Series.items() ⚬ Entries

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Series.items() ⚬｜Documentation｜1st｜20251021141440-00-⌔

pandas.Series.items — pandas 2.3.3 documentation#pandas.Series.items

Series.items()

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

Printed 2026-06-28.

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