1

        result = utils.group(exprs).evaluate(verbose=verbose, passes=passes)
        df = pd.DataFrame(columns=[])
        all_columns = self.column_names + self.grouping_column_name
        for i, column_name in enumerate(all_columns):
            df[column_name] = result[i]
        return dataframeweld.DataFrameWeld(df)
def evaluate ( self , verbose = True , passes = None ) : i = 0 exprs = [ ] for column_name in self . column_names : if len ( self . column_names ) > 1 : index = "1.$%d" % i else : index = "1" expr = self . get_column ( column_name , self . column_types [ i ] , index , verbose = verbose ) i += 1 exprs . append ( expr ) i = 0 for column_name in self . grouping_column_name : if len ( self . grouping_column_name ) > 1 : index = "0.$%d" % i else : index = "0" expr = self . get_column ( column_name , self . grouping_column_types [ i ] , index , verbose = verbose ) exprs . append ( expr ) i += 1 result = utils . group ( exprs ) . evaluate ( verbose = verbose , passes = passes ) df = pd . DataFrame ( columns = [ ] ) all_columns = self . column_names + self . grouping_column_name for i , column_name in enumerate ( all_columns ) : df [ column_name ] = result [ i ] return dataframeweld . DataFrameWeld ( df )
Summary

        Returns:
            TYPE: Description