Dictionary in Python is an unordered collection of data values that are used to store data values like a map. Unlike other Data Types that hold only single value as an element, the Dictionary holds key:value pair. In Dictionary, the key must be unique and immutable. This means that a Python Tuple can be a key whereas a Python List can not. A Dictionary can be created by placing a sequence of elements within curly {} braces, separated by ‘comma’.
Example:
# Python program to demonstrate # dictionary Dict = {1: 'Geeks', 2: 'For', 3: 'Geeks'} print("Dictionary:") print(Dict) print(Dict[1]) # Uncommenting this print(Dict[4]) # will raise a KeyError as the # 4 is not present in the dictionary |
Output:
Dictionary:
{1: 'Geeks', 2: 'For', 3: 'Geeks'}
Geeks
Traceback (most recent call last):
File "/home/1ca83108cc81344dc7137900693ced08.py", line 11, in
print(Dict[4])
KeyError: 4
Sometimes, when the KeyError is raised, it might become a problem. To overcome this Python introduces another dictionary like container known as Defaultdict which is present inside the collections module.
Note: For more information, refer to Python Dictionary.
DefaultDict
Defaultdict is a container like dictionaries present in the module collections. Defaultdict is a sub-class of the dict class that returns a dictionary-like object. The functionality of both dictionaries and defualtdict are almost same except for the fact that defualtdict never raises a KeyError. It provides a default value for the key that does not exists.
Syntax: defaultdict(default_factory)
Parameters:
- default_factory: A function returning the default value for the dictionary defined. If this argument is absent then the dictionary raises a
KeyError.
Example:
# Python program to demonstrate # defaultdict from collections import defaultdict # Function to return a default # values for keys that is not # present def def_value(): return "Not Present" # Defining the dict d = defaultdict(def_value) d["a"] = 1d["b"] = 2 print(d["a"]) print(d["b"]) print(d["c"]) |
Output:
1 2 Not Present
Inner Working of defaultdict
Defaultdict 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__.
- Default_factory: It is a function returning the default value for the dictionary defined. If this argument is absent then the dictionary raises a
KeyError.Example:
# Python program to demonstrate# default_factory argument of# defaultdictfromcollectionsimportdefaultdict# Defining the dict and passing# lambda as default_factory argumentd=defaultdict(lambda:"Not Present")d["a"]=1d["b"]=2print(d["a"])print(d["b"])print(d["c"])chevron_rightfilter_noneOutput:
1 2 Not Present
- __missing__(): This function is used to provide the default value for the dictionary. This function takes default_factory as an argument and if this argument is
None, aKeyErroris 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.Example:
# Python program to demonstrate# defaultdictfromcollectionsimportdefaultdict# Defining the dictd=defaultdict(lambda:"Not Present")d["a"]=1d["b"]=2# Provides the default value# for the keyprint(d.__missing__('a'))print(d.__missing__('d'))chevron_rightfilter_noneOutput:
Not Present Not Present
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.
Example:
# Python program to demonstrate # defaultdict from collections import defaultdict # Defining a dict d = defaultdict(list) for i in range(5): d[i].append(i) print("Dictionary with values as list:") print(d) |
Output:
Dictionary with values as list:
defaultdict(<class 'list'>, {0: [0], 1: [1], 2: [2], 3: [3], 4: [4]})
Using int as default_factory
When the int class is passed as the default_factory argument, then a defaultdict is created with default value as zero.
Example:
# Python program to demonstrate # defaultdict from collections import defaultdict # Defining the dict d = defaultdict(int) L = [1, 2, 3, 4, 2, 4, 1, 2] # Iterate through the list # for keeping the count for i in L: # The default value is 0 # so there is no need to # enter the key first d[i] += 1 print(d) |
Output:
defaultdict(<class 'int'>, {1: 2, 2: 3, 3: 1, 4: 2})
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