NumPy: finding N largest elements in a matrix [duplicate]

Question

Edited since my last question was a duplicate, but I'm struggling with this as well. I'm currently working with a matrix and can easily find the largest element with

M[M != 1].max()

However, I'm interested in getting the N largest elements and can't find an easy way to do this with matrices. Is there an efficient solution?

Hi @planner15 - as per the link, np.where(M == M[M != 0].min()) should return the row and column indices corresponding to the minimum element. — Alex Riley
– Alex Riley, Commented Apr 17, 2015 at 16:20
The revised question is still a duplicate, see this question, and this question for finding the indices. — user2379410
– user2379410, Commented Apr 17, 2015 at 17:59
@moarningsun I saw those, but those are for arrays. Would they still apply to matrices? — planner15
– planner15, Commented Apr 17, 2015 at 18:22
@planner15: The same basic idea applies, but you may need to do some small syntactical changes. — user2379410
– user2379410, Commented Apr 17, 2015 at 19:04

ZdaR · Accepted Answer · 2015-04-17 16:21:18Z

0

Yes there is a where method which takes a condition as one of the parameter ,

minimum = M[M != 0].min()

print numpy.where(M==minimum)

answered Apr 17, 2015 at 16:21

ZdaR

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