[Numpy-discussion] Find indices of largest elements
Wed Apr 14 14:39:40 CDT 2010
Keith Goodman <firstname.lastname@example.org> writes:
> On Wed, Apr 14, 2010 at 8:49 AM, Keith Goodman <email@example.com> wrote:
>> On Wed, Apr 14, 2010 at 8:16 AM, Nikolaus Rath <Nikolaus@rath.org> wrote:
>>> How do I best find out the indices of the largest x elements in an
>>> a = [ [1,8,2], [2,1,3] ]
>>> magic_function(a, 2) == [ (0,1), (1,2) ]
>>> Since the largest 2 elements are at positions (0,1) and (1,2).
>> Here's a quick way to rank the data if there are no ties and no NaNs:
> ...or if you need the indices in order:
>>> shape = (3,2)
>>> x = np.random.rand(*shape)
> array([[ 0.52420123, 0.43231286],
> [ 0.97995333, 0.87416228],
> [ 0.71604075, 0.66018382]])
>>> r = x.reshape(-1).argsort().argsort()
I don't understand why this works. Why do you call argsort() twice?
Doesn't that give you the indices of the sorted indices?
»Time flies like an arrow, fruit flies like a Banana.«
PGP fingerprint: 5B93 61F8 4EA2 E279 ABF6 02CF A9AD B7F8 AE4E 425C
More information about the NumPy-Discussion