我有3列，即模型(应作为索引)、无标准化的精度、有标准化的精度(zscore、minmax、maxabs、robust)，这些都需要创建为:
------------------------------------------------------------------------------------
| Models | Accuracy without normalization | Accuracy with normalization |
| | |-----------------------------------|
| | | zscore | minmax | maxabs | robust |
------------------------------------------------------------------------------------
dfmod-> Models column
dfacc-> Accuracy without normalization
dfacc1-> Accuracy with normalization - zscore
dfacc2-> Accuracy with normalization - minmax
dfacc3-> Accuracy with normalization - maxabs
dfacc4-> Accuracy with normalization - robust
dfout=pd.DataFrame({('Accuracy without Normalization'):{dfacc},
('Accuracy using Normalization','zscore'):{dfacc1},
('Accuracy using Normalization','minmax'):{dfacc2},
('Accuracy using Normalization','maxabs'):{dfacc3},
('Accuracy using Normalization','robust'):{dfacc4},
},index=dfmod
)
我想做这样的事，但我想不出更多的办法
测试数据:
qda 0.6333 0.6917 0.5917 0.6417 0.5833
svm 0.5333 0.6917 0.5333 0.575 0.575
lda 0.5333 0.6583 0.5333 0.5667 0.5667
lr 0.5333 0.65 0.4917 0.5667 0.5667
dt 0.5333 0.65 0.4917 0.5667 0.5667
rc 0.5083 0.6333 0.4917 0.525 0.525
nb 0.5 0.625 0.475 0.5 0.4833
rfc 0.5 0.625 0.4417 0.4917 0.4583
knn 0.3917 0.6 0.4417 0.4833 0.45
et 0.375 0.5333 0.4333 0.4667 0.45
dc 0.375 0.5333 0.4333 0.4667 0.425
qds 0.3417 0.5333 0.4 0.4583 0.3667
lgt 0.3417 0.525 0.3917 0.45 0.3583
lt 0.2333 0.45 0.3917 0.4167 0.3417
这些是上表中规定的各子列的值
