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 bynamedtuple
. - Instances of
P
are objects of typePoint
that also subclasstuple
.
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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