A shipment row contains a product name, price and quantity.
What You Need to Understand
collections.namedtuple() creates tuple-like records with readable field names. Instances preserve tuple behavior while letting you access attributes instead of remembering numeric positions.
When to Use It
A shipment row contains a product name, price and quantity.
Step-by-Step Python Example
from collections import namedtuple
Product = namedtuple("Product", ["name", "price", "quantity"])
item = Product("Pencil", 1.5, 4)
print(item.name)
print(item.price * item.quantity)How the Example Works
The generated record can be unpacked like a tuple, but item.name makes code easier to understand.
Example Output
Pencil
6.0
3A Second Example
Compare this smaller variation with the main example, then experiment with your own values.
from collections import namedtuple
Point = namedtuple("Point", "x y")
print(Point(3, 4).x)Important Behavior and Edge Cases
Named tuples are immutable at the top level; editing a field requires creating a replacement. For more complex records consider a dataclass.
Try It Yourself
Create a named tuple named Point with fields x and y.
Common Beginner Mistakes
- Named tuples are immutable at the top level; editing a field requires creating a replacement. For more complex records consider a dataclass.
- Assuming every sequence operation modifies the original data or that a tuple makes nested mutable objects immutable.
Key Takeaways
collections.namedtuple()creates tuple-like records with readable field names.- The generated record can be unpacked like a tuple, but
item.namemakes code easier to understand. - Named tuples are immutable at the top level; editing a field requires creating a replacement.