python - How to convert numpy ndarray to C float *[] -

i have code in c, use in python, used swig wrap c-code, , got python module imported in python code.

now have following code:

import flame import numpy np  data = np.random.rand(3,2).astype(np.float32, copy=false) n = 3 m = 2 print data  flameobject = flame.flame_new() flame.flame_setdatamatrix( flameobject, data, n, m, 0 ) 

and gives error:

typeerror: in method 'flame_setdatamatrix', argument 2 of type 'float *[]' 

i understand should pass float array pointer method, how can convert numpy multi-dimensional array correct type?

there scipy documentation on this: how pass numpy arrays c code via swig (and vice versa). have here.

basically, there swig interface file numpy.i use in following way. in swig interface file include:

%{ #define swig_file_with_init %} %include "numpy.i" %init %{ import_array(); %} 

and add in interface file, before mentioning c functions:

%apply ( float* in_array2, int dim1, int dim2 ) {     (float* your_array_parameter_name, int n_parameter_name, int m_parameter_name) }; 

this works ordinary c float arrays. not quite sure float* [] is. may need write own typemaps this, can use utility macros provided numpy.i. explained in numpy.i documentation mentioned above, or in relevant swig typemap docs