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function resu = df_func(func, A, B, itercol=true, whole=logical([0 0]));
%# function resu = df_func(func, A, B, whole)
%# Implements an iterator to apply some func when at
%# least one argument is a dataframe. The output is a dataframe with
%# the same metadata, types may be altered, like f.i. double=>logical.
%# When itercol is 'true', the default, LHS is iterated by columns,
%# otherwise by rows. 'Whole' is a two-elements logical vector with
%# the meaning that LHS and or RHS must be iterated at once or not
%% 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 2, 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/>.
[A, B, resu] = df_basecomp (A, B, itercol, func);
itercol = itercol(1); %# drop second value
if (isa (B, 'dataframe'))
if (~isa (A, 'dataframe')),
if (isscalar (A)),
for indi = (resu.x_cnt(2):-1:1)
switch resu.x_type{indi}
case 'char'
resu.x_data{indi} = feval (func, A, char (B.x_data{indi}));
otherwise
resu.x_data{indi} = feval (func, A, B.x_data{indi});
end
end
resu.x_rep = B.x_rep;
else
if (whole(1) && ~whole(2))
for indi = (resu.x_cnt(2):-1:1)
switch resu.x_type{indi}
case 'char'
resu.x_data{indi} = feval (func, A, ...
char (B.x_data{indi}(:, B.x_rep{indi})));
otherwise
resu.x_data{indi} = feval (func, A, ...
B.x_data{indi}(:, B.x_rep{indi}));
end
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
end
elseif (itercol && ~whole(2)),
for indi = (resu.x_cnt(2):-1:1)
switch resu.x_type{indi}
case 'char'
resu.x_data{indi} = feval (func, squeeze (A(:, indi, :)), ...
char (B.x_data{indi}(:, B.x_rep{indi})));
otherwise
resu.x_data{indi} = feval (func, squeeze (A(:, indi, :)), ...
B.x_data{indi}(:, B.x_rep{indi}));
end
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
end
elseif (~whole(2)),
warning ('no 3D yet');
for indi = (resu.x_cnt(2):-1:1)
switch resu.x_type{indi}
case 'char'
resu.x_data{indi} = feval (func, A(indi, :), char (B.x_data{indi}));
otherwise
resu.x_data{indi} = feval (func, A(indi, :), B.x_data{indi});
end
end
else
dummy = feval (func, A, df_whole (B));
for indi = (resu.x_cnt(2):-1:1) %# store column-wise
resu.x_data{indi} = squeeze (dummy(:, indi, :));
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
resu.x_type{indi} = class (dummy);
end
end
end
else
if (itercol)
for indi = (resu.x_cnt(2):-1:1)
switch resu.x_type{indi}
case 'char'
resu.x_data{indi} = feval ...
(func, char (A.x_data{indi}(:, A.x_rep{indi})), ...
char (B.x_data{indi}(B.x_rep{indi})));
otherwise
resu.x_data{indi} = feval ...
(func, A.x_data{indi}(:, A.x_rep{indi}), ...
B.x_data{indi}(:, B.x_rep{indi}));
end
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
end
else %# itercol is false
dummy = df_whole(A);
if (whole(1))
for indi = (resu.x_cnt(2):-1:1)
switch resu.x_type{indi}
case 'char'
resu.x_data{indi} = feval (func, dummy, ...
char (B.x_data{indi}(:, B.x_rep{indi})));
otherwise
resu.x_data{indi} = feval (func, dummy, ...
B.x_data{indi}(:, B.x_rep{indi}));
end
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
end
elseif (~whole(2))
for indi = (resu.x_cnt(2):-1:1)
switch resu.x_type{indi}
case 'char'
resu.x_data{indi} = squeeze ...
(feval (func, dummy(indi, :, :),...
char (B.x_data{indi}(:, B.x_rep{indi}))));
otherwise
resu.x_data{indi} = squeeze ...
(feval (func, dummy(indi, :, :), ...
B.x_data{indi}(:, B.x_rep{indi})));
end
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
end
else
dummy = feval (func, dummy, df_whole(B));
for indi = (resu.x_cnt(2):-1:1) %# store column-wise
resu.x_data{indi} = squeeze (dummy(:, indi, :));
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
resu.x_type{indi} = class (dummy);
end
end
end
end
else %# B is not a dataframe
if (isscalar (B))
for indi = (resu.x_cnt(2):-1:1)
switch resu.x_type{indi}
case 'char'
resu.x_data{indi} = feval (func, char (A.x_data{indi}), B);
otherwise
resu.x_data{indi} = feval (func, A.x_data{indi}, B);
end
end
resu.x_rep = A.x_rep;
else
if (itercol)
if (whole(2))
for indi = (resu.x_cnt(2):-1:1)
switch resu.x_type{indi}
case 'char'
unfolded = char (A.x_data{indi}(:, A.x_rep{indi}));
otherwise
unfolded = A.x_data{indi}(:, A.x_rep{indi});
end
resu.x_data{indi} = squeeze (feval (func, unfolded, B));
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
end
else
for indi = (resu.x_cnt(2):-1:1)
switch resu.x_type{indi}
case 'char'
unfolded = char (A.x_data{indi}(:, A.x_rep{indi}));
otherwise
unfolded = A.x_data{indi}(:, A.x_rep{indi});
end
resu.x_data{indi} = feval (func, unfolded, ...
squeeze (B(:, indi, :)));
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
end
end
else
dummy = df_whole(A);
if (whole(1))
for indi = (columns (B):-1:1)
resu.x_data{indi} = squeeze (feval(func, dummy, B(:, indi, :)));
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
end
else
if (~whole(2))
for indi = (resu.x_cnt(1):-1:1)
resu.x_data{indi} = squeeze (feval (func, dummy(indi, :, :), ...
B(:, indi, :)));
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
end
else
for indi = (resu.x_cnt(1):-1:1) %# in place computation
dummy(indi, :, :) = feval (func, dummy(indi, :, :), B);
end
for indi = (resu.x_cnt(2):-1:1) %# store column-wise
resu.x_data{indi} = squeeze (dummy(:, indi, :));
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
end
end
end
%# verify that sizes match, this is required for '\'
resu.x_cnt(2) = length (resu.x_data);
resu.x_cnt(1) = max (cellfun ('size', resu.x_data, 1));
if (length (resu.x_ridx) < resu.x_cnt(1)),
if (1 == length (resu.x_ridx))
resu.x_ridx(end+1:resu.x_cnt(1), 1) = resu.x_ridx(1);
else
resu.x_ridx(end+1:resu.x_cnt(1), 1) = NA;
end
end
if (length (resu.x_name{2}) < resu.x_cnt(2)),
if (1 == length (resu.x_name{2})),
resu.x_name{2}(end+1:resu.x_cnt(2), 1) = resu.x_name{2};
resu.x_over{2}(end+1:resu.x_cnt(2), 1) = resu.x_over{2};
else
resu.x_name{2}(end+1:resu.x_cnt(2), 1) = '_';
resu.x_over{2}(end+1:resu.x_cnt(2), 1) = true;
end
end
end
end
end
resu.x_type = cellfun (@class, resu.x_data, 'UniformOutput', false);
resu = df_thirddim (resu);
end
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