y.org/
> best regards
This may not be the best place to ask, but how should a
python script (e.g. setup.py) distinguish between real NumPy
and micronumpy? Or should I instead be looking to distinguish
PyPy versus another Python implementation?
Peter
B = mod.meth(C, prob=.95)
>
> is ith possible to return two arrays?
>
> best regards
Yes, return a tuple of two elements. e.g.
def make_range(center, spread):
return center-spread, center+spread
low, high = make_range(5,1)
assert low == 4
assert high == 6
Peter
be used to similarly
good effect for the SciPy
Cheers,
Peter
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NORE and bitpattern vs mask are completely independent. Any
>> combination of NA as bitpattern, NA as mask, IGNORE as bitpattern, and
>> IGNORE as mask are reasonable.
This point as I understood it is there is the semantics of the special values
(not available vs ignore), and there is the im
and products act with NA
(since you do so for the IGNORE case).
Thanks,
Peter
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here we have had users asking for 64bit installers. We
need an official NumPy installer to build against.
Regards,
Peter
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ition when using np.histogram(x):
max(x) == top bin limit
---
Re: [Numpy-discussion] np.histogram: upper range bin
Christopher Barker
Thu, 02 Jun 2011 09:19:16 -0700
Peter Butterworth wrote:
> in np.histogram the top-most bin edge is inclusive of the upper range
> limit. As documented in the doc
ch *includes*
4.
'''
--
thanks,
peter butterworth
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is not mentioned on that page that lexsort is a stable sort.
. no structured array / recarray example is given
. it also states that "Structured arrays are sorted lexically by
argsort", but fails to mention that the resulting sort is not stable.
--
thanks,
peter butterworth
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I will be there tonight through Sunday night.
I posted on Convore about a Visualization BoF, which may be of
interest to folks in the numpy/scipy crowd:
https://convore.com/pycon-2011/python-visualization-bof/
See you all there!
-Peter
On Mon, Mar 7, 2011 at 3:53 AM, Gökhan Sever wrote
On Sat, Jan 22, 2011 at 5:43 PM, Ralf Gommers wrote:
>
> On Sat, Jan 22, 2011 at 10:20 PM, Peter wrote:
>> We're currently pointing people on 64 bit Windows towards Christoph
>> Gohlke's unofficial builds. I'd be quite happy if Christoph's 64bit NumPy
&g
On Sat, Jan 22, 2011 at 12:28 PM, Ralf Gommers
wrote:
>
> On Wed, Jan 19, 2011 at 1:24 AM, Peter
> wrote:
>>
>> On Tue, Jan 18, 2011 at 1:02 PM, Charles R Harris
>> wrote:
>> > I believe the problem has been been 64 bit fortran for ATLAS, the mingw
>>
or official non-ATLAS
binaries as a short term solution?
I'm thinking also of 3rd party Python libraries that use NumPy, and if
they/we can ship a win64 installer if NumPy doesn't.
Peter
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Hi all,
Are there plans to provide official 64bit Windows installers for NumPy?
I'm aware that Christoph Gohlke had been able to do this, since
he offers unofficial plain builds and MKL builds for NumPy here:
http://www.lfd.uci.edu/~gohlke/pythonlibs/
Regards,
themselves compiled from source).
Peter
P.S. You forgot to reference the thread, for those that missed it see:
http://mail.scipy.org/pipermail/numpy-discussion/2011-January/054486.html
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http://
for Jython (just using pure
Python) as long as it provided the basic data structures and some
core functionality. I'm thinking here of other Python libraries that
use NumPy, but don't necessarily need it for speed reasons alone.
Peter
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On Wed, Dec 22, 2010 at 1:53 PM, Neal Becker wrote:
>
> Peter wrote:
>
>> On Wed, Dec 22, 2010 at 1:08 PM, Neal Becker wrote:
>>>
>>> Is the formatting of savetxt available with a string as the destination?
>>>
>>> If not, shouldn't this
On Wed, Dec 22, 2010 at 1:08 PM, Neal Becker wrote:
>
> Is the formatting of savetxt available with a string as the destination?
>
> If not, shouldn't this functionality be factored out of savetxt?
>
Have you tried using a Str
U
which is little-endian.
Is your Tiger (10.4) machine a PowerPC CPU? That would be big-endian,
and therefore would write the floats to disk reversed compared to what
a little-endian machine would expect.
Peter
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Nu
ion argmin() returns an index, which is implemented as
'Py_ssize_t' in C and is 64 bit on all 64 bit systems.
--
Christoph
--
thanks,
peter butterworth
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xpected result on 64 bit numpy is what I get on Ubuntu
with np 2.0.0 dev :
>>> np.dtype(int)
dtype('int64')
Could someone please confirm this ?
--
thanks,
peter butterworth
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n't get the very latest versions.
> Having unpacked numpy and running the standard commnad in idle
Could you clarify what you did? You don't just unpack the archive and use
it as it - there is C code that must be compiled etc.
Peter
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Just FYI:
The DEV_README.txt file needs a trivial update to talk about git not SVN
http://github.com/numpy/numpy/blob/master/DEV_README.txt
Regards,
Peter
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In numpy 1.5.0, I got the following for mean of an empty sequence (or array):
In [21]: mean([])
Warning: invalid value encountered in double_scalars
Out[21]: nan
Is this behaviour expected ?
Also, would it be possible to have more explicit warning messages about the
problem being related numpy
Hey Josef,
I didn't stumble upon these posts. Thanks for the hint...it doesn't look
very pythonic or matlab like still. This would be a nice thing to have a
unique function that is able to take an axis argument.
Cheers.
Peter
josef.p...@gmail.com wrote:
> On Tue, Sep 21, 2010 at 2
;d like to get this :
[[409 152]
[426 193]
[431 129]]
How can I do this without workarounds like string concatenation or such
things? Numpy.unique flattens the whole array so it's not really of use
here.
Cheers.
-- Peter Schmidtke
PhD Student
Dept. Physical Chemistry
Faculty of Pharmac
On Wed, Sep 15, 2010 at 3:34 PM, Benjamin Root wrote:
> On Wed, Sep 15, 2010 at 8:28 AM, Ralf Gommers
> wrote:
>>
>>
>> On Fri, Sep 10, 2010 at 12:05 AM, Peter
>>> http://docs.python.org/library/warnings.html#updating-code-for-new-versions-of-python
>>>
code suddenly stops working.
Potentially NumPy would have to introduce its own NumPy
specific DeprecationWarning warning class, and use that.
Peter
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987
>
> Is there any way to solve this?
One simple way is to put brackets round the integer subtraction,
>>> 0.001 + 1 - 1 == 0.001
False
>>> 0.001 + (1 - 1) == 0.001
True
However, in general comparing floating point numbers is tricky
and a complex issue in numerical compu
On 29/07/2010, at 19:01, Pauli Virtanen wrote:
> Thu, 29 Jul 2010 18:45:38 +0200, Peter Schmidtke wrote:
>> I am trying to install manually the latest releases of scipy and numpy
>> on Mac OSX 10.6 Snow Leopard. I previously used the dmg installer that
>> is available, but
should I use? I already use the newest release and I cannot go for the
svn version as pycuda won't work as it should anymore.
Thanks in advance for your lights on this.
Peter Schmidtke
-
PhD Student
Department of Physical Chemistry
School of Pharmacy
University of Barc
umpy 1.4.x on PyPi which checks for
Python 2.7 and aborts with a message suggesting waiting for NumPy
1.5.x or using Python 2.6 instead?
Peter
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"A release for python 2.7?", and
the conclusion was we'd have to wait for Numpy 1.5, probably in
August.
Peter
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On Fri, Jul 9, 2010 at 4:27 PM, Christoph Gohlke wrote:
> On 7/9/2010 7:11 AM, Peter wrote:
>> I was going to ask if someone could build Windows installers for
>> NumPy 1.4.1 on Python 2.7 (to facilitate 3rd party packages which
>> use NumPy and want to support Python 2.7 o
1.4.0. This leaves either the EPD or the combination of numpy
1.4.0/matplotlib 0.99.3 on Ubuntu.
I've never tried installing from the source, maybe that's where it's
heading.
Cheers,
Peter
- Original Message -
From: Pauli Virtanen
Date: Saturday, July 10, 2010 7:03 pm
John Hunter wrote:
> On Fri, Jul 9, 2010 at 8:03 PM, Peter Isaac wrote:
>
>> Note that EPD-6.2-2 works fine with this script on WinXP.
>>
>
>
>> Any suggestions welcome
>>
>
> then just use epd-6.2.2 on winxp.
>
>
-2 works fine
with this script on WinXP.
Any suggestions welcome and happy to supply further details if required.
Yours in masked confusion,
Peter
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the near
> future?
>
> Thanks
>
> Jon
Hi,
I was going to ask if someone could build Windows installers for
NumPy 1.4.1 on Python 2.7 (to facilitate 3rd party packages which
use NumPy and want to support Python 2.7 on Windows).
Thanks,
Peter
___
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lement at a
> time, but struct doesn't have an unpack_farray version like xdrlib
> does. I also thought of using the array module and .byteswap() but
> the help says it only work on 4 and 8 byte arrays.
I'm unclear if you want a numpy array or a standard library array,
but can yo
get the a,b and c coefficients?
Thanks in advance.
--
Peter Schmidtke
--
PhD Student at the Molecular Modeling and Bioinformatics Group
Dep. Physical Chemistry
Faculty of Pharmacy
University of Barcelona
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On 04/14/2010 11:34 PM, Nadav Horesh wrote:
> import numpy as N
> N.repeat(N.arange(len(a)), a)
>
>Nadav
>
> -Original Message-
> From: numpy-discussion-boun...@scipy.org on behalf of Peter Shinners
> Sent: Thu 15-Apr-10 08:30
> To: Discussion of Numeric
I am using digitize to create a list of indices. This is giving me
exactly what I want, but it's terribly slow. Digitize is obviously not
the tool I want for this case, but what numpy alternative do I have?
I have an array like np.array((4, 3, 3)). I need to create an index
array with each inde
Is there a way to combine two 1D arrays with the same size into a 2D
array? It seems like the internal pointers and strides could be
combined. My primary goal is to not make any copies of the data. It
might be doable with a bit of ctypes if there is not a native numpy call.
>>> import numpy as
On 04/13/2010 11:44 PM, Gökhan Sever wrote:
On Wed, Apr 14, 2010 at 1:34 AM, Warren Weckesser
<mailto:warren.weckes...@enthought.com>> wrote:
Gökhan Sever wrote:
>
>
> On Wed, Apr 14, 2010 at 1:10 AM, Peter Shinners
mailto:p...@shinners.or
I have an array that represents the number of times a value has been
given. I'm trying to find a direct numpy way to add into these sums
without requiring a Python loop.
For example, say there are 10 possible values. I start with an array of
zeros.
>>> counts = numpy.zeros(10, numpy.int)
Now
On Mon, Apr 12, 2010 at 10:22 PM, Robert Kern wrote:
>
>Peter wrote:
>>
>> Why is the new property "filename" and not "name" to match
>> the way the Python handle work? e.g.
>>
>>>>> handle = open("Documents/review.pdf")
me" to match
the way the Python handle work? e.g.
>>> handle = open("Documents/review.pdf")
>>> handle.name
'Documents/review.pdf'
I concede that "filename" is more explicit, but there is something
to be said for consistency as well.
Peter
___
, '-xW', '-arch SSE2']
> object_switch = '-o '
> ranlib = ['ranlib']
> version = None
> version_cmd = ['/opt/intel/Compiler/11.0/083/bin/intel64/ifort', '-FI
> -V -c /tmp/tmpx6
On 02/28/2010 10:58 PM, Pierre GM wrote:
> On Mar 1, 2010, at 1:02 AM, Peter Shinners wrote:
>
>>> Here is the code as I would like it to work.
>>>
>> http://python.pastebin.com/CsEnUrSa
>>
>>
>> import numpy as np
>>
>> v
On 02/28/2010 08:01 PM, Pierre GM wrote:
> On Feb 28, 2010, at 8:59 PM, Peter Shinners wrote:
>
>> I have a 2D masked array that has indices into a 1D array. I want to use
>> some form of "take" to fetch the values into the 2D array. I've tried
>> both
I have a 2D masked array that has indices into a 1D array. I want to use
some form of "take" to fetch the values into the 2D array. I've tried
both numpy.take and numpy.ma.take, but they both return a new unmasked
array.
I can get it working by converting the take results into a masked array
a
On 02/24/2010 11:48 PM, Friedrich Romstedt wrote:
> 2010/2/25 Peter Shinners:
>
>> I want a function that works like cumsum, but starts at zero, instead of
>> starting with the first actual value.
>>
>> [...]
>>
>> tallies = np.cumsum(initial_array)
&
On 02/24/2010 09:00 PM, Robert Kern wrote:
> On Wed, Feb 24, 2010 at 22:53, Peter Shinners wrote:
>
>> I want a function that works like cumsum, but starts at zero, instead of
>> starting with the first actual value.
>>
>> For example; I have an array with [4,3,3
I want a function that works like cumsum, but starts at zero, instead of
starting with the first actual value.
For example; I have an array with [4,3,3,1].
Cumsum will give me an array with [4,7,10,11].
I want an array that is like [0,4,7,8].
It looks like I could indirectly do this:
tallies =
I have made an extension that also uses numpy.
I developed with Python 2.6 and numpy 1.4.0
This works all fine.
The problem is that users that use this extension get crahes from the moment
they use the extension and this because of numpy. It crashes when numpy is
initialised.
This because those us
endianness at runtime");
return -1;
}
#endif
return 0;
}
As you can see, this routine is doing the same at the beginning with additional
tests and the return value indicates if ok or not.
So I only had to call PyErr_Clear(); when it failes and the problem is solved.
Thanks for you
0 and the error is
probably still hanging and then given later.
I will try this this evening.
Thank you for the hints.
Peter
On Wed, Feb 3, 2010 at 4:22 PM, Robert Kern wrote:
> On Wed, Feb 3, 2010 at 03:41, David Cournapeau wrote:
> > On Wed, Feb 3, 2010 at 5:38 PM, Peter N
>From an extension? How to import numpy from there and then test if that
succeeded and that without any annoying message if possible...
Thanks,
Peter
On Wed, Feb 3, 2010 at 1:34 AM, David Cournapeau wrote:
> Peter Notebaert wrote:
>
> > How can I test if numpy is installed on
Hello,
I have written a C-extension for python that uses arrays from python, does
calculations on them and returns a result on that.
I have now also added the possibility to provide numpy arrays. However this is
not a requirement. Python arrays (lists) are still allowed also. I check in the
C-
nnie.m.wh...@gmail.com
-
*Web*: http://sahanapy.org/
-
Please help if you can.
-Peter Clarke
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nd or I'm doing something wrong since the basic numpy
documentation is created with sphinx! Suggestions?
I'm using sphinx v1.0, numpy v1.3.0, and numpydoc v0.3.1on Redhat
Enterprise 5.x.
Big thanks,
Peter
ps - I'm sending this question to both Numpy-discussion and
sphinx-...@googlegr
Thanks, I've read some explanations on wikipedia and finally found out
how to solve homogeneous equations by singular value decomposition.
On Thu, Dec 3, 2009 at 10:24 PM, Lou Pecora wrote:
> From: Peter Cai
> To: Discussion of Numerical Python
> Sent: Thu, December 3, 2
Harris
wrote:
>
>
> On Wed, Dec 2, 2009 at 10:40 PM, Peter Cai wrote:
>
>> How to solve homogeneous linear equations with NumPy?
>>
>>
>>
>> If I have homogeneous linear equations like this
>>
>> array([[-0.75, 0.25, 0.25, 0.25],
>>
How to solve homogeneous linear equations with NumPy?
If I have homogeneous linear equations like this
array([[-0.75, 0.25, 0.25, 0.25],
[ 1. , -1. , 0. , 0. ],
[ 1. , 0. , -1. , 0. ],
[ 1. , 0. , 0. , -1. ]])
And I want to get a non-zero solution for
they were different trees.
>
> This is slow, takes a bunch of memory, and I then have to parse out the
> list to find the ones that are paired up.
>
> Is there a way to get just the close ones from the single tree?
>
> thanks,
>
> -Chris
--
Peter Schmidtke
-
5.5, 6.1, 3. , 5.5, 2. , 6.5])
You can reshape this array to a 3x3 matrix using the reshape function ->
x.reshape((3,3))
--
Peter Schmidtke
--
PhD Student at the Molecular Modeling and Bioinformatics Group
Dep. Physi
Have you tried the numpy.fromfile function? This usually worked great for
my files that had the same format than yours.
++
Peter
--
PhD Student at the Molecular Modeling and Bioinformatics Group
Dep. Physical Chemistry
Faculty of Pharmacy
University of Barcelona
> Date: Wed, 28 Oct 2009 20:31:43 +0100
> From: Peter Schmidtke
> Subject: [Numpy-discussion] reading gzip compressed files using
> numpy.fromfile
> To: numpy-discussion@scipy.org
> Message-ID:
> Content-Type: text/plain; charset="UTF-8"
>
> Dear Nump
les are rather big, so I simply have to
avoid this.
Thanks in advance.
--
Peter Schmidtke
--
PhD Student at the Molecular Modeling and Bioinformatics Group
Dep. Physical Chemistry
Faculty of Pharmacy
University of Barcelona
pect
instead of numpy.lib.inspect to make it clear this new module is private?
Peter
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he protocol by
> reading it into a numpy array with a dtype matching the structure of
> the data being sent, and calling, for example ...
Have you considered using the Python struct module? If your "buffer
of data" is a mixture of fields, this might b
.
I have found that system_info.py explicitly selects threaded versions
of libatlas and liblapack on FreeBSD but have been unable to find any
rationale behind this in the available SVN logs.
--
Peter Jeremy
pgpwJhIADoJPB.pgp
Description: PGP signature
other entries in the "From existing data" section here?
http://docs.scipy.org/doc/numpy/reference/routines.array-creation.html
This looks like a simple improvement to the documentation...
Peter
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of options to
benchmark now :)
Thank you,
Peter
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found this works:
>>> numpy.frombuffer("ABCDEF", numpy.byte)
array([65, 66, 67, 68, 69, 70], dtype=int8)
But why don't these work too?
>>> numpy.array("ABCDEF", numpy.byte)
Traceback (most recent call last):
...
ValueError: setting an array
Hi all,
I see life in a feature I've been dreaming about for years now. :-)
I'm wondering how stable this branch is and if it's ready for playing with.
I ask because I'm (once again) about to write an cython extension to
process vectors of epochs and records of struct tm.
Naturally, I'd love to be
On Thu, Jul 16, 2009 at 6:39 PM, Gökhan SEVER wrote:
>
>
> On Thu, Jul 16, 2009 at 4:30 PM, Fernando Perez wrote:
>
>>
>> If someone has a camera that can do the recordings in a format that
>> can then be directly recompressed at the command line with something
>> like mencoder, that would be gre
On Thu, Jul 16, 2009 at 11:32 AM, Gökhan SEVER wrote:
>
>
> On Wed, Jul 15, 2009 at 10:29 PM, Peter Alexander wrote:
>
>> Hi all,
>>
>> I sure wish I was able to attend this year's event.
>> I'm wondering, and really hoping, if/that the lectures wil
Hi all,
I sure wish I was able to attend this year's event.
I'm wondering, and really hoping, if/that the lectures will be recorded and
then posted for the whole community's benefit?
thanks,
~Peter
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N
27;t want me or there is some other problem.
>> >> Anyway it seems impossible to reach the right people.
>> >
>> > I don't think I am able to help you here. Forwarding this to the ML, so
>> > the list admins know.
>>
>> I've CC'd Pete
sing
tuples and a dictionary seemed to work as they should.
Thanks again,
-Peter
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;, 'int']
I get TypeError: data type not understood, and I think it is because the
event format is a list of strings not data types. Does anyone have know how
to convert the list of strings into the data types for dtype.
-Peter
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ppropriate headers for each version.
Any help or suggestions would be appreciated!
Thanks,
Peter
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e caching issue with the sourceforge
mirror system? In the meantime I'll give the beta a go on Python 2.6
on my Windows XP machine...
Thanks,
Peter
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or Itanium
processors? I don't have one, nor am I likely to, but it just looked
like a omission.
http://projects.scipy.org/numpy/browser/trunk/numpy/core/include/numpy/npy_cpu.h
Peter
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e bins
in that gene. If I split the problem into chromosomes, I feel sure there must
be some super-fast matrix approach I can apply using numpy, but I'm struggling
a bit. Can anybody suggest something?
Peter
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N
cts.scipy.org/scipy/log/
Thanks for your patience,
Peter
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On Mar 5, 2009, at 1:16 PM, Charles R Harris wrote:
> It looks like the new system is failing to mail svn commit
> notifications... Chuck
Thanks for the heads up; it should be fixed now.
-Peter
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or message ("repo is read only ..."), it means
> you
> are on the old repo.
>
> cheers,
> David
Yeah, this is an Enthought-internal IT issue, which I will fix this
morning as soon as I get in to the office.
-Peter
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t us know.
Thanks for your patience,
Peter
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t; David
Can you try again? I looked again and it looks like there are
definitely some files that were not writeable by the Apache server.
Thanks,
Peter
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mail.scipy.org/pipermail/. Again, this
should be seemless, so if you experience any difficulties please let
us know.
Thanks,
Peter, Stefan, and David
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l transition from
numpy 1.1 to numpy 1.3 as I'm sure there will be a few
deprecations/API changes to deal with.
Thanks,
Peter
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On Wed, Dec 10, 2008 at 12:59 AM, David Cournapeau
<[EMAIL PROTECTED]> wrote:
> Peter Norton wrote:
>> I've got a few issues that I hope won't be overwhelming on one message:
>>
>> (1) Because of some issues in the past in building numpy with
>> numscons,
.
Doesn't this clearly indicate that a dummy main is needed? I'm
working around this with a silly library that just has the MAIN__
symbol in it, but I'd love to do without that.
Thanks,
Peter
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cal/python-2.5.1/lib/python2.5/site-packages/numpy/linalg/lapack_lite.so:
ELF 32-bit LSB executable, Intel 80386, version 1 (SYSV), dynamically linked
(uses shared libs), not stripped
???
-Peter
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rors repeat themselves over and over including ignoreing
missing SConscript, and no sconsign.dblite file, until the build bombs out.
I've got numscons installed from pypi:
>>> import numscons.version
>>> numscons.version.VERSION
'0.9.4'
Can anyone get me on the righ
(100):
foo = Numeric.array(na_list, Numeric.Float)
print sys.getrefcount(na)
Peter
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discussion, even the veterans
don't go about making proclamations about what people should and
should not post... I think if you stick to asking technical questions,
people will respond in kind.
-Peter
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#older_array and
http://www.scipy.org/History_of_SciPy
For the actual numpy documentation, see the links on
http://www.scipy.org/Documentation
I hope any frustration getting numpy installed and working is short
lived, and wish you good luck with your work.
Peter
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