11/10/2023 0 Comments Matlab import csv as cell array![]() To load data simply use the load command: load practice.mat % you have to be in the directory containing practice.mat The process should be self-explanatory, with the caveat that you need to be aware of the limits of what type of data can be written out using each command. For more information, see the help files listed below. Thankfully, writing data out is basically the reverse process of reading data in. It only took four lines to solve a data cleaning problem that would be absurd to do by hand-editing. But there aren't that many new concepts, just more functions to learn. There is a lot of Matlab left to learn, and unfortunately, it's sometimes needed for very basic things.Again, we use logical indexing with strtype to select the string values in raw, convert them to numbers, and assign these to the correct subset of dat. Here, we do have a nice, vectorized function, str2double that converts all our string-valued cells to double-precision numbers (this won't be quite right for your integers, since it will add decimal points, but you can fix that later). Finally, we need to convert the string cells to number and copy them over.We can convert those to an array using the cell2mat function. On the right-hand side, we need to get cells from raw using ~strtype, but that returns cells. We use logical indexing, with ~strtype as our logical (it's 0 for strings and 1 for numbers). Next, we want to copy all the numbers.For reasons we'll cover in the intermediate class, you need to do that using The return from cellfun is then a matrix the same size as the cell array, with a 1 if the corresponding cell contains a string and 0 otherwise. To do that, we need to supply the name of a function to use on each cell. cellfun is a function that applies a function to every element of a cell array. As you will find, functions like ischar that test whether a single variable is a string, don't work so well on cell array. ![]()
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