Use SWIG to wrap C++ <vector> as python NumPy array -

i have c++ library defines following (and more them) types:

typedef std::vector< double > doublevec;  typedef std::vector< doublevec > doublevecvec;  typedef std::vector< int > intvec;  typedef std::vector< intvec > intvecvec; 

i trying create python interface library handles objects that. title states, interface convert to/from c++ std::vector , numpy ndarray.

i have seen both numpy.i provided numpy people , std_vector.i swig people. problems numpy.i created handle c/c++ arrays (not c++ vectors) , std_vector.i doesn't conversion directly to/from numpy arrays.

any ideas?

i have seen fenics project has done this, project large having hard time finding out how specific task.

try starting point.

%include "numpy.i"  %apply (size_t dim1, double* in_array1) {(size_t len_, double* vec_)}  %rename (foo) my_foo; %inline %{ int my_foo(size_t len_, double* vec_) {     std::vector<double> v;     v.insert(v.end(), vec_, vec_ + len_);     return foo(v); } %}  %apply (size_t dim1, size_t dim2, double* in_array2) {(size_t len1_, size_t len2_, double* vec_)}  %rename (bar) my_bar; %inline %{ int my_bar(size_t len1_, size_t len2_, double* vec_) {     std::vector< std::vector<double> > v (len1_);     (size_t = 0; < len1_; ++i) {         v[i].insert(v[i].end(), vec_ + i*len2_, vec_ + (i+1)*len2_);     }     return bar(v); } %}