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

Something like ?(Assuming you have same otherstuff1 and otherstuff2 under the same name )

df.groupby(['name','otherstuff1','otherstuff2'],as_index=False).sum()
Out[121]: 
   name  otherstuff1  otherstuff2  value1  value2
0  Jack         1.19         2.39       2       3
1  Luke         1.08         1.08       1       1
2  Mark         3.45         3.45       0       1