FAQ: Modifying DataFrames - Renaming Columns

This community-built FAQ covers the “Renaming Columns” exercise from the lesson “Modifying DataFrames”.

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This exercise can be found in the following Codecademy content:

Data Science

Data Analysis with Pandas

FAQs on the exercise Renaming Columns

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““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.

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.


Must all dataframes be named “df”? If not, why use only this in your examples? After so many repetitions it tends to look like a rule

I have a doubt.How to change a single column name without typing the entire df.columns ???

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