Regarding http://numpy.scipy.org/array_interface.shtml :
I just noticed that this out of date page is now featuring in recent
discussions about the future of Numpy in Ubuntu:
https://bugs.launchpad.net/ubuntu/+source/python-numpy/+bug/309215
Can someone with appropriate permissions fix the page
Mon, 02 Feb 2009 18:27:05 -0600, Robert Kern wrote:
On Mon, Feb 2, 2009 at 18:21, mtrum...@berkeley.edu wrote:
Hello list.. I've run into two SVD errors over the last few days. Both
errors are identical in numpy/scipy.
I've submitted a ticket for the 1st problem (numpy ticket #990).
Summary
Hi James,
On Thu, Jan 29, 2009 at 2:11 AM, James Watson watson@gmail.com wrote:
Hi,
I am interested in contributing to the port of NumPy to Python 3. Who
I should coordinate effort with?
I have started at the Python end of the problem (as opposed to
http://www.scipy.org/Python3k),
A Friday 30 January 2009, David Froger escrigué:
ok for f2py!
Otherwise, you will have to figure out how your Fortran program
writes the file. I.e. what padding, metainformation, etc. that are
used. If you switch Fortran compiler, or even compiler version from
the same vendor, you must
I've been using something I wrote:
coef_from_function (function, delta, size)
which does (c++ code):
double center = double(size-1)/2;
for (int i = 0; i size; ++i)
coef[i] = callvalue_t (func, double(i - center) * delta);
I thought to translate this to np.fromfunction. It seems
All,
When can we expect numpy 1.3 to be released ?
Sincerely,
P.
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Thanks to all for clearing this up. I have been bouncing this issue off
the folks at Intel and they allege that Intel C++ should be able to do this
independent of the version of VS used originally (I am skeptical). I am still
getting some MKL-related missing symbol errors that we are
Pierre,
Should the following work?
import numpy as np
from StringIO import StringIO
converter = {'date':lambda s: datetime.strptime(s,'%Y-%m-%d %H:%M:%SZ')}
data = np.ndfromtxt(StringIO('2009-02-03 12:00:00Z,72214.0'), delimiter=',',
names=['date','stid'], dtype=None, converters=converter)
On Feb 3, 2009, at 11:24 AM, Ryan May wrote:
Pierre,
Should the following work?
import numpy as np
from StringIO import StringIO
converter = {'date':lambda s: datetime.strptime(s,'%Y-%m-%d %H:%M:
%SZ')}
data = np.ndfromtxt(StringIO('2009-02-03 12:00:00Z,72214.0'),
delimiter=',',
Pierre GM wrote:
On Feb 3, 2009, at 11:24 AM, Ryan May wrote:
Pierre,
Should the following work?
import numpy as np
from StringIO import StringIO
converter = {'date':lambda s: datetime.strptime(s,'%Y-%m-%d %H:%M:
%SZ')}
data = np.ndfromtxt(StringIO('2009-02-03 12:00:00Z,72214.0'),
2009/2/3 Andrew Straw straw...@astraw.com:
Can someone with appropriate permissions fix the page or give me the
appropriate permissions so I can do it? I think even deleting the page
is better than keeping it as-is.
Who all has editing access to this page? Is it hosted on scipy.org?
Stéfan
Thanks a lot Fransesc and Neil, yours messages really help me.
I'll look at these solutions attentively.
Here is what I write recently, but I begin to understand it's effectively
not portable...
def fread(fileObject,*arrayAttributs):
Reading in a binary (=unformatted) Fortran file
the last line was missing :
return arrays
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Ryan May wrote:
Pierre,
I know you did some preliminary work on helping to make sure that doing
operations on masked arrays doesn't change the underlying data. I ran into
the
following today.
import numpy as np
a = np.ma.array([1,2,3], mask=[False, True, False])
b = a * 10
c = 10 *
I am trying to use numscons to build a project and have run into a
show stopper. I am using:
OS X 10.5
The builtin Python 2.5.2
Here is what I see upon running python setup.py scons:
scons: Reading SConscript files ...
DistutilsPlatformError: $MACOSX_DEPLOYMENT_TARGET mismatch: now 10.3
but
On Tue, Feb 3, 2009 at 18:12, Brian Granger ellisonbg@gmail.com wrote:
I am trying to use numscons to build a project and have run into a
show stopper. I am using:
OS X 10.5
The builtin Python 2.5.2
Here is what I see upon running python setup.py scons:
scons: Reading SConscript
On Tue, Feb 3, 2009 at 18:20, Brian Granger ellisonbg@gmail.com wrote:
Robert,
Thanks.
Yes, I just saw that this will work. When I fixed this in Cython a
while back this workaround wouldn't work. Would you still consider
this a bug? The logic to fix it is fairly simply.
What is the
On Feb 3, 2009, at 4:00 PM, Ryan May wrote:
Well, I guess I hit send too soon. Here's one easy solution
(consistent with
what you did for __radd__), change the code for __rmul__ to do:
return multiply(self, other)
instead of:
return multiply(other, self)
That fixes it
Pierre,
I know you did some preliminary work on helping to make sure that doing
operations on masked arrays doesn't change the underlying data. I ran into the
following today.
import numpy as np
a = np.ma.array([1,2,3], mask=[False, True, False])
b = a * 10
c = 10 * a
print b.data # Prints [10
David,
I am trying to use numscons to build a project and am running into
some problems:
Two smaller issues and one show stopper. First, the smaller ones:
* The web presense of numscons is currently very confusing. There are
a couple of locations with info about it, but the most prominent
I've noticed a lot of discussion on how to read binary files
written out from Fortran, and nobody seems to have mentioned
how to modify your Fortran code so it writes out a file that
can be read with numpy.fromfile() in a single line.
For example, to write out a NLINE x NSMP array of floats in
Pierre GM wrote:
On Feb 3, 2009, at 4:00 PM, Ryan May wrote:
Well, I guess I hit send too soon. Here's one easy solution
(consistent with
what you did for __radd__), change the code for __rmul__ to do:
return multiply(self, other)
instead of:
return multiply(other, self)
What is the fix you are thinking of?
This is how Cython currently handles this logic. This would have to
be modified to include the additional case of a user setting
MACOSX_DEPLOYMENT_TARGET in their environment, but that logic is
already in numpy.distutils.fcompiler.gnu.get_flags_linker_so
On Tue, Feb 3, 2009 at 18:34, Brian Granger ellisonbg@gmail.com wrote:
What is the fix you are thinking of?
This is how Cython currently handles this logic. This would have to
be modified to include the additional case of a user setting
MACOSX_DEPLOYMENT_TARGET in their environment, but
Hmm, that's still going to break for any custom build that decides to
build Python with a specific MACOSX_DEPLOYMENT_TARGET. If you're going
to fix it at all, it should default to the value in the Makefile that
sysconfig is going to check against. The relevant code to copy is in
On Tue, Feb 3, 2009 at 18:53, Brian Granger ellisonbg@gmail.com wrote:
Hmm, that's still going to break for any custom build that decides to
build Python with a specific MACOSX_DEPLOYMENT_TARGET. If you're going
to fix it at all, it should default to the value in the Makefile that
On Tue, Feb 3, 2009 at 10:19 AM, Gideon Simpson simp...@math.toronto.eduwrote:
I have an M x N matrix A and two vectors, an M dimensional vector x
and an N dimensional vector y. I would like to be able to do two
things.
1. Multiply, elementwise, every column of A by x
2. Multiply,
Hi Brian,
On Wed, Feb 4, 2009 at 9:00 AM, Brian Granger ellisonbg@gmail.com wrote:
David,
I am trying to use numscons to build a project and am running into
some problems:
Two smaller issues and one show stopper. First, the smaller ones:
* The web presense of numscons is currently
The releases are on Pypi for quite some time. I converted the repo to
git and put it on github, but I have not really worked on numscons for
several months now for lack of time ( and because numscons it mostly
done and the main limitations of numscons are not fixable without
fixing some
1) Trust the environment variable if given and let distutils raise its
error message (why not raise it ourselves? distutils' error message
and explanation is already out in THE GOOGLE.)
2) Otherwise, use the value in the Makefile if it's there.
3) If it's not even in the Makefile for
On Tue, Feb 3, 2009 at 23:22, Brian Granger ellisonbg@gmail.com wrote:
1) Trust the environment variable if given and let distutils raise its
error message (why not raise it ourselves? distutils' error message
and explanation is already out in THE GOOGLE.)
2) Otherwise, use the value in
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