Let’s see how to shuffle an array in Numpy Python library.

## Shuffling an array

With Numpy you can easily shuffle an array. Just use Numpy random shuffle method. This will shuffle your array.

import numpy as np my_list = [1, 2, 5, 7, 9, 13] print(f"My list is: \n{my_list}") my_array = np.array(my_list) np.random.shuffle(my_array) print(f"My random shuffle array is: \n{my_array}")

As you can see the order of values has been changed.

## Other parameters of Numpy random shuffle function

The random.shuffle method in Numpy has several other parameters that can be used to customize the output.

- axis: The axis along which the array will be shuffled. The default value is None, which means that the array will be shuffled in place.
- If axis=0, the elements in the first dimension will be shuffled.
- If axis=1, the elements in the second dimension will be shuffled.
- And so on.

- random_state: A random number generator object. If not specified, a new random number generator will be created.

For example, the following code will shuffle the array along the first axis:

import numpy as np my_list = [1, 2, 5, 7, 9, 13] print(f"My list is: \n{my_list}") my_array = np.array(my_list) np.random.shuffle(my_array, axis=0) print(f"My random shuffle array is: \n{my_array}")