python del vs pandas drop

Question

I know it might be old debate, but out of pandas.drop and python del function which is better in terms of performance over large dataset?

I am

Answer 1

In drop method using "inplace=False" you have option to create Subset DF and keep un-touch the original DF, But in del I believe this option is not available.