On 3/23/07, Eric Firing <[EMAIL PROTECTED]> wrote:
> Sebastian Haase wrote:
> > On 3/22/07, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
> >> On Thu, Mar 22, 2007 at 08:13:22PM -0400, Brian Blais wrote:
> >>> Hello,
> >>>
> >>> I'd like to concatenate a couple of 1D arrays to make it a 2D array,
Sebastian Haase wrote:
> On 3/22/07, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
>> On Thu, Mar 22, 2007 at 08:13:22PM -0400, Brian Blais wrote:
>>> Hello,
>>>
>>> I'd like to concatenate a couple of 1D arrays to make it a 2D array, with
>>> two columns
>>> (one for each of the original 1D arra
Hi list,
maybe this is a really stupid idea, and I don't want to advertise this, but
what actually happens when I reassign the dtype of an object?
Does it return the same as array.view?
say I have the following code
In [64]: b
Out[64]:
array([[ 0, 1, 2],
[ 3, 4, 5],
[ 6, 7, 8],
Hello all,
> By the way, ringing at sharp edges is an intrinsic feature of higher-
> order spline interpolation, right? I believe this kind of interpolant
> is really intended for smooth (band-limited) data. I'm not sure why
> the pre-filtering makes a difference though; I don't yet understand
> w
On 3/22/07, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
> On Thu, Mar 22, 2007 at 08:13:22PM -0400, Brian Blais wrote:
> > Hello,
> >
> > I'd like to concatenate a couple of 1D arrays to make it a 2D array, with
> > two columns
> > (one for each of the original 1D arrays). I thought this would
Hi,
Gnosis Utils (http://www.gnosis.cx/download/Gnosis_Utils.More/) contains
several modules for XML processing, one of which (xml.pickle) serializes
objects to and from XML and has an API compatible with Python's pickle
[http://freshmeat.net/projects/gnosisxml/].
The xml.pickle module needs t
By the way, ringing at sharp edges is an intrinsic feature of higher-
order spline interpolation, right? I believe this kind of interpolant
is really intended for smooth (band-limited) data. I'm not sure why
the pre-filtering makes a difference though; I don't yet understand
well enough what the pr
On Thu, Mar 22, 2007 at 04:33:53PM -0700, Travis Oliphant wrote:
> >I would rather opt for changing the spline fitting algorithm than for
> >padding with zeros.
> >
> >
> From what I understand, the splines used in ndimage have the implicit
> mirror-symmetric boundary condition which also allow
Hi Zachary,
OK - I sent Peter the URL for your post...
Cheers,
James.
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On Thu, Mar 22, 2007 at 08:13:22PM -0400, Brian Blais wrote:
> Hello,
>
> I'd like to concatenate a couple of 1D arrays to make it a 2D array, with two
> columns
> (one for each of the original 1D arrays). I thought this would work:
>
>
> In [47]:a=arange(0,10,1)
>
> In [48]:a
> Out[48]:array
Try column_stack,
and also try the "See also" parts of the Numpy Examples List. very
handy for finding things like this.
http://www.scipy.org/Numpy_Example_List
--bb
On 3/23/07, Brian Blais <[EMAIL PROTECTED]> wrote:
> Hello,
>
> I'd like to concatenate a couple of 1D arrays to make it a 2D arra
Hello,
I'd like to concatenate a couple of 1D arrays to make it a 2D array, with two
columns
(one for each of the original 1D arrays). I thought this would work:
In [47]:a=arange(0,10,1)
In [48]:a
Out[48]:array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
In [49]:b=arange(-10,0,1)
In [51]:b
Out[51]:arra
Stefan van der Walt wrote:
>On Thu, Mar 22, 2007 at 02:41:52PM -0400, Anne Archibald wrote:
>
>
>>On 22/03/07, James Turner <[EMAIL PROTECTED]> wrote:
>>
>>
>>
>>>So, its not really a bug, its a undesired feature...
>>>
>>>
>>It is curable, though painful - you can pad the image out, g
On Thu, Mar 22, 2007 at 02:41:52PM -0400, Anne Archibald wrote:
> On 22/03/07, James Turner <[EMAIL PROTECTED]> wrote:
>
> > So, its not really a bug, its a undesired feature...
>
> It is curable, though painful - you can pad the image out, given an
> estimate of the size of the window. Yes, this
Charles R Harris wrote:
> All three shapes are both C_CONTIGUOUS and F_CONTIGUOUS. I think
> ignoring all 1's in the shape would give the right results for
> otherwise contiguous arrays because in those positions the index can
> only take the value 0.
>
I've thought about this before too. But
Example.
In [18]:a = array([1,2,3])
In [19]:a.flags
Out[19]:
C_CONTIGUOUS : True
F_CONTIGUOUS : True
OWNDATA : True
WRITEABLE : True
ALIGNED : True
UPDATEIFCOPY : False
In [20]:a.shape = (1,3)
In [21]:a.flags
Out[21]:
C_CONTIGUOUS : True
F_CONTIGUOUS : False
OWNDATA : True
WRITEABLE
Hi James,
Would it be possible to ask Peter if he knows anything that could
help us resolve scipy ticket 213 ( http://projects.scipy.org/scipy/
scipy/ticket/213 )?
The basic issue is that ndimage.spline_filter seems to introduce
nasty ringing artifacts, which make all of the geometric transf
On 22/03/07, James Turner <[EMAIL PROTECTED]> wrote:
> So, its not really a bug, its a undesired feature...
It is curable, though painful - you can pad the image out, given an
estimate of the size of the window. Yes, this sucks.
Anne.
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The people at STScI put me in touch with Peter Verveer, the author of
nd_image. Unfortunately Peter is currently unable to maintain the code
(either in numarray or scipy), but he did send me some comments on the
problem discussed in this thread. Here's what he said:
James.
-
Hi James,
Yes,
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