Handling Date Strings in JSON with Python's DateTime Library - Parsing Errors
I'm sure I'm missing something obvious here, but I'm building a feature where I'm working through a tutorial and I'm optimizing some code but This might be a silly question, but I'm stuck on something that should probably be simple. This might be a silly question, but I'm having trouble parsing date strings from a JSON response in Python... The JSON structure I'm working with looks like this: ```json { "events": [ { "name": "Event 1", "date": "2023-10-01T14:30:00Z" }, { "name": "Event 2", "date": "2023-10-02T15:45:00Z" } ] } ``` I'm using the `requests` library to fetch this JSON data, and I want to convert the date strings into `datetime` objects for further processing. Here's the code I'm using to fetch and parse the JSON: ```python import requests import json from datetime import datetime response = requests.get('https://api.example.com/events') if response.status_code == 200: data = json.loads(response.text) for event in data['events']: event['date'] = datetime.fromisoformat(event['date'].replace('Z', '+00:00')) else: print('Failed to fetch data') ``` However, I'm working with an behavior: `ValueError: Invalid isoformat string: '2023-10-01T14:30:00Z'`. I've read that the `fromisoformat` method does not support the 'Z' suffix, which indicates UTC time, but I'm not sure how to handle this correctly. I've tried replacing 'Z' with '+00:00' as shown above, but it still throws the same behavior. Is there a more reliable way to convert these date strings into `datetime` objects? Maybe a different library or method? Any help would be appreciated! For context: I'm using Python on macOS. Am I missing something obvious? For context: I'm using Python on Windows. Am I missing something obvious? My development environment is Linux. Is there a better approach? I'm on Ubuntu 22.04 using the latest version of Python. Thanks for taking the time to read this! I'm working in a macOS environment. Thanks for taking the time to read this! I'm working in a CentOS environment. Could this be a known issue?