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 Commenti
Simon Chan
il 19 Ago 2021
What is the expected size of the combined matrix?
Triveni
il 19 Ago 2021
Risposta accettata
Wan Ji
il 19 Ago 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 Commento
Or you can use
bhu = reshape(permute(NETPLP,[1,3,2]), size(NETPLP,1)*size(NETPLP,3), 3);
Più risposte (1)
Jan
il 19 Ago 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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