This is different than e.g., dlmread() that does process files line by line.Īs I've maintained most of textscan.m and strread.m in the last years I feel qualified to say that I'd rather expect the old textscan.m (or rather, its work horse strread.m) to do it wrong.Ī comparison with Matlab would help here. But note that even in that case textscan may still read several data lines per format string. Only if you'd specify a format specifier like '%*' (= skip until the first end-of-line after the last read data field) some notion of data file lines comes in sight. It invokes the format string once, and that format string tells textscan to read three data fields and and return them in three separate output data columns. So in your example textscan does seem to do the right thing. There is no implicit connection between number of data fields in the format string and the number of data per line in the data file. IOW, the format repeat count does NOT specify to read the specified number of lines.įYI, textscan() interprets a data file as just one long sequence of characters and has no notion of "lines" in a data file line endings (EOL) are treated as ordinary delimiters by default.Ī textscan format string just specifies how many data fields are to be read and turned into a corresponding number of output data columns. (The format string may even cover just part of a "line" in a data file.) I rather suspect you mix up the meaning of textscan's format string and the number of data per line in a data file.Ī format repeat count instructs textscan to invoke the format string the specified number of times, no matter how many lines the format would cover. P.p.s.: I tried to build a workaround which unfortunately does skip empty lines (worked around that as well): I do not have easy access to a Matlab system right now. Read until the first of two conditions occurs:ġ) the format has been processed N times, orĢ) N lines of the input have been processed. The optional numeric argument REPEAT can be used for limiting the When I create a text file manually, insert '1.0.2' in it, These codes read this value correctly. This is a text file that copied by MATLAB from other place in HDD (The main file is working correctly). "When reading from file, N specifies the number of data lines to read in this sense it differs slightly from the format repeat count in strread." This code (Out2) returns a string like this: '1.0.2'. Function File: C = textscan (FID, FORMAT, N) Weird enough, it works flawlessly for some of them, but for others, it can only read the very first row of the data, and refuse to move on to read the rest of the data. I'd like to ask about the documentation as I understand it that textscan does handle lines. I have multiple csv files that needs to be loaded into Matlab. Please see for a list of other trademarks owned by The MathWorks, Inc.Thanks for the explanation, I'll be able to adapt to the current version now. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. ![]() With these requirements in mind, you can use the following steps to help you use the textscan() function. In addition, you can’t simply open the file and work with it. ![]() However, you must define a format specification to use this function. InputText=textscan(fid,FormatString, 'delimiter', ',') % Read data blockĭata(1,2:end))]) Using textscan() The textscan() function can read both strings and numbers in the same data set. ![]() InputText=textscan(fid, 'Num SNR=%f') % Read parameter valueįormatString=repmat( '%f',1,NumCols) % Create format string based on parameter InputText=textscan(fid, '%s',2, 'delimiter', '\n') % Read header line Sprintf( 'Block: %s', num2str(Block)) % Display block number Block = 1 % Initialize block index while (~feof(fid)) % For each block. Open the Text File for Reading fid = fopen( 'test80211.txt', 'r') % Open text file Read Introduction Lines InputText=textscan(fid, '%s',4, 'delimiter', '\n') % Read strings delimited by a carriage returnįor each block, we read a header, a table name, column headers for the data, then the data itself. ![]() All the information is read into cell arrays, allowing the storage of different size blocks. textscan converts numeric fields to the specified output type according to MATLAB rules regarding overflow, truncation, and the use of NaN, Inf, and -Inf.
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