Fernando Perez writes: > The consensus at the BoF (not that it means it's set in stone, simply > that there was good chance for back-and-forth on the topic with many > voices) was that:
> 1. There are valid use cases for 'integer ticks', i.e. integers that > index arbitrarily into an array instead of in 0..N-1 fashion. > 2. That having plain arr[0] give anything but the first element in arr > would be way too confusing in practice, and likely to cause too many > problems. > 3. That the best solution to allow integer ticks while retaining > 'normal' indexing semantics for integers would be to have > arr[int] -> normal indexing > arr.somethin[int] -> tick-based indexing, where an int can mean anything. Thanks for the summary. Then, does it make sense this scheme? arr[int] -> normal indexing arr[not int] -> IndexError arr.something[int] -> normal indexing (use str(int) for tick-based indexing) arr.something[not int] -> tick-based indexing It's not that I'm trying to push for this scheme. In fact, my question is whether this would be of any practical use. (e.g., arr.something['1900':-3], or arr.named[0,'1900':]) If that is acceptable and performance wouldn't have a huge drop, then I'd rather go for: arr[int] -> normal indexing arr[not int] -> tick-based indexing I'm not sure if this was dropped because of the str(int) or because of performance reasons arr.something[int] -> normal indexing arr.something[not int] -> tick-based indexing arr.named -> no longer necessary Which has even less "keywords" to remember. Lluis -- "And it's much the same thing with knowledge, for whenever you learn something new, the whole world becomes that much richer." -- The Princess of Pure Reason, as told by Norton Juster in The Phantom Tollbooth _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion