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Pandas DataFrame rename() Method

❮ DataFrame Reference


Example

Rename the row indexes of the DataFrame:

import pandas as pd

data = {
"age": [50, 40, 30],
"qualified": [True, False, False]
}
idx = ["Sally", "Mary", "John"]
df = pd.DataFrame(data, index=idx)

newdf = df.rename({"Sally": "Pete", "Mary": "Patrick", "John": "Paula"})

print(newdf)
Try it Yourself »

Definition and Usage

The rename() method allows you to change the row indexes, and the columns labels.


Syntax

dataframe.rename(mapper, index, columns, axis, copy, inplace, level, errors)

Parameters

The index, columns, axis, copy, inplace, level , errors parameters are keyword arguments.

Parameter Value Description
mapper   Optional. A dictionary where the old index/label is the key and the new index/label is the value
index old and new indexes as key/value pairs Optional. A dictionary where the old index is the key and the new index is the value
columns old and new labels as key/value pairs Optional. A dictionary where the old label is the key and the new label is the value
axis 0
1
'index'
'columns'
Optional, default 0. The axis to perform the renaming (important if the mapper parameter is present and index or columns are not)
copy True
False
Optional, default True. Whether to also copy underlying data or not
inplace True
False
Optional, default False. If True: the operation is done on the current DataFrame. If False: returns a copy where the operation is done.
level Number
Label
Optional, specifies which level to rename when working with MultiIndex DataFrames
errors 'ignore'
'raise'
Optional, default 'ignore'. Specifies whether or not to return an error if no such index/label is present in the DataFrame

Return Value

A DataFrame with the result, or None if the inplace parameter is set to True.

This function does NOT make changes to the original DataFrame object.


❮ DataFrame Reference