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 Comments
Simon Chan
on 19 Aug 2021
What is the expected size of the combined matrix?
Triveni
on 19 Aug 2021
Accepted Answer
Wan Ji
on 19 Aug 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 Comment
Or you can use
bhu = reshape(permute(NETPLP,[1,3,2]), size(NETPLP,1)*size(NETPLP,3), 3);
More Answers (1)
Jan
on 19 Aug 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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