.
> 22 февр. 2017 г., в 20:55, Stephan Hoyer <sho...@gmail.com> написал(а):
>
> On Wed, Feb 22, 2017 at 8:57 AM, Alex Rogozhnikov <alex.rogozhni...@yandex.ru
> <mailto:alex.rogozhni...@yandex.ru>> wrote:
> Pandas may be nice, if you need a report, and you need get
> 22 февр. 2017 г., в 20:39, josef.p...@gmail.com написал(а):
>
>
>
> On Wed, Feb 22, 2017 at 11:57 AM, Alex Rogozhnikov
> <alex.rogozhni...@yandex.ru <mailto:alex.rogozhni...@yandex.ru>> wrote:
> Hi Matthew,
> maybe it is not the best place to dis
orry for large letter.
Alex.
> 22 февр. 2017 г., в 18:38, Matthew Harrigan <harrigan.matt...@gmail.com>
> написал(а):
>
> Alex,
>
> Can you please post some code showing exactly what you are trying to do and
> any issues you are having, particularly the "irrita
nother strange question:
in general, it is considered that once numpy.array is created, it's shape not
changed.
But if i want to keep the same recarray and change it's dtype and/or shape, is
there a way to do this?
Thanks,
Alex.
> 22 февр. 2017 г., в 3:53, Nathaniel Smith <n...@pobox.co
) in a column-by-column way (and this
is numpy, not pandas).
Is there such a magic thing?
Alex.
> 22 февр. 2017 г., в 2:10, Chris Barker <chris.bar...@noaa.gov> написал(а):
>
>
>
> On Tue, Feb 21, 2017 at 3:05 PM, Alex Rogozhnikov <alex.rogozhni...@yandex.ru
> <mai
umpy
x = numpy.recarray(dtype=[('a', int), ('b', float)], shape=[1000], order='C')
y = numpy.recarray(dtype=[('a', int), ('b', float)], shape=[1000], order='F')
print numpy.array(x.ctypes.get_strides()) # [16]
print numpy.array(y.ctypes.get_strides()) # [16]
is this an intended behavior or bug?
Thanks
> 31 дек. 2016 г., в 2:09, Nicolas P. Rougier <nicolas.roug...@inria.fr>
> написал(а):
>
>>
>> On 30 Dec 2016, at 20:36, Alex Rogozhnikov <alex.rogozhni...@yandex.ru>
>> wrote:
>>
>> Hi Nicolas,
>> that's a very nice work!
>
ces as those
can be visualized easily e.g. on some photo.
Thanks,
Alex.
> 23 дек. 2016 г., в 12:14, Kiko <kikocorre...@gmail.com> написал(а):
>
>
>
> 2016-12-22 17:44 GMT+01:00 Nicolas P. Rougier <nicolas.roug...@inria.fr
> <mailto:nicolas.roug...@inria.fr>
Thanks for pointing out the tensorflow multinomial implementation, this will
cover my use case perfectly.
The documentation on raises is redundant as well, the relevant information is
mentioned in the parameter description. I’ve closed the PR.
Cheers,
Alex
From: NumPy
`1e-12` tolerance to a non-negative float parameter
with default value `1e-12`.
Alex
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Hi, Joe,
> I am working (slowly) on upgrading the C code for partitioning with
> arbitrary arrays of real weights
really good to know there is some work in this direction.
02 марта 2016 г., в 6:27, Joseph Fox-Rabinovitz <jfoxrabinov...@gmail.com>
написал(а):
> Alex,
>
at the moment (numpy/scipy/pandas)?
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hing to other points, but this is not simple.
(I left %matplolib inline due to more appropriate rendering)
Alex.
02.10.15 10:50, Kiko пишет:
2015-10-02 9:48 GMT+02:00 Kiko <kikocorre...@gmail.com
<mailto:kikocorre...@gmail.com>>:
2015-10-02 9:38 GMT+02:00 Alex Rogozhnikov
I would suggest
%matplotlib notebook
It will still have to a nice png, but you get an interactive figure
when it is live.
Amazing, thanks. I was using mpld3 for this.
(for some strange reason I need to put %matplotlib notebook before each
plot)
The recommendation of inverting a
Comments are welcome, specially if you know any other ways to make this
code faster (or better).
Regards,
Alex.
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On Mon, Jul 28, 2014 at 8:46 AM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Mo, 2014-07-28 at 14:37 +0200, Eelco Hoogendoorn wrote:
To rephrase my most pressing question: may np.ones((N,2)).mean(0) and
np.ones((2,N)).mean(1) produce different results with the
implementation in the
On Fri, Jul 18, 2014 at 9:47 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Fri, Jul 18, 2014 at 2:32 PM, Chris Barker chris.bar...@noaa.gov wrote:
On Fri, Jul 18, 2014 at 12:43 PM, Pauli Virtanen p...@iki.fi wrote:
18.07.2014 22:13, Chris Barker kirjoitti:
[clip]
but an
On Thu, May 22, 2014 at 1:50 PM, Darlan Cavalcante Moreira
darc...@gmail.com wrote:
After updating Ubuntu to 14.04 and thus numpy to version 1.8.1 I'm
having problems with the linalg.matrix_rank function that I didn't have
before (as far as I know).
More specifically, I get the error
On Wed, May 21, 2014 at 3:29 PM, 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]
On Mon, Apr 21, 2014 at 3:13 AM, Eelco Hoogendoorn
hoogendoorn.ee...@gmail.com wrote:
As far as I can tell, [Theano] is actually the only tensor/ndarray aware
differentiator out there
And AlgoPy, a tensor/ndarray aware arbitrary order automatic
differentiator (https://pythonhosted.org/algopy/)
On Tue, Apr 1, 2014 at 4:54 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Tue, Apr 1, 2014 at 2:08 PM, Nathaniel Smith n...@pobox.com wrote:
On Tue, Apr 1, 2014 at 9:02 PM, Sturla Molden sturla.mol...@gmail.com
wrote:
Haslwanter Thomas thomas.haslwan...@fh-linz.at wrote:
solution, such as an additional
command-line argument when invoking f2py?
For what it is worth, I am also using Version 14.0.2 of the Intel Fortran
Compiler.
Thanks,
Alex
--
Alex Goodman
Graduate Research Assistant
Department of Atmospheric Science
Colorado State University
Hi Robert,
That did the trick, thanks!
Alex
On Thu, Mar 27, 2014 at 3:02 PM, Robert Kern robert.k...@gmail.com wrote:
On Thu, Mar 27, 2014 at 8:50 PM, David Cournapeau courn...@gmail.com
wrote:
On Thu, Mar 27, 2014 at 8:30 PM, Alex Goodman
alex.good...@colostate.edu
wrote:
Hi all
On Wed, Mar 26, 2014 at 7:22 PM, T J tjhn...@gmail.com wrote:
What is the status of:
https://github.com/numpy/numpy/blob/master/doc/neps/missing-data.rst
For what it's worth this NEP was written in 2011 by mwiebe who made
258 numpy commits in 2011, 1 in 2012, and 3 in 2014. According to
On Thu, Mar 13, 2014 at 1:35 PM, Leo Mao lmao20...@gmail.com wrote:
And I found that maybe I can also make some functions related to linalg
(like dot, svd or something else) faster by integrating a proper library
into numpy.
I think everyone who wants fast numpy linalg already connects to
On Thu, Mar 6, 2014 at 2:51 PM, Nathaniel Smith n...@pobox.com wrote:
On Wed, Mar 5, 2014 at 4:45 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
Hi all,
in Pull Request https://github.com/numpy/numpy/pull/3864 Neol Dawe
suggested adding new parameters to our `cov` and `corrcoef`
On Mon, Feb 17, 2014 at 1:24 PM, Sturla Molden wrote:
Sturla Molden wrote:
Dave Hirschfeld wrote:
Even if lapack_lite always performed the isfinite check and threw a python
error if False, it would be much better than either hanging or segfaulting
and
people who care about the isfinite
On Mon, Feb 17, 2014 at 4:49 AM, Dave Hirschfeld novi...@gmail.com wrote:
alex argriffi at ncsu.edu writes:
Hello list,
Here's another idea resurrection from numpy github comments that I've
been advised could be posted here for re-discussion.
The proposal would be to make np.linalg.svd
On Mon, Feb 17, 2014 at 8:13 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
This is apropos issue #899, where it is suggested that power promote
integers to float. That sounds reasonable to me, but such a change in
behavior makes it a bit iffy.
Thoughts?
After this change, what would
On Sun, Feb 16, 2014 at 12:13 PM, David Freese dfre...@stanford.edu wrote:
Hi everyone,
I put together a np.nanmedian function to extend np.median to handle nans.
Could someone review this code and give me some feedback on it before I
submit a pull request for it?
It looks good to submit as
It doesn't deal with numpy.matrix in the same way as numpy.nanmean.
never mind about this -- it looks like np.median is currently broken
for np.matrix.
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On Sun, Feb 16, 2014 at 1:01 PM, David Freese dfre...@stanford.edu wrote:
the 0s put into the array copy arr are not used in computation. The
_replace_nan call is used primarily to generate a mask of the NaNs and make
sure it passes the mutation test. I updated the unit tests to reflect
forever]
```
Alex
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On Sat, Feb 15, 2014 at 5:08 PM, josef.p...@gmail.com wrote:
On Sat, Feb 15, 2014 at 4:56 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Sa, 2014-02-15 at 16:37 -0500, alex wrote:
Hello list,
Here's another idea resurrection from numpy github comments that I've
been advised could
On Sat, Feb 15, 2014 at 5:08 PM, josef.p...@gmail.com wrote:
On Sat, Feb 15, 2014 at 4:56 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Sa, 2014-02-15 at 16:37 -0500, alex wrote:
Hello list,
Here's another idea resurrection from numpy github comments that I've
been advised could
, Feb 15, 2014 at 4:56 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Sa, 2014-02-15 at 16:37 -0500, alex wrote:
Hello list,
Here's another idea resurrection from numpy github comments that I've
been advised could be posted here for re-discussion.
The proposal would
On Sat, Feb 15, 2014 at 6:34 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Sa, 2014-02-15 at 18:20 -0500, alex wrote:
snip
I'm not sure exactly what you mean by this. You are suggesting that
if the svd fails with some kind of exception (possibly poorly or
misleadingly worded
On Mon, Feb 10, 2014 at 11:16 AM, Alexander Belopolsky ndar...@mac.com wrote:
On Sun, Feb 9, 2014 at 4:59 PM, alex argri...@ncsu.edu wrote:
On the other hand, it really needs to be deprecated.
While numpy.matrix may have its problems, a NEP should list a better
rationale than the above
be particularly useful for
representations of linear operators for which elementwise modification
might be less efficient (for example as in some implementations of
sparse matrices) or essentially unavailable (for example as in
matrix-free linear operators).
Alex
explicitly
in their project.
Alex
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On Mon, Feb 10, 2014 at 11:27 AM, josef.p...@gmail.com wrote:
How do we calculate the diagonal of the hat matrix without using N by N
matrices?
Not sure if this was a rhetorical question or what, but this seems to work
leverages = np.square(scipy.linalg.qr(X, mode='economic')[0]).sum(axis=1)
On Mon, Feb 10, 2014 at 12:16 PM, Nathaniel Smith n...@pobox.com wrote:
On Mon, Feb 10, 2014 at 12:02 PM, Matthieu Brucher
matthieu.bruc...@gmail.com wrote:
Yes, but these will be scipy.sparse matrices, nothing to do with numpy
(dense) matrices.
Unfortunately when scipy.sparse matrices
On Mon, Feb 10, 2014 at 2:03 PM, eat e.antero.ta...@gmail.com wrote:
Rhetorical or not, but FWIW I'll prefer to take singular value decomposition
(u, s, vt= svd(x)) and then based on the singular values s I'll estimate a
numerically feasible rank r. Thus the diagonal of such hat matrix would be
On Mon, Feb 10, 2014 at 2:36 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Mon, Feb 10, 2014 at 6:26 AM, Nathaniel Smith n...@pobox.com wrote:
On Sun, Feb 9, 2014 at 4:59 PM, alex argri...@ncsu.edu wrote:
Hello list,
I wrote this mini-nep for numpy but I've been advised it is more
On Mon, Feb 10, 2014 at 3:47 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Mon, Feb 10, 2014 at 12:44 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Feb 10, 2014 at 1:23 PM, Alan G Isaac alan.is...@gmail.com wrote:
On 2/10/2014 3:04 PM, Matthew Brett wrote:
I
On Mon, Feb 10, 2014 at 4:42 PM, Alan G Isaac alan.is...@gmail.com wrote:
On 2/10/2014 4:40 PM, alex wrote:
I really want to remove it
Can you articulate the problem created by its existence
that leads you to this view?
In my opinion, Pauli has articulated these problems well in this thread
closer to the realm of acceptable discussion.
Alex
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On Sun, Feb 9, 2014 at 5:12 PM, Alan G Isaac wrote:
On 2/9/2014 4:59 PM, alex wrote:
The ``numpy.matrix`` API provides a low barrier to using Python
for linear algebra, just as the pre-3 Python ``input`` function
and ``print`` statement provided low barriers to using Python
median is faster in version 1.8
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On Wed, Nov 27, 2013 at 11:56 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
Here.
And his later commit messages went straight to https://twitter.com/gitlost
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On Sat, Nov 16, 2013 at 8:28 AM, David Pine djp...@gmail.com wrote:
The program at the bottom of this message returns the following runtime
warning:
python test.py
test.py:5: RuntimeWarning: invalid value encountered in divide
return np.where(x==0., 1., np.sin(x)/x)
The function works
On Sat, Nov 16, 2013 at 8:28 AM, David Pine djp...@gmail.com wrote:
The program at the bottom of this message returns the following runtime
warning:
python test.py
test.py:5: RuntimeWarning: invalid value encountered in divide
return np.where(x==0., 1., np.sin(x)/x)
The function works
On Mon, Oct 28, 2013 at 11:47 AM, Neal Becker ndbeck...@gmail.com wrote:
isinstance (np.zeros (10), collections.Sequence)
Out[36]: False
That's unfortunate.
There seems to be a discussion here
https://github.com/numpy/numpy/issues/2776
Alex
this difference between numpy versions is
an unexpected problem.
Alex
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I have a question about numpy profiling. When I run my script with -m
cProfile I see timings for lots of functions, but not for some like
np.exp(). How do I see these timings? I don't want to have to work around
it by writing a lot of functions like def mynumpyexp(A): return np.exp(A).
), or iterating over each dimension?
Please point me in the right direction. There must be a way or else
the entire software suite would not work.
Thanks,
Alex Eftimiades
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on pickling, which
pickle properly.
Unless there are objections or opinions on potential solutions, I am
inclined to implement A.
Thanks,
Alex Ford
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.
Any help much appreciated.
Alex van der Spek
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built my Ubuntu python with the '-fp-model strict' option, as per
recommendations I've seen, but this turns on floating point exceptions, so I'm
going to rebuild with '-fp-model precise -fp-model source', and see how it
goes...
Cheers,
Alex
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anything that works
yet.
Alex
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Thank you.
On Sun, Aug 26, 2012 at 11:04 AM, Alex Flint alex.fl...@gmail.com wrote:
I have two lists of 3x3 arrays and I would like to compute the matrix
product of the i-th element in the first list with the i-th element in
the second list. Of course, I could just loop over the lists:
for i
installed, which I think should
include the console_script f2py?)
Alex
Cheers,
Scott
--
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here with some more details about the problem?
- https://bitbucket.org/pythonpackages/pythonpackages.com/issues/new
IIUC an optimized BLAS is some shared library that makes numpy's
operations peform better?
Alex
Fred
On Sat, Jul 28, 2012 at 7:25 PM, Alex Clark acl...@aclark.net wrote
/nights in #pythonpackages on irc.freenode.net. Hope to meet/talk
with all of you soon.
Alex
--
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hi everyone, I run python 2.7.2. in Eclipse (recently upgraded from 2.6). I
have a problem with installing matplotlib (I found the version for python
2.7. MacOs 10.3, no later versions). If I run python in terminal using arch
-i386 python, and then
from matplotlib.pylab import *
and similar
')
time_array
array([ 20091232.], dtype=float32)
20091231---20091232 Why?
Note:
float(20091231)
20091231.0
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I'm using Eclipse (PyDev) on MacOS. I downloaded scipy010, installed it and
added path to .mpkg file to PYTHONPATH and scipy to forced built-in.
Nothing worked, I keep getting 'module scipy not found'. I then removed the
link to the .mpkg and still nothing works. Strange enough, numpy works just
yes, that's exactly what i did. I'm using Python2.6 both in PyDev and Scipy.
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yeah, I've already removed it, still doesn't work.
I'm running Python 2.6 and SciPy version I'm trying to install is
scipy-0.10.0-py2.6-python.org-macosx10.3., pydev version is 2.2.4
I've had no trouble running numpy or Tkinter for example. Also none of
the other modules I'm using have been
OK thanks guys, reinstalling the interpreter did the trick. I'm quite
sure I did it before though, without any effect. More interestingly, I
have two interpreters running, one for 2.6 and the other the auto. So
the latter one still tells me the module isn't found, the former works
just fine.
hi eveyone,
is there a simple command in numpy similar to matlab char(bin2dec('//some
binary value//')) to convert binary to characters and back?
thanks
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)
gives me a confusing result. I only asked to name the columns and change their
types to half precision floats.
What am I missing? How to do this?
Thank you in advance,
Alex van der Spek
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http
I got a problem running NumPy in Eclipse. I recently installed PyDev, but
after downloading NumPy the installation attempt failed since python 2.6 was
not found. I've installed Python 2.7. Do I need to replace it with Python
2.6?
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to achieve this within
numpy?
Alex
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image, modulo a mask on the small image.
Is this meant to be like this?
Alex
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this is probably silly question, I've seen in this in one of the tutorials:
from tkinter import *
import tkinter.messagebox
given that * implies importing the whole module, why would anyone bother
with importing a specific command on top of it?
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I would like to perform 2d correlations between a large matrix A and a bunch
of small matrices B1...Bn. Is there anything built into numpy to help me do
this efficiently in the fourier domain (i.e. DFT of A - multiplication with
DFT of B1..Bn)?
Cheers,
Alex
Is it possible to use argmax or something similar to find the locations of
the largest N elements in a matrix?
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sub-array and computes the SSD
with something like ((A-B)**2).sum().
Cheers,
Alex
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At the moment I'm using numpy.dot to convert a WxHx3 RGB image to a
grayscale image:
src_mono = np.dot(src_rgb.astype(np.float), np.ones(3)/3.);
This seems quite slow though (several seconds for a 3 megapixel image) - is
there a more specialized routine better suited to this?
Cheers,
Alex
really want float64, it is still faster to do the first operation
with single precision:
In [8]: timeit b = a.astype(np.float32).sum(axis=-1).astype(np.float64);
b /= 3.0
10 loops, best of 3: 163 ms per loop
Eric
On Jun 20, 2011, at 4:15 PM, Alex Flint wrote:
At the moment I'm
I have a vector of positive integers length n. Is there a simple (i.e.
without sorting/ranking) of 'pulling out' k larrgest (or smallest) values.
Something like
*sum(x[sum(x,1)(max(sum(x,1)+min(sum(x,1/2,])*
but smarter
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, I am not aware
of the open source and free ones.
Would you join our team?
Best regards,
Alex Liberzon
Turbulence Structure Laboratory [http://www.eng.tau.ac.il/turbulencelab]
School of Mechanical Engineering
Tel Aviv University
Le dimanche 24 avril 2011 ? 16:53 +0200, Davide a ?crit :
Hi
I have 2 variables, say var1=10,var2=100. To divide I do either
divide(float(var1),float(var2)) or simply float(var1)/float(var2). I'm just
wondering if there's a smarter way of doing this?
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thanks Sturl, your second code works well although I had to divide the
vector elements through 128 to get just the binaries
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If I want to generate a string of random bits with equal probability I run
random.randint(0,2,size).
What if I want a specific proportion of bits? In other words, each bit is 1
with probability p1/2 and 0 with probability q=1-p?
thanks
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. I'd be glad if any1 could have any suggestions in this regard.
cheers,
Alex
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) returns
TypeError: float() argument must be a string or a number
Any ideas what to do with this (e.g. convert to floating numbers)?
cheers,
Alex
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hi thanks I've sorted ou the issue
Alex
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thanks, this didn't seem to work. I get a whole range of errors, most
importantly
SystemError: Cannot compiler 'Python.h'. Perhaps you need to install
python-dev|python-devel.
Apparently, according to numpy installation guide
thanks! it actually worked! maybe u could recommend some good sources/readin
on how to install different modules in python run under linux
thanks again,
alex
2010/10/19 Pauli Virtanen p...@iki.fi
Tue, 19 Oct 2010 21:26:38 +1300, Alex Ter-Sarkissov wrote:
thanks, this didn't seem to work. I
hi everyone, i'm very new to ubuntu, now trying to install numpy and
wxpython.
Having unpacked numpy and running the standard commnad in idle
from numpy import *
i get the message
ImportError: Error importing numpy: you should not try to import numpy from
its source directory; please
hi, this is probably a very silly question, but I can't get my hear
around it unfortunately(
I have an array (say, mat=rand(3,5)) from which I 'pull out' a row
(say, s1=mat[1,]). The problem is, the shape of this row s1 is not
[1,5], as I would expect, but rather [5,], which means that I can't,
Hi,
I am trying to create a function that calculates the integral of another
function. The integral function should later be used in
scipy.optimize.leastsq(f, ...), so ideally it should have the format:
def f(x, *param)
so that it works for a variable number of parameters. While my code
Pauli Virtanen pav+sp at iki.fi writes:
Thank you. the problem is solved
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I'm trying to install numpy 1.0.4 on my Intel MacBook Pro with Mac OS 10.4
and running Python 2.5. When I run python setup.py build I get the
errors below. Is this a compatibility issue?:
Running from numpy source directory.
non-existing path in 'numpy/distutils': 'site.cfg'
F2PY Version 2_4422
Running from numpy source directory.
non-existing path in 'numpy/distutils': 'site.cfg'
F2PY Version 2_4422
blas_opt_info:
FOUND:
extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
define_macros = [('NO_ATLAS_INFO', 3)]
extra_compile_args = ['-faltivec',
I'm doing some projects in Python (system GNU / Linux - Ubuntu 7.0) about image
processing. I'm needing a implementation of PCA, prefer to library for apt-get.
Thanks.
Alex.
Novo Yahoo! Cadê
The instructions here are clear and easy to follow:
http://www.spywareinfo.com/articles/vmware/basharing.php
Hence, I was able to install the ftp server on Ubuntu and exchange my
files in real-time in Windows. I use vsftpd on Ubuntu and Wincp on
Windows.
best
Alex
On Jun 11, 7:18 pm, Bill Baxter
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