How to eliminate texts from the data file?
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I have a .dat file which has three columns of numbers (X,Y and Z). An example file is attached here. In the file there are some texts which prevents me from calling to matlab. In the beginning of the data, it is written "Measurement contains X,Y,Z)" and the next line "Injection #1"... after some rows of values it again says "Injection #2" .. again after some rows "Injection #3" so and so.... I want to eliminate these texts and call the whose rows in each column as X, Y and Z. Can anyone please tell me how to call the file and eliminate those texts in it?
PS: The attached one is just an example. In the real files, I have more than thousands of rows. So, impossible to delete manually.
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Cedric
2013-9-19
Does the file contain the first line "This measurement contains x,y and time" or is it something that you added? Do you need to read all data entries together or do you need to keep track of the injection number?
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Cedric
2013-9-19
编辑:Cedric
2013-9-19
If the first line "This measurement contains x,y and time" is not present (if you added it for us to understand), you can do something as simple as:
buffer = fileread('Test.txt') ;
buffer = regexprep( buffer, 'i.*?\n', '\n') ;
buffer = textscan(buffer, '%f %f %f') ;
data = [buffer{:}] ;
Let me know if you have to eliminate the first line. We can replace FILEREAD with a few lines involving FOPEN/FGETL/FREAD, which skip the first line and read the rest of the file.
EDIT after your comment.
% - Read file, skip 1st line.
fid = fopen('Test.txt', 'r') ;
fgetl(fid) ; % Skip 1st line.
buffer = fread(fid, [1,Inf], '*char') ;
fclose(fid) ;
% - Eliminate 'injection' headers.
buffer = regexprep( buffer, 'i.*?\n', '\n') ;
% - Convert to numeric type.
data = textscan(buffer, '%f %f %f') ;
Then you can extract columns they way you need them.. you can build vectors x, y, t as follows:
x = data{1} ;
y = data{2} ;
t = data{3} ;
or, if you prefer, build a 3 columns array as follows
data = [data{:}] ;
6 个评论
Cedric
2014-5-6
编辑:Cedric
2014-5-6
Hi Aneps, if you still have this question, please send me an email, or post a new question and send me a link by email so I see it.
Well, what about the following actually? Look at data and counts, they contain all injections data by block and counts of events.
content = fileread( 'Test.txt' ) ;
blocks = regexp( content, '#:\d+\s*([^i]+)', 'tokens' ) ;
data = cellfun( @(c) reshape(sscanf(c{1}, '%f'), 3, []).', blocks, ...
'UniformOutput', false ) ;
counts = cellfun( @(d) size(d, 1), data ) ;
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