降维-PCA

def solve():
    import pandas as pd
    from sklearn.decomposition import PCA
    df = pd.read_csv(____)
    X = df.drop(____)
    pca = PCA(____)
    X_pca = pca.fit_transform(____)
    print(____)
    print('____', pca.explained_variance_ratio_.round(____))