Dimension reduction

Charles R Harris charlesr.harris at gmail.com
Thu Oct 19 11:54:52 CDT 2006


On 10/19/06, David Huard <david.huard at gmail.com> wrote:
>
> Hi,
>
> Is there an elegant way to reduce an array but conserve the reduced
> dimension ?
>
> Currently,
> >>> a = random.random((10,10,10))
> >>> a.sum(1).shape
> (10,10)
>
> but i'd like to keep (10,1,10) so I can do a/a.sum(1) directly.


In [8]: a.sum(1)[:,newaxis,:].shape
Out[8]: (10, 1, 10)

Don't know if this is as universal as you want, but it works for this.
Robert's answer is more general.

Chuck
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://projects.scipy.org/pipermail/numpy-discussion/attachments/20061019/fb0cecfd/attachment-0001.html 
-------------- next part --------------
-------------------------------------------------------------------------
Using Tomcat but need to do more? Need to support web services, security?
Get stuff done quickly with pre-integrated technology to make your job easier
Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo
http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642
-------------- next part --------------
_______________________________________________
Numpy-discussion mailing list
Numpy-discussion at lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/numpy-discussion


More information about the Numpy-discussion mailing list