I have a struct with fields
val = struct with fields:
abstract: [1×1 struct]
body_text: [72×1 struct]
when I extract the text data in body_text using "val.body_text.text" I got 72*1 struct. But when I try "A = val.abstract.text", I got only the first struct of the 72 structs. How can I put all these [72×1 struct] into A?
Thanks!

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"when I try "A = val.abstract.text"
But
val = struct with fields:
abstract: [1×1 struct]
body_text: [72×1 struct]
so val.abstract.text is either invalid reference or is the name of the 1x1 struct under val.abstract
The array of 72 stuct is contained in the val struct field .body_text
It isn't clear why you think there should be more than one element from the reference above...of course, we can't see what the content of these embedded struct is so we've no idea what are fieldnames thereof.
Seems like a very convoluted nested storage--my first recommendation would be to see if you can't somehow simplify this drastically.
''so val.abstract.text is either invalid reference or is the name of the 1x1 struct under val.abstract'''
Not necessarily. For example
>> s.text = '123';
s.xyz = 2;
val.abstract = s;
val.body_text = repmat(s, 1, 72);
>> val
val =
struct with fields:
abstract: [1×1 struct]
body_text: [1×72 struct]
>> val.abstract.text
ans =
'123'
Susan
Susan 2020년 3월 30일
Sorry for the confusion! What I meant was "But when I try "A = val.body_text.text", I got only the first struct of the 72 structs"

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 채택된 답변

Ameer Hamza
Ameer Hamza 2020년 3월 30일
편집: Ameer Hamza 2020년 3월 30일

0 개 추천

Try this, if the data in the field 'text' is scalar
A = [val.abstract.text];
If it is vector than try
A = {val.abstract.text};

댓글 수: 5

Susan
Susan 2020년 3월 30일
Thank you very much! Your answer solved my issue.
Ameer Hamza
Ameer Hamza 2020년 3월 30일
Glad to be of help.
I've got another question regarding the nested struct and your answer would be greatly appreciated.
I have a bunch of .json files, say 1000. To read each files I run the following code
fname = 'C:\Users\...\d90f3c62681e.json';
val = jsondecode(fileread(fname));
then I get
val =
struct with fields:
paper_id: 'd90f3c62681e'
metadata: [1×1 struct]
abstract: [1×1 struct]
body_text: [4×1 struct]
bib_entries: [1×1 struct]
ref_entries: [1×1 struct]
back_matter: []
val.abstract =
struct with fields:
text: '300 words) The data ...'
cite_spans: []
ref_spans: []
section: 'Abstract'
val.body_text =
4×1 struct array with fields:
text
cite_spans
ref_spans
section
which the name of each file is the paper_ID. I am only interested in the text data in val.abstract.text and val.body_text.text which their sizes may change from file to file. How can I get all the text data from each file and put them in a single .json files? I have attached 3 .json files from the data set I have. Any input would be greatly appreciated.
Try the following code. Place it one directly above the JSON files, or you can modify the first line according to the path of your JSON files. It will read all files, and gather their abstract.text and body_text.text fields into one struct. It then writes the final struct as a JSON file.
files = dir('JSON files/*.json');
s = struct('abstract', [], 'body_text', []);
for i=1:numel(files)
filename = fullfile(files(i).folder, files(i).name);
data = jsondecode(fileread(filename));
if ~isempty(data.abstract)
s.abstract = [s.abstract; cell2struct({data.abstract.text}, 'text', 1)];
end
if ~isempty(data.body_text)
s.body_text = [s.body_text; cell2struct({data.body_text.text}, 'text', 1)];
end
end
str = jsonencode(s);
f = fopen('filename.json', 'w');
fprintf(f, '%s', str);
fclose(f);
Susan
Susan 2020년 3월 31일
Thank you so much! I really appreciate your help.

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