YAML 1.1 parser and emitter for MATLAB R2019b or newer. Based on SnakeYAML 1.30.
>> data.a = [1.23, 4.56];
>> data.b = {int32(2), {true, "hello", yaml.Null}};
>> s = yaml.dump(data)
"a: [1.23, 4.56]
b:
- 2
- [true, hello, null]
"
>> result = yaml.load(s)
a: {[1.2300] [4.5600]}
b: {[2] {1×3 cell}}>> yaml.dumpFile("test.yaml", data)
>> result = yaml.loadFile("test.yaml")
a: {[1.2300] [4.5600]}
b: {[2] {1×3 cell}}>> s = yaml.dump(data, "auto") % default
"a: [1.23, 4.56]
b:
- 2
- [true, hello, null]
"
>> s = yaml.dump(data, "block")
"a:
- 1.23
- 4.56
b:
- 2
- - true
- hello
- null
"
>> s = yaml.dump(data, "flow")
"{a: [1.23, 4.56], b: [2, [true, hello, 'null']], c: [2, [true, hola]]}
">> result = yaml.load("null")
Null
>> yaml.isNull(result)
1
>> s = yaml.dump(yaml.Null)
"null
"By default, sequences are loaded as nested cell arrays to distinguish between YAML scalars and YAML one-element sequences and to supported mixed type sequences. If you use the ConvertToArray option, sequences are converted to 1D or 2D standard arrays if possible:
>> yaml.load("[[1, 2], [3, 4]]", "ConvertToArray", true)
1 2
3 4Since every MATLAB scalar is always an array and every array technically has at least 2 dimensions, there exists two ambiguities when dumping arrays:
- MATLAB scalar → YAML scalar (default) or YAML one-element sequence
- MATLAB vector → YAML sequence (default) or YAML sequence containing one YAML sequence
To avoid theses ambiguities and get consistent conversion behaviour, convert all your array data to nested vector cells before dumping them.
>> yaml.dump({1})
"[1.0]
"
>> yaml.dump({{1, 2}})
"- [1.0, 2.0]
"
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