Bill Baxter wrote: > Iteration over axis 0 is built-in, so you can already do > (vectorFunc(row) for row in array) > And you can use transpose() to make it so the axis you want to iterate > over is axis 0. > (vectorFunc(col) for col in array.transpose(1,0)) > Or just use the .T attribute > (vectorFunc(col) for col in array.T) > > So it seems kind of a toss-up whether it's worth adding a specific API > to do that. The implementation would probably just return the > transpose with the given axis in the zero slot. Something like: > > def axisiter(arr, i): > ax = [i] + range(arr.ndim) > del ax[i+1] > return arr.transpose(ax) > > --bb > Isn't swapaxis appropriate for this? In other words:
for x in arr.swapaxis(0, i): #... should be more or less the same as: for x in axister(arr, i): #.... and it already exists. I'm in a hurry, so I haven't checked the details here, but the basic idea seems sound. -tim > On 9/15/06, Brendan Simons <[EMAIL PROTECTED]> wrote: > >> Hi all, >> >> Just wondering if there was an arbitrary axis iterator in numpy, or >> if not, if there's demand for one. What I'm looking for is something >> which would allow me to do something like (vectorFunc(column) for >> column in array.axisIter(1) ) without a bunch of for loops and slicing. >> >> Thoughts? >> Brendan >> > > ------------------------------------------------------------------------- > 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