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ariane
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How to extract specific rows from large data file

Asked by ariane
on 15 May 2018
Latest activity Commented on by ariane
on 4 Jun 2018

Hi I have a large data file (attached) and I'm only interested in rows with specific x values of 4.125 as shown below. Now because the value of 4.125 relates to the stop position of the ion, the corresponding start position is also of interest to me and I want to keep this information in the array. How do I write a program which effectively finds the x stop position of 4.125 and retains the ion start position. It is a 120982 * 9 array and in the example shown below I would be interested in keeping the information of ion # 3849096. Your assistance is most appreciated.

"Ion N","Mass","Charge","X","Y","Z","Azm","Elv","KE" 3849094,0.00054858,-1,66.5216,-51,-3.8,-180,88.7,18160 3849094,0.00054858,-1,27.3925,30.3532,-4.07076,-177.1,41.5494,17697.2 3849095,0.00054858,-1,66.5216,-51,-3.7,-180,88.7,18160 3849095,0.00054858,-1,26.6277,31.0039,-3.91402,-177.096,40.8293,17699.4 3849096,0.00054858,-1,66.5216,-51,-3.6,-180,88.7,18160 3849096,0.00054858,-1,4.125,44.9887,-2.47517,-176.363,25.715,17711.1

  3 Comments

Is opening the file a problem ? Because if not, the function find() should do the trick in my opinion. https://fr.mathworks.com/help/matlab/ref/find.html

find is very much over used and is unlikely to be necessary.

Could you kindly suggest a more rigorous regime to help me locate the rows I'm interested in? Any information will be much appreciated.

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R2018a

1 Answer

Answer by Guillaume
on 15 May 2018
 Accepted Answer

I wouldn't call your file large. Probably, the easiest (tested in R2018a, older versions may have a harder time detecting the import options):

opts = detectImportOptions('Z_EnergySequence.dat');
data = readtable('Z_EnergySequence.dat', opts);
filtereddata = data(data.X == -4.125, :)

Note that if you try to filter for some other x value, there may be some values for which the above doesn't work due to the way floating point comparison work. A more reliable implementation would be:

tol = 1e-6;  %or some other arbitrarily small value relative to the difference of your x values
filter = -4.125;
filtereddata = data(abs(data.X - filter) < tol, :)

  12 Comments

I would recommend you use the function writetable. It can be as simple as

writetable(filteredions, 'C:\somewhere\somename.csv');

Hi,

I have a question relating to data binning. If I wanted to bin this data by initial elevation, Kinetic energy and the ion start position (X,Y,Z), how can I go about doing this? The purpose of this would be to allow me to plot input energy/elevation versus count rate. Thank you.

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