On Fri, May 15, 2009 at 7:48 PM, Eric Firing wrote:
>
> http://www.mail-archive.com/numpy-discussion@scipy.org/msg17595.html
>
> Prompted by the thread above, I decided to see what it would take to
> implement ufuncs with masking in C. I described the result here:
>
> http://www.mail-archive.com
http://www.mail-archive.com/numpy-discussion@scipy.org/msg17595.html
Prompted by the thread above, I decided to see what it would take to
implement ufuncs with masking in C. I described the result here:
http://www.mail-archive.com/numpy-discussion@scipy.org/msg17698.html
Now I am starting a n
On Fri, May 15, 2009 at 5:39 PM, David Huard wrote:
> Josef,
>
> You're right, you can see it as a moving average. For 1D, correlate(a,
> [5,.5]) yields what I expect but does not take an axis keyword. For the 2D
> case, I'm rather looking for
>
ndimage.filters.correlate(b,0.25*np.ones((2,2))
Josef,
You're right, you can see it as a moving average. For 1D, correlate(a,
[5,.5]) yields what I expect but does not take an axis keyword. For the 2D
case, I'm rather looking for
>>> ndimage.filters.correlate(b,0.25*np.ones((2,2)))[1:,1:]
So another one-liner... maybe not worth adding to the
On Fri, May 15, 2009 at 4:09 PM, David Huard wrote:
> Pauli and David,
>
> Can this indexing syntax do things that are otherwise awkward with the
> current syntax ? Otherwise, I'm not warm to the idea of making indexing more
> complex than it is.
>
> getv : this is useful but it feels a bit redund
Pauli and David,
Can this indexing syntax do things that are otherwise awkward with the
current syntax ? Otherwise, I'm not warm to the idea of making indexing more
complex than it is.
getv : this is useful but it feels a bit redundant with numpy.take. Is there
a reason why take could not support
Pierre GM wrote:
> On May 13, 2009, at 7:36 PM, Matt Knox wrote:
>>> Here's the catch: it's basically cheating. I got rid of the pre-
>>> processing (where a mask was calculated depending on the domain and
>>> the input set to a filling value depending on this mask, before the
>>> actual computatio
