|
Iota Matrix |
APL |
3 4⍴⍳12 |
J |
i.3 4 |
BQN |
3‿4⥊↕12 |
Uiua |
↯3_4⇡12 |
Q |
3 4 # til 12 |
Julia |
reshape(1:12, 4, 3) |> permutedims |
MATLAB |
reshape([1:12], [3 4]) |
NumPy |
np.arange(12).reshape(3,4) |
R |
matrix(1:12, nrow=3, byrow=TRUE) |
Nial |
3 4 reshape count 12 |
Futhark |
unflatten 3 4 (1...12) |
Ivy |
3 4 rho iota 12 |
SaC |
reshape([3,4], iota(12)) |
ArrayFire |
transpose(iota(dim4(4, 3))) |
MatX |
⬇️⬇️ |
3 4⍴⍳12
1 2 3 4
5 6 7 8
9 10 11 12
i.3 4
0 1 2 3
4 5 6 7
8 9 10 11
3‿4⥊↕12
┌─
╵ 0 1 2 3
4 5 6 7
8 9 10 11
┘
↯3_4⇡12
┌─
╵ 0 1 2 3
4 5 6 7
8 9 10 11
┘
q) 3 4 # til 12
0 1 2 3
4 5 6 7
8 9 10 11
julia> reshape(1:12, 4, 3) |> permutedims
3×4 Array{Int32,2}:
1 2 3 4
5 6 7 8
9 10 11 12
>> reshape([1:12], [3 4])
ans =
1 4 7 10
2 5 8 11
3 6 9 12
In [2]: np.arange(12).reshape(3,4)
Out[2]:
array([[ 0, 1, 2, 3],
[ 4, 5, 6, 7],
[ 8, 9, 10, 11]])
> matrix(1:12, nrow=3, byrow=TRUE)
[,1] [,2] [,3] [,4]
[1,] 1 2 3 4
[2,] 5 6 7 8
[3,] 9 10 11 12
3 4 reshape count 12
1 2 3 4
5 6 7 8
9 10 11 12
> unflatten 3 4 (1...12)
[[1i32, 2i32, 3i32, 4i32],
[5i32, 6i32, 7i32, 8i32],
[9i32, 10i32, 11i32, 12i32]]
3 4 rho iota 12
1 2 3 4
5 6 7 8
9 10 11 12
use StdIO: all;
use Array: all;
int main() {
print(reshape([3,4], iota(12)));
return 0;
}
// Outputs
Dimension: 2
Shape : < 3, 4>
| 0 1 2 3 |
| 4 5 6 7 |
| 8 9 10 11 |
#include <arrayfire.h>
auto main() -> int {
af::array const arr = af::transpose(af::iota(af::dim4(4, 3)));
af::print("Iota Matrix", arr);
return 0;
}
// Outputs
Iota Matrix
[3 4 1 1]
0.0000 1.0000 2.0000 3.0000
4.0000 5.0000 6.0000 7.0000
8.0000 9.0000 10.0000 11.0000
#include <matx.h>
auto main() -> int {
// Iota Matrix
auto t = matx::make_tensor<int32_t>({3, 4});
(t = matx::reshape<t.Rank()>(matx::range<0>({TotalSize(t)}, 1, 1), t.Shape())).run();
t.Print();
return 0;
}
// Outputs
Tensor{int32_t} Rank: 2, Sizes:[3, 4], Strides:[4,1]
000000: 1 2 3 4
000001: 5 6 7 8
000002: 9 10 11 12