![]() ?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, ',', '. ![]() %textscan inputs work in pairs so your scanning the file using the format There are many ways to import a csv file, including readtable textscan readmatrix csvread (not recommended) dlmread (not recommended) read in combination with a datastore (good approach if there are a lot of files. So I know I need caculate x as time using frame rate, and show him this note from TDT data. I did this: Theme Copy mydata readtable ('mytable. Actually my lab person show to me but after than he delete code. I only have the issue that some values are negative numbers but not for example -9 but with a blank space like - 9. %the formatspec represents what the scan is 'looking'for. I want to simply read the values in a csv file into an array. %rt is permission r for read t for open in text modeĬsv_file = fopen('D:\Dev\MATLAB\stackoverflow_tests\1.csv','rt') Suppose we need to store plain text and you are familiar with the comma separated format. 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. Matlab Read CSV Definition of Matlab Read CSV Matlab provides different options to users the read CSV is one of the options in Matlab. You can use dlmread it works in the following format The file from where the read table function can read the data can be a text file, a comma-separated or csv file, or some other excel workbook. 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. Introduction to Matlab readtable Read table function in MATLAB is used to create a new table by reading data present in the form of columns in a file. 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. ![]()
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