Hello, I have a C++ application that collects float, int or complex data in a possibly quite large std::vector. The application has some SWIG generated python wrappers that expose this vector to python. However, the standard way in which SWIG exposes the data is to create a touple and pass this to python, where it is very often converted to a numpy array for processing. Of course this is not efficient.
I would like therefore to generate a smarter python interface. In python 3 I would without doubt go for implementing the buffer protocol, which enables seamless interfacing with numpy. However, I need to support also python 2 and there the buffer protocol is not as nice. What is the best thing to do to expose the data buffer to python 2, without introducing a dependency on numpy in the application? Bonus points if the proposed solution comes with a pointer on how to implement in in SWIG (which I don't know much and feel a bit too magic for my taste). Thank you! Cheers, Daniele _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion