Advance EDA #7 Set Limit and Limit Direction for Linear Interpolation in Python

Pandas interpolate limit and limit_direction are important parameters when handling missing values in Python. In this video, we learn how to control how many consecutive missing values Pandas should interpolate using limit and which direction missing values should be filled using limit_direction. We will understand limit, limit_direction="forward", limit_direction="backward", and limit_direction="both" with practical examples. This tutorial is part of our Advanced EDA with Python series, where we learn how to handle missing data while understanding the reasoning behind each preprocessing decision. In this video, we take a deeper look at the Pandas interpolate() method and learn how the limit and limit_direction parameters work. 📌 Topics covered: What is limit in Pandas interpolate()? How limit controls consecutive missing values What happens when limit=1, limit=2, etc. What is limit_direction? limit_direction="forward" limit_direction="backward" limit_direction="both" Why blindly filling all missing values can be dangerous. #Python #Pandas #EDA #DataScience #MissingData #Interpolation #DataAnalytics #limit_direction_pandas