numpy.random.RandomState.rand¶

RandomState.rand(d0,d1,...,dn)¶

Random values in a given shape.

Create an array of the given shape and populate it withrandom samples from a uniform distributionover[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 thattakes a shape-tuple as the first argument, refer tonp.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