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numpy.matlib.randn

# numpy.matlib.rand

`numpy.matlib.``rand`(*args)

  Return a matrix of random values with given shape.

  Create a matrix of the given shape and propagate it with random samples from a uniform distribution over `[0, 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 : | out : ndarray The matrix of random values with shape given by *args.

  See also

  `randn`, `numpy.random.rand`

  Examples

      >>> import numpy.matlib
      >>> np.matlib.rand(2, 3)
      matrix([[ 0.68340382,  0.67926887,  0.83271405],
              [ 0.00793551,  0.20468222,  0.95253525]])       #random
      >>> np.matlib.rand((2, 3))
      matrix([[ 0.84682055,  0.73626594,  0.11308016],
              [ 0.85429008,  0.3294825 ,  0.89139555]])       #random

  If the first argument is a tuple, other arguments are ignored:

      >>> np.matlib.rand((2, 3), 4)
      matrix([[ 0.46898646,  0.15163588,  0.95188261],
              [ 0.59208621,  0.09561818,  0.00583606]])       #random