Hi,
in my documentation, the copyswap function in the PyArray_ArrFuncs
structure is supposed to have this signature:
copyswap (void) (void* dest, void* src, int swap, int itemsize)
However, in the latest version of NumPy, the signature is:
copyswap (void) (void*, void*, int, void*)
My
Hi group,
Sorry, but there was an error on my previous message,
2nd paragraph, 2nd setence. It should read:
Unfortunately, I am experiencing a problem that I cannot sort
out. I am running Python 2.4.3 on a Mac G5 running OS X 10.4
Tiger (8.7.0), using gcc version 4.0.1, and the Apple
Daran,
I had a similar behaviour when I tried to use module compield with an
older f2py with a newer version of numpy. So is it maybe possible that
some *.so files are used from an earlier build?
Hanno
Daran L. Rife [EMAIL PROTECTED] said:
Hi group,
Sorry, but there was an error on my
Hi Hanno,
I had a similar behaviour when I tried to use module compield with an
older f2py with a newer version of numpy. So is it maybe possible that
some *.so files are used from an earlier build?
Many thanks for the reply. This was my first attempt
to build and use numpy; I have no
Daran L. Rife wrote:
Many thanks for the reply. This was my first attempt
to build and use numpy;
numpy used to be a generic name for the Numerical extensions to
Python. Now there are three versions:
Numeric: The original, now at version 24.2 This is probably the last
version that will be
Hi Daran,
I fortunately never had the need to run different versions in
parallel, so I basically removed the earlier versions of numpy.
However, as you possibly know, you can build wrapper functions for
fortran code with f2py (which is now shipped with numpy). And that is
where I got the segfault
For those not able to make SciPy 2006 next week, or who would like to
download the ISO a few days early, its available at
http://code.enthought.com/downloads/scipy2006-i386.iso.torrent.
We squashed a lot onto the CD, so I also had to trim 100 MB of
packages that ship with the standard Ubuntu
On Thu, 10 Aug 2006 07:33:44 -0600 (MDT)
Daran L. Rife [EMAIL PROTECTED] wrote:
Hello,
I am a veteran user of Numeric and am trying
out the latest version of numpy (numpy 1.01b)
on Mac OS X 10.4 Tiger (8.7.0).
When trying to invert a matrix with
numpy.linalg.inv I get the following
I've just finished a first version of the numarray compatibility
module. It does not include all the names from the numarray name-space
but it does include the most important ones, I believe. It also
includes a slightly modified form of the numarray type-objects so that
NumPy can recognize
Hi Sasha,
Inverting a matrix with masked values does not make much sense. Call
filled method with an appropriate fill value before passing the
matrix to inv.
In principle you are right, but even though I use masked arrays
in this operation, when the operation itself is done no masked
values
I see that Travis just fixed that by making context optional
http://projects.scipy.org/scipy/numpy/changeset/2987. I am not sure
it is a good idea to allow use of ufuncs for which domain is not
defined in ma. This may lead to hard to find bugs coming from ma
arrays with nans in the data. I
Sasha wrote:
I see that Travis just fixed that by making context optional
http://projects.scipy.org/scipy/numpy/changeset/2987. I am not sure
it is a good idea to allow use of ufuncs for which domain is not
defined in ma. This may lead to hard to find bugs coming from ma
arrays with nans in
Hi,
trying to convert my memmap - records - numarray code for reading a image
file format (Mrc).
There are 10 fields of strings (each 80 chars long) in the header:
in numarray I used the format string '10a80'
This results in a single None value in numpy.
Same after changing it to '10S80'.
Am I
On Thursday 10 August 2006 16:57, Travis Oliphant wrote:
Sebastian Haase wrote:
Hi,
trying to convert my memmap - records - numarray code for reading a
image file format (Mrc).
There are 10 fields of strings (each 80 chars long) in the header:
in numarray I used the format string
Hi,
Does numpy.ascontiguousarray(arr) fix the byteorder when arr is non-native
byteorder ?
If not, what functions does ?
- Sebastian Haase
-
Using Tomcat but need to do more? Need to support web services, security?
Get
Sebastian Haase wrote:
Hi,
Does numpy.ascontiguousarray(arr) fix the byteorder when arr is non-native
byteorder ?
If not, what functions does ?
It can if you pass in a data-type with the right byteorder (or use a
native built-in data-type).
In NumPy, it's the data-type that carries
Travis Oliphant wrote:
Sebastian Haase wrote:
This is what I get: It claims that the 'title' field (the last one)
is 10 times 'S80' but trying to read that array from the first (and
only) record (a.Mrc._hdrArray.title[0]) I just get None...
Hopefully that problem is resolved now. I
Travis Oliphant wrote:
Sebastian Haase wrote:
Hi,
Does numpy.ascontiguousarray(arr) fix the byteorder when arr is
non-native byteorder ?
If not, what functions does ?
It can if you pass in a data-type with the right byteorder (or use a
native built-in data-type).
In NumPy, it's
Hi Chris,
I tried your suggestion of installing and running the pre-built
packages at http://www.pythonmac.org/packages/py24-fat/. I am
sorry to report that the pre-built MacPython and Numeric 24.2
package did not work. I get the same Segmentation Fault that
I got when I built Python 2.4.3 and
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