我想在矩阵做元件分批加入,同时跳过的NaN 值。 MATLAB和倍频程具有 nansum ,但它确实在基质内逐列加法。

让:

a = NaN * zeros(3)
b = ones(3)

,点击 我想:

c = nan+(a, b)

c = b

,点击 和

d = nan+(a,a)

d = a
有帮助吗?

解决方案

您仍然可以使用nansum,如果您的链状正d阵列沿第n + 1的尺寸。

有关2D

% commands de-nested for readability. You can do this with a single line, of course
tmp = cat(3,a,b);
c = nansum(tmp,3);

在一般情况下

function out = nansumByElement(A,B)
%NANSUMBYELEMENT performs an element-wise nansum on the n-D arrays A and B
% A and B have to have the same size

% test input
if nargin < 2 || isempty(A) || isempty(B) || ndims(A)~=ndims(B) || ~all(size(A)==size(B))
error('please pass two non-empty arrays of the same size to nansumByElement')
end

% calculate output

nd = ndims(A); % get number of dimensions
% catenate and sum along n+1st dimension
out = nansum(cat(nd+1,A,B),nd+1);

其他提示

a_fixed = a;
a_fixed(isnan(a)) = 0;
b_fixed = b;
b_fixed(isnan(b)) = 0;
c = a_fixed.+b_fixed;
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