pandas 1.4.2

Returns
iteritems(self) -> 'Iterable[tuple[Hashable, Any]]'

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.

Lazily iterate over (index, value) tuples.

See Also

DataFrame.items

Iterate over (column name, Series) pairs.

DataFrame.iterrows

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

Examples

This example is valid syntax, but we were not able to check execution
>>> 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
See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /pandas/core/series.py#1691
type: <class 'function'>
Commit: