On Thu, Jun 4, 2009 at 4:30 PM, Gael Varoquaux <gael.varoqu...@normalesup.org> wrote: > On Thu, Jun 04, 2009 at 10:27:11PM +0200, Kim Hansen wrote: >> "in(b)" or "in_iterable(b)" method, such that you could do a.in(b) >> which would return a boolean array of the same shape as a with >> elements true if the equivalent a members were members in the iterable >> b. > > That would really by what I would be looking for. >
Just using "in" might promise more than it does, eg. it works only for one dimensional arrays, maybe "in1d". With "in", I would expect a generic function as in python that works with many array types and dimensions. (But I haven't checked whether it would work with a 1d structured array or object array.) I found arraysetops because of unique1d, but I didn't figure out what the subpackage really does, because I was reading "arrayse-tops" instead of array-set-ops" BTW, for the docs, I haven't found a counter example where np.setdiff1d gives the wrong answer for non-unique arrays. Josef _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion