Pandas DataFrame: rename_axis() function
DataFrame - rename_axis() function
The rename_axis() function is used to set the name of the axis for the index or columns.
Syntax:
DataFrame.rename_axis(self, mapper=None, index=None, columns=None, axis=None, copy=True, inplace=False)
Parameters:
| Name | Description | Type/Default Value | Required / Optional |
|---|---|---|---|
| mapper |
|
scalar, list-like | Optional |
| index, columns | A scalar, list-like, dict-like or functions transformations to apply to that axis’ values. Use either mapper and axis to specify the axis to target with mapper, or index and/or columns |
scalar, list-like, dict-like or function | Optional |
| axis | The axis to rename. | {0 or ‘index’, 1 or ‘columns’} Default Value: 0 |
Required |
| copy | Also copy underlying data. | bool Default Value: True |
Required |
| inplace | Modifies the object directly, instead of creating a new Series or DataFrame. | bool Default Value: False |
Required |
Returns: Series, DataFrame, or None
The same type as the caller or None if inplace is True.
Example:
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