python高斯分布概率密度函数的使用详解_Python

如下所示：

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									import matplotlib.pyplot as plt

									import numpy as np

									from scipy import stats

									from matplotlib import style

									style.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()