GFG App
Open App
Browser
Continue

# Random sampling in numpy | random_sample() function

`numpy.random.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.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.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 ` ` `  `# importing numpy ` `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 #3 :

 `# Python program explaining ` `# numpy.random.random_sample() function ` ` `  `# importing numpy ` `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]]]
```

My Personal Notes arrow_drop_up