On Fri, Sep 28, 2018 at 11:31 PM, Steve Barnes <[email protected]> wrote:
> One specific use case that springs to mind would be for Libraries such
> as Pandas to return iNaN for entries that are not numbers in a column
> that it has been told to treat as integers.
Pandas doesn't use Python objects to store integers, though; it uses
an array of unboxed machine integers.
In places where you can use Python objects to represent numbers, can't
you just use float("nan") instead of iNaN?
-n
--
Nathaniel J. Smith -- https://vorpus.org
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