根据不同列中的其他2个值汇总一列的值

Question

I'm using jupyter notebook to visualize some data with python. I got a dataframe with following columns: matchid, player, visionscore, win

given table

Now i want to sum up the visionscore. For every matchid there are 10 entries given, which go from player 1 to 10 (player 1-5 = team 1, 6-10 = team 2) and each player has it's own visionscore. Now i want to have something like this:

expected result

Obviously im new to data analytics. I allready have a table where the visionscore/matchid is summed up, but unfortunately there is no seperation between the teams. So it's the whole visionscore for the game.

table i allready got

Answer 1

I randomly generated data, but I think this should work.

df['team'] = [1 if p<=5 else 2 for p in df.player]
df.groupby(['matchid', 'team'])['visionscore', 'win'].sum()

---

matchid team    visionscore win
10      1       274         3
10      2       124         3
11      1       416         3
11      2       89          0