假设A 是输入元胞数组,这里可能有两种方法。
方法#1
%// Initlialize output array
Aout = cell(size(A));
for k = 1:size(A,2)
%// Select one column
Ak = A(:,k);
%// Logical array with size of Ak and ones at places with non-empty strings
pos = cellfun(@(x) ~isempty(x), Ak);
%// Find unique strings and find indices for all places in that column
%// with respect to those unique strings
[unq_str,~,str_idx] = unique(Ak,'stable');
%// Perform cumsum on pos to get an array with a "stepped" array that
%// steps up at each non-empty string position.
%// Then replace each stepping number with the string IDs
idx = changem(cumsum(pos),str_idx(pos),1:sum(pos));
%// Index into each column with those replaced IDs for the final output
Aout(:,k) = unq_str(idx);
end
为了更积极地测试解决方案代码而稍微更改了输入,我们在代码运行之后 -
A =
'a' 'b'
'' ''
'' 'a'
'c' ''
'' 'd'
'a' ''
'' 'f'
'c' 'a'
Aout =
'a' 'b'
'a' 'b'
'a' 'a'
'c' 'a'
'c' 'd'
'a' 'd'
'a' 'f'
'c' 'a'
方法 #2 [紧凑且可能更高效]
您可以将输入元胞数组重塑为单列元胞数组,因此您无需遍历
元胞数组,这可能会导致更高效和更紧凑的代码 -
%// Reshape all cells into a single columned cell array
A1 = A(:);
%// Rest of the code borrowed from previous approach with reshaping added
%// at the end to bring the output back to the size of input array
pos = ~cellfun('isempty', A1);
[unq_str,~,str_idx] = unique(A1,'stable');
Aout = reshape(unq_str(changem(cumsum(pos),str_idx(pos),1:sum(pos))),size(A));
奖励:changem 的自定义实现
前面列出的代码使用需要 Mapping Toolbox 的 changem。所以,如果你有它,这里是它的一个定制版本,用bsxfun 和max 实现,它只是发布在here 的早期解决方案代码的完善版本。这是自定义功能代码 -
%// CHANGEM_CUSTOM Home-cooked vesion of CHANGEM with MAX, BSXFUN
function A = changem_custom(A,newvals,oldvals)
[valid,id] = max(bsxfun(@eq,A(:),oldvals(:).'),[],2); %//'
A(valid) = newvals(id(valid));
return;
所以,要使用这个自定义函数替换changem,只需替换前面代码中的函数调用名称即可。