Take a look at numpy.random.rand:
Docstring: rand(d0, d1, …, dn)
Random values in a given shape.
Create an array of the given shape and propagate it with random samples from a uniform distribution over
[0, 1)
.
>>> import numpy as np >>> np.random.rand(2,3) array([[ 0.22568268, 0.0053246 , 0.41282024], [ 0.68824936, 0.68086462, 0.6854153 ]])
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