I thought about these options but what I need is excel like interface that
displays the values for each cell and one can modify and save the files.
This would be convenient way of saving large files in less space and at the
same time, see them and would remove those additional steps of writing out
View 2D arrays:
Most convenient: Matplotlib (imshow)
As surface plot: Mayavi (Matplotlib has surface plots, but it is slow for
large arrays)
Modify files:
I think the IDE spyder could help (and you can use mayavi/matplotlib within)
Nadav
-הודעה מקורית-
מאת: numpy-discussion-boun..
Currently I am exporting them to csv files, but I wonder if there is a
viewer that can be used with native numpy array files to view and preferably
modify the 2D arrays.
Any help would be appreciated.
Regards
Mayank P Jain
V R TechNiche
Transportation Modeler/Planner
Phone: +91 901 356 0583
On Thu, Sep 16, 2010 at 7:21 PM, David wrote:
> On 09/16/2010 10:30 PM, Pauli Virtanen wrote:
> > Thu, 16 Sep 2010 08:58:46 +, Pauli Virtanen wrote:
> >> The next things on the TODO list:
> >>
> >>- Update any links that point to http://svn.scipy.org/svn/numpy
> >> or talk about SVN.
On 09/16/2010 10:30 PM, Pauli Virtanen wrote:
> Thu, 16 Sep 2010 08:58:46 +, Pauli Virtanen wrote:
>> The next things on the TODO list:
>>
>>- Update any links that point to http://svn.scipy.org/svn/numpy
>> or talk about SVN.
>>
>> E.g. numpy.org needs updating.
>>
>>- Put up
I'd really love to see these two things fixed:
bugreport1.py
When comparing objects using the numpy mechanism for == or != (only
those apparently), everything is cast to an ndarray, even if this
results in an dtype=numpy.object array. E.g. for addition, this
doesn't happen.
Installing loggers
Thu, 16 Sep 2010 08:58:46 +, Pauli Virtanen wrote:
> The next things on the TODO list:
>
> - Update any links that point to http://svn.scipy.org/svn/numpy
> or talk about SVN.
>
> E.g. numpy.org needs updating.
>
> - Put up documentation on how to contribute to Numpy via Git.
>
On Wed, Sep 15, 2010 at 10:34 PM, Benjamin Root wrote:
> On Wed, Sep 15, 2010 at 8:28 AM, Ralf Gommers > wrote:
>
>>
>>
>> On Fri, Sep 10, 2010 at 12:05 AM, Peter <
>> numpy-discuss...@maubp.freeserve.co.uk> wrote:
>>
>>> Hi all,
>>>
>>> NumPy currently makes extensive use of the DeprecationWarn
I just ran across the problem of priorities with ndarrays again and it
keeps biting me. I did once ago a workaround to get my ``undarray``
class's methods be called when being the second operand of e.g.
+ . But since I wrote it, always Python crashes
on exit with the message:
Python-32(68665) m
On Thu, Sep 16, 2010 at 10:58 AM, Pauli Virtanen wrote:
> Numpy SVN repository is now frozen, and does not accept new commits.
> Future development should end up in the Git repository:
>
> http://github.com/numpy/numpy
Beautiful! It now takes mere seconds to clone NumPy (compared to
several m
Dear all,
Numpy SVN repository is now frozen, and does not accept new commits.
Future development should end up in the Git repository:
http://github.com/numpy/numpy
The next things on the TODO list:
- Update any links that point to http://svn.scipy.org/svn/numpy
or talk about SVN.
2010/9/15 Mark Fenner :
> One method of using indices seems to be as follows:
>
> In [19]: a = N.array(range(6)).reshape(3,2)
> In [20]: i = N.indices([3,2])
> In [21]: r,c = i
> In [22]: a[r,c]
> Out[22]:
> array([[0, 1],
> [2, 3],
> [4, 5]])
>
> In [23]: a[tuple(i)]
> Out[23]:
> array
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