Hey Brendan
2008/9/17 Brendan Simons [EMAIL PROTECTED]:
I would love a c-types code snippet. I'm not very handy in c. Since
I gather numpy is row-major, I thought I up and down crops very
quickly by moving the start and end pointers of the array. For
cropping left and right, is there a
Sorry for not relating to the details of the problem, but, did you take a look
pygpu? It intends to be able to enable image processing as video rate.
Nadav
-הודעה מקורית-
מאת: [EMAIL PROTECTED] בשם St?fan van der Walt
נשלח: ה 18-ספטמבר-08 10:25
אל: Discussion of Numerical Python
נושא:
On Thu, Sep 18, 2008 at 1:29 AM, Robert Kern [EMAIL PROTECTED] wrote:
On Wed, Sep 17, 2008 at 18:09, Ondrej Certik [EMAIL PROTECTED] wrote:
On Wed, Sep 17, 2008 at 3:56 AM, Robert Kern [EMAIL PROTECTED] wrote:
On Mon, Sep 15, 2008 at 11:13, Arnar Flatberg [EMAIL PROTECTED] wrote:
That would
I have data from biological experiments that is represented as a list of
about 5000 triples. I would like to convert this to a list of the median
of each triple. I did some profiling and found that numpy was much about
12 times faster for this application than using regular Python lists and
a
I think you need to use masked arrays.
Nadav
-הודעה מקורית-
מאת: [EMAIL PROTECTED] בשם Peter Saffrey
נשלח: ה 18-ספטמבר-08 14:27
אל: numpy-discussion@scipy.org
נושא: [Numpy-discussion] Medians that ignore values
I have data from biological experiments that is represented as a list of
On Thu, Sep 18, 2008 at 1:01 PM, Robert Cimrman [EMAIL PROTECTED] wrote:
Hi Robert,
Robert Kern wrote:
On Mon, Sep 15, 2008 at 11:13, Arnar Flatberg [EMAIL PROTECTED] wrote:
That would make me an extremely happy user, I've been looking for this for
years!
I can't imagine I'm the only one
Nadav Horesh wrote:
I think you need to use masked arrays.
Nadav
-הודעה מקורית-
מאת: [EMAIL PROTECTED] בשם Peter Saffrey
נשלח: ה 18-ספטמבר-08 14:27
אל: numpy-discussion@scipy.org
נושא: [Numpy-discussion] Medians that ignore values
I have data from biological experiments
Ondrej Certik wrote:
On Thu, Sep 18, 2008 at 1:01 PM, Robert Cimrman [EMAIL PROTECTED] wrote:
It requires Cython and a C compiler to build. I'm still debating
myself about the desired workflow for using it, but for now, it only
profiles functions which you have registered with it. I have made
You might want to try isfinite() to first remove nan, +/- infinity
before doing that.
numpy.median(a[numpy.isfinite(a)])
We just had this discussion a month or two ago, I think even on this
list, and continued it at the SciPy conference.
The problem with
numpy.median(a[numpy.isfinite(a)])
So the timing raises a lot. For obvious reasons, that's the overhead
of the profiler. But the problem is that then the timings just don't
fit, e.g. if I sum the total time spent in subfunctions, it doesn't
account for all the time printed on the respective line in the parent
function.
I
On Wed, Sep 17, 2008 at 10:33 PM, Robert Kern [EMAIL PROTECTED] wrote:
On Wed, Sep 17, 2008 at 07:12, Arnar Flatberg [EMAIL PROTECTED]
wrote:
On Wed, Sep 17, 2008 at 3:56 AM, Robert Kern [EMAIL PROTECTED]
wrote:
It should be straightforward to make an ipython %magic, yes. There are
On Thursday 18 September 2008 13:31:18 Peter Saffrey wrote:
The version in the Ubuntu package repository. It says 1:1.0.4-6ubuntu3.
So it's 1.0 ? It's fairly old, that would explain.
if you don't give an axis
parameter, you should get the median of the flattened array, therefore a
scalar,
Hey,
I would like to tag 1.2.0 from the 1.2.x branch. Are there any
problems with this? In particular, are there any known problems that
would require us having another release candidate? As soon as we get
this release out we can start back-porting bugfixes from the trunk to
the 1.2.x branch
On Thu, Sep 18, 2008 at 06:01, Robert Cimrman [EMAIL PROTECTED] wrote:
Hi Robert,
Robert Kern wrote:
On Mon, Sep 15, 2008 at 11:13, Arnar Flatberg [EMAIL PROTECTED] wrote:
That would make me an extremely happy user, I've been looking for this for
years!
I can't imagine I'm the only one who
On Thu, Sep 18, 2008 at 10:03, Ondrej Certik [EMAIL PROTECTED] wrote:
Anyway, back to work: Robert K., I noticed that if I profile some
function, I get results like this for example:
40 307246952 6.6 [x,w] = p_roots(n)
41 307224192 3.4
Hi, All,
I have found a bug in the loadtxt function. Here is the example. The file name
is test.txt and contains:
Thist is test
3FF 3fE
3Ef 3e8
3Df 3d9
3cF 3c7
In the Python 2.5.2, I type:
test=loadtxt('test.txt',comments='',dtype='string',converters={0:lambda
s:int(s,16)})
test will
frank wang wrote:
Hi, All,
I have found a bug in the loadtxt function. Here is the example. The
file name is test.txt and contains:
Thist is test
3FF 3fE
3Ef 3e8
3Df 3d9
3cF 3c7
In the Python 2.5.2, I type:
I want to generate a series of random samples, to do simulations based
on them. Essentially, I want to be able to produce a SAMPLESIZE * N
matrix, where each row of N values consists of either
1. Integers between 1 and M (simulating M rolls of an N-sided die), or
2. A sample of N numbers
On Thu, Sep 18, 2008 at 16:55, Paul Moore [EMAIL PROTECTED] wrote:
I want to generate a series of random samples, to do simulations based
on them. Essentially, I want to be able to produce a SAMPLESIZE * N
matrix, where each row of N values consists of either
1. Integers between 1 and M
Hi, Ryan,
Thank you very much. It solves my problem. I have struggled with this for long
time.
Frank Date: Thu, 18 Sep 2008 16:39:47 -0500 From: [EMAIL PROTECTED] To:
numpy-discussion@scipy.org Subject: Re: [Numpy-discussion] A bug in loadtxt
and how to convert a string array (hex data) to
On Thu, Sep 18, 2008 at 02:54:13PM -0500, Robert Kern wrote:
So here's what going on: I'm being clever (and possibly too clever).
Oh no. Robert K. is too clever. We knew that, right ;).
Gaël
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Francis wrote:
Thank you for your effort. I guess garnumpy reflects the idea in this
Pylab discussion: http://www.scipy.org/PyLab
Again I get errors in libblas/lapack related to gfortran (local
variable problems). I replaced the libblas.a and the liblaplack.a by
the ones of sage. And started
David Cournapeau wrote:
If you install blas/lapack from sage, it kind of defeats the whole
purpose of garnumpy. The goal is to have a unified set of options to
build. It is likely that sage uses different options than the ones from
garnumpy. If you use garnumpy, you should use it for
All,
I'd like to submit the following suggestion for recarray.view, so that it
could accept two keywords like standard ndarrays do.
As a change in records.py can potentially affect a lot of people (probably
more than a change in numpy.ma), I'm not confident enough to commit it.
Consider that as
2008/9/18 David Cournapeau [EMAIL PROTECTED]:
Peter Saffrey wrote:
Is this the correct behavior for median with nan?
That's the expected behavior, at least :) (this is also the expected
behavior of most math packages I know, including matlab and R, so this
should not be too surprising if
Pierre GM wrote:
All,
I'd like to submit the following suggestion for recarray.view, so that it
could accept two keywords like standard ndarrays do.
As a change in records.py can potentially affect a lot of people (probably
more than a change in numpy.ma), I'm not confident enough to
hello, I just updated my svn repository, but I am now unable anymore to
import numpy :
In [1]: import numpy as np
---
ImportError Traceback (most recent call last)
/home/cohen/ipython console in
Anne Archibald wrote:
That was in amax/amin. Pretty much every other function that does
comparisons needs to be fixed to work with nans. In some cases it's
not even clear how: where should a sort put the nans in an array?
The problem is more on how the functions use sort than sort itself in
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