On Sat, Mar 3, 2012 at 15:22, Benjamin Root <ben.r...@ou.edu> wrote: > > > On Saturday, March 3, 2012, Robert Kern <robert.k...@gmail.com> wrote: >> On Sat, Mar 3, 2012 at 14:31, Ralf Gommers <ralf.gomm...@googlemail.com> >> wrote: >>> >>> >>> On Sat, Mar 3, 2012 at 3:05 PM, Robert Kern <robert.k...@gmail.com> >>> wrote: >>>> >>>> On Sat, Mar 3, 2012 at 13:59, Ralf Gommers <ralf.gomm...@googlemail.com> >>>> wrote: >>>> > >>>> > >>>> > On Thu, Mar 1, 2012 at 11:44 PM, Joe Kington <jking...@wisc.edu> >>>> > wrote: >>>> >> >>>> >> Is there a numpy function for testing floating point equality that >>>> >> returns >>>> >> a boolean array? >>>> >> >>>> >> I'm aware of np.allclose, but I need a boolean array. Properly >>>> >> handling >>>> >> NaN's and Inf's (as allclose does) would be a nice bonus. >>>> >> >>>> >> I wrote the function below to do this, but I suspect there's a method >>>> >> in >>>> >> numpy that I missed. >>>> > >>>> > >>>> > I don't think such a function exists, would be nice to have. How about >>>> > just >>>> > adding a keyword "return_array" to allclose to do so? >>>> >>>> As a general design principle, adding a boolean flag that changes the >>>> return type is worse than making a new function. >>> >>> >>> That's certainly true as a general principle. Do you have a concrete >>> suggestion in this case though? >> >> np.close() >> > > When I read that, I mentally think of "close" as in closing a file. I think > we need a synonym.
np.isclose() -- Robert Kern _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
