On Sat, Oct 29, 2016 at 11:44 PM, Stephan Hoyer
I'm have more mixed fillings on testing for NaNs. NaNs propagate, so explicit testing is rarely needed. Also, in numerical computing we usually work with arrays of NaN, so operator.exists() and all this nice syntax would not be a substitute for numpy.isnan or pandas.isnull.
NaN's *usually* propagate. The NaN domain isn't actually closed under IEEE 754.
nan, inf = float('nan'), float('inf') import math nan**0 1.0 math.hypot(nan, inf) inf min(1, nan) 1
The last one isn't really mandated by IEEE 754, and is weird when you consider `min(nan, 1)`. -- Keeping medicines from the bloodstreams of the sick; food from the bellies of the hungry; books from the hands of the uneducated; technology from the underdeveloped; and putting advocates of freedom in prisons. Intellectual property is to the 21st century what the slave trade was to the 16th.