How to make textscan robust against non-matching lines?
6 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Joan Vazquez
am 8 Apr. 2021
Kommentiert: Stephen23
am 9 Apr. 2021
I have files with lines that I want to parse, preferably with textscan. In between those lines, there may be lines to be skipped (unpredictable format and abundance, but definetely new lines). What is the best way to deal with it?
E.g. for the data in attachment, this will stop outputiing #HELLOMATHWORKS messages after line 4.
fid = fopen('data.txt');
out = textscan(fid,'#HELLOMATHWORKS,%[^,],%n');
fclose(fid);
This is a MWE out of a large code base.
0 Kommentare
Akzeptierte Antwort
Stephen23
am 8 Apr. 2021
Bearbeitet: Stephen23
am 9 Apr. 2021
str = fileread('data.txt');
tkn = regexp(str,'#HELLOMATHWORKS,([^,]+),(\S+)','tokens');
tkn = vertcat(tkn{:})
vec = str2double(tkn(:,2))
2 Kommentare
Stephen23
am 9 Apr. 2021
@Joan Vazquez: I presume that the text #HELLOMATHWORKS is not what is actually in your file. If the actual text contains some unique character that does not exist anywhere else in the file, you might be able to leverage the LineEnding/EndOfLine option to achieve the goal of reading the file data using textscan.
Weitere Antworten (1)
Siehe auch
Kategorien
Mehr zu Text Data Preparation finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!