On Tue, Jan 25, 2011 at 5:18 PM, Charles R Harris wrote:
>
>
> On Tue, Jan 25, 2011 at 1:13 PM, Travis Oliphant
> wrote:
>
>>
>> On Jan 25, 2011, at 10:42 AM, Charles R Harris wrote:
>>
>> > Hi All,
>> >
>> > Just thought it was time to start discussing a release schedule for
>> numpy 2.0 so we
On Tue, Jan 25, 2011 at 1:13 PM, Travis Oliphant wrote:
>
> On Jan 25, 2011, at 10:42 AM, Charles R Harris wrote:
>
> > Hi All,
> >
> > Just thought it was time to start discussing a release schedule for numpy
> 2.0 so we have something to aim at. I'm thinking sometime in the period
> April-June m
On Tue, Jan 25, 2011 at 6:05 PM, David wrote:
> On 01/26/2011 01:42 AM, Charles R Harris wrote:
> > Hi All,
> >
> > Just thought it was time to start discussing a release schedule for
> > numpy 2.0 so we have something to aim at. I'm thinking sometime in the
> > period April-June might be appropr
On 01/26/2011 01:42 AM, Charles R Harris wrote:
> Hi All,
>
> Just thought it was time to start discussing a release schedule for
> numpy 2.0 so we have something to aim at. I'm thinking sometime in the
> period April-June might be appropriate. There is a lot coming with the
> next release: the Ent
Actually I believe the version does matter: I have seen a C version of num
rec that doesn't contain all the algorithmic part but only the codes. I
cannot remember exactly which ones are the light versions. If I had to
guess, the F90 is also a light version and that's why I bought the F77 book.
Jon
On Tue, Jan 25, 2011 at 2:26 PM, Daniele Nicolodi wrote:
> On 25/01/11 22:12, Jonathan Rocher wrote:
> > I would recommend the Numerical recipes in Fortran 77, obviously not for
> > the language but for its mathematical sections and its discussions of
> > coding algorithms efficiently. Section 13.
On Jan 25, 2011, at 9:06 PM, Bruce Southey wrote:
> Your filling_values is zero so there is this line (1295?) in the code:
> user_filling_values = filling_values or []
>
> Which of cause presumes your filling_values is not something like 0 or [0].
That's the bug. I forgot that filling_values cou
On 25/01/11 22:20, Pauli Virtanen wrote:
>> However I'm encountering some problems that are beyond my knowledge of
>> the matter. Can someone suggest me a reference text book, or other
>> resource?
>
> Scipy-user list would be more appropriate for queries not directly
> involving Numpy.
Sorry. I
On 25/01/11 22:12, Jonathan Rocher wrote:
> I would recommend the Numerical recipes in Fortran 77, obviously not for
> the language but for its mathematical sections and its discussions of
> coding algorithms efficiently. Section 13.3 is about wiener filtering
> with FFT.
Thank you, Jonathan.
I t
Hi,
On Tue, 25 Jan 2011 22:04:42 +0100, Daniele Nicolodi wrote:
[clip]
> However I'm encountering some problems that are beyond my knowledge of
> the matter. Can someone suggest me a reference text book, or other
> resource?
Scipy-user list would be more appropriate for queries not directly
invo
Hi Daniele,
I would recommend the Numerical recipes in Fortran 77, obviously not for the
language but for its mathematical sections and its discussions of coding
algorithms efficiently. Section 13.3 is about wiener filtering with FFT.
Hope this helps,
Jonathan
On Tue, Jan 25, 2011 at 3:04 PM, Da
Hello,
I'm trying to write a numerical implementation of Wiener filtering /
decorrelation (extraction of a signal from noisy time series). What I'm
trying to do is the construction of the time domain filter from a
measurement of the power spectrum of the noise and the shape of the signal.
However
On Jan 25, 2011, at 10:42 AM, Charles R Harris wrote:
> Hi All,
>
> Just thought it was time to start discussing a release schedule for numpy 2.0
> so we have something to aim at. I'm thinking sometime in the period
> April-June might be appropriate. There is a lot coming with the next release
On 01/25/2011 10:56 AM, Skipper Seabold wrote:
> On Tue, Jan 25, 2011 at 11:17 AM, Pierre GM wrote:
>> On Jan 24, 2011, at 11:47 PM, Skipper Seabold wrote:
>>
>>> Am I misreading the docs or missing something? Consider the following
>>> adapted from here:
>>> http://docs.scipy.org/doc/numpy/user/
==
Announcing Numexpr 1.4.2
==
Numexpr is a fast numerical expression evaluator for NumPy. With it,
expressions that operate on arrays (like "3*a+4*b") are accelerated
and use less memory than doing the same calculation in Python.
What's new
=
On Tue, Jan 25, 2011 at 11:17 AM, Pierre GM wrote:
>
> On Jan 24, 2011, at 11:47 PM, Skipper Seabold wrote:
>
>> Am I misreading the docs or missing something? Consider the following
>> adapted from here:
>> http://docs.scipy.org/doc/numpy/user/basics.io.genfromtxt.html
>>
>> from StringIO import
Hi All,
Just thought it was time to start discussing a release schedule for numpy
2.0 so we have something to aim at. I'm thinking sometime in the period
April-June might be appropriate. There is a lot coming with the next
release: the Enthought's numpy refactoring, Mark's float16 and iterator
wor
On Jan 24, 2011, at 11:47 PM, Skipper Seabold wrote:
> Am I misreading the docs or missing something? Consider the following
> adapted from here:
> http://docs.scipy.org/doc/numpy/user/basics.io.genfromtxt.html
>
> from StringIO import StringIO
> import numpy as np
>
> data = "1, 2, 3\n4, ,5"
A Monday 24 January 2011 18:47:58 John Salvatier escrigué:
> Hello,
>
> I have discovered a strange bug with numexpr. numexpr.evaluate gives
> randomized results on arrays larger than 2047 elements. The following
> program demonstrates this:
>
> from numpy import *
> from numexpr import evaluate
Hi,
On Tue, Jan 25, 2011 at 1:49 AM, wrote:
> On Mon, Jan 24, 2011 at 4:29 PM, eat wrote:
> > Hi,
> >
> > Running on:
> > In []: np.__version__
> > Out[]: '1.5.1'
> > In []: sys.version
> > Out[]: '2.7.1 (r271:86832, Nov 27 2010, 18:30:46) [MSC v.1500 32 bit
> (Intel)]'
> >
> > For the referenc
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