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import matplotlib.pyplot as pltimport numpy as npfrom scipy.stats import normfrom random import uniformfig, ax = plt.subplots()x = np.linspace(-4, 4, 150)for i in range(4): m, s = uniform(-1, 1), uniform(1, 2) y = norm.pdf(x, loc=m, scale=s) current_label = r'$\mu = {0:.2f}$'.format(m) ax.plot(x, y, linewidth=4, alpha=0.9, label=current_label)ax.legend()plt.show()