smarter and faster way to read several files
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I have several data files (.dat) on which I want to perform the following code:
NL=8;
Name = 'Output_1';
filename = [Name,'.dat'];
if ~exist(filename, 'file')
error('Your data file %s does not exist in this directory', filename);
end
[fid, message] = fopen(filename, 'rt');
if fid < 0
error('Opening the file %s failed because %s', filename, message);
end
Data = cell2mat( textscan(fid, '%f%f%f', 'Delimiter', '\t', 'TreatAsEmpty', ...
'nil', 'EmptyValue', 0, 'CollectOutput', 1,'headerlines',NL) );
fclose(fid);
m1=300;
m2=600;
index_1 = find(Data(:,1)==m1);
Data_1=Data(index_1,:);
Data_m1=[Data_1(:,1) Data_1(:,2)];
index_2 = find(Data(:,1)==m2);
Data_2=Data(index_2,:);
Data_m2=[Data_2(:,1) Data_2(:,2)];
nbins = min(Data_1(:,2)):1:max(Data_2(:,2));
[NX1 X]=hist(Data_1(:,2),nbins);
figure(1)
plot(X,NX1,'b')
hold on
[NX2 X]=hist(Data_2(:,2),nbins);
figure(1)
plot(X,NX2,'r')
Here I am reading the data from file with name Output_1 and find those indices corresponding to X= 300 and 600. Then plot the histogram of corresponding Y. How can I loop this to perform the same operation on several files named Output_1, Output_2....Output_n and then accumulate the plot with different colors or markers to identify the files?
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Risposte (1)
Walter Roberson
il 2 Mag 2016
You might want to look at plt() from the File Exchange as it makes it easier to create different combinations to distinguish lines.
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