squeeze
removes singleton dimensions of a ND-array
Syntax
r = squeeze(hypIn)
Arguments
- hypIn
a ND-array of any native type (boolean, .., cells, structures)
- r
an array or ND-array of the same type.
Description
squeeze(…) removes singleton dimensions of an hypermatrix or ND-array,
that is any dimension for which the size is 1.
If the input hypIn is a matrix, it is returned as is.
 | Scilab squeezes highest singleton dimensions automatically. |
Examples
// For 2D input matrices => no action u = squeeze(ones(1,4)) size(u) // auto-squeezing of highest singleton dimensions: v = ones(2,3,1,1); size(v) // For an actual input ND-array: w = squeeze(ones(1,3,1,4)) size(w) // for a 4D-array of cells c = cat(4, {%t}, {%pi}, {"abc"}); size(c) x = squeeze(c) size(x)
--> u = squeeze(ones(1,4))
u =
1. 1. 1. 1.
--> size(u)
ans =
1. 4.
--> // auto-squeezing of highest singleton dimensions:
--> v = ones(2,3,1,1);
--> size(v)
ans =
2. 3.
--> // For an actual input ND-array:
--> w = squeeze(ones(1,3,1,4))
w =
1. 1. 1. 1.
1. 1. 1. 1.
1. 1. 1. 1.
--> size(w)
ans =
3. 4.
--> // for a 4D-array of cells
--> c = cat(4, {%t}, {%pi}, {"abc"});
--> size(c)
ans =
1. 1. 1. 3.
--> x = squeeze(c)
x =
[1x1 boolean ]
[1x1 constant]
[1x1 string ]
--> size(x)
ans =
3. 1.
See also
- matrix — reshapes an array with the same number and order of components
- hypermatrices — a Scilab object, N dimensional matrix in Scilab
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