How do I get the array with maximum value from an array of arrays only considering one specific elememnt per array

Question

I have an array like this:

[[0, 46.0], [1, 83.0], [2, 111.0], [3, 18.0], [4, 37.0], [5, 55.0], [6, 0.0], [7, 9.0], [8, 9.0]]

I want to return the array where the second element is the highest. In this example: [2, 111]

How can I do that?

Until now I have tried numpy.amax(array, axis=0) and numpy.amax(array, axis=1). But they do not consider my condition, that I just want to consider the last element per array.

Does this answer your question? find row or column containing maximum value in numpy array — Nathan Furnal
– Nathan Furnal, Commented Dec 22, 2020 at 18:18
@Asocia your solution works fine for me. In the answer section s.o. gave the same answer. As your answer came sooner I would recognize your answer as solution if you would post it in the answer section. — Johnny
– Johnny, Commented Dec 22, 2020 at 18:41

Mureinik · Accepted Answer · 2020-12-22 18:09:50Z

0

You could use max with a key argument:

result = max(arr, key = lambda x : x[1])

answered Dec 22, 2020 at 18:09

Mureinik

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Quang Hoang · Accepted Answer · 2020-12-22 18:20:26Z

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If you array is an numpy array, you can use np.argmax to get the index and slice:

a[np.argmax(a[:,1])]
# array([  2., 111.])

answered Dec 22, 2020 at 18:20

Quang Hoang

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