3. Collections

It is an unordered collection where elements are stored as dictionary keys and their counts are stored as dictionary values. Counts are allowed to be any integer value including zero or negative counts. The Counter class is similar to bags or multisets in other languages.

This module implements specialized container datatypes providing alternatives to Python’s general purpose built-in containers, dict, list, set, and tuple.

Name Description
namedtuple() factory function for creating tuple subclasses with named fields
deque list-like container with fast appends and pops on either end
ChainMap dict-like class for creating a single view of multiple mappings
Counter dict subclass for counting hashable objects
OrderedDict dict subclass that remembers the order entries were added
defaultdict dict subclass that calls a factory function to supply missing values
UserDict wrapper around dictionary objects for easier dict subclassing
UserList wrapper around list objects for easier list subclassing
UserString wrapper around string objects for easier string subclassing
jose = {'first_name': 'José', 'last_name': 'Jiménez', 'agency': 'NASA'}

# {'first_name': 'José', 'last_name': 'Jiménez', 'agency': 'NASA'}

print(jose['first_name'], jose['last_name'], jose['agency'])
# José Jiménez NASA

3.1. OrderedDict

from collections import OrderedDict

jose = OrderedDict(first_name='José', last_name='Jiménez', agency='NASA')
# OrderedDict([('first_name', 'José'), ('last_name', 'Jiménez'), ('agency', 'NASA')])

3.2. namedtuple

from collections import namedtuple

Astronaut = namedtuple('Astronaut', ['first_name', 'last_name', 'agency'])
jose = Astronaut(first_name='José', last_name='Jiménez', agency='NASA')

# Astronaut(first_name='José', last_name='Jiménez', agency='NASA')

print(jose.first_name, jose.last_name, jose.agency)
# José Jiménez NASA