`scipy.stats._multivariate:uniform_direction_frozen.init`

Signature

def __init__ ( self , dim = None , seed = None )

Create a frozen n-dimensional uniform direction distribution.

dim : int: Dimension of matrices
seed : {None, int, `numpy.random.Generator`,: numpy.random.RandomState}, optional
If seed is None (or np.random), the numpy.random.RandomState singleton is used. If seed is an int, a new RandomState instance is used, seeded with seed. If seed is already a Generator or RandomState instance then that instance is used.

from scipy.stats import uniform_direction
x = uniform_direction(3)

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x.rvs()

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