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 wraps random_sample. That function takes a tuple to specify the size of the output, which is consistent with other NumPy functions like numpy.zeros and numpy.ones.

Create an array of the given shape and populate it with random samples from a uniform distribution over [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

numpy.random.power

numpy.random.randint