Thanks for your reply.
It's possible using
Do I just combine strings?
The .unique approach returns a datetime object that isn't obvious how to combine into a timestamp object
It's possible using
datesinseries = pd.Series(df.index).map(lambda t: t.date()).unique()but a) it seems a roundabout way to do it, and b) I'm not sure how to combine a date extracted this way with a manually-defined time in a single timestamp as bounds for the range. Any advice on this would be helpful.
Do I just combine strings?
The .unique approach returns a datetime object that isn't obvious how to combine into a timestamp object