I have a simple dataset in the form of:
author_id,Publisher,Title
1,Archie Publications,Archie
1,Marvel,A-Team
1,NOW,The Green Hornet
2,Archie Publications,Betty & Veronica
2,Marvel,Absolute Carnage
2,NOW,Little Monsters
2,NOW,The Green Hornet
2,NOW,Kata
3,Archie Publications,Archie & Jughead
3,Marvel,Absolute Carnage
3,NOW,Fright Night
4,Archie Publications,Archie
4,Archie Publications,Jughead
4,Marvel,A+X
5,Marvel,A-Next
5,NOW,The Green Hornet
5,NOW,Little Monsters
I can read this successfully using df3=pandas.read_csv("comics.csv",index_col=['author_id','Publisher']), and that gives me the (expected) dataframe:
What I would like is to "combine" the rows into a new column, call it titles, so that the resultant dataframe is in the form of:
author_id publisher titles
1 Archie Publications [Archie]
1 Marvel [A-Team]
1 NOW [The Green Hornet]
2 Archie Publications [Betty & Veronica]
2 Marvel [Absolute Carnage]
3 NOW [Little Monsters, The Green Hornet, Kata]
...
4 Archie Publications [Archie, Jughead]
...
E.g. for Author #2, they worked on 3 titles for NOW, so I'd like a list of those titles in the new column "titles".
I'm at a loss as to how to do this transformation..any suggestions?
