On Thu, 09 Apr 2009 01:31:33 -0500, Robert Kern wrote:
> On Thu, Apr 9, 2009 at 01:29, Anne Archibald
> 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 able to say:
np.amin
On Thu, Apr 9, 2009 at 01:29, Anne Archibald 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 is made terrible by our
2009/4/9 Charles R Harris :
>
>
> On Tue, Apr 7, 2009 at 12:44 PM, Dan Lenski 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
On Tue, Apr 7, 2009 at 12:44 PM, Dan Lenski 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
> array back to
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
