On Wed, Nov 14, 2018 at 8:57 AM Stephan Hoyer <sho...@gmail.com> wrote:
> It recently came up on GitHub (at part of the discussion in > https://github.com/numpy/numpy/issues/12379) that numpy.linspace could, > at least in principle, be modified to support array inputs: > > It looks like this has been requested on StackOverflow, too: > > https://stackoverflow.com/questions/46694167/vectorized-numpy-linspace-across-multi-dimensional-arrays > > My tentative proposal: > - "start" and "stop" are broadcast against each other to form start/stop > arrays. (Or we could require that start/stop have matching shape.) > - A new dimension of size "num" is inserted into the result, either along > the first or last axis. > - A new keyword argument "axis" could control where the axis is inserted > in the result. > - Vectorization support should be added in the same way to geomspace and > logspace. > > Does this seem like a good idea? It's a relatively simple generalization, > and one that I, at least, would find useful (I can think of a use-case in > my own code that came up just last week). > This feels a bit forced. There's not much relevance to the minor performance gain, and for code clarity it probably also wouldn't help (actually it hurts usability for 99.x% of use cases by making the doc more complicated). Not sure that it really would require a new axis argument, as Marten said on the issue. Also, the num keyword cannot be vectorized, unless one returns a list of arrays, which would actually be more natural here than a 2-D array. So, at best a don't care for me - I'm -0.5. Cheers, Ralf > > I doubt I'll have time to implement this myself in the near future, but I > thought I would get the discussion going -- this might be a good project > for a new contributor to work on. > > Cheers, > Stephan > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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