How to GroupBy a Dataframe in Pandas and keep Columns

Question

given a dataframe that logs uses of some books like this:

Name   Type   ID
Book1  ebook  1
Book2  paper  2
Book3  paper  3
Book1  ebook  1
Book2  paper  2
         


        

Answer 1

I think as_index=False should do the trick.

df.groupby(['Name','Type','ID'], as_index=False).count()