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 likenumpy.zeros
andnumpy.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.
- outndarray, shape
See also
Examples
>>> np.random.rand(3,2) array([[ 0.14022471, 0.96360618], #random [ 0.37601032, 0.25528411], #random [ 0.49313049, 0.94909878]]) #random