[Numpy-discussion] ndarray.clip only with lower or upper values?
Timothy Hochberg
tim.hochberg at ieee.org
Tue Dec 11 10:59:45 EST 2007
On Dec 11, 2007 2:32 AM, Hans Meine <meine at informatik.uni-hamburg.de> wrote:
> Am Montag, 10. Dezember 2007 23:46:17 schrieb Timothy Hochberg:
> > > TypeError: function takes at least 2 arguments (1 given)
> > >
> > > (I could simulate that by passing max = maximum_value_of(a.dtype), if
> > > that existed, see my other mail.)
> >
> > Why not just use minimum or maximum as needed instead of overloading
> clip?
>
> You mean one of the following?
> a.clip(min = 10, max = numpy.finfo(a.dtype).max)
> a.clip(min = 10, max = numpy.iinfo(a.dtype).max)
No. I mean:
numpy.maximum(a, 10)
To correspond to the above example.
>
> Three reasons:
> - this is not very concise
> - it is less efficient than specialized clip variants
> (not much / too important though)
> - I would have to discriminate integral and floating point types
>
> How is the latter done in numpy? Is there a good reason not to have
> numpy.rangetraits(sometype) with min/max as in iinfo/finfo?
> Should I use isinstance(mytype, int)?
>
> --
> Ciao, / /
> /--/
> / / ANS
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. tim.hochberg at ieee.org
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