Index (function)
- This article describes a dyadic primitive function that performs indexing into an array. For the concept of array indices, see Index. For the concept of extracting items from an array, see Indexing.
⌷
|
Index (⌷
), also called Squad Indexing after the name of the glyph, is a dyadic primitive function. The result of X⌷Y
is an array formed with items of Y extracted by the index specification X. Index is a proper function alternative to a mode of bracket indexing (which uses a dedicated syntax Y[X]
), making it usable within tacit programming. It shares its glyph with the monadic Materialise function.
Examples
The left argument X must be a vector whose length equals the rank of the right argument Y and depth does not exceed 2. Each element of X selects one or more indices over the corresponding axis of the right argument Y. The result is identical to that of bracket indexing in that Y[X1;X2;…;Xn] ≡ X1 X2 … Xn⌷Y
. The resulting shape equals the concatenation of the shapes of each element of X.
VEC←111 222 333 444
3⌷VEC
333
(⊂4 3)⌷VEC
444 333
(⊂2 3⍴3 1 4 1 2 3)⌷VEC
333 111 444
111 222 333
⎕←MAT←10⊥¨⍳3 4
11 12 13 14
21 22 23 24
31 32 33 34
3(2 1)⌷MAT
32 31
⍴(2 1⍴1)(3 4⍴2)⌷MAT
2 1 3 4
When used with function axis in the form of X⌷[K]Y
, K specifies a subset of axes of Y to apply indexing on. The axes not mentioned in K are selected without modification; this corresponds to omitted axes in bracket indexing.
⎕←CUBE←10⊥¨⍳2 3 4
111 112 113 114
121 122 123 124
131 132 133 134
211 212 213 214
221 222 223 224
231 232 233 234
2⌷[1]CUBE
211 212 213 214
221 222 223 224
231 232 233 234
2⌷[3]CUBE
112 122 132
212 222 232
CUBE[;;2] ≡ 2⌷[3]CUBE
1
In some dialects that support leading axis theory, short X in X⌷Y
selects from leading axes of Y. In that case, the trailing axes are selected without modification.
MAT←10⊥¨⍳3 4 ⍝ Same as the first example
2⌷MAT ⍝ Second axis omitted
21 22 23 24
Implementation support
This form of indexing is supported in J as boxed left argument of From {
.
See also
External links
Documentation