On Thu, 09 Apr 2009 01:31:33 -0500, Robert Kern wrote:
On Thu, Apr 9, 2009 at 01:29, Anne Archibald peridot.face...@gmail.com
wrote:
What's wrong with np.amin(a,axis=-1)[...,np.newaxis]?
It's cumbersome, particularly when you have axis=arbitrary_axis.
Quite right. It would nice to be
On Tue, Apr 7, 2009 at 12:44 PM, Dan Lenski dlen...@gmail.com wrote:
Hi all,
I often want to use some kind of dimension-reducing function (like min(),
max(), sum(), mean()) on an array without actually removing the last
dimension, so that I can then do operations broadcasting the reduced
2009/4/9 Charles R Harris charlesr.har...@gmail.com:
On Tue, Apr 7, 2009 at 12:44 PM, Dan Lenski dlen...@gmail.com wrote:
Hi all,
I often want to use some kind of dimension-reducing function (like min(),
max(), sum(), mean()) on an array without actually removing the last
dimension, so
On Thu, Apr 9, 2009 at 01:29, Anne Archibald peridot.face...@gmail.com wrote:
What's wrong with np.amin(a,axis=-1)[...,np.newaxis]?
It's cumbersome, particularly when you have axis=arbitrary_axis.
--
Robert Kern
I have come to believe that the whole world is an enigma, a harmless
enigma that
Hi all,
I often want to use some kind of dimension-reducing function (like min(),
max(), sum(), mean()) on an array without actually removing the last
dimension, so that I can then do operations broadcasting the reduced
array back to the size of the full array. Full example:
table.shape
