implementing datetime comparison in Python 2.7 when using timezone-aware and naive datetimes
I've encountered a strange issue with I'm testing a new approach and I'm working with a question in Python 2.7 where I need to compare timezone-aware datetime objects with naive datetime objects... I have a dataset containing timestamps, some of which are timezone-aware and others that aren't. When I try to compare them, I get a `TypeError`: `need to compare offset-naive and offset-aware datetimes`. I know that I should convert them to the same format before comparison, but I'm unsure how to do this properly without losing information. Here's a simplified version of what I've tried: ```python from datetime import datetime, timezone # Example timezone-aware datetime aware_dt = datetime(2023, 10, 15, 10, 0, tzinfo=timezone.utc) # Example naive datetime naive_dt = datetime(2023, 10, 15, 5, 0) # Attempting to compare the two try: result = aware_dt > naive_dt except TypeError as e: print(e) ``` To resolve this, I've tried converting the naive datetime to a timezone-aware one using `localize()` from `pytz`, but it's been tricky since I'm not sure about the correct timezone to apply. Hereβs what I did: ```python import pytz naive_dt = naive_dt.replace(tzinfo=pytz.utc) # This seems incorrect ``` I realize that applying UTC directly might not be right, as my naive dates are from a different timezone. Whatβs the best approach to handle this in Python 2.7 without losing the integrity of my timestamps? Any advice on best practices would also be appreciated. Thanks! How would you solve this? I'm using Python LTS in this project. Thanks for taking the time to read this! This issue appeared after updating to Python 3.11. I'd love to hear your thoughts on this.