Hi Andrea
On 2014-11-16 19:42:09, Andrea Arteaga andyspi...@gmail.com wrote:
My use case is the following: we have a some 3D arrays in our C++
framework. The ordering of the elements in these arrays is neither C nor
Fortran style: it might be IJK (i.e. C style, 3rd dimension contiguous in
Have you tried using the C-API to create the array? This link might be of
help:
http://docs.scipy.org/doc/numpy/reference/c-api.array.html#creating-arrays
I know that Boost.Python can handle this.
On Sun, Nov 16, 2014 at 3:42 PM, Andrea Arteaga andyspi...@gmail.com
wrote:
Hello.
Using the
Hi.
Yesterday I tried to make use of the C API, but I did not manage to have
anything useful. The reference is very well done, but I feel the lack for
some tutorial that would guide with some examples. Do you know of any?
The array interface looks sounds like a very good solution. In a sense it
On Sun, Nov 16, 2014 at 5:42 PM, Andrea Arteaga andyspi...@gmail.com wrote:
Hello.
Using the numpy.frombuffer function [1] one can initialize a numpy array
using an existing python object that implements the buffer protocol [2].
This is great, but currently this function supports only 1D
Andrea Arteaga andyspi...@gmail.com wrote:
My use case is the following: we have a some 3D arrays in our C++
framework. The ordering of the elements in these arrays is neither C nor
Fortran style: it might be IJK (i.e. C style, 3rd dimension contiguous in
memory), KJI (i.e. Fortran style,
The np.ndarray constructor
http://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html takes
a strides argument argument, and a buffer. Is it not sufficiently flexible?
-Robert
On Sun, Nov 16, 2014 at 4:27 PM, Sturla Molden sturla.mol...@gmail.com
wrote:
Andrea Arteaga
