numpy.matlib.randn¶

numpy.matlib.randn(*args)[source]¶

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

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

Parameters:	*args : Arguments Shape of the output.If given as N integers, each integer specifies the size of onedimension. If given as a tuple, this tuple gives the complete shape.
Returns:	Z : matrix of floats A matrix of floating-point samples drawn from the standard normaldistribution.

See also

rand,random.randn

Notes

For random samples from, use:

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

Examples

>>>importnumpy.matlib>>>np.matlib.randn(1)matrix([[-0.09542833]])                                 #random>>>np.matlib.randn(1,2,3)matrix([[ 0.16198284,  0.0194571 ,  0.18312985],        [-0.7509172 ,  1.61055   ,  0.45298599]])       #random

Two-by-four matrix of samples from:

>>>2.5*np.matlib.randn((2,4))+3matrix([[ 4.74085004,  8.89381862,  4.09042411,  4.83721922],        [ 7.52373709,  5.07933944, -2.64043543,  0.45610557]])  #random