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BUG: numpy.argsort #22020

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MrTheyosyos opened this issue Jul 21, 2022 · 1 comment
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BUG: numpy.argsort #22020

MrTheyosyos opened this issue Jul 21, 2022 · 1 comment
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@MrTheyosyos
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Describe the issue:

wrong output.

Reproduce the code example:

import numpy as np

mat = np.array([[7,5,1,6],[1,9,8,2],[2,7,3,8]])

mat
>>array([[7, 5, 1, 6],
         [1, 9, 8, 2],
         [2, 7, 3, 8]])

np.argsort(mat, axis=1)
>>array([[2, 1, 3, 0],
         [0, 3, 2, 1],
         [0, 2, 1, 3]])


# expected:
array([[3, 1, 0, 2],
       [0, 3, 2, 1],
       [0, 2, 1, 3]])

Error message:

No response

NumPy/Python version information:

Name: numpy
Version: 1.22.3
Summary: NumPy is the fundamental package for array computing with Python.
Home-page: https://www.numpy.org
Author: Travis E. Oliphant et al.
Author-email:
License: BSD
@WarrenWeckesser
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This is a duplicate of #8757 (and several other issues reporting the same "problem").

@MrTheyosyos, argsort does not rank the values. For ranking, you can use a function such as scipy.stats.rankdata.

@WarrenWeckesser WarrenWeckesser closed this as not planned Won't fix, can't repro, duplicate, stale Jul 21, 2022
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@WarrenWeckesser @MrTheyosyos