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Duplicate Column Names In Pandas: Updated
Latest   Machine Learning

Duplicate Column Names In Pandas: Updated

Last Updated on July 26, 2023 by Editorial Team

Author(s): Adam Ross Nelson

Originally published on Towards AI.

Pandas still permit duplicate column names, here is what you can do about it

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This article shows how easy it is to inadvertently generate a data frame in Pandas that has duplicate column names but without throwing an error. In an important update since an earlier article on the same topic, this article provides two ways to manage with or without duplicate column names.

Consider the following setup.

import pandas as pddata = {'first_name':['Adam','Tom','Sue','Pandi'], 'last_name':['Nelson','Jones','Pak','Sun'], 'topic_1':[1,2,1,1], 'topic_2':[2,2,2,1]}df = pd.DataFrame(data)

To produce the following data:

Image Credit: Data table generated by the author using the code in this article.

Then consider how you might decide to change the column… Read the full blog for free on Medium.

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