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Definizioni degli argomenti

Accettare un numero variabile di input o output, verificare che i valori siano validi

Poiché MATLAB^® è un linguaggio non tipizzato, la maggior parte delle funzioni non richiede la dichiarazione o la convalida degli argomenti. Tuttavia, se la funzione è molto utilizzata e occorre verificare il tipo, la dimensione o altri aspetti degli input per garantire che il codice funzioni come previsto, è possibile definire un blocco arguments (dalla release R2019b). Per maggiori informazioni, consultare Function Argument Validation.

Inoltre, è possibile verificare quanti input o output riceve la funzione, i nomi delle variabili di input e altro ancora.

Funzioni

espandi tutto

Dichiarazione e convalida degli argomenti

Blocco degli argomenti

arguments Declare function argument validation

Convalida dei valori numerici

`mustBePositive`	Validate that value is positive
`mustBeNonpositive`	Validate that value is nonpositive
`mustBeNonnegative`	Validate that value is nonnegative
`mustBeNegative`	Validate that value is negative
`mustBeFinite`	Validate that value is finite
`mustBeNonNan`	Validate that value is not NaN
`mustBeNonzero`	Validate that value is nonzero
`mustBeNonsparse`	Validate that value is nonsparse
`mustBeSparse`	Validate that value is sparse (Da R2023b)
`mustBeReal`	Validate that value is real
`mustBeInteger`	Validate that value is integer
`mustBeNonmissing`	Validate that value is not missing (Da R2020b)

Confronti

`mustBeGreaterThan`	Validate that value is greater than another value
`mustBeLessThan`	Validate that value is less than another value
`mustBeGreaterThanOrEqual`	Validate that value is greater than or equal to another value
`mustBeLessThanOrEqual`	Validate that value is less than or equal to another value

Tipi di dati

`mustBeA`	Validate that value comes from one of specified classes (Da R2020b)
`mustBeNumeric`	Validate that value is numeric
`mustBeNumericOrLogical`	Validate that value is numeric or logical
`mustBeFloat`	Validate that value is floating-point array (Da R2020b)
`mustBeText`	Validate that value is string array, character vector, or cell array of character vectors (Da R2020b)
`mustBeTextScalar`	Validate that value is single piece of text (Da R2020b)
`mustBeNonzeroLengthText`	Validate that value is text with nonzero length (Da R2020b)
`mustBeUnderlyingType`	Validate that value has specified underlying type (Da R2020b)

Dimensione

`mustBeNonempty`	Validate that value is nonempty
`mustBeScalarOrEmpty`	Validate that value is scalar or empty (Da R2020b)
`mustBeVector`	Validate that value is vector (Da R2020b)

Appartenenza all’intervallo o all’insieme

`mustBeInRange`	Validate that value is in the specified range (Da R2020b)
`mustBeMember`	Validate that value is member of specified set

Nomi

`mustBeFile`	Validate that path refers to file (Da R2020b)
`mustBeFolder`	Validate that input path refers to folder (Da R2020b)
`mustBeValidVariableName`	Validate that input name is valid variable name (Da R2020b)

Struttura degli argomenti nome-valore

namedargs2cell Convert structure containing name-value pairs to cell array

Elenchi degli argomenti variabile-lunghezza

Input

`varargin`	Variable-length input argument list
`nargin`	Number of function input arguments
`narginchk`	Validate number of input arguments

Output

`varargout`	Variable-length output argument list
`nargout`	Number of function output arguments
`nargoutchk`	Validate number of output arguments

Verifiche supplementari

`validateattributes`	Check validity of array
`validatestring`	Check validity of text
`validatecolor`	Validate color values (Da R2020b)
`inputname`	Variable name of function input
`mfilename`	Filename of currently running code
`inputParser`	Input parser for functions

Argomenti

Convalida dell’argomento

Function Argument Validation

Declare argument class and size, and enforce restrictions on argument values.
Argument Validation Functions

Validate specific requirements of arguments using validation functions. Write your own functions to check for specific argument requirements.
- Use Validation Functions to Avoid Unwanted Class and Size Conversions
- Use nargin Functions During Argument Validation
Check Function Inputs with validateattributes
This example shows how to verify that the inputs to your function conform to a set of requirements using the validateattributes function.
Parse Function Inputs

Define required and optional inputs, assign defaults to optional inputs, and validate all inputs to a custom function using the Input Parser.
- Input Parser Validation Functions

Numero di argomenti

Support Variable Number of Inputs
Define a function that accepts a variable number of input arguments using varargin. The varargin argument is a cell array that contains the function inputs, where each input is in its own cell.
Support Variable Number of Outputs
Define a function that returns a variable number of output arguments using varargout. Output varargout is a cell array that contains the function outputs, where each output is in its own cell.
Find Number of Function Arguments

Use nargin and nargout to determine how many input or output arguments your function receives.
- Validate Number of Function Arguments
- Checking Number of Arguments in Nested Functions

Input passanti

Ignore Inputs in Function Definitions
If your function accepts a predefined set of inputs, but does not use all the inputs, use the tilde (~) operator to ignore them in your function definition.