# time align two files

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isamh on 11 Mar 2020
Commented: isamh on 18 Mar 2020
I have two CSV files that are not equal sizes. for one of the files,I want to obtain all values for when column two is only equal to one. I already did this, the code for this is:
P = N(N(:,2)==1,:);
Now that I have all the data associated with column 2 when it equals to 1, I want this file to line up with another file. So where ever the second column is = to 1, i want the second file to only show values that are at the same position.
my code for this is:
Val = find(isnan(P));
P(Val) = [];
M(Val) = [];
So there arent any nan values in the data set but this does what I want it to do. P is the values associated with column 2 when it = to 1 and M is the second file.
##### 2 CommentsShowHide 1 older comment
isamh on 11 Mar 2020
Edited: isamh on 11 Mar 2020
so lets say file P is: and M is:
A B ... A B ...
3434 1 343 5
2342 1 344 7
2341 1 233 9
1232 0 435 1 <-- get rid of these
3433 0 347 5 <--
3534 1 345 7
3433 0 452 9 <--
5464 1 765 2
I now want to get rid of all the rows that arent equal to 1 and have that happen to the corresponding file

Guillaume on 11 Mar 2020
M(P(:, 2) ~= 1, :) = [] %remove all rows of M for which the corresponding row of P is not 1.
How this translates to your real use case, I'm not too sure, particularly as you say that M and P haven't got the same number of rows.
isamh on 18 Mar 2020
you know how this: M(P(:, 2) ~= 1, :) = [] finds every sinlge value equal to 1 in the second column of File P and grabs all that data and matches those corresponding locations in File M. If we only find the values of 1 in the second column in File P, number of rows are 13703. When we include File M, the number of rows is about three times that amount because there is about 20,000 additional rows to that file. How would I be able to ignore all addition rows? I am unable to inlcude the files because I'm not really authorized.
an example:
so lets say file P is: and M is:
A B ... A B ...
3434 1 343 5
2342 1 344 7
2341 1 233 9
1232 0 435 1 <-- get rid of these
3433 0 347 5 <--
3534 1 345 7
3433 0 452 9 <--
5464 1 765 2
343 2 <--
678 4 <--

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