pagetranspose
Syntax
Description
Examples
Transpose Pages of N-D Array
Create a 3-D array A
, and then use pagetranspose
to transpose each page of the array.
r = repelem(1:3,3,1); A = cat(3,r,2*r,3*r)
A = A(:,:,1) = 1 2 3 1 2 3 1 2 3 A(:,:,2) = 2 4 6 2 4 6 2 4 6 A(:,:,3) = 3 6 9 3 6 9 3 6 9
B = pagetranspose(A)
B = B(:,:,1) = 1 1 1 2 2 2 3 3 3 B(:,:,2) = 2 2 2 4 4 4 6 6 6 B(:,:,3) = 3 3 3 6 6 6 9 9 9
Input Arguments
X
— Input array
multidimensional array
Input array, specified as a multidimensional array.
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
| logical
| char
| string
| struct
| cell
| categorical
| datetime
| duration
| calendarDuration
Complex Number Support: Yes
More About
Array Pages
Page-wise functions like pagetranspose
operate on 2-D
matrices that have been arranged into a multidimensional array. For example, the elements in
the third dimension of a 3-D array are commonly called pages because
they stack on top of each other like pages in a book. Each page is a matrix that the
function operates on.
You can also assemble a collection of 2-D matrices into a higher dimensional array, like a 4-D
or 5-D array, and in these cases pagetranspose
still treats the
fundamental unit of the array as a 2-D matrix that the function operates on, such as
X(:,:,i,j,k,l)
.
The cat
function is useful for assembling a
collection of matrices into a multidimensional array, and the zeros
function is useful for preallocating a multidimensional array.
Tips
The page-wise transpose is equivalent to permuting the first two dimensions of the array with
permute(X,[2 1 3:ndims(X)])
.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Usage notes and limitations:
Code generation does not support cell arrays for this function.
Thread-Based Environment
Run code in the background using MATLAB® backgroundPool
or accelerate code with Parallel Computing Toolbox™ ThreadPool
.
This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.
GPU Arrays
Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.
The pagetranspose
function
fully supports GPU arrays. To run the function on a GPU, specify the input data as a gpuArray
(Parallel Computing Toolbox). For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).
Distributed Arrays
Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.
This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).
Version History
Introduced in R2020b
Comando MATLAB
Hai fatto clic su un collegamento che corrisponde a questo comando MATLAB:
Esegui il comando inserendolo nella finestra di comando MATLAB. I browser web non supportano i comandi MATLAB.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list:
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
- América Latina (Español)
- Canada (English)
- United States (English)
Europe
- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)
- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)