How to combine matrices
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I have to combine
NETPLP(:,:,1) =
22 22.45 89.42
22 22.55 114.42
21.95 22.5 114.42
22.55 22.5 -35.59
22 22.55 114.42
22 22.45 89.42
22.05 22.5 89.42
22.45 22.5 -10.59
NETPLP(:,:,2) =
22 22.4 76.92
22 22.6 126.92
21.9 22.5 126.92
22.6 22.5 -48.09
22 22.6 126.92
22 22.4 76.92
22.1 22.5 76.92
22.4 22.5 1.91
NETPLP(:,:,3) =
22 22.35 64.42
22 22.65 139.42
21.85 22.5 139.42
22.65 22.5 -60.59
22 22.65 139.42
22 22.35 64.42
22.15 22.5 64.42
22.35 22.5 14.41
NETPLP(:,:,4) =
22 22.3 51.92
22 22.7 151.92
21.8 22.5 151.92
22.7 22.5 -73.09
22 22.7 151.92
22 22.3 51.92
22.2 22.5 51.92
22.3 22.5 26.92
NETPLP(:,:,5) =
22 22.25 39.42
22 22.75 164.42
21.75 22.5 164.42
22.75 22.5 -85.59
22 22.75 164.42
22 22.25 39.42
22.25 22.5 39.42
22.25 22.5 39.42
NETPLP(:,:,6) =
22 22.2 26.92
22 22.8 176.92
21.7 22.5 176.93
22.8 22.5 -98.09
22 22.8 176.92
22 22.2 26.92
22.3 22.5 26.92
22.2 22.5 51.92
NETPLP(:,:,7) =
22 22.15 14.42
22 22.85 189.42
21.65 22.5 189.43
22.85 22.5 -110.59
22 22.85 189.42
22 22.15 14.42
22.35 22.5 14.41
22.15 22.5 64.42
NETPLP(:,:,8) =
22 22.1 1.92
22 22.9 201.92
21.6 22.5 201.93
22.9 22.5 -123.09
22 22.9 201.92
22 22.1 1.92
22.4 22.5 1.91
22.1 22.5 76.92
NETPLP(:,:,9) =
22 22.05 -10.58
22 22.95 214.42
21.55 22.5 214.43
22.95 22.5 -135.59
22 22.95 214.42
22 22.05 -10.58
22.45 22.5 -10.59
22.05 22.5 89.42
NETPLP(:,:,10) =
22 22 -23.08
22 23 226.92
21.5 22.5 226.93
23 22.5 -148.09
22 23 226.92
22 22 -23.08
22.5 22.5 -23.09
22 22.5 101.92
>> bhu = reshape(NETPLP,[size(NETPLP,1)*size(NETPLP,3),3])
bhu =
22 22.3 14.42
22 22.7 189.42
21.95 22.5 189.43
22.55 22.5 -110.59
22 22.7 189.42
22 22.3 14.42
22.05 22.5 14.41
22.45 22.5 64.42
22.45 51.92 22
22.55 151.92 22
22.5 151.92 21.6
22.5 -73.09 22.9
22.55 151.92 22
22.45 51.92 22
22.5 51.92 22.4
22.5 26.92 22.1
89.42 22 22.1
114.42 22 22.9
114.42 21.75 22.5
-35.59 22.75 22.5
114.42 22 22.9
89.42 22 22.1
89.42 22.25 22.5
-10.59 22.25 22.5
22 22.25 1.92
22 22.75 201.92
21.9 22.5 201.93
22.6 22.5 -123.09
22 22.75 201.92
22 22.25 1.92
22.1 22.5 1.91
22.4 22.5 76.92
22.4 39.42 22
22.6 164.42 22
22.5 164.42 21.55
22.5 -85.59 22.95
22.6 164.42 22
22.4 39.42 22
22.5 39.42 22.45
22.5 39.42 22.05
76.92 22 22.05
126.92 22 22.95
126.92 21.7 22.5
-48.09 22.8 22.5
126.92 22 22.95
76.92 22 22.05
76.92 22.3 22.5
1.91 22.2 22.5
22 22.2 -10.58
22 22.8 214.42
21.85 22.5 214.43
22.65 22.5 -135.59
22 22.8 214.42
22 22.2 -10.58
22.15 22.5 -10.59
22.35 22.5 89.42
22.35 26.92 22
22.65 176.92 22
22.5 176.93 21.5
22.5 -98.09 23
22.65 176.92 22
22.35 26.92 22
22.5 26.92 22.5
22.5 51.92 22
64.42 22 22
139.42 22 23
139.42 21.65 22.5
-60.59 22.85 22.5
139.42 22 23
64.42 22 22
64.42 22.35 22.5
14.41 22.15 22.5
22 22.15 -23.08
22 22.85 226.92
21.8 22.5 226.93
22.7 22.5 -148.09
22 22.85 226.92
22 22.15 -23.08
22.2 22.5 -23.09
22.3 22.5 101.92
this matrix, but location is not appropriate. please help me for uniformity.
2 commentaires
Simon Chan
le 19 Août 2021
What is the expected size of the combined matrix?
Triveni
le 19 Août 2021
Réponse acceptée
Wan Ji
le 19 Août 2021
Hi, friend! You can achieve this by following command:
bhu = reshape(permute(NETPLP,[2,1,3]), 3, size(NETPLP,1)*size(NETPLP,3))';
1 commentaire
Or you can use
bhu = reshape(permute(NETPLP,[1,3,2]), size(NETPLP,1)*size(NETPLP,3), 3);
Plus de réponses (1)
Jan
le 19 Août 2021
permute(reshape(permute(NETPLP, [2, 1, 3]), 4, []), [2, 1])
All reshaping operations of N-dimensional arrays can be solved by this approach: permute(reshape(permute(x))).
In this case permute(Y, [ 2, 1]) can be abbreviated to Y.'
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