read data from csv file & fast processing
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i have a data like which is read from csv file like
10;20;2;3;45;56;87;56;988;434;10;20;2;3;45;56;87;56;988;434
i have 9lakhs of data like this what is best way to separate by ; & form a matrix
because now it is consuming to much of time
Thanks in advance
12 Kommentare
Jan
am 27 Nov. 2012
@shaz: Although it looks obvious, that you neither read the comments nor care about them: Please stop using the term "lakh" without any further explanations, because it is not part of the English language such that it might confuse the readers. It is very friendly that Per explained this, but this has been your your turn actually.
Can you imagine the effects, when you do not care about questions for clarifications?
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Jan
am 7 Nov. 2012
Bearbeitet: Jan
am 8 Nov. 2012
fid = fopen(FileName, 'r');
if fid == -1, error('Cannot open file!'); end
header = fgetl(fid); % Read header line
pos = ftell(fid); % Store position [EDITED: fseek -> ftell]
line1 = fgetl(fid); % first data line
data = sscanf(line1, '%g;', Inf);
ncol = length(data);
fmt = repmat('%g; ', 1, ncol);
fseek(fid, pos, 'bof'); % Restore file position
data = fscanf(fid, fmt, Inf);
data = transpose(reshape(data, ncol, []));
fclose(fid);
Please check the reshape and transpose, if it satisfies your needs.
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