从
the documentation
为了
struct
function, when you have multiple fields being created in the same
struct
call:
"If any of the
价值
inputs is a nonscalar cell array, then
s
has the same dimensions as that cell array. Also, if two or more
价值
inputs are nonscalar cell arrays, then they all must have the same dimensions.
For any
价值
that is a scalar cell array or an array of any other data type,
struct
插入的内容
价值
in the relevant field for all elements of
s
. For example,
s = struct('x',{'a','b'},'y','c')
returns
s(1).x = 'a'
,
s(2).x = 'b'
,
s(1).y = 'c'
, and
s（2）.y ='c'
."
In your first example,
>> spcase = struct('enable',true,...% array of any other data type
'vendors',{'IDT'},...％标量单元阵列
'trainOp',{'RTNV','RTLV','RTHV'},...% nonscalar cell array
'testOp',{'RTNV','RTLV','RTHV'},...% nonscalar cell array
'fnum', 1:8);% array of any other data type
两个非大规模单元阵列都有相同的尺寸，因此
struct
that is created has that same dimension and each of the other fields have the same value in each element of the
struct
array.
In your second example,
you create a scalar
struct
array then assign values to its fields. That post-creation assignment does not behave the same way (turning it into a nonscalar
struct
array) as creating it as a nonscalar
struct
in the first place.
If you want your first example to behave like your second, wrap the nonscalar cell arrays inside a scalar cell array.
>> spcase = struct('enable',true,...% array of any other data type
'vendors',{'IDT'},...％标量单元阵列
'trainOp',{{'RTNV','RTLV','RTHV'}},...％标量单元阵列
'testOp',{{'RTNV','RTLV','RTHV'}},...％标量单元阵列
'fnum', 1:8);% array of any other data type
