extract useful info from text file filled with irrelevant info

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Jamie Shelley
Jamie Shelley 2016-7-26
评论： Jamie Shelley 2016-8-7
The text files that I have are like this: useless info... * useful date (within useless info) useful info *useless info and like that until the end - if there a way of extracting the useful stuff rather than copy and pasting each individual one (as each file has like 200 things to copy into excel) ? Thanks
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Jamie Shelley
Jamie Shelley 2016-7-29
Okay thank you - I think I see what you mean, is there a way of finding the number of paragraphs/lines in the file please?
dpb
dpb 2016-7-29
编辑：dpb 2016-7-29
Sure, but you probably don't need to in order to extract the data of interest.
It would really, Really, REALLY help if you would include an actual file section if you want actual answers instead of continued generalities, but look at the code I provided another poster just recently parsing a similar kind of file to see how to use what's in the file to locate sections of interest... <import-from-data-from-messy-text-file>. That particular file had the nicety of having the number of cases as a parseable value early on in the file so could use a counted outside loop; if, as I gather, your file wouldn't have such just use a while ~feof(fid) loop or equivalent instead. Also, of course, you'd have to keep track/discern which is the one of interest initially and either skip one first or vice versa, depending on the order of whether it's the even/odd case you're interested in. But, as the above shows, it's really pretty simple concept, just takes some consideration of what it is that can be looked for.

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Guillaume
Guillaume 2016-8-6
编辑：Guillaume 2016-8-6
Now that we finally know what useful and useless look like, we can finally answer the question (mostly).
Here is one way to extract the LPR section(s):
filecontent = fileread('example2.txt');
filesections = regexp(filecontent, 'File name.*?(?=(File name)|$)', 'match'); %match 'File name' and everything that follows up to the next 'File name' or the end of string.
testtypes = regexp(filesections, '(?<=Test type\s*)\S+', 'match', 'once'); %match non-blank characters after 'Test type'
wantedsections = filesections(strcmp(testtypes, 'LPR'));
edit: missing ) in first regex
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Jamie Shelley
Jamie Shelley 2016-8-7
In the excel file, the times at the bottom aren't neccesary as I programmed them in differently, I just need to get the test results into the layout shown in the example.xlsx file (but times there aren't neccessary), is there any way of extracting the tables from single cells into the format in the excel file please? If not, I'll start doing it all manually but I feel like it's so close to being finished that it would be a shame to start doing it manually now. Thanks
Jamie Shelley
Jamie Shelley 2016-8-7
This has been the longest weekend ever, but it's finally done (more or less). Thanks for the help with the really technical stuff, I had no idea how to use regexp and that stuff.

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Shameer Parmar
Shameer Parmar 2016-7-29
use this command..
Data = textread('FileName.txt', '%s', 'delimiter', '');
then apply the logic (FOR and IF loop) according to your requirement for reading and storing the data..
Please provide the data of your text file and about the required data so that I can help you for logic..
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Guillaume
Guillaume 2016-8-6
At last! We finally get an example of the data as dpb and I have been asking for ages. You still haven't given us the full picture, but can still make a start at answering the question.
Jamie Shelley
Jamie Shelley 2016-8-6
Sorry, I didn't have a copy of it on me, But I've got one now - it's just basically that but continuously for however many experiments were done - Thanks

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