Hi Sylvain, Sylvain Corlay wrote: > Hi Thomas, > > This is great news! > > FYI, the traitlets module has been undergoing significant refactoring > lately, improving the API to favor a broader usage in the community. > One reason for this is that several projects outside of the Jupyter > organization are considering adopting traitlets. You can find a summary > of the ongoing work and API changes > here: https://github.com/ipython/traitlets/issues/48 > > One of the items in this discussion is about what would be the best > place for a repository of trait types for standard data structures of > the scipy stack (numpy array, pandas series and dataframes, etc...) It > is unlikely that such trait types would be accepted in those libraries > at this moment, and the main traitlets package might not be the right > place for it either - hence the need for another repo. However, if we > don't work on a centralized project, we will probably see a number of > competing implementations in different libraries that are clients of > traitlets. > > Hence the idea would be to propose a new project in the Jupyter > incubator with a reference implementation. What would be cool would be > to join forces and work on a specification or start a discussion of what > the ideal implementation for such trait types would look like.
I'm very open to collaborating on centralizing these kind of scipy-stack traits. I'm not particularly attached to the idea of keeping our numtraits implementation separate, and would be very happy to merge it in to a larger effort or only re-use parts of it. Realistically I won't be able to lead/write a proposal for the incubator in the next few weeks, but if no one gets to it first, I can try and work on it later in the year. Cheers, Tom > > Cheers, > > Sylvain > > > On Wed, Sep 23, 2015 at 12:39 PM, Thomas Robitaille > <thomas.robitai...@gmail.com <mailto:thomas.robitai...@gmail.com>> wrote: > > Hi everyone, > > We have released a small experimental package called numtraits that > builds on top of the traitlets package and provides a NumericalTrait > class that can be used to validate properties such as: > > * number of dimension (for arrays) > * shape (for arrays) > * domain (e.g. positive, negative, range of values) > * units (with support for astropy.units, pint, and quantities) > > The idea is to be able to write a class like: > > class Sphere(HasTraits): > > radius = NumericalTrait(domain='strictly-positive', ndim=0) > position = NumericalTrait(shape=(3,)) > > and all the validation will then be done automatically when the user > sets 'radius' or 'position'. > > In addition, tuples and lists can get automatically converted to > arrays, and default values can be specified. You can read more about > the package and see examples of it in use here: > > https://github.com/astrofrog/numtraits > > and it can be easily installed with > > pip install numtraits > > The package supports both Python 3.3+ and Legacy Python (2.7) :) > > At this point, we would be very interested in feedback - the package > is still very young and we can still change the API if needed. Please > open issues with suggestions! > > Cheers, > > Tom and Francesco > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org <mailto:NumPy-Discussion@scipy.org> > https://mail.scipy.org/mailman/listinfo/numpy-discussion > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
