Le jeudi 15 décembre 2011 à 18:09 +0100, Gregor Thalhammer a écrit : > There is an excellent blog entry from Travis Oliphant, that describes > how to create a ndarray from existing data without copy: > http://blog.enthought.com/?p=62 > The created array does not actually own the data, but its base > attribute points to an object, which frees the memory if the numpy > array gets deallocated. I guess this is the behavior you want to > achieve. > Here is a cython implementation (for a uint8 array)
Even better: the addendum! http://blog.enthought.com/python/numpy/simplified-creation-of-numpy-arrays-from-pre-allocated-memory/ Within cython: cimport numpy numpy.set_array_base(my_ndarray, PyCObject_FromVoidPtr(pointer_to_Cobj, some_destructor)) Seems OK. Any objections about that ? -- Fabrice Silva _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
