A list in python is a collection of elements of same or different types and is created by enclosing the elements inside square brackets. Often you need to make a copy of an existing list so that you can modify some elements of the copy without actually modifying the original list.
Simply assigning a list to another new list will definitely create two lists with identical elements but the second list will not be an ideal copy since changes made to the copied list will also reflect in the original list. Example,
original_list = [1, 2, 3] # assign existing list to a new list copy_list = original_list # modify first element of copy copy_list[0] = 2 # print original list print(original_list) # prints [2, 2, 3] |
As you can see the original list is also modified.
This post will explain different ways in which a list can be cloned so that changes made to any of the lists are independent of each other.
For an in-depth understanding of list in python, refer this link.
Method 1: Using copy method
Use list’ inbuilt function copy to create a clone of list. This method takes an object which is the object whose copy needs to be created and returns a new object with contents of the supplied object. Since the returned list is a new object, changes made to it are not reflected in the original object. Example,
original_list = [1, 2, 3] # create a new copy using copy function copy_list = original_list.copy() # modify first element of copy copy_list[0] = 2 # print original list print(original_list) # prints [1, 2, 3] # print copied list print(copy_list) # prints [2, 2, 3] |
original_list == copy_list. If the lists are different, it will return False.Method 2: Using slicing operator
Slicing operator(:) when used without any arguments on its left and right returns a new object with the entire contents of the original list. New object is a different object and thus any changes made to it will be limited to that object only. Example,
original_list = [1, 2, 3] # create new copy using slicing copy_list = original_list[:] # modify first element of copy copy_list[0] = 2 # print original list print(original_list) # prints [1, 2, 3] # print copied list print(copy_list) # prints [2, 2, 3] |
Method 3: Using list function
Python’s builtin function
list can also be used to create a new list object. It takes another list object as argument and returns a new list with its contents populated from the supplied list.
original_list = [1, 2, 3] # create new copy using list function copy_list = list(original_list) # modify first element of copy copy_list[0] = 2 # print original list print(original_list) # prints [1, 2, 3] # print copied list print(copy_list) # prints [2, 2, 3] |
Python docs for list function state
list(iterable) -> new list initialized from iterable’s items
If no argument is supplied to list function, it will return a new list with empty contents.
Method 4: Using copy method from copy module
Python’s copy module can be used to perform copy operations. Its copy method takes an object as argument and returns a new object whose contents are exact copy of the supplied object. For using this function, you need to import copy module first. Example,
import copy original_list = [1, 2, 3] # create new copy copy_list = copy.copy(original_list) # modify first element of copy copy_list[0] = 2 # print original list print(original_list) # prints [1, 2, 3] # print copied list print(copy_list) # prints [2, 2, 3] |
Method 5: Using deepcopy method from copy module
All the above methods perform a shallow copy of the list. Shallow and deep copy differ only when the object to be copied contains other nested object. Nested object means object inside another object. Example, if a Student object contains an Address object, then Address object is a nested object.
In case of shallow copy, a separate copy of outer object is made while inner objects are copied as it is(same objects are used) while in deep copy operation, nested objects are also separately copied.
If the list contains only numbers, string or any non-nested objects, then this method should not be used as it is comparatively slower. In that case, any of the above methods can be used.
copy module’s deepcopy method can be used to perform deep copy of the supplied list. For using this function, you need to import copy module first. Example,
import copy original_list = [1, 2, 3] # create deep copy copy_list = copy.deepcopy(original_list) # modify first element of copy copy_list[0] = 2 # print original list print(original_list) # prints [1, 2, 3] # print copied list print(copy_list) # prints [2, 2, 3] |
Method 6: Iterating over list
This is a traditional method where we iterate over the source list and add its elements to the copy list(which is initially an empty list) one by one. The new list created this way will be a separate list than the source list and thus, any changes made to the new list will not affect the original list. Example,
# create empty list copy_list = [] # iterate over the source list for element in original_list: # add element to new list copy_list.append(element) # modify first element of copy copy_list[0] = 2 # print original list print(original_list) # prints [1, 2, 3] # print copied list print(copy_list) # prints [2, 2, 3] |
As evident, modifying the new list element does not affect the original list.
For any queries/clarifications or addition of new methods, head over to the comment section below. Keep visiting!!!