Python for Excel Users: A Beginner’s Guide by Chou Chi-Chun & Wang David

Author:Chou, Chi-Chun & Wang, David
Language: eng
Format: epub
Publisher: Taylor & Francis Group
Published: 2025-08-04T16:34:18+00:00

• Side Note – The inplace Parameter

In Pandas, the inplace parameter is used in several methods to control whether the operation should modify the original DataFrame or Series, or return a new object with the modifications. When inplace=True, the operation is performed in-place, meaning the original object is modified directly. When inplace=False (which is the default), the method returns a new object with the modifications, and the original object remains unchanged.

Below are some examples of Pandas methods that use the inplace parameter:

rename(): Alters axes labels (index or columns) of the DataFrame.

drop(): Drops specified labels from rows or columns.

reindex(): Resets the index of the DataFrame.

sort_values(): Sorts a DataFrame or Series by values.

fillna(): Fills missing values (NaN) in the DataFrame or Series.

drop_duplicates(): Removes duplicate rows from the DataFrame.

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