startsWith
Determine if strings start with pattern
Description
Examples
Detect Text at Start of String
Create a string array that contains file names. Determine which file names start with the word data
.
str = ["abstract.docx","data.tar","code.m"; ... "data-analysis.ppt","results.ptx","summary.ppt"]
str = 2x3 string
"abstract.docx" "data.tar" "code.m"
"data-analysis.ppt" "results.ptx" "summary.ppt"
Return a logical array where the position of each element equal to 1
corresponds to the position of a string in str
that starts with data
.
pat = "data";
TF = startsWith(str,pat)
TF = 2x3 logical array
0 1 0
1 0 0
Display the file names that start with data
. Index back into str
using TF
.
str(TF)
ans = 2x1 string
"data-analysis.ppt"
"data.tar"
Detect Starts of Paths Using Pattern
Since R2020b
Create a string array that has references to files, including full paths for local files and URLs for remote ones.
str = ["C:\Temp\MyReport.docx"; "D:\Data\Experiment1\Trial1\Sample1.csv"; "https://example.com/Slides.pptx"]
str = 3x1 string
"C:\Temp\MyReport.docx"
"D:\Data\Experiment1\Trial1\Sample1.csv"
"https://example.com/Slides.pptx"
To find the paths that start with a drive letter, create a pattern that matches one letter followed by a colon.
pat = lettersPattern(1) + ":"
pat = pattern
Matching:
lettersPattern(1) + ":"
Determine which elements of str
start with that pattern. The pattern pat
does not match "https:"
because lettersPattern(1)
matches only one letter.
TF = startsWith(str,pat)
TF = 3x1 logical array
1
1
0
Display the matching file names.
str(TF)
ans = 2x1 string
"C:\Temp\MyReport.docx"
"D:\Data\Experiment1\Trial1\Sample1.csv"
For a list of functions that create pattern objects, see pattern
.
Test Start of String Against Multiple Substrings
Create a string array that contains file names. Determine which file names start with either abstract
or data
.
str = ["abstract.docx","data.tar.gz","mycode.m","results.ptx"]
str = 1x4 string
"abstract.docx" "data.tar.gz" "mycode.m" "results.ptx"
pat = ["abstract","data"]; TF = startsWith(str,pat)
TF = 1x4 logical array
1 1 0 0
Display the strings that start with either abstract
or data
. Index back into str
using TF
.
str(TF)
ans = 1x2 string
"abstract.docx" "data.tar.gz"
Ignore Case When Testing Start of String
Create a string array that contains file names. Determine which file names start with data
, ignoring case.
str = ["DATA.TAR.GZ","data.xlsx","SUMMARY.PPT","tmp.gz"]
str = 1x4 string
"DATA.TAR.GZ" "data.xlsx" "SUMMARY.PPT" "tmp.gz"
pat = "data"; TF = startsWith(str,pat,'IgnoreCase',true)
TF = 1x4 logical array
1 1 0 0
Display the strings that start with data
. Index back into str
using TF
.
str(TF)
ans = 1x2 string
"DATA.TAR.GZ" "data.xlsx"
Determine If Character Vector Starts with Substrings
Create a character vector that contains the name of a file. Determine if the name starts with different substrings.
chr = 'data-analysis.ppt'
chr = 'data-analysis.ppt'
TF = startsWith(chr,'data')
TF = logical
1
TF = startsWith(chr,'test')
TF = logical
0
Input Arguments
str
— Input text
string array | character vector | cell array of character vectors
Input text, specified as a string array, character vector, or cell array of character vectors.
pat
— Search pattern
string array | character vector | cell array of character vectors | pattern
array (since R2020b)
Search pattern, specified as one of the following:
String array
Character vector
Cell array of character vectors
pattern
array (since R2020b)
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
The
startsWith
function fully supports tall arrays. For more information,
see Tall Arrays.
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Usage notes and limitations:
str
andpattern
must be a string scalar, a character vector, or a cell array containing not more than one character vector.
Thread-Based Environment
Run code in the background using MATLAB® backgroundPool
or accelerate code with Parallel Computing Toolbox™ ThreadPool
.
This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.
Distributed Arrays
Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.
This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).
Version History
Introduced in R2016b
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