On Wed, Dec 13, 2017 at 5:52 AM, Eric Wieser <[email protected]> wrote:
> Using np.iscalar is a bad idea, as it fails for 0d arrays. x.ndim is the > better option there. > > I’d maybe suggest not special-casing 0d arrays though, and using: > > def func_for_scalars_or_vectors(x): > x = np.asanyarray(x) # convert scalars to 0d arrays > > # The magic happens here > > return ret[()] # convert 0d arrays to scalars > > Good call. I didn't think that the empty tuple was valid for anything but indexing into 0d arrays, but of course, following the rules of indexing, it works as required for other arrays too. -- Robert Kern
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