I found the solution, we should use numpy's argsort(...):
How can we get the indices of values in the original list after sorting a > list? > >> >> for example: >> >> (Pdb) A=[ 1, -1, 0, 7, 9, 1.3, 2.9 ] >> (Pdb) A.sort() >> (Pdb) A >> [-1, 0, 1, 1.3, 2.9, 7, 9] >> (Pdb) >> >> >> Now I want to have the original indices of the sorted list, i.e: >> >> [1, 2, 0, 5, 6, 3, 4] >> >> (Pdb) A=[ 1, -1, 0, 7, 9, 1.3, 2.9 ] (Pdb) sort_index = numpy.argsort(A) (Pdb) sort_index array([1, 2, 0, 5, 6, 3, 4])
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