Answer Posted / Amit Agrawal

In Python's Pandas library, you can use the `drop_duplicates()` function to remove duplicated rows based on one or more columns. If you want to keep the duplicates but assign a unique identifier, you can use the `duplicated()` function and then merge with a sequential counter.

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