Christian Kristukat wrote: >>> Ok. Does axis=None then mean, that take(a, ind) operates on the >>> flattened array? >>> Yes, that is correct.
> Sorry, I never really read about what are ufuncs. I thought those are class > methods of the ndarray objects... Anyway, I was refering to the following > difference: > > In [7]: a > Out[7]: > array([[ 0, 1, 2, 3, 4, 5], > [ 6, 7, 8, 9, 10, 11]]) > > In [8]: a.take([0]) > Out[8]: array([[0, 1, 2, 3, 4, 5]]) > > In [9]: take(a,[0]) > Out[9]: array([0]) > Doh!. That is a bug. take(a,[0]) is correct a.take([0]) is not correct. -Travis ------------------------------------------------------------------------- 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
