Nested Dictionaries
Nested dictionaries in Python refer to dictionaries that are stored as values within another dictionary. In other words, a dictionary can contain other dictionaries as its values, forming a hierarchical or nested structure.
Nested dictionaries can be modified, updated, or extended in the same way as regular dictionaries. You can add, remove, or update key-value pairs at any level of the nested structure.
Creating a Nested Dictionary in Python
We can create a nested dictionary in Python by defining a dictionary where the values of certain keys are themselves dictionaries. This allows for the creation of a hierarchical structure where each key-value pair represents a level of nested information. This can be achieved in several ways −
Example: Direct Assignment
In this approach, we can directly assign dictionaries as values to outer keys within a single dictionary definition −
# Define the outer dictionary
nested_dict ={"outer_key1":{"inner_key1":"value1","inner_key2":"value2"},"outer_key2":{"inner_key3":"value3","inner_key4":"value4"}}print(nested_dict)
Example: Using a Loop
With this method, an empty outer dictionary is initialized, and then populated with dictionaries as values using a loop to define nested dictionaries −
# Define an empty outer dictionary
nested_dict ={}# Add key-value pairs to the outer dictionary
outer_keys =["outer_key1","outer_key2"]for key in outer_keys:
nested_dict[key]={"inner_key1":"value1","inner_key2":"value2"}print(nested_dict)
Adding Items to a Nested Dictionary in Python
Once a nested dictionary is created, we can add items to it by accessing the specific nested dictionary using its key and then assigning a new key-value pair to it.
Example
In the following example, we are defining a nested dictionary “students” where each key represents a student’s name and its value is another dictionary containing details about the student.
Then, we add a new key-value pair to Alice’s nested dictionary and add a new nested dictionary for a new student, Charlie −
# Initial nested dictionary
students ={"Alice":{"age":21,"major":"Computer Science"},"Bob":{"age":20,"major":"Engineering"}}# Adding a new key-value pair to Alice's nested dictionary
students["Alice"]["GPA"]=3.8# Adding a new nested dictionary for a new student
students["Charlie"]={"age":22,"major":"Mathematics"}print(students)
It will produce the following output −
{'Alice': {'age': 21, 'major': 'Computer Science', 'GPA': 3.8}, 'Bob': {'age': 20, 'major': 'Engineering'}, 'Charlie': {'age': 22, 'major': 'Mathematics'}}
Accessing Items of a Nested Dictionary in Python
Accessing items of a nested dictionary in Python refers to retrieving values stored within the nested structure by using a series of keys. Each key corresponds to a level in the hierarchy of the dictionary.
We can achieve this through direct indexing with square brackets or by using the get() method
Example: Using Direct Indexing
In this approach, we access values in a nested dictionary by specifying each key in a sequence of square brackets. Each key in the sequence refers to a level in the nested dictionary, progressing one level deeper with each key −
# Define a nested dictionary
students ={"Alice":{"age":21,"major":"Computer Science"},"Bob":{"age":20,"major":"Engineering"},"Charlie":{"age":22,"major":"Mathematics"}}# Access Alice's major
alice_major = students["Alice"]["major"]print("Alice's major:", alice_major)# Access Bob's age
bob_age = students["Bob"]["age"]print("Bob's age:", bob_age)
Following is the output of the above code −
Alice's major: Computer Science
Bob's age: 20
Example: Using the get() Method
The get() method is used to fetch the value associated with the specified key. If the key does not exist, it returns a default value (which is None if not specified) −
# Define a nested dictionary
students ={"Alice":{"age":21,"major":"Computer Science"},"Bob":{"age":20,"major":"Engineering"},"Charlie":{"age":22,"major":"Mathematics"}}# Access Alice's major using .get()
alice_major = students.get("Alice",{}).get("major","Not Found")print("Alice's major:", alice_major)# Safely access a non-existing key using .get()
dave_major = students.get("Dave",{}).get("major","Not Found")print("Dave's major:", dave_major)
Output of the above code is as follows −
Alice's major: Computer Science
Dave's major: Not Found
Deleting a Dictionary from a Nested Dictionary
We can delete dictionaries from a nested dictionary by using the del keyword. This keyword allows us to remove a specific key-value pair from the nested dictionary.
Example
In the following example, we delete the nested dictionary for “Bob” from “students” dictionary using the del statement −
# Define a nested dictionary
students ={"Alice":{"age":21,"major":"Computer Science"},"Bob":{"age":20,"major":"Engineering"},"Charlie":{"age":22,"major":"Mathematics"}}# Delete the dictionary for Bobdel students["Bob"]# Print the updated nested dictionaryprint(students)
We get the output as shown below −
{'Alice': {'age': 21, 'major': 'Computer Science'}, 'Charlie': {'age': 22, 'major': 'Mathematics'}}
Iterating Through a Nested Dictionary in Python
Iterating through a nested dictionary refers to looping through the keys and values at each level of the dictionary. This allows you to access and manipulate items within the nested structure.
We can iterate through a nested dictionary by using nested loops. The outer loop iterates over the keys and values of the main dictionary, while the inner loop iterates over the keys and values of the nested dictionaries.
Example
In this example, we are iterating through the “students” dictionary, retrieving each student’s name and their corresponding details by iterating through the nested dictionaries −
# Defining a nested dictionary
students ={"Alice":{"age":21,"major":"Computer Science"},"Bob":{"age":20,"major":"Engineering"},"Charlie":{"age":22,"major":"Mathematics"}}# Iterating through the Nested Dictionary:for student, details in students.items():print(f"Student: {student}")for key, value in details.items():print(f" {key}: {value}")
The output obtained is as shown below −
Student: Alice
age: 21
major: Computer Science
Student: Bob
age: 20
major: Engineering
Student: Charlie
age: 22
major: Mathematics
