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pandas.Series.set_axis — pandas 2.3.1 documentation

Series.set_axis(labels, *, axis=0, copy=None)[source]#

Assign desired index to given axis.

Indexes for row labels can be changed by assigning a list-like or Index.

Parameters:

labelslist-like, Index

The values for the new index.

axis{0 or ‘index’}, default 0

The axis to update. The value 0 identifies the rows. For Series this parameter is unused and defaults to 0.

copybool, default True

Whether to make a copy of the underlying data.

Note

The copy keyword will change behavior in pandas 3.0. Copy-on-Write will be enabled by default, which means that all methods with a copy keyword will use a lazy copy mechanism to defer the copy and ignore the copy keyword. The copy keyword will be removed in a future version of pandas.

You can already get the future behavior and improvements through enabling copy on write pd.options.mode.copy_on_write = True

Returns:

Series

An object of type Series.

Examples

>>> s = pd.Series([1, 2, 3])
>>> s
0    1
1    2
2    3
dtype: int64

>>> s.set_axis(['a', 'b', 'c'], axis=0)
a    1
b    2
c    3
dtype: int64

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