How do I remove all fields of a structure that have at least one NaN?
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Giovanni Barbarossa
am 1 Apr. 2020
Bearbeitet: Walter Roberson
am 2 Apr. 2020
I have a structure S with n fields, field1, field2 etc.. How do I remove those fields that have at least one NaN?
Thank you
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Akzeptierte Antwort
Walter Roberson
am 1 Apr. 2020
The question does not permit us to assume that the struct fields are exclusively numeric or that the fields will not be compound data types, or that the initial structure is a scalar structure. We must assume that it might be a non-scalar structure, containing nested data types, and that for any given field at the top level, if there is a nan anywhere inside the object in any of the array dimensions, that the field must be removed from all struct array locations.
Taking this into consideration, you need a real function, and it is probably easiest to make the function recursive.
Under some restricted conditions, this code could be simplified.
function S = structrmnan(S)
if isstruct(S)
Sfields = fieldnames(S);
tc = struct2cell(S);
cn = cellfun(@containsNan, tc);
mask = any(cn, 2:ndims(cn));
tc(any(cn, 2:ndims(cn)),:) = [];
S = reshape(cell2struct(tc, Sfields(~mask), 1), size(S));
end
end
function tf = containsNan(V)
if isnumeric(V)
tf = nnz(isnan(V))>0;
elseif ischar(V) || islogical(V)
tf = false;
elseif ~isscalar(V)
tf = any(arrayfun(@containsNan, V(:)));
elseif iscell(V)
tf = any(cellfun(@containsNan, V(:)));
elseif isstruct(V)
tf = any(structfun(@containsNan, V(:)));
else
%for example there could be a NaN inside UserData of an array
%of line objects
error('Needs to be extended to handle datatype "%s"', class(V))
end
end
3 Kommentare
Walter Roberson
am 1 Apr. 2020
Bearbeitet: Walter Roberson
am 2 Apr. 2020
Extended to handle datetime, duration, calendarDuration, categorical, string, table
(I do not promise that all cases with table are handled; for example it would not surprise me if this version failed for a table that contained a nested table.)
function S = structrmnan(S)
if isstruct(S)
Sfields = fieldnames(S);
tc = struct2cell(S);
cn = cellfun(@containsNan, tc);
mask = any(cn, 2:ndims(cn));
tc(mask,:) = [];
S = reshape(cell2struct(tc, Sfields(~mask), 1), size(S));
end
end
function tf = containsNan(V)
if ischar(V) || islogical(V)
tf = false;
elseif isnumeric(V) || ...
isdatetime(V) || isduration(V) || iscalendarduration(V) || ...
iscategorical(V) || isstring(V) || istable(V)
tf = nnz(ismissing(V))>0;
elseif ~isscalar(V)
tf = any(arrayfun(@containsNan, V(:)));
elseif iscell(V)
tf = any(cellfun(@containsNan, V(:)));
elseif isstruct(V)
tf = any(structfun(@containsNan, V(:)));
else
error('Needs to be extended to handle datatype "%s"', class(V))
end
end
Weitere Antworten (2)
darova
am 1 Apr. 2020
Bearbeitet: darova
am 1 Apr. 2020
Try rmfield
a = [1 nan 3];
bb = [1 2 3];
S.a = a;
S.bb = bb;
S
nms = fieldnames(S);
for i = 1:length(nms)
f = getfield(S,nms{i});
if isnan(sum(f))
S = rmfield(S,nms{i});
end
end
S
5 Kommentare
darova
am 1 Apr. 2020
- I would have expected a simpler solution
Im a simple man
- Also something like a combination of isnan and any.
As you wish
if any(isnan(f))
James Tursa
am 1 Apr. 2020
Bearbeitet: James Tursa
am 1 Apr. 2020
@Giovanni: For the invalid variable type, you can test for numeric. E.g.,
if isnumeric(f) && any(isnan(f(:)))
Image Analyst
am 1 Apr. 2020
Bearbeitet: Image Analyst
am 1 Apr. 2020
If you want, you can try to use structfun() but it's rather cryptic. darova's solution is much more intuitive and readable.
By the way, I'd have used any() instead of sum(), k instead of i (since i is the imaginary variable), and dynamic field names:
S.a = [1, nan, 3];
S.bb = [1, 2, 3];
S
nms = fieldnames(S);
for k = 1:length(nms)
thisField = S.(nms{k});
if any(isnan(thisField))
S = rmfield(S, nms{k});
end
end
S
2 Kommentare
James Tursa
am 1 Apr. 2020
Including the the type check here as well:
if isnumeric(thisField) && any(isnan(thisField(:)))
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