from sklearn.preprocessing import StandardScaler

#數據預處理標準化StandardScaler模型
def test_StandardScaler():
    X=[[1,5,1,2,10],
      [2,6,3,2,7],
      [3,7,5,6,4,],
      [4,8,7,8,1]]
    print("before transform:",X)
    scaler=StandardScaler()
    scaler.fit(X)
    print("scale_ is :",scaler.scale_)
    
 
print("mean_ is :",scaler.mean_)
    print("var_ is :",scaler.var_)
    print("after transform:",scaler.transform(X))
    
# 調用 test_StandardScaler
test_StandardScaler() 

吳裕雄 python 機器學習——數據預處理標準化StandardScaler模型