PCA-基础降维

def solve():
    import pandas as pd
    from sklearn.decomposition import PCA
    df = pd.read_csv('https://liangdaima.com/static/data/iris.csv')
    X = df.drop('species', axis=1)
    pca = PCA(n_components=2)
    X_pca = pca.fit_transform(X)
    print('降维后形状:', X_pca.shape)