PCA累计方差可视化

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(____)
    cumvar = np.cumsum(____)
    plt.plot(range(____, len(____)+____), cumvar, "____")
    plt.axhline(____)
    plt.xlabel(____); plt.ylabel(____); plt.legend()
    plt.title(____); plt.show()
    print(____)