pandas.DataFrame.drop_duplicates — pandas 2.3.3 documentation
To remove duplicates on specific column (s), use subset. To remove duplicates and keep last occurrences, use keep.
Pandas dataframe.drop_duplicates () - GeeksforGeeks
Jul 26, 2025 · By default, it scans the entire DataFrame and retains the first occurrence of each row and removes any duplicates that follow. In this article, we will see how to use the drop_duplicates () …
Pandas Drop_duplicates (): Remove Duplicate Rows - Python Guides
May 27, 2025 · In this guide, I will cover several ways you can use pandas’ drop_duplicates () function to efficiently remove duplicate rows in Python (with examples for different scenarios).
Pandas DataFrame drop_duplicates () Method - W3Schools
Definition and Usage The drop_duplicates() method removes duplicate rows. Use the subset parameter if only some specified columns should be considered when looking for duplicates.
Pandas Drop Duplicate Rows in DataFrame - Spark By Examples
Jun 30, 2025 · In this article, we’ll explain several ways of dropping duplicate rows from Pandas DataFrame with examples by using functions like DataFrame.drop_duplicates(), DataFrame.apply() …
Python Pandas drop_duplicates () Simplified - PyTutorial
Dec 8, 2024 · Learn how to use Python Pandas drop_duplicates () to remove duplicate rows from DataFrames. Practical examples and best practices for data cleaning.
pandas: Find, count, drop duplicates (duplicated, drop ...
Jan 26, 2024 · In pandas, the duplicated() method is used to find, extract, and count duplicate rows in a DataFrame, while drop_duplicates() is used to remove these duplicates. This article also briefly …