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function resu = df_allmeta(df, dim = [])
%# function resu = df_allmeta(df, dim = [])
%# Returns a new dataframe, initalised with the all the
%# meta-information but with empty 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 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/>.
resu = dataframe ();
if (isempty (dim))
dim = df.x_cnt(1:2);
else
dim = dim(1:2); %# ignore third dim, if any
end
%# this is unnecessary: if passed a dim, just use it.
%# resu.x_cnt(1:2) = min (dim, df.x_cnt(1:2));
resu.x_cnt(1:2) = dim;
if (~isempty (df.x_name{1}))
if (df.x_cnt(1) >= resu.x_cnt(1))
resu.x_name{1} = df.x_name{1}(1:resu.x_cnt(1));
resu.x_over{1} = df.x_over{1}(1:resu.x_cnt(1));
else
dummy = floor (resu.x_cnt(1) / df.x_cnt(1));
resu.x_name{1} = repmat (df.x_name{1}(1:df.x_cnt(1)), 1, dummy);
resu.x_over{1} = repmat (df.x_over{1}(1:df.x_cnt(1)), 1, dummy);
if (length (resu.x_name{1}) != dim(1))
if (~isempty (other))
if (isa (other, 'dataframe'))
if (length (other.x_name{1}) >= dim(1))
resu.x_name{1} = other.x_name{1}(1:resu.x_cnt(1));
resu.x_over{1} = other.x_over{1}(1:resu.x_cnt(1));
end
end
end
end
end
end
if (~isempty (df.x_name{2}))
if (df.x_cnt(2) >= resu.x_cnt(2))
resu.x_name{2} = df.x_name{2}(1:resu.x_cnt(2));
resu.x_over{2} = df.x_over{2}(1:resu.x_cnt(2));
else
dummy = floor (resu.x_cnt(2) / df.x_cnt(2));
resu.x_name{2} = repmat (df.x_name{2}(1:df.x_cnt(2)), 1, dummy);
resu.x_over{2} = repmat (df.x_over{2}(1:df.x_cnt(2)), 1, dummy);
if (length (resu.x_name{2}) != dim(2))
dummy = repmat ('X', resu.x_cnt(2), 1);
dummy = cstrcat (dummy, strjust (num2str ((1:resu.x_cnt(2))(:)), 'left'));
resu.x_name{2} = cellstr (dummy);
resu.x_over{2} = true (ones (resu.x_cnt(2), 1));
end
end
end
if (~isempty (df.x_ridx))
if (size (df.x_ridx, 2) >= resu.x_cnt(2)),
resu.x_ridx = df.x_ridx(1:resu.x_cnt(1), :, :);
else
resu.x_ridx = df.x_ridx(1:resu.x_cnt(1), 1, :);
end
end
%# init it with the right orientation
resu.x_data = cell (size (df.x_data, 1), min (dim(2), size (df.x_data, 2)));
resu.x_rep = cell (size (resu.x_data));
%# type 'char' must get through
resu.x_type = cellstr (repmat ('unknown', resu.x_cnt(2), 1)).';
if (df.x_cnt(2) >= resu.x_cnt(2))
for indi = (1:resu.x_cnt(2))
switch df.x_type{indi}
case 'char'
resu.x_type{indi} = 'char';
end
end
else
for indi = (1:df.x_cnt(2))
switch df.x_type{indi}
case 'char'
resu.x_type = cellstr (repmat ('char', resu.x_cnt(2), 1)).';
end
end
end
resu.x_src = df.x_src;
resu.x_cmt = df.x_cmt;
end
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