On Wed, 2013-09-04 at 22:08 -0700, Christoph Gohlke wrote:
On 9/1/2013 9:54 AM, Charles R Harris wrote:
snip
Hello,
is this IndexError intentional in numpy 1.8? Matplotlib 1.3 fails some
tests because of this.
numpy.zeros(1)[[0], :]
Traceback (most recent call last):
File
Hi Robert,
Thanks for proposing an alternative implementation approach.
However, did you test your proposal before you made the assertion about its
behaviour?
reduce(np.logical_or, inputs, False)
reduce(np.logical_and, inputs, True)
This code consistently benchmarks 20% slower than the
Hi Julian,
Thanks for the post. It's great to hear that the main numpy function is
improving in 1.8, though I think there is still plenty of value here for
performance junkies :-)
I don't have 1.8beta installed (and I can't conveniently install it on my
machines just now). If you have
Hi Stéfan,
I ran into a problem:
min_typecode( (18446744073709551615L,) ) # ok
type 'numpy.uint64'
min_typecode( (0, 18446744073709551615L,) ) # ?
Traceback (most recent call last):
...
ValueError: Can only handle integer arrays.
It seems that np.asarray converts the input sequence into a
Thanks experts!
Thanks Robert Kern!
Two more questions about it:
1. networkx.has_path(G, first_stick, second_stick) stop when find second_stick
or compute all the sub-graph and then evaluate if first_stick and second_stick
are connected?
2. Using networkx or other tool: how can I obtain the
Just want to make sure this post had been noted:
Neal Becker wrote:
Built on fedora linux 19 x86_64 using mkl:
build OK using:
env ATLAS=/usr/lib64 FFTW=/usr/lib64 BLAS=/usr/lib64 LAPACK=/usr/lib64
CFLAGS=-mtune=native -march=native -O3 LDFLAGS=-Wl,-
rpath=/opt/intel/mkl/lib/intel64
Hello,
I downloaded skimage 0.9.0dev version and installed like following on Windows;
cd C:\skimage\python setup.py install.
One error occurred: Unable to find vcvarsall.bat . It is not the first time I
have been taken such an error.
What is the best way to avoid this problem???
Any answers
Hi,
thanks for the information. It is very useful to know that the c code could
call back to python.
Fred
On Wed, Sep 4, 2013 at 2:14 PM, Nathaniel Smith n...@pobox.com wrote:
There do exist numpy c functions that call .py file routines. I don't know
how likely you are to find them in
On 5 September 2013 13:14, Josè Luis Mietta joseluismie...@yahoo.com.arwrote:
2. Using networkx or other tool: how can I obtain the 'clusters size'
distribution (that is: number of clusters of size 'D', for all
cluster-sizes)?
This is best asked in their mailing list. A possible way is:
On Thu, 05 Sep 2013 17:35:16 +0400
Happyman bahtiyor_zohi...@mail.ru wrote:
Hello,
I downloaded skimage 0.9.0dev version and installed like following on Windows;
cd C:\skimage\python setup.py install.
One error occurred: Unable to find vcvarsall.bat . It is not the first time I
have
Yeap I have installed visual studio, but I am a bit far away from installation
and dealing vs such problems.. :))
My computer is Win64. I woulb be grateful if you could give me the steps of
installation with some comments for Win64
thanks
Четверг, 5 сентября 2013, 16:10 +02:00 от Jerome
On 5 September 2013 17:03, Josè Luis Mietta joseluismie...@yahoo.com.arwrote:
The array ([ 0, 39, 7, 3, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0,
0, 0, 0, 0, 1]) means that in the sistem (graph) are : 4 cluster of
size 1, one cluster of size 3, one cluster of size 7 and one cluste of
I haven't tried to compile skimage, but the easiest way to get set up for
compilation with Windows and MSVC is to follow the instructions in the
Cython wiki. It is routinely spammed, so here's a link to the last
non-corrupt version as of right now:
On 9/5/2013 1:18 AM, Sebastian Berg wrote:
On Wed, 2013-09-04 at 22:08 -0700, Christoph Gohlke wrote:
On 9/1/2013 9:54 AM, Charles R Harris wrote:
snip
Hello,
is this IndexError intentional in numpy 1.8? Matplotlib 1.3 fails some
tests because of this.
numpy.zeros(1)[[0], :]
Traceback
This is good stuff, but I can't help thinking that if I needed to do an
any/all test on a number of arrays with common and/or combos --
I'd probably write a Cython function to do it.
It could be a bit tricky to make it really general, but not bad for a
couple specific dtypes / use cases.
-just a
Hi,
We have a pull request pending at the h5py project to use the dtype
metadata attribute to implement special type support, as opposed to
the current hacked-together solution based on field names:
dt = dtype('i', metadata={key: 42})
dt.metadata
dictproxy {'key': 42}
However, I can't find
Hi experts!
The array ([ 0, 39, 7, 3, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,
0, 0, 1]) means that in the sistem (graph) are : 4 cluster of size 1, one
cluster of size 3, one cluster of size 7 and one cluste of size 39?
What does means 'zero' (13 times) in the array?
Thans a
On Thu, Sep 5, 2013 at 2:11 PM, Fernando Perez fperez@gmail.com wrote:
Hi all,
I just ran into this rather weird behavior:
http://nbviewer.ipython.org/6453869
In summary, as far as I can tell, shuffle is misbehaving when acting
on arrays that have structured dtypes. I've seen the
Looks like a bug. FWIW, NumPy 1.6.1 on Scientific Linux 6.4 does not
suffer from this malady.
-Brad
$ python
Python 2.6.6 (r266:84292, Feb 21 2013, 19:26:11)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-3)] on linux2
Type help, copyright, credits or license for more information.
import sys
import numpy
On 09/05/2013 01:29 PM, Warren Weckesser wrote:
On Thu, Sep 5, 2013 at 2:11 PM, Fernando Perez fperez@gmail.com
mailto:fperez@gmail.com wrote:
Hi all,
I just ran into this rather weird behavior:
http://nbviewer.ipython.org/6453869
In summary, as far as I can tell,
On Thu, Sep 5, 2013 at 5:34 AM, Neal Becker ndbeck...@gmail.com wrote:
Just want to make sure this post had been noted:
Neal Becker wrote:
Built on fedora linux 19 x86_64 using mkl:
build OK using:
env ATLAS=/usr/lib64 FFTW=/usr/lib64 BLAS=/usr/lib64
LAPACK=/usr/lib64
On Thu, Sep 5, 2013 at 12:50 PM, Fernando Perez fperez@gmail.comwrote:
On Thu, Sep 5, 2013 at 11:43 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
Oh, nice one ;) Should be fixable if you want to submit a patch.
Strategy? One option is to do, for structured arrays, a shuffle of
On 09/05/2013 01:50 PM, Fernando Perez wrote:
On Thu, Sep 5, 2013 at 11:43 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
Oh, nice one ;) Should be fixable if you want to submit a patch.
Strategy? One option is to do, for structured arrays, a shuffle of the
indices and then an
I put this test case through `git bisect run` and here's what came
back. I haven't confirmed this manually yet, but the blamed commit
does seem reasonable:
b26c675e2a91e1042f8f8d634763942c87fbbb6e is the first bad commit
commit b26c675e2a91e1042f8f8d634763942c87fbbb6e
Author: Nathaniel J. Smith
On Thu, Sep 5, 2013 at 1:34 PM, Bradley M. Froehle
brad.froe...@gmail.comwrote:
I put this test case through `git bisect run` and here's what came
back. I haven't confirmed this manually yet, but the blamed commit
does seem reasonable:
b26c675e2a91e1042f8f8d634763942c87fbbb6e is the first
Hi all,
I just ran into this rather weird behavior:
http://nbviewer.ipython.org/6453869
In summary, as far as I can tell, shuffle is misbehaving when acting
on arrays that have structured dtypes. I've seen the problem on 1.7.1
(official on ubuntu 13.04) as well as master as of a few minutes
On Thu, Sep 5, 2013 at 9:06 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
This behavior is not new, it is also present in 1.6.x
In [1]: x = np.zeros(5, dtype=[('n', 'S1'), ('s', 'S1')])
In [2]: x['s'] = [c for c in 'abcde']
In [3]: x
Out[3]:
array([('', 'a'), ('', 'b'), ('', 'c'),
On Thu, Sep 5, 2013 at 1:45 PM, Charles R Harris
charlesr.har...@gmail.comwrote:
On Thu, Sep 5, 2013 at 1:34 PM, Bradley M. Froehle brad.froe...@gmail.com
wrote:
I put this test case through `git bisect run` and here's what came
back. I haven't confirmed this manually yet, but the
On Thu, Sep 5, 2013 at 2:27 PM, Nathaniel Smith n...@pobox.com wrote:
On Thu, Sep 5, 2013 at 9:06 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
This behavior is not new, it is also present in 1.6.x
In [1]: x = np.zeros(5, dtype=[('n', 'S1'), ('s', 'S1')])
In [2]: x['s'] = [c
Hi experts!
How can I create a networkx graph from the adjacency matrix M?
Thanks a lot,
José Luis
De: Daπid davidmen...@gmail.com
Para: Discussion of Numerical Python numpy-discussion@scipy.org
Enviado: jueves, 5 de septiembre de 2013 12:56
Asunto: Re:
In [4]: x[0], x[1] = x[1], x[0]
Is this ever predictable?
sounds to me like the inplace question a few days ago
result depends on the underlying iterator
a = np.arange(5*3).reshape((5,3), order='F')
a
array([[ 0, 5, 10],
[ 1, 6, 11],
[ 2, 7, 12],
[ 3, 8, 13],
On Thu, Sep 5, 2013 at 11:43 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
Oh, nice one ;) Should be fixable if you want to submit a patch.
Strategy? One option is to do, for structured arrays, a shuffle of the
indices and then an in-place
arr = arr[shuffled_indices]
But there may be
On Thu, Sep 5, 2013 at 12:35 PM, Jonathan Helmus jjhel...@gmail.com wrote:
On 09/05/2013 01:29 PM, Warren Weckesser wrote:
On Thu, Sep 5, 2013 at 2:11 PM, Fernando Perez fperez@gmail.comwrote:
Hi all,
I just ran into this rather weird behavior:
http://nbviewer.ipython.org/6453869
hi,
its not np.any that is slow in this case its np.array([A, B, C])
np.dstack([A, B, C]) is better but writing it like this has the same
performance as your code:
a = empty([3] list(A.shape)
a[0] = A5; a[1] = B2; a[2] = A10;
np.any(a, 0)
I'll check if creating an array from a sequence can be
Thanks so much!!
Best regards,
José Luis
De: Daπid davidmen...@gmail.com
Para: Discussion of Numerical Python numpy-discussion@scipy.org
Enviado: jueves, 5 de septiembre de 2013 12:56
Asunto: Re: [Numpy-discussion] Stick intersection path algorithm
On 5
On Thu, Sep 5, 2013 at 12:35 PM, Jonathan Helmus jjhel...@gmail.com wrote:
On 09/05/2013 01:29 PM, Warren Weckesser wrote:
On Thu, Sep 5, 2013 at 2:11 PM, Fernando Perez fperez@gmail.comwrote:
Hi all,
I just ran into this rather weird behavior:
http://nbviewer.ipython.org/6453869
Hi all,
I am seeing some very weird behavior on a gufunc I coded.
It has a pretty complicated signature:
'(r,c,p),(i,j,k,n),(u,v),(d),(n,q)-(q,r,c)'
And a single registered loop function, for types:
uint8, uint16, uint16, uintp, uint8-uint8.
In general it performs beautifully well, returning
On Thu, Sep 5, 2013 at 3:40 PM, josef.p...@gmail.com wrote:
In [4]: x[0], x[1] = x[1], x[0]
Is this ever predictable?
sounds to me like the inplace question a few days ago
result depends on the underlying iterator
a = np.arange(5*3).reshape((5,3), order='F')
a
array([[ 0, 5, 10],
On Thu, Sep 5, 2013 at 9:33 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Sep 5, 2013 at 3:40 PM, josef.p...@gmail.com wrote:
In [4]: x[0], x[1] = x[1], x[0]
Is this ever predictable?
sounds to me like the inplace question a few days ago
result depends on the
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