Re: [Numpy-discussion] numpy.numarray.transpose()

2009-09-29 Thread Pauli Virtanen
Tue, 29 Sep 2009 11:08:42 +0200, Michael.Walker wrote: [clip] > I am referring to the behaviour of numpy.numarray.transpose() being that > of numpy.transpose() instead of numarray.transpose. One expects that You probably mean the transpose methods numpy.numarray.ndarray.transpose and numarray.nda

Re: [Numpy-discussion] numpy.numarray.transpose()

2009-09-29 Thread Michael . Walker
> On 09/28/2009 03:15 AM, Pauli Virtanen wrote: >> Mon, 28 Sep 2009 10:07:47 +0200, Michael.Walker wrote: >> [clip] >> >>> In [7]: f = f.transpose() >>> >>> In [8]: print f >>> [[1 3] >>> [2 4]] >>> >>> as expected. I mention this because I think that it is worth knowing >>> having lost a LOT o

Re: [Numpy-discussion] numpy.numarray.transpose()

2009-09-28 Thread Pauli Virtanen
Mon, 28 Sep 2009 09:29:30 -0500, Bruce Southey wrote: [clip] > This is not a bug! This specific difference between numpy and numarray > is documented on the 'converting from numarray' page: > http://www.scipy.org/Converting_from_numarray Oh. I completely missed that page. Now, it should just be tr

Re: [Numpy-discussion] numpy.numarray.transpose()

2009-09-28 Thread Bruce Southey
On 09/28/2009 03:15 AM, Pauli Virtanen wrote: > Mon, 28 Sep 2009 10:07:47 +0200, Michael.Walker wrote: > [clip] > >> In [7]: f = f.transpose() >> >> In [8]: print f >> [[1 3] >> [2 4]] >> >> as expected. I mention this because I think that it is worth knowing >> having lost a LOT of time to

Re: [Numpy-discussion] numpy.numarray.transpose()

2009-09-28 Thread Pauli Virtanen
Mon, 28 Sep 2009 10:07:47 +0200, Michael.Walker wrote: [clip] > In [7]: f = f.transpose() > > In [8]: print f > [[1 3] > [2 4]] > > as expected. I mention this because I think that it is worth knowing > having lost a LOT of time to it. Is it worth filing as a bug report? Yes. It indeed seems t

[Numpy-discussion] numpy.numarray.transpose()

2009-09-28 Thread Michael . Walker
Hello list, I just thought I'd point out a difference between 'import numarray' and 'import numpy.numarray' . Consider the following In [1]: from numpy.numarray import * In [2]: d = array((1,2,3,4)) In [3]: f = reshape(d,(2,2)) In [4]: print f [[1 2] [3 4]] In [5]: f.transpose() Out[5]: a