A Monday 24 November 2008, Jarrod Millman escrigué:
On Mon, Nov 24, 2008 at 10:45 AM, Francesc Alted [EMAIL PROTECTED]
wrote:
So, IMHO, I think it would be better to rename the inverse
trigonometric functions from ``arc*`` to ``a*`` prefix. Of course,
in order to do that correctly, one
FYI,
I can't reproduce David's failures on my machine (intel core2 duo w/
10.5.5)
* python 2.6 from macports
* numpy svn 6098
* GCC 4.0.1 (Apple Inc. build 5488)
I have only 1 failure:
FAIL: test_umath.TestComplexFunctions.test_against_cmath
Pierre GM wrote:
FYI,
I can't reproduce David's failures on my machine (intel core2 duo w/
10.5.5)
* python 2.6 from macports
I think that's the main difference. I feel more and more that the
problem is linked to fat binaries (more exactly multi arch build in one
autoconf run: since
2008/11/24 Chris Barker [EMAIL PROTECTED]:
Robert Kern wrote:
Jim Vickroy wrote:
While using the PIL interface to numpy, I rediscovered a logic error
in the PIL.Image.fromarray() procedure. The problem (and a solution)
was mentioned earlier at:
Tell them that we approve of the change. We
2008/11/24 Sébastien Barthélemy [EMAIL PROTECTED]:
Are you sure ? Here it reports
ValueError: setting an array element with a sequence.
probably because theta, sintheta and costheta are 1-d arrays of n1 elements.
Sorry, I missed that detail.
Cheers
Stéfan
Exactly what I thought this morning ;)
I'm reading your PhD thesis, Chris, it's great !
Matthieu
2008/11/25 Brian Granger [EMAIL PROTECTED]:
Chris,
Wow, this is fantastic...both the BSD license and the x86 support. I
look forward to playing with this!
Cheers,
Brian
On Mon, Nov 24,
Hi,
I have a couple more changes to loadtxt() that I'd like to code up in time
for 1.3, but I thought I should run them by the list before doing too much
work. These are already implemented in some fashion in
matplotlib.mlab.csv2rec(), but the code bases are different enough, that
pretty much
On Tue, Nov 25, 2008 at 10:55 PM, David Cournapeau
[EMAIL PROTECTED] wrote:
I used the path of least resistance: instead of using the
WORDS_BIGENDIAN macro, I added a numpy header which gives the endianness
every time it is included. IOW, instead of the endianness to be fixed at
numpy build
On Tue, Nov 25, 2008 at 8:03 AM, David Cournapeau [EMAIL PROTECTED]wrote:
On Tue, Nov 25, 2008 at 10:55 PM, David Cournapeau
[EMAIL PROTECTED] wrote:
I used the path of least resistance: instead of using the
WORDS_BIGENDIAN macro, I added a numpy header which gives the endianness
every
Hi Nadav
2008/8/6 Nadav Horesh [EMAIL PROTECTED]:
I made the following modification to the source code, I hope it is ready to
be included in scipy.
Added a BSD licence declaration.
Small optimisation.
The code is split into a cython back-end and a python front-end.
All remarks are
On Nov 24, 2008, at 5:55 PM, Jarrod Millman wrote:
On Mon, Nov 24, 2008 at 10:45 AM, Francesc Alted
[EMAIL PROTECTED] wrote:
So, IMHO, I think it would be better to rename the inverse
trigonometric
functions from ``arc*`` to ``a*`` prefix. Of course, in order to do
that correctly, one
On 24 Nov 2008, at 19:45 , Francesc Alted wrote:
standards in computer science. For example, where Python writes:
asin, acos, atan, asinh, acosh, atanh
NumPy choose:
arcsin, arccos, arctan, arcsinh, arccosh, arctanh
So, IMHO, I think it would be better to rename the inverse
Ryan,
FYI, I've been coding over the last couple of weeks an extension of
loadtxt for a better support of masked data, with the option to read
column names in a header. Please find an example below (I also have
unittest). Most of the work is actually inspired from matplotlib's
All,
Sorry to bump my own post, and I was kinda threadjacking anyway:
Some functions of numy.ma (eg, ma.max, ma.min...) accept explicit
outputs that may not be MaskedArrays.
When such an explicit output is not a MaskedArray, a value that should
have been masked is transformed into np.nan.
Pierre GM wrote:
FYI, I've been coding over the last couple of weeks an extension of
loadtxt for a better support of masked data, with the option to read
column names in a header. Please find an example below
great, thanks! this could be very useful to me.
Two comments:
missing : string,
On Wed, Nov 26, 2008 at 12:59 AM, Charles R Harris
[EMAIL PROTECTED] wrote:
Apart from the Mac, the ppc can be configured to run either bigendian or
littleendian, so the hardware encompasses more than just the cpu, it's the
whole darn board.
Yep, many CPU families have double endian support
On Nov 25, 2008, at 12:30 PM, Christopher Barker wrote:
missing : string, optional
A string representing a missing value, irrespective of the
column where it appears (e.g., ``'missing'`` or ``'unused'``.
It might be nice if missing could be a sequence of strings, if there
is
Pierre GM wrote:
would it possible to specify column header, rather than number here?
A la mlab.csv2rec ?
I'll have to take a look at that.
following John Hunter's et al. path. What happens when the column
names are unknown (read from the header) or wrong ?
well, my use case is that I
Thx Pierre,
don't worry about it it's not a show stopper at all
C.
On Nov 24, 2008, at 12:04 PM, Pierre GM wrote:
Charles,
Confirmed on my machine...
I gonna have to clean ma.sort, as there are indeed some temporaries
that probably don't need to be created. I must warn you however that I
Pierre GM wrote:
Ryan,
FYI, I've been coding over the last couple of weeks an extension of
loadtxt for a better support of masked data, with the option to read
column names in a header. Please find an example below (I also have
unittest). Most of the work is actually inspired from
On Nov 25, 2008, at 2:06 PM, Ryan May wrote:
1) It looks like the function returns a structured array rather than a
rec array, so that fields are obtained by doing a dictionary access.
Since it's a dictionary access, is there any reason that the header
needs to be munged to replace
On Tue, Nov 25, 2008 at 12:16 PM, Pierre GM [EMAIL PROTECTED] wrote:
A la mlab.csv2rec ? It could work with a bit more tweaking, basically
following John Hunter's et al. path. What happens when the column names are
unknown (read from the header) or wrong ?
Actually, I'd like John to comment
Pierre GM wrote:
On Nov 25, 2008, at 2:06 PM, Ryan May wrote:
1) It looks like the function returns a structured array rather than a
rec array, so that fields are obtained by doing a dictionary access.
Since it's a dictionary access, is there any reason that the header
needs to be munged to
On Nov 25, 2008, at 2:26 PM, John Hunter wrote:
Yes, I've said on a number of occasions I'd like to see these
functions in numpy, since a number of them make more sense as numpy
methods than as stand alone functions.
Great. Could we think about getting that on for 1.3x, would you have
time
On Nov 25, 2008, at 2:37 PM, Ryan May wrote:
What about doing the parsing and type inference in a loop and holding
onto the already split lines? Then loop through the lines with the
converters that were finally chosen? In addition to making my usecase
work, this has the benefit of not doing
It shouldn't create any *extra* temporaries since we already make a
list
of lists before creating the final array. It just introduces an extra
looping step. (I'd reuse the existing list of lists).
Cool then, go for it.
If my understanding of
StringConverter is correct, tweaking the
Pierre GM wrote:
Nope, we still need to double check whether there's any missing data
in any field of the line we process, independently of the conversion.
So there must be some extra loop involved, and I'd need a special
function in numpy.ma to take care of that. So our options are
*
On Nov 25, 2008, at 3:33 PM, Ryan May wrote:
You couldn't run this loop on the array returned by np.loadtxt() (by
masking on the appropriate fill value)?
Yet an extra loop... Doable, yes... But meh.
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On Tue, Nov 25, 2008 at 2:01 PM, Pierre GM [EMAIL PROTECTED] wrote:
On Nov 25, 2008, at 2:26 PM, John Hunter wrote:
Yes, I've said on a number of occasions I'd like to see these
functions in numpy, since a number of them make more sense as numpy
methods than as stand alone functions.
OK then, I'll take care of that over the next few weeks...
On Nov 25, 2008, at 4:56 PM, John Hunter wrote:
On Tue, Nov 25, 2008 at 2:01 PM, Pierre GM [EMAIL PROTECTED]
wrote:
On Nov 25, 2008, at 2:26 PM, John Hunter wrote:
Yes, I've said on a number of occasions I'd like to see these
John Hunter wrote:
On Tue, Nov 25, 2008 at 12:16 PM, Pierre GM [EMAIL PROTECTED] wrote:
A la mlab.csv2rec ? It could work with a bit more tweaking, basically
following John Hunter's et al. path. What happens when the column names are
unknown (read from the header) or wrong ?
Actually,
Pierre GM wrote:
OK then, I'll take care of that over the next few weeks...
Thanks Pierre.
-Travis
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Oh don't mention...
However, I'd be quite grateful if you could give an eye to the pb of
mixing np.scalars and 0d subclasses of ndarray: looks like it's a C
pb, quite out of my league...
http://scipy.org/scipy/numpy/ticket/826
Pierre GM wrote:
Sounds like a plan. Wouldn't mind getting more feedback from fellow
users before we get too deep, however...
Ok, I've attached, as a first cut, a diff against SVN HEAD that does (I
think) what I'm looking for. It passes all of the old tests and passes
my own quick test. A
Ryan,
Quick comments:
* I already have some unittests for StringConverter, check the file I
attach.
* Your str2bool will probably mess things up in upgrade compared to
the one JDH had written (the one I send you): you don't wanna use
int(bool(value)), as it'll always give you 0 or 1 when
On Tue, Nov 25, 2008 at 5:00 PM, Pierre GM [EMAIL PROTECTED] wrote:
snip
All, another question:
What's the best way to have some kind of sandbox for code like the one Ryan
is writing ? So that we can try it, modify it, without commiting anything to
SVN yet ?
Probably make a branch and do
Back in the beginning of the summer, I jumped through a lot of hoops to
build numpy+scipy on solaris, 64-bit with gcc. I received a lot of help from
David C., and ended up, by some very ugly hacking, building an acceptable
numpy+scipy+matplotlib trio for use at my company.
However, I'm back at it
On Tue, Nov 25, 2008 at 4:54 PM, Peter Norton
[EMAIL PROTECTED] wrote:
Back in the beginning of the summer, I jumped through a lot of hoops to
build numpy+scipy on solaris, 64-bit with gcc. I received a lot of help from
David C., and ended up, by some very ugly hacking, building an acceptable
Pierre GM wrote:
Ryan,
Quick comments:
* I already have some unittests for StringConverter, check the file I
attach.
Ok, great.
* Your str2bool will probably mess things up in upgrade compared to the
one JDH had written (the one I send you): you don't wanna use
int(bool(value)), as
On Nov 25, 2008, at 10:02 PM, Ryan May wrote:
Pierre GM wrote:
* Your locked version of update won't probably work either, as you
force
the converter to output a string (you set the status to largest
possible, that's the one that outputs strings). Why don't you set the
status to the
Pierre GM wrote:
On Nov 25, 2008, at 10:02 PM, Ryan May wrote:
Pierre GM wrote:
* Your locked version of update won't probably work either, as you
force
the converter to output a string (you set the status to largest
possible, that's the one that outputs strings). Why don't you set the
Hi,
I'm running on a 64-bit machine, and see the following:
numpy.array(64.6).dtype
dtype('float64')
numpy.array(64).dtype
dtype('int64')
Is there any function/setting to make these default to 32-bit types
except where necessary? I don't mean by specifying dtype=numpy.float32
or
On Tue, Nov 25, 2008 at 21:57, Ryan May [EMAIL PROTECTED] wrote:
Hi,
I'm running on a 64-bit machine, and see the following:
numpy.array(64.6).dtype
dtype('float64')
numpy.array(64).dtype
dtype('int64')
Is there any function/setting to make these default to 32-bit types
except where
Charles R Harris wrote:
What happens if you go the usual python setup.py {build,install} route?
Won't go far since it does not handle sunperf.
David
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Pierre GM wrote:
On Nov 25, 2008, at 10:02 PM, Ryan May wrote:
Pierre GM wrote:
* Your locked version of update won't probably work either, as you
force
the converter to output a string (you set the status to largest
possible, that's the one that outputs strings). Why don't you set the
I'm pleased to announce the first beta release of SciPy 0.7.0.
SciPy is a package of tools for science and engineering for Python.
It includes modules for statistics, optimization, integration, linear
algebra, Fourier transforms, signal and image processing, ODE solvers,
and more.
This beta
Is there a 2D phase unwrapping for python?
I read a presentation by GERI (http://www.ljmu.ac.uk/GERI) that their code is
implemented in scipy, but I could not find it.
Nadav.
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On Wed, Nov 26, 2008 at 8:54 AM, Peter Norton
[EMAIL PROTECTED] wrote:
scons: warning: Ignoring missing SConscript
'build/scons/numpy/core/SConscript'
File
/usr/local/python-2.5.1/lib/python2.5/site-packages/numscons-0.9.4-py2.5.egg/numscons/core/numpyenv.py,
line 108, in
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