Jose, As you can see, people have different preferences for wrapping C/C++ code. I should also mention that one of the easiest methods if numpy arrays are involved is ctypes. numpy arrays already have more-or-less built-in support for talking to ctypes. Details are available here:
http://www.scipy.org/Cookbook/Ctypes The good news is that there are _many_ good options. I also know that the numpy.i file for handling numpy arrays in SWIG is of high quality and has decent documentation. Brian On Sat, May 17, 2008 at 4:55 PM, Jose Martin <[EMAIL PROTECTED]> wrote: > > Hi, I'd like to access a C function from python, and the function takes > input/output arrays. I'd probably use SWIG to do the interface to the C code. > I found 2 options: > -NumPtr module, to access Numeric arrays as pointers > http://www.penzilla.net/tutorials/python/numptr/ > - numpy.i, a SWIG interface file for NumPy that defines typemaps > http://projects.scipy.org/scipy/numpy/browser/trunk/numpy/doc/swig/doc/numpy_swig.html > > I'm not sure if there is significant differences between the 2 options > (besides using either NumPy or Numeric). Does numpy.i interface file use > pointers to access NumPy arrays? or does it make a copy of the array to pass > it to/from the C function? > > I'm new to programming and I'd like to make sure of this. I need to use in C > very large arrays frequently, so I want to avoid making copies of it, because > speed will be an important factor. > > Thanks in advance! > > > > _______________________________________________ > Join Excite! - http://www.excite.com > The most personalized portal on the Web! > > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
