normal

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

Draw samples from a normal distribution

Parameters:

• loc (float | complex | Quantity | AbstractArray) – The center of the distribution.

• scale (float | complex | Quantity | AbstractArray) – 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:

AbstractExplicitArray

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