On Fri, Jul 29, 2011 at 4:12 AM, Hans Meine <me...@informatik.uni-hamburg.de> wrote: > > /home/hmeine/new_numpy/lib64/python2.6/site-packages/vigra/arraytypes.pyc in > reshape(self, shape, order) > 587 > 588 def reshape(self, shape, order='C'): > --> 589 res = numpy.ndarray.reshape(self, shape, order) > 590 res.axistags = AxisTags(res.ndim) > 591 return res > > TypeError: an integer is required > > The problem is that 'self' has become a zero-rank array, and those cannot be > reshaped in order to add singleton dimensions anymore. IOW, if you implement > sth. like broadcasting, this is made much harder.
Am 29.07.2011 um 15:28 schrieb Charles R Harris > > What is self and shape in this example? self is my zero-rank array, shape is (1,1) (just 'int's, I checked), and order is 'F'. The problem is that reshape of a zero-rank-array fails with the above TypeError. > Out of curiosity, if you don't support all the ndarray operations, why are > you subclassing ndarray? Oh, we *do* support all ndarray operations, at least we try to, but we did not pay attention to support instances with an empty shape tuple. (And before 1.6.0, this did not bite us.) In fact, we also found a not-too-complex workaround, very similar to the numpy.matrix one, but we still believe the new min() behavior to be strange and probably unwanted. Have a nice day, Hans _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
