[SciPy-user] Polynomial interpolation
Mon Apr 28 15:23:29 CDT 2008
If the functionality of krogh_ev is useful, why not put it in a method?
A compatibility module is a very good idea. But a concern with that is
one of documentation. If I am a new user to both scipy and the
splrep/splev library, I will be confused with which calling convention
is best. As a developer more external explanation is needed and more
code needs to be commented.
More tests also need to be written to ensure full code coverage.
Anne Archibald wrote:
> 2008/4/28 Robert Kern <email@example.com>:
>> On Mon, Apr 28, 2008 at 12:17 PM, Gael Varoquaux
>> <firstname.lastname@example.org> wrote:
>>> I am not suggesting to make a bad design choice, or to go
>> > out of our way, I just want a two liner helper function.
>> I'm afraid that *is* widely recognized as a bad design choice.
> Well, I think the way to go is to mimic splrep/splev:
> def krogh_rep(xi, yi):
> return KroghInterpolator(xi, yi)
> def krogh_ev(kr, x, der=0):
> if der==0:
> return kr(x)
> return kr.derivative(x, der=der)
> The only danger is that if it ever raises an exception and the users
> see how simple it is they will feel like idiots.
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