On Tue, May 29, 2012 at 12:06 PM, Charles R Harris
wrote:
> I'd like to see these functions is scipy somewhere. The function names
> aren't very descriptive and the one line summaries don't give a very good
> idea of what they do, so I think those bits could use improvement. Mention
> of the Hough
On Tue, 29 May 2012 10:03:04 -0700
Stéfan van der Walt wrote:
> On Mon, May 28, 2012 at 11:53 AM, Travis Oliphant wrote:
> > I could see these functions going into scipy.ndimage but again because they
> > are not necessarily just image processing functions, and the fact that they
> > are so simp
On Tue, May 29, 2012 at 11:40 AM, Robert Jördens wrote:
> On Tue, May 29, 2012 at 11:03 AM, Stéfan van der Walt
> wrote:
> > On Mon, May 28, 2012 at 11:53 AM, Travis Oliphant
> wrote:
> >> I could see these functions going into scipy.ndimage but again because
> they
> >> are not necessarily jus
On Tue, May 29, 2012 at 11:03 AM, Stéfan van der Walt wrote:
> On Mon, May 28, 2012 at 11:53 AM, Travis Oliphant wrote:
>> I could see these functions going into scipy.ndimage but again because they
>> are not necessarily just image processing functions, and the fact that they
>> are so simple, p
On Mon, May 28, 2012 at 11:53 AM, Travis Oliphant wrote:
> I could see these functions going into scipy.ndimage but again because they
> are not necessarily just image processing functions, and the fact that they
> are so simple, perhaps they are best put into NumPy itself.
I'm wondering about th
On May 28, 2012, at 1:02 PM, Ralf Gommers wrote:
>
>
> On Mon, May 28, 2012 at 7:58 PM, Travis Oliphant wrote:
> I didn't see anyone respond to this, but looking over his simple and elegant
> solution it seems like a useful addition to the 2-d functions available in
> NumPy as it works with
On Mon, May 28, 2012 at 7:58 PM, Travis Oliphant wrote:
> I didn't see anyone respond to this, but looking over his simple and
> elegant solution it seems like a useful addition to the 2-d functions
> available in NumPy as it works with any 2-d array (image or matrix) and
> does a transformation o
I didn't see anyone respond to this, but looking over his simple and elegant
solution it seems like a useful addition to the 2-d functions available in
NumPy as it works with any 2-d array (image or matrix) and does a
transformation on the indices in order to organize the sum.
It is not a gene
Hi everyone,
I am proposing to add the the two following functions to
numpy/lib/twodim_base.py:
sum_angle() computes the sum of a 2-d array along an angled axis
sum_polar() computes the sum of a 2-d array along radial lines or
along azimuthal circles
https://github.com/numpy/numpy/pull/230
Comme
