(self, name)
return deconstruct_numpy(data, mask)
For columnar datasets, return the :obj:`list`/Numpy array that
        contains the data for a single column.

        Args:
            name (:obj:`str`): the column name to look up

        Returns:
            (:obj:`list`/numpy.array/None): returns the column's data, or None
                if it cannot be found.
For columnar datasets, return the :obj:`list`/Numpy array that
        contains the data for a single column.
For columnar datasets return the : obj : list / Numpy array that contains the data for a single column .
def _get_numpy_column(self, name):
        """For columnar datasets, return the :obj:`list`/Numpy array that
        contains the data for a single column.

        Args:
            name (:obj:`str`): the column name to look up

        Returns:
            (:obj:`list`/numpy.array/None): returns the column's data, or None
                if it cannot be found.
        """
        data = self._data_or_schema.get(name, None)
        if data is None:
            raise PerspectiveError("Column `{0}` does not exist.".format(name))
        mask = self._numpy_column_masks.get(name, None)
        return deconstruct_numpy(data, mask)
def _get_numpy_column ( self , name ) : data = self . _data_or_schema . get ( name , None ) if data is None : raise PerspectiveError ( "Column `{0}` does not exist." . format ( name ) ) mask = self . _numpy_column_masks . get ( name , None ) return deconstruct_numpy ( data , mask )