python高斯分布概率密度函数的使用详解

import matplotlib.pyplot as pltimport numpy as npfrom scipy import statsfrom matplotlib import stylestyle.use('fivethirtyeight')mu_params = [-1, 0, 1]sd_params = [0.5, 1, 1.5]x = np.linspace(-7, 7, 100)f, ax = plt.subplots(len(mu_params), len(sd_params), sharex=True, sharey=True, figsize=(12,8))for i in range(3):  for j in range(3):    mu = mu_params[i]    sd = sd_params[j]    y = stats.norm(mu, sd).pdf(x)    ax[i, j].plot(x, y)    ax[i, j].plot(0,0, label='mu={:3.2f}/nsigma={:3.2f}'.format(mu,sd), alpha=0)    ax[i, j].legend(fontsize=10)ax[2,1].set_xlabel('x', fontsize=16)ax[1,0].set_ylabel('pdf(x)', fontsize=16)plt.suptitle('Gaussian PDF', fontsize=16)plt.tight_layout()plt.show()