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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jezinho
January 18, 2019, 11:36am
#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.
jezinho
January 18, 2019, 11:42am
#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.
2 Likes
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 ???
1 Like