intervals

I want to split the calendar into two-week intervals starting at 2008-May-5 , or any arbitrary starting point. So I start with several date objects: import datetime as DT raw = ("2010-08-01", "2010-06-25", "2010-07-01", "2010-07-08") transactions = [(DT.datetime.strptime(datestring, "%Y-%m-%d").date(), "Some data here") for datestring in raw] transactions.sort() By manually analyzing the dates, I am quite able to figure out which dates fall within the same fortnight interval. I want to get grouping that's similar to this one: # Fortnight interval 1 (datetime.date(2010, 6, 25), 'Some data here'

Although the details of this are, of course, app specific, in the SO spirit I'm trying to keep this as general as possible! The basic problem is how to merge data.frames by date when one data.frame has specific dates and the other has a date-range. Secondly, the question asks how to deal with multiple observations of a given variable, and how to include these in a final output data.frame. I'm sure some of this is standard, but an pretty full search has revealed little. The mre objects I'm trying to merge are below. # 'Speeches' data.frame structure(list(Name = structure(c(2L, 2L, 2L, 2L, 2L,

I have plans to create an interval app using timers. It should just be the most basic So I'll have to add some more when I've understood the basics. What I want to achieve is to select the number of minutes an interval should last, yet how many times this interval should go. Like a interval that last 1 minute and goes 8 times. The question is which timer is best to use? I have tried me on the Android Countdown Timer and it seems to work. But is there another one which is better? I would always recommend using a Handler . It's a little more work than the built in classes, but I find that it is

I have got a series of time intervals (t_start,t_end), that cannot overlap, i.e.: t_end(i) > t_start(i+1). I want to do the following operations: 1) Add new (Union of) intervals [ {(1,4),(8,10)} U (3,7) = {(1,7),(8,10)} ] 2) Take intervals out [ (1,7) - (3,5) = {(1,3),(5,7)} 3) Checking whether a point or a interval overlaps with an interval in my series (intersection) 4) Finding the first "non-interval" of a minimum length after some point [ {(1,4),(7,8)}: there is a "non-interval" of length 3 between 4 and 7 ]. I want to know good ways of implementing this, with low complexities (log n for

My problem is as follows: having file with list of intervals: 1 5 2 8 9 12 20 30 And a range of 0 200 I would like to do such an intersection that will report the positions [start end] between my intervals inside the given range. For example: 8 9 12 20 30 200 Beside any ideas how to bite this, would be also nice to read some thoughts on optimization, since as always the input files are going to be huge. this solution works as long the intervals are ordered by the start point and does not require to create a list as big as the total range. code with open("0.txt") as f: t=[x.rstrip("\n").split("

I've got a classification of certain values in different intervals. Most have the form [20-30], but some are of the form [30-infinite). Is there an interval class you know of which can represent: an interval which is not closed on both sides (e.g. (0-5) or [0-5) ) an interval which closes (or starts) on infinite Time&Money project seems to have Interval class that you need. See these files in their svn: interval package . Gadi The Apache-commons-lang project ( http://commons.apache.org/lang/ ) contains classes dealing with ranges (like IntRange - https://commons.apache.org/proper/commons-lang

Let me begin by saying this question pertains to R (stat programming language) but I'm open straightforward suggestions for other environments. The goal is to merge outcomes from dataframe (df) A to sub-elements in df B. This is a one to many relationship but, here's the twist , once the records are matched by keys they also have to match over a specific frame of time given by a start time and duration. For example, a few records in df A: OBS ID StartTime Duration Outcome 1 01 10:12:06 00:00:10 Normal 2 02 10:12:30 00:00:30 Weird 3 01 10:15:12 00:01:15 Normal 4 02 10:45:00 00:00:02 Normal And

I work with a Postgres database. This DB has a table with users, who have a birthdate (date field). Now I want to get all users who have their birthday in the upcoming week.... My first attempt: SELECT id FROM public.users WHERE id IN (lange reeks) AND birthdate > NOW() AND birthdate < NOW() + interval '1 week' But this does not result, obviously because off the year. How can I work around this problem? And does anyone know what happen to PG would go with the cases at 29-02 birthday? We can use a postgres function to do this in a really nice way. Assuming we have a table people , with a date