xorbits.pandas.Series.set_axis#

Series.set_axis(labels, axis=0, copy=True)#

Assign desired index to given axis.

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

Parameters

  • labels (list-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.

  • copy (bool, default True) –

    Whether to make a copy of the underlying data.

    New in version 1.5.0(pandas).

Returns

An object of type Series.

Return type

Series

See also

Series.rename_axis

Alter the name of the index. Examples ——– >>> s = pd.Series([1, 2, 3]) # doctest: +SKIP >>> s # doctest: +SKIP 0 1 1 2 2 3

dtype

int64 >>> s.set_axis([‘a’, ‘b’, ‘c’], axis=0) # doctest: +SKIP a 1 b 2 c 3

dtype

int64

This