Finding Last Non-Zero Value For Each Row

I have a 50x50 matrix (let's call it data) and I'm trying to find the last non-zero value for each row of the matrix. So far looking through other questions, I've seen answers for finding the positions of the last non-zero values or for applying this idea to arrays, but nothing on producing the actual values for a matrix. Any help is appreciated, thanks!

 采纳的回答

Try this:
% Sample data
m = randi([0, 1], 10, 10)
[rows, columns] = size(m)
% Create an array to keep track of the column of the last 1 in each row.
lastNonZeroColumn = zeros(rows, 1);
% Loop over rows, finding the last 1 in each row.
for row = 1 : rows
% Find the last 1 in this row, if any exist.
col = find(m(row, :), 1, 'last');
if ~isempty(col)
% At least one 1 exists. Log it's location.
lastNonZeroColumn(row) = col;
end
end
% Display results in command window:
lastNonZeroColumn

2 个评论

Hi, thanks for this but this gives me the column position for the last nonzero value. I'm trying to get the values, not the position. Is there any way to take your product above and extract the values?
So just log that value also:
% Sample data
m = randi([0, 9], 10, 10)
[rows, columns] = size(m)
% Create an array to keep track of the column of the last 1 in each row.
lastNonZeroColumn = zeros(rows, 1);
dataValues = nan(rows, 1);
% Loop over rows, finding the last 1 in each row.
for row = 1 : rows
% Find the last 1 in this row, if any exist.
col = find(m(row, :), 1, 'last');
if ~isempty(col)
% At least one 1 exists. Log it's location.
lastNonZeroColumn(row) = col;
dataValues(row) = m(row, col);
end
end
% Display results in command window:
lastNonZeroColumn
dataValues

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