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I got about ten thousand data points from the sensor. This data was extracted as an excel .csv file and loaded using readtable, resulting in a 10093x1 table.

However, the problem I am experiencing is that the 1st, 10th, 19th, etc., of these data are unnecessary values, so I want to exclude them. I've found that these numbers have one thing in common: a row with a remainder of 1 when divided by 9.

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How can I remove the rows where the divisor with 9 equals 1?

Adriaan
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1 Answers1

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You're just removing every ninth row, so you can even use simple colon indexing

data(1:9:end, :) = [];

Alternatively, using your divisor theory, you can do this by using mod() and logical indexing:

idxRemove = mod(1:size(data,1),9) == 1;  % True if remainder after division by 9 is 1
data(idxRemove,:) = [];  % Remove unwanted rows

You can one-line it for efficiency, since idxRemove isn't stored in that case:

data(mod(1:size(data,1),9) == 1,:) = [];

In either way, using mod() will be slower and less readable than using the colon indexing.

Adriaan
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