How to Clone a List in Python?

Estimated read time 2 min read

To clone a list in Python, you can use various approaches, depending on whether you need a shallow or deep copy of the list. Here are a few methods you can use:

  1. Using the slicing technique:
original_list = [1, 2, 3, 4, 5]
cloned_list = original_list[:]

The slicing technique creates a new list by using the full slice [:] of the original list. This creates a shallow copy of the list, where changes to the cloned list won’t affect the original list. However, if the list contains mutable objects (e.g., nested lists), changes to those objects will be reflected in both the original and cloned lists.

  1. Using the list() constructor:
original_list = [1, 2, 3, 4, 5]
cloned_list = list(original_list)

The list() constructor can be used to create a new list with the same elements as the original list. This also creates a shallow copy, so changes to mutable objects within the list will be reflected in both the original and cloned lists.

  1. Using the copy module:
import copy

original_list = [1, 2, 3, 4, 5]
cloned_list = copy.copy(original_list)

The copy module provides the copy() function, which creates a shallow copy of an object. In this case, it creates a new list with the same elements as the original list. Changes to mutable objects within the list will be reflected in both the original and cloned lists.

  1. Using the copy module for deep copy:
import copy

original_list = [1, 2, [3, 4], 5]
cloned_list = copy.deepcopy(original_list)

If you need to create a deep copy of a list, including all nested objects, you can use the deepcopy() function from the copy module. This creates a completely independent copy where changes to any objects, including nested ones, will not affect the original list.

Choose the method that suits your needs based on whether you require a shallow or deep copy of the list.

You May Also Like

More From Author

+ There are no comments

Add yours

Leave a Reply