Vincent Schut wrote: > Hi list, > > probably I'm just missing something obvious, but I'm looking for a > function/construcion to sum (or better, apply any numpy function) over > all but one axis. Like when I have a nD array A, it will give me a 1D > array with the sums of A[i, ...], but the axis that is retained in the > result of course should be an argument to that function. > I thought 'apply_along_axis' would do the trick, but it does not. If I > apply that to a 3d array, it results in a 2d array instead of a 1d array. > > Of course I can easily loop over that axis, but if possible I'd like to > prevent array loops... > > Vincent. > Replying to self... the 'solution' I just found is this: 1: create a list 'axes' with the numbers of all axes except the one I want to retain 2: use numpy.apply_over_axes(function, array, axes).flatten()
If anyone knows a better / more elegant solution or any related comments of course I'd still like to hear that. :-) VS. ------------------------------------------------------------------------- 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
