xorbits.pandas.Series.items#

Series.items(batch_size=10000, session=None)[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.

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

This docstring was copied from pandas.core.series.Series.