Hi,
On Tue, Jan 25, 2011 at 1:49 AM, josef.p...@gmail.com wrote:
On Mon, Jan 24, 2011 at 4:29 PM, eat e.antero.ta...@gmail.com 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
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
def
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
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
On Tue, Jan 25, 2011 at 11:17 AM, Pierre GM pgmdevl...@gmail.com 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
==
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 01/25/2011 10:56 AM, Skipper Seabold wrote:
On Tue, Jan 25, 2011 at 11:17 AM, Pierre GMpgmdevl...@gmail.com 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:
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:
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.
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,
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
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 took
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 thought
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 could
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