In this article, we will see different techniques and libraries to select items from a list randomly.
random the module provides several APIs for doing the random selection. To select the items from a list at random, just use the
Refer to the following example for more information:
import random my_list = [1, 2, 3, 4, 5] random_item = random.choice(my_list) print(random_item)
In the above example, by using
random.choice(), we randomly select and retrieve an item from the list which in this case is
The above example fetches only one random element from a given list. Refer the following example on how to select more than one random element from a list.
Selecting more than one random element
If we need to select multiple items from a list without duplicates (i.e., each item can be selected only once), we can use the
See the following example:
import random my_list = [1, 2, 3, 4, 5] random_items = random.sample(my_list, 3) print(random_items)
[2, 4, 1]
In the above output, you can see three elements are selected from the list my_list. There are no duplicate elements present and the order of the items in the output list is also random.
numpy library provides efficient functions for random selection. This is very useful when working with large datasets or needing more advanced randomization capabilities.
Similar to the
numpy.random.choice(), the function
random.choice() allows us to select the items from a list randomly.
Following is an example:
import numpy as np my_list = [1, 2, 3, 4, 5] random_item = np.random.choice(my_list) print(random_item)