python pandas two columns same name

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Title: Handling Duplicate Column Names in Python Pandas: A Comprehensive Tutorial
Introduction:
In Python Pandas, working with data often involves dealing with columns, and occasionally, you might encounter scenarios where two columns share the same name. This tutorial aims to provide a comprehensive guide on how to handle and manage such situations using Python Pandas.
Let's start by creating a DataFrame with two columns having the same name:
Note that the 'Name' column appears twice in the dictionary, which will result in two columns with the same name in the DataFrame.
Pandas allows you to check for duplicate column names using the duplicated function:
To distinguish between columns with the same name, you can rename them using the rename function:
When accessing columns with duplicate names, you can use either the dot notation or square brackets:
If the intention is to combine the information from duplicate columns, you can merge them using the concat function:
Handling duplicate column names in Python Pandas is essential for maintaining a clean and organized dataset. This tutorial covered identifying, renaming, and accessing columns with duplicate names, as well as merging them when necessary. Apply these techniques to efficiently work with datasets containing columns that share the same name.
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