getenv

Environment variable

Syntax

value = getenv(name)

Description

value= getenv(name)searches the operating system environment variable list for text of the formname=value.

On UNIX^®platforms, the shell you use to start MATLAB^®determines the operating system environment. For example, starting MATLAB on aMacplatform from theApplicationsfolder creates a different shell environment from starting MATLAB from Terminal.

Examples

collapse all

显示系统根目录onWindows

res = getenv('SYSTEMROOT')

res = 'C:\windows'

Input Arguments

collapse all

`name`—Environment variable name
string|character vector

Environment variable name, specified as a string or a character vector.

Example:'PATH'

Output Arguments

collapse all

`value`— Environment variable value
character vector |`[]`

Environment variable value, returned as a character vector. Ifnameis not found, then MATLAB returns an empty matrix.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

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, seeRun MATLAB Functions in Thread-Based Environment.

Version History

Introduced before R2006a

getenv

Syntax

Description

Examples

显示系统根目录onWindows

Input Arguments

name—Environment variable namestring|character vector

Output Arguments

value— Environment variable valuecharacter vector |[]

Extended Capabilities

C/C++ Code GenerationGenerate C and C++ code using MATLAB® Coder™.

Thread-Based EnvironmentRun code in the background using MATLAB®backgroundPoolor accelerate code with Parallel Computing Toolbox™ThreadPool.

Version History

See Also

`name`—Environment variable name
string|character vector

`value`— Environment variable value
character vector |`[]`

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

Thread-Based Environment
Run code in the background using MATLAB®`backgroundPool`or accelerate code with Parallel Computing Toolbox™`ThreadPool`.