# 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]]]
```

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