numpy.random.ranf()
— one of the functions for random sampling in numpy. It returns an array of the given shape and fills it with random floating point numbers in the halfopen interval [0.0, 1.0).
Syntax: numpy. random.ranf (size = None)
Parameters:
size: [int or tuple of ints, optional] Output shape. If the given shape is, eg, (m, n, k), then m * n * k samples are drawn. Default is None, in which case a single value is returned.Return: Array of random floats in the interval
[0.0, 1.0).
or a single such random float if size not provided.
Code # 1:

Output:
Output random float value : 0.0877051588430926
Code # 2:

Output:
Output 2D Array filled with random floats: [[0.14186407 ] [0.58068259]]
Code # 3:

Exit:
Output 3D Array filled with random floats: [[[0.11013584 0.67844746] [0.84691569 0.09467084] [0.69918864 0.12137178]] [[0.30629051 0.28301093] [0.1302665 0.2196221] [0.51555358 0.73191852]] 0.72806359 0.66485275] [0.80654791 0.04947181] [0.06380535 0.99306064]]]
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