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]]]