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., |
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Returns: |
out : float or ndarray Drawn samples. |
>>> 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)
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.random.standard_normal.html