numpy.random.rand — NumPy v1.13 Manual (original) (raw)
numpy.random. rand(d0, d1, ..., dn)¶
Random values in a given shape.
Create an array of the given shape and populate 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. |
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| Returns: | out : ndarray, shape (d0, d1, ..., dn) Random values. |
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