Pandas DataFrame: set_axis() function

Last update on August 19 2022 21:50:52 (UTC/GMT +8 hours)

DataFrame - set_axis() function

The set_axis() function is used to assign desired index to given axis.

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

Syntax:

DataFrame.set_axis(self, labels, axis=0, inplace=None)

Parameters:

Name	Description	Type/Default Value	Required / Optional
labels	The values for the new index.	list-like, Index	Required
axis	The axis to update. The value 0 identifies the rows, and 1 identifies the columns.	{0 or ‘index’, 1 or ‘columns’} Default Value: 0	Required
inplace	Whether to return a new %(klass)s instance.	bool Default Value: None	Required

Returns: renamed - %(klass)s or None
An object of same type as caller if inplace=False, None otherwise.

Example:

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