FAQ: Modifying DataFrames - Renaming Columns

#1

Community%20FAQs%20on%20Codecademy%20Exercises
Community FAQs on Codecademy Exercises.jpeg1000×208 141 KB

This community-built FAQ covers the “Renaming Columns” 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 Renaming Columns

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

““so that we can use df.column_name (which tab-completes) rather than df['column_name'] (which takes up extra space).”” says the explanation.

What does that mean? I don’t understand “tab-completes”, or why the name of the column is actually identical in both references.

#3

OK. I looked up tab-completion and I think I get it - python helps you more with .attribute than with [item], plus you don’t need brackets or quotes. It might be more helpful to have an actual space in the df[‘column name’] rather than df[‘column_name’]] version to remind that you cannot use .attribute with a column name containing a space.