On Fri, Jul 23, 2010 at 11:46 AM, celil wrote:
> Hello,
>
> I just installed numpy on Snow Leopard using pip. However, running the
> tests results in a segmentation fault. Has anybody else encountered this
> problem? How did you solve it?
>
> Do not use pip or easy_install, these tools are not ve
Report datarray bugs here: http://github.com/fperez/datarray/issues
A datarray is a subclass of a Numpy array that adds the ability to
label the axes and to label the elements along each axis.
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Hi David & others,
On Tue, Jul 20, 2010 at 19:09, David Cournapeau wrote:
> On Tue, Jul 20, 2010 at 4:21 PM, Sandro Tosi wrote:
>> Hi David,
>>
>> On Tue, Jul 20, 2010 at 10:34, David Cournapeau wrote:
yes, I see it at r8510
>>>
>>> I quickly adapted the code from the Sun math library for
Hi folks,
We are (finally) about to begin reviewing and proofing the NumPy
docstrings! This is the final step in producing professional-level
docs for NumPy. What we need now are people willing to review docs.
There are two types of reviewers:
Technical reviewers should be developers or *very*
Fri, 23 Jul 2010 11:17:56 -0400, Alan G Isaac wrote:
[clip]
> I also do not understand why there would have to be any special cases.
That's a technical issue: e.g. prod() is implemented via
np.multiply.reduce, and it is not clear to me whether it is possible, in
the ufunc machinery, to leave the
> Fri, 23 Jul 2010 10:29:47 -0400, Alan G Isaac wrote:
>> >>> np.subtract.reduce([])
>> 0.0
>>
>> Getting a right identity for an empty array is surprising. Matching
>> Python's behavior (raising a TypeError) seems desirable. (?)
On 7/23/2010 10:37 AM, Pauli Virtanen wrote
Hi,I am trying to install Numpy on a Linux cluster running RHEL4. I installed a local copy of Python 2.7 because RHEL4 uses Python 2.3.4 for various internal functionalities. I downloaded the Numpy source code usingsvn co http://svn.scipy.org/svn/numpy/trunk numpyand then I tried to build usingpy
Fri, 23 Jul 2010 10:29:47 -0400, Alan G Isaac wrote:
[clip]
> >>> np.subtract.reduce([])
> 0.0
>
> Getting a right identity for an empty array is surprising. Matching
> Python's behavior (raising a TypeError) seems desirable. (?)
I don't think matching Python's behavior is a suf
On 7/22/2010 4:00 PM, Johann Hibschman wrote:
> I'm trying to understand numpy.subtract.reduce. The documentation
> doesn't seem to match the behavior. The documentation claims
>
>For a one-dimensional array, reduce produces results equivalent to:
>
>r = op.identity
>for i in xrange(l
Hi,
I am pleased to announce the 0.11.0 release of audiolab scikits, the
package to read/write audio file formats into numpy. This release has
barely no changes compared to 0.10.x series, but it finally fixes
annoying windows issues (which ended up being mingw bugs).
Source tarball and python 2.6
On Friday 23 July 2010 10:16:41 Ian Mallett wrote:
> self.patches.sort( lambda x,y:cmp(x.residual_radiance,y.residual_radiance),
> reverse=True )
Using sort(key = lambda x: x.residual_radiance) should be faster.
> Because I've never used arrays of Python objects (and Googling didn't turn
> up any
Fri, 23 Jul 2010 01:16:41 -0700, Ian Mallett wrote:
[clip]
> Because I've never used arrays of Python objects (and Googling didn't
> turn up any examples), I'm stuck on how to sort the corresponding array
> in NumPy in the same way.
I doubt you will gain any speed by switching from Python lists to
Ian Mallett wrote:
> self.patches.sort( lambda
> x,y:cmp(x.residual_radiance,y.residual_radiance), reverse=True )
>
...
>
> more, but I couldn't figure out how I'd handle the different attributes
> (or specifically, how to keep them together during a sort).
I'm not sure you gain much using num
How about numpy.set_printoptions(suppress=True)?
See
http://docs.scipy.org/doc/numpy/reference/generated/numpy.set_printoptions.html
.
HTH,
Ian
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Hi,
My array of integers is printed like this by default in numpy:
array([[ 4.7500e+02, 9.5000e+02, -1.e+00],
[ 2.6090e+03, 9.5000e+02, -7.0900e+02]])
Can I set an option so that numpy never uses this scientific notation or
raise the threshold at whic
Hi,
So working on the radiosity renderer:
http://a.imageshack.us/img186/2479/image2f.png.
The code now runs fast enough to generate the data required to draw that.
Now, I need to optimize the radiosity calculation, so that it will converge
in a reasonable amount of time. Right now, the individua
Hi,
I don't know about pip but if you use macports all the python 2.6, scipy et
al libs all set up fine with problems on snow leopard. If you really want
2.7 then not sure what to say.
Martin
celil wrote:
>
> Hello,
>
> I just installed numpy on Snow Leopard using pip. However, running the
On Fri, Jul 23, 2010 at 12:13 AM, Jon Wright wrote:
> Ian Mallett wrote:
> >
> > To the second, actually, I need to increment the number of times the
> > index is there. For example, if b=[1,5,6,6,6,9], then a[6-1] would have
> > to be incremented by +3 = +1+1+1. I tried simply a[b-1]+=1, but i
Ian Mallett wrote:
>
> To the second, actually, I need to increment the number of times the
> index is there. For example, if b=[1,5,6,6,6,9], then a[6-1] would have
> to be incremented by +3 = +1+1+1. I tried simply a[b-1]+=1, but it
> seems to only increment values once, even if there are mo
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