Python Pandas Tamil Tutorial | Pandas Apply Function Tamil #9
In this Python Pandas Tamil Tutorial Episode 09, I explained the apply() function in a beginner-friendly way using a real dataset.
✍You will learn how to use apply() for rows and columns, how to create custom lambda functions, and how to apply your own logic just like Excel formulas — but with the full power of Python!
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We’ll cover:
✅ What is apply() in Pandas
✅ Difference between axis=0 and axis=1
✅ Using built-in functions (mean, max, etc.)
✅ Custom lambda functions for conditional logic
✅ Applying your own functions (UDFs)
✅ Practical examples – student performance dataset
✅ Real-time use case: Performance labeling, data transformation
By the end of this video, you’ll be confident in using apply() for data cleaning, analysis, and feature engineering — a key skill for data analysts and data scientists.
📘 Topics Covered:
00:00 Introduction: Pandas Apply Function Tamil
00:38 What is Pandas Apply Function in Tamil
04:22 Example 1: Applying a built-in function to columns
09:11 Example 2: Apply on each row: average student performance
14:48 Example 3: Apply with a custom lambda function
21:46 Example 3 with User Defined Function
27:04 Example 4: Apply a custom user-defined function (UDF)
34:49 Example 5: Column-wise apply with string methods
37:44 Next Video
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