El dt 29 de 05 del 2007 a les 14:17 -0400, en/na Erin Sheldon va
escriure:
Hi all -
I have read some big-endian data and I want to byte swap it to little
endian. If I use
a.byteswap(True)
the bytes clearly get swapped, but the dtype is not updated to reflect
the new data type. e.g
On Friday 25 May 2007 19:18, Robert Kern wrote:
Jesper Larsen wrote:
Hi numpy users,
I have a masked array of dimension (nvariables, nobservations) that
contain missing values at arbitrary points. Is it safe to rely on
numpy.corrcoeff to calculate the correlation coefficients of a
On 5/30/07, Francesc Altet [EMAIL PROTECTED] wrote:
El dt 29 de 05 del 2007 a les 14:17 -0400, en/na Erin Sheldon va
escriure:
Hi all -
I have read some big-endian data and I want to byte swap it to little
endian. If I use
a.byteswap(True)
the bytes clearly get swapped, but the
Hi,
This doesn't make any sense. The numbers have changed but the dtype
is now incorrect. If you byteswap and correct the dtype the numbers
have still changed, but you now can actually use the object.
By numbers have still changed I mean the underlying byte order is
still different,
Matthew, this is a very clear description of all the issues, and I now
see why it can be useful to keep the two methods separate. I think an
update to the doc string for byteswap() with this description would be
useful. Or perhaps a keyword to byteswap() in which one could specify
the behavior
Hi,
Could someone please re-create the numpy-1.0.3.tar.gz file that is
currently being distributed from sourceforge? That tar file includes
the following:
/data/sparty1/dev/tmp/numpy-1.0.3
sparty ls -al
total 44
drwxr-sr-x3 chanley science 4096 May 23 18:30 ./
drwxr-sr-x4
Jesper Larsen wrote:
Here is my solution for calculating the correlation coefficients for masked
arrays. Comments are appreciated:
def macorrcoef(data1, data2):
Calculates correlation coefficients taking masked out values
into account.
It is assumed (but not checked) that
On 30/05/07, Matthew Brett [EMAIL PROTECTED] wrote:
I think the point is that you can have several different situations
with byte ordering:
1) Your data and dtype endianess match, but you want the data swapped
and the dtype to reflect this
2) Your data and dtype endianess don't match, and
Hi,
I am building numpy on a 32 bit Linux system (Scientific Linux).
Numpy used to build fine on this system, but as I have moved to the
new 1.0.3 versions, I have run into problems building. Basically, I
get lots of things like:
undefined reference to `cblas_sdot'
and
undefined reference to
This looks like numpy.distutils has found ATLAS's FORTRAN BLAS library but not
its libcblas library. Do you have a correct site.cfg file? From Chris Hanley's
earlier post, it looks like the tarball on the SF site mistakenly includes a
site.cfg. Delete it or correct it.
I will look at this.
Take that back, unsetting LDFLAGS did work!!!
Thanks
Brian
On 5/30/07, Brian Granger [EMAIL PROTECTED] wrote:
This looks like numpy.distutils has found ATLAS's FORTRAN BLAS library but
not
its libcblas library. Do you have a correct site.cfg file? From Chris
Hanley's
earlier post,
On Thu, May 31, 2007 at 02:32:21AM +0200, Albert Strasheim wrote:
Hello all
- Original Message -
From: David M. Cooke [EMAIL PROTECTED]
To: Discussion of Numerical Python numpy-discussion@scipy.org
Sent: Thursday, May 31, 2007 2:08 AM
Subject: Re: [Numpy-discussion] build problem
Christopher Hanley wrote:
Hi,
Could someone please re-create the numpy-1.0.3.tar.gz file that is
currently being distributed from sourceforge? That tar file includes
the following:
I've fixed the tar-ball. It is named numpy-1.0.3-2.tar.gz
-Travis
Hi everybody,
I'm sorry for the cross posting, but I wanted to reach a wide audience
and I know not everybody subscribes to all the lists.
I've been thinking more about the SciPy Journal that we discussed
before and I have some thoughts.
1) I'd like to get it going so that we can push out
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