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Create a Numpy array with random values | Python
• Last Updated : 24 Oct, 2019

In this article, we will learn how to create a Numpy array filled with random values, given the shape and type of array.

We can use Numpy.empty() method to do this task. This method takes three parameters, discussed below –

```-> shape : Number of rows
-> order : C_contiguous or F_contiguous
-> dtype : [optional, float(by Default)] Data type of returned array.
```

Example #1:

 `# Python Program to create numpy array  ` `# filled with random values ` `import` `numpy as geek  ` `   `  `b ``=` `geek.empty(``2``, dtype ``=` `int``)  ` `print``(``"Matrix b : \n"``, b)  ` `   `  `a ``=` `geek.empty([``2``, ``2``], dtype ``=` `int``)  ` `print``(``"\nMatrix a : \n"``, a)  `

Output:

```Matrix b :
[140489599921032        21301024]

Matrix a :
[[140489599921048        18650592]
[       10738656 140489568798064]]
```

Example #2:

 `# Python Program to create numpy array  ` `# filled with random values ` `import` `numpy as geek  ` ` `  `# Python Program to create numpy array  ` `# filled with random values ` `import` `numpy as geek  ` ` `  `c ``=` `geek.empty([``3``, ``3``])  ` `print``(``"\nMatrix c : \n"``, c) ` ` `  `d ``=` `geek.empty([``5``, ``3``], dtype ``=` `int``)  ` `print``(``"\nMatrix d : \n"``, d) ` `  `

Output:

```Matrix c :
[[  1.37596097e-316   5.39314154e-317   5.39307830e-317]
[  5.39345774e-317   5.39345774e-317   6.93325440e-310]
[  5.39481741e-317   6.93325440e-310   8.69555537e-322]]

Matrix d :
[[140330665569272        23735792               0]
[       10739936 140330589556496               0]
[              0               0        10739904]
[140330587337872               0        10915968]
[              0        10739904               0]]
```

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