4 Commits

Author	SHA1	Message	Date
Wenzel Jakob	369e9b3937	Permit creation of NumPy arrays with a "base" object that owns the data ... This patch adds an extra base handle parameter to most ``py::array`` and ``py::array_t<>`` constructors. If specified along with a pointer to data, the base object will be registered within NumPy, which increases the base's reference count. This feature is useful to create shallow copies of C++ or Python arrays while ensuring that the owners of the underlying can't be garbage collected while referenced by NumPy. The commit also adds a simple test function involving a ``wrap()`` function that creates shallow copies of various N-D arrays.	2016-10-13 01:03:40 +02:00
Wenzel Jakob	43f6aa6846	added numpy test (minor): check that 'strides' is respected even when creating new arrays ... - This actually works with no changes, I just wasn't 100% convinced and decided to write a test to see if it's true.	2016-10-12 23:34:13 +02:00
Ivan Smirnov	aca6bcaea5	Add tests for array data access /index methods	2016-09-10 16:42:17 +01:00
Ivan Smirnov	91b3d681ad	Expose some dtype/array attributes via NumPy C API	2016-09-10 16:24:00 +01:00