Hi Stefan,
Thanks for the advice and for the redirection to scipy !
I will create an implementation of it there
Swan BOSC.
‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
On Friday, January 29th, 2021 at 07:49, Stefan van der Walt
<stef...@berkeley.edu> wrote:
> Hi there,
>
> Thanks for reaching out.
>
> On Wed, Jan 27, 2021, at 04:24, Swan BOSC wrote:
>
>> Namely, the expfit function, as presented
>> [here](https://octave.sourceforge.io/optim/function/expfit.html)
>> (https://octave.sourceforge.io/optim/function/expfit.html) doesn't seem to
>> exist. I'm currently building a replacement for it in my words (keywords I
>> mean ;) ) but maybe a better solution would be to contribute some code into
>> NumPy.
>>
>> AFAIK, the preferred way to fit a Polynomial nowadays is to call
>> numpy.polynomial.polynomial.Polynomial.
>> Do you think that a class for `Exponential` based on that one would be an
>> interesting addition to NumPy ?
>
> I think Prony's method would probably be a better fit for `scipy.signal`.
> Please be mindful not to translate this from existing GPL code, but to
> implement it afresh.
>
> Best regards,
> Stéfan
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