我使用Pybind11，试图将numpy数组传递给c ++到CustomerMaint graph = PXGraph.CreateInstance<CustomerMaint>(); graph.Baccount.Current = graph.Baccount.Search<Customer.baccountID>(pmInstance.BaccountID); if (graph.Baccount.Current != null) { throw new PXRedirectRequiredexception(graph,true,Messages.ViewCustomer) { Mode = PXBaseRedirectException.WindowMode.NewWindow }; } 中，将其乘以2，然后将此std::vector作为numpy数组返回给python。

我已经迈出了第一步，但第三步却做了一些奇怪的事情。为了将其传回，我使用了：std::vector奇怪的意思是，Python返回的向量没有正确的尺寸或正确的顺序。

例如，我具有数组：

py::array ret =  py::cast(vect_arr);

代码返回：

[[ 0.78114362  0.06873818  1.00364053  0.93029671]
 [ 1.50885413  0.38219005  0.87508337  2.01322396]
 [ 2.19912915  2.47706644  1.16032292 -0.39204517]]

我已经阅读了文档，但是我必须承认在理解大多数文档时遇到了麻烦。因此，对于此具体示例的任何帮助将不胜感激。提前致谢。

这里是一个示例：

array([[ 1.56228724e+000,3.01770826e+000,4.39825830e+000,5.37804299e+161],[ 1.86059342e+000,4.02644793e+000,-7.84090347e-001,1.38298992e-309],[ 1.75016674e+000,2.32064585e+000,0.00000000e+000,1.01370255e-316]])

以及python代码：

#include <pybind11/pybind11.h>
#include <pybind11/numpy.h>
#include <pybind11/stl.h>
#include <Python.h>
namespace py = pybind11;
py::module nn = py::module::import("iteration");


py::array nump(py::array arr){

    auto arr_obj_prop = arr.request();
    //initialize values
    double *vals = (double*) arr_obj_prop.ptr;

    unsigned int shape_1 = arr_obj_prop.shape[0];
    unsigned int shape_2 = arr_obj_prop.shape[1];


    std::vector<std::vector <double>> vect_arr( shape_1,std::vector<double> (shape_2));

    for(unsigned int i = 0; i < shape_1; i++){
      for(unsigned int j = 0; j < shape_2; j++){
        vect_arr[i][j] = vals[i*shape_1 + j*shape_2] * 2;
      }
    }   

    py::array ret =  py::cast(vect_arr); //py::array(vect_arr.size(),vect_arr.data());
    return ret;

}

PYBIND11_MODULE(iteration_mod,m) {

    m.doc() = "pybind11 module for iterating over generations";

    m.def("nump",&nump,"the function which loops over a numpy array");
}

所有这些使用以下命令编译：{{1​​}} python3 -m pybind11 --includes import numpy as np import iteration_mod as i_mod class iteration(object): def __init__(self): self.iterator = np.random.normal(0,1,(3,4)) def transform_to_dict(self): self.dict = {} for i in range(self.iterator.shape[0]): self.dict["key_number_{}".format(i)] = self.iterator[i,:] return self.dict def iterate_iterator(self): return i_mod.nump(self.iterator) def iterate_dict(self): return i_mod.dict(self) a = iteration() print(a.iterator) print(a.iterate_iterator())