[Eyetracker] How can I extract specific lines of text data with multiple headers

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Maxmax95
Maxmax95 2017-7-17
评论： Agnes Palit 2018-7-16
Hello,
I have a text file which is in this format :
Table Header for Fixations:
Event Type Trial Number Start End Duration Location X Location Y Dispersion X Dispersion Y Plane Avg. Pupil Size X Avg. Pupil Size Y
Table Header for Saccades:
Event Type Trial Number Start End Duration Start Loc.X Start Loc.Y End Loc.X End Loc.Y Amplitude Peak Speed Peak Speed At Average Speed Peak Accel. Peak Decel. Average Accel.
Table Header for Blinks:
Event Type Trial Number Start End Duration
Table Header for User Events:
Event Type Trial Number Start Description
Table Header for Trigger Line Events:
Event Type Trial Number Start Duration Port Status
TriggerLine 1 1 632707887 17402790 120
TriggerLine 1 2 650127313 22044803 120
TriggerLine 1 3 672188819 373945665 120
TriggerLine 1 4 1046151042 58214740 120
TriggerLine 1 5 1104382361 325613598 120
TriggerLine 1 6 1430012651 24057981 120
TriggerLine 1 7 1454087118 192346927 120
TriggerLine 1 8 1646450655 13027109 120
TriggerLine 1 9 1659511020 320755270 120
TriggerLine 1 10 1980283097 149920874 120
Fixation B 1 1 623756870 624388984 632114 451.56 294.47 2 8 -1 87.16 75.92
Blink B 1 1 624388984 624621974 232990
Fixation B 1 2 624621974 625553703 931729 578.77 312.47 5 15 -1 90.41 78.13
Blink B 1 2 625553703 625819981 266278
Fixation B 1 3 625819981 626485566 665585 567.75 305.17 5 6 -1 94.03 80.65
Saccade B 1 1 626485566 626535288 49722 566.27 306.11 454.79 309.45 4.96 260.04 0.67 140.33 9071.39 410.15 5348.79
Fixation B 1 4 626535288 627683395 1148107 435.34 305.19 21 11 -1 96.94 82.01
Blink B 1 3 627683395 628232281 548886
Fixation B 1 5 628232281 628731643 499362 458.17 292.09 3 5 -1 101.20 85.20
Saccade B 1 2 628731643 628764768 33125 455.68 292.43 446.05 294.35 0.54 36.53 0.50 19.82 2024.70 1.80 1013.25
Fixation B 1 6 628764768 629779743 1014975 426.41 304.12 6 7 -1 101.57 85.30
Blink B 1 4 629779743 646500490 16720747
Fixation B 1 7 646500490 646966141 465651 519.89 274.86 16 44 -1 90.11 69.54
Saccade B 1 3 646966141 647016189 50048 517.23 263.95 545.84 273.14 1.87 80.40 0.67 38.92 3058.65 586.94 1890.55
Fixation B 1 8 647016189 647415411 399222 549.07 279.40 6 4 -1 88.42 79.42
Saccade B 1 4 647415411 647448660 33249 547.67 281.06 559.92 280.36 0.84 45.32 0.50 26.62 2250.69 495.81 1373.25
Fixation B 1 9 647448660 648047684 599024 562.61 282.73 4 7 -1 88.56 79.50
Blink B 1 5 648047684 648347193 299509
Fixation B 1 10 648347193 648929475 582282 387.15 283.03 4 6 -1 91.51 79.60
Saccade B 1 5 648929475 648979394 49919 386.72 285.17 328.18 271.67 2.98 116.87 0.67 74.50 6179.34 228.32 2462.09
Fixation B 1 11 648979394 649378721 399327 326.44 269.82 5 4 -1 89.08 79.46
Saccade B 1 6 649378721 649412104 33383 329.41 269.51 336.87 269.52 0.52 27.20 0.50 16.46 1698.78 406.03 1052.41
Fixation B 1 12 649412104 649961159 549055 345.87 272.08 4 3 -1 91.73 80.39
And my goal would be to extract events of the same types in separate arrays with the respective headers. Do you guys have any idea how I should proceed ?
Thanks a lot, and sorry for asking such a vague question.
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Paolo
Paolo 2018-7-16
@Agnes you should open a new question for your query. It's unlikely that OP will get back to you soon.
Agnes Palit
Agnes Palit 2018-7-16
Hi, @Paolo could you help me to solve this? https://uk.mathworks.com/matlabcentral/answers/410596-how-import-file-csv-with-vertical-header
Thank you

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回答（1 个）

Saurabh Gupta
Saurabh Gupta 2017-7-20
Your file format is a bit mixed up, so you will have to do some processing to separate the related data rows and match them with corresponding headers.
1) It may make more sense to simply use Low-level I/O to import the data and move them into respective data structures based on the concerned logic. The following doc page demonstrates the use of Low-level I/O.
https://www.mathworks.com/help/releases/R2017a/matlab/import_export/import-text-data-files-with-low-level-io.html
2) Another method would involve 'detectImportOptions' to detect and then set the corresponding DelimitedTextImportOptions, followed by using 'readtable' to read the contents, and finally post-processing the table to separate the data rows based on logic. You should find the following pages helpful.
readtable https://www.mathworks.com/help/releases/R2017a/matlab/ref/readtable.html#bvghccx
DelimitedTextImportOptions https://www.mathworks.com/help/releases/R2017a/matlab/ref/delimitedtextimportoptions-object.html
detectImportOptions https://www.mathworks.com/help/releases/R2017a/matlab/ref/detectimportoptions.html
To give you one example, the following lines of code will give you the header with 13 variables and all data rows upto 13 values (with blanks filled with NaN's)
>> opts = detectImportOptions('test.txt', 'Delimiter', '\t', 'NumVariables', 13);
>> T = readtable('test.txt',opts);
Since you have multiple headers of varying lengths and conflicting header names at some positions, you may need to play around with the properties and work through different iterations to work out the correct logic for you file.
All the best!

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