# Random sampling in NumPy | random () function

`numpy.random.random()` — 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 (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.random () function `   ` # numpy import ` ` import ` ` numpy as geek `     ` # output array ` ` out_arr ` ` = ` ` geek.random.random (size ` ` = ` ` 3 < / code> ) ```` print ( "Output 1D Array filled with random floats:" , out_arr)  ```

Output:

` Output 1D Array filled with random floats: [0.21698734 0.01617363 0.70382199] `

Code # 2:

 ` # Python program explaining ` ` # numpy.random.random () function ` ` `  ` # import numpy ` ` import ` ` numpy as geek `     ` # output array ` ` out_arr ` ` = ` ` geek.random.random (size ` ` = ` ` (` ` 2 ` `, ` ` 4 ` `)) ` ` print ` ` (` ` "Output 2D Array filled with random floats:" ` `, out_arr) `

Output:

` Output 2D Array filled with random floats: [[0.95423066 0.35595927 0.76048569 0.90163066] [0.41903408 0.85596254 0.21666156 0.05734769]] `

Code # 3:

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

Output:

` Output 3D Array filled with random floats: [[[0.07861816 0.79132387 ] [0.9112629 0.98162851] [0.0727613 0.03480279]] [[0.11267727 0.07631742] [0.47554553 0.83625053] [0.67781339 0.37856642]]] `