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numpy.random.standard_normal(size=None) -
Draw samples from a standard Normal distribution (mean=0, stdev=1).
Parameters: size : int or tuple of ints, optional
Output shape. If the given shape is, e.g.,
(m, n, k), thenm * n * ksamples are drawn. Default is None, in which case a single value is returned.Returns: out : float or ndarray
Drawn samples.
Examples
>>> s = np.random.standard_normal(8000) >>> s array([ 0.6888893 , 0.78096262, -0.89086505, ..., 0.49876311, #random -0.38672696, -0.4685006 ]) #random >>> s.shape (8000,) >>> s = np.random.standard_normal(size=(3, 4, 2)) >>> s.shape (3, 4, 2)
numpy.random.standard_normal()
2017-01-10 18:18:18
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