Today I learned how to use the namedtuple from the module collections.

The Python import statement that allows us to use the Python module `selectors`.


The module collections is a gold mine of useful Python tools, and one of those tools is the namedtuple.

A named tuple is like a tuple, with the added functionality that you can access the contents of the tuple by name, instead of just by position.

For example, the tuple

>>> me = ("Rodrigo", "mathsppblog")

can represent me, in the sense that me[0] is my first name and me[1] is my Twitter handle. If me were a named tuple, I would not have to remember the order of the items inside the tuple, I could just do something like

>>> me.twitter

Of course you could also do this with a class:

class Person:
    def __init__(self, name, twitter): = name
        self.twitter = twitter

This also works, but that's also more work!

How to create a namedtuple

So, how do you create a namedtuple? After the appropriate imports, you just need to call the factory function namedtuple:

>>> from collections import namedtuple
>>> Person = namedtuple("Person", ["name", "twitter"])
>>> me = Person("Rodrigo", "mathsppblog")
>>> me.twitter
>>> me[1]

That's all it takes!

Reading the docs will show you how powerful named tuples can be, and even shows two nice use cases for them. I'll reproduce one here.

Suppose you have the following CSV file twitter_people.csv:


You want to read this data in, and use this data to build Person named tuples like the named tuple me above.

By using the module csv (to read the CSV data) and the _make function of the named tuple, this is possible:

>>> from collections import namedtuple
>>> Person = namedtuple("Person", ["name", "twitter"])

>>> import csv
>>> with open("twitter_people.csv", "r") as f:
...     reader = csv.reader(f)
...     for person in map(Person._make, reader):
...         print(f"{} is on Twitter @{person.twitter}!")
Rodrigo is on Twitter @mathsppblog!
Mike is on Twitter @driscollis!
Will is on Twitter @willmcgugan!

That's it for now! Stay tuned and I'll see you around!

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