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
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Returns: | out : ndarray, shape (d0, d1, ..., dn)
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See also
Notes
This is a convenience function. If you want an interface that takes a shape-tuple as the first argument, refer to random.
Examples
>>> np.random.rand(3,2)
array([[ 0.14022471, 0.96360618], #random
[ 0.37601032, 0.25528411], #random
[ 0.49313049, 0.94909878]]) #random