如何在不对索引进行排序的情况下执行 groupy.apply()？

Question

我有如下数据：

myData = pd.DataFrame({'K':[810,820,825,830,840,855,842,823],'Type':
['C','C','P','P','C','B','A','B'],'S':[978,978,978,978,978,966,925,923],'R':
[0.05,0.05,0.05,0.05,0.05,0.03,0.04,0.05]})


    K   R   S   Type
0   810 0.05    978 C
1   820 0.05    978 C
2   825 0.05    978 P
3   830 0.05    978 P
4   840 0.05    978 C
5   855 0.03    966 B
6   842 0.04    925 A
7   823 0.05    923 B

我用 groupby 得到这个 :

      K    R    S   Type
Type                    
A   6   842 0.04    925 A
B   7   823 0.05    923 B
C   0   810 0.05    978 C
P   2   825 0.05    978 P

但我想要的是Type顺序不变。

  K    R    S   Type
Type                    

C   0   810 0.05    978 C
P   2   825 0.05    978 P
B   7   823 0.05    923 B
A   6   842 0.04    925 A

Answer 1

例如使用groupby时使用sort = False

myData.groupby('Type',sort=False).mean()

            K     R      S
Type                         
C     823.333333  0.05  978.0
P     827.500000  0.05  978.0
B     839.000000  0.04  944.5
A     842.000000  0.04  925.0

如何在不对索引进行排序的情况下执行 groupy.apply()？

How can I do groupy.apply() without sort my index?

python

pandas

pandas-groupby