David Cournapeau david at ar.media.kyoto-u.ac.jp writes:
Matthew Brett wrote:
Hi,
We are using numpy.distutils, and have run into this odd behavior in
windows:
Short answer:
I am afraid it cannot work as you want. Basically, when you pass an
option to build_ext, it does not
Hi Chuck,
Charles R Harris wrote:
To make purely computational code available to third parties, two
things are
needed:
1. the code itself needs to make the split explicit.
2. there needs to be support so that reusing those functionalities
is as
painless as
Dave wrote:
David Cournapeau david at ar.media.kyoto-u.ac.jp writes:
Matthew Brett wrote:
Hi,
We are using numpy.distutils, and have run into this odd behavior in
windows:
Short answer:
I am afraid it cannot work as you want. Basically, when you pass an
option to
David Cournapeau david at ar.media.kyoto-u.ac.jp writes:
You need to do as follows, if you want to control from the command line:
python setup.py build -c mingw32 bdist_wininst
That's how I build the official binaries .
cheers,
David
Running the command:
C:\dev\src\numpypython
Dave wrote:
David Cournapeau david at ar.media.kyoto-u.ac.jp writes:
You need to do as follows, if you want to control from the command line:
python setup.py build -c mingw32 bdist_wininst
That's how I build the official binaries .
cheers,
David
Running the command:
On Tue, Aug 4, 2009 at 5:28 PM, David
Cournapeauda...@ar.media.kyoto-u.ac.jp wrote:
No, I think you and Matthew actually found a bug in recent changes I
have done in distutils. I will fix it right away,
Ok, not right away, but could you check that r7280 fixed it for you ?
cheers,
David
David Cournapeau cournape at gmail.com writes:
On Tue, Aug 4, 2009 at 5:28 PM, David
Cournapeaudavid at ar.media.kyoto-u.ac.jp wrote:
No, I think you and Matthew actually found a bug in recent changes I
have done in distutils. I will fix it right away,
Ok, not right away, but could
Dave dave.hirschfeld at gmail.com writes:
Work's for me.
-Dave
Except now when trying to compile the latest scipy I get the following error:
C:\dev\src\scipysvn up
Fetching external item into 'doc\sphinxext'
External at revision 7280.
At revision 5890.
C:\dev\src\scipypython setup.py
Dave wrote:
Dave dave.hirschfeld at gmail.com writes:
Work's for me.
-Dave
Except now when trying to compile the latest scipy I get the following error:
Was numpy installed from a bdist_wininst installer, or did you use the
install method directly ?
David
David Cournapeau david at ar.media.kyoto-u.ac.jp writes:
Dave wrote:
Dave dave.hirschfeld at gmail.com writes:
Work's for me.
-Dave
Except now when trying to compile the latest scipy I get the following
error:
Was numpy installed from a bdist_wininst
Hello all,
I am making a lot of use of atleast_1d and atleast_2d in my routines.
Does anybody know whether this will slow down my code significantly?
Thanks,
Mark
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Dave wrote:
David Cournapeau david at ar.media.kyoto-u.ac.jp writes:
Dave wrote:
Dave dave.hirschfeld at gmail.com writes:
Work's for me.
-Dave
Except now when trying to compile the latest scipy I get the following
error:
Hello,
I am making a lot of use of atleast_1d and atleast_2d in my routines.
Does anybody know whether this will slow down my code significantly?
if there is no need to make copies (i.e. if you take arrays as
parameters (?)), calls to atleast_1d and atleast_2d should be
Bruce Southey wrote:
Hi,
Can you try these from the command line:
python -m timeit -n 100 -s import numpy as np; a = np.arange(0.0, 1000,
(2*3.14159) / 1000, dtype=np.float32)
python -m timeit -n 100 -s import numpy as np; a = np.arange(0.0, 1000,
(2*3.14159) / 1000, dtype=np.float32);
On Tue, Aug 04, 2009 at 07:37:03AM -0700, Keith Goodman wrote:
I'm always amazed at the solutions people come up with on this list.
So if you send an example, someone might be able to get rid of the
need for atleast_1d.
On the other hand, it costs almost no time, and makes your API more
Charles R Harris wrote:
On Mon, Aug 3, 2009 at 11:51 AM, Andrew Friedley afrie...@indiana.eduwrote:
Charles R Harris wrote:
What compiler versions are folks using? In the slow cases, what is the
timing for converting to double, computing the sin, then casting back to
single?
I did this, is
On Wed, Aug 5, 2009 at 12:14 AM, Andrew Friedleyafrie...@indiana.edu wrote:
Do you know where this conversion is, in the code? The impression I got
from my quick look at the code was that a wrapper sinf was defined that
just calls sin. I guess the typecast to float in there will do the
On Tue, Aug 4, 2009 at 8:13 PM, David
Cournapeauda...@ar.media.kyoto-u.ac.jp wrote:
I think I understand the problem. Unfortunately, that's looks tricky to
solve... I hate distutils.
Ok - should be fixed in r7281.
David
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NumPy-Discussion mailing
Hello,
I know this has to have a very simple answer, but stuck at this very moment
and can't get a meaningful result out of np.mean()
In [121]: a = array([NaN, 4, NaN, 12])
In [122]: b = array([NaN, 2, NaN, 3])
In [123]: c = a/b
In [124]: mean(c)
Out[124]: nan
In [125]: mean a
David Cournapeau cournape at gmail.com writes:
On Tue, Aug 4, 2009 at 8:13 PM, David
Cournapeaudavid at ar.media.kyoto-u.ac.jp wrote:
I think I understand the problem. Unfortunately, that's looks tricky to
solve... I hate distutils.
Ok - should be fixed in r7281.
David
Well,
On Tue, Aug 4, 2009 at 11:46, Gökhan Severgokhanse...@gmail.com wrote:
Hello,
I know this has to have a very simple answer, but stuck at this very moment
and can't get a meaningful result out of np.mean()
In [121]: a = array([NaN, 4, NaN, 12])
In [122]: b = array([NaN, 2, NaN, 3])
In
On Tue, Aug 4, 2009 at 9:46 AM, Gökhan Severgokhanse...@gmail.com wrote:
Hello,
I know this has to have a very simple answer, but stuck at this very moment
and can't get a meaningful result out of np.mean()
In [121]: a = array([NaN, 4, NaN, 12])
In [122]: b = array([NaN, 2, NaN, 3])
In
Note that NaN generally contaminates sums and other net results (as it
should). You should filter them out (there is more than one way to do
that). But also note that the IEEE standard for floating point numbers
requires NaN != Nan. Thus any attempts to find where NaNs that way is
destined
On Tue, Aug 4, 2009 at 9:54 AM, Keith Goodmankwgood...@gmail.com wrote:
On Tue, Aug 4, 2009 at 9:46 AM, Gökhan Severgokhanse...@gmail.com wrote:
Hello,
I know this has to have a very simple answer, but stuck at this very moment
and can't get a meaningful result out of np.mean()
In [121]: a
On Tue, Aug 4, 2009 at 12:59 PM, Keith Goodmankwgood...@gmail.com wrote:
On Tue, Aug 4, 2009 at 9:54 AM, Keith Goodmankwgood...@gmail.com wrote:
On Tue, Aug 4, 2009 at 9:46 AM, Gökhan Severgokhanse...@gmail.com wrote:
Hello,
I know this has to have a very simple answer, but stuck at this very
On Tue, Aug 4, 2009 at 12:05, josef.p...@gmail.com wrote:
What's going on with the response time here?
I cannot even finish reading the question and start python.
Practice. :-)
--
Robert Kern
I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible
On Tue, Aug 4, 2009 at 10:05 AM, josef.p...@gmail.com wrote:
What's going on with the response time here?
I cannot even finish reading the question and start python.
The trick is to not read the entire question. I usually reply after
reading the subj line. Or just auto-reply with x.sort()
On Tue, Aug 4, 2009 at 10:51 AM, Dave dave.hirschf...@gmail.com wrote:
David Cournapeau cournape at gmail.com writes:
On Tue, Aug 4, 2009 at 8:13 PM, David
Cournapeaudavid at ar.media.kyoto-u.ac.jp wrote:
I think I understand the problem. Unfortunately, that's looks tricky to
David Cournapeau wrote:
On Wed, Aug 5, 2009 at 12:14 AM, Andrew Friedleyafrie...@indiana.edu wrote:
Do you know where this conversion is, in the code? The impression I got
from my quick look at the code was that a wrapper sinf was defined that
just calls sin. I guess the typecast to float
On Tue, Aug 4, 2009 at 12:19, Andrew Friedleyafrie...@indiana.edu wrote:
OK, have some interesting results. First is my array creation was not
doing what I thought it was. This (what I've been doing) creates an
array of 159161 elements:
numpy.arange(0.0, 1000, (2 * 3.14159) / 1000,
Actually, Robert's really a robot (indeed, the Kernel of all robot minds) - no
way a biologic is going to beat him. ;-)
DG
--- On Tue, 8/4/09, Robert Kern robert.k...@gmail.com wrote:
From: Robert Kern robert.k...@gmail.com
Subject: Re: [Numpy-discussion] Why NaN?
To: Discussion of
On Tue, Aug 4, 2009 at 11:19 AM, Andrew Friedley afrie...@indiana.eduwrote:
David Cournapeau wrote:
On Wed, Aug 5, 2009 at 12:14 AM, Andrew Friedleyafrie...@indiana.edu
wrote:
Do you know where this conversion is, in the code? The impression I got
from my quick look at the code was
Charles R Harris wrote:
Depends on the CPU, FPU and the compiler flags. The computations could very
well be done using double precision internally with conversions on
load/store.
Sure, but if this is the case, why is the performance blowing up on
larger input values for float32 but not
Uh-oh, if my joke is going to promote wide-spread complacency, I take it back,
I take it back!
DG
--- On Tue, 8/4/09, josef.p...@gmail.com josef.p...@gmail.com wrote:
From: josef.p...@gmail.com josef.p...@gmail.com
Subject: Re: [Numpy-discussion] Why NaN?
To: Discussion of Numerical Python
On Tue, Aug 04, 2009 at 02:11:57PM -0400, josef.p...@gmail.com wrote:
On Tue, Aug 4, 2009 at 1:45 PM, David Goldsmithd_l_goldsm...@yahoo.com
wrote:
Actually, Robert's really a robot (indeed, the Kernel of all robot minds) -
no way a biologic is going to beat him. ;-)
So, what is the
This is the loveliest of all solutions:
c[isfinite(c)].mean()
You are all very helpful and funny. I am sure most of you spend more than 16
hours a day in front of or by your screens :)
On Tue, Aug 4, 2009 at 11:46 AM, Gökhan Sever gokhanse...@gmail.com wrote:
Hello,
I know this has to have
On Tue, Aug 4, 2009 at 13:40, Gökhan Severgokhanse...@gmail.com wrote:
This is the loveliest of all solutions:
c[isfinite(c)].mean()
I kind of like c[c == c].mean(), but only because it's a bit mind-blowing. :-)
You are all very helpful and funny. I am sure most of you spend more than 16
On Tuesday 04 August 2009 19:19:22 Andrew Friedley wrote:
OK, have some interesting results. First is my array creation was not
doing what I thought it was. This (what I've been doing) creates an
array of 159161 elements:
numpy.arange(0.0, 1000, (2 * 3.14159) / 1000, dtype=numpy.float32)
On Tue, Aug 04, 2009 at 01:43:54PM -0500, Robert Kern wrote:
I kind of like c[c == c].mean(), but only because it's a bit mind-blowing. :-)
You are all very helpful and funny. I am sure most of you spend more than 16
hours a day in front of or by your screens :)
Hey! I resemble that
On Tue, Aug 4, 2009 at 1:48 PM, Gael Varoquaux
gael.varoqu...@normalesup.org wrote:
On Tue, Aug 04, 2009 at 01:43:54PM -0500, Robert Kern wrote:
I kind of like c[c == c].mean(), but only because it's a bit
mind-blowing. :-)
You are all very helpful and funny. I am sure most of you spend
On Tue, Aug 4, 2009 at 14:29, Pierre GMpgmdevl...@gmail.com wrote:
On Aug 4, 2009, at 2:43 PM, Robert Kern wrote:
On Tue, Aug 4, 2009 at 13:40, Gökhan Severgokhanse...@gmail.com
wrote:
This is the loveliest of all solutions:
c[isfinite(c)].mean()
I kind of like c[c == c].mean(), but only
On Tue, Aug 04, 2009 at 01:54:49PM -0500, Gökhan Sever wrote:
I see that you should have a browser embedding plugin for Ipyhon which you
don't want to share with us :)
No, I answer e-mail using vim.
And do you only fix Mayavi issues in that not-included 2 hours?
No, during the other
On Tue, Aug 4, 2009 at 12:59 PM, Gael
Varoquauxgael.varoqu...@normalesup.org wrote:
On Tue, Aug 04, 2009 at 01:54:49PM -0500, Gökhan Sever wrote:
I see that you should have a browser embedding plugin for Ipyhon which you
don't want to share with us :)
No, I answer e-mail using vim.
Hi,
On Tue, Aug 4, 2009 at 9:31 AM, David Cournapeaucourn...@gmail.com wrote:
On Tue, Aug 4, 2009 at 8:13 PM, David
Cournapeauda...@ar.media.kyoto-u.ac.jp wrote:
I think I understand the problem. Unfortunately, that's looks tricky to
solve... I hate distutils.
Ok - should be fixed in
On Tue, Aug 4, 2009 at 15:09, Matthew Brettmatthew.br...@gmail.com wrote:
File
/home/mb312/usr/local/lib/python2.5/site-packages/numpy/distutils/command/build_ext.py,
line 74, in run
self.library_dirs.append(build_clib.build_clib)
UnboundLocalError: local variable 'build_clib'
What features does SciPy have that are absent in NumPy?
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On Tue, Aug 4, 2009 at 1:40 PM, Gökhan Severgokhanse...@gmail.com wrote:
This is the loveliest of all solutions:
c[isfinite(c)].mean()
This handling of nonfinite elements has come up before.
Please remember that this only for 1d or flatten array so it not work
in general especially along an
On Tue, Aug 4, 2009 at 1:53 PM, Bruce Southeybsout...@gmail.com wrote:
On Tue, Aug 4, 2009 at 1:40 PM, Gökhan Severgokhanse...@gmail.com wrote:
This is the loveliest of all solutions:
c[isfinite(c)].mean()
This handling of nonfinite elements has come up before.
Please remember that this
On Mon, Aug 3, 2009 at 9:42 PM, David
Cournapeauda...@ar.media.kyoto-u.ac.jp wrote:
Hi All,
I (David Cournapeau) and the people at Berkeley (Jarrod Millman,
Fernando Perez, Matthew Brett) have been in discussion so that I could
do some funded work on NumPy/SciPy. Although they are
--- On Tue, 8/4/09, Neil Martinsen-Burrell n...@wartburg.edu wrote:
What features does SciPy have that are absent in
NumPy?
Many.
And that's an understatement!
DG
SciPy includes algorithms for optimization,
solving differential
equations, numerical integration among many others.
On Tue, Aug 4, 2009 at 3:24 PM, Bruce Southey bsout...@gmail.com wrote:
On Mon, Aug 3, 2009 at 9:42 PM, David
Cournapeauda...@ar.media.kyoto-u.ac.jp wrote:
Hi All,
I (David Cournapeau) and the people at Berkeley (Jarrod Millman,
Fernando Perez, Matthew Brett) have been in discussion
--- On Tue, 8/4/09, Bruce Southey bsout...@gmail.com wrote:
[snip]
Almost a year ago Travis send an email :
'Report from SciPy'?
http://mail.scipy.org/pipermail/numpy-discussion/2008-August/036909.html
Of importance was that
* NumPy 2.0 will be a library and will not automagically
On Tue, Aug 4, 2009 at 16:49, David Goldsmithd_l_goldsm...@yahoo.com wrote:
--- On Tue, 8/4/09, Bruce Southey bsout...@gmail.com wrote:
[snip]
Almost a year ago Travis send an email :
'Report from SciPy'?
http://mail.scipy.org/pipermail/numpy-discussion/2008-August/036909.html
Of
Gotchya, thanks!
DG
--- On Tue, 8/4/09, Robert Kern robert.k...@gmail.com wrote:
From: Robert Kern robert.k...@gmail.com
Subject: Re: [Numpy-discussion] Funded work on Numpy: proposed improvements
and request for feedback
To: Discussion of Numerical Python numpy-discussion@scipy.org
Josef,
Thanks a bunch!
Masha
liu...@usc.edu
On Aug 4, 2009, at 4:01 PM, josef.p...@gmail.com wrote:
On Tue, Aug 4, 2009 at 6:36 PM, Maria Liukisliu...@usc.edu wrote:
Hello everybody,
I'm using the following versions of scipy and numpy:
scipy.__version__
'0.6.0'
On 4-Aug-09, at 2:54 PM, Gökhan Sever wrote:
I see that you should have a browser embedding plugin for Ipyhon
which you
don't want to share with us :)
Ondrej's well on his way to fixing that: http://pythonnb.appspot.com/
David
___
On Tue, Aug 4, 2009 at 7:03 PM, Maria Liukisliu...@usc.edu wrote:
Josef,
Thanks a bunch!
Masha
You're welcome.
Josef
liu...@usc.edu
On Aug 4, 2009, at 4:01 PM, josef.p...@gmail.com wrote:
On Tue, Aug 4, 2009 at 6:36 PM, Maria Liukisliu...@usc.edu wrote:
Hello
On Tue, Aug 4, 2009 at 6:49 PM, David Warde-Farley d...@cs.toronto.eduwrote:
On 4-Aug-09, at 2:54 PM, Gökhan Sever wrote:
I see that you should have a browser embedding plugin for Ipyhon
which you
don't want to share with us :)
Ondrej's well on his way to fixing that:
Hi all,
I see something similar on my system.
OK I've just done a test. System is Ubuntu 9.04 AMD64
there seems to be a regression for float32 with high values:
In [47]: a=np.random.rand(1).astype(np.float32)
In [48]: b=np.random.rand(1).astype(np.float64)
In [49]:
On Tue, Aug 4, 2009 at 7:18 PM, Jochen cycoma...@gmail.com wrote:
Hi all,
I see something similar on my system.
OK I've just done a test. System is Ubuntu 9.04 AMD64
there seems to be a regression for float32 with high values:
In [47]: a=np.random.rand(1).astype(np.float32)
In [48]:
On Tue, Aug 04, 2009 at 07:03:43PM -0500, Gökhan Sever wrote:
I would not be surprised if someone brings a real python snake into the
conference then :)
http://picasaweb.google.com/ziade.tarek/PyconFR#slideshow/5342502528927090354
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