Hmm. Yes maybe a shift w/fill would be useful too. I can't recall needing such a thing, but it could probably also be implemented easily in a way similar to roll() above. A multi-axis roll might also be nice. Could just allow roll's shiftby and axis args to be tuples.
Looking closer at the existing 'rollaxis', numpy.rollaxis(a, axis, start=0) if a.shape is (3,4,5,6) rollaxis(a, 3, 1).shape is (3,6,4,5) rollaxis(a, 2, 0).shape is (5,3,4,6) rollaxis(a, 1, 3).shape is (3,5,4,6) rollaxis(a, 1, 4).shape is (3,5,6,4) it occurs to me that what it is actually doing is not what we've been calling 'rolling'. It's just a move, really (remove value from one place and re-insert in another). So perhaps the name should be 'moveaxis' instead? --bb On 9/25/06, Alan G Isaac <[EMAIL PROTECTED]> wrote: > On Mon, 25 Sep 2006, Bill Baxter apparently wrote: > > Went ahead and added an enhancement request: > > http://projects.scipy.org/scipy/numpy/ticket/293 > > This is something I've wanted in the past too. > > > GAUSS draws a useful distinction between "shifting" and > "rotating": > > Works roughly like this for the 2D case: > > #rotater: rotate row elements > # Format: y = rotater(x,r) > # rotater(x,r) > # Input: x RxK array > # rotateby size R integer array, or integer (rotation amounts) > # Output: y RxK array: > # rows rotated by rotateby > > #shiftr: shift row elements and fill with fv > # Format: y = shiftr(x,shiftby,fv) > # Input: x RxC array > # shiftby Rx1 array or scalar (shift amounts) > # fv Rx1 array or scalar (fill values) > # Output: y RxC array: > # rows shifted by shiftby > # rows filled with fill > > fwiw, > Alan Isaac ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion