dpnp.random.normal

dpnp.random.normal(loc=0.0, scale=1.0, size=None)

Normal distribution.

Draw random samples from a normal (Gaussian) distribution.

For full documentation refer to numpy.random.normal.

Limitations

Parameters loc and scale are supported as scalar. Otherwise, numpy.random.normal(loc, scale, size) samples are drawn. Output array data type is dpnp.float64.

Examples

Draw samples from the distribution: >>> mu, sigma = 0, 0.1 # mean and standard deviation >>> s = dpnp.random.normal(mu, sigma, 1000)