When I type following code,
x=[1,2,4]
print(x)
print("x",id(x))
x=[2,5,3]
print(x)
print("x",id(x))
it gives the output as
[1, 2, 4]
x 47606160
[2, 5, 3]
x 47578768
If lists are mutable then why it give 2 memory address when changing the list x?
List of Mutable and Immutable objects. Objects of built-in type that are mutable are: Lists.
List, Sets, and Dictionary in Python are examples of some mutable data types in Python. Immutable data types are those, whose values cannot be modified once they are created. Examples of immutable data types are int, str, bool, float, tuple, etc.
Unlike strings, lists are mutable. This means we can change an item in a list by accessing it directly as part of the assignment statement. Using the indexing operator (square brackets) on the left side of an assignment, we can update one of the list items.
A list refers to a data structure in Python that is an ordered sequence of elements and it is mutable in nature. Furthermore, Python mutable lists may involve various data types like objects, integers and strings. Moreover, the lists, due to their mutable nature, can be altered after their creation.
You created a new list object and bound it to the same name, x
. You never mutated the existing list object bound to x
at the start.
Names in Python are just references. Assignment is binding a name to an object. When you assign to x
again, you are pointing that reference to a different object. In your code, you simply created a whole new list object, then rebound x
to that new object.
If you want to mutate a list, call methods on that object:
x.append(2)
x.extend([2, 3, 5])
or assign to indices or slices of the list:
x[2] = 42
x[:3] = [5, 6, 7]
Demo:
>>> x = [1, 2, 3]
>>> id(x)
4301563088
>>> x
[1, 2, 3]
>>> x[:2] = [42, 81]
>>> x
[42, 81, 3]
>>> id(x)
4301563088
We changed the list object (mutated it), but the id()
of that list object did not change. It is still the same list object.
Perhaps this excellent presentation by Ned Batchelder on Python names and binding can help: Facts and myths about Python names and values.
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