def all(self, **kwargs):
        """Returns whether all the elements are true, potentially over an axis.

        Return:
            A new QueryCompiler object containing boolean values or boolean.
        """
        if self._is_transposed:
            # Pandas ignores on axis=1
            kwargs["bool_only"] = False
            kwargs["axis"] = kwargs.get("axis", 0) ^ 1
            return self.transpose().all(**kwargs)
        return self._process_all_any(lambda df, **kwargs: df.all(**kwargs), **kwargs)
def all ( self , ** kwargs ) : if self . _is_transposed : kwargs [ "bool_only" ] = False kwargs [ "axis" ] = kwargs . get ( "axis" , 0 ) ^ 1 return self . transpose ( ) . all ( ** kwargs ) return self . _process_all_any ( lambda df , ** kwargs : df . all ( ** kwargs ) , ** kwargs )
Returns whether all the elements are true, potentially over an axis.

        Return:
            A new QueryCompiler object containing boolean values or boolean.