import numpy as np
import pandas as pd
import scipy.stats as ss
import statsmodels.api as sm
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif']=['Times New Roman + SimSun + WFM Sans SC']
plt.rcParams['mathtext.fontset']='stix'

Times New Roman + SimSun + WFM Sans SC

simsum宋体, times new roman -*, simhei黑体, kaiti楷体,

dengxian等线, fangsong仿宋, Microsoft Yahei微软雅黑

plt.rcParams['axes.unicode_minus']=False
plt.rcParams['figure.dpi'] = 200

plt.rcParams['figure.figsize'] = [4, 3]

plt.rcParams['font.size'] = 12

plt.rcParams['xtick.direction']='in'
plt.rcParams['ytick.direction']='in'
data = np.loadtxt('F:\python数学建模与算法\第九章习题\hm9.2.txt').flatten()
mu = data.mean()
sig = data.std(ddof=1)
st, p = ss.kstest(data, 'norm', (mu, sig))
print("统计量：", st)
print("p值：", p)