[SciPy-Dev] Fwd: Re: GSoC 2017: BSpline support

[Xavier Barthelemy]

Dear everyone,

While we are talking about splining, I would like to add a request if
possible.
I am a heavy user of the splprep and co routines, and many times I need to
get the local polynomial coefficients to compute the derivatives, and found
the analitical zeros.
I had found a recipe on stackoverlord years ago, on how to get back to
local coefficient from the spline description.


Maybe a method, or an option, returning the local polynomial coefficients
(and the interval?) could be implemented?
it's my 2 cents as a user

thanks for considering it and please, discard if you think it's not fit.

All the best
Xavier

2017-03-25 15:29 GMT+11:00 Aman Pratik <amanpratik10 at gmail.com>:

> Seems interesting. Though adding this would require doing away with some
> of the other part(s) of the project. I will do some research on it.
> Meanwhile, lets wait for feedback from the mentors.
>
>
>
>
> On 25 March 2017 at 04:43, Stefan van der Walt <stefanv at berkeley.edu>
> wrote:
>
>> On Fri, Mar 24, 2017, at 12:19, Aman Pratik wrote:
>>
>> Hello,
>> This is my second Draft, Proposal : Second Draft
>> <https://github.com/amanp10/scipy/wiki/GSoC-2017-:-Improve-support-for-B-splines>
>>
>>
>> Would this be a good opportunity to add subdivision splines to SciPy?
>> Their implementation (at least in 1D) is simple, and they give good
>> locality around nodes (i.e., yield predictable curves, useful for spline
>> design).
>>
>> An example is given here:
>>
>> https://gist.github.com/stefanv/a28d61694fe8f3ef2325b23cbc51312a
>>
>> Stéfan
>>
>>
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