Michael Abshoff wrote:
>
> Unfortunately numpy 1.2.x does not support Python 2.6. IIRC support is
> planned for numpy 1.3.
>
Also it is true it is not supported, it should at least build on most if
not all platforms where numpy used to run under python 2.5.
Not finding -lpython2.6 is more lik
Gael Varoquaux <[EMAIL PROTECTED]> writes:
> Hey Emmanuelle, ( :>)
>
> On Sun, Nov 02, 2008 at 08:39:39PM +0100, Emmanuelle Gouillart wrote:
Thanks both of you.
>this will avoid what seems to be an error in Emmanuelle's answer. By
>the way, I am not too sure why Paul has used a numpy.ar
Gideon Simpson wrote:
> Not sure if this is an issue with numpy or an issue with fink python
> 2.6, but when trying to build numpy, I get the following error:
Unfortunately numpy 1.2.x does not support Python 2.6. IIRC support is
planned for numpy 1.3.
> gcc -L/sw/lib -bundle /sw/lib/python2.6
Not sure if this is an issue with numpy or an issue with fink python
2.6, but when trying to build numpy, I get the following error:
gcc -L/sw/lib -bundle /sw/lib/python2.6/config -lpython2.6 build/
temp.macosx-10.5-i386-2.6/numpy/core/src/multiarraymodule.o -o build/
lib.macosx-10.5-i386-2.6/
Hey Emmanuelle, ( :>)
On Sun, Nov 02, 2008 at 08:39:39PM +0100, Emmanuelle Gouillart wrote:
> although I'm not an expert either, it seems to me you could improve your
> code a lot by using numpy.mgrid
> Below is a short example of what you could do
> coordinates = numpy.mgrid[0:R, 0:R, 0:R]
> X,
Sorrywrong list.
On Sun, Nov 2, 2008 at 11:34 AM, T J <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I'm having trouble installing PyUblas 0.93.1 (same problems from the
> current git repository). I'm in ubuntu 8.04 with standard boost
> packages (1.34.1, I believe). Do you have any suggestions?
>
> T
Hello Paul,
although I'm not an expert either, it seems to me you could improve your
code a lot by using numpy.mgrid
Below is a short example of what you could do
coordinates = numpy.mgrid[0:R, 0:R, 0:R]
X, Y, Z = coordinates[0].ravel(), coordinates[1].ravel(),coordinates[2].ravel()
bits = self.
Try rankdata in scipy.stats
On Nov 2, 2008, at 1:35 PM, Keith Goodman wrote:
> On Sun, Nov 2, 2008 at 10:24 AM, Abhimanyu Lad
> <[EMAIL PROTECTED]> wrote:
>> Is there a direct or indirect way in numpy to compute the sample
>> ranks of a
>> given array, i.e. the equivalent of rank() in R.
>>
>
I'm experimenting with numpy and I've just written the code below, which
computes the thing I want (I think). Self.bits is an RxRxR array
representing a voxelized 3d model - values are either 0 or 1. I can't
help thinking that's there must be a much nicer way to do it. Any
suggestions?
centre =
On Sun, Nov 2, 2008 at 10:24 AM, Abhimanyu Lad <[EMAIL PROTECTED]> wrote:
> Is there a direct or indirect way in numpy to compute the sample ranks of a
> given array, i.e. the equivalent of rank() in R.
>
> I am looking for:
> rank(array([6,8,4,1,9])) -> array([2,3,1,0,4])
>
> Is there some clever
Hi,
Is there a direct or indirect way in numpy to compute the sample ranks of a
given array, i.e. the equivalent of rank() in R.
I am looking for:
rank(array([6,8,4,1,9])) -> array([2,3,1,0,4])
Is there some clever use of argsort() that I am missing?
Thanks,
Abhi
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