Raymond de Vries wrote: > Oops, I guess I didn't express myself clearly enough: I have used plain > Python c-api (in my case a list of lists for my 2-dimensional arrays) > for my typemaps. Sorry for the unclearness. Actually because NumPy is > not my cup of tea...
Well, for almost any purpose, numpy arrays are a better fit for a 2-d array of numbers than a list of lists, so I'm not sure what kind of tea you like ;-) > Especially because Matthieu suggested that I should > convert my data into a contiguous array. a Python list can't share a pointer with your C++ data type anyway, so you'll have to copy anyway -- why not make a contiguous array? If you need a "ragged" array, then it's a different story, but a list of numpy arrays may be a better fit. > So no matter what I use, either swig, cython, or.. I still have the > NumPy issue. True, it's probably best to decide what sort of representation you want in Python, then decide how to build your wrappers. If you have a big 2-d array in C++, numpy is the obvious choice. Another choice is a wrapper around your C++ class -- don't convert to a python type at all. Depending on what you need to do, it may be OK to lost a lot of functionality numpy give you. This is how the SWIG C++ vector wrappers work, for instance. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception [email protected] _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
