USArrests数据集PCA

import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA
data = pd.read_csv('https://liangdaima.com/static/data/statistics/USArrests.csv', index_col=0)
scaler = StandardScaler()
X_scaled = scaler.fit_transform(data)
pca = PCA()
pca.fit(X_scaled)
print('各主成分方差解释比例:', pca.explained_variance_ratio_)
print('累计方差解释比例:', pca.explained_variance_ratio_.cumsum())