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

You should specify what pandas must do with the other columns. In your case, I think you want to keep one row, regardless of its position within the group.

This could be done with agg on a group. agg accepts a parameter that specifies what operation should be performed for each column.

df.groupby(['name'], as_index=False).agg({'value1': 'sum', 'value2': 'sum', 'otherstuff1': 'first', 'otherstuff2': 'first'})