# numpy.random.randint() function with example in python

### numpy.random.randint() function:

This function return random integers from low (inclusive) to high (exclusive).

Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval [low, high). If high is None (the default), then results are from [0, low).

Syntax: numpy.random.randint(low, high=None, size=None, dtype=’l’)

Parameters:
low : int
Lowest (signed) integer to be drawn from the distribution (unless high=None, in which case this parameter is one above the highest such integer).

high : int, optional
If provided, one above the largest (signed) integer to be drawn from the distribution (see above for behavior if high=None).

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.

dtype : dtype, optional
Desired dtype of the result. All dtypes are determined by their name, i.e., ‘int64’, ‘int’, etc, so byteorder is not available and a specific precision may have different C types depending on the platform. The default value is ‘np.int’.

Returns:
out : int or ndarray of ints
size-shaped array of random integers from the appropriate distribution, or a single such random int if size not provided.

### #example program on numpy.random.randint() function

` ` ``` import numpy as np print(np.random.randint(10, size=10)) print(np.random.randint(5, size=(2,5))) ``` ` ` ` `

Output:

```[5 2 5 4 9 2 3 2 3 1]
[[0 1 0 0 3]
[1 3 1 4 1]]``` 