我有这个测向仪:
round_id team opponent home_dummy GC GP P
0 1.0 Flamengo Atlético-MG 1.0 1.0 0.0 0
1 4.0 Flamengo Grêmio 1.0 1.0 1.0 1
2 5.0 Flamengo Botafogo 1.0 1.0 1.0 1
3 6.0 Flamengo Santos 0.0 0.0 1.0 3
4 7.0 Flamengo Bahia 0.0 3.0 5.0 3
5 8.0 Flamengo Fortaleza 1.0 1.0 2.0 3
6 9.0 Flamengo Fluminense 0.0 1.0 2.0 3
7 10.0 Flamengo Ceará 0.0 2.0 0.0 0
8 3.0 Flamengo Coritiba 0.0 0.0 1.0 3
9 11.0 Flamengo Goiás 1.0 1.0 2.0 3
10 13.0 Flamengo Athlético-PR 1.0 1.0 3.0 3
11 14.0 Flamengo Sport 1.0 0.0 3.0 3
12 15.0 Flamengo Vasco 0.0 1.0 2.0 3
13 16.0 Flamengo Bragantino 1.0 1.0 1.0 1
14 17.0 Flamengo Corinthians 0.0 1.0 5.0 3
15 18.0 Flamengo Internacional 0.0 2.0 2.0 1
16 19.0 Flamengo São Paulo 1.0 4.0 1.0 0
17 12.0 Flamengo Palmeiras 0.0 1.0 1.0 1
18 2.0 Flamengo Atlético-GO 0.0 3.0 0.0 0
19 20.0 Flamengo Atlético-MG 0.0 4.0 0.0 0
rodada_id clube opponent home_dummy GC GP P last_5
0 1.0 Flamengo Atlético-MG 1.0 1.0 0.0 0 0
1 4.0 Flamengo Grêmio 1.0 1.0 1.0 1 0
2 5.0 Flamengo Botafogo 1.0 1.0 1.0 1 1
3 6.0 Flamengo Santos 0.0 0.0 1.0 3 2
4 7.0 Flamengo Bahia 0.0 3.0 5.0 3 5
5 8.0 Flamengo Fortaleza 1.0 1.0 2.0 3 8
6 9.0 Flamengo Fluminense 0.0 1.0 2.0 3 11
7 10.0 Flamengo Ceará 0.0 2.0 0.0 0 13
8 3.0 Flamengo Coritiba 0.0 0.0 1.0 3 12
9 11.0 Flamengo Goiás 1.0 1.0 2.0 3 12
10 13.0 Flamengo Athlético-PR 1.0 1.0 3.0 3 12
11 14.0 Flamengo Sport 1.0 0.0 3.0 3 12
12 15.0 Flamengo Vasco 0.0 1.0 2.0 3 12
13 16.0 Flamengo Bragantino 1.0 1.0 1.0 1 15
14 17.0 Flamengo Corinthians 0.0 1.0 5.0 3 13
15 18.0 Flamengo Internacional 0.0 2.0 2.0 1 11
16 19.0 Flamengo São Paulo 1.0 4.0 1.0 0 8
17 12.0 Flamengo Palmeiras 0.0 1.0 1.0 1 8
18 2.0 Flamengo Atlético-GO 0.0 3.0 0.0 0 6
19 20.0 Flamengo Atlético-MG 0.0 4.0 0.0 0 5
请注意,在索引4(n=5)之前,总和必须是最后1、2、3、4行的总和。
N = 5
df = df.groupby(df.P // N).sum()
但这行不通。