Question:

Which of the following Python statements is used to change a column label in a DataFrame, df ?

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Always use a dictionary inside rename() to change column names, and specify axis properly.

Updated On: Jul 14, 2025

df = df.rename(old_name : new_name, axis='columns')
df = df.rename(old_name, new_name), axis='columns'
df = df.change_name(old_name, new_name, axis='bar')
df = df.update(old_name : new_name, axis='bar')

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The Correct Option is A

Solution and Explanation

In Python Pandas, the standard way to change a column name is by using the rename() method.
This method allows you to pass a dictionary that maps the old column name to the new column name.
You must also specify axis='columns' or axis=1 to indicate that the renaming is for column labels.
So the syntax looks like: df = df.rename({old_name : new_name}, axis='columns').
Option (B) is invalid because rename() does not accept positional arguments like old_name and new_name separately.
Option (C) is invalid because there is no method called change_name() in Pandas.
Option (D) is invalid because update() does not rename columns; it updates data values.
Therefore, the correct way to rename a column is option (A).

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- CBSE CLASS XII - 2025
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