numpy NaN, not surviving pickle/unpickle?

[Robert Kern]

John Ladasky wrote:

> In my leisure time, I would like to dig deeper into the issue of why
> object identities are not guaranteed for elements in numpy arrays...
> with elements of type "float", at least, I thought this would be
> trivial.

Why do you think that? We would have to keep a reference around to every scalar 
object that gets created and check against that cache whenever someone accesses 
an element in order to reuse the previously created object. That slows element 
access down for essentially no benefit.

-- 
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless enigma
  that is made terrible by our own mad attempt to interpret it as though it had
  an underlying truth."
   -- Umberto Eco