> 2009/2/4 David Cournapeau :
> On Tue, Feb 3, 2009 at 11:49 PM, Pierre GM wrote:
>> All,
>> When can we expect numpy 1.3 to be released ?
>
> I think official 2.6 support (with binaries for the platforms where we
> support binaries), x64 support and everything which has been done
> already would
On Tue, Feb 3, 2009 at 23:22, Brian Granger 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 the Makefile if
> 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
> 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
On Tue, Feb 3, 2009 at 11:49 PM, Pierre GM wrote:
> All,
> When can we expect numpy 1.3 to be released ?
Looking at the log from 1.2.x, the main committers were Charles
Harris, you and me for (that makes ~ 80 % of the commits) for *numpy*.
Then, there is the doc itself, which has seen major work
Hi Brian,
On Wed, Feb 4, 2009 at 9:00 AM, Brian Granger 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 very confusing. T
On Tue, Feb 3, 2009 at 10:19 AM, Gideon Simpson wrote:
> 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, elementwise, every row
On Tue, Feb 3, 2009 at 18:53, Brian Granger 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
>> sysconfig is going to ch
> 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
> sysconfig
On Tue, Feb 3, 2009 at 18:34, Brian Granger 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 that logic is
> al
> 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
Th
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 For
On Tue, Feb 3, 2009 at 18:20, Brian Granger 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 fix you are think
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.
Brian
On Tue, Feb 3, 2009 at 4:17 PM, Robert Kern wrote:
> On Tue, Feb 3, 2009 at 18:12, Br
On Tue, Feb 3, 2009 at 18:12, Brian Granger 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 files ...
> Distuti
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 "
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 ones
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 multipl
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
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
>
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 2
the last line was missing :
return arrays
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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
L
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
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, elementwise, every row of A by y.
What's the "quick" way to do this in numpy?
-gideon
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'),
> delimit
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)
Righ
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 cle
All,
When can we expect numpy 1.3 to be released ?
Sincerely,
P.
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2009/2/3 Andrew Straw :
> 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
__
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] = call (func, double(i - center) * delta);
I thought to translate this to np.fromfunction. It seems fromfunction
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, y
Hi James,
On Thu, Jan 29, 2009 at 2:11 AM, James Watson 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), e.g. I have sever
Mon, 02 Feb 2009 18:27:05 -0600, Robert Kern wrote:
> On Mon, Feb 2, 2009 at 18:21, 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 is: some b
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 o
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