PCA方差解释比可视化

def solve():
    import pandas as pd
    import matplotlib.pyplot as plt
    import numpy as np
    from sklearn.preprocessing import StandardScaler
    from sklearn.decomposition import PCA
    df = pd.read_csv(____)
    X = df.drop(____)
    X_s = StandardScaler().fit_transform(____)
    pca = PCA().fit(____)
    vr = pca.explained_variance_ratio_[:____]
    plt.bar(range(____, ____), vr); plt.xlabel(____); plt.ylabel(____)
    plt.title(____); plt.show()
    print(____)