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Nan is designed to propagate through all calculations, infecting them like a virus, so if somewhere in your deep, complex calculations you hit upon a nan, you don't bubble out a seemingly sensible answer As for nan in [nan] being true, that's because identity is tested before equality for containment in lists. Otherwise by identity nan/nan should equal 1, along with all the other consequences like (nan/nan)==1, (nan*1)==nan, etc.
182 i just came across this technique in the book effective javascript that is pretty simple Nan not being equal to nan is part of the definition of nan, so that part's easy Since nan is the only javascript value that is treated as unequal to itself, you can always test if a value is nan by checking it for equality to itself:
Float('nan') represents nan (not a number)
But how do i check for it? 37 it's a special case, nan is the only thing in javascript not equal to itself Although the other answers about strings vs the nan object are right too. In numpy there are nan, nan and nan
What's the sense of having all three, do they differ or any of these can be used interchangeably? Javascript automatic type conversion convert nan into number, so checking if a number is not a number will always b false And nan !== nan will be true. Nan can be used as a numerical value on mathematical operations, while none cannot (or at least shouldn't)
None is an internal python type (nonetype) and would be more like inexistent or empty than numerically invalid in this context
The main symptom of that is that, if you perform, say, an average or a sum on an. I would like to know why some languages like r has both na and nan What are the differences or are they equally the same Is it really needed to have na?
16 nan means not a number and is the result of undefined operations on floating point numbers like for example dividing zero by zero
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