Dear all,
Perhaps this is a bit off topic for the mailing list, but this is
probably the only mailing list that is common to users of all python
plotting packages.
I am trying to find a python implementation of ternary/triangular plots:
http://en.wikipedia.org/wiki/Ternary_plot
but I have
David Cournapeau wrote:
On Fri, Jul 2, 2010 at 1:56 PM, Robert Pyle rp...@post.harvard.edu wrote:
Hi,
While I agree that toydist needs a new name, Bento might not be a good
choice. It's already the name of a database system for Macintosh from
Filemaker, an Apple subsidiary. I'd be
On 07/02/2010 05:05 PM, Dag Sverre Seljebotn wrote:
David Cournapeau wrote:
On Fri, Jul 2, 2010 at 1:56 PM, Robert Pylerp...@post.harvard.edu wrote:
Hi,
While I agree that toydist needs a new name, Bento might not be a good
choice. It's already the name of a database system for Macintosh
Hi all,
I am hitting a memory leak with the combination of numpy and cvxopt.matrix. As
I am not where it occurs, I am cross posting.
On my machine (Fedora 13, x86_64) this example quickly eats up all my memory.
---
from cvxopt import matrix
import numpy as np
N = 2000
X = np.ones((N,
On Jul 2, 2010, at 1:11 AM, David Cournapeau wrote:
On Fri, Jul 2, 2010 at 1:56 PM, Robert Pyle rp...@post.harvard.edu
wrote:
Hi,
While I agree that toydist needs a new name, Bento might not be a
good
choice. It's already the name of a database system for Macintosh
from
Hi,
Can you copyright a word ? I thought this was the trademark part of
the law. For example, linux is a trademark owned by Linus Torvald.
Also, well known packages use words which are at least as common as
bento in English (sphinx, twisted, etc...), and as likely to be
trademarked.
I got
Fri, 02 Jul 2010 14:56:47 +0200, Tillmann Falck wrote:
I am hitting a memory leak with the combination of numpy and
cvxopt.matrix. As I am not where it occurs, I am cross posting.
Probably a bug in cvxopt, as also the following leaks memory:
from cvxopt import
Hi,
Sorry for the offtopic post but I wondered if any Windows experts who
are familiar with topics like linking python on windows and visual
studio runtimes etc. might be able to help.
I'm on a bit of a mission to get pymex built for 64 bit windows. Pymex
( http://github.com/kw/pymex ) is a
On Sat, Jul 3, 2010 at 1:37 AM, Robin robi...@gmail.com wrote:
Hi,
Sorry for the offtopic post but I wondered if any Windows experts who
are familiar with topics like linking python on windows and visual
studio runtimes etc. might be able to help.
I'm on a bit of a mission to get pymex
On Fri, Jul 2, 2010 at 5:47 PM, David Cournapeau courn...@gmail.com wrote:
The problem may be that matlab is built with one runtime, and Python
with another Unless your matlab is very recent, it is actually
quite likely to be compiled with VS 2005, which means you should use
python 2.5
That's an excellent point.
I've noticed on my (Linux) workstation that pymex works fine, but
PyCUDA fails to import properly, because PyCUDA is a Boost::Python
project and expects a different libstdc++ than the one that MATLAB
jams into its LD_LIBRARY_PATH. (I got around this using an evil
On Sat, Jul 3, 2010 at 1:58 AM, Robin robi...@gmail.com wrote:
On Fri, Jul 2, 2010 at 5:47 PM, David Cournapeau courn...@gmail.com wrote:
The problem may be that matlab is built with one runtime, and Python
with another Unless your matlab is very recent, it is actually
quite likely to be
I am moving this over to numpy-discussion maillist...
I don't have a firm answer for you, but I did notice one issue in your
code. You call arange(len(dx) - 1) for your loops, but you probably really
need arange(1, len(dx) - 1) because you are accessing elements both after
*and* before the
On Fri, Jul 2, 2010 at 11:33 AM, Benjamin Root ben.r...@ou.edu wrote:
I am moving this over to numpy-discussion maillist...
I don't have a firm answer for you, but I did notice one issue in your
code. You call arange(len(dx) - 1) for your loops, but you probably really
need arange(1, len(dx)
On Fri, Jul 2, 2010 at 11:45 AM, Keith Goodman kwgood...@gmail.com wrote:
On Fri, Jul 2, 2010 at 11:33 AM, Benjamin Root ben.r...@ou.edu wrote:
I am moving this over to numpy-discussion maillist...
I don't have a firm answer for you, but I did notice one issue in your
code. You call
On 07/02/2010 01:45 PM, Keith Goodman wrote:
On Fri, Jul 2, 2010 at 11:33 AM, Benjamin Rootben.r...@ou.edu wrote:
I am moving this over to numpy-discussion maillist...
I don't have a firm answer for you, but I did notice one issue in your
code. You call arange(len(dx) - 1) for your
On Jul 2, 2010, at 11:33 AM, Benjamin Root wrote:
I want to do the same for the calculation of the kinetic energy:
phi|p^2|phi/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):
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,
On Fri, Jul 2, 2010 at 12:53 PM, Geoffrey Ely g...@usc.edu wrote:
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
Hi,
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
and generate_a_pyrex_source around line 289 of:
The simple test below show the issue.
import sys
import numpy as np
from numpy.core import _internal
def f(a = np.zeros(4)):
a = np.zeros(4)
b = memoryview(a)
c = np.asarray(b)
print sys.getrefcount(_internal)
while 1:
f()
The patch it trivial (I've added a little extra,
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