# Random sampling in numpy | sample() function

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

Output :

```Output random value :  0.9261509680895836
```

Code #2 :

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

Output :

```Output 2D Array filled with random floats :  [[ 0.75908777  0.88295677  0.60979136]
[ 0.68157065  0.75100312  0.08321613]
[ 0.8360331   0.64808891  0.14731635]]
```

Code #3 :

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

Output :

```Output 3D Array filled with random floats :  [[[ 0.3073475   0.75709465  0.86934712]
[ 0.21953745  0.48138292  0.30686482]]

[[ 0.48925625  0.60222083  0.14403257]
[ 0.87030919  0.87298872  0.2222136 ]]]
```

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