numpy.random.normal — NumPy v1.10 Manual

numpy.random.normal¶ numpy.random.normal(loc=0.0, scale=1.0, size=None)¶ Draw random samples from a normal (Gaussian) distribution. The probability density function of the normal distribution, first derived by De Moivre and 200 years later by both Gauss and Laplace independently [R250], is often called the bell curve because of its characteristic shape (see the example below). The normal distribut

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ヒストグラム、正規分布、ガウシアン、>>> s = np.random.normal(mu, sigma, 1000)