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Unexpected Null Values When Parsing JSON Arrays in Python Using `json` Library

๐Ÿ‘€ Views: 2 ๐Ÿ’ฌ Answers: 1 ๐Ÿ“… Created: 2025-06-11
json python parsing Python

I keep running into I'm stuck on something that should probably be simple... I'm working with unexpected `None` values when attempting to parse a JSON array in Python using the built-in `json` library. The JSON data I'm working with is structured as follows: ```json { "users": [ { "name": "Alice", "age": 30 }, { "name": "Bob", "age": null }, { "name": "Charlie" } ] } ``` When I try to access the age of each user, I get `None` for Bob and Charlie, which is causing issues in my application as I expect an `age` field to always exist. Hereโ€™s the relevant Python code: ```python import json json_data = ''' { "users": [ { "name": "Alice", "age": 30 }, { "name": "Bob", "age": null }, { "name": "Charlie" } ] } ''' data = json.loads(json_data) for user in data['users']: name = user['name'] age = user.get('age', 'Not Provided') # Using get to avoid KeyError print(f'{name} is {age}') ``` This code outputs: ``` Alice is 30 Bob is None Charlie is None ``` I expected to see 'Charlie is Not Provided' instead of 'Charlie is None'. It seems like the `json` library is returning `None` when a key does not exist in the JSON object. Is there a way to handle this so that I can specify a default value when the key is missing without getting `None`? Iโ€™ve also tried using `defaultdict` from `collections`, but that didnโ€™t seem to work as intended either. Any insights or best practices for dealing with optional fields in JSON parsing would be greatly appreciated! Iโ€™m using Python 3.9.1. Thanks in advance! This is part of a larger service I'm building. I'd really appreciate any guidance on this. This is part of a larger service I'm building. How would you solve this?