我正在使用python，并且我希望基于如下所示的结果表来总结两个团队的总体目标：
我将欲望输出放在各列（cumsumlocal和cumsumVisitor）中以进行更好的解释，我想通过seasson来累积每个团队的目标并进行比赛 注意，有两个不同的季节。因此，每个seasson的积聚必须是唯一的。
Seasson Match Local Visitor GoalLocal goalVisitor _-->cumsumLocal cumsumVisitor
-----------------------------------------------------------------------------------------
1 1 Machester Blackburn 2 1 _----> 2 1
1 1 Leeds arsenal 2 4 _----> 2 4
1 2 Blackburn Leeds 1 3 _----> 3 5
1 2 Arsenal Manchester 2 0 _----> 6 2
1 3 Leeds Manchester 6 1 _----> 11 3
1 3 Arsenal Blackburn 5 0 _---->
2 1 Machester Blackburn 3 1 _---->
2 1 Leeds arsenal 2 0 _---->
2 2 Blackburn Leeds 2 4 _---->
2 2 Arsenal Manchester 1 3 _---->
2 3 Leeds Manchester 2 0 _---->
2 3 Arsenal Blackburn 6 1 _---->
答案 0 :(得分：0)
我相信您需要-将_添加到列名称的第一步：
d = {'Local':'Team_Local','Visitor':'Team_Visitor',
'GoalLocal':'Goal_Local','goalVisitor':'Goal_Visitor'}
df = df.rename(columns=d)
print (df)
Seasson Match Team_Local Team_Visitor Goal_Local Goal_Visitor
0 1 1 Manchester Blackburn 2 1
1 1 1 Leeds Arsenal 2 4
2 1 2 Blackburn Leeds 1 3
3 1 2 Arsenal Manchester 2 0
4 1 3 Leeds Manchester 6 1
5 1 3 Arsenal Blackburn 5 0
6 2 1 Manchester Blackburn 3 1
7 2 1 Leeds Arsenal 2 0
8 2 2 Blackburn Leeds 2 4
9 2 2 Arsenal Manchester 1 3
10 2 3 Leeds Manchester 2 0
11 2 3 Arsenal Blackburn 6 1
通过MultiIndex创建split，然后通过stack重塑形状，并通过groupby=+cumsum创建新列，最后通过unstack重塑形状：
df = df.set_index(['Seasson','Match'], append=True)
df.columns = df.columns.str.split('_', expand=True)
df = df.stack()
#pandas 0.24+
df['Cum'] = df.groupby(['Seasson','Team'])['Goal'].cumsum()
#pandas lower
#df['Cum'] = df.reset_index().groupby(['Seasson','Team'])['Goal'].cumsum().values
df = df.unstack().reindex(['Team','Goal','Cum'], axis=1, level=0)
df.columns = df.columns.map('_'.join)
df = df.reset_index(level=0, drop=True).reset_index()
print (df)
Seasson Match Team_Local Team_Visitor Goal_Local Goal_Visitor \
0 1 1 Manchester Blackburn 2 1
1 1 1 Leeds Arsenal 2 4
2 1 2 Blackburn Leeds 1 3
3 1 2 Arsenal Manchester 2 0
4 1 3 Leeds Manchester 6 1
5 1 3 Arsenal Blackburn 5 0
6 2 1 Manchester Blackburn 3 1
7 2 1 Leeds Arsenal 2 0
8 2 2 Blackburn Leeds 2 4
9 2 2 Arsenal Manchester 1 3
10 2 3 Leeds Manchester 2 0
11 2 3 Arsenal Blackburn 6 1
Cum_Local Cum_Visitor
0 2 1
1 2 4
2 2 5
3 6 2
4 11 3
5 11 2
6 3 1
7 2 0
8 3 6
9 1 6
10 8 6
11 7 4