A Friday 11 July 2008, Pierre GM escrigué: > On Fri, Jul 11, 2008 at 12:47 PM, Francesc Alted > <[EMAIL PROTECTED]> > > wrote: > > A Friday 11 July 2008, Pierre GM escrigué: > > > Our approach for dealing with dates was to translate them into > > > integers through a particular class (Date). > > > > That's very interesting. We will have a look at your > > implementation and see if we can reuse code/ideas. I suppose this > > code in your TimeSeries module, right? > > Yes, in the src directory (c_dates.c). > In addition, we have a DateArray class, which implements an array of > Dates (you didn't see that coming...) and whose dtype is int64. > > The reason why we wanted to stick to ints was to permit a direct > correspondence index<->date in an array. If you know the first date > and the timestep, you can get the date corresponding to any element > of your series, and vice-versa.
Ah! Very smart! I wonder if we could use this to implement a special array with a fixed timestep that could be indexed by time instead than by index. Something like: t1 = datetime.datetime(1,2,3) t2 = datetime.datetime(3,4,5) and then: arr[numpy.datetime(t1):numpy.datetime(t2)] would select the events between t1 and t2 timestamps. Powerful! But that would introduce more complexity and besides this is not directly related with our goal. Interesting anyway. -- Francesc Alted _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
