### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.7 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Random sampling (`numpy.random`) »
- numpy.random.RandomState »

# numpy.random.RandomState.standard_normal

`RandomState.``standard_normal`(size=None)

  Returns samples from a Standard Normal distribution (mean=0, stdev=1).

  Parameters : | size : int or tuple of ints, optional Output shape. 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)

### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.7 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Random sampling (`numpy.random`) »
- numpy.random.RandomState »