import numpy as npimport matplotlibpyplot as pltfrom sklearndecomposition import PCAx = nparray1 2 15 18 5 8 8 8 1 06 9 11########## Begin ###########降维#主成分数量为2pca = #贡献比X_Contribution = printpcaexpla

#降维 #主成分数量为2 pca = PCA(n_components=2)

#拟合数据 pca.fit(x)

#贡献比 X_Contribution = pca.explained_variance_ratio_ print(X_Contribution)

#生成降维后的数据 X_reduction = pca.transform(x) print(X_reduction)