On Wed, Apr 8, 2009 at 20:39, Ian Mallett wrote:
> Hello,
>
> I want to make an array of size sqrt(n) by sqrt(n) by 3, filled with special
> values.
>
> The values range from 0.0 to 3.0, starting with 0.0 at one corner and ending
> at 3.0 in the opposite, increasing going row by row. The value is
On Thu, Apr 9, 2009 at 01:29, Anne Archibald wrote:
> What's wrong with np.amin(a,axis=-1)[...,np.newaxis]?
It's cumbersome, particularly when you have axis=arbitrary_axis.
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our
2009/4/9 Charles R Harris :
>
>
> On Tue, Apr 7, 2009 at 12:44 PM, Dan Lenski wrote:
>>
>> Hi all,
>>
>> I often want to use some kind of dimension-reducing function (like min(),
>> max(), sum(), mean()) on an array without actually removing the last
>> dimension, so that I can then do operations
On Wed, Apr 8, 2009 at 3:34 AM, Ondrej Certik wrote:
> Yes.
Do you have any windows developers (I am sorry, I am not familiar at
all with sympy)?
My main concern with git are:
- you may need the command line
- the index can be confusing (you can avoid learning it at first, but
still some erro
On Tue, Apr 7, 2009 at 12:44 PM, Dan Lenski wrote:
> Hi all,
>
> I often want to use some kind of dimension-reducing function (like min(),
> max(), sum(), mean()) on an array without actually removing the last
> dimension, so that I can then do operations broadcasting the reduced
> array back to
Matthew Brett wrote:
>
> Yes it does...
>
Ok.
> Yes, I know, hence my suggestion of something more practical in the
> short term. I wonder whether the installer could be:
>
> by default, smallish, with just numpy, with the option of pulling down
> the lapack libraries from the web on installa
On Thu, Apr 09, 2009 at 11:11:13AM +0900, David Cournapeau wrote:
> > No problem of course if we've done a development install - we already
> > needed to have blas/lapack.
> I am not sure I understand: why do you need blas/lapack to build
> projects ? Does NiPY itself uses blas/lapack ?
NiPy us
Hi,
>> We at the NIPY project have run into what seems like a recurring
>> problem; we want to build our code against both numpy and lapack, on
>> windows, linux and OS X.
>>
>> No problem of course if we've done a development install - we already
>> needed to have blas/lapack.
>
> I am not sure I
Hi Matthew,
On Thu, Apr 9, 2009 at 4:44 AM, Matthew Brett wrote:
> Hello,
>
> Summary: is it possible to distribute, optionally or not, the blas /
> lapack libraries that numpy is built against, with the numpy binary
> installers?
Yes, it is possible.
> We at the NIPY project have run into what
Hello,
I want to make an array of size sqrt(n) by sqrt(n) by 3, filled with special
values.
The values range from 0.0 to 3.0, starting with 0.0 at one corner and ending
at 3.0 in the opposite, increasing going row by row. The value is to be
encoded in each color. Because this is somewhat abstra
2009/4/9 Pierre GM :
>> a.dtype.names = ('c', 'd')
>
> Now that's wicked neat trick ! I love it ! Faster than taking a view
> for sure.
> Note that rename_fields should work also w/ nested fields (not that
> common, true).
Yes, that is slightly more effort:
In [30]: arr = np.array(((2,3),), dtype
On Apr 8, 2009, at 6:18 PM, Stéfan van der Walt wrote:
> 2009/4/9 Pierre GM :
>>> for a numpy.recarray, is it possible to rename the fields in the
>>> dtype?
>>
>> Take a new view:
>> >>> a = np.array([(1,1)],dtype=[('a',int),('b',int)])
>> >>> b = a.view([("A",int), ('b', int)])
>>
>> or:
>>
>
2009/4/9 Pierre GM :
>> for a numpy.recarray, is it possible to rename the fields in the
>> dtype?
>
> Take a new view:
> >>> a = np.array([(1,1)],dtype=[('a',int),('b',int)])
> >>> b = a.view([("A",int), ('b', int)])
>
> or:
>
> use numpy.lib.recfunctions.rename_fields
Or change the names tuple
On Apr 8, 2009, at 5:57 PM, Elaine Angelino wrote:
> hi there --
>
> for a numpy.recarray, is it possible to rename the fields in the
> dtype?
Take a new view:
>>> a = np.array([(1,1)],dtype=[('a',int),('b',int)])
>>> b = a.view([("A",int), ('b', int)])
or:
use numpy.lib.recfunctions.renam
hi there --
for a numpy.recarray, is it possible to rename the fields in the dtype?
thanks a bunch
elaine
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On Wed, Apr 08, 2009 at 12:44:02PM -0700, Matthew Brett wrote:
> Summary: is it possible to distribute, optionally or not, the blas /
> lapack libraries that numpy is built against, with the numpy binary
> installers?
You mean the unlinked libraries (.a or .so), and the corresponding
headers, I be
Hello,
Summary: is it possible to distribute, optionally or not, the blas /
lapack libraries that numpy is built against, with the numpy binary
installers?
We at the NIPY project have run into what seems like a recurring
problem; we want to build our code against both numpy and lapack, on
windows
Wed, 08 Apr 2009 09:59:50 +0200, Gael Varoquaux kirjoitti:
> On Wed, Apr 01, 2009 at 08:40:15PM +, Pauli Virtanen wrote:
>> It was an incompatibility of Numpy's autosummary extension and Sphinx
>> >= 0.6. It should now be fixed in Numpy trunk.
>
> autosummary is now in Sphinx (>= 0.6). Shouldn
charlie wrote:
> Hi All,
Hi Charlie,
> I got the "undefined symbol: PyUnicodeUCS2_FromUnicode" error when
> importing numpy.
>
> I have my own non-root version of python 2.5.4 final installed with
> --prefix=$HOME/usr.
> PYTHONHOME=$HOME/usr;
> PYTHONPATH="$PYTHONHOME/lib:$PYTHONHOME/lib/python
charlie wrote:
> Hi All,
>
> I got the "undefined symbol: PyUnicodeUCS2_FromUnicode" error when
> importing numpy.
>
> I have my own non-root version of python 2.5.4 final installed with
> --prefix=$HOME/usr.
> PYTHONHOME=$HOME/usr;
> PYTHONPATH="$PYTHONHOME/lib:$PYTHONHOME/lib/python2.5/site-pack
On Wed, Apr 8, 2009 at 03:05, charlie wrote:
> Hi All,
>
> I got the "undefined symbol: PyUnicodeUCS2_FromUnicode" error when
> importing numpy.
>
> I have my own non-root version of python 2.5.4 final installed with
> --prefix=$HOME/usr.
> PYTHONHOME=$HOME/usr;
> PYTHONPATH="$PYTHONHOME/lib:$PYT
Hi All,
I got the "undefined symbol: PyUnicodeUCS2_FromUnicode" error when
importing numpy.
I have my own non-root version of python 2.5.4 final installed with
--prefix=$HOME/usr.
PYTHONHOME=$HOME/usr;
PYTHONPATH="$PYTHONHOME/lib:$PYTHONHOME/lib/python2.5/site-packages/"
install and import other
On Wed, Apr 01, 2009 at 08:40:15PM +, Pauli Virtanen wrote:
> It was an incompatibility of Numpy's autosummary extension and
> Sphinx >= 0.6. It should now be fixed in Numpy trunk.
autosummary is now in Sphinx (>= 0.6). Shouldn't we be using Sphinx's
version, and default to ours for versions
On Wed, Apr 01, 2009 at 01:40:54AM +, Hans-Andreas Engel wrote:
> By the way, matrix multiplication is one of the testcases for the generalized
> ufuncs in numpy 1.3 -- this makes playing around with it easy:
> In [1]: N = 10; a = randn(N, 4, 4); b = randn(N, 4, 4)
> In [2]: import numpy.
David Cournapeau wrote:
> The details will depend on your matrix library, but the underlying numpy
> array object has a full C api, so you can do whatever you want with it
> in your C++ code. But it can get quite messy :)
>
> I don't know for MTL, and for C++, boost can be useful, like Neal
> sugge
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