On 07/09/2010 02:03 PM, Mark Bakker wrote:
Hello list. The following subroutine fails to compile with f2py.
I use a complex variable with intent(inout). It works fine with two real
variables, so I have a workaround, but it would be nicer with a complex
variable.
Any thoughts on what I am
Robert Kern robert.kern at gmail.com writes:
Please install Fernando's datarray package, play with it, read its
documentation, then come back with objections or alternatives. I
really don't think you understand what is being proposed.
Well the discussion has been pretty confusing. For
But the utility of named indices is not so clear
to me. As I understand it, these new arrays will still only be
able to have a single type of data (one of float, str, int and so
on). This seems to be pretty limiting.
This just shows that people use NumPy for lots of different things. I
myself
On 07/11/2010 01:13 PM, David Goldsmith wrote:
Hi! I'm a little confused: in the docstring for numpy.fft we find the
following:
For an even number of input points, A[n/2] represents both positive and
negative Nyquist frequency...
but according to
In numpy.fft we find the following:
Then A[1:n/2] contains the positive-frequency terms, and A[n/2+1:] contains
the negative-frequency terms, in order of decreasingly negative frequency.
Just want to confirm that decreasingly negative frequency means ...,
A[n-2] = A_(-2), A[n-1] = A_(-1), as
Le dimanche 11 juillet 2010 à 16:13 -0700, David Goldsmith a écrit :
Hi! I'm a little confused: in the docstring for numpy.fft we find the
following:
For an even number of input points, A[n/2] represents both positive
and negative Nyquist frequency...
but according to
On Sun, Jul 11, 2010 at 6:18 PM, David Goldsmith d.l.goldsm...@gmail.comwrote:
In numpy.fft we find the following:
Then A[1:n/2] contains the positive-frequency terms, and A[n/2+1:]contains
the negative-frequency terms, in order of decreasingly negative
frequency.
Just want to confirm
