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. Ben Root
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