how to filter rows with zero values?
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hello,
so i have data in mat.file 3 columns about weather conditions (first column: temperature, second column: irradiation1; third column: irradiation2 and fourth column= pv power output); i also have half the data with zero irradiation and zero output; but the temperature is not zero, so my question is how to deleted all the rows with zero irradiation; and if is there a way to only delete 90 % of these row, and keep like 10 %?
x=
0.0015 0.0044 0.0041 0.0102
0.0013 0 0 0
0.0011 0 0 0
0.0011 0 0 0
0.0010 0 0 0
0.0009 0 0 0
0.0008 0 0 0
0.0007 0 0 0
0.0006 0 0 0
0.0006 0 0 0
0.0006 0 0 0
0.0006 0 0 0
0.0006 0 0 0
0.0007 0.0005 0.0005 0.0002
0.0007 0.0061 0.0054 0.0175
采纳的回答
Hi Kawsar,
I understand you want to edit your file such that 90% of rows with 0 irradiation are removed.
You can use logical indexing to select the rows which have 0 irradiation. After that, you can use the 'randsample' function to select 10% of such rows. Here is the code to do so:
% Find rows where both irradiation columns are zero
rowsWithZeroIrradiation = all(x(:, 2:3) == 0, 2);
numZeroRows = sum(rowsWithZeroIrradiation);
numRowsToKeep = round(0.1 * numZeroRows);
zeroIrradiationIndices = find(rowsWithZeroIrradiation);
% Randomly select 10% of these indices to keep
indicesToKeep = randsample(zeroIrradiationIndices, numRowsToKeep);
logicalIndexToKeep = false(size(x, 1), 1);
logicalIndexToKeep(indicesToKeep) = true;
finalRowsToKeep = logicalIndexToKeep | ~rowsWithZeroIrradiation;
x = x(finalRowsToKeep, :);
You can learn more about logical indexing from the below documentation:
Hope this helps!
1 个评论
Rishi
2024-1-25
Edited the code. 'rowsWithIrradiation' was just the negation of 'rowsWithZeroIrradiation'.
If this solved your query, please accept the answer.
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