I have an old Numarray C extension (or, rather, a Python package containing a C extension) that I would like to convert to numpy (in a way that is likely to be supported long-term).
Options I have found include: - Use the new numpy extension. This seems likely to be fast and future-proof. But I am finding the documentation slow going. Does anyone know of a simple example (e.g. read in an array, create a new array)? - Use the Numarray compatible C API. Simple (and takes advantage of the nice Numarray tutorial example for documentation), but will this be supported in the long term? - Switch to ctypes. Simple in concept. But I'm wondering if I can get distutils to build the resulting package. - Use SWIG. I have some experience with it, but not with numpy arrays. - Use Cython to replace the C code. No idea if this is a long-term supported package. Another option is to try to rewrite in pure python. Perhaps the numpy indexing is sophisticated enough to allow an efficient solution. The C extension computes a radial profile from a 2-d masked array: radProf(r)= sum of all unmasked pixels at radius r about some specified center index I can easily generate (and cache) a 2-d array of radius index, but is it possible to use that to efficiently generate the desired sum? Any opinions? -- Russell _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
