Finding and Removing Duplicate Rows in Pandas DataFrame

Finding and Removing Duplicate Rows in Pandas DataFrame

Pandas tips and tricks to help you get started with data analysis. In this article, you’ll learn the two methods, duplicated() and drop_duplicates(), for finding and removing duplicate rows, as well as how to modify their behavior to suit your specific needs

In data preprocessing and analysis, you will often need to figure out whether you have duplicate data and how to deal with them.

In this article, you’ll learn the two methods, duplicated() and drop_duplicates(), for finding and removing duplicate rows, as well as how to modify their behavior to suit your specific needs. This article is structured as follows:

  1. Finding duplicate rows
  2. Counting duplicate and non-duplicate rows
  3. Extracting duplicate rows with loc
  4. Determining which duplicates to mark with keep
  5. Dropping duplicate rows

remove-duplicates python data-analysis pandas data-science

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