Filling in Matrix (Interpolation

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Suki Sandhu
Suki Sandhu 2017-2-10
评论： Stephen23 2017-2-11
If I have a (10,3) matrix like so,
10 20 1
0 0 0
0 0 0
40 80 4
0 0 0
60 120 6
0 0 0
0 0 0
0 0 0
80 200 10
Is there any way I can interpolate the data to get it to turn like so which displays the average values in between the endpoints? Using interp1 was not clear to me and resulted in NaN everywhere.
10 20 1
20 40 2
30 60 3
40 80 4
50 100 5
60 120 6
65 140 7
70 160 8
75 180 9
80 200 10
Any and all help/guidance is very much appreciated.

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采纳的回答

Stephen23
Stephen23 2017-2-10
编辑：Stephen23 2017-2-10
Here is one easy way to use interp1, it just takes two lines of code:
>> M = [10,20,1;0,0,0;0,0,0;40,80,4;0,0,0;60,120,6;0,0,0;0,0,0;0,0,0;80,200,10];
>> X = ~all(M==0,2);
>> N = interp1(find(X),M(X,:),1:size(M,1))
N =
10 20 1
20 40 2
30 60 3
40 80 4
50 100 5
60 120 6
65 140 7
70 160 8
75 180 9
80 200 10
  2 个评论
D. Plotnick
D. Plotnick 2017-2-11
编辑：D. Plotnick 2017-2-11
Very nice, hadn't thought about using the logical indexing. Also, I hadn't realized interp1 could handle multiple rows like that. Has that always been true? And, more importantly, does that work on pages as well? i.e., interp1 will always assume it is working along the first dimension of any N-D array?
Scratch that, I just tried it and it works. Amazing!
Try
M = repmat(M,1,1,5);
X = all(~all(M==0,2),3);
N = interp1(find(X),M(X,:,:),1:size(M,1))
Stephen23
Stephen23 2017-2-11
It works along columns, exactly as the documentation says: "...you can pass v as an array. Each column of array v contains a different set of 1-D sample values".

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更多回答（2 个）

John BG
John BG 2017-2-10
Hi Suki
A=[ 10 20 1
0 0 0
0 0 0
40 80 4
0 0 0
60 120 6
0 0 0
0 0 0
0 0 0
80 200 10]
B=A;
[sz1 sz2]=size(B);
for s=1:1:sz2
L=B(:,s);
[nx ny val]=find(L)
for k=2:1:numel(nx)
L([nx(k-1):1:nx(k)])=linspace(val(k-1),val(k),nx(k)-nx(k-1)+1);
end
B(:,s)=L;
end
A
=
10 20 1
0 0 0
0 0 0
40 80 4
0 0 0
60 120 6
0 0 0
0 0 0
0 0 0
80 200 10
B
=
10 20 1
20 40 2
30 60 3
40 80 4
50 100 5
60 120 6
65 140 7
70 160 8
75 180 9
80 200 10
Suki
if you find this answer useful would you please be so kind to mark my answer as Accepted Answer?
To any other reader, please if you find this answer of any help solving your question,
please click on the thumbs-up vote link,
thanks in advance
John BG
<mailto:jgb2012@sky.com jgb2012@sky.com>
D. Plotnick
D. Plotnick 2017-2-10
编辑：D. Plotnick 2017-2-10
You can either break up the columns, or do it in one go. Example below.
In future, please include how you ran interp1 or any other code, since that will make helping you easier.
% This returns the right answer
x = [1,4,6,10]; %indexes of known points
y1 = [1,4,6,10]; % y values at those points
Xq = 1:11; % add an extra point so you can see how extrap works.
Yq = interp1(x,y1,Xq,'linear','extrap');
% This also returns the right answer
y2 = [20,80,120,200];
Yq2 = interp1(x,y2,Xq,'linear','extrap');
% Also the right answer
y3 = [10 40 60 80];
Yq3 = interp1(x,y3,Xq,'linear','extrap');
% In one swell-foop
% We can do this in one go. The meshgrids are to make sure you have matrices of % the right size.
z = 1:3; % Index for columns.
Y = cat(1,y3,y2,y1);
[Xq,Zq] = meshgrid(Xq,z);
% Extrap does not work with interp2.
YqAll = interp2(x,z,Y,Xq,Zq,'linear')'
% you could also add an extrapval after the 'linear', which sets those
% NaNs to that number
  2 个评论
D. Plotnick
D. Plotnick 2017-2-11
Hah, I always assumed it was a Shakespeareanism of some kind but didn't know the specific source. I have to give credit for 'swell-foop' to Piers 'Xanth' Anthony.

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