id() Function in Python: What’s It Good For?

The id() function in Python is a built-in function that returns the unique identity of an object. This identity is an integer that is guaranteed to be unique and constant for the object during its lifetime .

The id() function can be used to determine whether two variables refer to the same object in memory . This is helpful when determining the type of copy you have with two variables: if they refer to the same id() number then they are referencing the same object , on the other hand if they refer to two distinct id() numbers then while the objects may contain the same content they are different objects.

Here’s a quick example demonstrating this concept using lists:

>>> list1 = [1, 2, 3]
>>> id(list1)
140628379671424
>>> list2 = [1, 2, 3]
>>> id(list2)
140628380479552

This Python code consists of several lines that perform the following operations:

1. list1 = [1, 2, 3] : Creates a list named list1 variable that contains a simple 3 integer list: 1, 2, and 3.
2. id(list1) : The id() function is called with list1 as its argument. It returns the unique identifier (memory address) for the list1 object, an integer value. In this case, the memory address is 140628379671424 . (Note that the memory address will vary each time you run the code, depending on where Python allocates memory for the list.)
3. list2 = [1, 2, 3] : Creates another list named list2 , which also contains 3 integer elements: 1, 2, and 3.
4. id(list2) : The id() function is called again, this time with list2 as its argument. It returns the unique identifier (memory address) for the list2 object, which is an integer value. In this case, the memory address is 140628380479552 . As mentioned before, the actual memory address will vary each time you run the code, depending on where Python allocates memory for the list.

This code creates two separate lists, list1 and list2 , containing the same elements (1, 2, and 3). Although the elements of list2 are the same as those in list1 , these are two separate list objects stored in different memory locations.

This means when an object is created in Python, it is assigned a unique integer identifier that is used to distinguish it from other objects. The identity is based on the object’s memory address, a unique location in the computer’s memory and the id() function returns this memory address as an integer.

But what does it mean when two variables have the same memory address?

Have a look at the following example:

>>> list1 = [1, 2, 3]
>>> id(list1)
140628380473280
>>> list2 = list1
>>> print(list2)
[1, 2, 3]
>>> id(list2)
140628380473280

Notice the example above is almost very similar to the previous example, except for one minor change: list2 = list1 . In the previous example list2 was assigned a list of integers, but in this example it is assigned to the list1 variable.

And notice the contents of list2 are the same: [1, 2, 3] .

But see how this time the id(list2) does not return a distinct memory address different from the id() returned by list1 – this time, it’s the same.

This means if we continue with the above code by modifying the list it will affect the results of the other:

>>> list1 = [1, 2, 3]
>>> id(list1)
140628380473280
>>> list2 = list1
>>> print(list2)
[1, 2, 3]
>>> id(list2)
140628380473280
>>> list1.append(100)
>>> print(list2)
[1, 2, 3, 100]

Notice how the appending of 100 was performed on the variable list1 , and yet when you print list2 , it produces a list with 100 appended to it.

This is what happens when you operate on variables that refer to the same object – whatever is performed through one variable will affect the result of the other variable too.

Remember: if the id() of two variables is the same, they refer to the same object in memory. This can be useful when you want to avoid creating duplicate objects and is handy when passing a variable around in multiple functions.

id() Examples

The id() function is often used in conjunction with the is operator to compare two objects. The is operator compares the identity of two objects, while the == operator compares their values.

For example, if x and y are two objects, x is y will return True if x and y have the same identity, while x == y will return True if x and y have the same value.

Here is an example demonstrating this concept:

>>> text1 = "Hello, world!"
>>> text2 = "Hello, world!"
>>> id(text1)
140628380315504
>>> id(text2)
140628376773936
>>> text1 == text2
True
>>> text1 is text2
False

As you can see from the above code, two distinct variables are created text1 and text2 which contain the same content "Hello, world!" .

Each variable has its memory address output using the id() function.

The first check using == comparison returns True because both variables contain the same value .

However, when the comparative operator is is used the result is False because both variables reference different objects in memory.

The same would apply even with the previous example using lists, as demonstrated below:

>>> list1 = [1, 2, 3]
>>> list2 = [1, 2, 3]
>>> id(list1)
140628380545344
>>> id(list2)
140628380476800
>>> list1 == list2
True
>>> list1 is list2
False

Can id() Change?

The short answer is yes . The memory address of an object in Python can change during its lifecycle. Python uses a dynamic memory allocation system, where objects are created and destroyed as needed. When an object is created, Python assigns it a memory address, which can change if the object is modified or moved in memory.

Here are a few examples of how the memory address of an object can change in Python:

• When a list is extended, the memory address of the list may change if the list needs to be reallocated in memory to accommodate the new items.
• When a dictionary is updated, the memory address of the dictionary may change if the dictionary needs to be resized to accommodate the new key-value pairs.
• When the garbage collector runs, the memory address of any object that is moved in memory may change.

While the memory address of an object can change during its lifecycle in Python, this is not something that most Python developers need to worry about. Python’s memory management system is designed to handle these changes automatically, so developers can focus on writing code without worrying about memory management.

id() Summary

In conclusion, the id() function in Python is a built-in function that returns the identity of an object. This identity is a unique integer that represents the object’s memory address. The id() function is useful in determining whether two variables refer to the same object in memory.

While the id() function can be useful in certain situations, it should be used with caution. It is important to note that the identity of an object can change during the lifetime of the program, particularly if the object is mutable. Additionally, the id() function should not be used as a substitute for equality testing. Two objects with different identities can still be considered equal if their values are the same.