Christopher Barker, on 2010-01-04 17:05, wrote:
Hi folks,
I'm taking a look once again at fromfile() for reading text files. I
often have the need to read a LOT of numbers form a text file, and it
can actually be pretty darn slow do i the normal python way:
for line in file:
data =
Hi all,
I'm having an odd problem with the package installer for numpy 1.4.0.
It complains:
numpy 1.4.0 can't be installed on this disk. numpy requires System
Python 2.6 to install.
I'm running a stock system with a stock python, so I'm not sure why
the test is failing. Any ideas how to debug
Hi All,
I'm looking at ticket
#1025http://projects.scipy.org/numpy/ticket/1035#comment:4with an
eye to bringing it to completion but there some issues that need
discussion. Currently there are three ways in which nans can be compared:
maximum/minimum, fmax/fmin, or the new sort order. The
josef.p...@gmail.com wrote:
On Mon, Jan 4, 2010 at 10:39 PM, a...@ajackson.org wrote:
I rather like the R command(s) for reading text files
Aren't the newly improved
numpy.genfromtxt()
...
and friends indented to handle all this
Yes, they are, and they are great, but not really all
On Jan 5, 2010, at 12:32 PM, Christopher Barker wrote:
josef.p...@gmail.com wrote:
On Mon, Jan 4, 2010 at 10:39 PM, a...@ajackson.org wrote:
I rather like the R command(s) for reading text files
Aren't the newly improved
numpy.genfromtxt()
...
and friends indented to handle all
ma, 2010-01-04 kello 17:05 -0800, Christopher Barker kirjoitti:
[clip]
I also notice that it supports separators of arbitrary length, which I
wonder how useful that is. But it also does odd things with spaces
embedded in the separator:
, $ # matches all of: ,$# , $# ,$ #
Is it worth
neil weisenfeld wrote:
Hi all,
I'm having an odd problem with the package installer for numpy 1.4.0.
It complains:
numpy 1.4.0 can't be installed on this disk. numpy requires System
Python 2.6 to install.
I think the problem is that the message is misleading; it should be
saying you
On Jan 5, 2010, at 3:45 PM, Eric Firing wrote:
neil weisenfeld wrote:
Hi all,
I'm having an odd problem with the package installer for numpy 1.4.0.
It complains:
numpy 1.4.0 can't be installed on this disk. numpy requires System
Python 2.6 to install.
I think the problem is that the
Hi,
is there a (simple) solution to extract data from OpenDocument files
(espacially OpenOffice.org Calc files) into a Numpy Array? At the
moment I copy the colums from OO.org Calc manually into a
tab-separatet Plaintext file which is quite annoying.
Regards,
Manuel Wittchen
Hi Manuel,
you may save your odf file as a csv (comma separated value) file with
OpenOffice, then use np.loadtxt, specifying the 'delimiter' keyword:
myarray = np.loadtxt('myfile.csv', delimiter=',')
Cheers,
Emmanuelle
On Tue, Jan 05, 2010 at 10:14:54PM +0100, Manuel Wittchen wrote:
Hi,
is
Hi,
I have compiled numpy 1.5.0.dev8039 both on a 32 and a 64bits ubuntu
machine.
On the 64bits one, everything is fine:
numpy.test get a perfect score:
nose.result.TextTestResult run=2504 errors=0 failures=0
On the 32bits ubuntu, the story is not that nice:
nose.result.TextTestResult run=2504
Pierre GM wrote:
On Jan 5, 2010, at 3:45 PM, Eric Firing wrote:
neil weisenfeld wrote:
Hi all,
I'm having an odd problem with the package installer for numpy 1.4.0.
It complains:
numpy 1.4.0 can't be installed on this disk. numpy requires System
Python 2.6 to install.
I think the problem
On Wed, Jan 6, 2010 at 6:48 AM, Xavier Gnata xavier.gn...@gmail.com wrote:
Hi,
I have compiled numpy 1.5.0.dev8039 both on a 32 and a 64bits ubuntu
machine.
On the 64bits one, everything is fine:
numpy.test get a perfect score:
nose.result.TextTestResult run=2504 errors=0 failures=0
On
Pierre GM wrote:
Ah OK, my bad. Now, why should it be that different ? Why rely on a
second Python to install numpy from a dmg?
OS-X has a way of hard coding paths, so a given installer is designed to
go in one place, and one place only.
The python.org python is the best one to support --
On 5-Jan-10, at 6:01 PM, Christopher Barker wrote:
The python.org python is the best one to support -- Apple has never
upgraded a python, has often shipped a broken version, and has
provided
different versions with each OS-X version. If we support the
python.org
python for OS-X 10.4,
On Wed, Jan 6, 2010 at 6:48 AM, Xavier Gnata xavier.gn...@gmail.com wrote:
Hi,
I have compiled numpy 1.5.0.dev8039 both on a 32 and a 64bits ubuntu
machine.
On the 64bits one, everything is fine:
numpy.test get a perfect score:
nose.result.TextTestResult run=2504 errors=0 failures=0
On Jan 5, 2010, at 6:22 PM, David Warde-Farley wrote:
On 5-Jan-10, at 6:01 PM, Christopher Barker wrote:
The python.org python is the best one to support -- Apple has never
upgraded a python, has often shipped a broken version, and has
provided
different versions with each OS-X version.
David Warde-Farley wrote:
AFAIK, the System Python in 10.6 is 64-bit capable (but not in the
same way as Ron Oussoren's 4-way universal build script does it).
right -- I'm not sure if it's useful, though, I don't' think there is a
64 bit interpreter, for instance. But maybe that was the
Christopher Barker wrote:
OK -- what about simply punting and doing two builds: one 32 bit, and
one 64 bit. I wonder if we need 64bit PPC at all? I know I'm running 64
bit hardware, but never ran a 64 bit OS on it -- I wonder if anyone is?
Oh, I think this approach may be completely
On Wed, Jan 6, 2010 at 8:17 AM, Xavier Gnata xavier.gn...@gmail.com wrote:
On Wed, Jan 6, 2010 at 6:48 AM, Xavier Gnata xavier.gn...@gmail.com wrote:
Hi,
I have compiled numpy 1.5.0.dev8039 both on a 32 and a 64bits ubuntu
machine.
On the 64bits one, everything is fine:
numpy.test get a
On Wed, Jan 6, 2010 at 8:22 AM, David Warde-Farley d...@cs.toronto.edu wrote:
On 5-Jan-10, at 6:01 PM, Christopher Barker wrote:
As the 2.6 series is binary compatible, you can build a single
installer
that will work with both
I don't think that's true. 2.6.x are compatible with each other
On Wed, Jan 6, 2010 at 9:18 AM, Christopher Barker
chris.bar...@noaa.gov wrote:
If distutils/setuptools could identify the python version properly, then
binary eggs and easy-install could be a solution -- but that's a mess,
too.
It would not solve the problem, really. Two same versions of
Hi,
I followed what I collected about installation of numpy with lapack and
atlas and installed numpy on our desktop with RHEL4 and 4 cores.
uname -a
Linux curie.physics.usyd.edu.au 2.6.9-89.0.15.ELsmp #1 SMP Sat Oct 10
05:59:16 EDT 2009 i686 i686 i386 GNU/Linux
I successfully installed
Xue (Sue) Yang wrote:
Hi,
I followed what I collected about installation of numpy with lapack and
atlas and installed numpy on our desktop with RHEL4 and 4 cores.
uname -a
Linux curie.physics.usyd.edu.au 2.6.9-89.0.15.ELsmp #1 SMP Sat Oct 10
05:59:16 EDT 2009 i686 i686 i386 GNU/Linux
There is a possibility to export the data to excel format and use xlrd or
similar package to read it.
Nadav
-Original Message-
From: numpy-discussion-boun...@scipy.org on behalf of Manuel Wittchen
Sent: Tue 05-Jan-10 23:14
To: Discussion of Numerical Python
Subject:
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