Loren on the Art of MATLAB has been archived and will not be updated.
Working with text in MATLAB has evolved over time. Way back, text data was stored in double arrays with an internal flag to denote that it was meant to be text. We then transformed this representation so character arrays were their very own type. And I mentioned earlier that we introduced a string datatype to make working with text data more efficient and natural. Let me show you a little more.... 더 읽어보기 >>
Even if we crunch numbers a lot, there are plenty of times, for example, when reporting, that we need to mix numbers into text. For a very long time, we've been able to create a character vector, and more recently, a string, with functions like sprintf. Look here for more information on character arrays and strings.... 더 읽어보기 >>
Today I'd like to introduce a guest blogger, Stephen Doe, who works for the MATLAB Documentation team here at MathWorks. In today's post, Stephen discusses how, and why, you might want to update your code to accept string arrays as inputs.... 더 읽어보기 >>
A lot of information is shared on the web and a lot of people are interested in taking advantage of it. It can be used to enrich the existing data, for example. However, information is buries in HTML tags and it is not easy to extract useful information. Today's guest blogger, Toshi Takeuchi shows us how he uses MATLAB for web scraping to harvest useful data from the web and then uses fuzzy string match to enrich existing data.... 더 읽어보기 >>
I'd like to introduce today's guest blogger, Dave Bergstein, a MATLAB Product Manager at MathWorks. In today's post, Dave discusses recent updates to text processing with MATLAB.... 더 읽어보기 >>
There is a new way to work with textual data in MATLAB R2016b. The new string datatype haven't got enough attention from me until recently. I have been chatting with colleagues Matt Tearle and Adam Sifounakis and we have each discovered a similar beautiful code pattern in MATLAB for generating a sequence of strings.... 더 읽어보기 >>