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data_clean.m
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data_clean.m
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%==========================================================================
% Remove the columns or rows that are full of NaN
%
% input :
%
% output :
%
% Siqi Li, SMAST
% 2022-06-15
%
% Updates:
%
%==========================================================================
function [id_keep, id_remove] = data_clean(varargin)
ndata = length(varargin);
% 1) Check if all the data have the same dimension
dims = size(varargin{1});
ndim = length(dims);
for i = 2 : ndata
if ~all(dims==size(varargin{i}))
error('The input matrix have different sizes.')
end
end
% 2) Build the new data
for i = 1 : ndata
cmd = ['data(' repmat(':,',1,ndim) 'i) = varargin{:};'];
eval(cmd);
end
% 3) Checking which index could be deleted
for i = 1 : ndim
id_remove{i} = [];
id_keep{i} = [];
for j = 1 : dims(i)
cmd = ['tmp = data(' repmat(':,',1,i-1) 'j' repmat(',:',1,ndim-i) ');'];
eval(cmd);
if all(isnan(tmp(:)))
id_remove{i} = [id_remove{i} j];
else
id_keep{i} = [id_keep{i} j];
end
end
end