normal#

named_arrays.random.normal(loc, scale, shape_random=None, seed=None)#

Draw samples from a normal distribution

Parameters:
  • loc (RandomCenterT) – The center of the distribution.

  • scale (RandomWidthT) – The width of the distribution.

  • shape_random (None | dict[str, int]) – Additional dimensions to be broadcast against center and width

  • seed (None | int) – Seed for the random number generator, can be provided for repeatability.

Return type:

RandomCenterT | RandomWidthT

See also

numpy.random.normal()

Equivalent numpy function

named_arrays.ScalarNormalRandomSample

Implicit array version of this function for scalars

named_arrays.UncertainScalarNormalRandomSample

Implicit array version of this function for uncertain scalars