After some discussion on the Cython lists I thought I would try my hand at
writing some Cython accelerators for empty and zeros. This will involve using
PyArray_EMPTY, I have a simple prototype I would like to get working, but
currently it segfaults. Any tips on what I might be missing?
import
On Mon, Nov 24, 2008 at 07:45:56PM +0100, Francesc Alted wrote:
Hi,
After dealing with another issue, I realized that the names of inverse
trigonometrical/hyperbolic functions in NumPy don't follow the main
standards in computer science. For example, where Python writes:
asin, acos,
There is resistance. Please don't remove the old names. Also note that
your proposed change will alter people's code in subtle, but potentially
very interesting ways:
from math import *
from numpy import *
type(arcsin(1)) is type(asin(1))
False
from numpy import arcsin as
On Wed, Nov 12, 2008 at 09:43:34AM -0800, Charles سمير Doutriaux wrote:
Hello,
I'm wondering if there's aquick way to do the following:
s[:,5]=value
in a general function
def setval(array,index,value,axis=0):
## code here
The issue is to put enough : before the index value
On Wed, Nov 12, 2008 at 12:34:51PM -0600, Ryan May wrote:
Charles سمير Doutriaux wrote:
Hello,
I'm wondering if there's aquick way to do the following:
s[:,5]=value
in a general function
def setval(array,index,value,axis=0):
## code here
Assuming that axis specifies
Something I use a lot is a little generator that iterates over a ndarray by a
given axis. I was wondering if this is already built-in to numpy (and not
using the apply_along_axis which I find ugly) and if not would there be
interest in adding it?
the function is just:
def by_axis(nobj, axis=0):
On Wed, Nov 05, 2008 at 03:19:09PM +0100, Matthieu Brucher wrote:
Not in this case: I always get the same sequence with seed=0
(different for both implementation, but the same each time I run it.)
I got around it by installing pygsl and taking random numbers from
there instead of from
On Mon, Oct 27, 2008 at 12:41:06PM +0100, Nicolas ROUX wrote:
Hello,
I hope this is not a silly question ;-)
I have a Numpy array, and I want to process it with :
if the value is lower than Threshold, then increase by Threshold
I would like to translate it as:
y[yTreshold] = y +
On Mon, Oct 27, 2008 at 12:45:44PM +0100, Uwe Schmitt wrote:
Nicolas ROUX schrieb:
Hello,
I hope this is not a silly question ;-)
I have a Numpy array, and I want to process it with :
if the value is lower than Threshold, then increase by Threshold
I would like to translate it
Since, the programs are heavily using numpy, scipy and matplotlib
libraries, I send this announcement to all the three lists and the main
python-list; sorry for double-posting. The announcement with the related
links is uploaded here [1]http://blog.deductivethinking.com/?p=29. The
On Wed, Oct 22, 2008 at 02:00:20PM -0700, Fernando Perez wrote:
Hi all,
much delayed, but here it is, finally. The doc regarding our
discussion about PEP 225 is attached, and I'm keeping a public copy
for viewing convenience (with html) here:
On Wed, Oct 15, 2008 at 09:45:39AM -0500, Travis E. Oliphant wrote:
Gabriel Gellner wrote:
Some colleagues noticed that var uses biased formula's by default in numpy,
searching for the reason only brought up:
http://article.gmane.org/gmane.comp.python.numeric.general/12438/match=var+bias
Let's be clear, there are two very closely related things: recarrays
and record arrays. Record arrays are just ndarrays with a complicated
dtype. E.g.
In [1]: from numpy import *
In [2]: ones(3, dtype=dtype([('foo', int), ('bar', float)]))
Out[2]:
array([(1, 1.0), (1, 1.0), (1, 1.0)],
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