MATLAB - Strings and Characters
MATLAB - Modern String Manipulation
Section titled “MATLAB - Modern String Manipulation”Working with text is a fundamental part of programming, from reading data files to creating user interfaces. Modern MATLAB provides a powerful and intuitive string array type that makes text manipulation easier and more efficient than ever before.
The Modern string vs. Legacy char
Section titled “The Modern string vs. Legacy char”It’s crucial to understand the two ways MATLAB handles text:
string(Double Quotes): This is the recommended modern approach. Astringis a dedicated data type for text. String arrays can hold texts of different lengths without padding, and they come with a rich set of functions for manipulation. Use double quotes ("") to create strings.chararray (Single Quotes): This is the legacy approach. Achararray is an array of individual characters. A1xNchar array is a ‘character vector’. To store multiple texts, you must use aMxNarray where all rows have the same length (requiring padding with spaces) or use a cell array. You will still encounter this in older code.
Creating and Combining Strings
Section titled “Creating and Combining Strings”Creating strings is simple. To combine them, you can use the plus (+) operator, which intuitively concatenates strings and even converts numbers to text automatically.
Essential String Functions
Section titled “Essential String Functions”The string type has many built-in functions that are called using dot notation, making code highly readable. These replace older str* functions.
| Task | Modern string Function | Legacy char Function |
|---|---|---|
| Find substring | contains(str, pattern) | strfind, contains |
| Replace substring | replace(str, old, new) | strrep |
| Split string | split(str, delimiter) | strsplit, strtok |
| Join string array | join(str_array, delimiter) | strjoin |
| Convert to lower/upper case | lower(str), upper(str) | lower, upper |
| Check if starts/ends with | startsWith(str, pat), endsWith(str, pat) | N/A (manual) |
| Get length | strlength(str) | length |
Example: Parsing Log Data
Section titled “Example: Parsing Log Data”Imagine you have log entries and you need to extract specific information. string functions make this task simple.
Working with Legacy Code
Section titled “Working with Legacy Code”You will inevitably encounter older code that uses char arrays. It’s easy to convert between the two types.
Best Practices
Section titled “Best Practices”- Use
stringfor new code. Its benefits in flexibility, readability, and functionality are significant. - Use the
+operator for simple concatenation. It’s clean and handles type conversion automatically. - Use
jointo combine elements of an array, andsplitto break them apart. They are more robust than manual looping. - Leverage function-form for clarity. Instead of
str.lower(), usinglower(str)is often more consistent with other MATLAB functions and can improve readability. - When performance is critical for very large text data,
chararrays can sometimes be faster as they have less overhead. However, for most applications, the convenience ofstringarrays outweighs this.