The __index__ method returns an integer from an array.
The current behavior follows the idea of "return an integer if there is
1-element in the array"
Your suggestion is to only return an integer if it is a rank-0 array, otherwise
raise an error.
This could potentially be changed in Nu
On Thu, Oct 28, 2010 at 16:37, Ian Stokes-Rees
wrote:
>
>
> On 10/28/10 5:29 PM, Robert Kern wrote:
>> On Thu, Oct 28, 2010 at 15:17, Ian Stokes-Rees
>> wrote:
>>> I have an ndarray with named dimensions. I find myself writing some
>>> fairly laborious code with lots of square brackets and quote
On 10/28/10 5:29 PM, Robert Kern wrote:
> On Thu, Oct 28, 2010 at 15:17, Ian Stokes-Rees
> wrote:
>> I have an ndarray with named dimensions. I find myself writing some
>> fairly laborious code with lots of square brackets and quotes. It seems
>> like it wouldn't be such a big deal to overload
On Thu, Oct 28, 2010 at 15:17, Ian Stokes-Rees
wrote:
> I have an ndarray with named dimensions. I find myself writing some
> fairly laborious code with lots of square brackets and quotes. It seems
> like it wouldn't be such a big deal to overload __getattribute__ so
> instead of doing:
>
> r =
On 10/28/10 1:25 PM, Darren Dale wrote:
>>> No, I did not. You are right, this shows \r\n. Why is it necessary to
>>> open them as binary? IIUC (OIDUC), one should use 'rU' to unify line
>>> endings.
> Although, on a mac:
>
> In [1]:
> open('tools/win32build/nsis_scripts/numpy-superinstaller.nsi
I have an ndarray with named dimensions. I find myself writing some
fairly laborious code with lots of square brackets and quotes. It seems
like it wouldn't be such a big deal to overload __getattribute__ so
instead of doing:
r = genfromtxt('results.dat',dtype=[('a','int'), ('b', 'f8'),
('c','in
On Thu, Oct 28, 2010 at 3:23 PM, wrote:
> On Thu, Oct 28, 2010 at 2:40 PM, Darren Dale wrote:
>> On Thu, Oct 28, 2010 at 12:23 PM, wrote:
>>> On Thu, Oct 28, 2010 at 12:11 PM, Charles R Harris
On Thu, Oct 28, 2010 at 9:23 AM, Darren Dale wrote:
> And now the bad news: I have not been
hmm, I have just realized that I forgot to upload the new version to pypi:
it is now available on
http://pypi.python.org/pypi/algopy
On Thu, Oct 28, 2010 at 10:47 AM, Sebastian Walter
wrote:
> On Wed, Oct 27, 2010 at 10:50 PM, Nicolai Heitz wrote:
>> m 27.10.2010 02:02, schrieb Sebastian Walter
On Thu, Oct 28, 2010 at 2:40 PM, Darren Dale wrote:
> On Thu, Oct 28, 2010 at 12:23 PM, wrote:
>> On Thu, Oct 28, 2010 at 12:11 PM, Charles R Harris
>>> On Thu, Oct 28, 2010 at 9:23 AM, Darren Dale wrote:
And now the bad news: I have not been able to verify that Git respects
the autoc
On Thu, Oct 28, 2010 at 12:23 PM, wrote:
> On Thu, Oct 28, 2010 at 12:11 PM, Charles R Harris
>> On Thu, Oct 28, 2010 at 9:23 AM, Darren Dale wrote:
>>> And now the bad news: I have not been able to verify that Git respects
>>> the autocrlf setting or the eol setting in .gitattributes on my
>>>
On Thu, Oct 28, 2010 at 12:47, Brennan Williams
wrote:
> On 29/10/2010 6:35 a.m., Robert Kern wrote:
>> On Thu, Oct 28, 2010 at 12:33, Brennan Williams
>> wrote:
>>> On 29/10/2010 2:34 a.m., Robert Kern wrote:
On Thu, Oct 28, 2010 at 06:38, Brennan Williams
wrote:
> I hav
On 29/10/2010 6:35 a.m., Robert Kern wrote:
> On Thu, Oct 28, 2010 at 12:33, Brennan Williams
> wrote:
>> On 29/10/2010 2:34 a.m., Robert Kern wrote:
>>> On Thu, Oct 28, 2010 at 06:38, Brennan Williams
>>> wrote:
I have used both linear least squares and radial basis functions as
On Thu, Oct 28, 2010 at 12:33, Brennan Williams
wrote:
> On 29/10/2010 2:34 a.m., Robert Kern wrote:
>> On Thu, Oct 28, 2010 at 06:38, Brennan Williams
>> wrote:
>>> I have used both linear least squares and radial basis functions as a
>>> proxy equation, calculated from the results of comput
On 29/10/2010 2:34 a.m., Robert Kern wrote:
> On Thu, Oct 28, 2010 at 06:38, Brennan Williams
> wrote:
>> I have used both linear least squares and radial basis functions as a
>> proxy equation, calculated from the results of computer simulations
>> which are calculating some objective functi
On Thu, Oct 28, 2010 at 12:11 PM, Charles R Harris
wrote:
>
>
> On Thu, Oct 28, 2010 at 9:23 AM, Darren Dale wrote:
>>
>> Hi Chuck,
>>
>> On Wed, Oct 27, 2010 at 1:30 PM, Charles R Harris
>> wrote:
>> >
>> > I'd like to do something here, but I'm waiting for a consensus and for
>> > someone to t
On Thu, Oct 28, 2010 at 9:23 AM, Darren Dale wrote:
> Hi Chuck,
>
> On Wed, Oct 27, 2010 at 1:30 PM, Charles R Harris
> wrote:
> >
> > I'd like to do something here, but I'm waiting for a consensus and for
> > someone to test things out, maybe with a test repo, to make sure things
> > operate co
Hi Chuck,
On Wed, Oct 27, 2010 at 1:30 PM, Charles R Harris
wrote:
>
> I'd like to do something here, but I'm waiting for a consensus and for
> someone to test things out, maybe with a test repo, to make sure things
> operate correctly. The documentation isn't that clear...
I am getting ready to
On Thu, Oct 28, 2010 at 06:38, Brennan Williams
wrote:
> I have used both linear least squares and radial basis functions as a
> proxy equation, calculated from the results of computer simulations
> which are calculating some objective function value based on a number of
> varied input parameters
On 26 October 2010 21:02, Dewald Pieterse wrote:
> I see my slicing was the problem, np.vstack((test[:1], test)) works
> perfectly.
Yes and no. np.newaxis (or "None" for short) is a very useful tool;
you just stick it in an index expression and it adds an axis of length
one there. If what you rea
I have used both linear least squares and radial basis functions as a
proxy equation, calculated from the results of computer simulations
which are calculating some objective function value based on a number of
varied input parameters.
As an alternative option I want to add a quadratic functi
On Wed, Oct 27, 2010 at 10:50 PM, Nicolai Heitz wrote:
> m 27.10.2010 02:02, schrieb Sebastian Walter:
>
>> On Wed, Oct 27, 2010 at 12:59 AM, Pauli Virtanen wrote:
>>> Tue, 26 Oct 2010 14:24:39 -0700, Nicolai Heitz wrote:
> http://mail.scipy.org/mailman/listinfo/scipy-user
I conta
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