josef.p...@gmail.com wrote: > 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"
I am bad in choosing names, but note that numpy sub-modules usually do not use underscores, so array_set_ops would not fit well. > BTW, for the docs, I haven't found a counter example where > np.setdiff1d gives the wrong answer for non-unique arrays. In [4]: np.setmember1d( [1, 1, 2, 4, 2], [3, 2, 4] ) Out[4]: array([ True, False, True, True, True], dtype=bool) r. _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion