Group By pandas dataframe and keep earliest date from one column and the latest date from another column in Python

I have the following data:

id   start_date   end_date
1    2023-01-01   2023-02-02
1    2023-02-05   2023-02-15
1    2023-02-16   2023-03-14

How can I group by id and keep the earliest date from start_date and the latest from end_date . E.g.

id   start_date   end_date
1    2023-01-01   2023-03-14

>Solution :

max and min work fine for dates. Use:

df2 = df.groupby('id').agg({'start_date': min, 'end_date': max}).reset_index()

to give:

   id  start_date    end_date
0   1  2023-01-01  2023-03-14