[Numpy-discussion] max argmax combo
Charles R Harris
charlesr.harris at gmail.com
Tue Sep 19 00:18:52 CDT 2006
On 9/18/06, Charles R Harris <charlesr.harris at gmail.com> wrote:
>
>
>
> On 9/18/06, Bill Baxter <wbaxter at gmail.com> wrote:
> >
> > On 9/19/06, Charles R Harris <charlesr.harris at gmail.com> wrote:
> > > On 9/18/06, Bill Baxter <wbaxter at gmail.com> wrote:
> > > > I find myself often wanting both the max and the argmax of an array.
> > > > (And same for the other arg* functions)
> >
> > > > You have to do something like
> > > > a = rand(10,5)
> > > > imax = a.argmax(axis=0)
> > > > vmax = a[(imax, range(5))]
> > > >
> > > I don't generally like overloading return values, the function starts
> > to
> > > lose its definition and becomes a bit baroque where simply changing a
> > > keyword value can destroy the viability of the following code.
> >
> > Agreed. Seems like the only justification is if you get multiple
> > results from one calculation but only rarely want the extra values.
> > It doesn't make sense to always return them, but it's also not worth
> > making a totally different function.
> >
> >
> > > But I can see the utility of what you want. Hmm, this problem is not
> > unique to argmax.
> > > Maybe what we need is a general way to extract values, something like
> > >
> > > extract(a, imax, axis=0)
> > >
> > > to go along with all the single axis functions.
> >
> > Yes, I think that would be easier to remember.
> >
> > It should also work for the axis=None case.
> > imax = a.argmax(axis=None)
> > v = extract(a, imax, axis=None)
>
>
> It shouldn't be too difficult to jig something up given all the example
> code. I can do that, but I would like more input first. The questions I have
> are these.
>
> 1) Should it be done?
> 2) Should it be a method? (functions being somewhat deprecated)
> 3) What name should it have?
>
> I think Travis will have to weigh in on this. IIRC, he felt that the
> number of methods was getting out of hand.
>
> --Bill
>
>
> Chuck
>
I note that argsort also produces indexes that are hard to use in the ndim>1
case. The two problems aren't quite equivalent because argsort maintains
ndim while argmax reduces ndim by one, but it would be nice if there was
something that would work for both. Using imax[...,newaxis] would make the
shapes compatible for input but then the output would need to lose the
newaxis on return. Hmmm. These are both examples of an indirect indexing
problem where the indices on the specified axis are a function of the
indices on the other axis. Using the other indices in the argmax case yields
a scalar index while in the argsort case it yields a 1d array that can be
used for fancy indexing. I'm just floating around here trying to think of a
consistent way to regard these things. Ummm, and I think this could work. In
fact, the arrays could be even deeper and fancy indexing on the specified
axis would produce what was essentially an array of arrays. This is sort of
the photo-negative version of take.
Apropos the overloaded return types, I think that that is precisely what
makes it tricky to use functions that may return either copies or views. The
results should really be marked read only because otherwise unexpected
results can arise.
Chuck
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