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? Because this is also bad: >>> np.<TAB> Display all 561 possibilities? (y or n) Ralf
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