#等维度分析主成分
from sklearn.decomposition import PCA
pca=PCA(n_components=4)
x_pca=pca.fit_transform(x)
var_ratio=pca.explained_variance_ratio_
print(var_ratio)
#[0.92461621 0.05301557 0.01718514 0.00518309]
from sklearn.preprocessing import StandardScaler
x_normal=StandardScaler().fit_transform(x)

#PCA建模同等维度PCA–发现主成分有2个
from sklearn.decomposition import PCA
pca=PCA(n_components=4)
x_pca=pca.fit_transform(x_normal)
var_ratio=pca.explained_variance_ratio_
print(var_ratio)
#[0.72770452 0.23030523 0.03683832 0.00515193]