A Friday 22 February 2008, Stefan van der Walt escrigué: > Hi Travis, > > On Wed, Feb 20, 2008 at 10:14:07PM -0600, Travis E. Oliphant wrote: > > In writing some generic code, I've encountered situations where it > > would reduce code complexity to allow NumPy scalars to be "indexed" > > in the same number of limited ways, that 0-d arrays support. > > > > > > For example, 0-d arrays can be indexed with > > > > * Boolean masks > > I've tried to use this before, but an IndexError (0-d arrays can't be > indexed) is raised.
Yes, that's true, and what's more, you can't pass a slice to a 0-d array, which is certainly problematic. I think this should be fixed. > > > * Ellipses x[...] and x[..., newaxis] > > This, especially, seems like it could be very useful. Well, if you want to create a x[..., newaxis], you can always use array([x]), which also works with scalars (and python scalars too), although the later does create a copy :-/ > Could I ask that we also consider implementing len() for 0-d arrays? > numpy.asarray returns those as-is, and I would like to be able to > handle them just as I do any other 1-dimensional array. I don't know > if a length of 1 would be valid, given a shape of (), but there must > be some consistent way of handling them. If 0-d arrays are going to be indexable, then +1 for len(0-d) returning 1. Cheers, -- >0,0< Francesc Altet http://www.carabos.com/ V V Cárabos Coop. V. Enjoy Data "-" _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion