Iterate Through Nested Json Object using Python
Working with nested JSON objects in Python can be a common task, especially when dealing with data from APIs or complex configurations. In this article, we'll explore some generally used methods to iterate through nested JSON objects using Python.
Iterate Through Nested Json Object
Below, are the method of Iterate Through Nested JSON Object in Python.
- Using For Loop
- Using List Comprehension
- Using Recursive Function
- Using json.dumps() Method
Iterate Through Nested Json Object Using For Loop
In this example, the Python code defines a function, `iterate_nested_json_for_loop`, which uses a for loop to recursively iterate through a nested JSON object and print key-value pairs.
# Using For Loop
def iterate_nested_json_for_loop(json_obj):
for key, value in json_obj.items():
if isinstance(value, dict):
iterate_nested_json_for_loop(value)
else:
print(f"{key}: {value}")
# Example usage with a nested JSON object
nested_json = {
"name": "John",
"age": 30,
"address": {
"city": "New York",
"zip": "10001"
}
}
print("Using For Loop")
iterate_nested_json_for_loop(nested_json)
Output
Using For Loop name: John age: 30 city: New York zip: 10001
Iterate Through Nested Json Object Using List Comprehension
In this example, the Python code defines a function, `iterate_nested_json_list_comprehension`, which utilizes list comprehension to recursively iterate through a nested JSON object, creating a list of tuples containing key-value pairs.
# Using List Comprehension
def iterate_nested_json_list_comprehension(json_obj):
items = [(key, value) if not isinstance(value, dict) else (key, iterate_nested_json_list_comprehension(value)) for key, value in json_obj.items()]
return items
# Example usage with a nested JSON object
nested_json = {
"name": "John",
"age": 30,
"address": {
"city": "New York",
"zip": "10001"
}
}
print("\nUsing List Comprehension")
result = iterate_nested_json_list_comprehension(nested_json)
print(result)
Output
Using List Comprehension
[('name', 'John'), ('age', 30), ('address', [('city', 'New York'), ('zip', '10001')])]Iterate Through Nested Json Object Using Recursive Function
In this example, the below Python code employs a recursive function, `iterate_nested_json_recursive`, using a traditional approach with a for loop to traverse through a nested JSON object and print its key-value pairs.
import json
# Using Recursive Function
def iterate_nested_json_recursive(json_obj):
for key, value in json_obj.items():
if isinstance(value, dict):
iterate_nested_json_recursive(value)
else:
print(f"{key}: {value}")
# Example usage with a nested JSON object
nested_json = {
"name": "John",
"age": 30,
"address": {
"city": "New York",
"zip": "10001"
}
}
print("\nUsing Recursive Function")
iterate_nested_json_recursive(nested_json)
Output
Using Recursive Function name: John age: 30 city: New York zip: 10001
Iterate Through Nested Json Object Using json.dumps() Method
In this example, the below Python code utilizes `json.dumps` to flatten a nested JSON object into a string and then uses `json.loads` to convert it back into a dictionary. It then iterates through the flattened dictionary, printing key-value pairs.
import json
# Using json.loads with json.dumps
def iterate_nested_json_flatten(json_obj):
flattened_json_str = json.dumps(json_obj)
flattened_json = json.loads(flattened_json_str)
for key, value in flattened_json.items():
print(f"{key}: {value}")
# Example usage with a nested JSON object
nested_json = {
"name": "John",
"age": 30,
"address": {
"city": "New York",
"zip": "10001"
}
}
print("\nUsing json.dumps")
iterate_nested_json_flatten(nested_json)
Output
Using json.dumps
name: John
age: 30
address: {'city': 'New York', 'zip': '10001'}
