2011/2/1 Warren Weckesser :
>> Shall I file a ticket?
>
> Yes.
Ok, #1730: http://projects.scipy.org/numpy/ticket/1730.
Thanks,
Friedrich
___
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussio
On Mon, Jan 31, 2011 at 8:32 PM, Friedrich Romstedt <
friedrichromst...@gmail.com> wrote:
> 2011/1/28 Friedrich Romstedt :
> numpy.asarray([X(), numpy.asarray([1, 1])]).shape
> > (2,)
> numpy.asarray([numpy.asarray([1, 1]), X()]).shape
> > ()
>
> Does noone have an opinion about this?
2011/1/28 Friedrich Romstedt :
numpy.asarray([X(), numpy.asarray([1, 1])]).shape
> (2,)
numpy.asarray([numpy.asarray([1, 1]), X()]).shape
> ()
Does noone have an opinion about this? Shall I file a ticket?
Friedrich
___
NumPy-Discussion mailin
On 1/31/11 4:39 AM, Robert Cimrman wrote:
> I work with text files which contain several arrays separated by a few
> lines of other information, for example:
>
> POINTS 4 float
> -5.00e-01 -5.00e-01 0.00e+00
> 5.00e-01 -5.00e-01 0.00e+00
> 5.00e-01 5.00e-01 0.00e
>>> I am using python for a while now and I have a requirement of
>>> creating a
>>> numpy array of microscopic tiff images ( this data is 3d, meaning
>>> there are
>>> 100 z slices of 512 X 512 pixels.) How can I create an array of
>>> images?
>>
>> It's quite straightforward to create a 3-d
On Tuesday 01 February 2011 03:27:22 Sturla Molden wrote:
> Den 31.01.2011 03:05, skrev Algis Kabaila:
> > Actually, the structural engineer
> > has no interest in trying to invert a singular matrix.
> > However he/she is interested (or should be interested :)
> > ) when the square response matri
Den 30.01.2011 21:40, skrev Charles R Harris:
> Well, strictly speaking, both documentations say the same thing, but
> the old version was somewhat obfuscated. Either svd returns v.H and A
> = dot(u*d, v.H) or svd returns v and A = dot(u*d,v). I think the
> second is a clearer statement of the r
Hi,
On Mon, Jan 31, 2011 at 5:15 PM, wrote:
> I have several functions like the example below that I would like to make
> compatible with array inputs. The problem is the conditional statements give
> a *ValueError: The truth value of an array with more than one element is
> ambiguous. Use a.any
Den 31.01.2011 03:05, skrev Algis Kabaila:
> Actually, the structural engineer
> has no interest in trying to invert a singular matrix. However
> he/she is interested (or should be interested :) ) when the
> square response matrix might approach singularity for this would
> signal instability.
I
Hello,
On Mon, 2011-01-31 at 10:15 -0500, dpar...@chromalloy.com wrote:
> I have several functions like the example below that I would like to
> make compatible with array inputs. The problem is the conditional
> statements give a ValueError: The truth value of an array with more
> than one elemen
I have several functions like the example below that I would like to make
compatible with array inputs. The problem is the conditional statements
give a ValueError: The truth value of an array with more than one element
is ambiguous. Use a.any() or a.all(). I can use numpy.vectorize, but if
pos
Hi,
I work with text files which contain several arrays separated by a few
lines of other information, for example:
POINTS 4 float
-5.00e-01 -5.00e-01 0.00e+00
5.00e-01 -5.00e-01 0.00e+00
5.00e-01 5.00e-01 0.00e+00
-5.00e-01 5.00e-01 0.00e+00
CELL
I'm not sure how it applies to this discussion, but I'd just like to mention
that a lot of interest (in c++ and d communities) has moved away from using
iterators as the fundamental interface to containers and to ranges as the
interface.
___
NumPy-Dis
I've been done that but with CT and MRI dicom files, and the cool
thing is that with numpy I can do something like this:
# getting axial slice
axial = slices[n,:,:]
# getting coronal slice
coronal = slices[:, n, :]
# getting sagital slice
sagital = slices[:,:, n]
On Sun, Jan 30, 2011 at 5:29 PM
14 matches
Mail list logo
