Scilab 6.0.1

Scilab Help >> Elementary Functions > Matrix - shaping > permute

# permute

permutes the dimensions of an array

### Syntax

y = permute(x, dims)

### Arguments

- x
an array with any number of dimensions (0, 1, 2, or any number n>2), of any data type: booleans, integers, decimal real or complex numbers, polynomials, rationals, array of structures, array of cells.

- dims
a valid permutation of 1:n>=nmin where n is the number of dimensions of the desired array, at least as many as

`nmin = ndims(x)`

.The dimension

`#i`

in`y`

was the dimension`#dims(i)`

in`x`

.- y
an array with the contents of

`x`

, with identical but permuted sizes.

### Description

Permutes the dimensions of the array according to `dims`

.

Any trailing dimension of the result `y` that becomes a singleton
(has a new size equal to 1, coming from a formerly non trailing singleton dimension)
is automatically ignored (squeezed). |

`permute()` is mainly interesting when dealing with hypermatrices.
To only transpose a matrix (permute its rows into columns and vice-versa), the
`.'` or `'` operators should be prefered. |

### Examples

// Example 1: A matrix becomes an hypermatrix with one side of size==1 // (here the number of rows) x = [1 2 3; 4 5 6] y = permute(x,[3 1 2])

--> x = [1 2 3; 4 5 6] x = 1. 2. 3. 4. 5. 6. --> y = permute(x,[3 1 2]) y = (:,:,1) 1. 4. (:,:,2) 2. 5. (:,:,3) 3. 6.

--> x = int8(matrix(1:24, [3 4 2])) x = (:,:,1) 1 4 7 10 2 5 8 11 3 6 9 12 (:,:,2) 13 16 19 22 14 17 20 23 15 18 21 24 --> y = permute(x, [2 3 1]) y = (:,:,1) 1 13 4 16 7 19 10 22 (:,:,2) 2 14 5 17 8 20 11 23 (:,:,3) 3 15 6 18 9 21 12 24

// Example 3: x = matrix(1:8, [2 1 4]) y = permute(x, [3 1 2]); // The dimension 1 was the 3rd: size = 4 = new number of rows // The dimension 2 was the 1st: size = 2 = new number of columns // The dimension 3 was the 2sd: size = 1 = new number of pages y

### See also

### History

Version | Description |

6.0 | Extension to rationals |

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