How to sort .txt files according to their content (number values) with an if-else-condition?
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Dear all,
I have a Results.txt file, which contains a table with 13 columns with parameter-values. My goal is to loop through this table rows and give the Results.txt file an ending (_P1 or _P2 according to the if-condition). Right now I believe Matlab is going through the table and adding the ending P1 or P2 depending on which of the two if-conditions are met first.
Is there a way to collect all rows from the table which matches the conditions and give an ending according to the condition that matches with more rows than the other condition?
Thanks!
for x = 1 : size(Results,1)
if (Results(x,2) > limA2) && (Results(x,12) < limAR) && (Results(x,13) > limR2)
Type = [name + '_P1'];
elseif (Results(x,2) > limA1) && (Results(x,12) > limAR) && (Results(x,13) < limR1)
Type = [name + '_P2'];
end
end
1 个评论
Mathieu NOE
2022-8-23
hello
do you have an issue with your code or what is the issue ?
do you have a working exmaple (with the txt file) to provide ?
tx
采纳的回答
Kartikay Sapra
2022-8-25
编辑:Kartikay Sapra
2022-8-25
Creating 2 variables which store the numbers of rows for each condition would help in finding the condition which makes up the majority:
count_1 = 0;
count_2 = 0;
for x = 1 : size(Results,1)
if (Results(x,2) > limA2) && (Results(x,12) < limAR) && (Results(x,13) > limR2)
count_1 = count_1+1;
elseif (Results(x,2) > limA1) && (Results(x,12) > limAR) && (Results(x,13) < limR1)
count_2 = count_2+1;
end
end
if (count1>count2)
% More rows satisfy the first condition
Type = [name + '_P1'];
elseif (count1<count2)
% More rows satisfy the second condition
Type = [name + '_P2'];
end
% Faster vectorised approach
col_2 = Results(:,2);
col_12 = Results(:,12);
col_13 = Results(:,13);
count1 = sum(any(Results((col_2 > limA2) & (col_12 < limAR) & (col_13 > limR2),:),2));
count2 = sum(any(Results((col_2 > limA1) & (col_12 > limAR) & (col_13 < limR1),:),2));
if (count1>count2)
% More rows satisfy the first condition
Type = [name + '_P1'];
elseif (count1<count2)
% More rows satisfy the second condition
Type = [name + '_P2'];
end
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