Pandas get topmost n records within each group

Question

Suppose I have pandas DataFrame like this:

>>> df = pd.DataFrame({\'id\':[1,1,1,2,2,2,2,3,4],\'value\':[1,2,3,1,2,3,4,1,1]})
>>> df
   id           


        

Answer 1

Did you try df.groupby('id').head(2)

Ouput generated:

>>> df.groupby('id').head(2)
       id  value
id             
1  0   1      1
   1   1      2 
2  3   2      1
   4   2      2
3  7   3      1
4  8   4      1

(Keep in mind that you might need to order/sort before, depending on your data)

EDIT: As mentioned by the questioner, use df.groupby('id').head(2).reset_index(drop=True) to remove the multindex and flatten the results.

>>> df.groupby('id').head(2).reset_index(drop=True)
    id  value
0   1      1
1   1      2
2   2      1
3   2      2
4   3      1
5   4      1