sortrows

sortrows(A, [alg=,] [by=,] [lt=,] [rev=false])

Sort the rows of matrix A lexicographically.

Examples

Sort rows lexicographically:

julia> A = [3 2 1; 6 5 4; 9 8 7];
julia> sortrows(A)
3×3 Array{Int64,2}:
3  2  1
6  5  4
9  8  7

This example sorts the rows of matrix A in lexicographic order.

Sort rows based on specific columns:
```
julia> B = [3 2 1; 6 5 4; 9 8 7];
julia> sortrows(B, by = x -> x[2])
3×3 Array{Int64,2}:
3  2  1
9  8  7
6  5  4
```
By using the by argument, you can specify a transformation x -> x[2] to sort the rows based on the second column.

Sort rows in reverse order:

julia> C = [9 8 7; 6 5 4; 3 2 1];
julia> sortrows(C, rev = true)
3×3 Array{Int64,2}:
9  8  7
6  5  4
3  2  1

Setting rev = true sorts the rows in reverse order.

Specify sorting algorithm:
```
julia> D = [9 8 7; 6 5 4; 3 2 1];
julia> sortrows(D, alg = QuickSort)
3×3 Array{Int64,2}:
3  2  1
6  5  4
9  8  7
```
The alg argument allows you to specify the sorting algorithm. In this example, QuickSort is used.

Common mistake example:

julia> E = [3 2 1; 6 5 4; 9 8 7];
julia> sortrows(E, by = x -> x[4])
ERROR: BoundsError: attempt to access 3×3 Array{Int64,2} at index [CartesianIndex(1, 4)]

In this example, the by argument is attempting to access the fourth element of each row, but the matrix E only has three columns. It's important to ensure that the specified column index is within the valid range of the matrix before using sortrows.

Ac_ldiv_B, Ac_ldiv_Bc, Ac_mul_B, Ac_mul_Bc, Ac_rdiv_B, Ac_rdiv_Bc, At_ldiv_B, At_ldiv_Bt, At_mul_B, At_mul_Bt, At_rdiv_B, At_rdiv_Bt, A_ldiv_Bc, A_ldiv_Bt, A_mul_B!, A_mul_Bc, A_mul_Bt, A_rdiv_Bc, A_rdiv_Bt, Bidiagonal, cond, conv2, det, diag, diagind, diagm, diff, eig, eigvals, eigvecs, expm, eye, full, inv, isdiag, ishermitian, isposdef, isposdef!, issym, istril, istriu, logabsdet, logdet, lyap, norm, qrfact, rank, repmat, rot180, rotl90, rotr90, sortrows, sqrtm, SymTridiagonal, trace, Tridiagonal, tril, tril!, triu, triu!, writedlm,

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sortrows

Examples

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