On 2011-04-28, Steven D'Aprano <[email protected]> wrote:
> While it is common, it is also an abuse of NANs to use it to
> represent missing values. In Python, that's (probably) best done with
> None.
None won't propogate through calculations to produce None's on outputs.
> The statistics language R has a specific value NA to use for missing,
> distinct from NANs.
>
> Still, it could be worse... I've seen a programs use 9999 to
> represent missing values, on the basis that nobody could ever have
> more than (say) 5000 invoices in the database...
All 1's in a float is a NaN, so all 9's in a BCD value is a NaN. Sort
of makes sense if the BCD operations propogate "all-nine" values or
raise exceptions when they are encountered (that's a big if).
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