On Sat, Mar 25, 2017 at 9:23 AM, Xavier Barthelemy <xabart@gmail.com> wrote:

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 

You can convert to piecewise polynomials via

>>> tck = splrep(x, y)

>>> p = PPoly.from_spline(tck)

 

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@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@berkeley.edu> wrote:

On Fri, Mar 24, 2017, at 12:19, Aman Pratik wrote:

Hello,

This is my second Draft, Proposal : Second Draft

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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