Named tuples in Python are an extension of the built-in tuple data type, allowing you to give meaningful names to the elements of a tuple. In others words, named tuples are tuples with named attributes. Isn't that cool?
They are part of the collections module and provide a way to define simple, immutable classes in a simpler way.
Wait what, classes?
Yes, classes.
Named tuples are essentially immutable classes.
This is the magic that occurs: when you create a named tuple using namedtuple, the result is not an instance of the tuple itself, but rather a dynamically generated class that inherits from tuple. Again, cool!!
Let's see how this works.
from collections import namedtuple P = namedtuple("Point", "x y")
When you run P = namedtuple("Point", "x y"), you are creating a new class named Point (as specified in the first argument to namedtuple).
The namedtuple function uses type behind the scenes to dynamically create a new class named Point that inherits from tuple. This new class is stored in the variable P.
And as with classes, the type is type.
> type(P) class 'type'
> class A: pass > type(A) class 'type'
And what type is the instance of a namedtuple?
from collections import namedtuple P = namedtuple("Point", "x y") p = P(1,2) > print(type(p)) class '__main__.Point'
p is an instance of type Point. But it's also a tuple:
> print(isinstance(p, tuple)) True
In summary:
- P is a class generated dynamically by namedtuple.
- Instances of P are objects of type Point that also subclass tuple.
And one last thing:
It's very common to name the namedtuple variable (what we called P) with the same name as the type name (what we called Point), the dynamically created class:
from collections import namedtuple Point = namedtuple("Point", "x y")
I used a different name to make clear the distinction between thw two.
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