Hello Adrian,

In essence, your extremely useful solution is similar to what Samuel and Jan proposed: grab the whole file once. I must admit I did not even consider it given the length of the files involved and how easily I managed to crash scilab on small files.


Thanks,


Antoine

On 27/04/2020 18:58, Adrian Weeks wrote:

Hi Antoine,

I often have to read csv files with odd lines that trip functions like csvRead so I often use the method below.  It may solve your problem.

dataread = mgetl(readfile); // Read everything

a = [];

b = [];

…

for i = 1: size(dataread, 'r') do

line = dataread(i);

if length(line) ~= 0 then                                                 // Ignore blank lines

line = tokens(line, [' ', ',', ascii(9)]);            // Accept spaces, commas or tabs

if and(isnum(line)) then                                // If the line is all-numeric

line = strtod(line);

a = [a; line(1)];

b = [b; line(2)];

…

end

end

end

Adrian Weeks
Development Engineer, Hardware Engineering EMEA
Office: +44 (0)2920 528500 | Desk: +44 (0)2920 528523 | Fax: +44 (0)2920 520178
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*From:*users <[email protected]> *On Behalf Of *Antoine Monmayrant
*Sent:* 27 April 2020 16:41
*To:* Users mailing list for Scilab <[email protected]>
*Subject:* [EXT] [Scilab-users] parsing TSV (or CSV) file with scilab is a nightmare

**** Please use caution this is an externally originating email. *** ***

Hi all,

This is both a rant and desperate cry for help.
I'm trying to parse some TSV data (tab separated data file) with scilab and I cannot find a way to navigate around the minefield of bugs present in meof/mgetl/mgetstr/csvRead.

A bit of context: I need to load into scilab data generated by a closed source software. The data is in the form of many TSV files (that I cannot share in full, just some redacted bits) with a header and a footer. I don't want to hand modify these files or edit them in any way (I need to keep this as portable as possible, so no sed/awk/grep...)


    OPTION 1: csvRead

That's the most intuitive solution, however, because of http://bugzilla.scilab.org/show_bug.cgi?id=16391 <https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fbugzilla.scilab.org%2Fshow_bug.cgi%3Fid%3D16391&data=02%7C01%7Caweeks%40hidglobal.com%7C958a9bb7c76f40cef22108d7eac3d120%7Cf0bdc1c951484f86ac40edd976e1814c%7C0%7C0%7C637235999087304170&sdata=Myj7OkrpbGfSl3LD4QAoYzifF80drUrz6nPjP9H7xC8%3D&reserved=0> and the presence of more than 1 empty line in my header/footer, this crashes Scilab.


    OPTION 2: hand parsing line by line using mgetl/meof

I tried:

filename="tsv.txt";
[fd, err] = mopen(filename, 'rt');
while ~meof(fd) do
    txtline=mgetl(fd,1);
end
mclose(fd)

Saddly, and contrary to what's written in "help mgetl", meof keeps on returning 0, well passed the end of the file and the while never ends!


    OPTION 3: hand parsing chunk by chunk using mgetstr/meof

"help meof" does not confirm that meof should work with mgetl, but mgetstr is specifically listed.
I thus tried:

filename="tsv.txt";
[fd, err] = mopen(filename, 'rt');
while ~meof(fd) do
    txtchunk=mgetstr(80,fd);
end
mclose(fd)

But thanks to http://bugzilla.scilab.org/show_bug.cgi?id=16419 <https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fbugzilla.scilab.org%2Fshow_bug.cgi%3Fid%3D16419&data=02%7C01%7Caweeks%40hidglobal.com%7C958a9bb7c76f40cef22108d7eac3d120%7Cf0bdc1c951484f86ac40edd976e1814c%7C0%7C0%7C637235999087304170&sdata=BOnmop38zy8wUtFRwrPSoVl9HTsJT6NcQAY23qPK8f8%3D&reserved=0> this is also crashing Scilab.


    OPTION 4: Can anyone here help me with this?

I am really running out of ideas.
Did I miss some -hmm- obvious combination of available file parsing scilab functions to achieve my goal? I have the feeling that it would have been faster for me to just learn a totally new language that does not suck at parsing files than trying to get it to work with scilab....

Antoine

(depressed)

http://bugzilla.scilab.org/show_bug.cgi?id=16419 <https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fbugzilla.scilab.org%2Fshow_bug.cgi%3Fid%3D16419&data=02%7C01%7Caweeks%40hidglobal.com%7C958a9bb7c76f40cef22108d7eac3d120%7Cf0bdc1c951484f86ac40edd976e1814c%7C0%7C0%7C637235999087314165&sdata=hrLO7KWziAoacs9ytFJzziqv89FCY46SUNdZEUgvKNQ%3D&reserved=0>


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