numpy.random.standard_normal — NumPy v1.16 Manual (original) (raw)
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 * k samples 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)