[SciPy-User] spline interpolators silently failing on NaNs

[Kevin Gullikson]

We may also want to check that the x array is monotonic. I had an issue
once where one of the x points was repeated and it made the whole spline
return NaNs (also silently)


On Sat, Dec 22, 2012 at 6:51 AM, <pawel.kw at gmail.com> wrote:

> Hi,
>
> I have also encountered this problem on several occasions-every time I
> forget about this and it takes some time before I realise what's wrong. I
> could try to implement a NaN check, resulting with an error message. Can
> someone point me to some instructions on how to contribute properly? I
> guess there's an official way of submitting code - I've never done this. I
> have some experience with svn and git (I use it regularly for some private
> projects), I'd be happy to contribute.
>
> Cheers,
>
> Pawel
>
>
> ------------------------------
> On Dec 21, 2012 23:02, Pauli Virtanen <pav at iki.fi> wrote:
> 21.12.2012 23:33, Ralf Gommers kirjoitti:
> [clip]
> > Yes, a check in functions in fitpack2.py for NaNs as well as duplicate
> > points and monotonicity where applicable would be quite useful.
>
> The NaN check could be done on the output of the spline fitting routine
> --- then, you can just check one of the values (since NaNs always
> propagate to fill the whole spline fit), rather than needing to check
> all of the input values, which is slower.
>
> --
> Pauli Virtanen
>
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