def add(self, term, name, overwrite=False):
        """
        Add a column.

        The results of computing `term` will show up as a column in the
        DataFrame produced by running this pipeline.

        Parameters
        ----------
        column : zipline.pipeline.Term
            A Filter, Factor, or Classifier to add to the pipeline.
        name : str
            Name of the column to add.
        overwrite : bool
            Whether to overwrite the existing entry if we already have a column
            named `name`.
        """
        self.validate_column(name, term)

        columns = self.columns
        if name in columns:
            if overwrite:
                self.remove(name)
            else:
                raise KeyError("Column '{}' already exists.".format(name))

        if not isinstance(term, ComputableTerm):
            raise TypeError(
                "{term} is not a valid pipeline column. Did you mean to "
                "append '.latest'?".format(term=term)
            )

        self._columns[name] = term
def add ( self , term , name , overwrite = False ) : self . validate_column ( name , term ) columns = self . columns if name in columns : if overwrite : self . remove ( name ) else : raise KeyError ( "Column '{}' already exists." . format ( name ) ) if not isinstance ( term , ComputableTerm ) : raise TypeError ( "{term} is not a valid pipeline column. Did you mean to " "append '.latest'?" . format ( term = term ) ) self . _columns [ name ] = term
Add a column.

        The results of computing `term` will show up as a column in the
        DataFrame produced by running this pipeline.

        Parameters
        ----------
        column : zipline.pipeline.Term
            A Filter, Factor, or Classifier to add to the pipeline.
        name : str
            Name of the column to add.
        overwrite : bool
            Whether to overwrite the existing entry if we already have a column
            named `name`.