On Tue, Jan 20, 2009 at 20:57, Neal Becker ndbeck...@gmail.com wrote:
I see the problem. Thanks for the great profiler! You ought to make this
more widely known.
http://pypi.python.org/pypi/line_profiler
--
Robert Kern
I have come to believe that the whole world is an enigma, a harmless
A Tuesday 20 January 2009, Andrew Collette escrigué:
Works much, much better with the current svn version. :) Numexpr now
outperforms everything except the simple technique, and then only
for small data sets.
Correct. This is because of the cost of parsing the expression and
initializing the
Hi everyone,
I need to use a bitwise array, and I wanted to check what is the common
practice using numpy.
I expect to read binary strings (like '001101') of equal length from file
and to save and manipulate them using numpy. I know that numpy have good
implementations of bitwise
T J wrote:
On Tue, Jan 20, 2009 at 6:57 PM, Neal Becker ndbeck...@gmail.com wrote:
It seems the big chunks of time are used in data conversion between numpy
and my own vectors classes. Mine are wrappers around boost::ublas. The
conversion must be falling back on a very inefficient method
Hi all,
Is it possible to add a certain number of blanks behind
the
second column in connection with savetxt ?
from numpy.random import rand
from numpy import savetxt
A = rand(100,2)
savetxt('noblanks.dat',A,fmt='%10.2f %10.2f')
Nils
___
Robert Kern wrote:
On Tue, Jan 20, 2009 at 20:57, Neal Becker ndbeck...@gmail.com wrote:
I see the problem. Thanks for the great profiler! You ought to make
this more widely known.
I'll be making a release shortly.
It seems the big chunks of time are used in data conversion between
Hi Muhammad
2009/1/21 Muhammad Alkarouri malkaro...@yahoo.co.uk:
I need to use a bitwise array, and I wanted to check what is the common
practice using numpy.
You can also take a look at Ilan Schnell's bitarray:
http://pypi.python.org/pypi/bitarray/
Cheers
Stéfan
On 1/21/2009 1:27 PM, Neal Becker wrote:
It might if I had used this for all of my c++ code, but I have a big library
of c++ wrapped code that doesn't use pyublas. Pyublas takes numpy objects
from python and allows the use of c++ ublas on it (without conversion).
If you can get a pointer
On 1/21/2009 2:38 PM, Sturla Molden wrote:
If you can get a pointer (as integer) to your C++ data, and the shape
and dtype is known, you may use this (rather unsafe) 'fromaddress' hack:
And opposite, if you need to get the address referenced to by an
ndarray, you can do this:
def
Hi Neal,
On Wednesday 21 January 2009 07:27:04 Neal Becker wrote:
It might if I had used this for all of my c++ code, but I have a big
library of c++ wrapped code that doesn't use pyublas. Pyublas takes numpy
objects from python and allows the use of c++ ublas on it (without
conversion).
--- On Wed, 21/1/09, Stéfan van der Walt ste...@sun.ac.za wrote:
From: Stéfan van der Walt ste...@sun.ac.za
...
You can also take a look at Ilan Schnell's bitarray:
http://pypi.python.org/pypi/bitarray/
Looks good to me. Thanks for the suggestion.
Muhammad
Ravi wrote:
Hi Neal,
On Wednesday 21 January 2009 07:27:04 Neal Becker wrote:
It might if I had used this for all of my c++ code, but I have a big
library of c++ wrapped code that doesn't use pyublas. Pyublas takes
numpy objects from python and allows the use of c++ ublas on it (without
Ravi wrote:
Hi Neal,
On Wednesday 21 January 2009 07:27:04 Neal Becker wrote:
It might if I had used this for all of my c++ code, but I have a big
library of c++ wrapped code that doesn't use pyublas. Pyublas takes
numpy objects from python and allows the use of c++ ublas on it (without
Muhammad Alkarouri wrote:
--- On Wed, 21/1/09, Stéfan van der Walt ste...@sun.ac.za wrote:
From: Stéfan van der Walt ste...@sun.ac.za
...
You can also take a look at Ilan Schnell's bitarray:
http://pypi.python.org/pypi/bitarray/
Looks good to me. Thanks for the
On Wednesday 21 January 2009 10:22:36 Neal Becker wrote:
[http://mail.python.org/pipermail/cplusplus-sig/2008-October/013825.html
Thanks for reminding me about this!
Do you have a current version of the code? I grabbed the files from the
above message, but I see some additional subsequent
On Jan 21, 2009, at 11:34 AM, Darren Dale wrote:
I have a simple test script here that multiplies an ndarray subclass
with another number. Can anyone help me understand why each of these
combinations returns a new instance of MyArray:
mine = MyArray()
print type(np.float32(1)*mine)
On Wed, Jan 21, 2009 at 11:43 AM, Pierre GM pgmdevl...@gmail.com wrote:
On Jan 21, 2009, at 11:34 AM, Darren Dale wrote:
I have a simple test script here that multiplies an ndarray subclass
with another number. Can anyone help me understand why each of these
combinations returns a new
Neal Becker wrote:
I tried a little experiment, implementing some code in numpy
It sounds like you've found your core issue, but a couple comments:
from numpy import *
I'm convinced that import * is a bad idea. I think the standard
syntax is now import numpy as np
from math import pi
Robert-- this is a great little piece of code, I already think it will be a
part of my workflow. However, I seem to be getting negative % time taken on
the more time consuming lines, perhaps getting some overflow?
Thanks a lot,
Wes
On Wed, Jan 21, 2009 at 3:23 AM, Robert Kern
Installing on a Sun machine with Red Hat linux, I got the following
error:
==
FAIL: test_umath.TestComplexFunctions.test_against_cmath
--
Traceback (most
Hi,
I get identical results for both shapes now; I manually removed the
numexpr-1.1.1.dev-py2.5-linux-i686.egg folder in site-packages and
reinstalled. I suppose there must have been a stale set of files
somewhere.
Andrew Collette
On Wed, Jan 21, 2009 at 3:41 AM, Francesc Alted
Ravi wrote:
On Wednesday 21 January 2009 10:22:36 Neal Becker wrote:
[http://mail.python.org/pipermail/cplusplus-sig/2008-
October/013825.html
Thanks for reminding me about this!
Do you have a current version of the code? I grabbed the files from the
above message, but I see some
Ravi wrote:
On Wednesday 21 January 2009 10:22:36 Neal Becker wrote:
[http://mail.python.org/pipermail/cplusplus-sig/2008-
October/013825.html
Thanks for reminding me about this!
Do you have a current version of the code? I grabbed the files from the
above message, but I see some
hi, i'm using the new genfromtxt stuff in numpy svn, looks great
pierre any who contributed.
is there a way to have the header commented and still be able to have
it recognized as the header? e.g.
#gender age weight
M 21 72.10
F 35 58.33
M 33 21.99
if i use np.loadtxt or
Brent,
Currently, no, you won't be able to retrieve the header if it's
commented.
I'll see what I can do.
P.
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On Wednesday 21 January 2009 13:55:49 Neal Becker wrote:
I'm only interested in simple strided 1-d vectors. In that case, I think
your code already works. If you have c++ code using the iterator
interface, the iterators dereference will use (*array )[index]. This will
use operator[], which
Ravi wrote:
On Wednesday 21 January 2009 13:55:49 Neal Becker wrote:
I'm only interested in simple strided 1-d vectors. In that case, I think
your code already works. If you have c++ code using the iterator
interface, the iterators dereference will use (*array )[index]. This
will use
On Wednesday 21 January 2009 14:57:59 Neal Becker wrote:
ublas::vectorT func (numpy::array_from_pyT::type const)
But not for a function that modifies it arg in-place ( instead of const):
void func (numpy::array_from_pyT::type )
Use void func
On Wed, Jan 21, 2009 at 15:13, Neal Becker ndbeck...@gmail.com wrote:
Would be handy to not have to add/remove @profile to switch between
profiling/normal operation.
When run without profiler, @profile is redefined to do nothing. Possible?
I could add a --noop flag to kernprof, which
On Wed, Jan 21, 2009 at 12:13, Wes McKinney wesmck...@gmail.com wrote:
Robert-- this is a great little piece of code, I already think it will be a
part of my workflow. However, I seem to be getting negative % time taken on
the more time consuming lines, perhaps getting some overflow?
That's
On Wed, Jan 21, 2009 at 15:35, Neal Becker ndbeck...@gmail.com wrote:
Robert Kern wrote:
On Wed, Jan 21, 2009 at 15:13, Neal Becker ndbeck...@gmail.com wrote:
Would be handy to not have to add/remove @profile to switch between
profiling/normal operation.
When run without profiler, @profile
Just installed numpy 1.2.0 and got this:
$ python -c 'import numpy; numpy.test()'
Running unit tests for numpy-1.2.0-py2.5-macosx-10.5-i386.egg.numpy
NumPy version 1.2.0
NumPy is installed in
/Users/bgranger/Library/Python/2.5/site-packages/numpy-1.2.0-py2.5-macosx-10.5-i386.egg/numpy
Python
On Wed, Jan 21, 2009 at 22:24, Brian Granger ellisonbg@gmail.com wrote:
Just installed numpy 1.2.0 and got this:
$ python -c 'import numpy; numpy.test()'
Running unit tests for numpy-1.2.0-py2.5-macosx-10.5-i386.egg.numpy
easy_install sets the executable bit on files and nose ignores
Brent,
Mind trying r6330 and let me know if it works for you ? Make sure that
you use names=True to detect a header.
P.
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On Wed, Jan 21, 2009 at 9:39 PM, Pierre GM pgmdevl...@gmail.com wrote:
Brent,
Mind trying r6330 and let me know if it works for you ? Make sure that
you use names=True to detect a header.
P.
yes, works perfectly.
thanks!
-brent
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I have been using your profiler extensively and it has contributed to my
achieving significant improvements in the application I work on largely due
to the usefulness of the line by line breakdown enabling me to easily select
the next part of code to work on optimizing. So firstly many thanks for
On Thu, Jan 22, 2009 at 01:46, Hanni Ali hanni@gmail.com wrote:
I have been using your profiler extensively and it has contributed to my
achieving significant improvements in the application I work on largely due
to the usefulness of the line by line breakdown enabling me to easily select
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