How to Remove Duplicate Rows in Pandas Dataframe? Pandas Duplicated function in Python

In this video, we're going to discuss how to remove or drop duplicate rows in Pandas DataFrame with the help of live examples. We will be using the Pandas drop_duplicates() method for removing duplicates from the data frame. So, let's get started.

You may want to know if you have duplicate values in your DataFrame or Series. That's where Pandas Duplicated or pd.Series.Duplicated() comes in.

You use pandas duplicated when you want to remove repeat value, or flag them for further analysis.

But you may want to treat your duplicates differently. Do you know want to know about the first duplicate? or the last? Pandas lets you pick. However, it's a bit counter intuitive, let's look at the options.

* Method 1 - Keep='First': For when you want to mark all duplicates as true...EXCEPT for the first one.
* Method 2 - Keep='Last': For when you want to mark all duplicates as true...EXCEPT for the last one.
* Method 3 - Keep=False: For when you want to mark all duplicates as true.