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 bee
David Cournapeau wrote:
> On Fri, Jul 2, 2010 at 1:56 PM, Robert Pyle 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 *very* surprise
On 07/02/2010 05:05 PM, Dag Sverre Seljebotn wrote:
> David Cournapeau wrote:
>> On Fri, Jul 2, 2010 at 1:56 PM, Robert Pyle 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 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
> 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 Ap
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
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 matla
On Sat, Jul 3, 2010 at 1:37 AM, Robin 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 built for 64 bi
On Fri, Jul 2, 2010 at 5:47 PM, David Cournapeau 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 instead (or buil
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
LD_PRELO
On Sat, Jul 3, 2010 at 1:58 AM, Robin wrote:
> On Fri, Jul 2, 2010 at 5:47 PM, David Cournapeau 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, whic
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 curren
On Fri, Jul 2, 2010 at 11:33 AM, Benjamin Root 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) - 1) becau
On Fri, Jul 2, 2010 at 11:45 AM, Keith Goodman wrote:
> On Fri, Jul 2, 2010 at 11:33 AM, Benjamin Root 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
On 07/02/2010 01:45 PM, Keith Goodman wrote:
> On Fri, Jul 2, 2010 at 11:33 AM, Benjamin Root 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, bu
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
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 Fri, Jul 2, 2010 at 12:53 PM, Geoffrey Ely 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 something
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:
http:/
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, unr
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