FAQ: Modifying DataFrames - Applying a Lambda to a Row


#1

This community-built FAQ covers the “Applying a Lambda to a Row” exercise from the lesson “Modifying DataFrames”.

Paths and Courses
This exercise can be found in the following Codecademy content:

Data Science

Data Analysis with Pandas

FAQs on the exercise Applying a Lambda to a Row

Join the Discussion. Help a fellow learner on their journey.

Ask or answer a question about this exercise by clicking reply (reply) below!

Agree with a comment or answer? Like (like) to up-vote the contribution!

Need broader help or resources? Head here.

Looking for motivation to keep learning? Join our wider discussions.

Learn more about how to use this guide.

Found a bug? Report it!

Have a question about your account or billing? Reach out to our customer support team!

None of the above? Find out where to ask other questions here!


#2

When do I use row[‘hourly_wage’] to access a cell’s data vs row.hourly_wage?


#3

I have the same question. I am also curious as to why we need to include “axis = 1” when that was not necessary in the previous exercise when we created a new column with:

df[‘last name’] = df.name.apply(lamba x:x.split (’’)[-1])