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Random sampling in numpy | random() function
• Last Updated : 26 Feb, 2019

`numpy.random.random()` is one of the function for doing random sampling in numpy. It returns an array of specified shape and fills it with random floats 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, e.g., (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`` ` `# importing numpy``import` `numpy as geek`` ` ` ` `# output array``out_arr ``=` `geek.random.random(size ``=` `3``)``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`` ` `# importing 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`` ` `# importing numpy``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]]]
```

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