Kolmogorov-Smirnov检验

def solve():
    import pandas as pd
    import numpy as np
    import matplotlib.pyplot as plt
    from scipy.stats import kstest, norm
    url = '____'
    df = pd.read_csv(____)
    mu, sig = df['____'].mean(), df['____'].std()
    stat, p = kstest(df['____'], lambda x: norm.cdf(____))
    print(____)
    print(____)
    x = np.linspace(df['____'].min(), df['____'].max(), ____)
    df['____'].hist(____)
    plt.plot(x, norm.pdf(____), '____', lw=____, label='____')
    plt.xlabel(____); plt.ylabel(____); plt.title(____); plt.legend()
    plt.tight_layout(); plt.show()