filling nans between two values

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joseph Frank
joseph Frank 2011-9-1
Hi,
I have matrices in which I want to fill the nans with the last available number. for example: A=[ 1 nan;nan 3;nan 2;4 nan;nan nan]; I want it to become A=[ 1 nan;1 3;1 2;4 2;4 2]; Is there an easy way of replacing these nans without running a loop. I have large matrices and I need to do this frequently. So,I am wondering if an easy command exists.

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采纳的回答

Andrei Bobrov
Andrei Bobrov 2011-9-1
A=[ 1 nan;nan 3;nan 2;4 nan;nan nan]
A(A==0)=inf;
A0 = A;
A0(isnan(A0)) = 0;
n0 = A0~=0;
A1 = A0(n0);
idn = cumsum(n0);
idn(idn==0)=nan;
idx = bsxfun(@plus,idn,[0 idn(end,1:end-1)]);
idx2 = idx;
tnn = isnan(idx2);
idx2(tnn)=1;
out = A1(idx2);
out(tnn)=nan;
out(isinf(out))=0;
small corrections
Aoz = A==A;
A1 = A(Aoz);
i1 = cumsum(Aoz);
im = bsxfun(@plus,[0 i1(end,1:end-1)]);
out = A1(im);
out(i1==0)=nan;
last variant
Aoz = A==A;
A1 = A(Aoz);
i1 = cumsum(Aoz);
im = bsxfun(@plus,i1,[0 cumsum(i1(end,1:end-1))]);
out = A1(im+(im==0));
out(i1==0)=nan;
more variant with use reshape
>> A
A =
NaN 0 NaN 0
6 NaN 6 2
0 3 6 NaN
NaN 6 3 NaN
NaN 6 5 6
>> Aoz = A==A;
A1 = A(Aoz);
i2 = reshape(cumsum(Aoz(:)),size(Aoz));
out = A1(i2+(i2==0));
out(cumsum(Aoz)==0)=nan
out =
NaN 0 NaN 0
6 0 6 2
0 3 6 2
0 6 3 2
0 6 5 6
>>

更多回答（1 个）

Oleg Komarov
Oleg Komarov 2011-9-1
EDITED
Polished and robustified version of Andrei's algorithm:
A = [NaN NaN
1 NaN
NaN 2
4 0
NaN NaN];
% Index non NaNs and store elements
idxEl = ~isnan(A);
nnNaN = [0; A(idxEl)];
% Positions to non NaN elements
pos = cumsum(idxEl);
% Detect initial NaNs
idxNaN = pos == 0;
% Adust pos with offset for number of non NaN elements in each column
offs = cumsum([1 sum(idxEl(:,1:end-1))]);
pos = bsxfun(@plus,pos,offs);
% Output
B = nnNaN(pos);
% Place back initial NaNs
B(idxNaN) = NaN
  2 个评论
Andrei Bobrov
Andrei Bobrov 2011-9-1
Hi Oleg! Thanks a lot for your vote and cod.
I too corrected my last variant
+1.
Oleg Komarov
Oleg Komarov 2011-9-1
Thanks but all the merit goes to you. No idea, no risk for small corrections :).

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