Thanks Sebastian. Casting it to an array would certainly help. Another oddity of zero-ranked scalars is that they look iterable, but in fact are not. Because all they do is generate an error.
>>> a = np.array(22) Test if iterable: >>> hasattr(a, __iter__) True Or: >>> import collections >>> isinstance(a, collections.Iterable) True >>> for e in a: print e TypeError: iteration over a 0-d array Wouldn't it be better to have a different type altogether for numpy scalars? Because scalars don't seem to quack quite like arrays... (I haven't been following the discussion around scalars, so if this is a silly remark just ignore it) Another question. What would be the preferred method of testing for zero-ranked array? Something like this? >>> if a.shape: print "array" else: print "scalar" Regards, Wim
_______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
