Datetime Handling

[ZachHoppinen]

Hi team!

Really enjoying the package. I am working with snow remote sensing and this has been really useful for automating the comparison of our RS results to stations.

I am wondering if it would be possible to add functionality to handle DateTime objects. I was thinking, assuming you provide a DateTime object instead of a string it would run:

def parse_datetime(datetime_obj):
    return datetime_obj.strftime('%Y') + datetime_obj.strftime('%m') + datetime_obj.strftime('%d') + datetime_obj.strftime('%H') + datetime_obj.strftime('%M')

from datetime import datetime
if isinstance(user_input_start, datetime):
    user_input_start = parse_datetime(user_input_start)

Happy to parse it myself just might be nice to handle pandas datetime objects within the package.

[blaylockbk]

Hi @ZachKeskinen, I have a spinoff of this python library called SynopticPy that you might want to try. It works a little differently, but does accept datetime input (it even returns the data as a Pandas DataFrame).

I don't know who maintains this repo anymore. I got your notification because apparently I "watch" it; that must have been from a few years ago. Haha!

[ZachHoppinen]

Hey @blaylockbk

Thanks for the reply. That is good info the repo isn't maintained anymore and explains the datetime issues. I'll migrate over to the SynopticPy and swap the code over since I am just starting at this point.

Thanks!