Pandas group by and sum two columns

Question

Beginner question. This seems like it should be a straightforward operation, but I can't figure it out from reading the docs.

I have a df with this structure:

|integer_id|int_field_1|int_field_2|

The integer_id column is non-unique, so I'd like to group the df by integer_id and sum the two fields.

The equivalent SQL is:

SELECT integer_id, SUM(int_field_1), SUM(int_field_2) FROM tbl
GROUP BY integer_id

Any suggestions on the simplest way to do this?

EDIT: Including input/output

Input:  
integer_id  int_field_1 int_field_2   
2656        36          36  
2656        36          36  
9702        2           2  
9702        1           1  

Ouput using df.groupby('integer_id').sum():

integer_id  int_field_1 int_field_2  
2656        72          72  
9702        3           3  

Answer 1

You just need to call sum on a groupby object:

df.groupby('integer_id').sum()

See the docs for further examples