`numpy.matlib:randn`

Signature

def randn(*args)

Return a random matrix with data from the "standard normal" distribution.

randn generates a matrix filled with random floats sampled from a univariate "normal" (Gaussian) distribution of mean 0 and variance 1.

\*args : Arguments: Shape of the output. If given as N integers, each integer specifies the size of one dimension. If given as a tuple, this tuple gives the complete shape.

Z : matrix of floats: A matrix of floating-point samples drawn from the standard normal distribution.

For random samples from the normal distribution with mean mu and standard deviation sigma, use

sigma * np.matlib.randn(...) + mu

np.random.seed(123)
import numpy.matlib
np.matlib.randn(1)
np.matlib.randn(1, 2, 3)

✓

matrix([[ 0.99734545,  0.2829785 , -1.50629471],
        [-0.57860025,  1.65143654, -2.42667924]])

Two-by-four matrix of samples from the normal distribution with mean 3 and standard deviation 2.5:

2.5 * np.matlib.randn((2, 4)) + 3

✓

matrix([[1.92771843, 6.16484065, 0.83314899, 1.30278462],
        [2.76322758, 6.72847407, 1.40274501, 1.8900451 ]])