json.loads(): parses a JSON-formatted string and returns it as a Python dictionary, list, or others

import json
my_str='true'
print(json.loads(my_str)) # True
print(type(json.loads(my_str))) # <class 'bool'>

import json
my_str='null'
print(json.loads(my_str)) # None
print(type(json.loads(my_str))) # <class 'NoneType'>

import json
my_str='["First","Second","Third"]'
print(json.loads(my_str)) # ['First', 'Second', 'Third']
print(type(json.loads(my_str))) # <class 'list'>

import json
my_str='{"id":"2","name":"Max Ruin","class1":"Three5","mark":"85"}'
print(json.loads(my_str)) # {'id': '2', 'name': 'Max Ruin', 'class1': 'Three5', 'mark': '85'}
print(type(json.loads(my_str))) # <class 'dict'>

Example 1: Decoding Nested JSON Data

import json
nested_json = '{"name": "John", "details": {"age": 30, "city": "New York"}}'
output = json.loads(nested_json)
print(output)  # Output: {'name': 'John', 'details': {'age': 30, 'city': 'New York'}}

{'name': 'John', 'details': {'age': 30, 'city': 'New York'}}

Example 2: Decoding JSON Array

import json
json_array = '[10, 20, 30, 40]'
output = json.loads(json_array)
print(output)  # Output: [10, 20, 30, 40]

[10, 20, 30, 40]

Example 3: Handling Malformed JSON Data

import json
malformed_json = '{"name": "John", "age": 30,'  # Missing closing bracket
try:
    output = json.loads(malformed_json)
except json.JSONDecodeError as e:
    print(f"Error: {e}")  # Output: Error message indicating malformed JSON

Error: Expecting property name enclosed in double quotes

Example 4: Decoding JSON with Boolean Values

import json
json_data = '{"is_active": true, "is_verified": false}'
output = json.loads(json_data)
print(output)

{'is_active': True, 'is_verified': False}

Subhendu Mohapatra

Author & Instructor at plus2net

I write and maintain practical tutorials on Python, PHP, SQL, JavaScript, HTML, jQuery, and web development at plus2net. The tutorials focus on clear explanations, working examples, and code that readers can test and adapt while learning.

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