Vector dimesions are different before encoding json and after decoding json

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CHV 2022 年 3 月 3 日
コメント済み: CHV 2022 年 3 月 9 日
Before encoding to json file the mat files are having vectors are as row vector. But after encoding (jsonencode) and decoding(jsondecode), the vectors are changed to column vectors in workspace. And I want the same dimensions after decoding also, how can I get that ?
b.c = 22;
a= jsonencode(b);
  2 件のコメント
KSSV 2022 年 3 月 3 日
You can transpose right?
CHV 2022 年 3 月 3 日
編集済み: CHV 2022 年 3 月 3 日
Transpose is easy for few variables and above one I have shown is just one variable.But I am having lot of variables with different dimensions as structure array.After decoding I need same dimensions as before encoding.



Ive J
Ive J 2022 年 3 月 3 日
編集済み: Ive J 2022 年 3 月 3 日
How about this?
mystr.f1 = 1:4;
mystr.f2 = (1:4).';
js = jsonencode(mystr);
newstr = jsondecode(js)
newstr = struct with fields:
f1: [4×1 double] f2: [4×1 double]
fnames = fieldnames(mystr);
fnames = fnames(structfun(@isrow, mystr)); % field names to be changed
for i = 1:numel(fnames)
newstr.(fnames{i}) = newstr.(fnames{i}).';
newstr = struct with fields:
f1: [1 2 3 4] f2: [4×1 double]
  3 件のコメント
Ive J
Ive J 2022 年 3 月 3 日
jsondecode output will be always a column vector irrespective of your input structure. So, you have to find another way of passing dimensions of vectors stored in your initial structure (mystr in my example), because you cannot infer it from a decoded json anyway. You can also work with mps.json.encode which is the schema for MATLAB Production Server, and especially designed for MATLAB data types. Note the difference between column and row vectors in this case:
x.a = 1:3; x.b = (1:3)';
js = mps.json.encode(x)
js = '{"a":[[1,2,3]],"b":[1,2,3]}'
% decode again
newx = mps.json.decode(js)
newx = struct with fields:
a: [1 2 3] b: [3×1 double]
CHV 2022 年 3 月 9 日
Thanks for the explanation and its worked.


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