Python Keep other columns when using sum() with groupby

Question

I have a pandas dataframe below:

    df

    name    value1    value2  otherstuff1 otherstuff2 
0   Jack       1         1       1.19        2.39     
1   Ja         


        

Answer 1

The key in the answer above is actually the as_index=False, otherwise all the columns in the list get used in the index.

p_summ = p.groupby( attributes_list, as_index=False ).agg( {'AMT':sum })