On Sat, Nov 12, 2011 at 6:43 AM, josef.p...@gmail.com wrote:
On Sat, Nov 12, 2011 at 3:36 AM, Geoffrey Zhu zyzhu2...@gmail.com wrote:
Hi,
I am playing with multiple ways to speed up the following expression
(it is in the inner loop):
C[1:(M - 1)]=(a * C[2:] + b * C[1:(M-1)] + c *
On Sat, Nov 12, 2011 at 9:59 AM, josef.p...@gmail.com wrote:
On Sat, Nov 12, 2011 at 10:31 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Sat, Nov 12, 2011 at 6:43 AM, josef.p...@gmail.com wrote:
On Sat, Nov 12, 2011 at 3:36 AM, Geoffrey Zhu zyzhu2...@gmail.com
wrote
On Sat, Nov 12, 2011 at 11:16 AM, josef.p...@gmail.com wrote:
On Sat, Nov 12, 2011 at 11:32 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Sat, Nov 12, 2011 at 9:59 AM, josef.p...@gmail.com wrote:
On Sat, Nov 12, 2011 at 10:31 AM, Warren Weckesser
warren.weckes
On Tue, Nov 15, 2011 at 10:48 AM, Andreas Müller
amuel...@ais.uni-bonn.dewrote:
**
On 11/15/2011 05:46 PM, Andreas Müller wrote:
On 11/15/2011 04:28 PM, Bruce Southey wrote:
On 11/14/2011 10:05 AM, Andreas Müller wrote:
On 11/14/2011 04:23 PM, David Cournapeau wrote:
On Mon, Nov 14,
On Fri, Nov 18, 2011 at 10:40 AM, Chao YUE chaoyue...@gmail.com wrote:
Thanks to all people for this very nice discussions.
the solutions are more that what I want!! and help me to clarify some
concepts, and really begin to use class as a beginner :)
FYI: Just a day or so ago, I stumbled
On Sat, Dec 3, 2011 at 12:35 AM, Robin Kraft rkra...@gmail.com wrote:
I need to take an array - derived from raster GIS data - and upsample or
scale it. That is, I need to repeat each value in each dimension so that,
for example, a 2x2 array becomes a 4x4 array as follows:
[[1, 2],
[3, 4]]
In numpy 1.6.1, what's the most straightforward way to convert a datetime64
to a python datetime.datetime? E.g. I have
In [1]: d = datetime64(2011-12-03 12:34:56.75)
In [2]: d
Out[2]: 2011-12-03 12:34:56.75
I want the same time as a datetime.datetime instance. My best hack so far
is to
On Sun, Dec 4, 2011 at 5:30 AM, Didrik Pinte dpi...@enthought.com wrote:
On Sun, Dec 4, 2011 at 6:11 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
In numpy 1.6.1, what's the most straightforward way to convert a
datetime64
to a python datetime.datetime? E.g. I have
In [1
On Mon, Dec 12, 2011 at 10:22 AM, Chris.Barker chris.bar...@noaa.govwrote:
On 12/11/11 8:40 AM, Ralf Gommers wrote:
On Wed, Dec 7, 2011 at 7:50 PM, Chris.Barker chris.bar...@noaa.gov
* If we have a good, fast ascii (or unicode?) to array reader,
hopefully
it could be leveraged for
On Tue, Dec 13, 2011 at 4:11 PM, Ken Basye kbas...@jhu.edu wrote:
Hi folks,
I need an efficient way to get both the min and argmin of a 2-d
array along one axis. It seemed to me that the way to do this was to
get the argmin and then use it to index into the array to get the min,
but I
In the following code, numpy.sin() calls the object's sin() function:
In [2]: class Foo(object):
...: def sin(self):
...: return spam
...:
In [3]: f = Foo()
In [4]: np.sin(f)
Out[4]: 'spam'
Is this, in fact, guaranteed behavior for a ufunc? It does not appear to
be
On Tue, Jan 31, 2012 at 4:22 PM, Robert Kern robert.k...@gmail.com wrote:
On Tue, Jan 31, 2012 at 22:17, Travis Oliphant tra...@continuum.io
wrote:
I also agree that an exception should be raised at the very least.
It might also be possible to make the NumPy any, all, and sum functions
Bump...
On Mon, Jan 30, 2012 at 1:17 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
In the following code, numpy.sin() calls the object's sin() function:
In [2]: class Foo(object):
...: def sin(self):
...: return spam
...:
In [3]: f = Foo()
In [4
On Sat, Feb 4, 2012 at 2:35 PM, Benjamin Root ben.r...@ou.edu wrote:
On Saturday, February 4, 2012, Naresh Pai n...@uark.edu wrote:
I am somewhat new to Python (been coding with Matlab mostly). I am
trying to
simplify (and expedite) a piece of code that is currently a bottleneck
in a
On Sun, Feb 5, 2012 at 12:06 PM, josef.p...@gmail.com wrote:
On Sun, Feb 5, 2012 at 12:52 PM, Paolo p.zaff...@yahoo.it wrote:
How I can do this?
I'm not sure without trying, numpy.loadtxt might be the easier choice
matrix=.join((i.strip() for i in f.readlines()))
I think strip()
On Mon, Feb 6, 2012 at 2:57 PM, Sturla Molden stu...@molden.no wrote:
Short answer: Create 16 view arrays, each with a stride of 4 in both
dimensions. Test them against the conditions and combine the tests with an
|= operator. Thus you replace the nested loop with one that has only 16
On Tue, Feb 14, 2012 at 12:25 PM, Travis Oliphant tra...@continuum.iowrote:
snip
There is a mailing list for numfocus that you can sign up for if you would
like to be part of those discussions. Let me know if you would like more
information about that.
I would like more information
On Wed, Feb 15, 2012 at 2:25 AM, Steve Schmerler
elcort...@googlemail.comwrote:
Hi
I'd like to repeat an array along a new axis (like broadcast):
In [8]: a
Out[8]:
array([[0, 1, 2],
[3, 4, 5]])
In [9]: b=repeat(a[None,...], 3, axis=0)
In [10]: b
Out[10]:
On Thu, Feb 16, 2012 at 10:12 AM, Pierre Haessig
pierre.haes...@crans.orgwrote:
Le 16/02/2012 16:20, josef.p...@gmail.com a écrit :
I don't see any way to fix multivariate_normal for this case, except
for dropping svd or for random perturbing a covariance matrix with
multiplicity of
On Thu, Feb 23, 2012 at 2:08 PM, Travis Oliphant tra...@continuum.iowrote:
This is actually on my short-list as well --- it just didn't make it to
the list.
In fact, we have someone starting work on it this week. It is his first
project so it will take him a little time to get up to speed
On Thu, Feb 23, 2012 at 2:19 PM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Thu, Feb 23, 2012 at 2:08 PM, Travis Oliphant tra...@continuum.iowrote:
This is actually on my short-list as well --- it just didn't make it to
the list.
In fact, we have someone starting work
On Sun, Feb 26, 2012 at 1:00 PM, Nathaniel Smith n...@pobox.com wrote:
On Sun, Feb 26, 2012 at 5:23 PM, Warren Weckesser
warren.weckes...@enthought.com wrote:
I haven't pushed it to the extreme, but the big example (in the
examples/
directory) is a 1 gig text file with 2 million rows
On Sun, Feb 26, 2012 at 1:49 PM, Nathaniel Smith n...@pobox.com wrote:
On Sun, Feb 26, 2012 at 7:16 PM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Sun, Feb 26, 2012 at 1:00 PM, Nathaniel Smith n...@pobox.com wrote:
For this kind of benchmarking, you'd really rather
On Sun, Feb 26, 2012 at 3:00 PM, Nathaniel Smith n...@pobox.com wrote:
On Sun, Feb 26, 2012 at 7:58 PM, Warren Weckesser
warren.weckes...@enthought.com wrote:
Right, I got that. Sorry if the placement of the notes about how to
clear
the cache seemed to imply otherwise.
OK, cool, np
On Thu, Mar 1, 2012 at 8:43 AM, Zayd YAKOUBI zayd.yako...@gmail.com wrote:
Hello,
I use the similarity measure Jaccard and Hamming of pckage
Scipy.spacial.cdist (Python) in a clustering context, I applied to given
typs of real and integer (0.6 0.2 1.7 May 8 ). They gave good results. But I
On Tue, Mar 6, 2012 at 4:45 PM, Chris Barker chris.bar...@noaa.gov wrote:
On Thu, Mar 1, 2012 at 10:58 PM, Jay Bourque jayv...@gmail.com wrote:
1. Loading text files using loadtxt/genfromtxt need a significant
performance boost (I think at least an order of magnitude increase in
On Fri, Mar 9, 2012 at 7:26 AM, Nicola Creati ncre...@inogs.it wrote:
Hello,
I'm writing a library able to read LAS lidar files. I generally use it
under Linux without any problems. I'm now testing my library on a Windows 7
64 bit computer and I meet some problems reading the file. I
On Thu, Mar 15, 2012 at 11:41 PM, Val Kalatsky kalat...@gmail.com wrote:
I does look like a joke.
Here is print np.finfo(np.longdouble)
In [2]: np.__version__
Out[2]: '1.6.1'
In [3]: np.flo
np.floatnp.float32 np.float_ np.floor
np.float16 np.float64
On Tue, Mar 20, 2012 at 5:59 PM, Chris Barker chris.bar...@noaa.gov wrote:
Warren et al:
On Wed, Mar 7, 2012 at 7:49 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
If you are setup with Cython to build extension modules,
I am
and you don't mind
testing an unreleased
SciPy 2012, the eleventh annual Conference on Scientific Computing with
Python, will be held July 16–21, 2012, in Austin, Texas.
At this conference, novel scientific applications and libraries related to
data acquisition, analysis, dissemination and visualization using Python
are presented.
On Wed, Apr 11, 2012 at 4:28 AM, Mads Ipsen madsip...@gmail.com wrote:
Hi,
Suppose a have an array of indices, say
indices = [0,1,2,3,5,7,8,9,10,12,13,14]
Then the following slices
a = slice(0,4)
b = slice(4,5)
c = slice(5,9)
d = slice(9,12)
provide information about all
, Warren Weckesser
warren.weckes...@enthought.com wrote:
SciPy 2012, the eleventh annual Conference on Scientific Computing with
Python, will be held July 16–21, 2012, in Austin, Texas.
At this conference, novel scientific applications and libraries related to
data acquisition, analysis
SciPy 2012 Conference Deadlines Extended
Didn't quite finish your abstract or tutorial yet? Good news: the SciPy
2012 organizers have extended the deadline until Friday, May 4. Proposals
for tutorials and abstracts for talks and posters are now due by midnight
(Austin time, CDT), May 4.
For
On Fri, Jun 8, 2012 at 7:45 PM, Frédéric Bastien no...@nouiz.org wrote:
Hi,
While reviewing the Theano op that wrap numpy.fill_diagonal, we found
an unexpected behavior of it:
# as expected for square matrix
a=numpy.zeros((5,5))
numpy.fill_diagonal(a, 10)
print a
# as expected long
On Wed, Jun 27, 2012 at 4:38 PM, x.pi...@gmail.com wrote:
Hi list.
I have got completely cunfused with the numpy.dot() function.
dot(A,B) does:
- matrix multiplication if A and B are of MxN and NxK sizey
- dot product if A and B are of size M
How how can I perform matrix multiplication of
On Thu, Jul 19, 2012 at 5:52 AM, Cheng Li scrappedprince...@gmail.comwrote:
Hi All,
** **
I have spot a strange behavior of numpy.fromfunction(). The sample codes
are as follows:
import numpy as np
def myOnes(i,j):
return 1.0
a =
On Sat, Sep 8, 2012 at 4:56 PM, nicky van foreest vanfore...@gmail.comwrote:
Hi,
I ran the following code:
args = np.array([4,8])
print np.sum( (arg 0) for arg in args)
print np.sum([(arg 0) for arg in args])
print np.prod( (arg 0) for arg in args)
On Thu, Sep 13, 2012 at 9:01 AM, Travis Oliphant tra...@continuum.iowrote:
On Sep 13, 2012, at 8:40 AM, Nathaniel Smith wrote:
On Thu, Sep 13, 2012 at 11:12 AM, Matthew Brett matthew.br...@gmail.com
wrote:
Hi,
While writing some tests for np.concatenate, I ran foul of this code:
On Sat, Oct 6, 2012 at 12:17 PM, Ralf Gommers ralf.gomm...@gmail.comwrote:
On Fri, Oct 5, 2012 at 5:17 PM, Dan Goodman dg.gm...@thesamovar.netwrote:
Hi,
numpy.set_printoptions(precision=...) doesn't affect single floats, even
if they are numpy floats rather than Python floats. Is this a
On Mon, Oct 22, 2012 at 10:56 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Oct 22, 2012 at 9:44 AM, Jason Grout
jason-s...@creativetrax.comwrote:
I'm curious why scipy/numpy defaults to calculating the Frobenius norm
for matrices [1], when Matlab, Octave, and Mathematica
On Tue, Nov 6, 2012 at 8:27 PM, Phillip Feldman phillip.m.feld...@gmail.com
wrote:
numpy.unique behaves as I would expect for small inputs like the following:
In [12]: x= [0, 0, 1, 0, 1, 2, 0, 1, 2, 3]
In [13]: unique(x, return_index=True)
Out[13]: (array([0, 1, 2, 3]), array([0, 2, 5, 9],
On Wed, Nov 7, 2012 at 11:24 AM, josef.p...@gmail.com wrote:
On Tue, Nov 6, 2012 at 9:52 PM, Warren Weckesser
warren.weckes...@gmail.com wrote:
On Tue, Nov 6, 2012 at 8:27 PM, Phillip Feldman
phillip.m.feld...@gmail.com wrote:
numpy.unique behaves as I would expect for small inputs
On Sun, Nov 25, 2012 at 8:24 PM, Tom Bennett tom.benn...@mail.zyzhu.netwrote:
Hi,
I am trying to extract n columns from an 2D array and then operate on the
extracted columns. Below is the code:
A is an MxN 2D array.
u = A[:,:n] #extract the first n columns from A
B = np.dot(u, u.T)
On 3/1/13, Henry Gomersall h...@cantab.net wrote:
On Fri, 2013-03-01 at 13:34 +, Nathaniel Smith wrote:
My usual hack to deal with the numerical bounds issue is to
add/subtract
half the step.
Right. Which is exactly the sort of annoying, content-free code that a
library is supposed to
On 3/10/13, QT rdirect...@gmail.com wrote:
Dear all,
I'm at my wits end. I've followed Intel's own
instructionshttp://software.intel.com/en-us/articles/numpyscipy-with-intel-mklon
how to compile Numpy with Intel MKL. Everything compiled and linked
fine and I've installed it locally in my
On 3/10/13, Warren Weckesser warren.weckes...@gmail.com wrote:
On 3/10/13, QT rdirect...@gmail.com wrote:
Dear all,
I'm at my wits end. I've followed Intel's own
instructionshttp://software.intel.com/en-us/articles/numpyscipy-with-intel-mklon
how to compile Numpy with Intel MKL. Everything
Hi all,
In a recent scipy pull request (https://github.com/scipy/scipy/pull/459), I
ran into the problem of ufuncs automatically generating a signature in the
docstring using arguments such as 'x' or 'x1, x2'. scipy.special has a lot
of ufuncs, and for most of them, there are much more
On Fri, Mar 15, 2013 at 4:39 PM, Nathaniel Smith n...@pobox.com wrote:
On Fri, Mar 15, 2013 at 6:47 PM, Warren Weckesser
warren.weckes...@gmail.com wrote:
Hi all,
In a recent scipy pull request (https://github.com/scipy/scipy/pull/459),
I
ran into the problem of ufuncs automatically
On 4/3/13, Benjamin Root ben.r...@ou.edu wrote:
On Wed, Apr 3, 2013 at 7:52 PM, Chris Barker - NOAA Federal
chris.bar...@noaa.gov wrote:
Personally, I never need finer resolution than seconds, nor more than
a century, so it's no big deal to me, but just wondering
A use case for finer
On 4/29/13, josef.p...@gmail.com josef.p...@gmail.com wrote:
Is there a available function to convert an int to binary
representation as sequence of 0 and 1?
binary_repr produces strings and is not vectorized
np.binary_repr(5)
'101'
np.binary_repr(5, width=4)
'0101'
On Wed, May 1, 2013 at 10:14 AM, Daπid davidmen...@gmail.com wrote:
On 1 May 2013 03:36, Benjamin Root ben.r...@ou.edu wrote:
Are there any other functions that others feel are missing from numpy
and
would like to see for v1.8? Let's discuss them here.
I would like to have sincos, to
On 5/4/13, Bakhtiyor Zokhidov bakhtiyor_zokhi...@mail.ru wrote:
Hi,
I have the following code which represents intersected point of each cell in
the given two points, A(x0,y0) and B(x1,y1).
def intersected_points(x0, x1, y0, y1):
# slope
m = (y1 - y0 )/( x1 - x0)
# Boundary of the
On 5/24/13, Emanuele Olivetti emanu...@relativita.com wrote:
Interesting. Anyone able to reproduce what I observe?
Yes. I'm also using Ubuntu 12.04. With numpy 1.6.1, I get the same
error, but it works fine with numpy 1.7.1.
Warren
Emanuele
On 05/24/2013 02:09 PM, Nicolas Rougier
On 5/24/13, Peter Cock p.j.a.c...@googlemail.com wrote:
On Fri, May 24, 2013 at 2:15 PM, Robert Kern robert.k...@gmail.com wrote:
On Fri, May 24, 2013 at 9:12 AM, Peter Cock p.j.a.c...@googlemail.com
wrote:
On Fri, May 24, 2013 at 1:59 PM, Emanuele Olivetti
emanu...@relativita.com wrote:
On 5/24/13, Peter Cock p.j.a.c...@googlemail.com wrote:
On Fri, May 24, 2013 at 2:47 PM, Warren Weckesser
warren.weckes...@gmail.com wrote:
Peter wrote:
---
Successes
---
64 bit Linux:
$ python2.6
Python
On 5/24/13, Peter Cock p.j.a.c...@googlemail.com wrote:
On Fri, May 24, 2013 at 3:02 PM, Warren Weckesser
warren.weckes...@gmail.com wrote:
On 5/24/13, Peter Cock p.j.a.c...@googlemail.com wrote:
Warren wrote:
Two more data points:
On Ubuntu 12.04, using 64 bit builds of Python 2.7.4 (from
I'm getting a failure and two errors with the latest master branch:
$ python -c import numpy; numpy.test('full')
Running unit tests for numpy
NumPy version 1.8.0.dev-dff8c94
NumPy is installed in
/home/warren/local_numpy/lib/python2.7/site-packages/numpy
Python version 2.7.4 |Anaconda 1.5.0
On Sat, Jun 1, 2013 at 7:47 PM, Charles R Harris
charlesr.har...@gmail.comwrote:
On Sat, Jun 1, 2013 at 4:50 PM, Warren Weckesser
warren.weckes...@gmail.com wrote:
I'm getting a failure and two errors with the latest master branch:
$ python -c import numpy; numpy.test('full')
Running
On Sat, Jun 1, 2013 at 7:47 PM, Charles R Harris
charlesr.har...@gmail.comwrote:
On Sat, Jun 1, 2013 at 4:50 PM, Warren Weckesser
warren.weckes...@gmail.com wrote:
I'm getting a failure and two errors with the latest master branch:
$ python -c import numpy; numpy.test('full')
Running
On Sat, Jun 1, 2013 at 8:56 PM, Warren Weckesser warren.weckes...@gmail.com
wrote:
On Sat, Jun 1, 2013 at 7:47 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sat, Jun 1, 2013 at 4:50 PM, Warren Weckesser
warren.weckes...@gmail.com wrote:
I'm getting a failure and two
On Tue, Jun 4, 2013 at 7:52 AM, Warren Weckesser warren.weckes...@gmail.com
wrote:
On Tue, Jun 4, 2013 at 1:20 AM, Tim Burgess tim.burg...@noaa.gov wrote:
On Sat, 2013-06-01 at 20:09 -0400, Warren Weckesser wrote:
I'm using Ubuntu 12.04, so I suspect I won't be the only one who sees
On Wed, Jun 12, 2013 at 10:18 AM, Nathaniel Smith n...@pobox.com wrote:
On Wed, Jun 12, 2013 at 1:28 PM, Matthew Brett matthew.br...@gmail.com
wrote:
On Wed, Jun 12, 2013 at 1:10 PM, Nathaniel Smith n...@pobox.com wrote:
Personally I think that overloading np.empty is horribly ugly, will
On Wed, Jun 12, 2013 at 10:18 AM, Nathaniel Smith n...@pobox.com wrote:
On Wed, Jun 12, 2013 at 1:28 PM, Matthew Brett matthew.br...@gmail.com
wrote:
On Wed, Jun 12, 2013 at 1:10 PM, Nathaniel Smith n...@pobox.com wrote:
Personally I think that overloading np.empty is horribly ugly, will
On Wed, Jun 12, 2013 at 2:00 PM, Nathaniel Smith n...@pobox.com wrote:
On 12 Jun 2013 18:20, Ralf Gommers ralf.gomm...@gmail.com wrote:
On Wed, Jun 12, 2013 at 6:36 PM, Chris Barker - NOAA Federal
chris.bar...@noaa.gov wrote:
On Wed, Jun 12, 2013 at 5:10 AM, Nathaniel Smith
I'm getting a seg. fault in master when I run the tests. I'm on Ubuntu
12.04 64 bit, with Python 3.3.2 (64 bits):
$ python3 -c import numpy as np; np.test('full')
Running unit tests for numpy
NumPy version 1.8.0.dev-fa5bc1c
NumPy is installed in
On Sat, Jun 15, 2013 at 11:43 AM, Warren Weckesser
warren.weckes...@gmail.com wrote:
I'm getting a seg. fault in master when I run the tests. I'm on Ubuntu
12.04 64 bit, with Python 3.3.2 (64 bits):
$ python3 -c import numpy as np; np.test('full')
Running unit tests for numpy
NumPy
On Sat, Jun 15, 2013 at 3:26 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Sat, Jun 15, 2013 at 1:15 PM, Julian Taylor
jtaylor.deb...@googlemail.com wrote:
On 15.06.2013 21:12, Charles R Harris wrote:
On Sat, Jun 15, 2013 at 9:50 AM, Warren Weckesser
warren.weckes
On Sat, Jun 15, 2013 at 3:15 PM, Julian Taylor
jtaylor.deb...@googlemail.com wrote:
On 15.06.2013 21:12, Charles R Harris wrote:
On Sat, Jun 15, 2013 at 9:50 AM, Warren Weckesser
warren.weckes...@gmail.com mailto:warren.weckes...@gmail.com wrote:
On Sat, Jun 15, 2013 at 11:43
On Sat, Jun 15, 2013 at 3:57 PM, Warren Weckesser
warren.weckes...@gmail.com wrote:
On Sat, Jun 15, 2013 at 3:15 PM, Julian Taylor
jtaylor.deb...@googlemail.com wrote:
On 15.06.2013 21:12, Charles R Harris wrote:
On Sat, Jun 15, 2013 at 9:50 AM, Warren Weckesser
warren.weckes
On Sat, Jun 15, 2013 at 4:03 PM, Julian Taylor
jtaylor.deb...@googlemail.com wrote:
On 15.06.2013 21:57, Warren Weckesser wrote:
On Sat, Jun 15, 2013 at 3:15 PM, Julian Taylor
@warren, can you please bisect the commit causing this?
Here's the culprit
With Python 3.3.2 (64 bit), and numpy master:
import numpy as np
np.__version__
'1.8.0.dev-2a5c2c8'
f = np.float64(1.0)
i = 2**65
f*i
Traceback (most recent call last):
File stdin, line 1, in module
TypeError: unsupported operand type(s) for *: 'numpy.float64' and 'int'
Is this the
On Sun, Jun 16, 2013 at 12:56 PM, Warren Weckesser
warren.weckes...@gmail.com wrote:
With Python 3.3.2 (64 bit), and numpy master:
import numpy as np
np.__version__
'1.8.0.dev-2a5c2c8'
f = np.float64(1.0)
i = 2**65
f*i
Traceback (most recent call last):
File stdin, line 1
On Wed, Jul 10, 2013 at 12:03 PM, Andreas Hilboll li...@hilboll.de wrote:
On 10.07.2013 17:06, Matthew Brett wrote:
Hi,
On Wed, Jul 10, 2013 at 11:02 AM, Andreas Hilboll li...@hilboll.de
wrote:
Hi,
there are np.flipud and np.fliplr methods to flip 2d arrays on the first
and second
On 7/14/13, Charles R Harris charlesr.har...@gmail.com wrote:
Some corner cases in the mean, var, std.
*Empty arrays*
I think these cases should either raise an error or just return nan.
Warnings seem ineffective to me as they are only issued once by default.
In [3]: ones(0).mean()
On 7/15/13, Moroney, Catherine M (398D)
catherine.m.moro...@jpl.nasa.gov wrote:
I know that there's an easy way to solve this problem, but I'm not
sufficiently knowledgeable
about numpy indexing to figure it out.
Here is the problem:
Take a 2-d array a, of any size.
Sort it in ascending
On 7/19/13, Yaroslav Halchenko li...@onerussian.com wrote:
I have just added a few more benchmarks, and here they come
http://www.onerussian.com/tmp/numpy-vbench/vb_vb_linalg.html#numpy-linalg-pinv-a-float32
it seems to be very recent so my only check based on 10 commits
didn't pick it up yet
On 8/20/13, rodrigo koblitz rodrigokobl...@gmail.com wrote:
Hi,
How I can do this:
int(scipy.comb(20314,117))
...
OverflowError: cannot convert float infinity to integer
I assume you mean `scipy.misc.comb`. If you give `comb` the argument
`exact=True`, it will give the exact result as a
I'm investigating a test error in scipy 0.13.0 beta 1 that was
reported by Christoph Gohlke. The scipy issue is here:
https://github.com/scipy/scipy/issues/2771
I don't have a Windows environment to test it myself, but Christoph
reported that this code:
```
import numpy as np
data =
On 8/24/13, Tom Bennett tom.benn...@mail.zyzhu.net wrote:
Hi All,
I have two arrays, A and B.A is 3 x 100,000 and B is 100,000. If I do
np.dot(A,B), I get [nan, nan, nan].
However, np.any(np.isnan(A))==False and np.any(no.isnan(B))==False. And
also np.seterr(all='print') does not print
On 8/24/13, Warren Weckesser warren.weckes...@gmail.com wrote:
On 8/24/13, Tom Bennett tom.benn...@mail.zyzhu.net wrote:
Hi All,
I have two arrays, A and B.A is 3 x 100,000 and B is 100,000. If I do
np.dot(A,B), I get [nan, nan, nan].
However, np.any(np.isnan(A))==False and np.any(no.isnan
` and `y` generates the warning, as expected:
In [5]: x*y
/home/warren/anaconda/bin/ipython:1: RuntimeWarning: overflow
encountered in multiply
#!/home/warren/anaconda/bin/python
Out[5]: array([ inf])
Warren
On Sat, Aug 24, 2013 at 12:39 PM, Warren Weckesser
warren.weckes...@gmail.com
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
An unexpected casting result was just reported on stackoverflow:
http://stackoverflow.com/questions/18833639/attributeerror-in-python-numpy-when-constructing-function-for-certain-values
The following show the essence of the issue:
In [1]: np.__version__
Out[1]: '1.9.0.dev-6ce65d8'
In [2]:
On Mon, Sep 16, 2013 at 1:54 PM, Warren Weckesser
warren.weckes...@gmail.com wrote:
An unexpected casting result was just reported on stackoverflow:
http://stackoverflow.com/questions/18833639/attributeerror-in-python-numpy-when-constructing-function-for-certain-values
The following show
On Wed, Sep 25, 2013 at 9:36 AM, Neal Becker ndbeck...@gmail.com wrote:
David Goldsmith wrote:
Is this a valid algorithm for generating a 3D Wiener process? (When I
graph the results, they certainly look like potential Brownian motion
tracks.)
def Wiener3D(incr, N):
r =
On Wed, Sep 25, 2013 at 12:51 PM, Warren Weckesser
warren.weckes...@gmail.com wrote:
On Wed, Sep 25, 2013 at 9:36 AM, Neal Becker ndbeck...@gmail.com wrote:
David Goldsmith wrote:
Is this a valid algorithm for generating a 3D Wiener process? (When I
graph the results, they certainly
On Wed, Sep 25, 2013 at 1:41 PM, David Goldsmith d.l.goldsm...@gmail.comwrote:
Thanks, guys. Yeah, I realized the problem w/ the
uniform-increment-variable-direction approach this morning: physically, it
ignores the fact that the particles hitting the particle being tracked are
going to have
Which version of numpy are you using? I just tried it with 1.7.1, and it
accepted a StringIO instance. The docstring says the first argument may be
a filename or file handle (
http://docs.scipy.org/doc/numpy/reference/generated/numpy.savetxt.html#numpy.savetxt
).
Warren
On Wed, Nov 6, 2013
On Fri, Nov 22, 2013 at 4:23 PM, Matthew Brett matthew.br...@gmail.comwrote:
Hi,
I'm sorry if I missed something obvious - but is there a vectorized
way to look for None in an array?
In [3]: a = np.array([1, 1])
In [4]: a == object()
Out[4]: array([False, False], dtype=bool)
In [6]: a
Is version 1.8.0 tagged in git? I see tags up to 1.7.1. I suspect
the tagging convention has changed in the git repo. How do I checkout
v1.8.0?
Warren
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On 12/20/13, Charles R Harris charlesr.har...@gmail.com wrote:
On Thu, Dec 19, 2013 at 10:16 PM, Warren Weckesser
warren.weckes...@gmail.com wrote:
Is version 1.8.0 tagged in git? I see tags up to 1.7.1. I suspect
the tagging convention has changed in the git repo. How do I checkout
On Mon, Jan 27, 2014 at 3:43 PM, Charles G. Waldman char...@crunch.iowrote:
Hi Numpy folks.
I just noticed that comparing an array of type 'object' to None does
not behave as I expected. Is this a feature or a bug? (I can take a
stab at fixing it if it's a bug, as I believe it is).
On Tue, Feb 18, 2014 at 11:27 AM, Sebastian Berg sebast...@sipsolutions.net
wrote:
On Di, 2014-02-18 at 09:05 -0700, Charles R Harris wrote:
Hi All,
There is an old ticket, #1499, that suggest adding a segment_axis
function.
def segment_axis(a, length, overlap=0, axis=None,
On Sat, Mar 15, 2014 at 8:38 PM, josef.p...@gmail.com wrote:
I think I wouldn't use anything like @@ often enough to remember it's
meaning. I'd rather see english names for anything that is not **very**
common.
I find A@@-1 pretty ugly compared to inv(A)
A@@(-0.5) might be nice (do we
The test function numpy.testing.assert_equal fails when comparing -0.0 and 0.0:
In [16]: np.testing.assert_equal(-0.0, 0.0)
---
AssertionErrorTraceback (most recent call last)
On Mon, Apr 14, 2014 at 2:59 PM, Matthew Brett matthew.br...@gmail.comwrote:
Hi,
With Carl Kleffner, I am trying to build a numpy 1.8.1 wheel for
Windows 64-bit, and latest stable ATLAS.
It works fine, apart from the following test failure:
On 5/21/14, Siegfried Gonzi siegfried.go...@ed.ac.uk wrote:
Please would anyone tell me the following is an undocumented bug
otherwise I will lose faith in everything:
==
import numpy as np
years = [2004,2005,2006,2007]
dates = [20040501,20050601,20060801,20071001]
for x in years:
I created a pull request (https://github.com/numpy/numpy/pull/4958) that
defines the function `count_unique`. `count_unique` generates a
contingency table from a collection of sequences. For example,
In [7]: x = [1, 1, 1, 1, 2, 2, 2, 2, 2]
In [8]: y = [3, 4, 3, 3, 3, 4, 5, 5, 5]
In [9]:
On Tue, Aug 12, 2014 at 11:35 AM, Warren Weckesser
warren.weckes...@gmail.com wrote:
I created a pull request (https://github.com/numpy/numpy/pull/4958) that
defines the function `count_unique`. `count_unique` generates a
contingency table from a collection of sequences. For example
On Tue, Aug 12, 2014 at 12:51 PM, Eelco Hoogendoorn
hoogendoorn.ee...@gmail.com wrote:
ah yes, that's also an issue I was trying to deal with. the semantics I
prefer in these type of operators, is (as a default), to have every array
be treated as a sequence of keys, so if calling
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