Sat, 16 Oct 2010 23:23:46 -0600, Charles R Harris wrote:
[clip]
And I just managed the same result on a push to maintenance/1.5.x :-/
But I know how it happened, I cherry picked from master for a backport
before updating the 1.5.x branch from github. In Retrospect I probably
should have reset
A Monday 18 October 2010 03:42:39 Koert Kuipers escrigué:
Hello all,
If my function receives an array with a flexible dtype such as string
or unicode, how do I find out what the size (max number of elements,
not number of bytes) of the datatype is?
For example:
x = np.array(['a', 'b',
hi everyone, i'm very new to ubuntu, now trying to install numpy and
wxpython.
Having unpacked numpy and running the standard commnad in idle
from numpy import *
i get the message
ImportError: Error importing numpy: you should not try to import numpy from
its source directory; please
On Mon, Oct 18, 2010 at 11:55 AM, Alex Ter-Sarkissov
sigma.z.1...@gmail.com wrote:
hi everyone, i'm very new to ubuntu, now trying to install numpy and
wxpython.
Did you consider installing the Ubuntu provided packages, e.g. via apt-get
or the Synaptic Package manager? That is *much* easier -
Bruce Southey wrote:
[...]
It took me a while to track it down, but there used to be a module/file
called 'convertcode.py' for conversion. It was mentioned as tip in
Travis's 'Guide to Numpy' page 31 in Jan 6 2005 version. But the
alter_code path is in Dec 7 2006 (linked at
To do a standard installation, run
sudo python setup.py install
from inside the numpy directory
Then your import should work elsewhere.
By the way, import * can cause difficulties when you're working with
several different files. For example, if you have a function called 'save'
somewhere that
Mon, 18 Oct 2010 09:07:42 -0400, Ian Goodfellow wrote:
To do a standard installation, run
sudo python setup.py install
from inside the numpy directory
Preferably,
sudo python setup.py install --prefix=/usr/local
and then you don't mess up your package manager.
Pauli
On Sun, Oct 17, 2010 at 5:35 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Hi,
I am pleased to announce the availability of the first release
candidate of NumPy 1.5.1. This is a bug-fix release with no new
features compared to 1.5.0.
Binaries, sources and release notes can be found at
On Mon, Oct 18, 2010 at 9:55 PM, Vincent Davis vinc...@vincentdavis.net wrote:
On Sun, Oct 17, 2010 at 5:35 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Hi,
I am pleased to announce the availability of the first release
candidate of NumPy 1.5.1. This is a bug-fix release with no new
Fernando Perez writes:
On Wed, Oct 13, 2010 at 6:02 AM, Lluís xscr...@gmx.net wrote:
I thought that datarray module would be inside numpy, so the
construction interface would be:
numpy.datarray.array(...)
User-friendly constructor with inlined contents.
On Mon, Oct 18, 2010 at 11:21 AM, M Trumpis mtrum...@berkeley.edu wrote:
Just a heads up that I'm going to do a quick pitch for datarray this
Wed. at the NYC Python Meetup thing.
If any collaborator is attending, please introduce yourself!
Well, Travis will be there speaking, if my Enthought
Maybe put it up on youtube? Or write down your pitch? As someone who
dislikes R but thinks data.frames are good for something, I'd be interested
in hearing the pitch, what the developers think the strengths and weaknesses
of DatArray are.
On Mon, Oct 18, 2010 at 2:18 PM, Fernando Perez
Mon, 18 Oct 2010 12:20:00 +0300, Pearu Peterson wrote:
[clip]
I see that there are long discussions in numpy ml about the git usage
and mis usage. I wonder whether this has converged to something that
could be used as reference for git beginners like me.
I think there's agreement on what we
On 10/18/2010 10:45 PM, Pauli Virtanen wrote:
Mon, 18 Oct 2010 09:07:42 -0400, Ian Goodfellow wrote:
To do a standard installation, run
sudo python setup.py install
from inside the numpy directory
Preferably,
sudo python setup.py install --prefix=/usr/local
and then you don't mess
I found a bug in structured array comparison when fields have
multi-dimensional types. I created a ticket here:
http://projects.scipy.org/numpy/ticket/1640
and a patch here:
http://github.com/m-paradox/numpy/compare/master...fix_structured_compare
Could someone review it for me?
Thanks,
Mark
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