For loop question/ plot figure
1 Ansicht (letzte 30 Tage)
Ältere Kommentare anzeigen
- I am using a for loop to plot muliple text files; (files go from MT_0058 to MT_0212.txt) Which represent helicopter flight data, And I am running into an issue where some of the files (60% or more) have bad data for the first 300 rows, but may have 20-30 thousand in total. I would like to adjust the headerlines to exclude this bad data, but am running into a problem where some of the files have fewer than 300 rows (shorter flights). Is there a way to adjust the headerlines and ignore text files that have fewer than the minimum amount of rows? Without stopping the program.
- When plotting these text files, is there a way to simply use the saveas function without opening the plots as to avoid cluttering my computer with a large amount of open figures?
for k = 58:212
inputFileName = sprintf('MT_%05i-000.txt',k);
outputFileName = sprintf('results%05i.tiff',k);
fid = fopen(inputFileName);
datacell = textscan(fid, '%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f','HeaderLines',5);
fclose(fid);
...
saveas(gcf,outputFileName);
end
0 Kommentare
Akzeptierte Antwort
Thomas
am 10 Apr. 2012
If you are on a linux system try
for k = 58:212
inputFileName = sprintf('MT_%05i-000.txt',k);
outputFileName = sprintf('results%05i.tiff',k);
fid = fopen(inputFileName);
new_cmd=sprintf('more %s|wc -l', inputFileName);
[p,num_lines]=system(newcmd);
if num_lines<=300
datacell = textscan(fid, '%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f','HeaderLines',5);
fclose(fid);
else
datacell = textscan(fid, '%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f%f','HeaderLines',300);
fclose(fid);
...
saveas(gcf,outputFileName);
end
end
Do not have access to MATLAB currently so cannot check..
2 Kommentare
Thomas
am 11 Apr. 2012
I guess you are on a windows platform and hence have re-posted the question..
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Printing and Saving finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!