Serialization and Deserialization of JSON Object
Python and the JSON module work exceptionally well with dictionaries. For serializing and deserializing JSON objects in Python, you can utilize the “__dict__ “attribute available on many Python objects.
This attribute is a dictionary used to store an object’s writable attributes. You can leverage this attribute effectively when working with JSON data, making the process seamless and efficient.
Code:
Python3
import jsonclass GFG_User(object): def __init__(self, first_name: str, last_name: str): self.first_name = first_name self.last_name = last_name user = GFG_User(first_name="Jake", last_name="Doyle")json_data = json.dumps(user.__dict__)print(json_data)print(GFG_User(**json.loads(json_data))) |
Output:
{"first_name": "Jake", "last_name": "Doyle"}
__main__.GFG_User object at 0x105ca7278
Note: The double asterisks ** in the GFG_User(**json.load(json_data) line may look confusing. But all it does is expand the dictionary.
Serialize and Deserialize complex JSON in Python
JSON stands for JavaScript Object Notation. It is a format that encodes the data in string format. JSON is language-independent and because of that, it is used for storing or transferring data in files.
Serialization of JSON object: It means converting a Python object (typically a dictionary) into a JSON formatting string.
Deserialization of JSON object: It is just the opposite of serialization, meaning converting a JSON-formatted string back to a Python Object.
JSON Object is defined using curly braces{} and consists of a key-value pair. It is important to note that the JSON object key is a string and its value can be any primitive(e.g. int, string, null) or complex data type (e.g. array).
Example of JSON Object:
{
"id":101,
"company" : "w3wiki"
}
Complex JSON objects are those objects that contain a nested object inside the other. Example of Complex JSON Object.
{
"id":101,
"company" : "w3wiki",
"Topics" : { "Data Structure",
"Algorithm",
"Gate Topics" }
}