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# Random sampling in NumPy | ranf () function

`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 half-open 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:

 ` # Python program explaining ` ` # numpy.random.ranf () function `   ` # numpy import ` ` import ` ` numpy as geek `     ` # output a random floating point value ` ` out_val ` ` = ` ` geek.random.ranf () ` ` print ` ` (` ` "Output random float value:" ` `, out_val) `

Output:

` Output random float value : 0.0877051588430926 `

Code # 2:

 ` # Python program explaining ` ` # numpy.random.ranf () function `   ` # numpy import ` ` import ` ` numpy as geek `     ` # output array ` ` out_arr ` ` = ` ` geek.random.ranf (size ` ` = ` ` (` ` 2 ` `, ` ` 1 ` `)) ` ` print ` ` (` ` "Output 2D Array filled with random floats:" ` `, out_arr) `

Output:

` Output 2D Array filled with random floats: [[0.14186407 ] [0.58068259]] `

Code # 3:

 ` # Python program explaining ` ` # numpy.random.ranf () function `   ` # numpy import ` ` import ` ` numpy as geek `   ` # output array ` ` out_arr ` ` = ` ` geek.random.ranf ((` ` 3 ` `, ` ` 3 ` `, ` ` 2 ` `)) ` ` print ` ` (` ` "Output 3D Array filled with random floats:" ` `, out_arr) `

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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