Reshape
⍴

Reshape (⍴
) produces an array with shape given by the left argument and elements from the right argument. Elements are copied from the right argument to the result in ravel order, truncating if the result has smaller bound than the right argument and repeating cyclically if it has larger bound. If the right argument is empty, fills are used for the result elements.
Contents
Examples
Reshape can be used to produce an array with a given shape and ravel:
3 4 ⍴ ⍳12
1 2 3 4
5 6 7 8
9 10 11 12
It appears to exhibit a form of scalar or singleton extension:
3 4 ⍴ 12
12 12 12 12
12 12 12 12
12 12 12 12
In fact it repeats an argument of any length, singleton or otherwise. This repetition applies with a vector result, or a higher rank.
12 ⍴ 'abcde'
abcdeabcdeab
3 4 ⍴ 'abcde'
abcd
eabc
deab
Reshape can also decrease the rank or bound of an array. One notable example is the use of an empty left argument [[Zilde⍬]]
to produce a scalar. The scalar is the first 0cell of the right argument. In nested languages ⍬⍴
is like First except that it does not remove a layer of nesting.
9 ⍴ ∘.+⍨ 1 2 1
2 3 2 3 4 3 2 3 2
3 ⍴ 'Samantha'
Sam
⍬ ⍴ ⍳8 8
┌───┐
│1 1│
└───┘
Description
The left argument of Reshape must be a valid shape, or vector of nonnegative integers, after scalar rank extension (that is, a scalar is treated as a oneelement vector). The right argument may be any array. The result array is an array of the given shape, and its elements in ravel order are taken from the right argument in ravel order. If the right argument's ravel is too short, they are repeated starting at the beginning again as many times as necessary.
An empty right argument will cause the result array to be composed of fill elements. Reshape is similar to Take in this case—in fact, Take with an empty right argument is always identical to Reshape unless it results in an error.
The ravelled result is either a prefix of the ravelled argument, or a suffix.
APL model
Since Reshape itself is the fundamental way to create a multidimensional array in APL, the function as a whole cannot be modelled in terms of more fundamental primitives. However, we may express it in terms of a stricter reshaping function shape
, which forms an array from its shape and ravel vectors, requiring both to have rank 1 and the number of elements in the ravel to be the product of the shape. shape
is identical to Reshape on its domain, but it has a strictly smaller domain than Reshape. The extensions required to implement Reshape are that a scalar left argument must be allowed, and that the right argument must be converted to a vector with the appropriate length, truncating or repeating its elements.
Reshape ← {
(1/⍺) shape (×/⍺) {(0=≢⍵)∨⍺≤≢⍵:⍺↑⍵ ⋄ ⍺∇,⍨⍵} ,⍵
}
The above implementation performs truncation and fill element generation using Take, after extending the ravelled right argument by catenating it with itself until it is long enough. An implementation using indices instead of structural manipulation is also possible:
Reshape ← {
⎕IO←0
(1/⍺) shape ((,⍵),(⊂⊃⍵))[(1⌈×/⍴⍵)⍳×/⍺]
}
Here the right argument is converted to a ravel vector by ravelling and appending the prototype, then indexing to produce a vector of the correct length. The indices used are the ravel indices of the result, but they are made to wrap around using Residue.
J variant: Shape
The J language does not include a Reshape primitive. In J, the monadic Shape function is called "Shape Of" and uses the glyph $
. Its dyadic form, simply called "Shape", rearranges the major cells of the right argument rather than its elements. The result shape is given by the left argument, followed by the shape of the right argument with the first axis length (if any) removed. In APL the J Shape function can be written { (⍺,1↓⍴⍵)⍴⍵ }
, and in J the APL Reshape function can be written using the hook ($,)
which first ravels the right argument so that its major cells are its elements.
Notable uses
Reshape can be used to produce an identity matrix by reshaping a vector which is one longer than the desired side length.
4 4 ⍴ 5↑1
1 0 0 0
0 1 0 0
0 0 1 0
0 0 0 1
This idea might be written in a tacit style as ,⍨⍴1↑⍨1∘+
or ,⍨⍴1,⍴∘0
. Both functions take the side length as an argument and produce an identity matrix with that side length.
External links
Lessons
 APL Cultivation
 Arrays have elements (part of APL a Day)
Documentation
 Dyalog
 NARS2000
 APLX
 J Dictionary, J NuVoc (as
$
"Shape")
APL builtins [edit]  

Primitive functions  
Scalar  
Monadic  Conjugate ∙ Not ∙ Roll ∙ Type  
Dyadic  Add ∙ Subtract ∙ Equal to (Xnor) ∙ Not Equal to (Xor)  
NonScalar  
Structural  Shape ∙ Reshape ∙ Tally ∙ Depth ∙ Ravel ∙ Reverse ∙ Raze ∙ Mix ∙ Cut (K)  
Selection  Take ∙ Drop ∙ Unique ∙ Identity  
Selector  Interval Index  
Computational  Match ∙ Not Match ∙ Nub Sieve  
Primitive operators  Each  
Quad names  
Arrays  Index origin ∙ Migration level  
Functions  
Operators  
Other  Zilde ∙ High minus ∙ Function axis 