Drop multiple columns in pandas

Question

I am trying to drop multiple columns (column 2 and 70 in my data set, indexed as 1 and 69 respectively) by index number in a pandas data frame with the following code:

Answer 1

Try this

df.drop(df.iloc[:, 1:69], inplace=True, axis=1)

This works for me

Answer 2

You don't need to wrap it in a list with [..], just provide the subselection of the columns index:

df.drop(df.columns[[1, 69]], axis=1, inplace=True)

as the index object is already regarded as list-like.