Le vendredi 15 septembre 2006 16:05, Francesc Altet a écrit :
Another possibility is to play with columns directly from the initial
recarray. The next is an example:
In [101]: ra=numpy.rec.array(1*36, dtype=a4,i4,f4, shape=3)
In [102]: ra
Out[102]:
recarray([('', 825307441,
Eric Emsellem schrieb:
Hi again
after some hours of debugging I finally (I think) found the problem:
numpy.sum([[0,1,2],[2,3,4]])
24
numpy.sum([[0,1,2],[2,3,4]],axis=0)
array([2, 4, 6])
numpy.sum([[0,1,2],[2,3,4]],axis=1)
array([3, 9])
Isn't the first line supposed to act as
Le lundi 18 septembre 2006 12:17, Francesc Altet a écrit :
You have two problems here. The first is that you shouldn't have missign
entries, or conversion from empty strings to ints (or whatever) will
fail:
int('')
Traceback (most recent call last):
File stdin, line 1, in ?
ValueError:
El dl 18 de 09 del 2006 a les 17:10 +0200, en/na Lionel Roubeyrie va
escriure:
Le lundi 18 septembre 2006 12:17, Francesc Altet a écrit :
You have two problems here. The first is that you shouldn't have missign
entries, or conversion from empty strings to ints (or whatever) will
fail:
Le lundi 18 septembre 2006 17:40, Francesc Altet a écrit :
I'm running NumPy 1.0b5. Please, check that you are using a recent
version of it.
Cheers,
Arg, sorry, version here was 0.9, an upgrade and it works fine.
thanks again
--
Lionel Roubeyrie - [EMAIL PROTECTED]
LIMAIR
Hi all,
I am doing a feseability study to migrate our Python based FEM
applications from Numarray to Numpy.
First, I tried to install Numpy from Python-2.4 on linux-x86,
linux-86-64bit. So, all work fine. Great! Moreover, I change easily the
BLAS linked libraries. I tried with ATLAS and GOTO.
Mathew Yeates wrote:
semi off topic.
Does anyone know of any good visual programming tools? Forever ago, I
used to use something called Khoros for image processing and I found it
very useful. You connect boxes which represent different processing
steps.
if i recall correctly, there
Sven Schreiber wrote:
on my 1.0b5 I also see this docstring which indeed seems obsolete.
I get this docs string from :
import numpy as N
N.__version__
'1.0b5'
a = N.arange(10)
help( a.sum)
sum(...)
a.sum(axis=None, dtype=None) - Sum of array over given axis.
Sum the array
On 18/09/06, Mathew Yeates [EMAIL PROTECTED] wrote:
semi off topic.
Does anyone know of any good visual programming tools? Forever ago, I
used to use something called Khoros for image processing and I found it
very useful. You connect boxes which represent different processing
steps. At about
On 9/18/06, Mathew Yeates [EMAIL PROTECTED] wrote:
semi off topic.Does anyone know of any good visual programming tools? Forever ago, Iused to use something called Khoros for image processing and I found itvery useful. You connect boxes which represent different processing
steps. At about the same
Martin Wiechert wrote:
Hi list,
does anybody know, if in C in the PyArray_Descr struct it is safe to manually
change descr-elsize and descr-alignment as long as these are compatible and
descr-elsize is large enough to hold all fields? Of course I mean before any
array is constructed using
Eric Emsellem wrote:
Hi again
after some hours of debugging I finally (I think) found the problem:
numpy.sum([[0,1,2],[2,3,4]])
24
numpy.sum([[0,1,2],[2,3,4]],axis=0)
array([2, 4, 6])
numpy.sum([[0,1,2],[2,3,4]],axis=1)
array([3, 9])
Isn't the first line supposed to act as with
mg wrote:
Hi all,
I am doing a feseability study to migrate our Python based FEM
applications from Numarray to Numpy.
First, I tried to install Numpy from Python-2.4 on linux-x86,
linux-86-64bit. So, all work fine. Great! Moreover, I change easily the
BLAS linked libraries. I tried with
Matthew Brett wrote:
Hi,
As expected:
In [67]:a = array([1], dtype='i4')
In [68]:a.astype('i4').dtype
Out[68]:dtype('i4')
I was also expecting this to work for 0d arrays, but it doesn't:
In [69]:a = array(1, dtype='i4')
In [70]:a.astype('i4').dtype
Out[70]:dtype('i4')
The
Christopher Barker schrieb:
Sven Schreiber wrote:
on my 1.0b5 I also see this docstring which indeed seems obsolete.
I get this docs string from :
import numpy as N
N.__version__
'1.0b5'
a = N.arange(10)
help( a.sum)
sum(...)
a.sum(axis=None, dtype=None) - Sum of
Matthew Brett wrote:
Hi,
I noticed this works:
In [5]:a = array((1,), dtype=[('one', 'i4')])
In [6]:a.byteswap()
Out[6]:
array((16777216,),
dtype=[('one', 'i4')])
But, extending the recarray leads to a segfault on byteswapping:
In [8]:a = array((1, 2), dtype=[('one',
On Mon, 2006-09-18 at 09:29 -0700, Mathew Yeates wrote:
semi off topic.
Does anyone know of any good visual programming tools? Forever ago, I
used to use something called Khoros for image processing and I found it
very useful. You connect boxes which represent different processing
steps.
On Monday 18 September 2006 20:46, Travis Oliphant wrote:
Martin Wiechert wrote:
Hi list,
does anybody know, if in C in the PyArray_Descr struct it is safe to
manually change descr-elsize and descr-alignment as long as these are
compatible and descr-elsize is large enough to hold all
Hi,
Would anyone object if I changed the signature of
unique1d(ar1, retindx=False)
to
unique1d(ar1, return_index=False)?
I find retindx both harder to read and to type than return_index.
Thanks.
Stéfan
-
Take Surveys.
Hi Numpyers,I recently sent the message below to the MMTK mailing list, but it's really a problem with LinearAlgebra.py. The routine LinearAlgebra.eigenvectors() never stops, even when I try to diagonalize a very simple 2x2 matrix. I've tried this on two machines with completely standard FC4 and
Hey there,
I don't see anything called LinearAlgegra.eigenvectors(). Do you
maybe mean numpy.linalg.eig?
Which version of numpy are you using?
The latest release is 1.0b5.
import numpy
numpy.__version__
'1.0b5'
numpy.linalg.eig([[2,1],[1,2]])
(array([ 3., 1.]),
array([[ 0.70710678,
Hi Bill,MMTK has not made the conversion over to the new numpy module. It is built against the old Numeric code, and the word from its developers is that changing to numpy cannot be a priority now.Cheers,
SethOn 9/19/06, Bill Baxter [EMAIL PROTECTED] wrote:
Hey there,I don't see anything called
Grepping through numpy/**/*.py, the only three functions I could find
with an argument to specify extra return values are:
linspace(start, stop, num=50, endpoint=True, retstep=False)
average(a, axis=None weights=None, returned=False)
unique1d(ar1, retindx=False)
If unique1d is going to
On 9/18/06, Bill Baxter [EMAIL PROTECTED] wrote:
On 9/19/06, Charles R Harris [EMAIL PROTECTED] wrote: On 9/18/06, Bill Baxter [EMAIL PROTECTED] wrote:
I find myself often wanting both the max and the argmax of an array. (And same for the other arg* functions) You have to do something like a
On 9/18/06, Charles R Harris [EMAIL PROTECTED] wrote:
On 9/18/06, Bill Baxter
[EMAIL PROTECTED] wrote:
On 9/19/06, Charles R Harris [EMAIL PROTECTED] wrote: On 9/18/06, Bill Baxter
[EMAIL PROTECTED] wrote:
I find myself often wanting both the max and the argmax of an array. (And same for the
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