Python - Collections Module

The collections module provides alternatives to built-in container data types such as list, tuple and dict.


The namedtuple() function returns a tuple-like object with named fields. These field attributes are accessible by lookup as well as by index.

General usage of this function is:

collections.namedtuple(type_name, field-list)

The following statement declares a student class having name, age and marks as fields.

Example: Declare a Named Tuple
>>> import collections
>>> student = collections.namedtuple('student', [name, age, marks])

To create a new object of this namedtuple, do the following:

Example: Create Object of Named Tuple
>>> s1 = student("Imran", 21, 98)

The values of the field can be accessible by attribute lookup:

Example: Access Named Tuple

Or by index:

Example: Access Named Tuple


The OrderedDict() function is similar to a normal dictionary object in Python. However, it remembers the order of the keys in which they were first inserted.

Example: Ordered Dictionary
import collections

d1 = collections.OrderedDict()
d1['A'] = 65
d1['C'] = 67
d1['B'] = 66
d1['D'] = 68

for k,v in d1.items():
    print (k,v)
A 65
C 67
B 66
D 68

Upon traversing the dictionary, pairs will appear in the order of their insertion.


A deque object support appends and pops from either ends of a list. It is more memory efficient than a normal list object. In a normal list object, the removal of any item causes all items to the right to be shifted towards left by one index. Hence, it is very slow.

Example: Deque
>>> q=collections.deque([10,20,30,40])
>>> q.appendleft(0)
>>> q
deque([0, 10, 20, 30, 40])
>>> q.append(50)
>>> q
deque([0, 10, 20, 30, 40, 50])
>>> q
deque([0, 10, 20, 30, 40])
>>> q.popleft()
>>> q
deque([10, 20, 30, 40])

Learn more about the collections module in Python docs.