The NumPy Fortran-ordering quiz
Charles R Harris
charlesr.harris at gmail.com
Wed Oct 18 16:48:22 CDT 2006
On 10/18/06, George Nurser <gnurser at googlemail.com> wrote:
>
> > > None of the LaPack stuff seems to use the Fortran stuff, they just
> > > transpose and copy.
>
> You've got me worried here. I have assumed that when you start with a
> c-contiguous array, a, with say,a.shape = (m,n), if you use the
> transpose as an argument to a fortran routine which requires an mxn
> size array, then no copying is required.
>
> This seems to work for me -- the transpose *does* have fortran order.
Nope. The result is an (n,m) array in fortran order, not an (m,n) array in
fortran order.
In [52]:a = array([[1,2,3],[4,5,6]])
In [53]:a.transpose().flags
Out[53]:
CONTIGUOUS : False
FORTRAN : True
OWNDATA : False
WRITEABLE : True
ALIGNED : True
UPDATEIFCOPY : False
In [54]:a.transpose().shape
Out[54]:(3, 2)
Looks like what you want is either fastcopyandtranspose or the order flag.
In [56]:fastCopyAndTranspose(a).flags
Out[56]:
CONTIGUOUS : True
FORTRAN : False
OWNDATA : True
WRITEABLE : True
ALIGNED : True
UPDATEIFCOPY : False
which is a (n,m) array in c order, i.e., an (m,n) array in fortran order. Or
In [57]:array(a, order='F').flags
Out[57]:
CONTIGUOUS : False
FORTRAN : True
OWNDATA : True
WRITEABLE : True
ALIGNED : True
UPDATEIFCOPY : False
which is a (m,n) array in fortran order.
Also, in f2py, if I use -DF2PY_REPORT_ON_ARRAY_COPY=1 I receive no
> alert of any copy.
f2py takes care of the ordering, which is one reason why it is so useful.
Chuck
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