Timothy Hochberg wrote: > in principle it's not safe to rely on NaNs being bitwise equal.
Thanks Tim, I always learn a lot on this list. Anyway, I think my suggestion of "binary equal" wasn't really what I want. What I want is essentially a NaN-safe comparison, much like the NaN-safe functions like nanmax, nanmin, etc. I guess what that would involve is looping through the arrays, checking for "==", then checking if both are NaN if it returns false. (or checking for the NaN's first). I'm not sure NaNifying the other comparisons would make any sense: NaN > NaN (and all the other comparison's would have to return False anyway. So, would a nanequal function be useful? would it be hard to write? -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception [EMAIL PROTECTED] _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
