Re: [Numpy-discussion] numpy.numarray.transpose()
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 it. Is it worth filing as a bug report? 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 I am referring to the behaviour of numpy.numarray.transpose() being that of numpy.transpose() instead of numarray.transpose. One expects that numpy.numarray would function as numarray, for the purpose of backwards compatability. So, is this worth filing a bug report for? Michael Walker Plant Modelling Group CIRAD, Montpellier 04 67 61 57 27 ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] numpy.numarray.transpose()
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]: array([[1, 3], [2, 4]]) In [6]: print f [[1 2] [3 4]] Now in pure numarray, f would have changed to the transposed form, so that the output from [5] and [6] would match, and be different from that of [4]. (I don't have numarray installed myself but a workmates computer, and examples on the web have the usage f.transpose() . Now, 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? Michael Walker Plant Modelling Group CIRAD, Montpellier 04 67 61 57 27 ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] SuperLU failed to solve
Hello, does anyone on this list have any idea what might cause SuperLU to not solve on my computer when the associated code works perfectly well on somebody else's? On my computer the code crashes with the error message 'SuperLU solve failed: info=9' thanks Michael Walker Plant Modelling Group CIRAD, Montpellier 04 67 61 57 27 ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
