cat
複数の配列を結合する
呼び出し手順
y = cat(dim, A1, A2, ...,An)
引数
- dim
正の実数スカラー.
- A1,A2,..An
スカラー, ベクトル, 行列または多次元配列, またはセル配列.
A1,A2,...,An
は (次元dim
を除き)同じ大きさとなります.dim
以外のi
についてsize(A1,i)=size(A2,i)=...=size(An,i)
であり,size(A1,dim), size(A2,dim),...,size(An,dim)
は異なる数とすることができます.- y
スカラー, ベクトル, 行列またはセル配列,
y
はA1,A2,...,An
と同じ型となります.
説明
y=cat(dim,A1,A2,...,An)
:
y
は,入力引数A1,A2,...,An
を結合したものとなります.
cat(1, A1, A2, A3)
is equivalent to [A1 ; A2 ; A3]
.
cat(2, A1, A2, A3)
is equivalent to [A1 A2 A3]
.
Brackets are faster and must be preferred in both cases.
cat()
is useful mainly for dim > 2
, to build an
hypermatrix or hypercell.
例
Example #1: Building a vector along dim #3
cat(3, 4, -1, 3)
--> cat(3, 4, -1, 3) ans = (:,:,1) 4. (:,:,2) -1. (:,:,3) 3.
Example #2: Building a matrix of text of size(1,3,2):
cat(3, ["a" "aa" "aaa"], ["b" "bb" "bbb"])
--> cat(3, ["a" "aa" "aaa"], ["b" "bb" "bbb"]) ans = (:,:,1) !a aa aaa ! (:,:,2) !b bb bbb !
Example #3: Stacking separate R G B layers of a mini RGB image:
R = uint8(grand(2,4,"uin",0,255)) G = uint8(grand(2,4,"uin",0,255)) B = uint8(grand(2,4,"uin",0,255)) cat(3, R, G, B)
--> R = uint8(grand(2,4,"uin",0,255)) R = 142 8 11 234 191 249 252 51 --> G = uint8(grand(2,4,"uin",0,255)) G = 255 246 104 89 152 71 112 17 --> B = uint8(grand(2,4,"uin",0,255)) B = 170 182 39 197 115 108 16 51 --> cat(3, R, G, B) ans = (:,:,1) 142 8 11 234 191 249 252 51 (:,:,2) 255 246 104 89 152 71 112 17 (:,:,3) 170 182 39 197 115 108 16 51
Example #4: Building an hypercell:
--> A1 = {%T "abc" ; (1-%z)^2, %pi} A1 = [1x1 boolean ] [1x1 string ] [1x1 polynomial] [1x1 constant] --> A2 = {%s^2, gda(); %F, list(-5, "hello")} A2 = [1x1 polynomial] [1x1 handle] [1x1 boolean ] [ list ] --> cat(3, A1, A2) ans = (:,:,1) [1x1 boolean ] [1x1 string ] [1x1 polynomial] [1x1 constant] (:,:,2) [1x1 polynomial] [1x1 handle] [1x1 boolean ] [ list ]
参照
- brackets [..] — Concatenation. Recipients of an assignment. Results of a function
- lstcat — リストの結合
- permute — permutes the dimensions of an array
- matrix — ベクトルまたは行列を異なる大きさの行列に成形する
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