写一段主成分分析的python代码

from sklearn.decomposition import PCA
import numpy as npX = np.array([[1,2,3], [4,5,6], [7,8,9]])pca = PCA(2)
pca.fit(X)print(pca.components_) # 获取主成分矩阵
print(pca.explained_variance_) # 获取每个主成分的方差