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function resu = cat(dim, A, varargin)
%# function resu = cat(dim, A, varargin)
%# This is the concatenation operator for a dataframe object. 'Dim'
%# has the same meaning as ordinary cat. Next arguments may be
%# dataframe, vector/matrix, or two elements cells. First one is taken
%# as row/column name, second as data.
%% Copyright (C) 2009-2017 Pascal Dupuis <cdemills@gmail.com>
%%
%% This file is part of the dataframe package for Octave.
%%
%% This package is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 3, or (at your option) any later version.
%%
%% This package is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with this package; see the file COPYING. If not,
%% see <http://www.gnu.org/licenses/>.
try
NA = NA;
catch
NA = NaN;
end
if (~isa (A, 'dataframe')),
A = dataframe (A);
end
switch dim
case 1
resu = A;
for indi = (1:length (varargin))
B = varargin{indi};
if (~isa (B, 'dataframe'))
if (iscell (B) && 2 == length (B))
B = dataframe (B{2}, 'rownames', B{1});
else
B = dataframe (B, 'colnames', inputname(2+indi));
end
end
if (resu.x_cnt(2) ~= B.x_cnt(2))
error ('Different number of columns in dataframes');
end
%# do not duplicate empty names
if (~isempty (resu.x_name{1}) || ~isempty (B.x_name{1}))
if (length (resu.x_name{1}) < resu.x_cnt(1))
resu.x_name{1}(end+1:resu.x_cnt(1), 1) = {''};
end
if (length (B.x_name{1}) < B.x_cnt(1))
B.x_name{1}(end+1:B.x_cnt(1), 1) = {''};
end
resu.x_name{1} = vertcat (resu.x_name{1}(:), B.x_name{1}(:));
resu.x_over{1} = [resu.x_over{1} B.x_over{1}];
end
resu.x_cnt(1) = resu.x_cnt(1) + B.x_cnt(1);
if (size (resu.x_ridx, 2) < size (B.x_ridx, 2))
resu.x_ridx(:, end+1:size(B.x_ridx, 2)) = NA;
elseif (size (resu.x_ridx, 2) > size (B.x_ridx, 2))
B.x_ridx(:, end+1:size(resu.x_ridx, 2)) = NA;
end
resu.x_ridx = [resu.x_ridx; B.x_ridx];
%# find data with same column names
dummy = A.x_over{2} & B.x_over{2};
indA = true (1, resu.x_cnt(2));
indB = true (1, resu.x_cnt(2));
for indj = (1:resu.x_cnt(2))
if (dummy(indj))
indk = strmatch (resu.x_name{2}(indj), B.x_name{2}, 'exact');
if (~isempty (indk))
indk = indk(1);
if (~strcmp (resu.x_type{indj}, B.x_type{indk}))
error ('Trying to mix columns of different types');
end
end
else
indk = indj;
end
resu.x_data{indj} = [resu.x_data{indj}; B.x_data{indk}];
indA(indj) = false; indB(indk) = false;
end
if (any (indA) || any (indB))
error ('Different number/names of columns in dataframe');
end
end
case 2
resu = A;
for indi = (1:length (varargin))
B = varargin{indi};
if (~isa (B, 'dataframe'))
if (iscell (B) && 2 == length (B))
B = dataframe (B{2}, 'colnames', B{1});
else
B = dataframe (B, 'colnames', inputname(2+indi));
end
B.x_ridx = resu.x_ridx; %# make them compatibles
end
if (resu.x_cnt(1) ~= B.x_cnt(1))
error ('Different number of rows in dataframes');
end
if (any(resu.x_ridx(:) - B.x_ridx(:)))
error ('dataframes row indexes not matched');
end
resu.x_name{2} = vertcat (resu.x_name{2}, B.x_name{2});
resu.x_over{2} = [resu.x_over{2} B.x_over{2}];
resu.x_data(resu.x_cnt(2)+(1:B.x_cnt(2))) = B.x_data;
resu.x_type(resu.x_cnt(2)+(1:B.x_cnt(2))) = B.x_type;
resu.x_cnt(2) = resu.x_cnt(2) + B.x_cnt(2);
end
case 3
resu = A;
for indi = (1:length (varargin))
B = varargin{indi};
if (~isa (B, 'dataframe'))
if (iscell (B) && 2 == length (B)),
B = dataframe (B{2}, 'rownames', B{1});
else
B = dataframe (B, 'colnames', inputname(indi+2));
end
end
if (resu.x_cnt(1) ~= B.x_cnt(1))
error ('Different number of rows in dataframes');
end
if (resu.x_cnt(2) ~= B.x_cnt(2)),
error ('Different number of columns in dataframes');
end
%# to be merged against 3rd dim, rownames must be equals, if
%# non-empty. Columns are merged based upon their name; columns
%# with identic content are kept.
if (size(resu.x_ridx, 2) < size(B.x_ridx, 2))
resu.x_ridx(:, end+1:size(B.x_ridx, 2)) = NA;
elseif (size(resu.x_ridx, 2) > size(B.x_ridx, 2))
B.x_ridx(:, end+1:size(resu.x_ridx, 2)) = NA;
end
resu.x_ridx = cat (3, resu.x_ridx, B.x_ridx);
%# find data with same column names
indA = true (1, resu.x_cnt(2));
indB = true (1, resu.x_cnt(2));
dummy = A.x_over{2} & B.x_over{2};
for indj = (1:resu.x_cnt(2))
if (dummy(indj))
indk = strmatch (resu.x_name{2}(indj), B.x_name{2}, 'exact');
if (~isempty (indk)),
indk = indk(1);
if (~strcmp (resu.x_type{indj}, B.x_type{indk})),
error('Trying to mix columns of different types');
end
end
else
indk = indj;
end
if (all ([isnumeric(resu.x_data{indj}) isnumeric(B.x_data{indk})])),
%# iterate over the columns of resu and B
op1 = resu.x_data{indj}; op2 = B.x_data{indk};
for ind2 = (1:columns (op2))
indr = false;
for ind1 = (1:columns (op1))
if (all (abs (op1(:, ind1) - op2(:, ind2)) <= eps)),
resu.x_rep{indj} = [resu.x_rep{indj} ind1];
indr = true;
break;
end
end
if (~indr),
%# pad in the second dim
resu.x_data{indj} = [resu.x_data{indj}, B.x_data{indk}];
resu.x_rep{indj} = [resu.x_rep{indj} 1+length(resu.x_rep{indj})];
end
end
else
resu.x_data{indj} = [resu.x_data{indj} B.x_data{indk}];
resu.x_rep{indj} = [resu.x_rep{indj} 1+length(resu.x_rep({indj}))];
end
indA(indj) = false; indB(indk) = false;
end
if (any (indA) || any (indB))
error ('Different number/names of columns in dataframe');
end
end
resu = df_thirddim (resu);
otherwise
error ('Incorrect call to cat');
end
%# disp ('End of cat'); keyboard
end
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