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# numpy.matlib.randn

`numpy.matlib.``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.

  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 , 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 :

      >>> 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

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