Modelo

  • EN
    • English
    • Español
    • Français
    • Bahasa Indonesia
    • Italiano
    • 日本語
    • 한국어
    • Português
    • ภาษาไทย
    • Pусский
    • Tiếng Việt
    • 中文 (简体)
    • 中文 (繁體)

How to Create a Copy of an Object in Python

Oct 01, 2024

Hey everyone, in this video, we're going to be talking about how to create a copy of an object in Python. This is a common task in programming, and Python provides us with two primary ways to accomplish this: shallow copy and deep copy. Let's get started!

First, let's take a look at shallow copy. A shallow copy creates a new object but doesn't create new copies of the nested objects within it. Instead, it simply copies the references to the nested objects. We can accomplish this using the built-in `copy` module in Python. Here's an example:

```python

import copy

original_list = [1, 2, [3, 4]]

shallow_copied_list = copy.copy(original_list)

print(shallow_copied_list)

# Output: [1, 2, [3, 4]]

# Now let's modify the nested list in the shallow copy

shallow_copied_list[2][0] = 5

print(original_list)

# Output: [1, 2, [5, 4]]

```

As you can see, modifying the nested list in the shallow copied object also affects the original object. This is because they both reference the same nested list.

Next, let's move on to deep copy. A deep copy creates a new object and recursively creates new copies of all the objects found in the original. This can be achieved using the `deepcopy` function from the `copy` module. Here's an example:

```python

import copy

original_list = [1, 2, [3, 4]]

deep_copied_list = copy.deepcopy(original_list)

print(deep_copied_list)

# Output: [1, 2, [3, 4]]

# Now let's modify the nested list in the deep copy

deep_copied_list[2][0] = 5

print(original_list)

# Output: [1, 2, [3, 4]]

```

In this case, modifying the nested list in the deep copied object does not affect the original object. This is because they are completely independent copies of each other.

In conclusion, when you need to create a copy of an object in Python, you can use either shallow copy or deep copy, depending on your specific requirements. Shallow copy is more memory efficient, but changes to nested objects may affect the original object. Deep copy, on the other hand, creates fully independent copies, but may be less memory efficient for large objects.

I hope you found this video helpful. If you did, please give it a thumbs up and subscribe to the channel for more Python tutorials. Thanks for watching!

Recommend