Home > Backend Development > Python Tutorial > Why Does Assigning a New List to a Function Argument Not Modify the Original List in Python?

Why Does Assigning a New List to a Function Argument Not Modify the Original List in Python?

Linda Hamilton
Release: 2024-11-01 11:42:02
Original
1103 people have browsed it

Why Does Assigning a New List to a Function Argument Not Modify the Original List in Python?

Altering a List Within a Function's Ambit

In Python, when a function receives a list as an argument, the parameter effectively becomes a reference pointing to the original list's location in memory. Any modifications made to the list within the function are directly reflected in the calling list.

However, the following code demonstrates a peculiar behavior that challenges this understanding:

<code class="python">def function1(list_arg):
   a = function2()  # function2 returns an array of numbers
   list_arg = list(a)

list1 = [0] * 5
function1(list1)
print(list1)
# [0, 0, 0, 0, 0]</code>
Copy after login

In this example, we intend for function1 to modify list1 by replacing its elements with those from array a. But the result shows list1 remains unchanged. Why does this happen?

Unveiling the Reassignment Pitfall

The issue arises from the incorrect assumption that assigning a new value to the list_arg variable within function1 modifies the original list. In reality, this assignment only changes the reference of list_arg to point to a different object in memory. The original list referenced by the calling code remains untouched.

Achieving the Desired Modification

To successfully alter the original list within function1, we need to modify its individual elements. This can be accomplished through slice assignment:

<code class="python">list_arg[:] = list(a)</code>
Copy after login

Slice assignment replaces the entire range of elements in list_arg with the values from list(a). Effectively, this action directly modifies the original list.

A Cautionary Note

While slice assignment provides a convenient solution, it is important to note its potential for confusion. By modifying a list in place, the code becomes less transparent and more susceptible to misunderstandings by other developers maintaining it. Consider alternative approaches, such as returning a new modified list from the function, to enhance code clarity and readability.

The above is the detailed content of Why Does Assigning a New List to a Function Argument Not Modify the Original List in Python?. For more information, please follow other related articles on the PHP Chinese website!

source:php.cn
Statement of this Website
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
Latest Articles by Author
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template