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Generate Random Numbers From The Uniform Distribution using NumPy
• Last Updated : 05 Sep, 2020

Random numbers are the numbers that cannot be predicted logically and in Numpy we are provided with the module called random module that allows us to work with random numbers. To generate random numbers from the Uniform distribution we will use random.uniform() method of random module.

Syntax:

`numpy.random.uniform(low = 0.0, high = 1.0, size = None)  `

In uniform distribution samples are uniformly distributed over the half-open interval [low, high) it includes low but excludes high interval.

Examples:

## Python3

 `# importing module``import` `numpy as np`` ` ` ` `# numpy.random.uniform() method``r ``=` `np.random.uniform(size``=``4``)`` ` `# printing numbers``print``(r)`

Output:

```[0.3829765  0.50958636 0.42844207 0.4260992  0.3513896 ]
```

Example 2:

## Python3

 `# importing module``import` `numpy as np`` ` ` ` `# numpy.random.uniform() method``random_array ``=` `np.random.uniform(``0.0``, ``1.0``, ``5``)`` ` `# printing 1D array with random numbers``print``(``"1D Array with random values : \n"``, random_array)`

Output:

```1D Array with random values :
[0.2167103  0.07881761 0.89666672 0.31143605 0.31481039]
```

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