modin.pandas.Series.items¶

Series.items()[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 of tuples containing the (index, value) pairs from a Series.

Return type:

Iterable

See also

DataFrame.items

Iterate over (column name, Series) pairs.

DataFrame.iterrows

Iterate over DataFrame rows as (index, Series) pairs.

Notes

  1. Iterating over rows is an antipattern in Snowpark pandas and pandas. Use Series.apply() or other aggregation methods when possible instead of iterating over a Series. Iterators and for loops do not scale well.

  2. You should never modify something you are iterating over. This will not work. The iterator returns a copy of the data and writing to it will have no effect.

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
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