Using order='F' solved the problem.
Thanks for reply.
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Yes, f2py is probably copying the arrays; you can check this by appending
-DF2PY_REPORT_ON_ARRAY_COPY=1 to your call to f2py.
I normally prefer to keep the numpy arrays C-order (most efficient for
numpy) and simply pass the array transpose to the f2py-ized fortran routine.
This means that the for
On So, 2016-04-10 at 12:04 +0200, Vasco Gervasi wrote:
> Hi all,
> I am trying to write some code to do calculation onto an array: for
> each row I need to do some computation and have a number as return.
> To speed up the process I wrote a fortran subroutine that is called
> from python [using f2p
Hi all,
I am trying to write some code to do calculation onto an array: for each
row I need to do some computation and have a number as return.
To speed up the process I wrote a fortran subroutine that is called from
python [using f2py] for each row of the array, so the input of this
subroutine is
