"""中心极限定理指的是给定一个任意分布的总体。我每次从这些总体中随机抽取 n 个抽样，一共抽 m 次。 然后把这 m 组抽样分别求出平均值/和。 这些平均值/和的分布接近正态分布。"""import numpy as npimport matplotlib.pyplot as plt# 1 给定任意分布的总体population = np.random.randint(0, 100, 100000)# 2 随机抽取m个样本，抽取n次def sample_choice(population, sample_num, sample_size):    samples = []    for i in range(sample_num):        sample = []        for j in range(sample_size):            unit = np.random.choice(population)            sample.append(unit)        samples.append(sample)    return samples# 3 计算样本均值def samples_mean(samples):    sample_mean = []    for i in range(len(samples)):        sample_mean.append(np.mean(samples[i]))        return sample_mean# 4 中心定理结果def central_limit_theorem():    # 1.任意分布总体    population = np.random.randint(0, 100, 100000)    # 2.抽样    samples = sample_choice(population, 1000, 50)    # 3.求样本均值    sample_mean = samples_mean(samples)    plt.hist(sample_mean, bins=30)    plt.show()if __name__ == "__main__":    central_limit_theorem()