Reputation: 487
I'm trying to come up with some logic to cleanly divide 24 hours into 96 quarters but I can't figure it out. I have a Python Pandas dataframe showing the hours and quarters of each time stamp. It looks like this
Timestamp | Hour | Quarter
----------------------------------------
2020-11-01 05:00:00+01 5 1
2020-11-01 05:15:00+01 5 2
2020-11-01 05:30:00+01 5 3
2020-11-01 05:45:00+01 5 4
2020-11-01 06:00:00+01 6 1
2020-11-01 06:15:00+01 6 2
2020-11-01 06:30:00+01 6 3
2020-11-01 06:45:00+01 6 4
So here it shows the quarters for each hour (every hour has 4 quarters). But now I want to have 96 quarters for the entire day. So I would add a column:
Timestamp | Hour | Quarter | Q's
------------------------------------------------
2020-11-01 05:00:00+01 5 1 21
2020-11-01 05:15:00+01 5 2 22
2020-11-01 05:30:00+01 5 3 23
2020-11-01 05:45:00+01 5 4 24
2020-11-01 06:00:00+01 6 1 25
2020-11-01 06:15:00+01 6 2 26
2020-11-01 06:30:00+01 6 3 27
2020-11-01 06:45:00+01 6 4 28
Because I'm working with timestamps which are timezone sensitive, I can't just do this index wise. Also I don't like for loops. What's the logic here that I am completely missing?
Upvotes: 0
Views: 365