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.
Thanks,
David
------------------------------------------------------------------------- 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
_______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion