numpy.random.rand¶
-
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.
Returns: out : ndarray, shape
(d0, d1, ..., dn)
Random values.
See also
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