On Wednesday 02 August 2006 22:43, Travis Oliphant wrote: > Sebastian Haase wrote: > > Thanks, > > I just found > > numpy.isscalar() and numpy.issctype() ? > > These sound like they would do what I need - what is the difference > > between the two ? > > Oh, yeah. > > numpy.issctype works with type objects > numpy.isscalar works with instances > > Neither of them distinguish between scalars and "numbers." > > If you get errors with isscalar it would be nice to know what they are.
I'm still trying to reproduce the exception, but here is a first comparison that - honestly - does not make much sense to me: (type vs. instance seems to get mostly the same results and why is there a difference with a string ('12') ) >>> N.isscalar(12) True >>> N.issctype(12) True >>> N.isscalar('12') True >>> N.issctype('12') False >>> N.isscalar(N.array([1])) False >>> N.issctype(N.array([1])) True >>> N.isscalar(N.array([1]).dtype) False >>> N.issctype(N.array([1]).dtype) False # apparently new 'scalars' have a dtype attribute ! >>> N.isscalar(N.array([1])[0].dtype) False >>> N.issctype(N.array([1])[0].dtype) False >>> N.isscalar(N.array([1])[0]) True >>> N.issctype(N.array([1])[0]) True -Sebastian ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion