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.
Parameters : | *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.
|
Returns : | Z : matrix of floats
A matrix of floating-point samples drawn from the standard normal
distribution.
|
See also
rand, random.randn
Notes
For random samples from
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, use:
sigma * np.matlib.randn(...) + mu
Examples
>>> import numpy.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
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(./math.tex
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:
>>> 2.5 * np.matlib.randn((2, 4)) + 3
matrix([[ 4.74085004, 8.89381862, 4.09042411, 4.83721922],
[ 7.52373709, 5.07933944, -2.64043543, 0.45610557]]) #random