[Numpy-discussion] Floating point "close" function?

Ralf Gommers ralf.gommers@googlemail....
Sat Mar 3 08:31:01 CST 2012


On Sat, Mar 3, 2012 at 3:05 PM, Robert Kern <robert.kern@gmail.com> wrote:

> On Sat, Mar 3, 2012 at 13:59, Ralf Gommers <ralf.gommers@googlemail.com>
> wrote:
> >
> >
> > On Thu, Mar 1, 2012 at 11:44 PM, Joe Kington <jkington@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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