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Add documentation re: PYBIND11_DTYPE macro

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Ivan Smirnov 2016-07-02 15:33:04 +01:00
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docs/advanced.rst
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@ -1358,6 +1358,30 @@ template paramenter, and it ensures that non-conforming arguments are converted
into an array satisfying the specified requirements instead of trying the next
function overload.
NumPy structured types
======================
In order for ``py::array_t`` to work with structured (record) types, we first need
to register the memory layout of the type. This could be done via ``PYBIND11_DTYPE``
macro which expects the type followed by field names:
.. code-block:: cpp
struct A {
int x;
double y;
};
struct B {
int z;
A a;
};
PYBIND11_DTYPE(A, x, y);
PYBIND11_DTYPE(B, z, a);
/* now both A and B can be used as template arguments to py::array_t */
Vectorizing functions
=====================