def to_workspace_value(self, result, assets):
        """
        Called with the result of a pipeline. This needs to return an object
        which can be put into the workspace to continue doing computations.

        This is the inverse of :func:`~zipline.pipeline.term.Term.postprocess`.
        """
        if self.dtype == int64_dtype:
            return super(Classifier, self).to_workspace_value(result, assets)

        assert isinstance(result.values, pd.Categorical), (
            'Expected a Categorical, got %r.' % type(result.values)
        )
        with_missing = pd.Series(
            data=pd.Categorical(
                result.values,
                result.values.categories.union([self.missing_value]),
            ),
            index=result.index,
        )
        return LabelArray(
            super(Classifier, self).to_workspace_value(
                with_missing,
                assets,
            ),
            self.missing_value,
        )
def to_workspace_value ( self , result , assets ) : if self . dtype == int64_dtype : return super ( Classifier , self ) . to_workspace_value ( result , assets ) assert isinstance ( result . values , pd . Categorical ) , ( 'Expected a Categorical, got %r.' % type ( result . values ) ) with_missing = pd . Series ( data = pd . Categorical ( result . values , result . values . categories . union ( [ self . missing_value ] ) , ) , index = result . index , ) return LabelArray ( super ( Classifier , self ) . to_workspace_value ( with_missing , assets , ) , self . missing_value , )
Called with the result of a pipeline. This needs to return an object
        which can be put into the workspace to continue doing computations.

        This is the inverse of :func:`~zipline.pipeline.term.Term.postprocess`.