A Divendres 13 Octubre 2006 22:20, Lisandro Dalcin va escriure:
On 10/13/06, Francesc Altet [EMAIL PROTECTED] wrote:
Is it possible to test a numpy version directly from the source
directory without having to install it?
I usually do:
$ python setup.py build
$ python setup.py install
Charles R Harris wrote:
Travis,
I note that
a = arange(6).reshape(2,3,order='F')
a
array([[0, 1, 2],
[3, 4, 5]])
Shouldn't that be 3x2? Or maybe [[0,2,4],[1,3,5]]? Reshape is making a
copy, but flat, flatten, and tostring all show the elements in 'C'
order. I ask because I
Hi,
I'm looking for an easy way to access the data area of the numpy scalars no
matter its type. I've seen that numpy/arrayscalars.h define a structure for
each scalar type, so I'd guess that it will not be possible to find a general
way for accessing the data buffer for each type. So, I've
Francesc Altet wrote:
Hi,
I'm looking for an easy way to access the data area of the numpy scalars no
matter its type. I've seen that numpy/arrayscalars.h define a structure for
each scalar type, so I'd guess that it will not be possible to find a general
way for accessing the data buffer
A Dimarts 17 Octubre 2006 18:22, Travis Oliphant va escriure:
2.- Fetch the buffer in scalartype.data and use the buffer protocol in
order to access the pointer to data in memory. However, I lack experience
in buffer protocol, so suggestions for achieving this are welcome.
This will also
On Tue, Oct 17, 2006 at 10:01:51AM -0600, Travis Oliphant wrote:
Charles R Harris wrote:
Travis,
I note that
a = arange(6).reshape(2,3,order='F')
a
array([[0, 1, 2],
[3, 4, 5]])
Shouldn't that be 3x2? Or maybe [[0,2,4],[1,3,5]]? Reshape is making a
copy, but
Stefan van der Walt wrote:
On Tue, Oct 17, 2006 at 10:01:51AM -0600, Travis Oliphant wrote:
Charles R Harris wrote:
Travis,
I note that
a = arange(6).reshape(2,3,order='F')
a
array([[0, 1, 2],
[3, 4, 5]])
Shouldn't that be 3x2? Or maybe
I would like to use the built-in array_repr in numpy, because
I need a fast repr that does not contain new line characters.
I see no way of doing this without editing the code in numeric.py,
and I hate to edit other people's libraries.
from numpy import array
causes numeric.py to be executed,
On 10/17/06, Travis Oliphant [EMAIL PROTECTED] wrote:
Travis Oliphant wrote:Charles R Harris wrote:snip
The long-standing behavior is to raise the error on possible-lossconversion and so my opinion is that we should continue with that behavior.But, on the other hand, it looks like numarray went
Andrew MacKeith wrote:
I would like to use the built-in array_repr in numpy, because
I need a fast repr that does not contain new line characters.
I see no way of doing this without editing the code in numeric.py,
and I hate to edit other people's libraries.
from numpy import array
causes
On 10/17/06, Travis Oliphant [EMAIL PROTECTED] wrote:
The require command can help you get the right kind of
array for that purpose.
BTW, Travis
In [1]: numpy.__version__
Out[1]: '1.0rc2'
In [2]: print numpy.require.__doc__
None
What is this 'requirements' argument? What should user pass
On 10/17/06, Travis Oliphant [EMAIL PROTECTED] wrote:
Or you can use the Python C-API
const char *buffer;
Py_ssize_t buflen;
PyObject_AsReadBuffer(scalar, (const void **)buffer, buflen)
to retrieve a pointer to the data in buffer and the size of the data in
buflen.
Travis. Have numpy
Travis Oliphant wrote:
Andrew MacKeith wrote:
I would like to use the built-in array_repr in numpy, because
I need a fast repr that does not contain new line characters.
I see no way of doing this without editing the code in numeric.py,
and I hate to edit other people's libraries.
On 10/12/06, Cristian Codorean [EMAIL PROTECTED] wrote:
Hello list, I got some old code that uses Scientific and Numeric. Recently, these two packages were updated to the latest versions together with python and my code started failing. The first major problem I have is when downcasting. Code
On 10/13/06, Stefan van der Walt [EMAIL PROTECTED] wrote:
Hi all,I've noticed that 'astype' always forces a copy.Is thisbehaviour intended?It seems to conflict with 'asarray', thattries to avoid a copy.For example, when wrapping code in ctypes, the following snippet
would have been useful:def
Ah!, I get it. You want to be able to reset to the C-defined
array_repr function. The one that gets over-written on import.That
makes sense. And is definitely do-able.
Please file a ticket.
-Travis
-
Using
Travis Oliphant wrote:
Ah!, I get it. You want to be able to reset to the C-defined
array_repr function. The one that gets over-written on import.That
makes sense. And is definitely do-able.
Please file a ticket.
Can you point me to how to file a ticket.
Thanks
Andrew
-Travis
On 10/17/06, Andrew MacKeith [EMAIL PROTECTED] wrote:
Travis Oliphant wrote:Ah!,I get it.You want to be able to reset to the C-definedarray_repr function.The one that gets over-written on import.Thatmakes sense.And is definitely do-able.
Please file a ticket.Can you point me to how to file a
Kenny Ortmann wrote:
just looking for some help, most of the time you guys are good with matlab
code, i am trying to use the filter function under this setting
y = filter(b,a,X) filters the data in vector X with the filter described by
numerator coefficient vector b and denominator coefficient
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Hi all,
Some of you may have seen the interesting thread on Fortran-ordering
earlier. I thought it might be fun to set up a short quiz which tests
your knowledge on the topic.
If you're up for the challenge, take a look at
http://mentat.za.net/numpy/quiz
I won't be held liable for any
Hi,
I got strange discrepance between 2.4+0.9.8 and 2.5+1.0rc2:
model_lib_pool %0 !5019$ python2.5
Python 2.5 (r25:51908, Oct 17 2006, 16:16:21)
[GCC 3.2.3 20030502 (Red Hat Linux 3.2.3-14)] on linux2
Type help, copyright, credits or license for more information.
f from numpy import *
Charles R Harris wrote:
On 10/17/06, Andrew MacKeith [EMAIL PROTECTED]
wrote:
Travis
Oliphant wrote:
Ah!,I get it.You want to be able to reset to the C-defined
array_repr function.The one that gets over-written on
import.That
makes sense.And is definitely do-able.
Please
I think the answer to #3 is wrong.
From 1.0rc2 I get:
array([1,2,3,4,5,6],order='C').reshape((2,3),order='F')
array([[1, 2, 3],
[4, 5, 6]])
But the quiz wants me to answer something different.
--bb
-
Using Tomcat
Lisandro Dalcin wrote:
I was surprised by this
In [14]: array([[1,2,3],[4,5,6]]).reshape((3,2),order='F')
Out[14]:
array([[1, 5],
[4, 3],
[2, 6]])
In [15]: array([1,2,3,4,5,6]).reshape((3,2),order='F')
Out[15]:
array([[1, 2],
[3, 4],
[5, 6]])
This is a
On Wed, Oct 18, 2006 at 10:30:26AM +0900, Bill Baxter wrote:
I think the answer to #3 is wrong.
From 1.0rc2 I get:
array([1,2,3,4,5,6],order='C').reshape((2,3),order='F')
array([[1, 2, 3],
[4, 5, 6]])
But the quiz wants me to answer something different.
This recently changed.
Charles R Harris wrote:
On 10/17/06, *Lisandro Dalcin* [EMAIL PROTECTED]
mailto:[EMAIL PROTECTED] wrote:
I was surprised by this
In [14]: array([[1,2,3],[4,5,6]]).reshape((3,2),order='F')
Out[14]:
array([[1, 5],
[4, 3],
[2, 6]])
This one still
On 10/17/06, Travis Oliphant [EMAIL PROTECTED] wrote:
Charles R Harris wrote: On 10/17/06, *Lisandro Dalcin* [EMAIL PROTECTED] mailto:[EMAIL PROTECTED] wrote:
I was surprised by this In [14]: array([[1,2,3],[4,5,6]]).reshape((3,2),order='F') Out[14]: array([[1, 5],[4, 3],[2, 6]])
This one still
On 10/17/06, Travis Oliphant [EMAIL PROTECTED] wrote:
Charles R Harris wrote: On 10/17/06, *Lisandro Dalcin* [EMAIL PROTECTED] mailto:[EMAIL PROTECTED] wrote:
I was surprised by this In [14]: array([[1,2,3],[4,5,6]]).reshape((3,2),order='F') Out[14]: array([[1, 5],[4, 3],[2, 6]])
This one still
On 17/10/06, Charles R Harris [EMAIL PROTECTED] wrote:
On 10/17/06, Travis Oliphant [EMAIL PROTECTED] wrote:
Thus, reshape does the equivalent of a Fortran ravel to [1,4,2,5,3,6]
and then a Fortran-order based fill of an empty (3,2) array: giving you
the result.
Why a Fortran ravel? I
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