Saving a csv file as a.mat file. Learn more about csv, mat, save, csvread MATLAB. CSV vs MAT files. Learn more about csv mat. Toggle Main Navigation. I have a csv file and want to convert it to a matlab file. How can i do this?

Maybe it will help if I say step by step what I am trying to do. I download a intra day stock price history csv file from www.stockrageous.com I can either load it into excel to format(I think I have to do this because their is text and a time col.

Convert mat-files into CSV.files. Learn more about csv, dir, mat-file, csv-file, mutiple. Read csv-File fast / convert csv to mat. Learn more about csv, csv import, fast import.

Formatted w/ xx:xx) or can try to load the file directly to matlab. When I try to load it into matlab there are errors. I got the excel file to load in and then save as a.mat file when I format the excel file by not having a time col and removing the text headers. What I want to do: stockrageous.com. Hunter The Vigil Pdf. csv file to.mat file so it can load through with the for mentioned code.

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I think the answer to both (1) and (2) is.mat file. ASCII files (like CSV) require conversion to and from the format in memory (binary), which makes them slow. Moreover, if written at more than 6 significant figures, they are bigger than the usual (double precision) binary format as well. Therefore, you should probably only use CSV if either (a) you need to exchange data with software that can read CSV but cannot read MAT (like Excel) or (b) you want to be able to peruse the data yourself in a text editor or CSV editor. Aside, if speed is your absolute goal, consider using save myvariable myfile -v6 because both the save() and load() commands are much quicker if compression is disabled like this (compression was not available in Version 6 of Matlab). Vice versa, if small file size is your goal, use the usual save/load commands.

Depending on the data, you might get some additional savings by first casting to a smaller data type. For instance, if you are storing data as double precision but are confident that single precision will be enough. Try this: a = randn(1000, 1); save a1 a a = single(a); save a2 a and check the filesizes. Note that the filesize has got smaller in a2 because you've thrown away information which you judged yourself to be irrelevant. • If you're going to be using it outside of MATLAB ->CSV • If you're only using it within MATLAB and you're motivating to writing/reading directly, then write it to binary using fwrite, and fread to pull it in. I used to do this, but got lazy and realized it's much easier even if slower to use MAT files • If you're lazy and want something easy/the ability to store multiple variables at once ->.MAT My suggestion after years of being angry at reading in a binary file with the wrong dimensions: use.mat files.