jsondecode

Decode JSON-formatted text

Syntax

value = jsondecode(txt)

Description

value = jsondecode(txt) parses JSON text.

Examples

Decode JSON Text

Display the JSON-formatted string ["one", "two", "three"].

jsondecode('["one", "two", "three"]')

ans = 3x1 cell
    {'one'  }
    {'two'  }
    {'three'}

Input Arguments

txt — JSON-formatted text

string scalar | character vector

JSON-formatted text, specified as a string scalar or character vector. Invalid names in the JSON text are made valid with matlab.lang.makeValidName.

Example: '{"IDs":[116,943,234,38793]}'

Data Types: char

Output Arguments

value — MATLAB^® data

any MATLAB data type

MATLAB data returned as decoded JSON-formatted text. value depends on the data encoded in txt.

Limitations

• If you decode, then encode a value, MATLAB does not guarantee that the result is identical to the original string. In particular, field names in JSON objects that are not valid MATLAB identifiers might be altered by the makeValidName function.

Algorithms

JSON supports fewer data types than MATLAB. jsondecode converts JSON data types to the MATLAB data types in this table. jsondecode converts JSON object field names to MATLAB structure field names.

JSON Data Type	MATLAB Data Type
null, in numeric arrays	NaN
null, in nonnumeric arrays	Empty double []
Boolean	Scalar logical
Number	Scalar double
String	Character vector
Object (In JSON, object means an unordered set of name-value pairs.)	Scalar structure (Names are made valid using matlab.lang.makeValidName.)
Array, when elements are of different data types	Cell array
Array of boolean	Array of logical
Array of numbers	Array of double
Array of strings	Cell array of character vectors
Array of objects — Same field names	Structure array
Array of objects — Different field names	Cell array of scalar structures