Last Updated : 01 Jul, 2025
In Python, defaultdict is a subclass of the built-in dict class from the collections module. It is used to provide a default value for a nonexistent key in the dictionary, eliminating the need for checking if the key exists before using it.
Python
from collections import defaultdict
d = defaultdict(list)
d['fruits'].append('apple')
d['vegetables'].append('carrot')
print(d)
print(d['juices'])
defaultdict(<class 'list'>, {'fruits': ['apple'], 'vegetables': ['carrot']}) []
Explanation: This code creates a defaultdict with a default value of an empty list. It adds elements to the 'fruits' and 'vegetables' keys. When trying to access the 'juices' key, no KeyError is raised, and an empty list is returned since it doesn't exist in the dictionary.
Key Features of defaultdict:defaultdict(default_factory)
Parameters:
Return Value: It returns a dictionary-like object that automatically provides a default value for missing keys, based on the specified callable, instead of raising a KeyError.
How Does defaultdict Work?When a defaultdict is created, you specify a factory function that will provide the default value for new keys. This factory function could be int, list, str, or any other callable object. For example:
It is a function returning the default value for the dictionary defined. If this argument is absent then the dictionary raises a KeyError.
Python
from collections import defaultdict
# Defining the dict and passing lambda as default_factory argument
d = defaultdict(lambda: "Not Present")
d["a"] = 1
d["b"] = 2
print(d["a"])
print(d["b"])
print(d["c"])
Use Cases for defaultdict 1. Using List as Default Factory
When the list class is passed as the default_factory argument, then a defaultdict is created with the values that are list.
Python
from collections import defaultdict
d = defaultdict(list)
for i in range(5):
d[i].append(i)
print("Dictionary with values as list:")
print(d)
Dictionary with values as list: defaultdict(<class 'list'>, {0: [0], 1: [1], 2: [2], 3: [3], 4: [4]})
Explanation: This example demonstrates the use of list as the default factory. A defaultdict is created with list, which means any missing key will automatically have an empty list as its value. The loop appends the value of i to the list of the corresponding key.
2. Using int Default FactoryWhen the int class is passed as the default_factory argument, then a defaultdict is created with default value as zero.
Python
from collections import defaultdict
d = defaultdict(int)
a = [1, 2, 3, 4, 2, 4, 1, 2]
for i in a:
d[i] += 1
print(d)
defaultdict(<class 'int'>, {1: 2, 2: 3, 3: 1, 4: 2})
Explanation: This example uses int as the default factory. int() returns 0, so missing keys will have a default value of 0. The loop counts the occurrences of each number in the list a and updates the dictionary accordingly.
3. Using str Default FactoryWhen the str class is passed as the default_factory argument.
Python
from collections import defaultdict
# Using str as the factory function
sd = defaultdict(str)
sd['greeting'] = 'Hello'
print(sd)
defaultdict(<class 'str'>, {'greeting': 'Hello'})
Explanation: This example uses str as the default factory. str() returns an empty string, so missing keys will have an empty string as their default value. A value ('Hello') is explicitly set for the key 'greeting'.
Python defaultdict Type for Handling Missing KeysDefaultdict adds one writable instance variable and one method in addition to the standard dictionary operations. The instance variable is the default_factory parameter and the method provided is __missing__.
This function is used to provide the default value for the dictionary. It takes default_factory as an argument and if this argument is None, a KeyError is raised otherwise it provides a default value for the given key. This method is basically called by the __getitem__() method of the dict class when the requested key is not found. __getitem__() raises or return the value returned by the __missing__(). method.
Python
from collections import defaultdict
d = defaultdict(lambda: "Not Present")
d["a"] = 1
d["b"] = 2
print(d.__missing__('a'))
print(d.__missing__('d'))
Not Present Not Present
Explanation:
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