- Create the Matrix: Define the matrix in MATLAB.
- Calculate Averages: Iterate over each column, exclude zeros, and compute the average.
- Display the Result: Store the averages and display them.
How to calculate the average of each column without taking zeros values
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Assume that there is a matrix:[1,3,5,0,0,0; 2,0,3,4,0,0; 3,0,0,3,0,1;4,2,2,1,8,2; 5,3,3,0,5,0; 6,7,0,0,2,0]. Display as follows
1 3 5 0 0 0
2 0 3 4 0 0
3 0 0 3 0 1
4 2 2 1 8 2
5 3 3 0 5 0
6 7 0 0 2 0
I want to calculate the average of each column without taking zeros values. The result is displayed in the corresponding column. what should I do?
Thanks in advance!
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Answers (3)
Ruchika Parag
on 29 Nov 2024 at 6:04
Hi @Amy, to calculate the average of each column in a matrix while ignoring zero values, you can use MATLAB's logical indexing and array operations. Here’s how you can achieve this:
Here is how you can achieve this:
A = [1, 3, 5, 0, 0, 0;
2, 0, 3, 4, 0, 0;
3, 0, 0, 3, 0, 1;
4, 2, 2, 1, 8, 2;
5, 3, 3, 0, 5, 0;
6, 7, 0, 0, 2, 0];
averages = zeros(1, size(A, 2));
for col = 1:size(A, 2)
columnData = A(:, col);
nonZeroData = columnData(columnData ~= 0);
if ~isempty(nonZeroData)
averages(col) = mean(nonZeroData);
else
averages(col) = NaN;
end
end
disp('Matrix A:');
disp(A);
disp('Column averages (ignoring zeros):');
disp(averages);
Now, you can correctly compute and display the average of non-zero elements for each column
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Sandeep Mishra
on 29 Nov 2024 at 6:06
Edited: Sandeep Mishra
on 29 Nov 2024 at 6:22
Hi Amy,
To calculate the avergae of each column without taking the zero values, you can use the MATLAB 'sum' function to calculate the total number of non zero elements along with sum of all elements in each column.
You can refer to the following code snippet:
nonZeroElement = sum(matrix~=0)
totalSum = sum(matrix)
avg = totalSum./nonZeroElement
For more information, refer to the following MathWorks Documentation to learn about ‘sum’ function: https://www.mathworks.com/help/matlab/ref/double.sum.html
I hope this help you!
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Star Strider
on 29 Nov 2024 at 11:59
Try thiis —
matrix = [1,3,5,0,0,0; 2,0,3,4,0,0; 3,0,0,3,0,1;4,2,2,1,8,2; 5,3,3,0,5,0; 6,7,0,0,2,0]
matrix(matrix == 0) = NaN
mean_matrix = mean(matrix, 'omitnan')
mean_matrix = mean(matrix, 'omitmissing')
You can use either 'omitmissing' or 'omitnan' as the ‘nanflag’
.
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