def evaluate(self, verbose=False, decode=True, passes=None, num_threads=1, apply_experimental=True):
        """Evaluates by creating a MultiIndex containing evaluated data and index.

        See `LazyResult`

        Returns
        -------
        MultiIndex
            MultiIndex with evaluated data.

        """
        evaluated_data = [v.evaluate(verbose, decode, passes, num_threads, apply_experimental) for v in self.values]

        return MultiIndex(evaluated_data, self.names)
def evaluate ( self , verbose = False , decode = True , passes = None , num_threads = 1 , apply_experimental = True ) : evaluated_data = [ v . evaluate ( verbose , decode , passes , num_threads , apply_experimental ) for v in self . values ] return MultiIndex ( evaluated_data , self . names )
Evaluates by creating a MultiIndex containing evaluated data and index.

        See `LazyResult`

        Returns
        -------
        MultiIndex
            MultiIndex with evaluated data.