On Tuesday, January 31, 2012, Alan G Isaac <alan.is...@gmail.com> wrote: > On 1/31/2012 8:26 AM, Neal Becker wrote: >> I was just bitten by this unexpected behavior: >> >> In [24]: all ([i> 0 for i in xrange (10)]) >> Out[24]: False >> >> In [25]: all (i> 0 for i in xrange (10)) >> Out[25]: True >> >> Turns out: >> In [31]: all is numpy.all >> Out[31]: True > > >>>> np.array([i> 0 for i in xrange (10)]) > array([False, True, True, True, True, True, True, True, True, True], dtype=bool) >>>> np.array(i> 0 for i in xrange (10)) > array(<generator object <genexpr> at 0x0267A210>, dtype=object) >>>> import this > > > Cheers, > Alan >
Is np.all() using np.array() or np.asanyarray()? If the latter, I would expect it to return a numpy array from a generator. If the former, why isn't it using asanyarray()? Ben Root
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