On Fri, Mar 25, 2011 at 1:44 AM, Derek Homeier <
de...@astro.physik.uni-goettingen.de> wrote:
> On 24.03.2011, at 9:11AM, Pearu Peterson wrote:
> >
> > Intel-64bit:
> > ERROR: test_assumed_shape.TestAssumedShapeSumExample.test_all
> > ---
Hi Mark, hi all,
I noticed you did a lot of cleaning in the bug trackers, thank you for
helping there, this is sorely needed.
However, I noticed quite a few tickets were closed as wontfix even
though they are valid. I understand the concern of getting many
languishing tickets, but one should n
On 24.03.2011, at 9:11AM, Pearu Peterson wrote:
>
> Intel-64bit:
> ERROR: test_assumed_shape.TestAssumedShapeSumExample.test_all
> --
> Traceback (most recent call last):
> File "/sw/lib/python3.2/site-packages/nose/case.py", li
On Thu, Mar 24, 2011 at 01:57:46PM -0700, Nadav Horesh wrote:
> The code doc refer to an excellent reference [Wegelin et al. 2000], so
> no real problem here. If the reference is critical I would suggest on
> of the following:
> 1. Put a link to the document.
Do you have one? I'd be happy to add
I have done some work on scipy.ndimage.measurements, and was adding to
it recently when I noticed I had made use of the idiom
A[X] = Y
with repeated indices in X, relying on the behavior that the last X,Y
pair at each unique X is the one that is assigned in A (last = last by
position in X).
I th
Yes, he is. I'll work on it early next week, and post any comment I'll have.
Documentation quality: The code doc refer to an excellent reference [Wegelin et
al. 2000], so no real problem here. If the reference is critical I would
suggest on of the following:
1. Put a link to the document.
2. Is
On Thu, Mar 24, 2011 at 08:15:12PM +0100, Olivier Grisel wrote:
> 2011/3/24 Nadav Horesh :
> > I am looking for a partial least sqaures code refactoring for two (X,Y)
> > matrices. I found the following, but they not not work for me:
> > 1. MDP: Factors only one matrix (am I wrong?)
> > 2. pychem:
On Thu, Mar 24, 2011 at 12:06:56PM -0700, Nadav Horesh wrote:
>I am looking for a partial least sqaures code refactoring for two (X,Y)
>matrices. I found the following, but they not not work for me:
We have had a PLS code contributed in the scikits learn very recently:
http://scikit-learn.
On 24/03/11 10:00, Dmitrey wrote:
> hi,
> when numpy in Linux apt will be updated? It's still 1.3.0 with many bugs
>
> I have Linux KUBUNTU 10.10
>
> D.
(k)ubuntu 11.04 (to be released in april) will have at numpy 1.5.1 (or possible
newer)
https://launchpad.net/ubuntu/+source/python-numpy
also s
On Thu, Mar 24, 2011 at 12:34 AM, Derek Homeier
wrote:
> Hi again,
>
> On 23 Mar 2011, at 17:07, Ralf Gommers wrote:
>
>> I am pleased to announce the availability of the first beta of NumPy
>> 1.6.0. Due to the extensive changes in the Numpy core for this
>> release, the beta testing phase will l
2011/3/24 Nadav Horesh :
> I am looking for a partial least sqaures code refactoring for two (X,Y)
> matrices. I found the following, but they not not work for me:
> 1. MDP: Factors only one matrix (am I wrong?)
> 2. pychem: Windows only code (I use Linux)
> 3. chemometrics from Koders: I get a sin
I am looking for a partial least sqaures code refactoring for two (X,Y)
matrices. I found the following, but they not not work for me:
1. MDP: Factors only one matrix (am I wrong?)
2. pychem: Windows only code (I use Linux)
3. chemometrics from Koders: I get a singularity error.
4. pca_module (By
2011/3/24 Dmitrey :
> Are there any plans for merging bottleneck into numpy?
No plans, but no particular opposition. bottleneck is a good place to
experiment with these optimizations. When they settle, it might be
worth folding them back in.
> Also, are those benchmarks valid for ordinary numpy
On Thu, Mar 24, 2011 at 6:19 AM, Ralf Gommers
<
ralf.gomm...@googlemail.com > wrote:
> 2011/3/24 Dmitrey < tm...@ukr.net >:
>> hi,
>> is there any way to get argmin and argmax of an array w/o nans?
>> Currently I have
> from numpy import
On Thu, Mar 24, 2011 at 5:11 PM, Robert Kern wrote:
> 2011/3/24 Dmitrey :
> from numpy import inf, array
> inf*0
>> nan
>>
>> (ok)
>>
> array(inf) * 0.0
>> StdErr: Warning: invalid value encountered in multiply
>> nan
>>
>> My cycled calculations yields this thousands times slowing com
2011/3/24 Dmitrey :
from numpy import inf, array
inf*0
> nan
>
> (ok)
>
array(inf) * 0.0
> StdErr: Warning: invalid value encountered in multiply
> nan
>
> My cycled calculations yields this thousands times slowing computations and
> making text output completely non-readable.
>
On Wed, Mar 23, 2011 at 9:29 PM, Ralf Gommers
wrote:
> On Wed, Mar 23, 2011 at 8:32 PM, Pauli Virtanen wrote:
>> On Wed, 23 Mar 2011 14:17:20 -0500, Bruce Southey wrote:
>>> I can not figure out what is different between git and this version :-(
>>>
>>> All the paths appear to be the same.
>>> Fu
On Thu, Mar 24, 2011 at 10:52 AM, eat wrote:
> Hi
>
> On Thu, Mar 24, 2011 at 4:17 PM, Skipper Seabold
>> Also, as Robert pointed out to me before np.errstate is a
>> context-manager for ignoring these warnings. I often wrap optimization
>> code with it.
>
> I didn't realize that its context-man
Hi
On Thu, Mar 24, 2011 at 4:17 PM, Skipper Seabold wrote:
> On Thu, Mar 24, 2011 at 9:45 AM, Ralf Gommers
> wrote:
> > 2011/3/24 Dmitrey :
> >>
> >> Hi
> >>
> >> 2011/3/24 Dmitrey
> >>>
> >>> >>> from numpy import inf, array
> >>> >>> inf*0
> >>> nan
> >>>
> >>> (ok)
> >>>
> >>> >>> array(inf)
On Thu, Mar 24, 2011 at 9:45 AM, Ralf Gommers
wrote:
> 2011/3/24 Dmitrey :
>>
>> Hi
>>
>> 2011/3/24 Dmitrey
>>>
>>> >>> from numpy import inf, array
>>> >>> inf*0
>>> nan
>>>
>>> (ok)
>>>
>>> >>> array(inf) * 0.0
>>> StdErr: Warning: invalid value encountered in multiply
>>> nan
>>>
>>> My cycled
2011/3/24 Dmitrey <
tm...@ukr.net >:
> hi,
> is there any way to get argmin and argmax of an array w/o nans?
> Currently I have
from numpy import *
argmax([10,nan,100])
> 1
argmin([10,nan,100])
> 1
> But it's not the va
On Thu, Mar 24, 2011 at 6:19 AM, Ralf Gommers
wrote:
> 2011/3/24 Dmitrey :
>> hi,
>> is there any way to get argmin and argmax of an array w/o nans?
>> Currently I have
> from numpy import *
> argmax([10,nan,100])
>> 1
> argmin([10,nan,100])
>> 1
>> But it's not the values I would like
2011/3/24 Dmitrey :
>
> Hi
>
> 2011/3/24 Dmitrey
>>
>> >>> from numpy import inf, array
>> >>> inf*0
>> nan
>>
>> (ok)
>>
>> >>> array(inf) * 0.0
>> StdErr: Warning: invalid value encountered in multiply
>> nan
>>
>> My cycled calculations yields this thousands times slowing computations
>> and ma
> In a numpy array of m x n size, I would like to delete few rows when
> a given element in that row is ‘nan’ or say any other value.
>
>
> For e.g. as in example given below, if I wish to delete a row when
> the 3rd element of row is zero, or if 3rd, 4th, 5th element are zero
> or either o
On Thu, Mar 24, 2011 at 12:38 PM, Sebastian Haase wrote:
> Hi,
> I got an "Internal Error" message when trying to log into the Trac page.
That happens a lot, the solution is just to retry.
> My comment:
> Could there at least be a note added to the current memmap doc string,
> stating that there
> Thanks for all those instructions, however, personally I don't need them, I
> have sucseeded with my own manipulations and even if I wouldn't I always can
> build numpy/scipy from sources.
> I mere care for quality and easibility of numpy installation for ordinary
> non-skilled users. They may ju
2011/3/24 Dmitrey :
> hi,
> is there any way to get argmin and argmax of an array w/o nans?
> Currently I have
from numpy import *
argmax([10,nan,100])
> 1
argmin([10,nan,100])
> 1
> But it's not the values I would like to get.
>
> The walkaround I use: get all indeces of nans, repla
hi,
is there any way to get argmin and argmax of an array w/o nans?
Currently I have
>>> from numpy import *
>>> argmax([10,nan,100])
1
>>> argmin([10,nan,100])
1
But it's not the values I would like to get.
The walkaround I use: get all indeces of nans, replace them by
Hi,
I got an "Internal Error" message when trying to log into the Trac page.
My comment:
Could there at least be a note added to the current memmap doc string,
stating that there is a problem with the current doc; also a link to
http://projects.scipy.org/numpy/ticket/97
would be much better than no
Isnt [K]Ubuntu updated each 6 month?
2011/3/24 Dmitrey <
tm...@ukr.net >:
> hi,
> when numpy in Linux apt will be updated? It's still 1.3.0 with many bugs
There will always be bugs, but numpy 1.3 is a stable release, unless
there is a b
Hi
2011/3/24 Dmitrey
>>> from numpy import inf, array
>>> inf*0
nan
(ok)
>>> array(inf) * 0.0
StdErr: Warning: invalid value encountered in multiply
nan
My cycled calculations yields this thousands times slowing
computat
Hi
2011/3/24 Dmitrey
> >>> from numpy import inf, array
> >>> inf*0
> nan
>
> (ok)
>
> >>> array(inf) * 0.0
> StdErr: Warning: invalid value encountered in multiply
> nan
>
> My cycled calculations yields this thousands times slowing computations and
> making text output completely non-readable
Isnt [K]Ubuntu updated each 6 month?
2011/3/24 Dmitrey :
> hi,
> when numpy in Linux apt will be updated? It's still 1.3.0 with many bugs
There will always be bugs, but numpy 1.3 is a stable release, unless
there is a bug that affects what your doing right now?
If you find a bug that prevents y
>>> from numpy import inf, array
>>> inf*0
nan
(ok)
>>> array(inf) * 0.0
StdErr: Warning: invalid value encountered in multiply
nan
My cycled calculations yields this thousands times slowing
computations and making text output completely non-readable.
>>> from numpy
hi,
when numpy in Linux apt will be updated? It's still 1.3.0 with many
bugs
I tried to install numpy from PYPI where 1.5.1 seesm to be present,
but somehow it involves 1.3.0 instead:
$ sudo easy_install numpy
install_dir /usr/local/lib/python2.6/dist-packages/
Searching for
On Thu, Mar 24, 2011 at 1:12 PM, Sachin Kumar Sharma wrote:
> BB,
>
>
>
> In a numpy array of m x n size, I would like to delete few rows when a
> given element in that row is ‘nan’ or say any other value.
>
>
>
> For e.g. as in example given below, if I wish to delete a row when the 3
> rd elem
On Thu, Mar 24, 2011 at 10:11 AM, Pearu Peterson
wrote:
>
> Regarding this test failure, could you hack the
> numpy/f2py/tests/test_kind.py script by adding the following code
>
> for i in range(20):
> print '%s -> %s, %s' % (i, selected_real_kind(i), selectedrealkind(i))
>
> and send me the out
On Thu, Mar 24, 2011 at 2:04 AM, Derek Homeier <
de...@astro.physik.uni-goettingen.de> wrote:
> On 24 Mar 2011, at 00:34, Derek Homeier wrote:
>
> > tests with the fink-installed pythons on MacOS X mostly succeeded,
> > with one failure in python2.4 and a couple of issues seemingly
> > related to
Paul,
Appreciate your reply.
Cheers
Sachin
Sachin Kumar Sharma
Senior Geomodeler
-Original Message-
From: numpy-discussion-boun...@scipy.org
[mailto:numpy-discussion-boun...@scipy.org] On Behalf Of Paul Anton Le
One way is to use python dicts. Pseudocode:
arrays = {}
integer = 0
for file in allfiles:
integer +=1
data = file.read()
arrays['a' + '%d' % integer] = data
I would consider using the filename as the key instead of a1, a2, etc. That way
you have that information readily a
BB,
In a numpy array of m x n size, I would like to delete few rows when a given
element in that row is 'nan' or say any other value.
For e.g. as in example given below, if I wish to delete a row when the 3rd
element of row is zero, or if 3rd, 4th, 5th element are zero or either of 3rd,
4th a
BB,
Currently I am reading a text file and storing the output as an array a1, some
arithmetic operation on it and plotting it. I want to do the same over 1000
files.
How to loop it and how to store the input in different arrays like a2, a3 and
so on.
Also advise what is the best way to TAG or
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