[SciPy-Dev] Including Lomb-Scargle code in scipy.signal (sub)module

[Gael Varoquaux]

LSSA is incomprehensible to me. Acronymes are bad for communication,
IMHO. I suggest 'spectral'.

Gael

PS: and Aubergine for the bikeshed, of course.

On Wed, Feb 09, 2011 at 03:01:16PM +0100, Pim Schellart wrote:
> Dear SciPy developers,

> I have recently submitted code to calculate the Lomb-Scargle periodogram (see ticket http://projects.scipy.org/scipy/ticket/1352 for more information).
> After some iterations of review, recoding, adding documentation and adding unit tests the code (according to Ralf Gommers) is ready to go in.
> Ralf has nicely integrated the code into SciPy trunk in his git branch (https://github.com/rgommers/scipy/tree/lomb-scargle) and you may pull from there.
> Now the time has come to discuss where to put it and Ralf has suggested to have this discussion here:

> "I've played with your code a bit, changed a few things, and added it to scipy.signal in a github branch:https://github.com/rgommers/scipy/tree/lomb-scargle. I think it looks good, whether it really should go into signal should be discussed on the mailing list (but seemed like the logical place for it).

> ...

> The best name for the module I could think of was spectral_analysis, maybe there's a better one? It allows to add similar methods later.
> "

> I would like to suggest the module name "lssa" for "Least-squares spectral analysis". So the full path would be scipy.signal.lssa. This has several advantages.
> 1. It is a short name without underscores (personal preference)
> 2. It is a category name that can comprise several similar algorithms as desired.
> 3. It is immediately obvious from this name that this is different than FFT and therefore people will not be confused looking for FFT functions in this sub-module.
> 4. The name corresponds to the Wikipedia entry for this category of algorithms :) (but on a serious note this may help for people that want to find more information, or for people browsing wikipedia that are looking for an implementation).

> Please let me know what you think.

> Kind regards,

> Pim Schellart
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-- 
    Gael Varoquaux
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    Associate researcher, INRIA
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