python object is not json serializable
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Title: Handling Non-Serializable Objects in Python: A Guide to JSON Serialization
Introduction:
In Python, the process of converting a Python object into a JSON string is known as serialization. However, not all Python objects are directly serializable to JSON. Objects such as custom classes, datetime objects, or complex data structures may raise a TypeError when attempting to serialize them using the json.dumps() function. This tutorial will guide you through the process of handling non-serializable objects and provide solutions to overcome these issues.
Example Scenario:
Let's consider a scenario where you have a Python object containing a datetime object that you want to serialize to JSON:
Executing the above code will result in a TypeError:
Now, let's explore solutions to handle this situation.
Solution 1: Using a Custom Encoder
You can create a custom JSON encoder class by subclassing json.JSONEncoder and override its default method to handle non-serializable objects.
Solution 2: Using a Custom Serialization Function
Alternatively, you can define a custom serialization function to convert non-serializable objects before calling json.dumps().
Conclusion:
Handling non-serializable objects is a common challenge when working with JSON serialization in Python. By using custom encoders or serialization functions, you can extend the default behavior of json.dumps() to handle specific types of objects and ensure a smooth serialization process for your data.
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