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How do I convert C++ vector to NumPy array using Boost.Python?

• I have the following codes compiled successfully, but I get "Segmentation fault (core dumped)" in Python output. C++ part: boost::python::object stdVecToNumpyArray( std::vector<int>& vec ) {     npy_intp size = vec.size();     PyObject *pyObj = PyArray_SimpleNewFromData(1, &size,     NPY_INT, &vec[0]);     boost::python::handle<> handle(pyObj);     boost::python::numeric::array arr(handle);     return arr.copy(); } class Data { public:     Data(int n):data(n, 1) {}     boost::python::object output() {         return stdVecToNumpyArray(data);     } private:     std::vector<int> data; }; using namespace boost::python; BOOST_PYTHON_MODULE(plot) {     class_<Data>("Data", init<int>())         .def("output", &Data::output); } Python part: from plot import * data = Data(10) print data.output()

• Answer:

  Here is the code I use : https://github.com/ndarray/Boost.NumPy So it would look something like namespace bp = boost::python; namespace bn = boost::numpy; class Data { public: Data(int n):data(bn::empty(bp::make_tuple(1),bn::dtype::get_builtin<int>())) { auto idx=0;//only one element *(reinterpret_cast<int* >(data.get_data())+idx)=n; } bp::object output() { return data; } private: bn::ndarray data; }; Of course you can add iterators and such to Data and make it loook more like a STL compatible container.