数据标准化_1

from sklearn.datasets import load_iris
iris=load_iris()


#Z-score 数据标准化
from sklearn.preprocessing import StandardScaler
data_standard=StandardScaler().fit_transform(iris.data)
# print('data_standard',data_standard)


#Min-Max
from sklearn.preprocessing import MinMaxScaler
data_min_max=MinMaxScaler().fit_transform(iris.data)
# print('data_min_max',data_min_max)


#Normaizer归一化
from sklearn.preprocessing import Normalizer
data_norm=Normalizer().fit_transform(iris.data)
# print('data_norm',data_norm)

#对定量特征二只化，大于3为1，小于3为0
from sklearn.preprocessing import Binarizer
data_bin=Binarizer(threshold=3).fit_transform(iris.data)
# print('data_bin',data_bin)


#对数变换
from numpy import log1p
from sklearn.preprocessing import FunctionTransformer
data_log=FunctionTransformer(log1p).fit_transform(iris.data)
# print('data_log',data_log)