PCA降维

def solve():
    import pandas as pd
    from sklearn.preprocessing import StandardScaler
    from sklearn.decomposition import PCA
    df = pd.read_csv("https://data.zuihe.com/breast_cancer.csv")
    X = df.drop("target", axis=1)
    X_s = StandardScaler().fit_transform(X)
    pca = PCA(n_components=2).fit_transform(X_s)
    print(f"{pca.shape[0]},{pca.shape[1]}")