I am out of the office until 05/18/2011.
I am out of the office traveling Wed - Thursday, May 11-12 and
Saturday-Tuesday, May 14-17.
I will have limited access to email during this time, so I will be delayed
in responding.
Note: This is an automated response to your message "NumPy-Discussion
> It is possible that we can make an exception for inputs and outputs
> that overlap each other and pick a standard traversal. In those cases,
> the order of traversal can affect the semantics,
Exactly. If there is no overlap then it does not matter and can potentially
be done in parallel. On the
On Thu, May 12, 2011 at 16:21, srean wrote:
> Hi,
>
> is there a guarantee that ufuncs will execute left to right and in
> sequential order ?
By which you mean that it will traverse the elements in a 1D array
left-to-right? No, this is not guaranteed. numpy reserves the right to
reorder the com
Hi,
is there a guarantee that ufuncs will execute left to right and in
sequential order ? For instance is the following code standards compliant ?
>>> import numpy as n
>>> a=n.arange(0,5)
array([0, 1, 2, 3, 4])
>>> n.add(a[0:-1], a[1:], a[0:-1])
array([1, 3, 5, 7])
The idea was to reuse and h
Hi,
I think tickets 1323, 1324 and 1325 have a common source of error and,
thus, are duplicates.
http://projects.scipy.org/numpy/ticket/1323
http://projects.scipy.org/numpy/ticket/1324
http://projects.scipy.org/numpy/ticket/1325
These tickets could be closed just because Red Hat Enterprise Linux
On Thu, May 12, 2011 at 4:14 PM, Jose Gomez-Dans wrote:
> Hi,
>
> We have some fortran code that we'd like to wrap using f2py. The code
> consists of a library that we compile into an .so file, and a file that
> wraps that library, which is then wrapped by f2py to provide a clean
> interface to th
Hi,
We have some fortran code that we'd like to wrap using f2py. The code
consists of a library that we compile into an .so file, and a file that
wraps that library, which is then wrapped by f2py to provide a clean
interface to the library. The process thus includes two steps:
1.- Use a makefile t
Merci beaucoup beaucoup!!
2011/5/12 Éric Depagne
> Le jeudi 12 mai 2011 12:21:46, Claudia Chan Yone a écrit :
> > Hi,
> >
> > I have a problem with the Numpy module, but I think it is a very basic
> > issue for many of you...
> > I have a file with numerical data (2 columns, and 5 lignes) as :
>
Le jeudi 12 mai 2011 12:21:46, Claudia Chan Yone a écrit :
> Hi,
>
> I have a problem with the Numpy module, but I think it is a very basic
> issue for many of you...
> I have a file with numerical data (2 columns, and 5 lignes) as :
> 1 2
> 3 4
> ... ...
>
> And I woulid like to convert it in a
Sorry you don't have to transpose the matrix...
Youngung Jeong
On Thu, May 12, 2011 at 7:30 PM, Youngung Jeong wrote:
> Hello,
>
> Use np.loadtxt
>
> >>> a = np.loadtxt(filename) ##in case no rows to skip.
> >>> a = a.transpose() ##in your case, I guess you should
> tra
Hello,
Use np.loadtxt
>>> a = np.loadtxt(filename) ##in case no rows to skip.
>>> a = a.transpose() ##in your case, I guess you should
transpose it..
Youngung Jeong
On Thu, May 12, 2011 at 7:21 PM, Claudia Chan Yone <
chanyone.clau...@gmail.com> wrote:
> Hi,
>
> I ha
On Thu, May 12, 2011 at 12:21:46PM +0200, Claudia Chan Yone wrote:
> Hi,
>
> I have a problem with the Numpy module, but I think it is a very basic issue
> for many of you...
> I have a file with numerical data (2 columns, and 5 lignes) as :
> 1 2
> 3 4
> ... ...
>
> And I woulid like to convert
Hi,
I have a problem with the Numpy module, but I think it is a very basic issue
for many of you...
I have a file with numerical data (2 columns, and 5 lignes) as :
1 2
3 4
... ...
And I woulid like to convert it in a matrix as :
[[1,2]
[3,4]
...]
My python script is :
fic=open('file.txt','r')
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