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Drop Duplicate Row

Explore how to detect and drop duplicate rows in a Pandas DataFrame. Learn to use duplicated to check duplicates in whole rows or selected columns, and apply drop_duplicates with options to keep specific duplicates or remove them all for cleaner data.

Removing duplicate rows from a dataset is a very common task during data cleaning. Sometimes the row is dropped when the whole row is a duplicate. In other cases, we only drop those rows based on selected columns.

pandas provides a powerful and handy function, drop_duplicates. Let’s see how to use it.

Check if there are duplicate rows in the DataFrame

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