On 11/7/06, Christopher Barker <[EMAIL PROTECTED]> wrote: > HI all, > > I'm trying to get the hang of this new r_ and c_ stuff. > > I need to take two MxN arrays, and stack them together into one MxNx2 > arrays. I found this works: > > >>> a = N.ones((3,4)) > >>> b = N.ones((3,4)) * 2 > >>> a > array([[ 1., 1., 1., 1.], > [ 1., 1., 1., 1.], > [ 1., 1., 1., 1.]]) > >>> b > array([[ 2., 2., 2., 2.], > [ 2., 2., 2., 2.], > [ 2., 2., 2., 2.]]) > >>> a.shape = (3,4,1) > >>> b.shape = (3,4,1) > >>> c = N.c_[a,b] > >>> c.shape > (3, 4, 2) > >>> c[0,0] > array([ 1., 2.]) > > > What I'm wondering is if there is a way to do that without explicitly > adding the extra dimension to a and b before calling c_ ? >
c=N.dstack([a,b]) seems to do the trick. pau > -Chris > > > -- > Christopher Barker, Ph.D. > Oceanographer > > NOAA/OR&R/HAZMAT (206) 526-6959 voice > 7600 Sand Point Way NE (206) 526-6329 fax > Seattle, WA 98115 (206) 526-6317 main reception > > [EMAIL PROTECTED] > > ------------------------------------------------------------------------- > 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 > ------------------------------------------------------------------------- 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
