How can I delete numeric Headings/Delimiters from a large text file

2 次查看(过去 30 天)
I have packets of data each (47,4) (rows,columns) in a massive text file. Each of these packets are separated by a row of numerical headings (1,3). I would like create a script to find all the 3-column rows and delete them thus giving me one massive 4-column data file. (note, all values are numeric) Thanks for the help!
I've attached an example file.

采纳的回答

Jan
Jan 2018-1-19
编辑:Jan 2018-1-23
inFID = fopen(FileName, 'r');
outFID = fopen([FileName, '.fixed'], 'W'); % [EDITED: 'w' => 'W']
Delimiter = ','; % Or whatever it is
Break = char(10);
while ~feof(inFID)
S = fgets(inFID);
if length(findstr(S, Delimiter)) > 2
fwrite(outFID, S, 'char');
fwrite(outFID, Break, 'char'); % Linebreak
end
end
fclose(inFID);
fclose(outFID);
Import each line. Export it only, if it is recognized as not belonging to the "numerical headings (1,3)". Maybe length(findstr(S, Delimiter)) > 2 is not optimal, so please post a short example of how the kind of lines can be distinguished.
By the way: "Massive" text files are nonsense. Text files are useful only, if they are read and edited by human, but this is impossible for huge data. Think of converting the data to a binary format, if you want to store a matrix only. This would be more efficient.
[EDITED 2] Do the lines to be kept start with a space? Then this might be faster:
S = fileread(FileName);
C = strsplit(S, char(10));
C = C(strncmp(C, ' ', 1));
fid = fopen([FileName, '.fixed'], 'W');
fprintf(fid, '%s\n', C{:});
fclose(fid)
  3 个评论
Jan
Jan 2018-1-22
I do not see a need to advertise another thread here. My answer does not concern textscan or regexp. But if you have a good reason to do this, post a link. It is not convenient to let the readers search.
Jan
Jan 2018-1-23
If have changed the output buffering by using fopen('W'). See [EDITED 2] for another idea.

请先登录,再进行评论。

更多回答(2 个)

Greg
Greg 2018-1-20
f = 'examplefile.txt';
fmt = ['%*f%*f%*f',repmat('%f%f%f%f',1,47)];
fid = fopen(f,'rt');
data = textscan(fid,fmt,Inf,'Delimiter',{' ','\n'}, ...
'MultipleDelimsAsOne',true,'CollectOutput',true);
fclose(fid);
data = data{1}';
data = reshape(data,4,[])';
Jan's solution is the brute force, won't break if a block has 46 lines instead of 47. Mine is the take advantage of the given repetition. I'll leave it to you to output the data; as with other comments, I don't recommend writing it out to another .txt file. Chances are that file will just need to be read in again - a .mat file or a standard fwrite(...,'double') format would be drastically more appropriate.
  2 个评论
Tate Shorthill
Tate Shorthill 2018-1-23
thanks for your feedback. I likely will come back to this because the code provided by Jan, while effective, is fairly slow.
Greg
Greg 2018-1-23
You're dealing with ASCII text, slow is kind of your only option. This should be a bit faster than Jan's but keep in mind that his is reading and writing mine is reading only.

请先登录,再进行评论。


per isakson
per isakson 2018-1-20
编辑:per isakson 2018-1-20
And with regular expressions
>> out = cssm('examplefile.txt');
>> out(1:32)
ans =
1 5 0 0
2 15 0 0
3 25 0
>>
where cssm
function out = cssm( ffs )
xpr = [ ... Match the "numerical headings"
'(?m) ' ... "^" and "$" match begining and end of line
'^\x20* ' ... beginning of line and optional space, '\x20'
'[\d.]+ ' ... one or more digits and periods
'[,\x20]+ ' ... list delimiter; one or more comma and space
'[\d.]+ ' ... one or more digits and periods
'[,\x20]+ ' ... list delimiter; one or more comma and space
'[\d.]+ ' ... one or more digits and periods
'\x20* ' ... optional trailing spaces
'\r?\n ' ... zero or one CR and one LF; new line
];
xpr( isspace( xpr ) ) = []; % remove space
str = fileread( ffs ); % read entire file as string
out = regexprep( str, xpr, '' ); % replace "numerical headings" by empty
fid = fopen( 'out.txt', 'w' );
[~] = fwrite( fid, out, 'char' ); % write the modified string
fclose( fid );
end

类别

Help CenterFile Exchange 中查找有关 Text Data Preparation 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by