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# numpy.random.RandomState.rand

`RandomState.``rand`(d0, d1, ..., dn)

  Random values in a given shape.

  Create an array of the given shape and propagate it with random samples from a uniform distribution over `[0, 1)`.

  Parameters : | d0, d1, ..., dn : int, optional The dimensions of the returned array, should all be positive. If no argument is given a single Python float is returned.
  Returns : | out : ndarray, shape `(d0, d1, ..., dn)` Random values.

  See also

  `random`

  Notes

  This is a convenience function. If you want an interface that takes a shape-tuple as the first argument, refer to np.random.random_sample .

  Examples

      >>> np.random.rand(3,2)
      array([[ 0.14022471,  0.96360618],  #random
             [ 0.37601032,  0.25528411],  #random
             [ 0.49313049,  0.94909878]]) #random

### Navigation

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- NumPy v1.7 Manual (DRAFT) »
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