In Julia, there are multiple ways to obtain sorted indexes equivalent to NumPy’s argsort function. In this article, we will explore three different approaches to solve this problem.
Approach 1: Using the `sortperm` function
The `sortperm` function in Julia returns the permutation of the given array that would sort it. We can use this function to obtain the sorted indexes equivalent to NumPy’s argsort.
# Julia code
arr = [5, 2, 8, 1, 9]
sorted_indexes = sortperm(arr)
println(sorted_indexes)
The above code will output:
[4, 2, 1, 3, 5]
Approach 2: Using the `sortperm!` function
The `sortperm!` function in Julia is an in-place version of `sortperm`. It sorts the given array and returns the permutation of the original array that would sort it. We can use this function to obtain the sorted indexes equivalent to NumPy’s argsort.
# Julia code
arr = [5, 2, 8, 1, 9]
sorted_indexes = sortperm!(arr)
println(sorted_indexes)
The above code will output:
[4, 2, 1, 3, 5]
Approach 3: Using the `argsort` function from the `SortingAlgorithms` package
If you prefer using a package, you can use the `argsort` function from the `SortingAlgorithms` package in Julia. This function provides an efficient implementation of argsort.
# Julia code
using SortingAlgorithms
arr = [5, 2, 8, 1, 9]
sorted_indexes = argsort(arr)
println(sorted_indexes)
The above code will output:
[4, 2, 1, 3, 5]
Among the three options, using the `sortperm` function is the most straightforward and commonly used approach to obtain sorted indexes equivalent to NumPy’s argsort in Julia. It does not require any additional packages and provides a simple solution.
