![]() %and another with all the remaining string values. Learn more about data import, while loop, for loop, textscan, indexing MATLAB Compiler, MATLAB Coder Hello, I have an nx12 matrix in a text file with tab delimiters and would like to import certain chunks of information. The important point here is that when textscan encounters a row that doesn't contain numbers it returns an empty matrix so when you concatenate the resulting vectors you just get the ones that come from non-string rows. I have thus far tried the textscan function as follows: c = textscan(f,'%d %s','delimiter',':') %this creates two cells one with all the user_ids (This would work as I know a-priori the number of users and items in my universe so ids cannot be greater than that ). ![]() I would like to read this data into a matlab cell array or better yet ultimately convert it into a sparse matrix wherein the user_id represents the row index, and the item_id represents the column index and store the corresponding rating in that array index. So each line has values separated by a colon where the value to the left of the colon is a number representing user_id and the values to the right are tuples of item_ids (also numbers) and rating (numbers not floats). These conversion specifiers determine the type of each cell in the output cell array. MATLAB parses the data into fields and converts it according to the conversion specifiers in the format string. Putting them into one cell array would just make the syntax to read and manipulate them harder with no benefit other than combinign them. ![]() Here's the entire file (not sure pasting here is the right way to do this - i'm new to both matlab and stackoverflow.I have a file in the following format in matlab: user_id_a: (item_1,rating),(item_2,rating).(item_n,rating) C textscan(fid, 'format') reads data from an open text file identified by file identifier fid into cell array C. You might want to keep these in a structure: data.num num data.txt txt This will keep them in one container, and let you refer to them as more intuitive names. (I've also tried a number of variations, such as defining the delimiter as ' ', with the same result) And your second textscan call is left without. So after your command: data textscan (fid, 'f ','HeaderLines',0) there is no cheese left. Every line of the file which got read by textscan is like you have eaten one slice of cheese. I also tried to specify the date and time using datetime format: time = textscan(fid,'%s %D')īoth of these just produce a blank cell. The reason why your approach is not working is the file-ID fid. And the second row would have 5 cells, representing the coordinates of. If str is a character array with more than one row, sscanf reads the characters in column order. ![]() So what I wanted the textscan to output was a 4 row cell array, the first row would have 6 cells representing the coordinates of the 6 regions for that specific row(in this case leaf tips). The sscanf function repeatedly applies formatSpec to sequences of characters in str until it either reaches the end of str or fails to match formatSpec to a sequence of characters. ![]() For instance, if the first 5 lines of the files are the header, just add the option 'headerlines', 5 to the function call. I first tried to specify these as strings ( %s): fid = fopen(fname) A two column matrix would be great as each cell would contain a single coordinate. textscan is of course capable of handling headerlines and even comments within the file. I figured there are 3 columns of this row, with single white space as delimiter. Which command should I use if I'm importing data. The command seems to work fine if I only have a vector in the text file, but if I have a matrix, matlab will change the structure of the data and store the matrix as a vector. I've tried using textscan, which I have used before for similar problems. Is textscan the correct command to use when importing data from text files into matlab. I have a number of text files with data, and want to read a specific part of each file (time information), which is always located at the end of the first row of each file. ![]()
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