def iteritems(self):
if self.columns.is_unique and hasattr(self, '<STR_LIT>'):<EOL><INDENT>for k in self.columns:<EOL><INDENT>yield k, self._get_item_cache(k)<EOL><DEDENT><DEDENT>else:<EOL><INDENT>for i, k in enumerate(self.columns):<EOL><INDENT>yield k, self._ixs(i, axis=<NUM_LIT:1>)<EOL><DEDENT><DEDENT>
r"""
        Iterator over (column name, Series) pairs.

        Iterates over the DataFrame columns, returning a tuple with
        the column name and the content as a Series.

        Yields
        ------
        label : object
            The column names for the DataFrame being iterated over.
        content : Series
            The column entries belonging to each label, as a Series.

        See Also
        --------
        DataFrame.iterrows : Iterate over DataFrame rows as
            (index, Series) pairs.
        DataFrame.itertuples : Iterate over DataFrame rows as namedtuples
            of the values.

        Examples
        --------
        >>> df = pd.DataFrame({'species': ['bear', 'bear', 'marsupial'],
        ...                   'population': [1864, 22000, 80000]},
        ...                   index=['panda', 'polar', 'koala'])
        >>> df
                species   population
        panda 	bear 	  1864
        polar 	bear 	  22000
        koala 	marsupial 80000
        >>> for label, content in df.iteritems():
        ...     print('label:', label)
        ...     print('content:', content, sep='\n')
        ...
        label: species
        content:
        panda         bear
        polar         bear
        koala    marsupial
        Name: species, dtype: object
        label: population
        content:
        panda     1864
        polar    22000
        koala    80000
        Name: population, dtype: int64