How to implement guide with json array parsing in python 3.10 - inconsistent data types
I'm working with an scenario while parsing a JSON array in Python 3.10 using the `json` library. The JSON structure I'm working with can have inconsistent data types within the same array. Here's a sample of the JSON: ```json [ { "id": 1, "name": "Alice", "age": 30 }, { "id": 2, "name": "Bob", "age": "unknown" }, { "id": 3, "name": "Charlie", "age": 25 } ] ``` When I attempt to parse this JSON and process it, I want to collect only the entries with valid age values (i.e., integers). I've tried to use list comprehensions to filter out the invalid entries, but I keep running into issues because Python throws a `ValueError` when it encounters the string "unknown". Here’s the code I’ve been using: ```python import json json_data = '''[ { "id": 1, "name": "Alice", "age": 30 }, { "id": 2, "name": "Bob", "age": "unknown" }, { "id": 3, "name": "Charlie", "age": 25 } ]''' parsed_data = json.loads(json_data) valid_entries = [entry for entry in parsed_data if isinstance(entry['age'], int)] ``` However, the `isinstance(entry['age'], int)` check doesn’t work as expected for entries with non-integer age values because they cause the program to break before the check can be performed. I've also considered using a `try-except` block to handle this, but I’m unsure how to implement it effectively to get the expected result. What’s the best approach to handle this scenario and filter the entries properly without raising an behavior? Any suggestions would be greatly appreciated!