numpy.random.rand#

random.rand(d0,d1,...,dn)#

Random values in a given shape.

Note

This is a convenience function for users porting code from Matlab,and wrapsrandom_sample. That function takes atuple to specify the size of the output, which is consistent withother NumPy functions likenumpy.zeros andnumpy.ones.

Create an array of the given shape and populate it withrandom samples from a uniform distributionover[0,1).

Parameters:
d0, d1, …, dnint, optional

The dimensions of the returned array, must be non-negative.If no argument is given a single Python float is returned.

Returns:
outndarray, shape(d0,d1,...,dn)

Random values.

See also

random

Examples

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