Learn effective techniques to serialize Python objects to JSON without encountering the "TypeError: Object of type {Type} is not JSON serializable".
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Serialization is a common task in Python, especially when working with APIs or saving data to files. However, when trying to convert Python objects to JSON format, you may run into the notorious TypeError: Object of type {Type} is not JSON serializable. This can be a bit of a roadblock if you don’t know how to handle non-serializable objects. Here, we'll explore some effective techniques to serialize your Python objects to JSON without running into this issue.
Understanding JSON and Python Objects
JSON (JavaScript Object Notation) is a lightweight data interchange format that's easy for humans to read and write and easy for machines to parse and generate. Python’s built-in json module provides functions to encode and decode JSON. However, not all Python objects can be directly converted to JSON.
To serialize a Python object using json.dumps(), the object must be of one of the following types:
int
float
str
list
tuple
dict
NoneType
Trying to serialize any other type, such as a custom class instance, will raise a TypeError.
Handling Non-Serializable Objects
Use default parameter in json.dumps():
One approach to handling non-serializable objects is to provide a custom serialization function using the default parameter of the json.dumps() function. This function will be called for objects that are not serializable by default.
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Convert to a serializable format:
Sometimes you can convert your objects to a serializable format before calling json.dumps().
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Use json.JSONEncoder subclass:
Another way is to subclass json.JSONEncoder to handle the serialization of custom types.
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Conclusion
Encountering a TypeError when serializing Python objects to JSON is a common issue, but it’s manageable with the right techniques. By using the default parameter in json.dumps(), converting objects to serializable formats, or subclassing json.JSONEncoder, you can effectively serialize complex Python objects without the hassle of encountering errors.
Happy coding!