# Random sampling in NumPy | random_sample () function

`numpy.random.random_sample()` — 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.random_sample (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.sample () function `   ` # numpy import ` ` import ` ` numpy as geek `   ` # output random value ` ` out_val ` ` = ` ` geek.random.random_sample () ` ` print ` ` (` `" Output random float value: "` `, out_val) `

Output:

` Output random float value: 0.9211987310893188 `

Code # 2:

` `

` # Python program explaining # numpy.random.random_sample () function   # numpy import import numpy as geek     # output array out_arr = geek.random.random_sample (size = ( 1 , 3 )) print ( "Output 2D Array filled with random floats:" , out_arr)  `

` ` Output:

` Output 2D Array filled with random floats: [[0.64325146 0.4699456 0.89895437]] `

Code no. 3:

 ` # Python program explaining ` ` # numpy.random. random_sample () function `   ` # numpy import ` ` import ` ` numpy as geek `   ` # output array ` ` out_arr ` ` = ` ` geek.random.random_sample ((` ` 3 ` `, ` ` 2 ` `, ` ` 1 ` `)) ` ` print ` ` (` ` "Output 3D Array filled with random floats:" ` `, out_arr) `

Output:

` Output 3D Array filled with random floats: [[[0.78245025] [0.77736746]] [[0.54389267] [0.18491758]] [[0.97428409] [0.73729256]]] `