Re: [Numpy-discussion] ndarray of object dtype

2010-10-05 Thread Ioan Ferencik
Thanks Robert, that worked just great. I was wandering whether anyone has experience with calling Fortran 90 functions that return derived types and cast them to C/Python objects. I have found excellent reference in a couple of websites, however all examples deal with returning at best 2D a

[Numpy-discussion] Please help on compilation fortran module using f2py

2010-10-05 Thread Jing
Hi, everyone: I am new to the python numpy and f2py. I really need help on compiling FORTRAN module using f2py. I have been searched internet without any success. Here is my setup: I have a Ubuntu 10.04 LTS with python 2.6, numpy 1.3.0 and f2py 2 (installed from ubuntu) and gfortran compil

Re: [Numpy-discussion] Schedule for 1.5.1?

2010-10-05 Thread Charles R Harris
On Tue, Oct 5, 2010 at 5:49 PM, Pauli Virtanen wrote: > Hi, > > Should we set a date for a bugfix 1.5.1 release? There are some bugs that > would be nice to sort out in the 1.5.x series: > > Any Python versions: > > - #1605 (Cython vs. PEP-3118 issue: raising exceptions with active > cyth

[Numpy-discussion] Schedule for 1.5.1?

2010-10-05 Thread Pauli Virtanen
Hi, Should we set a date for a bugfix 1.5.1 release? There are some bugs that would be nice to sort out in the 1.5.x series: Any Python versions: - #1605 (Cython vs. PEP-3118 issue: raising exceptions with active cython buffers caused undefined behavior. Breaks Sage.) - #1617 (Ensure c

[Numpy-discussion] numpy mac binary for Python 2.7: which version is it for?

2010-10-05 Thread Russell E. Owen
There are two Python 2.7 installers available at python.org a 32 bit version for MacOS X 10.3.9 and later and a 64 bit version for Mac OS X 10.5 and later. There is one numpy 1.5.0 binary installer for Mac Python 2.7. Which Mac python was it built for? (Or if it is compatible with both, how did

[Numpy-discussion] ufunc.accumulate question

2010-10-05 Thread Chris Withers
Hi All, I can't find any docs on this behavior. So, I have a python function. To keep it simple, lets just do addition: def add(x,y): print x,y retun x+y So, I can turn this into a ufunc as follows: uadd = np.frompyfunc(add,2,1) Now, I can apply it to an array: >>> uadd.accumulate(np.