On Jul 24, 2010, at 11:39 AM, Benjamin Root wrote:
> I have to wonder why this question keeps coming up. Do we need to make the
> build/installation instructions on the website clearer?
Yes. I was one who asked recently. I've not seen easy_install nor pip
mentioned on the website nor INSTALL
On Jul 2, 2010, at 1:07 PM, Matthew Brett wrote:
>> Can numpy.distutils be directed to process *.pyx with Cython rather than
>> Pyrex?
>
> Yes, but at the moment I believe you have to monkey-patch numpy
> distutils : see the top of
>
> http://github.com/matthew-brett/nipy/blob/master/setup.py
>
Hi All,
Sorry if this has been documented or discussed already, but my searches have
come up short. Can someone please recommend a way to setup both Cython and
Fortran extensions in a single package with numpy.distutils (or something
else)? E.g.:
from numpy.distutils.core import setup, Extensi
On Jul 2, 2010, at 11:33 AM, Benjamin Root wrote:
> I want to do the same for the calculation of the kinetic energy:
> /2m. There is a laplacian in the volume integral which
> complicates things:
> K = 0.0
> for i in numpy.arange(len(dx)-1):
> for j in numpy.arange(len(dy)-1):
> for k
On Jun 22, 2010, at 7:11 PM, David wrote:
>> Is it better to avoid setuptools/distribute/PyPI altogether?
>
> Yes, unless you need their features (which in the case of numpy is
> mostly egg, since installing from pypi rarely works anyway).
OK, installing from source solved the problem (and so di
On Jun 22, 2010, at 5:13 PM, Benjamin Root wrote:
> Which distro of Linux are you using? The kernel version is fairly old, but
> the installation date is less than a year old. Also, what version of python
> is available through Distribute?
It is CentOS, heavily customized, I am sure, for this
> No, and I cannot replicate it on OS X. Can you give more details about
> your platform and how you built numpy?
$ uname -a
Linux login3.ranger.tacc.utexas.edu 2.6.9-78.0.22.EL_lustre_TACC #9 SMP
Wed Nov 4 16:21:54 CST 2009 x86_64 x86_64 x86_64 GNU/Linux
Python 2.6.5 built with
./configure
make
Hi,
I'm getting a SEGV for boolean indices to a multi-dimensional array (numpy ver
1.4.1). Is this a known problem? Code and backtrace below.
Thanks,
Geoff
import numpy
a = numpy.ones((1,1))
a[a>0]
Program received signal SIGSEGV, Segmentation fault.
[Switching to Thread 182902359776 (LWP 17
This does not exactly answer your question, but you can use the dtype
string representation and positional parameter to make things nicer.
For example:
a = numpy.array( [1.0, 2.0, 3.0], 'f' )
instead of
a = numpy.array( [1.0, 2.0, 3.0], dtype=numpy.float32 )
-Geoff
On Jun 25, 2009, at 6:43
If you use LaTex and Mac OSX, I recommend BibDesk:
http://bibdesk.sourceforge.net/
Quite nice, and open-source.
-Geoff
On Jun 10, 2009, at 12:23 PM, Gökhan SEVER wrote:
> Hello,
>
> I am very off-the-topic, sorry about that first, but I know most of
> the people in this list are students / s
On Jun 5, 2009, at 10:18 AM, josef.p...@gmail.com wrote:
> I'm only using arrays for consistency, but my econometrics code is
> filled with arr[np.newaxis,:] .
arr[None,:] is a lot cleaner in my opinion, especially when using
"numpy" as the namespace.
-Geoff
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