Serialize a Python Class Object to JSON

Serialize a Python Class Object to JSON

  1. Serialization in Python
  2. Make a Python Class JSON Serializable

This tutorial educates about the serialization process. It also illustrates how we can make a JSON class serializable using the toJSON() method and wrapping JSON to dump in its class.

Serialization in Python

The serialization process involves transforming an object into a format that can be preserved and retrieved later. Such as by recording the state of an object into a file.

All developers must do serialization at some point for all projects that are even remotely sophisticated. The Python programming language’s simplicity in many typical programming jobs is one of its excellent features.

With a few lines of code, file IO, drawing graphs, and accessing online content are all made simple. Likewise, python makes serialization simple, except when trying to serialize a custom class.

Let’s learn how to serialize your class objects to JSON objects below.

Make a Python Class JSON Serializable

The built-in json module of Python can handle only Python primitive types with a direct JSON counterpart.

Expressly, the default functionality of the JSON encoder, json.dump() and json.dumps() is limited to serializing the most basic set of object types (e.g., dictionary, lists, strings, numbers, None, etc.).

To fix this, we must create a unique encoder that allows our class JSON to be serializable.

It is possible to make a Python class JSON serializable in various methods. Choose the option that best fits the complexity of your situation.

There are two primary methods of making a JSON class serializable that are given below:

  1. The toJSON() method
  2. Wrap JSON to dump in its class

Use the toJSON() Method to Make a JSON Class Serializable

We can implement the serializer method instead of the JSON serializable class. For example, in this method, the Object class might have a JSON function that returns a dictionary of the Object information.

Since all of the Object attributes are native types, we can send this dictionary into an encoding function to obtain the JSON notation. Finally, we return the values of the attributes that make up an object.

import json

class Object:
    def toJSON(self):
        return json.dumps(self, default=lambda o: o.__dict__,sort_keys=True, indent=4)

me = Object() = "kelvin"
me.age = 20 = Object() = "Brunno"


    "age": 20,
    "dog": {
        "name": "Brunno"
    "name": "kelvin"

Wrap JSON to Dump in Its Class

Another solution is to subclass a JsonSerializable class to create a FileItem class that wraps JSON dumping, as shown in the following code.

Example Code:

from typing import List
from dataclasses import dataclass, asdict, field
from json import dumps

class Students:
    id: 1
    name: "stu1"

    def __dict__(self):
        return asdict(self)

    def json(self):
        return dumps(self.__dict__)

test_object_1 = Students(id=1, name="Kelvin")


{"id": 1, "name": "Kelvin"}
Zeeshan Afridi avatar Zeeshan Afridi avatar

Zeeshan is a detail oriented software engineer that helps companies and individuals make their lives and easier with software solutions.


Related Article - Python JSON

  • Get JSON From URL in Python
  • Pretty Print a JSON File in Python
  • Append Data to a JSON File Using Python
  • Flatten JSON in Python
  • Python Compare Multilevel JSON Objects Using JSON Diff
  • Related Article - Python Class

  • Python Generator Class
  • Data Class Inheritance in Python
  • Python Abstract Property
  • Python Class Factory
  • Python Class Equality