On Jan 31, 7:24 am, Neal Becker <ndbeck...@gmail.com> wrote: > In [31]: all is numpy.all > Out[31]: True > > Excellent detective work, Mark! But it still is unexpected, at least to me.
Agreed that it's a bit surprising. It's a consequence of NumPy's general mechanisms for converting arbitrary inputs to arrays: >>> from numpy import asarray >>> asarray([i > 0 for i in range(10)]) array([False, True, True, True, True, True, True, True, True, True], dtype=bool) >>> asarray(i > 0 for i in range(10)) array(<generator object <genexpr> at 0x4688aa8>, dtype=object) So in the second case you get a 0-dimensional array of type 'object', whose only element is that generator object; not surprisingly, the generator object is considered true. As to why it's this way: best to ask on the NumPy mailing lists. It's probably something that's quite difficult to change without breaking lots of code, though. -- Mark -- http://mail.python.org/mailman/listinfo/python-list
