7/21/2023 0 Comments Matlab read csv![]() EDIT1: to use textscan instead, the following code should do the trick or at least most of it. Question: MATLAB: Read the saved CSV file, take the average and standard deviation of each ROW. ?fined above and with a semicolon delimeterĬ = textscan(csv_file, formatSpec, 'Delimiter', ' ') ĮDIT2: to replace the comma with a dot and convert to a integer of type double: = size(C) Ĭonverted_data = str2double(strrep(A, ',', '. You can use dlmread it works in the following format M dlmread (filename,' ') the filename is a string with the full path of the file unless the file is in the current working directory in which case you can just type the filename. ![]() %textscan inputs work in pairs so your scanning the file using the format As with all indices in MATLAB, row and column values start at zero, so this command will start from the fifth column in the fourth row of the CSV file. %the formatspec represents what the scan is 'looking'for. %rt is permission r for read t for open in text modeĬsv_file = fopen('D:\Dev\MATLAB\stackoverflow_tests\1.csv','rt') The filename is a string with the full path of the file unless the file is in the current working directory in which case you can just type the filename.ĮDIT1: to use textscan instead, the following code should do the trick or at least most of it. How about: csv read for the numeric part reads the csv file from row 1 on, to avoid the headers, and string date M csvread ('test. ![]() You can use dlmread it works in the following format I have a csv file with data that goes like: 3 2 91 83 17 3 2 86 84 4 3 2 90 83 162 (there's a total of 7000 rows) I need a way to read this into an. once that is done you can click import selection beneath the arrow and generate a script or function that will follow the same rules defined in the import data window. dlmread will only import numeric data, but your date and time columns need to be treated as. EDIT3 (ACCEPTED ANSWER): Using the import data button in the variable section of the home toolbar it is possible to customise how the data is imported. Id use textscan for this if you want to import all of the data.
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