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How Can I Avoid Unintended List Modifications in Python When Passing Lists to Functions?

Mary-Kate Olsen
Release: 2024-12-02 01:43:10
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How Can I Avoid Unintended List Modifications in Python When Passing Lists to Functions?

Passing Lists by Value, Not by Reference

When dealing with lists in Python, it's important to understand the concept of pass-by-reference, where changes made to a list referenced by another variable are reflected in both variables. This can lead to unexpected behavior, especially when working with multiple references to the same list.

Consider the following example:

a = ['help', 'copyright', 'credits', 'license']
b = a
b.append('XYZ')
print(b)  # Output: ['help', 'copyright', 'credits', 'license', 'XYZ']
print(a)  # Output: ['help', 'copyright', 'credits', 'license', 'XYZ']
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In this example, b is a reference to the same list as a. When we append 'XYZ' to b, it is also added to a, as both variables point to the same underlying list. This is known as pass-by-reference.

To avoid this, we need to pass the list by value instead. In Python, this can be achieved by creating a copy of the original list. There are several ways to do this, but the most common is to use the slice operator:

b = a[:]
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This creates a new list that contains a copy of the elements from a. Any changes made to b will not affect a, and vice versa. For example:

b.append('ABC')
print(b)  # Output: ['help', 'copyright', 'credits', 'license', 'XYZ', 'ABC']
print(a)  # Output: ['help', 'copyright', 'credits', 'license', 'XYZ']
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In this case, appending 'ABC' to b does not affect a, as they now refer to different lists.

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