`numpy.random:RandomState.standard_normal`

Signature

def standard_normal ( size = None )

Draw samples from a standard Normal distribution (mean=0, stdev=1).

size : int or tuple of ints, optional: Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn. Default is None, in which case a single value is returned.

out : float or ndarray: A floating-point array of shape size of drawn samples, or a single sample if size was not specified.

For random samples from the normal distribution with mean mu and standard deviation sigma, use one of

mu + sigma * np.random.standard_normal(size=...)
np.random.normal(mu, sigma, size=...)

np.random.standard_normal()

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s = np.random.standard_normal(8000)

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s.shape
s = np.random.standard_normal(size=(3, 4, 2))
s.shape

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Two-by-four array of samples from the normal distribution with mean 3 and standard deviation 2.5:

3 + 2.5 * np.random.standard_normal(size=(2, 4))

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