search
HomeBackend DevelopmentPython TutorialHow to Properly Deep Copy a List in Python?

How to Properly Deep Copy a List in Python?

How to Deep Copy a List?

When attempting to create a deep copy of a list, it's crucial to avoid using the list() constructor. While list() may appear to generate a distinct list, it only performs a shallow copy, preserving references to the original list's elements. Consequently, any modifications made to the new list will also affect the original.

Solution: Deep Copy Using copy.deepcopy()

For true deep copying, the copy.deepcopy() function must be employed. This function recursively clones all elements within the list, ensuring that the new list is independent of the original.

Example:

import copy

# Original list
E0 = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

# Shallow copy
E0_copy1 = list(E0)

# Deep copy
E0_copy2 = copy.deepcopy(E0)

# Modify shallow copy
E0_copy1[0][0] = 0

# Observe that changes to the shallow copy also affect the original
print(E0)  # Output: [[0, 2, 3], [4, 5, 6], [7, 8, 9]]

# Modify deep copy
E0_copy2[1][1] = 0

# Note that changes to the deep copy do not affect the original
print(E0)  # Output: [[0, 2, 3], [4, 5, 6], [7, 8, 9]]

Explanation:

list() initializes a new list by referencing the original elements. Therefore, any alterations made to the copy propagates to the original list.

copy.deepcopy(), on the other hand, creates copies of all nested elements within the list, resulting in a fully independent copy. Modifications to the deep copy do not impact the original list.

The above is the detailed content of How to Properly Deep Copy a List in Python?. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
How do you slice a Python array?How do you slice a Python array?May 01, 2025 am 12:18 AM

The basic syntax for Python list slicing is list[start:stop:step]. 1.start is the first element index included, 2.stop is the first element index excluded, and 3.step determines the step size between elements. Slices are not only used to extract data, but also to modify and invert lists.

Under what circumstances might lists perform better than arrays?Under what circumstances might lists perform better than arrays?May 01, 2025 am 12:06 AM

Listsoutperformarraysin:1)dynamicsizingandfrequentinsertions/deletions,2)storingheterogeneousdata,and3)memoryefficiencyforsparsedata,butmayhaveslightperformancecostsincertainoperations.

How can you convert a Python array to a Python list?How can you convert a Python array to a Python list?May 01, 2025 am 12:05 AM

ToconvertaPythonarraytoalist,usethelist()constructororageneratorexpression.1)Importthearraymoduleandcreateanarray.2)Uselist(arr)or[xforxinarr]toconvertittoalist,consideringperformanceandmemoryefficiencyforlargedatasets.

What is the purpose of using arrays when lists exist in Python?What is the purpose of using arrays when lists exist in Python?May 01, 2025 am 12:04 AM

ChoosearraysoverlistsinPythonforbetterperformanceandmemoryefficiencyinspecificscenarios.1)Largenumericaldatasets:Arraysreducememoryusage.2)Performance-criticaloperations:Arraysofferspeedboostsfortaskslikeappendingorsearching.3)Typesafety:Arraysenforc

Explain how to iterate through the elements of a list and an array.Explain how to iterate through the elements of a list and an array.May 01, 2025 am 12:01 AM

In Python, you can use for loops, enumerate and list comprehensions to traverse lists; in Java, you can use traditional for loops and enhanced for loops to traverse arrays. 1. Python list traversal methods include: for loop, enumerate and list comprehension. 2. Java array traversal methods include: traditional for loop and enhanced for loop.

What is Python Switch Statement?What is Python Switch Statement?Apr 30, 2025 pm 02:08 PM

The article discusses Python's new "match" statement introduced in version 3.10, which serves as an equivalent to switch statements in other languages. It enhances code readability and offers performance benefits over traditional if-elif-el

What are Exception Groups in Python?What are Exception Groups in Python?Apr 30, 2025 pm 02:07 PM

Exception Groups in Python 3.11 allow handling multiple exceptions simultaneously, improving error management in concurrent scenarios and complex operations.

What are Function Annotations in Python?What are Function Annotations in Python?Apr 30, 2025 pm 02:06 PM

Function annotations in Python add metadata to functions for type checking, documentation, and IDE support. They enhance code readability, maintenance, and are crucial in API development, data science, and library creation.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment