pandas.Series.items¶

Series.items(self) → Iterable[Tuple[Union[Hashable, NoneType], Any]][source]¶

Lazily iterate over (index, value) tuples.

This method returns an iterable tuple (index, value). This is convenient if you want to create a lazy iterator.

Returns

iterable: Iterable of tuples containing the (index, value) pairs from a Series.

See also

DataFrame.items: Iterate over (column name, Series) pairs.
DataFrame.iterrows: Iterate over DataFrame rows as (index, Series) pairs.

Examples

>>> s = pd.Series(['A', 'B', 'C'])
>>> for index, value in s.items():
...     print(f"Index : {index}, Value : {value}")
Index : 0, Value : A
Index : 1, Value : B
Index : 2, Value : C