Is there any difference between using Dataframe.columns and Dataframe.keys() to obtain the column names?

Question

For the sake of curiosity is there any practical difference between getting the column names of a DataFrame (let's say df) by using df.columns or df.keys()?

I've checked the outs by type and it seems to be exactly the same. Am I missing something or these two methods are just as redundant as it seems? Is one more appropriate to use than the other?

Thanks.

Answer 1

one difference I noticed That you can Use .keys() with Series but You can not use .columns with Series .