dataframe-1.1.0/COPYING 0000644 0000000 0000000 00000104513 12427233641 012626 0 ustar 0000000 0000000 GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
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END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
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Copyright (C)
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This program is distributed in the hope that it will be useful,
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You should have received a copy of the GNU General Public License
along with this program. If not, see .
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
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Copyright (C)
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
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You should also get your employer (if you work as a programmer) or school,
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For more information on this, and how to apply and follow the GNU GPL, see
.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
.
dataframe-1.1.0/DESCRIPTION 0000644 0000000 0000000 00000000447 12427233641 013302 0 ustar 0000000 0000000 Name: dataframe
Version: 1.1.0
Date: 2014-11-06
Author: Pascal Dupuis
Maintainer: The Octave Community
Title: Data Frame
Description: Data manipulation toolbox similar to R data.frame
Categories: data manipulation, statistics
Depends: octave (>= 3.4.0)
License: GPLv3+
Url: http://octave.sf.net
dataframe-1.1.0/INDEX 0000644 0000000 0000000 00000001002 12427233641 012352 0 ustar 0000000 0000000 dataframe >> Data manipulation toolbox similar to R data.frame
Dataframe
@dataframe/bsxfun
@dataframe/cat
@dataframe/dataframe
@dataframe/display
@dataframe/end
@dataframe/fold
@dataframe/isempty
@dataframe/ldivide
@dataframe/minus
@dataframe/mldivide
@dataframe/mrdivide
@dataframe/mtimes
@dataframe/numel
@dataframe/nth_element
@dataframe/plus
@dataframe/rdivide
@dataframe/size
@dataframe/subsasgn
@dataframe/subsref
@dataframe/summary
@dataframe/times
@dataframe/uminus
@dataframe/uplus
dataframe-1.1.0/NEWS 0000644 0000000 0000000 00000001535 12427233641 012272 0 ustar 0000000 0000000 Summary of important user-visible changes for dataframe 1.1:
-------------------------------------------------------------------
** dataframe 1.1.0 is a major update. As it introduces new functions, if
dataframe-1.0.1 was previously loaded, Octave has to be restarted.
Significants changes:
- the structure of "row empty", i.e. dataframes with [0, n] size,
is fully displayed
- the "_src" metadata is now correctly set
- new function: nth_element, make it compatible with median. Note
that only row-median and page median are implemented, using directly
the underlying data structures
- new function; numel. Only the one argument form is supported.
- bsxfun now better handles array as first arguement
- vector vs matrix plot are now supported, provided both data set possess
the same colum length.
dataframe-1.1.0/inst/@dataframe/abs.m 0000644 0000000 0000000 00000001711 12427233641 015513 0 ustar 0000000 0000000 function resu = abs(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@abs, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/acos.m 0000644 0000000 0000000 00000001713 12427233641 015675 0 ustar 0000000 0000000 function resu = acos(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@acos, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/acosh.m 0000644 0000000 0000000 00000001715 12427233641 016047 0 ustar 0000000 0000000 function resu = acosh(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@acosh, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/and.m 0000644 0000000 0000000 00000002042 12427233641 015506 0 ustar 0000000 0000000 function resu = and(A, B);
%# function resu = and(A, B)
%# Implements the '&' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_func(@and, A, B);
endfunction
dataframe-1.1.0/inst/@dataframe/angle.m 0000644 0000000 0000000 00000001715 12427233641 016040 0 ustar 0000000 0000000 function resu = angle(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@angle, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/arg.m 0000644 0000000 0000000 00000001711 12427233641 015517 0 ustar 0000000 0000000 function resu = arg(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@arg, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/asin.m 0000644 0000000 0000000 00000001713 12427233641 015702 0 ustar 0000000 0000000 function resu = asin(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@asin, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/asinh.m 0000644 0000000 0000000 00000001715 12427233641 016054 0 ustar 0000000 0000000 function resu = asinh(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@asinh, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/atan.m 0000644 0000000 0000000 00000001713 12427233641 015673 0 ustar 0000000 0000000 function resu = atan(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@atan, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/atanh.m 0000644 0000000 0000000 00000001715 12427233641 016045 0 ustar 0000000 0000000 function resu = atanh(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@atanh, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/bsxfun.m 0000644 0000000 0000000 00000002755 12427233641 016264 0 ustar 0000000 0000000 function resu = bsxfun(func, A, B)
%# function resu = bsxfun(func, A, B)
%# Implements a wrapper around internal bsxfun
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
try
[A, B, resu] = df_basecomp(A, B, true, @bsxfun);
for indi = 1:max(A._cnt(2), B._cnt(2)),
indA = min(indi, A._cnt(2));
indB = min(indi, B._cnt(2));
Au = A._data{indA}(:, A._rep{indA});
Bu = B._data{indB}(:, B._rep{indB});
resu._data{indi} = bsxfun(func, Au, Bu);
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
resu = df_thirddim(resu);
catch
disp(lasterr());
error('bsxfun: non-compatible dimensions')
end_try_catch
endfunction
dataframe-1.1.0/inst/@dataframe/cat.m 0000644 0000000 0000000 00000016157 12427233641 015527 0 ustar 0000000 0000000 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) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (~isa (A, 'dataframe')),
A = dataframe (A);
endif
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));
endif
endif
if (resu._cnt(2) ~= B._cnt(2))
error ('Different number of columns in dataframes');
endif
%# do not duplicate empty names
if (~isempty (resu._name{1}) || ~isempty (B._name{1}))
if (length (resu._name{1}) < resu._cnt(1))
resu._name{1}(end+1:resu._cnt(1), 1) = {''};
endif
if (length (B._name{1}) < B._cnt(1))
B._name{1}(end+1:B._cnt(1), 1) = {''};
endif
resu._name{1} = vertcat (resu._name{1}(:), B._name{1}(:));
resu._over{1} = [resu._over{1} B._over{1}];
endif
resu._cnt(1) = resu._cnt(1) + B._cnt(1);
if (size (resu._ridx, 2) < size (B._ridx, 2))
resu._ridx(:, end+1:size(B._ridx, 2)) = NA;
elseif (size (resu._ridx, 2) > size (B._ridx, 2))
B._ridx(:, end+1:size(resu._ridx, 2)) = NA;
endif
resu._ridx = [resu._ridx; B._ridx];
%# find data with same column names
dummy = A._over{2} & B._over{2};
indA = true (1, resu._cnt(2));
indB = true (1, resu._cnt(2));
for indj = (1:resu._cnt(2))
if (dummy(indj))
indk = strmatch (resu._name{2}(indj), B._name{2}, 'exact');
if (~isempty (indk))
indk = indk(1);
if (~strcmp (resu._type{indj}, B._type{indk}))
error ("Trying to mix columns of different types");
endif
endif
else
indk = indj;
endif
resu._data{indj} = [resu._data{indj}; B._data{indk}];
indA(indj) = false; indB(indk) = false;
endfor
if (any (indA) || any (indB))
error ('Different number/names of columns in dataframe');
endif
endfor
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));
endif
B._ridx = resu._ridx; %# make them compatibles
endif
if (resu._cnt(1) ~= B._cnt(1))
error ('Different number of rows in dataframes');
endif
if (any(resu._ridx(:) - B._ridx(:)))
error ('dataframes row indexes not matched');
endif
resu._name{2} = vertcat (resu._name{2}, B._name{2});
resu._over{2} = [resu._over{2} B._over{2}];
resu._data(resu._cnt(2)+(1:B._cnt(2))) = B._data;
resu._type(resu._cnt(2)+(1:B._cnt(2))) = B._type;
resu._cnt(2) = resu._cnt(2) + B._cnt(2);
endfor
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));
endif
endif
if (resu._cnt(1) ~= B._cnt(1))
error ('Different number of rows in dataframes');
endif
if (resu._cnt(2) ~= B._cnt(2)),
error ('Different number of columns in dataframes');
endif
%# 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._ridx, 2) < size(B._ridx, 2))
resu._ridx(:, end+1:size(B._ridx, 2)) = NA;
elseif (size(resu._ridx, 2) > size(B._ridx, 2))
B._ridx(:, end+1:size(resu._ridx, 2)) = NA;
endif
resu._ridx = cat (3, resu._ridx, B._ridx);
%# find data with same column names
indA = true (1, resu._cnt(2));
indB = true (1, resu._cnt(2));
dummy = A._over{2} & B._over{2};
for indj = (1:resu._cnt(2))
if (dummy(indj))
indk = strmatch (resu._name{2}(indj), B._name{2}, 'exact');
if (~isempty (indk)),
indk = indk(1);
if (~strcmp (resu._type{indj}, B._type{indk})),
error("Trying to mix columns of different types");
endif
endif
else
indk = indj;
endif
if (all ([isnumeric(resu._data{indj}) isnumeric(B._data{indk})])),
%# iterate over the columns of resu and B
op1 = resu._data{indj}; op2 = B._data{indk};
for ind2 = (1:columns (op2))
indr = false;
for ind1 = (1:columns (op1))
if (all (abs (op1(:, ind1) - op2(:, ind2)) <= eps)),
resu._rep{indj} = [resu._rep{indj} ind1];
indr = true;
break;
endif
endfor
if (~indr),
%# pad in the second dim
resu._data{indj} = [resu._data{indj}, B._data{indk}];
resu._rep{indj} = [resu._rep{indj} 1+length(resu._rep{indj})];
endif
endfor
else
resu._data{indj} = [resu._data{indj} B._data{indk}];
resu._rep{indj} = [resu._rep{indj} 1+length(resu._rep({indj}))];
endif
indA(indj) = false; indB(indk) = false;
endfor
if (any (indA) || any (indB))
error ('Different number/names of columns in dataframe');
endif
endfor
resu = df_thirddim (resu);
otherwise
error ('Incorrect call to cat');
endswitch
%# disp('End of cat'); keyboard
endfunction
dataframe-1.1.0/inst/@dataframe/ceil.m 0000644 0000000 0000000 00000001713 12427233641 015664 0 ustar 0000000 0000000 function resu = ceil(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@ceil, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/columns.m 0000644 0000000 0000000 00000002001 12427233641 016417 0 ustar 0000000 0000000 function resu = columns(df)
%# function resu = columns(df)
%# returns the number of columns of a dataframe
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df._cnt(end);
endfunction
dataframe-1.1.0/inst/@dataframe/conj.m 0000644 0000000 0000000 00000001713 12427233641 015701 0 ustar 0000000 0000000 function resu = conj(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@conj, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/cos.m 0000644 0000000 0000000 00000001711 12427233641 015532 0 ustar 0000000 0000000 function resu = cos(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@cos, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/cosh.m 0000644 0000000 0000000 00000001713 12427233641 015704 0 ustar 0000000 0000000 function resu = cosh(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@cosh, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/cumprod.m 0000644 0000000 0000000 00000001721 12427233641 016420 0 ustar 0000000 0000000 function resu = cumprod(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@cumprod, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/cumsum.m 0000644 0000000 0000000 00000001717 12427233641 016265 0 ustar 0000000 0000000 function resu = cumsum(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@cumsum, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/dataframe.m 0000644 0000000 0000000 00000055300 12427233641 016675 0 ustar 0000000 0000000 function df = dataframe(x, varargin)
%# -*- texinfo -*-
%# @deftypefn {Function File} @var{df} = dataframe(@var{x = []}, ...)
%# This is the default constructor for a dataframe object, which is
%# similar to R 'data.frame'. It's a way to group tabular data, then
%# accessing them either as matrix or by column name.
%# Input argument x may be: @itemize
%# @item a dataframe => use @var{varargin} to pad it with suplemental
%# columns
%# @item a matrix => create column names from input name; each column
%# is used as an entry
%# @item a cell matrix => try to infer column names from the first row,
%# and row indexes and names from the two first columns;
%# @item a file name => import data into a dataframe;
%# @item a matrix of char => initialise colnames from them.
%# @item a two-element cell: use the first as column as column to
%# append to, and the second as initialiser for the column(s)
%# @end itemize
%# If called with an empty value, or with the default argument, it
%# returns an empty dataframe which can be further populated by
%# assignement, cat, ... If called without any argument, it should
%# return a dataframe from the whole workspace.
%# @*Variable input arguments are first parsed as pairs (options, values).
%# Recognised options are: @itemize
%# @item rownames : take the values as initialiser for row names
%# @item colnames : take the values as initialiser for column names
%# @item seeked : a (kept) field value which triggers start of processing.
%# @item trigger : a (unkept) field value which triggers start of processing.
%# @item datefmt: date format, see datestr help
%# Each preceeding line is silently skipped. Default: none
%# @item unquot: a logical switch telling wheter or not strings should
%# be unquoted before storage, default = true;
%# @item sep: the elements separator, default '\t,'
%# @item conv: some regexp to convert each field. This must be a
%# two-elements cell array containing regexprep() second (@var{PAT})
%# and third (@var{REPSTR}) arguments. In order to replace ',' by '.',
%# use "@{',', '.'@}". In this case, the default separator is adjusted to '\t;'
%# @end itemize
%# The remaining data are concatenated (right-appended) to the existing ones.
%# @end deftypefn
%% Copyright (C) 2009-2014 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (0 == nargin)
%# default constructor: create a scalar struct and initialise the
%# fields in the right order
df = struct ('_cnt', [0 0]);
%# do not call "struct" with the two next args: it would create an array
df._name = {cell(0, 1), cell(1, 0)}; %# rows - cols
df._over = cell (1, 2);
df._ridx = [];
df._data = cell (0, 0);
df._rep = cell (0, 0); %# a repetition index
df._type = cell (0, 0); %# the type of each column
df._src = cell (0, 0);
df._header = cell (0, 0);
df._cmt = cell (0, 0); %# to put comments
df = class (df, 'dataframe');
return
endif
if (isnull (x) && 1 == nargin)
disp ('FIXME -- should create a dataframe from the whole workspace')
df = dataframe (); %# just call the default constructor
return
endif
if (isa (x, 'dataframe'))
%# Try to append whatever data or metadata given through varargin
%# into this dataframe
df = x;
else
df = dataframe (); %# get the right fields
if (isa (x, 'struct'))
%# only accept a struct if it has the same fieldnames as a dataframe
dummy = fieldnames (x);
indi = fieldnames (df);
if (size (dummy, 1) ~= size (indi, 1))
error ('First argument of dataframe is a struct with the wrong number of fields');
endif
if (~all (cellfun (@strcmp, dummy, indi)))
error ('First argument of dataframe is a struct with wrong field names');
endif
%# easy way to transform a struct into a dataframe object
df = class (x, 'dataframe');
if (1 == nargin) return; endif
endif
endif
%# default values
seeked = ''; trigger = ''; unquot = true; default_sep = "\t,"; sep = "";
cmt_lines = []; conv_regexp = {}; datefmt = ''; verbose = false;
if (length (varargin) > 0) %# extract known arguments
indi = 1;
%# loop over possible arguments
while (indi <= size (varargin, 2))
if (isa (varargin{indi}, 'char'))
switch(varargin{indi})
case 'rownames'
switch class (varargin{indi+1})
case {'cell'}
df._name{1} = varargin{indi+1};
case {'char'}
df._name{1} = cellstr (varargin{indi+1});
otherwise
df._name{1} = cellstr (num2str (varargin{indi+1}));
endswitch
df._name{1} = genvarname (df._name{1});
df._over{1}(1, 1:length (df._name{1})) = false;
df._cnt(1) = size (df._name{1}, 1);
df._ridx = (1:df._cnt(1))';
varargin(indi:indi+1) = [];
case 'colnames'
switch class(varargin{indi+1})
case {'cell'}
df._name{2} = varargin{indi+1};
case {'char'}
df._name{2} = cellstr (varargin{indi+1});
otherwise
df._name{2} = cellstr (num2str (varargin{indi+1}));
endswitch
%# detect assignment - functions calls - ranges
dummy = cellfun ('size', cellfun (@(x) strsplit (x, ":=("), df._name{2}, ...
"UniformOutput", false), 2);
if (any (dummy > 1))
warning ('dataframe colnames taken literally and not interpreted');
endif
df._name{2} = genvarname (df._name{2});
df._over{2}(1, 1:length (df._name{2})) = false;
varargin(indi:indi+1) = [];
case 'seeked'
seeked = varargin{indi + 1};
varargin(indi:indi+1) = [];
case 'trigger'
trigger = varargin{indi + 1};
varargin(indi:indi+1) = [];
case 'unquot'
unquot = varargin{indi + 1};
varargin(indi:indi+1) = [];
case 'sep'
sep = varargin{indi + 1};
varargin(indi:indi+1) = [];
case 'conv'
conv_regexp = varargin{indi + 1};
varargin(indi:indi+1) = [];
case 'datefmt'
datefmt = varargin{indi + 1};
varargin(indi:indi+1) = [];
case 'verbose'
verbose = varargin{indi + 1};
varargin(indi:indi+1) = [];
case '--'
%# stop processing args -- take the rest as filenames
varargin(indi) = [];
break;
otherwise %# FIXME: just skip it for now
disp (sprintf ("Ignoring unkown argument %s", varargin{indi}));
indi = indi + 1;
endswitch
else
indi = indi + 1; %# skip it
endif
endwhile
endif
if (isempty (sep))
sep = default_sep;
if (~isempty (conv_regexp))
if (any (~cellfun (@isempty, (strfind (conv_regexp, ',')))))
sep = "\t;"; %# locales where ',' is used as decimal separator
endif
endif
endif
if (~isempty (datefmt))
%# replace consecutive spaces by one
datefmt = regexprep (datefmt, '[ ]+', ' ');
%# is "space" used as separator ? Then we may take more than one field.
if (~isempty (regexp (sep, ' ')))
datefields = 1 + length (regexp (datefmt, ' '));
else
datefields = 1;
endif
else
datefields = 1;
endif
if (~isempty (seeked) && ~isempty (trigger))
error ('seeked and trigger are mutuallly incompatible arguments');
endif
indi = 0;
while (indi <= size (varargin, 2))
indi = indi + 1;
if (~isa (x, 'dataframe'))
if (isa (x, 'char') && size (x, 1) < 2)
dummy = tilde_expand (x);
try
%# read the data frame from a file
df._src{end+1, 1} = dummy;
x = load (dummy);
catch
%# try our own method
UTF8_BOM = char ([0xEF 0xBB 0xBF]);
%# Is it compressed ?
cmd = []; count = regexpi (dummy, '\.gz');
if (length (dummy) - count == 2)
cmd = ['gzip -dc '];
else
count = regexpi (dummy, '\.bz2');
if (length (dummy) - count == 3)
cmd = ['bzip2 -dc '];
else
count = regexpi (dummy, '\.xz');
if (length (dummy) - count == 2)
cmd = ['xz -dc '];
else
count = regexpi (dummy, '\.zip');
if (length (dummy) - count == 3)
cmd = ['unzip -p '];
else
count = regexpi (dummy, '\.lzo');
if (length (dummy) - count == 3)
cmd = ['lzop -dc '];
endif
endif
endif
endif
endif
if (isempty (cmd)) %# direct read
[fid, msg] = fopen (dummy, 'rt');
else
%# The file we read from external process must be seekable !!!
tmpfile = tmpnam ();
%# quote to protect from spaces in the name
dummy = strcat ('''', dummy, '''');
cmd = [cmd, dummy, ' > ', tmpfile];
if (exist ('OCTAVE_VERSION', 'builtin'))
[output, status] = system (cmd);
else
[status, output] = system (cmd);
endif
if (not (0 == status))
disp (sprintf ("%s exited with status %d", cmd, status));
endif
fid = fopen (tmpfile, 'rt');
if (exist ('OCTAVE_VERSION', 'builtin'))
[cmd, status] = unlink (tmpfile);
else
delete (tmpfile)
endif
endif
unwind_protect
in = [];
if (fid ~= -1)
dummy = fgetl (fid);
if (-1 == dummy)
x = []; %# file is valid but empty
else
if (~strcmp (dummy, UTF8_BOM))
frewind (fid);
endif
%# slurp everything and convert doubles to char, avoiding
%# problems with char > 127
in = char (fread (fid).');
endif
endif
unwind_protect_cleanup
if (fid ~= -1) fclose (fid); endif
end_unwind_protect
if (~isempty (in))
%# explicit list taken from 'man pcrepattern' -- we enclose all
%# vertical separators in case the underlying regexp engine
%# doesn't have them all.
eol = '(\r\n|\n|\v|\f|\r|\x85)';
%# cut into lines -- include the EOL to have a one-to-one
%# matching between line numbers. Use a non-greedy match.
lines = regexp (in, ['.*?' eol], 'match');
%# spare memory
clear in;
try
dummy = cellfun (@(x) regexp (x, eol), lines);
catch
disp('line 245 -- binary garbage in the input file ? '); keyboard
end
%# remove the EOL character(s)
lines(1 == dummy) = {""};
%# use a positive lookahead -- eol is not part of the match
lines(dummy > 1) = cellfun (@(x) regexp (x, ['.*?(?=' eol ')'], ...
'match'), lines(dummy > 1));
%# a field either starts at a word boundary, either by + - . for
%# a numeric data, either by ' for a string.
%# content = cellfun(@(x) regexp(x, '(\b|[-+\.''])[^,]*(''|\b)', 'match'),\
%# lines, 'UniformOutput', false); %# extract fields
if (strfind (sep, ' '))
content = cellfun (@(x) strsplit (x, sep, true), lines, ...
'UniformOutput', false); %# extract fields
else
content = cellfun (@(x) strsplit (x, sep), lines, ...
'UniformOutput', false); %# extract fields
endif
%# spare memory
clear lines;
indl = 1; indj = 1; dummy = [];
if (~isempty (seeked))
while (indl <= length (content))
dummy = content{indl};
if (all (cellfun ('size', dummy, 2) == 0))
indl = indl + 1;
continue;
endif
if (all (cellfun (@isempty, regexp (dummy, seeked, 'match'))))
if (isempty (df._header))
df._header = dummy;
else
df._header(end+1, 1:length (dummy)) = dummy;
endif
indl = indl + 1;
continue;
endif
break;
endwhile
elseif (~isempty (trigger))
while (indl <= length (content))
dummy = content{indl};
indl = indl + 1;
if (all (cellfun ('size', dummy, 2) == 0))
continue;
endif
if (isempty (df._header))
df._header = dummy;
else
df._header(end+1, 1:length (dummy)) = dummy;
endif
if (all (cellfun (@isempty, regexp (dummy, trigger, 'match'))))
continue;
endif
break;
endwhile
else
dummy = content{1}; %# rough guess
endif
if (indl > length (content))
x = [];
else
x = cell (1+length (content)-indl, size (dummy, 2));
empty_lines = []; cmt_lines = [];
while (indl <= length (content))
dummy = content{indl};
if (all (cellfun ('size', dummy, 2) == 0))
empty_lines = [empty_lines indj];
indl = indl + 1; indj = indj + 1;
continue;
endif
%# does it looks like a comment line ?
if (regexp (dummy{1}, ['^\s*' char(35)]))
empty_lines = [empty_lines indj];
cmt_lines = strvcat (cmt_lines, horzcat (dummy{:}));
indl = indl + 1; indj = indj + 1;
continue;
endif
if (all (cellfun (@isempty, regexp (dummy, trigger, 'match'))))
%# it does not look like the trigger. Good.
%# try to convert to float
if (~ isempty(conv_regexp))
dummy = regexprep (dummy, conv_regexp{});
endif
the_line = cellfun (@(x) sscanf (x, "%f"), dummy, ...
'UniformOutput', false);
indk = 1; indm = 1;
while (indk <= size (the_line, 2))
if (isempty (the_line{indk}) || any (size (the_line{indk}) > 1))
%#if indi > 1 && indk > 1, disp('line 117 '); keyboard; %#endif
if (isempty (dummy {indk}))
%# empty field, just don't care
indk = indk + 1; indm = indm + 1;
continue;
endif
if (unquot)
try
%# remove quotes and leading space(s)
x(indj, indm) = regexp (dummy{indk}, '[^''" ].*[^''"]', 'match'){1};
catch
%# if the previous test fails, try a simpler one
in = regexp (dummy{indk}, '[^'' ]+', 'match');
if (~isempty (in))
x(indj, indm) = in{1};
%# else
%# x(indj, indk) = [];
endif
end_try_catch
else
%# no conversion possible, store and remove leading space(s)
x(indj, indm) = regexp (dummy{indk}, '[^ ].*', 'match');
endif
elseif (~isempty (regexp (dummy{indk}, '[/:-]')) && ...
~isempty (datefmt))
%# does it look like a date ?
datetime = dummy{indk};
if (datefields > 1)
%# concatenate the required number of fields
indc = 1;
for indc = (2:datefields)
datetime = cstrcat(datetime, ' ', dummy{indk+indc-1});
endfor
else
%# ensure spaces are unique
datetime = regexprep (datetime, '[ ]+', ' ');
endif
try
datetime = datevec (datetime, datefmt);
timeval = struct ("usec", 0, "sec", floor (datetime (6)),
"min", datetime(5), "hour", datetime(4),
"mday", datetime(3), "mon", datetime(2)-1,
"year", datetime(1)-1900);
timeval.usec = 1e6*(datetime(6) - timeval.sec);
x(indj, indm) = str2num (strftime ([char(37) 's'], timeval)) + ...
timeval.usec * 1e-6;
if (datefields > 1)
%# skip fields successfully converted
indk = indk + (datefields - 1);
endif
catch
%# store it as is
x(indj, indm) = the_line{indk};
end_try_catch
else
x(indj, indm) = the_line{indk};
endif
indk = indk + 1; indm = indm + 1;
endwhile
indl = indl + 1; indj = indj + 1;
else
%# trigger seen again. Throw last value and abort processing.
x(end, :) = [];
fprintf (2, "Trigger seen a second time, stopping processing\n");
break
end
endwhile
if (~isempty (empty_lines))
x(empty_lines, :) = [];
endif
%# detect empty columns
empty_lines = find (0 == sum (cellfun ('size', x, 2)));
if (~isempty (empty_lines))
x(:, empty_lines) = [];
endif
endif
clear UTF8_BOM fid indl the_line content empty_lines
clear datetime timeval idx count tmpfile cmd output status
endif
end_try_catch
endif
%# fallback, avoiding a recursive call
idx.type = '()'; indj = [];
if (~isa (x, 'char')) %# x may be a cell array, a simple matrix, ...
indj = df._cnt(2)+(1:size (x, 2));
else
%# at this point, reading some filename failed
error ("dataframe: can't open '%s' for reading data", x);
endif;
if (iscell (x)) %# x was filled with fields read from the CSV
if (and (isvector (x), 2 == length (x)))
%# use the intermediate value as destination column
[indc, ncol] = df_name2idx (df._name{2}, x{1}, df._cnt(2), "column");
if (ncol ~= 1)
error (["With two-elements cell, the first should resolve " ...
"to a single column"]);
endif
try
dummy = cellfun (@class, x{2}(2, :), 'UniformOutput', false);
catch
dummy = cellfun (@class, x{2}(1, :), 'UniformOutput', false);
end_try_catch
df = df_pad (df, 2, [length(dummy) indc], dummy);
x = x{2};
indj = indc + (1:size (x, 2)); %# redefine target range
elseif (isa (x{1}, 'cell'))
x = x{1}; %# remove one cell level
endif
if (length (df._name{2}) < indj(1) || isempty (df._name{2}(indj)))
[df._name{2}(indj, 1), df._over{2}(1, indj)] ...
= df_colnames (inputname(indi), indj);
df._name{2} = genvarname (df._name{2});
endif
%# allow overwriting of column names
df._over{2}(1, indj) = true;
elseif (~isempty (indj))
%# x is an array, generates fieldnames from names given as args
if (1 == length (df._name{2}) && length (df._name{2}) < ...
length (indj))
[df._name{2}(indj, 1), df._over{2}(1, indj)] ...
= df_colnames (char (df._name{2}), indj);
elseif (length (df._name{2}) < indj(1) || isempty (df._name{2}(indj)))
[df._name{2}(indj, 1), df._over{2}(1, indj)] ...
= df_colnames (inputname(indi), indj);
endif
df._name{2} = genvarname (df._name{2});
endif
if (~isempty (indj))
%# the exact row size will be determined latter
idx.subs = {'', indj};
%# use direct assignement
if (ndims (x) > 2), idx.subs{3} = 1:size (x, 3); endif
%# df = subsasgn(df, idx, x); <= call directly lower level
try
if (verbose)
printf ("Calling df_matassign, orig size: %s\n", disp (size (df)));
printf ("size(x): %s\n", disp (size (x)));
endif
df = df_matassign (df, idx, indj, length (indj), x, trigger);
catch
disp ('line 443 '); keyboard
end_try_catch
if (~isempty (cmt_lines))
df._cmt = vertcat (df._cmt, cellstr (cmt_lines));
cmt_lines = [];
endif
else
df._cnt(2) = length (df._name{2});
endif
elseif (indi > 1)
error ('Concatenating dataframes: use cat instead');
endif
try
%# loop over next variable argument
x = varargin{1, indi};
catch
%# disp('line 197 ???');
end_try_catch
endwhile
endfunction
function [x, y] = df_colnames(base, num)
%# small auxiliary function to generate column names. This is required
%# here, as only the constructor can use inputname()
if (any ([index(base, "=")]))
%# takes the left part as base
x = strsplit (base, "=");
x = deblank (x{1});
if (isvarname (x))
y = false;
else
x = 'X'; y = true;
endif
else
%# is base most probably a filename ?
x = regexp (base, '''[^''].*[^'']''', 'match');
if (isempty (x))
if (isvarname (base))
x = base; y = false;
else
x = 'X'; y = true; %# this is a default value, may be changed
endif
else
x = x{1}; y = true;
endif
endif
if (numel (num) > 1)
x = repmat (x, numel (num), 1);
x = cstrcat (x, strjust (num2str (num(:)), 'left'));
y = repmat (y, 1, numel (num));
endif
x = cellstr (x);
endfunction
dataframe-1.1.0/inst/@dataframe/display.m 0000644 0000000 0000000 00000017226 12427233641 016423 0 ustar 0000000 0000000 function resu = display(df)
%# function resu = display(df)
%# Tries to produce a nicely formatted output of a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
%# generate header name
dummy = inputname (1);
if (isempty (dummy))
dummy = "ans";
endif
if (2 == length (df._cnt))
head = sprintf ("%s = dataframe with %d rows and %d columns", ...
dummy, df._cnt);
else
head = sprintf ("%s = dataframe with %d rows and %d columns on %d pages", ...
dummy, df._cnt);
endif
if (~isempty (df._src))
for indi = (1:size (df._src, 1))
head = strvcat...
(head, [repmat("Src: ", size (df._src{indi, 1}, 1), 1)...
df._src{indi, 1}]);
endfor
endif
if (~isempty (df._cmt))
for indi = (1:size(df._cmt, 1))
head = strvcat...
(head, [repmat("Comment: ", size (df._cmt{indi, 1}, 1), 1)...
df._cmt{indi, 1}]);
endfor
endif
if (any (df._cnt > 0)) %# stop for empty df
dummy = []; vspace = repmat (' ', max (1, df._cnt(1)), 1);
indi = 1; %# the real, unfolded index
%# loop over columns where the corresponding _data really exists
for indc = (1:min (df._cnt(2), size (df._data, 2)))
%# emit column names and type
if (1 == length (df._rep{indc}))
dummy{1, 2+indi} = deblank (disp (df._name{2}{indc}));
dummy{2, 2+indi} = deblank (df._type{indc});
else
%# append a dot and the third-dimension index to column name
tmp_str = [deblank(disp (df._name{2}{indc})) "."];
tmp_str = arrayfun (@(x) horzcat (tmp_str, num2str(x)), ...
(1:length (df._rep{indc})), 'UniformOutput', false);
dummy{1, 2+indi} = tmp_str{1};
dummy{2, 2+indi} = deblank (df._type{indc});
for indk = (2:length (tmp_str))
dummy{1, 1+indi+indk} = tmp_str{indk};
dummy{2, 1+indi+indk} = dummy{2, 2+indi};
endfor
endif
%# "print" each column
switch df._type{indc}
case {'char'}
indk = 1; while (indk <= size (df._data{indc}, 2))
tmp_str = df._data{indc}(:, indk); %#get the whole column
indj = cellfun ('isprint', tmp_str, 'UniformOutput', false);
indj = ~cellfun ('all', indj);
for indr = (1:length (indj))
if (indj(indr)),
if (isna (tmp_str{indr})),
tmp_str{indr} = "NA";
else
if (~ischar (tmp_str{indr}))
tmp_str{indr} = char (tmp_str{indr});
endif
tmp_str{indr} = undo_string_escapes (tmp_str{indr});
endif
endif
endfor
%# keep the whole thing, and add a vertical space
dummy{3, 2+indi} = disp (char (tmp_str));
dummy{3, 2+indi} = horzcat...
(vspace, char (regexp (dummy{3, 2+indi}, '.*', ...
'match', 'dotexceptnewline')));
indi = indi + 1; indk = indk + 1;
endwhile
otherwise
%# keep only one horizontal space per line
unfolded = df._data{indc}(:, df._rep{indc});
indk = 1; while (indk <= size (unfolded, 2))
dummy{3, 2+indi} = disp (unfolded(:, indk));
tmp_str = char (regexp (dummy{3, 2+indi}, ...
'[-+]?[0-9]*\.?[0-9]+([eE][-+]?[0-9]+)?(\s??[-+]\s??[0-9]*\.?[0-9]+([eE][-+]?[0-9]+)?i)?', ...
'match', 'dotexceptnewline'));
tmp_str = horzcat...
(vspace, char (regexp (dummy{3, 2+indi}, '\S.*', ...
'match', 'dotexceptnewline')));
dummy{3, 2+indi} = tmp_str;
indi = indi + 1; indk = indk + 1;
endwhile
endswitch
endfor
%# put everything together
vspace = [' '; ' '; vspace];
%# second line content
resu = [];
for (ind1 = 1:size (df._ridx, 2))
%# simple case: no column-compressed data
if ((1 == size(df._ridx, 3)) && ...
(any (~isna (df._ridx(1:df._cnt(1), ind1)))) || ...
(any (isempty (df._ridx(1:df._cnt(1), ind1)))))
dummy{2, 1} = [sprintf("_%d", ind1) ; "Nr"];
dummy{3, 1} = disp (df._ridx(1:df._cnt(1), ind1));
%# re-format disp output over many lines, trimming extra spaces
indi = regexp (dummy{3, 1}, '\S.*', 'match', 'dotexceptnewline');
%# was
%# indi = regexp (dummy{3, 1}, '\b.*\b', 'match', 'dotexceptnewline');
if (isempty (resu))
resu = strjust (char (dummy{2, 1}, indi), 'right');
else
resu = horzcat(resu, vspace, strjust (char (dummy{2, 1}, indi), ...
'right'), vspace);
endif
else
%# column-compressed data
for ind2 = (1:size (df._ridx, 3))
if ((any (~isna (df._ridx(1:df._cnt(1), ind1, ind2)))) || ...
(any (isempty (df._ridx(1:df._cnt(1), ind1, ind2)))))
dummy{2, 1} = [sprintf("_%d.%d", ind1, ind2) ; "Nr"];
dummy{3, 1} = disp (df._ridx(1:df._cnt(1), ind1, ind2));
indi = regexp (dummy{3, 1}, '\S.*', 'match', ...
'dotexceptnewline');
if (isempty (resu))
resu = strjust (char (dummy{2, 1}, indi), 'right');
else
resu = horzcat (resu, vspace, strjust (char(dummy{2, 1}, indi), ...
'right'), vspace);
endif
endif
endfor
endif
endfor
%# emit row names
if (isempty (df._name{1})),
dummy{2, 2} = []; dummy{3, 2} = [];
else
dummy{2, 2} = [" ";" "];
dummy{3, 2} = df._name{1};
endif
%# insert a vertical space
if (~isempty (dummy{3, 2}))
indi = ~cellfun ('isempty', dummy{3, 2});
if (any (indi))
try
resu = horzcat (resu, vspace, strjust (char(dummy{2, 2}, dummy{3, 2}),...
'right'));
catch
disp ('line 172 '); keyboard
end_try_catch
endif
endif
%# emit each colum
for indi = (1:size (dummy, 2) - 2)
%# was max(df._cnt(2:end)),
try
%# avoid this column touching the previous one
if (any (cellfun ('size', dummy(1:2, 2+indi), 2) >= ...
size (dummy{3, 2+indi}, 2)))
resu = horzcat (resu, vspace);
endif
resu = horzcat (resu, strjust (char (dummy{:, 2+indi}), 'right'));
catch
tmp_str = sprintf ("Emitting %d lines, expecting %d", ...
size (dummy{3, 2+indi}, 1), df._cnt(1));
keyboard
error (tmp_str);
end_try_catch
endfor
else
resu = '';
endif
resu = char (head, resu); disp (resu)
endfunction
dataframe-1.1.0/inst/@dataframe/end.m 0000644 0000000 0000000 00000002374 12427233641 015522 0 ustar 0000000 0000000 function resu = end(df, k, n)
%# function resu = end(df, k, n)
%# This is the end operator for a dataframe object, returning the
%# maximum number of rows or columns
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
try
if k < 3,
resu = df._cnt(k);
else
resu = max(cellfun(@length, df._rep));
endif
catch
error("incorrect call to end, index greater than number of dimensions");
end_try_catch
endfunction
dataframe-1.1.0/inst/@dataframe/eq.m 0000644 0000000 0000000 00000002041 12427233641 015350 0 ustar 0000000 0000000 function resu = eq(A, B);
%# function resu = eq(A, B)
%# Implements the '==' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_func(@eq, A, B);
endfunction
dataframe-1.1.0/inst/@dataframe/erf.m 0000644 0000000 0000000 00000001711 12427233641 015522 0 ustar 0000000 0000000 function resu = erf(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@erf, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/erfc.m 0000644 0000000 0000000 00000001713 12427233641 015667 0 ustar 0000000 0000000 function resu = erfc(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@erfc, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/erfcx.m 0000644 0000000 0000000 00000001715 12427233641 016061 0 ustar 0000000 0000000 function resu = erfcx(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@erfcx, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/erfinv.m 0000644 0000000 0000000 00000001717 12427233641 016245 0 ustar 0000000 0000000 function resu = erfinv(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@erfinv, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/exp.m 0000644 0000000 0000000 00000001711 12427233641 015542 0 ustar 0000000 0000000 function resu = exp(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@exp, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/expm1.m 0000644 0000000 0000000 00000001715 12427233641 016004 0 ustar 0000000 0000000 function resu = expm1(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@expm1, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/find.m 0000644 0000000 0000000 00000004107 12427233641 015670 0 ustar 0000000 0000000 function varargout = find(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
switch nargout
case {0, 1}
resu = []; mz = max (cellfun (@length, df._rep));
for indc = (1:df._cnt(2))
[indr, inds] = feval (@find, df._data{indc}(:, df._rep{indc}));
%# create a vector the same size as indr
dummy = indr; dummy(:) = indc;
resu = [resu; sub2ind([df._cnt(1:2) mz], indr, dummy, inds)];
endfor
varargout{1} = sort (resu);
case 2
nz = 0; idx_i = []; idx_j = [];
for indc = (1:df._cnt(2))
[dum1, dum2] = feval (@find, df._data{indc}(:, df._rep{indc}));
idx_i = [idx_i; dum1];
idx_j = [idx_j; nz + dum2];
nz = nz + df._cnt(1)*length (df._rep{indc});
endfor
varargout{1} = idx_i; varargout{2} = idx_j;
case 3
nz = 0; idx_i = []; idx_j = []; val = [];
for indc = (1:df._cnt(2))
[dum1, dum2, dum3] = feval (@find, df._data{indc}(:, df._rep{indc}));
idx_i = [idx_i; dum1];
idx_j = [idx_j; nz + dum2];
val = [val; dum3];
nz = nz + df._cnt(1)*length (df._rep{indc});
endfor
varargout{1} = idx_i; varargout{2} = idx_j; varargout{3} = val;
otherwise
print_usage ('find');
endswitch
endfunction
dataframe-1.1.0/inst/@dataframe/finite.m 0000644 0000000 0000000 00000001717 12427233641 016232 0 ustar 0000000 0000000 function resu = finite(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@finite, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/fix.m 0000644 0000000 0000000 00000001711 12427233641 015534 0 ustar 0000000 0000000 function resu = fix(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@fix, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/floor.m 0000644 0000000 0000000 00000001715 12427233641 016073 0 ustar 0000000 0000000 function resu = floor(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@floor, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/fold.m 0000644 0000000 0000000 00000006126 12427233641 015677 0 ustar 0000000 0000000 function resu = fold(df, dim, indr, indc)
%# function resu = fold(df, S, RHS)
%# The purpose is to fold a dataframe. Part from (1:indr-1) doesn't
%# move, then content starting at indr is moved into the second,
%# third, ... sheet. To be moved, there must be equality of rownames,
%# if any, and of fields contained in indc.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
switch dim
case 1
[indr, nrow] = df_name2idx (df._name{1}, indr, df._cnt(1), 'row');
[indc, ncol] = df_name2idx (df._name{2}, indc, df._cnt(2), 'column');
if (indr(1) > 1)
slice_size = indr(1) - 1;
%# we can't use directly resu = df(1:slice_size, :, :)
S.type = '()';
S.subs = { 1:slice_size, ':', ':', 'dataframe'};
resu = subsref (df, S);
%# how many columns for each slice
targets = cellfun (@length, df._rep);
%# a test function to determine if the location is free
for indj = (1:df._cnt(2))
if (any (indj == indc))
continue;
endif
switch (df._type{indj})
case { 'char' }
testfunc{indj} = @(x, indr, indc) ...
~isna (x{indr, indc});
otherwise
testfunc{indj} = @(x, indr, indc) ...
~isna (x(indr, indc));
endswitch
endfor
for indi = (indr)
%# where does this line go ?
where = find (df._data{indc}(1:slice_size, 1) ...
== df._data{indc}(indi, 1));
if (~isempty (where))
%# transfering one line -- loop over columns
for indj = (1:df._cnt(2))
if (any (indj == indc))
continue;
endif
if (testfunc{indj}(resu._data{indj}, where, targets(indj)))
%# add one more sheet
resu = df_pad(resu, 3, 1, indj);
targets(indj) = targets(indj) + 1;
endif
%# transfer field
stop
resu._data{indj}(where, targets(indj)) = ...
df._data{indj}(indi, 1);
endfor
%# update row index
resu._ridx(where, max(targets)) = df._ridx(indi);
else
disp ('line 65: FIXME'); keyboard;
endif
endfor
else
disp ('line 70: FIXME '); keyboard
endif
endswitch
dataframe-1.1.0/inst/@dataframe/gamma.m 0000644 0000000 0000000 00000001715 12427233641 016034 0 ustar 0000000 0000000 function resu = gamma(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@gamma, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/ge.m 0000644 0000000 0000000 00000002040 12427233641 015335 0 ustar 0000000 0000000 function resu = ge(A, B);
%# function resu = ge(A, B)
%# Implements the '>=' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_func(@ge, A, B);
endfunction
dataframe-1.1.0/inst/@dataframe/gt.m 0000644 0000000 0000000 00000002037 12427233641 015362 0 ustar 0000000 0000000 function resu = gt(A, B);
%# function resu = gt(A, B)
%# Implements the '>' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_func(@gt, A, B);
endfunction
dataframe-1.1.0/inst/@dataframe/horzcat.m 0000644 0000000 0000000 00000002106 12427233641 016417 0 ustar 0000000 0000000 function resu = horzcat(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
for indi = (1:length (varargin))
varargin{indi} = dataframe (varargin{indi}, 'colnames', inputname(1+indi));,
endfor
resu = cat (2, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/imag.m 0000644 0000000 0000000 00000001713 12427233641 015665 0 ustar 0000000 0000000 function resu = imag(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@imag, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/inv.m 0000644 0000000 0000000 00000003352 12427233641 015545 0 ustar 0000000 0000000 function [resu, rcond] = inv(df);
%# function [x, rcond] = inv(df)
%# Overloaded function computing the inverse of a dataframe. To
%# succeed, the dataframe must be convertible to an square array. Row
%# and column meta-information are exchanged.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (length (df._cnt) > 2 || (df._cnt(1) ~= df._cnt(2)))
error ("Dataframe is not square");
endif
%# quick and dirty conversion
[dummy, rcond] = inv (horzcat (df._data{:}));
resu = df_allmeta(df);
[resu._name{2}, resu._name{1}] = deal (resu._name{1}, resu._name{2});
[resu._over{2}, resu._over{1}] = deal (resu._over{1}, resu._over{2});
if (isempty (resu._name{2})),
resu._name{2} = cellstr (repmat('_', resu._cnt(2), 1));
resu._over{2} = ones (1, resu._cnt(2));
endif
for indi = (resu._cnt(1):-1:1)
resu._data{indi} = dummy(:, indi);
endfor
resu._type(:) = class (dummy);
endfunction
dataframe-1.1.0/inst/@dataframe/ipermute.m 0000644 0000000 0000000 00000001726 12427233641 016606 0 ustar 0000000 0000000 function resu = ipermute(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper2(@ipermute, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/isempty.m 0000644 0000000 0000000 00000000464 12427233641 016444 0 ustar 0000000 0000000 function resu = isempty(df)
%# -*- texinfo -*-
%# @deftypefn {Function File} isempty(@var{df})
%# Return 1 if df is an empty dataframe (either the number of rows, or
%# the number of columns, or both are zero). Otherwise, return 0.
%# @end deftypefn
resu = any (0 == size (df));
endfunction
dataframe-1.1.0/inst/@dataframe/isfield.m 0000644 0000000 0000000 00000005764 12427233641 016401 0 ustar 0000000 0000000 function [resu, idx] = isfield(df, name, strict)
%# -*- texinfo -*-
%# @deftypefn {Function File} [@var{resu}, @var{idx}] = isfield
%# (@var{df}, @var{name}, @var{strict})
%# Return true if the expression @var{df} is a dataframe and it
%# includes an element matching @var{name}. If @var{name} is a cell
%# array, a logical array of equal dimension is returned. @var{idx}
%# contains the column indexes of number of fields matching
%# @var{name}. To enforce strict matching instead of regexp matching,
%# set the third argument to 'true'.
%# @end deftypefn
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (~isa (df, 'dataframe'))
resu = false; return;
endif
if (nargin < 2 || nargin > 3)
print_usage ();
resu = false; return;
endif
if (2 == nargin) strict = false; endif
if (isa (name, 'char'))
if (strict) %# use strmatch to get indexes
for indi = (size (name, 1):-1:1)
dummy = strmatch (name(indi, :), df._name{2}, "exact");
resu(indi, 1) = ~isempty (dummy);
for indj = (1:length (dummy))
idx(indi, indj) = dummy(indj);
endfor
endfor
else
for indi = (size (name, 1):-1:1)
try
dummy = df_name2idx (df._name{2}, name(indi, :), ...
df._cnt(2), 'column');
resu(indi, 1) = ~isempty (dummy);
for indj = (1:length (dummy))
idx(indi, indj) = dummy(indj);
endfor
catch
resu(indi, 1) = false; idx(indi, 1) = 0;
end_try_catch
endfor
endif
elseif (isa (name, 'cell'))
if (strict) %# use strmatch to get indexes
for indi = (size (name, 1):-1:1)
dummy = strmatch (name{indi}, df._name{2}, "exact");
resu{indi, 1} = ~isempty (dummy);
idx{indi, 1} = dummy;
endfor
else
for indi = (length (name):-1:1)
try
dummy = df_name2idx (df._name{2}, name{indi}, ...
df._cnt(2), 'column');
keyboard
resu{indi, 1} = ~isempty (dummy); idx{indi, 1} = dummy;
catch
resu{indi, 1} = false; cnt{indi, 1} = 0;
end_try_catch
endfor
endif
endif
endfunction
dataframe-1.1.0/inst/@dataframe/isinf.m 0000644 0000000 0000000 00000001715 12427233641 016062 0 ustar 0000000 0000000 function resu = isinf(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@isinf, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/ismatrix.m 0000644 0000000 0000000 00000002376 12427233641 016616 0 ustar 0000000 0000000 function resu = ismatrix(df)
%# function resu = ismatrix(df)
%# returns true if the dataframe can be converted to a matrix
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
df_is_num = isnumeric(df._data{1});
df_is_char = ischar(df._data{1});
for indi = df._cnt(2):-1:2,
df_is_num = df_is_num & isnumeric(df._data{indi});
df_is_char = df_is_char & ischar(df._data{indi});
endfor
resu = df_is_num | df_is_char;
endfunction
dataframe-1.1.0/inst/@dataframe/isna.m 0000644 0000000 0000000 00000001713 12427233641 015702 0 ustar 0000000 0000000 function resu = isna(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@isna, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/isnan.m 0000644 0000000 0000000 00000001715 12427233641 016062 0 ustar 0000000 0000000 function resu = isnan(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@isnan, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/isnumeric.m 0000644 0000000 0000000 00000002552 12427233641 016750 0 ustar 0000000 0000000 function resu = isnumeric(df)
%# function resu = isnumeric(df)
%# returns true if the dataframe contains only numeric columns
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
df_is_num = isnumeric(df._data{1});
df_is_char = ischar(df._data{1});
for indi = df._cnt(2):-1:2,
df_is_num = df_is_num & isnumeric(df._data{indi});
df_is_char = df_is_char & ischar(df._data{indi});
endfor
resu = isnumeric(zeros(0, class(sum(cellfun(@(x) zeros(1, class(x(1))),...
df._data)))));
endfunction
dataframe-1.1.0/inst/@dataframe/isscalar.m 0000644 0000000 0000000 00000002070 12427233641 016546 0 ustar 0000000 0000000 function resu = isscalar(df)
%# function resu = isscalar(df)
%# returns true if the dataframe can be converted to a vector
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = ismatrix (df) & (length (find (df._cnt > 1)) < 1);
endfunction
dataframe-1.1.0/inst/@dataframe/isvector.m 0000644 0000000 0000000 00000002071 12427233641 016604 0 ustar 0000000 0000000 function resu = isvector(df)
%# function resu = isvector(df)
%# returns true if the dataframe can be converted to a vector
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = ismatrix (df) & (length (find (df._cnt > 1)) <= 1);
endfunction
dataframe-1.1.0/inst/@dataframe/kron.m 0000644 0000000 0000000 00000002040 12427233641 015713 0 ustar 0000000 0000000 function resu = kron(A, B)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (isa(A, 'dataframe')),
A = df_whole(A);
endif
if (isa(B, 'dataframe')),
B = df_whole(B);
endif
resu = kron(A, B);
endfunction
dataframe-1.1.0/inst/@dataframe/ldivide.m 0000644 0000000 0000000 00000002263 12427233641 016371 0 ustar 0000000 0000000 function resu = ldivide(A, B);
%# function resu = ldivide(A, B)
%# Implements the dotted '\' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
try
resu = df_func (@ldivide, A, B);
catch
disp (lasterr ());
error ("Operator .\\ problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe-1.1.0/inst/@dataframe/le.m 0000644 0000000 0000000 00000002040 12427233641 015342 0 ustar 0000000 0000000 function resu = le(A, B);
%# function resu = le(A, B)
%# Implements the '<=' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_func(@le, A, B);
endfunction
dataframe-1.1.0/inst/@dataframe/lgamma.m 0000644 0000000 0000000 00000001717 12427233641 016212 0 ustar 0000000 0000000 function resu = lgamma(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@lgamma, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/log.m 0000644 0000000 0000000 00000001711 12427233641 015527 0 ustar 0000000 0000000 function resu = log(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@log, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/log10.m 0000644 0000000 0000000 00000001715 12427233641 015674 0 ustar 0000000 0000000 function resu = log10(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@log10, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/log1p.m 0000644 0000000 0000000 00000001715 12427233641 015774 0 ustar 0000000 0000000 function resu = log1p(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@log1p, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/log2.m 0000644 0000000 0000000 00000001713 12427233641 015613 0 ustar 0000000 0000000 function resu = log2(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@log2, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/lt.m 0000644 0000000 0000000 00000002042 12427233641 015363 0 ustar 0000000 0000000 function resu = lt(A, B);
%# function resu = minus(A, B)
%# Implements the '<' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_func(@lt, A, B);
endfunction
dataframe-1.1.0/inst/@dataframe/max.m 0000644 0000000 0000000 00000001714 12427233641 015536 0 ustar 0000000 0000000 function resu = max(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper2(@max, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/min.m 0000644 0000000 0000000 00000001714 12427233641 015534 0 ustar 0000000 0000000 function resu = min(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper2(@min, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/minus.m 0000644 0000000 0000000 00000002240 12427233641 016077 0 ustar 0000000 0000000 function resu = minus(A, B);
%# function resu = minus(A, B)
%# Implements the '-' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
try
resu = df_func(@minus, A, B);
catch
disp(lasterr());
error("Operator - problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe-1.1.0/inst/@dataframe/mldivide.m 0000644 0000000 0000000 00000002307 12427233641 016545 0 ustar 0000000 0000000 function resu = mldivide(A, B);
%# function resu = mldivide(A, B)
%# Implements the '\' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
try
resu = df_func (@mldivide, A, B, false, [true false]);
catch
disp (lasterr ());
error ("Operator \\ problem for %s vs. %s", class (A), class (B));
end_try_catch
endfunction
dataframe-1.1.0/inst/@dataframe/mrdivide.m 0000644 0000000 0000000 00000002311 12427233641 016546 0 ustar 0000000 0000000 function resu = mrdivide(A, B);
%# function resu = mrdivide(A, B)
%# Implements the '/' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
try
resu = df_func(@mrdivide, A, B, [false true], [false true]);
catch
disp(lasterr());
error("Operator / problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe-1.1.0/inst/@dataframe/mtimes.m 0000644 0000000 0000000 00000002270 12427233641 016245 0 ustar 0000000 0000000 function resu = mtimes(A, B);
%# function resu = mtimes(A, B)
%# Implements the '*' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
try
resu = df_func(@mtimes, A, B, false, [true false]);
catch
disp(lasterr());
error("Operator * problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe-1.1.0/inst/@dataframe/ndims.m 0000644 0000000 0000000 00000000422 12427233641 016056 0 ustar 0000000 0000000 function resu = ndims(df)
%# -*- texinfo -*-
%# @deftypefn {Function File} ndims(@var{df})
%# overloaded function implementing ndims for a dataframe
%# @end deftypefn
resu = 2;
nseq = max(cellfun(@length, df._rep));
if nseq > 1, resu = 3; endif
endfunction
dataframe-1.1.0/inst/@dataframe/ne.m 0000644 0000000 0000000 00000002041 12427233641 015345 0 ustar 0000000 0000000 function resu = ne(A, B);
%# function resu = ne(A, B)
%# Implements the '~=' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_func (@ne, A, B);
endfunction
dataframe-1.1.0/inst/@dataframe/not.m 0000644 0000000 0000000 00000001711 12427233641 015546 0 ustar 0000000 0000000 function resu = not(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@not, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/nth_element.m 0000644 0000000 0000000 00000004134 12427233641 017252 0 ustar 0000000 0000000 function resu = nth_element(df, n, dim)
%# function resu = nth_element(x, n, dim)
%# This is a wrapper for the real nth_element
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (~isa (df, 'dataframe'))
resu = []; return;
endif
if (nargin < 3)
%# default: operates on the first non-singleton dimensio
resu = df._cnt;
dim = find (resu > 1);
dim = dim(1)
endif
switch dim
case {1}
resu = df_colmeta (df);
for indi = (1:df._cnt(2))
resu._data{indi} = feval (@nth_element, df._data{indi}(:, df._rep{indi}), n, dim);
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
resu._cnt(1) = max (cellfun ('size', resu._data, 1));
if (resu._cnt(1) == df._cnt(1))
%# the func was not contracting
resu._ridx = df._ridx;
resu._name{1} = resu._name{1}; resu._over{1} = resu._over{1};
endif
case {2}
error ('Operation not implemented');
case {3}
resu = df_allmeta(df);
for indi = (1:df._cnt(2))
resu._data{indi} = feval (@nth_element, df._data{indi}(:, df._rep{indi}), n, dim-1);
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
otherwise
error ("Invalid dimension %d", dim);
endswitch
resu = df_thirddim (resu);
endfunction
dataframe-1.1.0/inst/@dataframe/numel.m 0000644 0000000 0000000 00000002410 12427233641 016063 0 ustar 0000000 0000000 function resu = numel(df)
%# function resu = numel(df)
%# This is numel operator for a dataframe object.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
switch nargin
case 1
resu = prod (df._cnt);
otherwise
error (print_usage ());
endswitch
endfunction
function usage = print_usage()
usage = strcat ('Invalid call to numel. Correct usage is: ', ' ', ...
'-- Overloaded Function: numel (A)');
endfunction
dataframe-1.1.0/inst/@dataframe/or.m 0000644 0000000 0000000 00000002037 12427233641 015370 0 ustar 0000000 0000000 function resu = or(A, B);
%# function resu = or(A, B)
%# Implements the '|' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_func(@or, A, B);
endfunction
dataframe-1.1.0/inst/@dataframe/permute.m 0000644 0000000 0000000 00000006553 12427233641 016440 0 ustar 0000000 0000000 function resu = permute(df, perm)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = dataframe ();
if (length (df._cnt) >= length (perm))
resu._cnt = df._cnt(perm);
else
resu._cnt = [df._cnt 1](perm);
endif
if (ndims (df._ridx) < 3)
resu._ridx = permute (df._ridx, [min(perm(1), 2) min(perm(2:end))]);
else
resu._ridx = permute (df._ridx, perm);
endif
if (size (resu._ridx, 1) < resu._cnt(1))
%# adjust index size, if required
resu._ridx(end+1:resu._cnt(1), :, :) = NA;
endif
if (2 == perm(1)),
resu._name{1} = df._name{2};
resu._over{1} = df._over{2};
indc = length (resu._name{1});
indi = resu._cnt(1) - indc;
if (indi > 0)
%# generate a name for the new row(s)
dummy = cstrcat (repmat ('_', indi, 1), ...
strjust (num2str (indc + (1:indi).'), 'left'));
resu._name{1}(indc + (1:indi)) = cellstr (dummy);
resu._over{1}(1, indc + (1:indi)) = true;
endif
else
resu._name{1} = df._name{1};
resu._over{1} = df._over{1};
endif
if (2 == perm(2))
resu._name{2} = df._name{2};
resu._over{2} = df._over{2};
else
resu._name{2} = df._name{1};
resu._over{2} = df._over{1};
endif
if (isempty (resu._name{2})),
indc = 0;
else
indc = length (resu._name{2});
endif
indi = resu._cnt(2) - indc;
if (indi > 0)
%# generate a name for the new column(s)
dummy = cstrcat (repmat ('_', indi, 1), ...
strjust (num2str (indc + (1:indi).'), 'left'));
resu._name{2}(indc + (1:indi)) = cellstr (dummy);
resu._over{2}(1, indc + (1:indi)) = true;
endif
if (2 ~= perm(2)),
%# recompute the new type
dummy = zeros (0, class (sum (cellfun (@(x) zeros (1, class(x(1))),...
df._data))));
resu._type(1:resu._cnt(2)) = class (dummy);
dummy = permute (df_whole(df), perm);
for indi = (1:resu._cnt(2))
resu._data{indi} = squeeze (dummy(:, indi, :));
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
else %# 2 == perm(2)
if (1 == perm(1)) %# blank operation
resu._type = df._type;
resu._data = df._data;
resu._rep = df._rep;
else
for indi = (1:resu._cnt(2))
unfolded = df._data{indi}(:, df._rep{indi});
resu._data{indi} = permute (unfolded, [2 1]);
resu._rep{indi} = 1:size (resu._data{indi}, 2);
resu._type{indi} = df._type{indi};
endfor
endif
endif
resu._src = df._src;
resu._header = df._header;
resu._cmt = df._cmt;
endfunction
dataframe-1.1.0/inst/@dataframe/plus.m 0000644 0000000 0000000 00000002235 12427233641 015733 0 ustar 0000000 0000000 function resu = plus(A, B);
%# function resu = plus(A, B)
%# Implements the '+' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
try
resu = df_func(@plus, A, B);
catch
disp(lasterr());
error("Operator + problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe-1.1.0/inst/@dataframe/power.m 0000644 0000000 0000000 00000001715 12427233641 016106 0 ustar 0000000 0000000 function resu = power(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@power, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_allmeta.m 0000644 0000000 0000000 00000003610 12427233641 020510 0 ustar 0000000 0000000 function resu = df_allmeta(df, dim = [])
%# function resu = df_allmeta(df)
%# Returns a new dataframe, initalised with the all the
%# meta-information but with empty data
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = dataframe ();
if (isempty (dim)),
dim = df._cnt(1:2);
else
dim = dim(1:2); %# ignore third dim, if any
endif
resu._cnt(1:2) = min (dim, df._cnt(1:2));
if (~isempty(df._name{1}))
resu._name{1} = df._name{1}(1:resu._cnt(1));
resu._over{1} = df._over{1}(1:resu._cnt(1));
endif
if (~isempty(df._name{2}))
resu._name{2} = df._name{2}(1:resu._cnt(2));
resu._over{2} = df._over{2}(1:resu._cnt(2));
endif
if (~isempty(df._ridx))
if (size (df._ridx, 2) >= resu._cnt(2)),
resu._ridx = df._ridx(1:resu._cnt(1), :, :);
else
resu._ridx = df._ridx(1:resu._cnt(1), 1, :);
endif
endif
%# init it with the right orientation
resu._data = cell (size (df._data));
resu._rep = cell (size (df._rep));
resu._type = df._type(1:resu._cnt(2));
resu._src = df._src;
resu._cmt = df._cmt;
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_basecomp.m 0000644 0000000 0000000 00000014675 12427233641 020677 0 ustar 0000000 0000000 function [A, B, C] = df_basecomp(A, B, itercol=true, func=@plus);
%# function [A, B, C] = df_basecomp(A, B, itercol)
%# Basic size and metadata compatibility verifications for
%# two-arguments operations on dataframe. Returns a scalar, a matrix,
%# or a dataframe. Cell arrays are converted to df. Third output
%# contains a merge of the metadata.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (1 == length (itercol))
strict = false;
else
strict = itercol(2); itercol = itercol(1);
endif
if (iscell (A)) A = dataframe (A); endif
if (iscell (B)) B = dataframe (B); endif
switch (func2str (func))
case 'bsxfun'
%# bsxfun compatibility rule: if there is at least one singleton
%# dim, the smallest is repeated to reach the size of the
%# greatest. Otherwise, all dims must be equal.
if (any (size (A)(1:2) ~= size (B)(1:2)))
if (~any (1 == [size(A) size(B)]))
error ('bsxfun: both arguments must have the same dim, of one of them must have at least one singleton dim');
else
Csize = max ([size(A)(1:2); size(B)(1:2)]);
endif
else
Csize = size (A)(1:2);
endif
case 'mldivide'
if (isscalar (A))
Csize = size (B)(1:2);
else
if (size (A, 1) ~= size (B, 1))
error ("Non compatible row sizes (op1 is %dx%d, op2 is %dx%d)",...
size (A), size (B)(1:2));
endif
Csize = [size(A, 2) size(B, 2)];
endif
otherwise
%# if strict is set, B may not be non-scalar vs scalar
if ((~(isscalar (A) || isscalar (B)))||(strict && isscalar (A)))
if (itercol) %# requires full compatibility
Csize = size (A)(1:2);
if (any (Csize - size (B)(1:2)))
%# disp([size(A) size(B)])
error ("Non compatible row and columns sizes (op1 is %dx%d, op2 is %dx%d)",...
Csize, size (B));
endif
else %# compatibility with matrix product
if (size (A, 2) - size (B, 1))
error ("Non compatible columns vs. rows size (op1 is %dx%d, op2 is %dx%d)",...
size (A)(1:2), size (B)(1:2));
endif
Csize = [size(A, 1) size(B, 2)];
endif
endif
endswitch
if (~(isscalar (A) || isscalar (B)))
C = [];
if (isa (A, 'dataframe'))
if (nargout > 2 && all (Csize == size (A)(1:2)))
C = df_allmeta (A, Csize);
endif
if (isa (B, 'dataframe'))
if (nargout > 2 && isempty (C) && all (Csize == size (B)(1:2)))
C = df_allmeta (B, Csize);
endif
if (strict)
%# compare indexes if both exist
if (~isempty (A._ridx))
if (~isempty(B._ridx) && itercol)
if (any (A._ridx-B._ridx))
error ("Non compatible indexes");
endif
endif
else
if (nargout > 2 && itercol) C._ridx = B._ridx; endif
endif
if (itercol)
idxB = 1; %# row-row comparison
else
idxB = 2; %# row-col comparsion
endif
if (~isempty (A._name{1}))
if (~isempty (B._name{idxB}))
dummy = ~(strcmp (cellstr (A._name{1}), cellstr (B._name{idxB}))...
| (A._over{1}(:)) | (B._over{idxB}(:)));
if (any (dummy))
if (itercol)
error ("Incompatible row names");
else
error ("Incompatible row vs. column names");
endif
endif
dummy = A._over{1} > B._over{idxB};
if (any (dummy))
C._name{1}(dummy) = B._name{idxB}(dummy);
C._over{1}(dummy) = B._over{idxB}(dummy);
endif
endif
else
if (nargout > 2)
C._name{1} = B._name{idxB}; C._over{1} = B._over{idxB};
endif
endif
idxB = 3-idxB;
if (~isempty(A._name{2}))
if (~isempty(B._name{idxB}))
dummy = ~(strcmp (cellstr (A._name{2}), cellstr (B._name{2}))...
| (A._over{2}(:)) | (B._over{2}(:)));
if (any (dummy))
if (itercol)
error ("Incompatible column vs row names");
else
error ("Incompatible column names");
endif
endif
dummy = A._over{2} > B._over{idxB};
if (any (dummy))
C._name{2}(dummy) = B._name{idxB}(dummy);
C._over{2}(dummy) = B._over{idxB}(dummy);
endif
endif
else
if (nargout > 2 && ~isempty (B._name{idxB}))
C._name{2} = B._name{idxB}; C._over{2} = B._over{idxB};
endif
endif
endif
if (isempty (A._src) && nargout > 2 && ~isempty (B._src))
C._src = B._src;
endif
if (isempty (A._cmt) && nargout > 2 && ~isempty (B._cmt))
C._cmt = B._cmt;
endif
else %# B is not a df
B = dataframe (B);
if (nargout > 2 && isempty (C))
C = df_allmeta (A);
endif
endif
else %# A is not a df
A = dataframe (A);
if (nargout > 2)
if (all (Csize == size (B)(1:2)))
C = df_allmeta (B, Csize);
else
C = df_allmeta (B);
endif
endif
endif
else %# both arg are scalar
if (nargout > 2)
if (isa (A, 'dataframe'))
C = df_allmeta (A);
else
C = df_allmeta (B);
endif
endif
endif
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_check_char_array.m 0000644 0000000 0000000 00000003054 12427233641 022343 0 ustar 0000000 0000000 function resu = df_check_char_array(x, nelem, required)
%# auxiliary function: pad a char array to some width
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (2 == nargin) required = [nelem 1]; endif
if (nelem < required(1))
error ("Too many elements to assign");
endif
%# a zero-length element is still considered as a space by char
if (isempty (x)) x = ' '; endif
if (size (x, 1) < max (required(1), nelem))
%# pad vertically
dummy = repmat (' ', nelem-size (x, 1), 1);
resu = char (x, dummy);
else
resu = x;
endif
if (size (resu, 2) < required(2))
%# pad horizontally
dummy = repmat (' ', nelem, required(2)-size (resu, 2));
resu = horzcat (resu, dummy);
endif
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_colmeta.m 0000644 0000000 0000000 00000002633 12427233641 020521 0 ustar 0000000 0000000 function resu = df_colmeta(df)
%# function resu = df_colmeta(df)
%# Returns a new dataframe, initalised with the meta-information
%# about columns from the source, but with empty data
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_func.m 7943 2010-11-24 15:33:54Z cdemills $
%#
resu = dataframe ();
resu._cnt(2) = df._cnt(2);
resu._name{2} = df._name{2};
resu._over{2} = df._over{2};
resu._type = df._type;
%# init it with the right orientation
resu._data = cell (size (df._data));
resu._rep = cell (size (df._rep));
resu._src = df._src;
resu._cmt = df._cmt;
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_cow.m 0000644 0000000 0000000 00000004524 12427233641 017666 0 ustar 0000000 0000000 function [df, S] = df_cow(df, S, col)
%# function [resu, S] = df_cow(df, S, col)
%# Implements Copy-On-Write on dataframe. If one or more columns
%# specified in inds is aliased to another one, duplicate it and
%# adjust the repetition index to remove the aliasing
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (length (col) > 1)
error ("df_cow must work on a column-by-column basis");
endif
if (1 == length (S.subs)),
inds = 1;
else
inds = S.subs{2};
endif
if (~isnumeric(inds))
if (~strcmp (inds, ':'))
error ("Unknown sheet selector %s", inds);
endif
inds = 1:length (df._rep(col));
endif
for indi = (inds(:).')
dummy = df._rep{col}; dummy(indi) = 0;
[t1, t2] = ismember (df._rep{col}(indi)(:), dummy);
for indj = (t2(find (t2))) %# Copy-On-Write
%# determines the index for the next column
t1 = 1 + max (df._rep{col});
%# duplicate the touched column
df._data{col} = horzcat (df._data{col}, ...
df._data{col}(:, df._rep{col}(indj)));
if (indi > 1)
%# a new column has been created
df._rep{col}(indi) = t1;
else
%# update repetition index aliasing this one
df._rep{col}(find (dummy == indi)) = t1;
endif
endfor
endfor
%# reorder S
if (length (S.subs) > 1)
if (S.subs{2} ~= 1 || length (S.subs{2}) > 1),
%# adapt sheet index according to df_rep
S.subs{2} = df._rep{col}(S.subs{2});
endif
endif
df = df_thirddim (df);
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_func.m 0000644 0000000 0000000 00000021556 12427233641 020035 0 ustar 0000000 0000000 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) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
[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._cnt(2):-1:1)
switch resu._type{indi}
case "char"
resu._data{indi} = feval (func, A, char (B._data{indi}));
otherwise
resu._data{indi} = feval (func, A, B._data{indi});
endswitch
endfor
resu._rep = B._rep;
else
if (whole(1) && ~whole(2))
for indi = (resu._cnt(2):-1:1)
switch resu._type{indi}
case "char"
resu._data{indi} = feval (func, A, ...
char (B._data{indi}(:, B._rep{indi})));
otherwise
resu._data{indi} = feval (func, A, ...
B._data{indi}(:, B._rep{indi}));
endswitch
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
elseif (itercol && ~whole(2)),
for indi = (resu._cnt(2):-1:1)
switch resu._type{indi}
case "char"
resu._data{indi} = feval (func, squeeze (A(:, indi, :)), ...
char (B._data{indi}(:, B._rep{indi})));
otherwise
resu._data{indi} = feval (func, squeeze (A(:, indi, :)), ...
B._data{indi}(:, B._rep{indi}));
endswitch
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
elseif (~whole(2)),
warning ("no 3D yet");
for indi = (resu._cnt(2):-1:1)
switch resu._type{indi}
case "char"
resu._data{indi} = feval (func, A(indi, :), char (B._data{indi}));
otherwise
resu._data{indi} = feval (func, A(indi, :), B._data{indi});
endswitch
endfor
else
dummy = feval (func, A, df_whole (B));
for indi = (resu._cnt(2):-1:1) %# store column-wise
resu._data{indi} = squeeze (dummy(:, indi, :));
resu._rep{indi} = 1:size (resu._data{indi}, 2);
resu._type{indi} = class (dummy);
endfor
endif
endif
else
if (itercol)
for indi = (resu._cnt(2):-1:1)
switch resu._type{indi}
case "char"
resu._data{indi} = feval ...
(func, char (A._data{indi}(:, A._rep{indi})), ...
char (B._data{indi}(B._rep{indi})));
otherwise
resu._data{indi} = feval ...
(func, A._data{indi}(:, A._rep{indi}), ...
B._data{indi}(:, B._rep{indi}));
endswitch
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
else %# itercol is false
dummy = df_whole(A);
if (whole(1))
for indi = (resu._cnt(2):-1:1)
switch resu._type{indi}
case "char"
resu._data{indi} = feval (func, dummy, ...
char (B._data{indi}(:, B._rep{indi})));
otherwise
resu._data{indi} = feval (func, dummy, ...
B._data{indi}(:, B._rep{indi}));
endswitch
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
elseif (~whole(2))
for indi = (resu._cnt(2):-1:1)
switch resu._type{indi}
case "char"
resu._data{indi} = squeeze ...
(feval (func, dummy(indi, :, :),...
char (B._data{indi}(:, B._rep{indi}))));
otherwise
resu._data{indi} = squeeze ...
(feval (func, dummy(indi, :, :), ...
B._data{indi}(:, B._rep{indi})));
endswitch
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
else
dummy = feval (func, dummy, df_whole(B));
for indi = (resu._cnt(2):-1:1) %# store column-wise
resu._data{indi} = squeeze (dummy(:, indi, :));
resu._rep{indi} = 1:size (resu._data{indi}, 2);
resu._type{indi} = class (dummy);
endfor
endif
endif
endif
else %# B is not a dataframe
if (isscalar (B))
for indi = (resu._cnt(2):-1:1)
switch resu._type{indi}
case "char"
resu._data{indi} = feval (func, char (A._data{indi}), B);
otherwise
resu._data{indi} = feval (func, A._data{indi}, B);
endswitch
endfor
resu._rep = A._rep;
else
if (itercol)
if (whole(2))
for indi = (resu._cnt(2):-1:1)
switch resu._type{indi}
case "char"
unfolded = char (A._data{indi}(:, A._rep{indi}));
otherwise
unfolded = A._data{indi}(:, A._rep{indi});
endswitch
resu._data{indi} = squeeze (feval (func, unfolded, B));
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
else
for indi = (resu._cnt(2):-1:1)
switch resu._type{indi}
case "char"
unfolded = char (A._data{indi}(:, A._rep{indi}));
otherwise
unfolded = A._data{indi}(:, A._rep{indi});
endswitch
resu._data{indi} = feval (func, unfolded, ...
squeeze (B(:, indi, :)));
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
endif
else
dummy = df_whole(A);
if (whole(1))
for indi = (columns (B):-1:1)
resu._data{indi} = squeeze (feval(func, dummy, B(:, indi, :)));
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
else
if (~whole(2))
for indi = (resu._cnt(1):-1:1)
resu._data{indi} = squeeze (feval (func, dummy(indi, :, :), ...
B(:, indi, :)));
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
else
for indi = (resu._cnt(1):-1:1) %# in place computation
dummy(indi, :, :) = feval (func, dummy(indi, :, :), B);
endfor
for indi = (resu._cnt(2):-1:1) %# store column-wise
resu._data{indi} = squeeze (dummy(:, indi, :));
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
endif
endif
%# verify that sizes match, this is required for "\"
resu._cnt(2) = length (resu._data);
resu._cnt(1) = max (cellfun ('size', resu._data, 1));
if (length (resu._ridx) < resu._cnt(1)),
if (1 == length (resu._ridx))
resu._ridx(end+1:resu._cnt(1), 1) = resu._ridx(1);
else
resu._ridx(end+1:resu._cnt(1), 1) = NA;
endif
endif
if (length (resu._name{2}) < resu._cnt(2)),
if (1 == length (resu._name{2})),
resu._name{2}(end+1:resu._cnt(2), 1) = resu._name{2};
resu._over{2}(end+1:resu._cnt(2), 1) = resu._over{2};
else
resu._name{2}(end+1:resu._cnt(2), 1) = '_';
resu._over{2}(end+1:resu._cnt(2), 1) = true;
endif
endif
endif
endif
endif
resu._type = cellfun (@class, resu._data, "UniformOutput", false);
resu = df_thirddim (resu);
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_mapper.m 0000644 0000000 0000000 00000002501 12427233641 020353 0 ustar 0000000 0000000 function resu = df_mapper(func, df, varargin)
%# resu = df_mapper(func, df)
%# small interface to iterate some func over the elements of a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_allmeta(df);
resu._data = cellfun(@(x) feval(func, x, varargin{:}), df._data, ...
"UniformOutput", false);
resu._rep = df._rep; %# things didn't change
resu._type = cellfun(@(x) class(x(1)), resu._data, "UniformOutput", false);
resu = df_thirddim(resu);
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_mapper2.m 0000644 0000000 0000000 00000005035 12427233641 020442 0 ustar 0000000 0000000 function resu = df_mapper2(func, df, varargin)
%# resu = df_mapper2(func, df)
%# small interface to iterate some vector func over the elements of a
%# dataframe. This one is specifically adapted to all functions where
%# the first argument, if numeric, is 'dim'.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
dim = 1; resu = []; vout = varargin;
%# take care of constructs as min(x, [], dim)
if (~isempty(varargin))
indk = 1; while (indk <= length (varargin))
if (isnumeric (varargin{indk}))
if (isempty (varargin{indk}))
indk = indk + 1; continue;
endif
dim = varargin{indk};
%# the "third" dim is the second on stored data
if (3 == dim) vout(indk) = 2; endif
endif
break;
endwhile
endif
switch (dim)
case {1}
resu = df_colmeta (df);
for indi = (1:df._cnt(2))
resu._data{indi} = feval (func, df._data{indi}(:, df._rep{indi}), ...
vout{:});
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
resu._cnt(1) = max (cellfun ('size', resu._data, 1));
if (resu._cnt(1) == df._cnt(1))
%# the func was not contracting
resu._ridx = df._ridx;
resu._name{1} = resu._name{1}; resu._over{1} = resu._over{1};
endif
case {2}
error ('Operation not implemented');
case {3}
resu = df_allmeta(df);
for indi = (1:df._cnt(2))
resu._data{indi} = feval (func, df._data{indi}(:, df._rep{indi}), ...
vout{:});
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endfor
otherwise
error ("Invalid dimension %d", dim);
endswitch
resu = df_thirddim (resu);
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_matassign.m 0000644 0000000 0000000 00000050504 12427233641 021063 0 ustar 0000000 0000000 function df = df_matassign(df, S, indc, ncol, RHS)
%# auxiliary function: assign the dataframe as if it was a matrix
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (isnull (RHS))
if (1 == ncol)
if (sum (~strcmp (S.subs, ':')) > 2)
error("A null assignment can only have one non-colon index.");
endif
elseif (sum (~strcmp (S.subs, ':')) > 1)
error("A null assignment can only have one non-colon index.");
endif
if (strcmp (S.subs(1), ':')) %# removing column/matrix
RHS = S; RHS.subs(2) = [];
for indi = (indc)
unfolded = df._data{indi}(:, df._rep{indi});
unfolded = feval (@subsasgn, unfolded, RHS, []);
df._data{indi} = unfolded;
if (~isempty (unfolded))
df._rep(indi) = 1:size (unfolded, 2);
endif
endfor
%# remove empty elements
indi = cellfun ('isempty', df._data);
if (any (indi)) %# nothing left, remove this column
df._cnt(2) = df._cnt(2) - sum (indi);
indi = ~indi; %# vector of kept data
df._name{2} = df._name{2}(indi);
df._over{2} = df._over{2}(indi);
df._type = df._type(indi);
df._data = df._data(indi);
df._rep = df._rep(indi);
endif
if (size (df._ridx, 3) > 1)
df._ridx(:, indc, :) = [];
endif
elseif (strcmp (S.subs(2), ':')) %# removing rows
indr = S.subs{1};
if (~isempty (df._name{1}))
df._name{1}(indr, :) = [];
df._over{1}(indr) = [];
endif
df._ridx(indr, :, :) = [];
%# to remove a line, iterate on each column
df._data = cellfun (@(x) feval(@subsasgn, x, S, []), ...
df._data, "UniformOutPut", false);
if (isa (indr, 'char'))
df._cnt(1) = 0;
else
df._cnt(1) = df._cnt(1) - length (indr);
endif
endif
df = df_thirddim (df);
return;
endif
indc_was_set = ~isempty (indc);
if (~indc_was_set) %# initial dataframe was empty
ncol = size (RHS, 2); indc = 1:ncol;
endif
indr = S.subs{1, 1};
indr_was_set = ~isempty (indr);
%# initial dataframe was empty ?
if (~indr_was_set || strcmp (indr, ':'))
if (iscell (RHS))
nrow = max (sum (cellfun ('size', RHS, 1)));
else
if (isvector (RHS))
if (0 == df._cnt(1))
nrow = size (RHS, 1);
else
nrow = df._cnt(1); %# limit to df numbner of rows
endif
else
%# deduce limit from RHS
nrow = size (RHS, 1);
endif
endif
indr = 1:nrow;
elseif (~isempty (indr))
if (~isnumeric (indr))
%# translate row names to row index
[indr, nrow] = df_name2idx (df._name{1}, indr, df._cnt(1), 'row');
S.subs{1, 1} = indr;
else
nrow = length (indr);
endif
endif
if (length (S.subs) > 2)
inds = S.subs{1, 3};
else
inds = [];
endif
rname = cell(0, 0); rname_width = max (1, size (df._name{2}, 2));
ridx = []; cname = rname; ctype = rname;
if (iscell (RHS))
if ((length (indc) == df._cnt(2) && size (RHS, 2) >= df._cnt(2)) ...
|| 0 == df._cnt(2) || isempty (S.subs{1}) || isempty (S.subs{2}))
%# providing too much information -- remove extra content
if (size (RHS, 1) > 1)
%# at this stage, verify that the first line doesn't contain
%# chars only; use them for column names
dummy = cellfun ('class', ...
RHS(1, ~cellfun ('isempty', RHS(1, :))), ...
'UniformOutput', false);
dummy = strcmp (dummy, 'char');
if (all (dummy))
if (length (df._over{2}) >= max (indc) ...
&& ~all (df._over{2}(indc)) && ~isempty (S.subs{2}))
warning("Trying to overwrite colum names");
endif
cname = RHS(1, :).'; RHS = RHS(2:end, :);
if (~indr_was_set)
nrow = nrow - 1; indr = 1:nrow;
else
%# we know indr, there is no reason that RHS(:, 1) contains
%# row names.
if (isempty (S.subs{2}))
%# extract columns position from columns names
[indc, ncol, S.subs{2}, dummy] = ...
df_name2idx (df._name{2}, cname, df._cnt(2), 'column');
if (length (dummy) ~= sum (dummy))
warning ("Not all RHS column names used");
cname = cname(dummy); RHS = RHS(:, dummy);
endif
endif
endif
endif
%# at this stage, verify that the first line doesn't contain
%# chars only; use them for column types
dummy = cellfun ('class', ...
RHS(1, ~cellfun ('isempty', RHS(1, :))), ...
'UniformOutput', false);
dummy = strcmp (dummy, 'char');
if (all (dummy))
if (length (df._over{2}) >= max (indc) ...
&& ~all (df._over{2}(indc)))
warning ("Trying to overwrite colum names");
endif
if (sum (~cellfun ('isempty', RHS(1, indc))) == ncol)
ctype = RHS(1, :);
endif
RHS = RHS(2:end, :);
if (~indr_was_set)
nrow = nrow - 1; indr = 1:nrow;
endif
endif
endif
%# more elements than df width -- try to use the first two as
%# row index and/or row name
if (size (RHS, 1) > 1)
dummy = all (cellfun ('isnumeric', ...
RHS(~cellfun ('isempty', RHS(:, 1)), 1)));
else
if (0 == size (RHS, 1))
dummy = false;
else
dummy = isnumeric (RHS{1, 1});
endif
endif
dummy = dummy && (~isempty (cname) && size (cname{1}, 2) < 1);
if (dummy)
ridx = cell2mat (RHS(:, 1));
%# can it be converted to a list of unique numbers ?
if (length (unique (ridx)) == length (ridx))
ridx = RHS(:, 1); RHS = RHS(:, 2:end);
if (length (df._name{2}) == df._cnt(2) + ncol)
%# columns name were pre-filled with too much values
df._name{2}(end) = [];
df._over{2}(end) = [];
if (size (RHS, 2) < ncol)
ncol = size (RHS, 2); indc = 1:ncol;
endif
elseif (~indc_was_set)
ncol = ncol - 1; indc = 1:ncol;
endif
if (~isempty (cname)) cname = cname(2:end); endif
if (~isempty (ctype)) ctype = ctype(2:end); endif
else
ridx = [];
endif
endif
if (size (RHS, 2) > df._cnt(2))
%# verify the the first row doesn't contain chars only, use them
%# for row names
dummy = cellfun ('class', ...
RHS(~cellfun ('isempty', RHS(:, 1)), 1), ...
'UniformOutput', false);
dummy = strcmp (dummy, 'char') ...
&& (~isempty (cname) && size (cname{1}, 2) < 1);
if (all (dummy))
if (length (df._over{1}) >= max (indr) ...
&& ~all (df._over{1}(indr)))
warning("Trying to overwrite row names");
else
rname = RHS(:, 1);
endif
rname_width = max ([1; cellfun('size', rname, 2)]);
RHS = RHS(:, 2:end);
if (length (df._name{2}) == df._cnt(2) + ncol)
%# columns name were pre-filled with too much values
df._name{2}(end) = [];
df._over{2}(end) = [];
if (size (RHS, 2) < ncol)
ncol = size (RHS, 2); indc = 1:ncol;
endif
elseif (~indc_was_set)
ncol = ncol - 1; indc = 1:ncol;
endif
if (~isempty (cname)) cname = cname(2:end); endif
if (~isempty (ctype)) ctype = ctype(2:end); endif
endif
endif
endif
endif
%# perform row resizing if columns are already filled
if (~isempty (indr) && isnumeric(indr))
if (max (indr) > df._cnt(1) && size (df._data, 2) == df._cnt(2))
df = df_pad (df, 1, max (indr)-df._cnt(1), rname_width);
endif
endif
if (iscell (RHS)) %# we must pad on a column-by-column basis
%# verify that each cell contains a non-empty vector, and that sizes
%# are compatible
%# dummy = cellfun ('size', RHS(:), 2);
%# if any (dummy < 1),
%# error("cells content may not be empty");
%# endif
%# dummy = cellfun ('size', RHS, 1);
%# if any (dummy < 1),
%# error("cells content may not be empty");
%# endif
%# if any (diff(dummy) > 0),
%# error("cells content with unequal length");
%# endif
%# if 1 < size (RHS, 1) && any (dummy > 1),
%# error("cells may only contain scalar");
%# endif
if (size (RHS, 2) > indc)
if (size (cname, 1) > indc)
ncol = size (RHS, 2); indc = 1:ncol;
else
if (debug_on_error ()) keyboard; endif
endif
endif
%# try to detect and remove bottom garbage
eff_len = zeros (nrow, 1);
if (size (RHS, 1) > 1)
for indi = (indr)
eff_len(indi, 1) = sum (~cellfun ('isempty', RHS(indi, :)));
endfor
indi = nrow;
while (indi > 0)
if (eff_len(indi) < 1)
nrow = nrow - 1;
indr(end) = [];
RHS(end, :) = [];
indi = indi - 1;
if (~indr_was_set && isempty (df._name{1, 1}))
df._cnt(1) = nrow;
df._ridx(end) = [];
endif
else
break;
endif
endwhile
clear eff_len;
endif
%# the real assignement
if (1 == size (RHS, 1)) %# each cell contains one vector
fillfunc = @(x) RHS{x};
idxOK = logical(indr);
else %# use cell2mat to pad on a column-by-column basis
fillfunc = @(x) cell2mat (RHS(:, x));
endif
indj = 1;
for indi = (1:ncol)
if (indc(indi) > df._cnt(2))
%# perform dynamic resizing one-by-one, to get type right
if (isempty (ctype) || length (ctype) < indc(indi))
df = df_pad (df, 2, indc(indi)-df._cnt(2), class (RHS{1, indj}));
else
df = df_pad (df, 2, indc(indi)-df._cnt(2), ctype{indj});
endif
endif
if (nrow == df._cnt(1))
%# whole assignement
try
if (size (RHS, 1) <= 1)
switch df._type{indc(indi)}
case {'char' } %# use a cell array to hold strings
dummy = cellfun (@num2str, RHS(:, indj), ...
'UniformOutput', false);
case {'double' }
dummy = fillfunc (indj);
otherwise
dummy = cast (fillfunc (indj), df._type{indc(indi)});
endswitch
else
%# keeps indexes in sync as cell elements may be empty
idxOK = ~cellfun ('isempty', RHS(:, indj));
%# intialise dummy so that it can receive "anything"
dummy = [];
switch (df._type{indc(indi)})
case {'char' } %# use a cell array to hold strings
dummy = cellfun (@num2str, RHS(:, indj), ...
'UniformOutput', false);
case {'double' }
dummy(idxOK, :) = fillfunc (indj); dummy(~idxOK, :) = NA;
otherwise
dummy(idxOK, :) = fillfunc (indj); dummy(~idxOK, :) = NA;
dummy = cast(dummy, df._type{indc(indi)});
endswitch
endif
catch
fprintf (2, "Something went wrong while converting colum %d\n", indj);
fprintf (2, "Error was: %s\n", lasterr ());
keyboard;
dummy = unique (cellfun (@class, RHS(:, indj), ...
'UniformOutput', false));
if (any (strmatch ("char", dummy, "exact")))
fprintf (2, "Downclassing to char\n");
%# replace the actual column, of type numeric, by a char
df._type{indc(indi)} = 'char';
dummy = RHS(:, indj);
for indk = (size (dummy, 1):-1:1)
if (~isa ("char", dummy{indk}))
if (isinteger (dummy{indk}))
dummy(indk) = mat2str (dummy{indk});
elseif (isa ("logical", dummy{indk}))
if (dummy{indk})
dummy(indk) = "true";
else
dummy{indk} = "false";
endif
elseif (isnumeric (dummy{indk}))
dummy(indk) = mat2str (dummy{indk}, 6);
endif
endif
endfor
else
dummy = ...
sprintf ("Assignement failed for colum %d, of type %s and length %d,\nwith new content\n%s", ...
indj, df._type{indc(indi)}, length (indr), disp (RHS(:, indj)));
keyboard
error (dummy);
endif
if (debug_on_error ()) keyboard; endif
end_try_catch
if (size (dummy, 1) < df._cnt(1))
dummy(end+1:df._cnt(1), :) = NA;
endif
else
%# partial assignement -- extract actual data and update
dummy = df._data{indc(indi)};
if (size (RHS, 1) > 0)
%# pad content
try
switch (df._type{indc(indi)})
case {'char' } %# use a cell array to hold strings
dummy(indr, 1) = cellfun(@num2str, RHS(:, indj), ...
'UniformOutput', false);
case {'double' }
dummy(indr, :) = fillfunc (indj);
otherwise
dummy(indr, :) = cast(fillfunc (indj), df._type{indc(indi)});
endswitch
catch
dummy = ...
sprintf ("Assignement failed for colum %d, of type %s and length %d,\nwith new content\n%s", ...
indj, df._type{indc(indi)}, length (indr), disp (RHS(:, indj)));
error (dummy);
end_try_catch
endif
endif
df._data{indc(indi)} = dummy; df._rep{indc(indi)} = 1:size (dummy, 2);
indj = indj + 1;
endfor
else
%# RHS is either a numeric, either a df
if (any (indc > min (size (df._data, 2), df._cnt(2))))
df = df_pad(df, 2, max (indc-min (size (df._data, 2), df._cnt(2))), ...
class(RHS));
endif
if (~isempty (inds) && isnumeric(inds) && any (inds > 1))
for indi = (1:ncol)
if (max (inds) > length (df._rep{indc(indi)}))
df = df_pad(df, 3, max (inds)-length (df._rep{indc(indi)}), ...
indc(indi));
endif
endfor
endif
if (isa (RHS, 'dataframe'))
%# block-copy index
S.subs(2) = 1;
if (any (~isna(RHS._ridx)))
df._ridx = feval(@subsasgn, df._ridx, S, RHS._ridx);
endif
%# skip second dim and copy data
S.subs(2) = []; Sorig = S;
for indi = (1:ncol)
[df, S] = df_cow(df, S, indc(indi));
if (strcmp (df._type(indc(indi)), RHS._type(indi)))
try
df._data{indc(indi)} = feval (@subsasgn, df._data{indc(indi)}, S, ...
RHS._data{indi}(:, RHS._rep{indi}));
catch
disp (lasterr ()); disp('line 445 ???'); keyboard
end_try_catch
else
df._data{indc(indi)} = feval (@subsasgn, df._data{indc(indi)}, S, ...
cast (RHS._data{indi}(:, RHS._rep{indi}),...
df._type(indc(indi))));
endif
S = Sorig;
endfor
if (~isempty (RHS._name{1}))
df._name{1}(indr) = genvarname(RHS._name{1}(indr));
df._over{1}(indr) = RHS._over{1}(indr);
endif
if (~isempty (RHS._src))
if (~any (strcmp (cellstr(df._src), cellstr(RHS._src))))
df._src = vertcat(df._src, RHS._src);
endif
endif
if (~isempty (RHS._cmt))
if (~any (strcmp (cellstr(df._cmt), cellstr(RHS._cmt))))
df._cmt = vertcat(df._cmt, RHS._cmt);
endif
endif
else
%# RHS is homogenous, pad at once
if (isvector (RHS)) %# scalar - vector
if (isempty (S.subs))
fillfunc = @(x, y) RHS;
else
%# ignore 'column' dimension -- force colum vectors -- use a
%# third dim just in case
if (isempty (S.subs{1})) S.subs{1} = ':'; endif
S.subs(2) = [];
if (length (S.subs) < 2)
S.subs{2} = 1;
endif
if (ncol > 1 && length (RHS) > 1)
%# set a row from a vector
fillfunc = @(x, S, y) feval (@subsasgn, x, S, RHS(y));
else
fillfunc = @(x, S, y) feval (@subsasgn, x, S, RHS);
endif
endif
Sorig = S;
for indi = (1:ncol)
try
lasterr('');
dummy= 'df_cow';
[df, S] = df_cow(df, S, indc(indi));
dummy = 'fillfunc';
df._data{indc(indi)} = fillfunc (df._data{indc(indi)}, S, indi);
S = Sorig;
catch
disp (lasterr ()); disp ('line 499 '); keyboard
end_try_catch
# catch
# if ndims(df._data{indc(indi)}) > 2,
# %# upstream forgot to give the third dim
# dummy = S; dummy.subs(3) = 1;
# df._data{indc(indi)} = fillfunc(df._data{indc(indi)}, \
# dummy, indi);
# else
# rethrow(lasterr());
# endif
# end_try_catch
endfor
else %# 2D - 3D matrix
S.subs(2) = []; %# ignore 'column' dimension
if (isempty (S.subs{1}))
S.subs{1} = indr;
endif
%# rotate slices in dim 1-3 to slices in dim 1-2
fillfunc = @(x, S, y) feval(@subsasgn, x, S, squeeze(RHS(:, y, :)));
Sorig = S;
for indi = (1:ncol)
[df, S] = df_cow(df, S, indc(indi));
df._data{indc(indi)} = fillfunc (df._data{indc(indi)}, S, indi);
S = Sorig;
endfor
endif
if (indi < size (RHS, 2) && ~isa (RHS, 'char'))
warning (' not all columns of RHS used');
endif
endif
endif
%# delayed row padding -- column padding occured before
if (~isempty (indr) && isnumeric (indr))
if (max (indr) > df._cnt(1) && size (df._data, 2) < df._cnt(2))
df = df_pad(df, 1, max (indr)-df._cnt(1), rname_width);
endif
endif
%# adjust ridx and rnames, if required
if (~isempty (ridx))
dummy = df._ridx;
if (1 == size (RHS, 1))
dummy(indr) = ridx{1};
else
dummy(indr) = vertcat(ridx{indr});
endif
if (length (unique (dummy)) ~= length (dummy)) %# || ...
%# any (diff(dummy) <= 0),
error("row indexes are not unique or not ordered");
endif
df._ridx = dummy;
endif
if (~isempty (rname) && (length (df._over{1}) < max (indr) || ...
all (df._over{1}(indr))))
df._name{1}(indr, 1) = genvarname(rname);
df._over{1}(1, indr) = false;
endif
if (~isempty (cname) && (length (df._over{2}) < max (indc) || ...
all (df._over{2}(indc))))
if (length (cname) < ncol)
cname(end+1:ncol) = {'_'};
endif
cname(cellfun (@isempty, cname)) = 'unnamed';
try
df._name{2}(indc, 1) = genvarname (cname);
catch
%# there was a problem with genvarname.
dummy = sum (~cellfun ('isempty', cname));
if (1 == dummy)
dummy = strsplit(cname{1}, ' ', true);
if (length (dummy) == ncol)
df._name{2}(indc, 1) = dummy;
else
disp ('line 575 '); keyboard
endif
else
disp ('line 578 '); keyboard
endif
end_try_catch
df._over{2}(1, indc) = false;
endif
df = df_thirddim (df);
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_name2idx.m 0000644 0000000 0000000 00000011540 12427233641 020601 0 ustar 0000000 0000000 function [idx, nelem, subs, mask] = df_name2idx(names, subs, count, dimname, missingOK=false);
%# This is a helper routine to translate rownames or columnames into
%# real index. Input: names, a char array, and subs, a cell array as
%# produced by subsref and similar. This routine can also detect
%# ranges, two values separated by ':'. On output, subs is
%# 'sanitised' from names, and is either a vector, either a single ':'
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
%# regexp idea of 'word boundary' changed between 3.6 and 3.7
persistent wbs wbe;
if (isempty (wbs))
if (isempty ( regexp ('This is a test', '\')))
[wbs, wbe] = deal ('\b');
else
wbs = '\<'; wbe = '\>';
endif
endif
if (isempty (subs))
%# not caring about rownames ? Avoid generating an error.
idx = []; nelem = 0; return
endif
if (isa (subs, 'char')),
orig_name = subs;
if (1 == size (subs, 1))
if (strcmp(subs, ':')) %# range operator
idx = 1:count; nelem = count;
return
endif
endif
subs = cellstr (subs);
else
if (~isvector(subs))
%# yes/no ?
%# error("Trying to access column as a matrix");
endif
switch (class (subs))
case {"cell"}
orig_name = char (subs);
case {"dataframe"}
orig_name = "elements indexed by a dataframe";
otherwise
orig_name = num2str (subs);
endswitch
endif
if (isa (subs, 'cell'))
subs = subs(:); idx = []; mask = logical (zeros (size (subs, 1), 1));
%# translate list of variables to list of indices
for indi = (1:size (subs, 1))
%# regexp doesn't like empty patterns
if (isempty (subs{indi})) continue; endif
%# convert from standard pattern to regexp pattern
subs{indi} = regexprep (subs{indi}, '([^\.\\])(\*|\?)', "$1.$2");
%# quote repetition ops at begining of line, otherwise the regexp
%# will stall forever/fail
subs{indi} = regexprep (subs{indi}, ...
'^([\*\+\?\{\}\|])', "\\$1");
%# detect | followed by EOL
subs{indi} = regexprep (subs{indi}, '([^\\])\|$', "$1\\|");
if (0 == index (subs{indi}, ':'))
%# if there's no special operator, make match strict
if (isempty (regexp (subs{indi}, '[\.\*\+\?\{\}\(\)\[\]\^\$\\]')))
subs{indi} = [wbs subs{indi} wbe];
endif
for indj = (1:min (length (names), count)) %# sanity check
if (~isempty (regexp (names{indj}, subs{indi})))
idx = [idx indj]; mask(indi) = true; dummy = true;
endif
endfor
else
dummy = strsplit (subs{indi}, ':');
ind_start = 1;
if (~isempty (dummy{1}))
ind_start = sscanf (dummy{1}, "%d");
if (isempty (ind_start))
ind_start = 1;
for indj = (1:min(length (names), count)) %# sanity check
if (~isempty (regexp (names{indj}, subs{indi}))),
ind_start = indj; break; %# stop at the first match
endif
endfor
endif
endif
if (isempty (dummy{2}) || strcmp (dummy{2}, 'end'))
ind_stop = count;
else
ind_stop = sscanf(dummy{2}, "%d");
if (isempty (ind_stop))
ind_stop = 1;
for indj = (min (length (names), count):-1:1) %# sanity check
if (~isempty (regexp (names{indj}, subs{indi})))
ind_stop = indj; break; %# stop at the last match
endif
endfor
endif
endif
idx = [idx ind_start:ind_stop];
endif
endfor
if (isempty (idx) && ~missingOK)
dummy = sprintf ("Unknown %s name while searching for %s", ...
dimname, orig_name);
error (dummy);
endif
elseif (isa (subs, 'logical'))
idx = 1:length (subs(:)); idx = reshape (idx, size (subs));
idx(~subs) = []; mask = subs;
elseif (isa (subs, 'dataframe'))
idx = subsindex (subs, 1);
else
idx = subs;
endif
subs = idx;
nelem = length (idx);
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_pad.m 0000644 0000000 0000000 00000016475 12427233641 017652 0 ustar 0000000 0000000 function df = df_pad(df, dim, n, coltype=[])
%# function resu = df_pad(df, dim, n, coltype = [])
%# given a dataframe, insert n rows or columns, and adjust everything
%# accordingly. Coltype is a supplemental argument:
%# dim = 1 => not used
%# dim = 2 => type of the added column(s)
%# dim = 3 => index of columns receiving a new sheet (default: all)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
switch dim
case 1
if (~isempty (df._name{1})),
if (length (df._name{1}) < df._cnt(1)+n)
%# generate a name for the new row(s)
df._name{1}(df._cnt(1)+(1:n), 1) = {'_'};
df._over{1}(1, df._cnt(1)+(1:n), 1) = true;
endif
endif
%# complete row indexes: by default, row number.
if (isempty (df._ridx))
dummy = (1:n)(:);
else
dummy = vertcat (df._ridx, repmat (size (df._ridx, 1)+(1:n)(:), ...
1, size (df._ridx, 2)));
endif
df._ridx = dummy;
%# pad every line
for indi = (1:min (size (df._data, 2), df._cnt(2)))
neff = n + df._cnt(1) - size (df._data{indi}, 1);
if (neff > 0)
m = max(1, size (df._data{indi}, 2));
switch df._type{indi}
case {'char'}
dummy = {}; dummy(1:neff, 1:m) = NA;
dummy = vertcat (df._data{indi}, dummy);
case { 'double'}
dummy = vertcat (df._data{indi}, repmat (NA, neff, m));
%# there is no 'NA' with logical values, avoid casting error
case {'logical'}
dummy = vertcat (df._data{indi}, repmat (false, neff, m));
otherwise
dummy = cast (vertcat (df._data{indi}, repmat (NA, neff, m)), ...
df._type{indi});
endswitch
df._data{indi} = dummy;
if (isempty (df._rep{indi}))
df._rep{indi} = 1;
endif
endif
endfor
df._cnt(1) = df._cnt(1) + n;
case 2
%# create new columns
if (isempty (coltype))
error ("df_pad: dim equals 2, and coltype undefined");
endif
if (length (n) > 1) %#second value is an offset
indc = n(2); n = n(1);
if (indc < df._cnt(2)),
%# shift to the right
df._name{2}(n + (indc+1:end)) = df._name{2}(indc+1:end);
df._over{2}(n + (indc+1:end)) = df._over{2}(indc+1:end);
dummy = cstrcat (repmat ('_', n, 1), ...
strjust (num2str(indc + (1:n).'), 'left'));
df._name{2}(indc + (1:n)) = cellstr (dummy);
df._over{2}(indc + (1:n)) = true;
df._type(n+(indc+1:end)) = df._type(indc+1:end);
df._type(indc + (1:n)) = NA;
df._data(n + (indc+1:end)) = df._data(indc+1:end);
df._rep(n + (indc+1:end)) = df._rep(indc+1:end);
df._data(indc + (1:n)) = NA;
df._rep(indc + (1:n)) = 1;
endif
else
%# add new values after the last column
indc = min (size (df._data, 2), df._cnt(2));
endif
if (~isa (coltype, 'cell')) coltype = {coltype}; endif
if (isscalar (coltype) && n > 1)
coltype = repmat (coltype, 1, n);
endif
for indi = (1:n)
switch coltype{indi}
case {'char'}
dummy = {repmat(NA, df._cnt(1), 1) };
dummy(:, 1) = '_';
case { 'double'}
dummy = repmat (NA, df._cnt(1), 1);
case {'logical'} %# there is no NA in logical type
dummy = repmat (false, df._cnt(1), 1);
otherwise
try
dummy = cast (repmat (NA, df._cnt(1), 1), coltype{indi});
catch
%# There was an issue -- transfer coltype to data
if (indc+indi > df._cnt(2))
dummy = {coltype{indi}}; coltype{indi} = 'char';
if (df._cnt(1) < 1)
%# nothing defined yet -- pad with one line
df._type{indc+indi} = coltype{indi};
df = df_pad (df, 1, 1);
endif
else
dummy = sprintf ("Trying to change type of column %d, which was %s, to %s", ...
indc+indi, df._type{indi}, coltype{indi});
error (dummy);
endif
end_try_catch
endswitch
df._data{indc+indi} = dummy;
df._rep{indc+indi} = 1;
df._type{indc+indi} = coltype{indi};
endfor
if (size (df._data, 2) > df._cnt(2)),
df._cnt(2) = size (df._data, 2);
endif
if (length (df._name{2}) < df._cnt(2)),
%# generate a name for the new column(s)
dummy = cstrcat (repmat ('_', n, 1), ...
strjust (num2str (indc + (1:n).'), 'left'));
df._name{2}(indc + (1:n)) = cellstr (dummy);
df._over{2}(1, indc + (1:n)) = true;
endif
case 3
if (n <= 0) return; endif
if (isempty (coltype)),
coltype = 1:df._cnt(2);
endif
dummy = max (n+cellfun (@length, df._rep(coltype)));
if (size (df._ridx, 2) < dummy),
df._ridx(:, end+1:dummy) = NA;
endif
for indi = (coltype)
switch df._type{indi}
case {'char'}
if (isa (df._data{indi}, 'char')) %# pure char
dummy = horzcat (df._data{indi}(:, df._rep{indi}), ...
repmat({NA}, df._cnt(1), 1));
keyboard
else
dummy = horzcat (df._data{indi}(:, df._rep{indi}), ...
repmat({NA}, df._cnt(1), 1));
endif
case {'double'}
dummy = horzcat (df._data{indi}(:, df._rep{indi}), ...
repmat (NA, df._cnt(1), 1));
case {'logical'}
%# there is no logical 'NA' -- fill empty elems with false
dummy = horzcat (df._data{indi}(:, df._rep{indi}), ...
repmat (false, df._cnt(1), 1));
otherwise
dummy = cast (horzcat (df._data{indi}(:, df._rep{indi}), ...
repmat (NA, df._cnt(1), 1)), ...
df._type{indi});
endswitch
df._data{indi} = dummy;
df._rep{indi} = [df._rep{indi} length(df._rep{indi})+ones(1, n)];
try
assert (size(df._data{indi}, 2), max(df._rep{indi}))
catch
keyboard
end_try_catch
endfor
df = df_thirddim (df);
otherwise
error ('Invalid dimension in df_pad');
endswitch
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_strjust.m 0000644 0000000 0000000 00000002242 12427233641 020607 0 ustar 0000000 0000000 function [a, b] = df_strjust(a, b)
%# small auxiliary function: make two char arrays the same width
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
indi = size (a, 2) - size (b, 2);
if (indi < 0)
a = horzcat (repmat (' ', size (a, 1), -indi), a);
elseif indi > 0,
b = horzcat (repmat (' ', size (b, 1), indi), b);
endif
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_strset.m 0000644 0000000 0000000 00000004717 12427233641 020426 0 ustar 0000000 0000000 function [x, over] = df_strset(x, over, S, RHS, pad = ' ')
%# x = df_strset(x, over, S, RHS, pad = " ")
%# replaces the strings in cellstr x at indr by strings at y. Adapt
%# the width of x if required. Use x 'over' attribute to display a
%# message in case strings are overwritten.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
%# adjust x size, if required
if (isnull (RHS))
%# clearing
if (isempty (S))
x = cell (0, 1); over = zeros (1, 0);
return
endif
dummy = S; dummy(1).subs(2:end) = [];
over = builtin ('subsasgn', over, dummy, true);
else
if (isempty (S)) %# complete overwrite
if (ischar (RHS)) RHS = cellstr (RHS); endif
nrow = length (RHS);
if (any(~over(nrow)))
warning ('going to overwrite names');
endif
x(1:nrow) = RHS;
over(1:nrow) = false;
if (nrow < length (x))
x(nrow+1:end) = {pad};
endif
return
else
dummy = S(1); dummy.subs(2:end) = []; % keep first dim only
if (any (~builtin ('subsref', over, dummy)))
warning ('going to overwrite names');
endif
over = builtin ('subsasgn', over, dummy, false);
endif
endif
%# common part
if (ischar (RHS) && length (S(1).subs) > 1)
%# partial accesses to a char array
dummy = char (x);
dummy = builtin ('subsasgn', dummy, S, RHS);
if (isempty(dummy))
x = cell (0, 1); over = zeros (1, 0);
return
endif
if (size (dummy, 1) == length (x))
x = cellstr (dummy);
return
endif
%# partial clearing gone wrong ? retry
RHS = { RHS };
endif
x = builtin ('subsasgn', x, S, RHS);
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_thirddim.m 0000644 0000000 0000000 00000002342 12427233641 020676 0 ustar 0000000 0000000 function [df] = df_thirddim(df)
%# function [resu] = df_thirddim(df)
%# This is a small helper function which recomputes the third dim each
%# time a change may have occured.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
%# sanity check
dummy = max (cellfun (@length, df._rep));
if (dummy ~= 1),
df._cnt(3) = dummy;
elseif (length (df._cnt) > 2),
df._cnt = df._cnt(1:2);
endif
endfunction
dataframe-1.1.0/inst/@dataframe/private/df_whole.m 0000644 0000000 0000000 00000003146 12427233641 020213 0 ustar 0000000 0000000 function resu = df_whole(df);
%# function resu = df_whole(df)
%# Generate a full matrix from a column-compressed version of a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
inds = max (cellfun (@length, df._rep));
resu = df._data{1}(:, df._rep{1});
if (inds > 1)
resu = reshape (resu, df._cnt(1), 1, []);
if (1 == size (resu, 3))
resu = repmat (resu, [1 1 inds]);
endif
endif
if (df._cnt(2) > 1)
resu = repmat (resu, [1 df._cnt(2)]);
for indi = (2:df._cnt(2))
dummy = df._data{indi}(:, df._rep{indi});
if (inds > 1)
dummy = reshape (dummy, df._cnt(1), 1, []);
if (1 == size (dummy, 3)),
dummy = repmat (dummy, [1 1 inds]);
endif
endif
resu(:, indi, :) = dummy;
endfor
endif
endfunction
dataframe-1.1.0/inst/@dataframe/private/strsplit.m 0000644 0000000 0000000 00000010010 12427233641 020274 0 ustar 0000000 0000000 ## Copyright (C) 2009-2012 Jaroslav Hajek
##
## This file is part of Octave.
##
## Octave 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 of the License, or (at
## your option) any later version.
##
## Octave 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 Octave; see the file COPYING. If not, see
## .
##
## FIXME: this file is here to avoid conflicts with new Octave versions. Matlab
## has recently added strplit function (used to exist in Octave only) but
## their syntax is not compatible with ours. Rather than timing the
## release of each octave forge package that used strsplit, a copy of the
## old version was placed as private. Once the new Octave version is
## released, this file can be removed, and the calls to strsplit fixed.
## -*- texinfo -*-
## @deftypefn {Function File} {[@var{cstr}] =} strsplit (@var{s}, @var{sep})
## @deftypefnx {Function File} {[@var{cstr}] =} strsplit (@var{s}, @var{sep}, @var{strip_empty})
## Split the string @var{s} using one or more separators @var{sep} and return
## a cell array of strings. Consecutive separators and separators at
## boundaries result in empty strings, unless @var{strip_empty} is true.
## The default value of @var{strip_empty} is false.
##
## 2-D character arrays are split at separators and at the original column
## boundaries.
##
## Example:
##
## @example
## @group
## strsplit ("a,b,c", ",")
## @result{}
## @{
## [1,1] = a
## [1,2] = b
## [1,3] = c
## @}
##
## strsplit (["a,b" ; "cde"], ",")
## @result{}
## @{
## [1,1] = a
## [1,2] = b
## [1,3] = cde
## @}
## @end group
## @end example
## @seealso{strtok}
## @end deftypefn
function cstr = strsplit (s, sep, strip_empty = false)
if (nargin < 2 || nargin > 3)
print_usage ();
elseif (! ischar (s) || ! ischar (sep))
error ("strsplit: S and SEP must be string values");
elseif (! isscalar (strip_empty))
error ("strsplit: STRIP_EMPTY must be a scalar value");
endif
if (isempty (s))
cstr = cell (size (s));
else
if (rows (s) > 1)
## For 2-D arrays, add separator character at line boundaries
## and transform to single string
s(:, end+1) = sep(1);
s = reshape (s.', 1, numel (s));
s(end) = [];
endif
## Split s according to delimiter
if (isscalar (sep))
## Single separator
idx = find (s == sep);
else
## Multiple separators
idx = strchr (s, sep);
endif
## Get substring lengths.
if (isempty (idx))
strlens = length (s);
else
strlens = [idx(1)-1, diff(idx)-1, numel(s)-idx(end)];
endif
## Remove separators.
s(idx) = [];
if (strip_empty)
## Omit zero lengths.
strlens = strlens(strlens != 0);
endif
## Convert!
cstr = mat2cell (s, 1, strlens);
endif
endfunction
%!assert (strsplit ("road to hell", " "), {"road", "to", "hell"})
%!assert (strsplit ("road to^hell", " ^"), {"road", "to", "hell"})
%!assert (strsplit ("road to--hell", " -", true), {"road", "to", "hell"})
%!assert (strsplit (["a,bc";",de"], ","), {"a", "bc", char(ones(1,0)), "de "})
%!assert (strsplit (["a,bc";",de"], ",", true), {"a", "bc", "de "})
%!assert (strsplit (["a,bc";",de"], ", ", true), {"a", "bc", "de"})
%% Test input validation
%!error strsplit ()
%!error strsplit ("abc")
%!error strsplit ("abc", "b", true, 4)
%!error strsplit (123, "b")
%!error strsplit ("abc", 1)
%!error strsplit ("abc", "def", ones (3,3))
dataframe-1.1.0/inst/@dataframe/prod.m 0000644 0000000 0000000 00000002015 12427233641 015710 0 ustar 0000000 0000000 function resu = prod(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (~isa (df, 'dataframe'))
resu = []; return;
endif
resu = df_mapper2 (@prod, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/rationale.txt 0000644 0000000 0000000 00000012243 12427233641 017311 0 ustar 0000000 0000000 1) Context
I was recently performing I-V measurements of a MOS
(Metal-Oxide-Semiconductor) structure. A full set of measurements
contained a DC biaising voltage, a AC frequency, a small signal
capacitance and conductance. I had to change a few times the
measurement device configuration, so sometimes the sweeping occured
first on frequency, then on voltage, sometimes in the reverse
order. To make it short, I had to deal with many input files with
inconsistent columns order. The code to identify this order quickly
became clumsy.
The idea of a dataframe is to implement a mix between matrix and
cells. Its' like a matrix, where each column contains elements of the
same type. Unlike a matrix, columns type may be dissimilar. Also,
each colum MUST have a name, and rows MAY have a name. Moreover, to
make it easy to interface with databases, each row must have an unique
identifier. The goal is to make possible to use constructs like
y(:, ["Fr*"; "VB*"; "C";"G"])
where y is the dataframe, and column selection is based on
regexp. This way, the translation between names and indexes uses all
the power of regexpes.
2) Implementation
a dataframe is a class containing the following members:
_cnt = [0 0] : row count, column count, ... nth dimension count
_name = cell(1, 2) : row names, column names, ...
_ridx = [] : a unique Id for each row
_data = cell(0, 0) : a container for each column
_type = cell(0, 0) : the type of each column
The constructor can be used as
- no argument: convert the whole workspace to a dataframe (TBD)
- one null argument: return an empty dataframe
- one numeric or cell argument: transform it to a dataframe; tries to
infer column names from the name of the input argument.
- one char array with more than one line: uses it as rownames
- one single line char array: take it as the name of a file to read
data from. Expected format is csv, try to be carefull with
quoted/unquoted strings, also tries to remove trailing and leading
spaces from string entries. Do not try to cope with things such as
separator INSIDE quoted strings.
-supplemental arguments may occur either as pairs (string, value),
either as vectors. In the first case, the string contains an optional
parameter whose value is contained in the next argument. In the
second case, the argument is right-appended to the dataframe. Valid
optional parameters are
- rownames: a character array with the row names
- unquot: a logical to indicate if strings must be unquoted, default=true
- seeked: a string which must occur in the first row to start
considering values. Previous lines are skipped.
3) Access (reading)
- like a single matrix: df(:, 3); df(3, :). If all the results are of
the same type, returns a matrix, otherwise a dataframe. This behavior
can be inhibited by having the last argument set to 'dataframe':
df(3, 3, 'dataframe') will return a one-by-one dataframe
- by columnames:
df(:, ["Fr*"; "VB*"; "C";])
will try to match a columname beginning by "F" followed by an
optional 'r', thus 'F', 'Fréquence' and 'Freqs'; then a columname
starting by "V" with an optional "B", like f.i. "VBias", then a
columname with is the exact string 'C'.
- by rownames: same principle
- either member selector may also be logical:
df(df.OK=='A', ['C';'G'])
- as a struct: either use one of the column name (df.C), either use
one of the allowed accessor for internal fields: "rownames",
"colnames", "rowcnt", "colcnt", "rowidx", "types". Direct access to
the members like y._type is allowed, but should be restricted to
class members and friends. "types" accept both numeric and strings
arguments, the latter being converter to column order based upon
columns name.
- as a cell: TODO: define how to fill the cell array with all the
fields.
4) Modifying
- as a matrix, using '()': use the same syntax as reading:
df(3, 'Fr*') = 200
df(df.OK=='?', ['C'; 'G']) = NaN;
Note that removing elements may only occur on a full row of colum
basis. Removing a single element is not allowed.
- as a struct: either access a columname, as
df.C = [];
either accessing the internal fields through entry points 'rownames'
and 'colnames', where care is taken to adapt the strings width in
order to make them compatibles. The entry point "types", with
arguments numeric or strings, has the effect to cast whole column(s)
to a new type:
df.types{[3 5]} = 'uint16'
df.type{"Freq"} = "uint32"
- as a cell: TBD
5) other overloaded functions: display, size, numel, cat. The latter
has to be thoroughfully tested. In particular, I've put the
restriction that horizontal cat requires that the row indexes are the
same for both elems. For vertical cat, how should we proceed ? Require
uniqueness of row indexes, and sorting ? Other ?
6) to be done:
- the 'load' function is in fact contained inside the constructor;
maybe we should have a specific load function ?
- be able to load a dataframe from a URI specification
- write a simple 'save' function
- adding data to a dataframe: R doesn't seems to allow adding rows
to a data.frame, should we follow it ?
- add test cases
- implement a 'factor' class for categorised data
- make all functions below statistics/ dataframe compatible
Pascal Dupuis
Louvain-la-Neuve, July First, 2010.
dataframe-1.1.0/inst/@dataframe/rdivide.m 0000644 0000000 0000000 00000002256 12427233641 016401 0 ustar 0000000 0000000 function resu = rdivide(A, B);
%# function resu = rdivide(A, B)
%# Implements the dotted '\' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
try
resu = df_func(@rdivide, A, B);
catch
disp(lasterr());
error("Operator ./ problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe-1.1.0/inst/@dataframe/real.m 0000644 0000000 0000000 00000001713 12427233641 015673 0 ustar 0000000 0000000 function resu = real(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@real, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/repmat.m 0000644 0000000 0000000 00000004000 12427233641 016230 0 ustar 0000000 0000000 function resu = repmat(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df; idx = horzcat (varargin{:});
%# for the second dim, use either 1 either the 3rd one
dummy = idx;
if (length (dummy) > 2)
dummy(2) = [];
else
dummy(2) = 1;
endif
%# operate on first dim
if (idx(1) > 1)
resu = df_mapper (@repmat, df, [idx(1) 1]);
if (~isempty (df._name{1})),
resu._name{1} = feval (@repmat, df._name{1}, [idx(1) 1]);
resu._over{1} = feval (@repmat, df._over{1}, [idx(1) 1]);
endif
resu._cnt(1) = resu._cnt(1) * idx(1);
endif
if (dummy(2) > 1)
for indi = (1:resu._cnt(2))
resu._rep{indi} = feval (@repmat, resu._rep{indi}, [1 dummy(2)]);
endfor
endif
%# operate on ridx
resu._ridx = feval (@repmat, resu._ridx, idx);
%# operate on second dim
if (length (idx) > 1 && idx(2) > 1)
resu._data = feval (@repmat, resu._data, [1 idx(2)]);
resu._name{2} = feval (@repmat, df._name{2}, [idx(2) 1]);
resu._over{2} = feval (@repmat, df._over{2}, [1 idx(2)]);
resu._type = feval (@repmat, df._type, [1 idx(2)]);
resu._cnt(2) = resu._cnt(2) * idx(2);
endif
resu = df_thirddim (resu);
endfunction
dataframe-1.1.0/inst/@dataframe/reshape.m 0000644 0000000 0000000 00000002170 12427233641 016375 0 ustar 0000000 0000000 function resu = reshape(df, varargin)
%# function resu = reshape(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
dummy = horzcat (varargin{:});
if (any (dummy ~= df._cnt)),
error ('Function not yet implemented on dataframe');
else
resu = df; %# blank operation
endif
endfunction
dataframe-1.1.0/inst/@dataframe/round.m 0000644 0000000 0000000 00000001715 12427233641 016101 0 ustar 0000000 0000000 function resu = round(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@round, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/roundb.m 0000644 0000000 0000000 00000001717 12427233641 016245 0 ustar 0000000 0000000 function resu = roundb(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@roundb, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/rows.m 0000644 0000000 0000000 00000001770 12427233641 015745 0 ustar 0000000 0000000 function resu = rows(df)
%# function resu = rows(df)
%# returns the number of rows of a dataframe
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df._cnt(1);
endfunction
dataframe-1.1.0/inst/@dataframe/signum.m 0000644 0000000 0000000 00000001717 12427233641 016256 0 ustar 0000000 0000000 function resu = signum(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@signum, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/sin.m 0000644 0000000 0000000 00000001711 12427233641 015537 0 ustar 0000000 0000000 function resu = sin(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@sin, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/sinh.m 0000644 0000000 0000000 00000001713 12427233641 015711 0 ustar 0000000 0000000 function resu = sinh(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@sinh, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/size.m 0000644 0000000 0000000 00000004744 12427233641 015731 0 ustar 0000000 0000000 function varargout = size(df, varargin)
%# function resu = size(df, varargin)
%# This is size operator for a dataframe object.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
switch nargin
case 1
switch nargout
case {0, 1}
varargout{1} = df._cnt;
case {2}
varargout{1} = df._cnt(1);
if (1 == df._cnt(2) && length (df._cnt) > 2)
varargout{2} = df._cnt(3);
else
varargout{2} = df._cnt(2);
endif
case {3}
varargout{1:2} = df._cnt(1:2);
if (2 == length (df._cnt))
varargout{3} = 1;
else
varargout{3} = df._cnt(3);
endif
otherwise
error (print_usage ());
endswitch
case 2
switch nargout
case {0 1}
varargout{1} = df._cnt;
try
varargout{1} = varargout{1}(varargin{1});
catch
error (print_usage ());
end_try_catch
otherwise
error (print_usage ());
endswitch
case 3
switch nargout
case {0 1}
if (length (df._cnt) < 3),
varargout{1} = 1;
else
varargout{1} = df._cnt;
endif
try
varargout{1} = varargout{1}(varargin{1});
catch
error (print_usage ());
end_try_catch
otherwise
error (print_usage ());
endswitch
otherwise
error (print_usage ());
endswitch
endfunction
function usage = print_usage()
usage = strcat ('Invalid call to size. Correct usage is: ', ' ', ...
'-- Overloaded Function: size (A, N)');
endfunction
dataframe-1.1.0/inst/@dataframe/sort.m 0000644 0000000 0000000 00000011025 12427233641 015734 0 ustar 0000000 0000000 function [resu, idx] = sort(df, varargin)
%# -*- texinfo -*-
%# @deftypefn {Loadable Function} {[@var{s}, @var{i}] =} sort (@var{x})
%# @deftypefnx {Loadable Function} {[@var{s}, @var{i}] =} sort (@var{x}, @var{dim})
%# @deftypefnx {Loadable Function} {[@var{s}, @var{i}] =} sort (@var{x}, @var{mode})
%# @deftypefnx {Loadable Function} {[@var{s}, @var{i}] =} sort (@var{x}, @var{dim}, @var{mode})
%# Return a copy of @var{x} with the elements arranged in increasing
%# order. For matrices, @code{sort} orders the elements in each column.
%#
%# For example:
%#
%# @example
%# @group
%# sort ([1, 2; 2, 3; 3, 1])
%# @result{} 1 1
%# 2 2
%# 3 3
%#
%# @end group
%# @end example
%#
%# The @code{sort} function may also be used to produce a matrix
%# containing the original row indices of the elements in the sorted
%# matrix. For example:
%#
%# @example
%# @group
%# [s, i] = sort ([1, 2; 2, 3; 3, 1])
%# @result{} s = 1 1
%# 2 2
%# 3 3
%# @result{} i = 1 3
%# 2 1
%# 3 2
%# @end group
%# @end example
%#
%# If the optional argument @var{dim} is given, then the matrix is sorted
%# along the dimension defined by @var{dim}. The optional argument @code{mode}
%# defines the order in which the values will be sorted. Valid values of
%# @code{mode} are `ascend' or `descend'.
%#
%# For equal elements, the indices are such that the equal elements are listed
%# in the order that appeared in the original list.
%#
%# The @code{sort} function may also be used to sort strings and cell arrays
%# of strings, in which case the dictionary order of the strings is used.
%#
%# The algorithm used in @code{sort} is optimized for the sorting of partially
%# ordered lists.
%# @end deftypefn
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (~isa (df, 'dataframe'))
resu = []; return;
endif
dim = []; mode = [];
vout= varargin;
indi = 1; while (indi <= length (varargin))
if (isnumeric (varargin{indi}))
if (~isempty (dim))
print_usage ('@dataframe/sort');
resu = [];
return
else
dim = varargin{indi};
if (3 == dim) vout(indi) = 2; endif
endif
else
if (~isempty (mode))
print_usage ('@dataframe/sort');
resu = [];
return
else
sort = varargin{indi};
endif
endif
indi = indi + 1;
endwhile;
if (isempty (dim)) dim = 1; endif;
%# pre-assignation
resu = struct (df);
switch(dim)
case {1}
for indi = (1:resu._cnt(2))
[resu._data{indi}, idx(:, indi, :)] = sort ...
(resu._data{indi}(:, resu._rep{indi}), varargin{:});
resu._data{indi} = squeeze (resu._data{indi});
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
if (all ([1 == size(idx, 2) 1 == size(idx, 3)]))
if (size (resu._ridx, 1) == resu._cnt(1))
resu._ridx = resu._ridx(idx, :);
endif
if (~isempty (resu._name{1, 1}))
resu._name{1, 1} = resu._name{1, 1}(idx);
resu._over{1, 1} = resu._over{1, 1}(idx);
endif
else
%# data where mixed
resu._ridx = idx;
resu._name{1, 1} = []; resu._over{1, 1} = [];
endif
case {2}
error ('Operation not implemented');
case {3}
for indi = (1:resu._cnt(2))
[resu._data{1, indi}, idx(:, indi)] = sort (resu._data{1, indi}, vout(:));
endfor
otherwise
error ("Invalid dimension %d", dim);
endswitch
dummy = dbstack ();
if (any (strmatch ('quantile', {dummy.name})))
resu = df_whole (resu);
else
resu = dataframe (resu);
endif
endfunction
dataframe-1.1.0/inst/@dataframe/sqrt.m 0000644 0000000 0000000 00000001713 12427233641 015741 0 ustar 0000000 0000000 function resu = sqrt(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@sqrt, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/subsasgn.m 0000644 0000000 0000000 00000017454 12427233641 016606 0 ustar 0000000 0000000 function df = subsasgn(df, S, RHS)
%# function df = subsasgn(df, S, RHS)
%# This is the assignement operator for a dataframe object, taking
%# care of all the housekeeping of meta-info.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (isnull (df))
error ('dataframe subsasgn: first argument may not be empty');
endif
switch (S(1).type)
case '{}'
error ('Invalid dataframe as cell assignement');
case '.'
%# translate the external to internal name
switch (S(1).subs)
case "rownames"
if (~isnull (RHS) && isempty (df._name{1}))
df._name{1}(1:df._cnt(1), 1) = {''};
df._over{1}(1, 1:df._cnt(1)) = true;
endif
[df._name{1}, df._over{1}] = df_strset ...
(df._name{1}, df._over{1}, S(2:end), RHS);
return
case "rowidx"
if (1 == length (S))
df._ridx = RHS;
else
df._ridx = feval (@subsasgn, df._ridx, S(2:end), RHS);
endif
return
case "colnames"
if (isnull(RHS)) error ("Colnames can't be nulled"); endif
[df._name{2}, df._over{2}] = df_strset ...
(df._name{2}, df._over{2}, S(2:end), RHS, '_');
df._name{2} = genvarname (df._name{2});
return
case "types"
if (isnull(RHS)) error("Types can't be nulled"); endif
if (1 == length (S))
%# perform explicit cast on each column
switch (RHS)
case {'char'}
for indj = (1:df._cnt(2))
if (isnumeric (df._data{indj}) || islogical (df._data{indj}))
df._data(indj) = cellfun (@(x) cellstr (num2str(x, "%f")), ...
df._data(indj),
"UniformOutput", false);
endif
endfor
otherwise
df._data = cellfun (@(x) cast (x, RHS), df._data,
"UniformOutput", false);
endswitch
df._data = cellfun (@(x) cast (x, RHS), df._data,
"UniformOutput", false);
df._type(1:end) = RHS;
else
if (~strcmp (S(2).type, '()'))
error ("Invalid internal type sub-access, use () instead");
endif
if (length (S) > 2 || length (S(2).subs) > 1)
error("Types can only be changed as a whole");
endif
if (~isnumeric(S(2).subs{1}))
[indj, ncol, S(2).subs{1}] = df_name2idx ...
(df._name{2}, S(2).subs{1}, df._cnt(2), 'column');
else
indj = S(2).subs{1}; ncol = length (indj);
endif
switch (RHS)
case {'char'}
if (isnumeric (df._data{indj}) || islogical (df._data{indj}))
df._data(indj) = cellfun (@(x) cellstr (num2str(x, "%f")), ...
df._data(indj),
"UniformOutput", false);
endif
otherwise
df._data(indj) = cellfun (@(x) cast (x, RHS), df._data(indj),
"UniformOutput", false);
endswitch
df._type(indj) = {RHS};
endif
return
case "source"
if (length (S) > 1)
df._src = feval (@subsasgn, df._src, S(2:end), RHS);
else
df._src = RHS;
endif
return
case "header"
if (length (S) > 1)
df._header = feval (@subsasgn, df._header, S(2:end), RHS);
else
df._header = RHS;
endif
return
case "comment"
if (length (S) > 1)
df._cmt = feval (@subsasgn, df._cmt, S(2:end), RHS);
else
df._cmt = RHS;
endif
return
otherwise
if (~ischar (S(1).subs))
error ("Congratulations. I didn't see how to produce this error");
endif
%# translate the name to column
[indc, ncol] = df_name2idx (df._name{2}, S(1).subs, ...
df._cnt(2), 'column', true);
if (isempty (indc))
%# dynamic allocation
df = df_pad (df, 2, 1, class (RHS));
indc = df._cnt(2); ncol = 1;
df._name{2}(end) = S(1).subs;
df._name{2} = genvarname(df._name{2});
df._over{2}(end) = false;
endif
if (length (S) > 1)
if (1 == length (S(2).subs)), %# add column reference
S(2).subs{2} = indc;
else
S(2).subs(2:3) = {indc, S(2).subs{2}};
endif
else
%# full assignement
S(2).type = '()'; S(2).subs = { '', indc, ':' };
if (ndims (RHS) < 3)
if (isnull (RHS))
S(2).subs = {':', indc};
elseif (1 == size (RHS, 2))
S(2).subs = { '', indc };
elseif (1 == ncol && 1 == size (df._data{indc}, 2))
%# force the padding of the vector to a matrix
S(2).subs = {'', indc, [1:size(RHS, 2)]};
endif
endif
endif
%# do we need to "rotate" RHS ?
if (1 == ncol && ndims (RHS) < 3 ...
&& size (RHS, 2) > 1)
RHS = reshape (RHS, [size(RHS, 1), 1, size(RHS, 2)]);
endif
df = df_matassign (df, S(2), indc, ncol, RHS);
endswitch
case '()'
[indr, nrow, S(1).subs{1}] = df_name2idx (df._name{1}, S(1).subs{1}, ...
df._cnt(1), 'row');
if (isempty (indr) && df._cnt(1) > 0)
%# this is not an initial assignment
df = df; return;
endif
if (any (indr < 1))
%# assigning line '0' -> this is a no-op
df = df; return;
endif
if (length (S(1).subs) > 1)
if (~isempty (S(1).subs{2}))
[indc, ncol, S(1).subs{2}] = ...
df_name2idx (df._name{2}, S(1).subs{2}, df._cnt(2), 'column');
%# if (isempty (indc) && df._cnt(2) > 0)
%# this is not an initial assignment
%# df = df; return;
else
[indc, ncol] = deal ([]);
endif
else
mz = max (cellfun (@length, df._rep));
[fullindr, fullindc, fullinds] = ind2sub ([df._cnt(1:2) mz], indr);
indr = unique( fullindr); indc = unique (fullindc);
inds = unique (fullinds);
ncol = length (indc);
if (any (inds > 1))
S(1).subs{3} = inds;
endif
endif
%# avoid passing ':' as selector on the two first dims
if (~isnull (RHS))
S(1).subs{1} = indr; S(1).subs{2} = indc;
endif
df = df_matassign (df, S, indc, ncol, RHS);
endswitch
%# disp("end of subsasgn"); keyboard
endfunction
dataframe-1.1.0/inst/@dataframe/subsindex.m 0000644 0000000 0000000 00000002523 12427233641 016754 0 ustar 0000000 0000000 function resu = subsindex(df, base)
%# function resu = subsindex(df)
%# This function convert a dataframe to an index. Do not expect a
%# meaningfull result when mixing numeric and logical columns.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if nargin < 2,
base = 1.0;
else
base = base - 1.0;
endif
%# extract all values at once
dummy = df_whole(df);
if isa(dummy, 'logical'),
resu = sort(find(dummy)-base);
%# resu = dummy - base;
else
resu = dummy - base;
endif
endfunction
dataframe-1.1.0/inst/@dataframe/subsref.m 0000644 0000000 0000000 00000067001 12427233641 016423 0 ustar 0000000 0000000 function resu = subsref(df, S)
%# function resu = subsref(df, S)
%# This function returns a subpart of a dataframe. It is invoked when
%# calling df.field, df(value), or df{value}. In case of fields,
%# returns either the content of the container with the same name,
%# either the column with the same name, priority being given to the
%# container. In case of range, selection may occur on name or order
%# (not rowidx for rows). If the result is homogenous, it is
%# downclassed. In case an extra field is given, is it used to
%# determine the class of the return value. F.i.,
%# df(1, 2, 'dataframe')
%# does not return a scalar but a dataframe, keeping all the meta-information
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
%# what kind of object should we return ?
asked_output_type = ''; asked_output_format = [];
if (strcmp (S(1).type, '.')) %# struct access
indi = strmatch (S(1).subs, 'as');
if (~isempty (indi))
if (length (S) < 2 || ~strcmp (S(2).type, '.'))
error ("The output format qualifier 'as' must be followed by a type");
endif
asked_output_type = "array";
asked_output_format = S(2).subs; S = S(3:end);
else
indi = strmatch (S(1).subs, 'array');
if (~isempty (indi))
asked_output_type = "array";
S = S(2:end);
else
indi = strmatch (S(1).subs, char ('df', class (df)));
if (~isempty (indi))
%# requiring a dataframe
if (1 == indi) %# 'df' = short for 'dataframe'
asked_output_type = 'dataframe';
else
asked_output_type = S(1).subs;
endif
S = S(2:end);
if (isempty (S) && strcmp (asked_output_type, class (df)))
resu = df; return;
endif
else
indi = strmatch (S(1).subs, 'cell');
if (~isempty (indi))
asked_output_type = S(1).subs;
S = S(2:end);
else
%# access as a pseudo-struct
resu = struct (df); %# avoid recursive calls
if (1 == strfind (S(1).subs, '_')) %# its an internal field name
%# FIXME: this should only be called from class members and friends
%# FIXME -- in case many columns are asked, horzcat them
resu = horzcat (feval (@subsref, resu, S));
else
%# direct access through the exact column name
indi = strmatch (S(1).subs, resu._name{2}, "exact");
if (~isempty (indi))
resu = df._data{indi}; %# extract colum;
if (strcmp (df._type{indi}, 'char') ...
&& 1 == size (df._data{indi}, 2))
resu = char (resu)
endif
if (length (S) > 1)
dummy = S(2:end); S = S(1);
switch dummy(1).type
case '()'
if (isa (dummy(1).subs{1}, "char"))
[indr, nrow, dummy(1).subs{1}] = ...
df_name2idx(df._name{1}, dummy(1).subs{1}, df._cnt(1), 'row');
endif
resu = feval(@subsref, resu, dummy);
otherwise
error ("Invalid column access");
endswitch
endif
else %# access of an attribute
dummy = S(2:end); S = S(1);
postop = ''; further_deref = false;
%# translate the external to internal name
switch S(1).subs
case "rownames"
S(1).subs = "_name";
S(2).type = "{}"; S(2).subs{1}= 1;
postop = @(x) char (x);
case "colnames"
S(1).subs = "_name";
S(2).type = "{}"; S(2).subs{1}= 2;
postop = @(x) char (x); further_deref = true;
case "rowcnt"
S(1).subs = "_cnt";
S(2).type = "()"; S(2).subs{1}= 1;
case "colcnt"
S(1).subs = "_cnt";
S(2).type = "()"; S(2).subs{1}= 2;
case "rowidx"
S(1).subs = "_ridx"; further_deref = true;
case "types" %# this one should be accessed as a matrix
S(1).subs = "_type"; further_deref = true;
case "source"
S(1).subs = "_src";
further_deref = true;
case "header"
S(1).subs = "_header";
further_deref = true;
case "comment"
S(1).subs = "_cmt";
further_deref = true;
case "new"
if (isempty (dummy))
resu = dataframe();
else
if (~strcmp (dummy(1).type, "()"))
error ("Bogus constructor call");
endif
resu = dataframe (dummy(1).subs{:});
endif
if (length (dummy) > 1)
resu = subsref (resu, dummy(2:end));
endif
return;
otherwise
error ("Unknown column name: %s", S(1).subs);
endswitch
if (~isempty (dummy))
if (~further_deref)
error ("Invalid sub-dereferencing");
endif
if (isa (dummy(1).subs{1}, "char"))
[indc, ncol, dummy(1).subs{1}] = ...
df_name2idx (df._name{2}, dummy(1).subs{1}, ...
df._cnt(2), 'column');
if (isempty (indc))
%# should be already catched inside df_name2idx
error ("Unknown column name: %s", dummy(1).subs{1});
endif
endif
if (~strcmp (dummy(1).type, '()'))
error ("Invalid internal field name sub-access, use () instead");
endif
endif
%# workaround around bug 30921, fixed in hg changeset 10937
%# if !isempty (dummy)
S = [S dummy];
%# endif
resu = feval(@subsref, resu, S);
if (~isempty (postop))
resu = postop(resu);
endif
endif
endif
return
endif
endif
endif
endif
endif
%# disp('line 103 '); keyboard
IsFirst = true;
while (1) %# avoid recursive calls on dataframe sub-accesses
%# a priori, performs whole accesses
nrow = df._cnt(1); indr = 1:nrow;
ncol = df._cnt(2); indc = 1:ncol;
%# linear indexes
[fullindr, fullindc, fullinds, onedimidx] = deal ([]);
%# iterate over S, sort out strange constructs as x()()(1:10, 1:4)
while (length (S) > 0)
if (strcmp (S(1).type, '{}'))
if (~IsFirst || ~isempty (asked_output_format))
error ("Illegal dataframe dereferencing");
endif
[asked_output_type, asked_output_format] = deal ('cell');
elseif (~strcmp (S(1).type, '()'))
%# disp(S); keyboard
error ("Illegal dataframe dereferencing");
endif
if (isempty (S(1).subs)) %# process calls like x()
if (isempty (asked_output_type))
asked_output_type = class (df);
endif
if (length (S) <= 1)
if (strcmp (asked_output_type, class (df)))
%# whole access without conversion
resu = df; return;
endif
break; %# no dimension specified -- select all, the
%# asked_output_type was set in a previous iteration
else
%# avoid recursive calls
S = S(2:end);
IsFirst = false; continue;
endif
endif
%# generic access
if (length (S(1).subs) > 1)
if (isempty (S(1).subs{2}))
error ('subsref: second dimension empty ???');
endif
if (strcmp (S(1).subs{1}, ':'))
%# make dataframe compatible with plot: access to a whole row
%# and a single colum are returned as array
%if ((isnumeric(S(1).subs{2}) && (1 == length (S(1).subs{2})) &&
% df._cnt(2) > 1) && isempty (asked_output_type))
if (strcmp (S(1).subs{2}, ':') && 1 == df._cnt(2) &&
isempty (asked_output_type))
asked_output_type = "array";
endif
endif
[indr, nrow, S(1).subs{1}] = ...
df_name2idx (df._name{1}, S(1).subs{1}, df._cnt(1), 'row');
if (~isa(indr, 'char') && max (indr) > df._cnt(1))
error ("Accessing dataframe past end of lines");
endif
[indc, ncol, S(1).subs{2}] = ...
df_name2idx (df._name{2}, S(1).subs{2}, df._cnt(2), 'column');
if (max (indc) > df._cnt(2))
%# is it a two index access of a 3D structure ?
if (length (df._cnt) > 2)
[fullindc, fullinds] = ind2sub (df._cnt(2:3), indc);
if (fullindc <= df._cnt(2))
indc = fullindc; inds = fullinds;
endif
endif
%# retest
if (max (indc) > df._cnt(2))
error ("Accessing dataframe past end of columns");
endif
endif
else
%# one single dim -- probably something like df(:), df(A), ...
fullindr = 1; onedimidx = S(1).subs{1};
switch class (S(1).subs{1})
case {'char'} %# one dimensional access, disallow it if not ':'
if (strcmp (S(1).subs{1}, ':'))
fullindr = []; fullindc = []; asked_output_type = "array";
else
error (["Accessing through single dimension and name " ...
S(1).subs{1} " not allowed\n-- use variable(:, 'name') instead"]);
endif
case {'logical'}
S(1).subs{1} = find(S(1).subs{1});
case {'dataframe'}
S(1).subs{1} = subsindex(S(1).subs{1}, 1);
endswitch
if (isempty (S(1).subs{1}))
resu = df_colmeta(df);
return;
endif
if (~isempty (fullindr))
%# convert linear index to subscripts
if (length (df._cnt) <= 2)
[fullindr, fullindc] = ind2sub (df._cnt, S(1).subs{1});
fullinds = ones (size (fullindr));
else
dummy = max (cellfun(@length, df._rep));
[fullindr, fullindc, fullinds] = ...
ind2sub ([df._cnt dummy], S(1).subs{1});
endif
indr = unique (fullindr); nrow = length (indr);
%# determine on which columns we'll iterate
indc = unique (fullindc)(:).'; ncol = length (indc);
if (~isempty (asked_output_type) && ncol > 1)
%# verify that the extracted values form a square matrix
dummy = zeros (indr(end), indc(end));
for indi = (1:ncol)
indj = find (fullindc == indc(indi));
dummy(fullindr(indj), indc(indi)) = 1;
endfor
dummy = dummy(indr(1):indr(end), indc(1):indc(end));
if (any (any (dummy~= 1)))
error ("Vector-like selection is not rectangular for the asked output type");
else
fullindr = []; fullindc = [];
endif
endif
endif
endif
%# at this point, S is either empty, either contains further dereferencing
break;
endwhile
%# we're ready to extract data
%# disp('line 211 '); keyboard
if (isempty (asked_output_type))
output_type = class (df); %# force df output
else
if (~strcmp (asked_output_type, "array") ...
|| ~isempty (asked_output_format))
%# override the class of the return value
output_type = asked_output_type;
else
%# can the data be merged ?
if (isempty (df))
output_type = 0.0;
else
output_type = df._data{indc(1)}(1);
dummy = isnumeric (df._data{indc(1)});
for indi = (2:ncol)
dummy = dummy & isnumeric (df._data{indc(indi)});
if (~strcmp (class (output_type), df._type{indc(indi)}))
if (dummy)
%# let downclassing occur
output_type = horzcat (output_type, df._data{indc(indi)}(1));
continue;
endif
%# unmixable args -- falls back to type of parent container
error ("Selected columns %s not compatible with cat() -- use 'cell' as output format", mat2str (indc));
%# dead code -- suppress previous line for switching automagically the output format to df
output_type = class (df);
break;
endif
endfor
endif
asked_output_format = class (output_type);
output_type = "array";
endif
endif
if (any (strcmp ({output_type, asked_output_type}, class (df))))
if (~isempty (S) && (1 == length (S(1).subs)))
%# is the selection index vector-like ?
if ((isnumeric(S(1).subs{1}) && isvector (S(1).subs{1}) &&
df._cnt(1) > 1) && isempty (asked_output_type))
%# in the case of vector input, favor array output
[asked_output_type, output_type] = deal ("array");
endif
endif
endif
indt = {}; %# in case we have to mix matrix of different width
if (~isempty (fullinds))
inds = unique (fullinds); nseq = length (inds);
indt(1, 1:df._cnt(2)) = inds;
else
inds = 1; indt(1, 1:df._cnt(2)) = inds; nseq = 1;
if (isempty (S) || all (cellfun ('isclass', S(1).subs, 'char')))
inds = ':'; indt(1, 1:df._cnt(2)) = inds;
nseq = max (cellfun (@length, df._rep(indc)));
else
if (length (S(1).subs) > 1) %# access-as-matrix
if (length (S(1).subs) > 2)
inds = S(1).subs{3};
if (isa(inds, 'char'))
nseq = max (cellfun (@length, df._rep(indc)));
indt(1, 1:df._cnt(2)) = inds;
else
%# generate a specific index for each column
nseq = length (inds);
dummy = cellfun (@length, df._rep(indc));
indt(1, 1:df._cnt(2)) = inds;
indt(1==dummy) = 1;
endif
endif
endif
endif
endif
if (strcmp (output_type, class (df)))
%# disp('line 295 '); keyboard
%# export the result as a dataframe
resu = dataframe ();
resu._cnt(1) = nrow; resu._cnt(2) = ncol;
if (isempty (fullindr))
for indi = (1:ncol)
resu._data{indi} = df._data{indc(indi)}...
(indr, df._rep{indc(indi)}(indt{indc(indi)}));
resu._rep{indi} = 1:size (resu._data{indi}, 2);
resu._name{2}(indi, 1) = df._name{2}(indc(indi));
resu._over{2}(1, indi) = df._over{2}(indc(indi));
resu._type{indi} = df._type{indc(indi)};
endfor
if (~isempty (df._ridx) && size (df._ridx, 2) >= inds)
resu._ridx = df._ridx(indr, inds);
endif
if (length (df._name{1}) >= max (indr))
resu._name{1}(1:nrow, 1) = df._name{1}(indr);
resu._over{1}(1, 1:nrow) = df._over{1}(indr);
endif
else
dummy = df_whole(df);
dummy = dummy(onedimidx);
for indi = (1:resu._cnt(2))
indc = unique (fullindc(:, indi));
if (1 == length (indc))
resu._name{2}(indi)= df._name{2}(indc);
resu._over{2}(indi)= df._over{2}(indc);
unfolded = df._data{indc}(:, df._rep{indc});
indj = sub2ind (size (unfolded), fullindr(:, indi), ...
fullinds(:, indi));
resu._data{indi} = unfolded(indj);
resu._type{indi} = df._type{indc};
resu._rep{indi} = 1:size (resu._data{indi}, 2);
else
resu._name{2}(indi)= ["X" num2str(indi)];
resu._over{2}(indi)= true;
resu._data{indi} = squeeze (dummy(:, indi, :));
resu._type{indi} = class (dummy(1, indi, 1));
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endif
endfor
if (1 == size (df._ridx, 2))
resu._ridx = repmat (df._ridx, [1 ncol 1]);
else
resu._ridx = df._ridx;
endif
if (~isempty (resu._ridx))
if (size (resu._ridx, 2) > 1)
resu._ridx = resu._ridx(indr, indc);
else
resu._ridx = resu._ridx(indr);
endif
endif
endif
%# to be verified : keyboard
resu._src = df._src;
resu._header = df._header;
resu._cmt = df._cmt;
resu = df_thirddim (resu);
if (length (S) > 1) %# perform further access, if required
df = resu;
S = S(2:end); %# avoid recursive calls
continue; %# restart the loop around line 150
endif
return;
elseif (strcmp (output_type, 'cell'))
%# export the result as a cell array
if (isempty (asked_output_format))
resu = cell (2+nrow, 2+ncol); resu(1:end, 1:2) = {''};
resu(2, 3:end) = df._type(indc); %column type
row_offs = 2; col_offs = 2;
for indi = (1:ncol)
resu{1, 2+indi} = df._name{2}{indc(indi)}; % column name
endfor
resu(3:end, 1) = mat2cell (df._ridx(indr), ones (nrow, 1), 1);
if (length (df._name{1}) >= max (indr))
resu(3:end, 2) = df._name{1}{indr};
endif
else
resu = cell (nrow, ncol);
row_offs = 0; col_offs = 0;
endif
for indi = (1:ncol)
switch df._type{indc(indi)} % cell content
case {'char' }
%# dummy = cellstr(df._data{indc(indi)}(indr, :));
dummy = df._data{indc(indi)}(indr, :);
resu(1+row_offs:end, indi+col_offs) = dummy;
otherwise
dummy = df._data{indc(indi)}(indr, :);
resu(1+row_offs:end, indi+col_offs) = ...
mat2cell (dummy, ones (nrow, 1), size (dummy, 2));
endswitch
endfor
%# did we arrive here by x.cell ?
if (0 == length (S)) return; endif
%# perform the selection on the content, keeping the header
if (length (S) > 1) %# perform further access, if required
if (~strcmp (S(2).type, '()'))
error ("Illegal dataframe-as-cell sub-dereferencing");
endif
if (~isempty (asked_output_format))
resu = feval (@subsref, resu, S(2:end));
else
if (length (S(2).subs) ~= 1)
%# normal, two-dimensionnal access apply the selection on the
%# zone containing the data
dummy = S;
if (~isempty (dummy(2).subs))
dummy(2).subs{2} = ':';
endif
resuf = cat (2, ...
%# reselect indexes
feval (@subsref, resu(3:end, 1),
dummy(2:end)), ...
%# reselect rownames
feval (@subsref, resu(3:end, 2),
dummy(2:end)), ...
%# extract - reorder - whatever
feval (@subsref, resu(3:end, 3:end), S(2:end))
...
);
dummy = S;
if (~isempty (dummy(2).subs))
dummy(2).subs{1} = [1 2];
endif
resuf = cat(1, ...
%# reselect column names and types
[cell(2, 2) feval(@subsref, resu(1:2,
3:end), ...
dummy(2:end))], ...
resuf ...
);
resuf(1:2, 1:2) = {''}; resu = resuf;
else
%# one dimensionnal access of the whole 2D cell array -- you
%# asked it, you got it
resu = feval (@subsref, resu(:), S(2:end));
if (~isa (S(2).subs{1}, 'char') ...
&& size (S(2).subs{1}, 2) > 1)
resu = resu.';
endif
endif
endif
elseif (1 == length (S(1).subs))
resu = resu(:);
if (~isa(S(1).subs{1}, 'char') ...
&& size (S(1).subs{1}, 2) > 1)
resu = resu.';
endif
endif
return; %# no more iteration required
else
%# export the result as a vector/matrix. Rules:
%# * x(:, :, :) returns a 3D matrix
%# * x(:, n:m, :) returns a 3D matrix
%# * x(:, :) returns a horzcat of the third dimension
%# * x(:, n:m) select only the first sequence
%# * x(:) returns a vertcat of the columns of x(:, :)
%# disp('line 403 '); keyboard
if (isempty (S) || isempty (S(1).subs) || ...
length (S(1).subs) > 1 || ...
(isnumeric (S(1).subs{1}) && ~isvector(S(1).subs{1})))
%# access-as-matrix
if (isempty (df))
resu = [];
else
df = struct (df); %# remove the magic, avoid recursive calls
if (isempty (fullindr)) %# two index access
if (~isempty (asked_output_format)) %# force a conversion
if (strmatch (asked_output_format, 'cell'))
extractfunc = @(x) mat2cell...
(df._data{indc(x)}(indr, df._rep{indc(x)}(inds)), ...
ones (nrow, 1));
else
extractfunc = @(x) cast ( df._data{indc(x)}...
(indr, df._rep{indc(x)}(inds)),...
asked_output_format);
endif
else %# let the usual downclassing occur
extractfunc = @(x) df._data{indc(x)}(indr, df._rep{indc(x)}(inds));
endif
try
if (nseq > 1)
dummy = reshape (extractfunc (1), nrow, 1, []);
if (size (dummy, 3) < nseq)
dummy = repmat (dummy, [1 1 nseq]);
endif
else
dummy = extractfunc (1);
endif
catch
error ("Column %d format (%s) can't be converted to %s", ...
indc(1), df._type{indc(1)}, asked_output_format);
end_try_catch
if (ncol > 1)
%# dynamic allocation with the final type
resu = repmat (dummy, [1 ncol]);
for indi = (2:ncol)
try
if (nseq > 1)
dummy = reshape (extractfunc (indi), nrow, 1, []);
if (size (dummy, 3) < nseq)
dummy = repmat (dummy, [1 1 nseq]);
endif
else
dummy = extractfunc (indi);
endif
catch
error ("Column %d format (%s) can't be converted to %s", ...
indc(indi), df._type{indc(indi)}, asked_output_format);
end_try_catch
resu(:, indi, :) = dummy;
endfor
else
if (strcmp (df._type{indc(1)}, 'char'))
resu = char (dummy);
else
resu = dummy;
endif
endif
if (~isempty (S) && 2 == length (S(1).subs) ...
&& all (cellfun ('isclass', S(1).subs, 'char')))
resu = reshape (resu, nrow, ncol*nseq);
endif
else %# one index access
%# disp('line 557'); keyboard
if (~isempty (asked_output_format)) %# force a conversion
if (strmatch (asked_output_format, 'cell'))
extractfunc = @(x, y) mat2cell (df._data{x}(:, df._rep{x}(y)), ...
ones (length (y), 1));
else
extractfunc = @(x, y) cast (df._data{x}(:, df._rep{x})(y), ...
asked_output_format);
endif
else %# let the usual downclassing occur
extractfunc = @(x, y) df._data{x}(:, df._rep{x})(y);
endif
try
resu = zeros(0, class (sum (cellfun (@(x) zeros (1, class (x(1))),...
df._data(indc)))));
for indi = (indc)
dummy = find (indi == fullindc); %# linear global index
%# linear index for this matrix
idx = sub2ind (size (df._data{indi}), fullindr(dummy), ...
fullinds(dummy));
resu(dummy) = extractfunc (indi, idx);
endfor
catch
disp (lasterr);
error ("Column %d format (%s) can't be converted to %s", ...
indi, df._type{indi}, asked_output_format);
end_try_catch
resu = reshape (resu, size (onedimidx));
endif
endif
else %# access-as-vector
%# disp('line 548 '); keyboard
if (~isempty (fullindr))
switch df._type{indc(1)}
case {'char'}
resu = df._data{indc(1)}(fullindr(1), ...
df._rep{indc(1)}(fullinds(1)));
for indi = (2:length (fullindr))
resu = char (resu, df._data{indc(indi)}...
(fullindr(indi), df._rep{indc(indi)}(fullinds(indi))));
endfor
otherwise
if (isempty (asked_output_format))
resu = df._data{fullindc(1)}...
(fullindr(1), df._rep{fullindc(1)}(fullinds(1)));
else %# this type will propagate with subsequent cat
resu = cast (df._data{fullindc(1)}...
(fullindr(1), df._rep{fullindc(1)}(fullinds(1))),...
asked_output_format);
endif
for indi = (2:length (fullindr))
resu = cat(1, resu, df._data{fullindc(indi)}...
(fullindr(indi), ...
df._rep{fullindc(indi)}(fullinds(indi))));
endfor
endswitch
else %# using the (:) operator
resu = df_whole(df)(:);
endif
if (~isa (S(1).subs{1}, 'char') ...
&& size (S(1).subs{1}, 2) > 1)
resu = resu.';
endif
endif
if (length (S) > 1) %# perform further access, if required
%# disp('line 442 '); keyboard
resu = feval(@subsref, resu, S(2:end));
endif
endif
return; %# no more iteration required
endwhile
%# disp("line 343 !?!"); %# keyboard
return
endfunction
dataframe-1.1.0/inst/@dataframe/sum.m 0000644 0000000 0000000 00000002013 12427233641 015546 0 ustar 0000000 0000000 function resu = sum(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (~isa (df, 'dataframe'))
resu = []; return;
endif
resu = df_mapper2 (@sum, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/summary.m 0000644 0000000 0000000 00000007121 12427233641 016444 0 ustar 0000000 0000000 function resu = summary(df)
%# function resu = summary(df)
%# This function prints a nice summary of a dataframe, on a
%# colum-by-column basis. For continuous varaibles, returns basic
%# statistics; for discrete one (char, factors, ...), returns the
%# occurence count for each element.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
dummy = df._type; resu = [];
for indi = (1:length (dummy))
switch dummy{indi}
case {'char' 'factor'}
[sval, sidxi, sidxj] = unique (df._data{:, indi});
%# compute their occurences
sidxj = hist (sidxj, min(sidxj):max(sidxj));
%# generate a column with unique values. The regexp is used to
%# call disp and re-format the output over many lines.
resuR = strjust (char (regexp (disp (char (sval)), '.*', 'match', ...
'dotexceptnewline')), 'right');
resuR = horzcat (resuR, repmat (':', size(resuR, 1), 1));
%# put the name above all
resuR = strjust (char ([deblank(df._name{1, 2}(indi, :)); resuR]), ...
'right');
%# generate a column with a blank line and the values
resuR = horzcat (resuR, repmat (' ', size(resuR, 1), 1),
strjust (char (' ', regexp (disp (sidxj.'), '.*', ...
'match', ...
'dotexceptnewline')), ...
'right'),...
repmat (' ', size(resuR, 1), 1));
otherwise
s = statistics (df._data{:, indi});
s = s([1:3 6 4:5]);
%# generate a column with name and fields name
resuR = strjust ([deblank(df._name{1, 2}{indi, :});
"Min. :"; "1st Qu.:";
"Median :"; "Mean :";
"3rd Qu.:"; "Max. :"], 'right');
%# generate a column with a blank line and the values
resuR = horzcat (resuR, repmat (' ', size(resuR, 1), 1),
strjust (char (' ', regexp (disp (s), '.*', ...
'match', ...
'dotexceptnewline')), ...
'right'),...
repmat (' ', size(resuR, 1), 1));
endswitch
resu = horzcat_pad (resu, resuR);
endfor
endfunction
function resu = horzcat_pad(A, B)
%# small auxiliary function to cat horizontally tables of different height
dx = size (A, 1) - size (B, 1);
if (dx < 0)
%# pad A
A = strvcat (A, repmat (' ', -dx, size(A, 2)));
elseif (dx > 0)
B = strvcat (B, repmat (' ', dx, size(B, 2)));
endif
resu = horzcat (A, B);
endfunction
dataframe-1.1.0/inst/@dataframe/sumsq.m 0000644 0000000 0000000 00000002016 12427233641 016115 0 ustar 0000000 0000000 function resu = sumsq(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
if (~isa (df, 'dataframe'))
resu = []; return;
endif
resu = df_mapper2(@sumsq, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/tan.m 0000644 0000000 0000000 00000001711 12427233641 015530 0 ustar 0000000 0000000 function resu = tan(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@tan, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/tanh.m 0000644 0000000 0000000 00000001713 12427233641 015702 0 ustar 0000000 0000000 function resu = tanh(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@tanh, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/times.m 0000644 0000000 0000000 00000002250 12427233641 016066 0 ustar 0000000 0000000 function resu = times(A, B);
%# function resu = times(A, B)
%# Implements the dotted '*' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
try
resu = df_func(@times, A, B);
catch
disp(lasterr());
error("Operator .* problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe-1.1.0/inst/@dataframe/uminus.m 0000644 0000000 0000000 00000002035 12427233641 016266 0 ustar 0000000 0000000 function resu = uminus(df);
%# function resu = uminus(df)
%# Implements the unitary '-' operator for a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@uminus, df);
endfunction
dataframe-1.1.0/inst/@dataframe/uplus.m 0000644 0000000 0000000 00000002032 12427233641 016113 0 ustar 0000000 0000000 function resu = uplus(df);
%# function resu = uplus(df)
%# Implements the unitary '+' operator for a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_mapper(@uplus, df);
endfunction
dataframe-1.1.0/inst/@dataframe/vertcat.m 0000644 0000000 0000000 00000002202 12427233641 016412 0 ustar 0000000 0000000 function resu = vertcat(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
%# do the conversion now, in order not to loose inputnames
for indi = (1:length (varargin))
varargin{indi} = dataframe (varargin{indi}, 'colnames', inputname(1+indi));,
endfor
resu = cat (1, df, varargin{:});
endfunction
dataframe-1.1.0/inst/@dataframe/xor.m 0000644 0000000 0000000 00000002043 12427233641 015555 0 ustar 0000000 0000000 function resu = xor(A, B);
%# function resu = xor(A, B)
%# Implements the '??' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave 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.
%%
%% Octave 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 Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id$
%#
resu = df_func(@xor, A, B);
endfunction
dataframe-1.1.0/inst/data_test.csv 0000644 0000000 0000000 00000001515 12427233641 015233 0 ustar 0000000 0000000 #notice there is a extra separator
DataName, VBIAS, Freq, |IBIAS|, C, GOUT, OK?,
DataValue, -6, 300000, 1.6272E-11, 7.02154E-13, 1.60436E-07, 'A',
DataValue, -5.8, 300000, 1.599E-11, 6.96065E-13, 1.5728E-07, 'E',
# a comment line, and an empty one
DataValue, -5.6, 300000, 1.379E-11, 6.90475E-13, 1.54887E-07, '!',
DataValue, -5.4, 300000, 1.442E-11, 6.85165E-13, 1.54777E-07, '?',
# the next lines use \r\n, \r and \f as linefeed
DataValue, -5.2, 300000, 1.293E-11, 6.79655E-13, 1.51887E-07, 'C',
DataValue, -5, 300000, 1.261E-11, 6.74438E-13, 1.49309E-07, 'B',
DataValue, -4.8, 300000, 1.439E-11, 6.70105E-13, 1.48758E-07, 'A', DataValue, -4.6, 300000, 1.089E-11, 6.64158E-13, 1.489E-07, '3',
# one empty input field
DataValue, -4.4, 300000, , 6.5859E-13, 1.45578E-07, 'C',
DataValue, -4.2, 300000, 1.061E-11, 6.53547E-13, 1.44306E-07, 'B',
dataframe-1.1.0/inst/dataframe 0000644 0000000 0000000 00000020545 12427233641 014421 0 ustar 0000000 0000000 %# -*- mode: Octave -*-
%!shared a, b, x, xl, y, yl, Y, z
%! x=dataframe(randn(3, 3), 'rownames', (7:-1:5).');
%! x(1:3, 1) = 3;
%! x(1:3, 1) = (4:6).';
%!assert(x.array(2, 1), 5);
%! x(1, 1:3) = 3;
%! x(1, 1:3) = (4:6).';
%!assert(x.array(1, 2), 5);
%!assert(isempty(x.rowidx), false);
%! x.types(2) ='single';
%!assert(class(x.array(1, 2)), 'single')
%! x=dataframe('data_test.csv');
%!assert(isna(x.array(9, 4)))
%! # remove rownames
%! x.rownames = [];
%!assert(size(x.rownames), [0 0])
%! # remove a column through '.' access
%! y = x; y.DataName = [];
%!assert(size(y(:, '_IBIAS_')), [10 1])
%!assert(size(y), [10 6]);
%! y = x{};
%!assert(size(y), [10 7]);
%! y = x{[2 5], [2 7]};
%!assert(y, {-5.8, "E"; -5.2, "C"});
%! y = x{}([2 5], [2 7]);
%!assert(y, {-5.8, "E"; -5.2, "C"});
%! y = x{1:2, 1:2}(4);
%!assert(y, {-5.8});
%! # remove a column through (:, name) access
%! y = x; y(:, "DataName") = [];
%!assert(size(y), [10 6]);
%! # create an empty dataframe
%! y = dataframe([]);
%!assert(isempty(y), true);
%! y = x.df(:, 2:6);
%! Y = 2*pi*double(y.Freq).*y.C+y.GOUT;
%! z = dataframe(y,{{'Y'; Y}});
%!assert(size(z), [10 6]);
%!assert(abs(z(1, "Y") - Y(1)).array, 0);
%! # direct matrix setting through struct access
%! y.Freq=[(1:10).' (10:-1:1).'];
%! # verify the "end" operator on the third dim
%!assert(y.array(2, 2, end), 9);
%! # direct setting through 3D matrix
%! y(:, ["C"; "G"], 1:2) = repmat(y(:, ["C"; "G"]), [1 1 2]);
%! y(4:5, 4:5) = NaN;
%!test
%! if any(size(x) != [10 7]),
%! error('x: wrong input size')
%! endif
%! if any(size(y) != [10 5 2]),
%! error('y: wrong input size')
%! endif
%!#assert(numel(x), 1);
%! # test simple slices
%!assert(x.VBIAS(1:6), (-6:.2:-5).');
%!assert(x.array(6:10, 2), (-5:.2:-4.2).');
%!assert(x.array(6, "OK_"), 'B');
%!assert(x.array(2, logical([0 0 1 1])), x.array(2, 3:4))
%!assert(size(y.array(:, :, :)), [10 5 2]);
%!assert(size(y.array(:, :)), [10 10]);
%!assert(size(y.array(:, 2, 2)), [10 1]);
%!assert(size(y.array(:, 2)), [10 1]);
%!assert(y.C(4:5), [NaN NaN]);
%!error error("Accessing past limits")
%! x(1, 8)
%! x(11, 1)
%! x(1, logical(ones(1, 7)))
%! x.types{"FReq*"}
%! x(1, :)
%!test
%! #!! removed -- output format may only be specified before selection
%! #select one column
%! #assert(x(1:3, 1).cell(:), x.cell(1:3)(:))
%! #assert(x(33:35).cell.', x(33:35).cell(:))
%! #select two columns
%!assert(x.cell(1:10, 2:3)(:), x.cell(11:30)(:))
%!error error("Complex accesses");
%! x(:);
%! x.dataframe(:);
%! x.dataframe.cell
%!test
%! # test modifying column type
%! x.types("Freq") = 'uint32'; x.types(2) = 'single';
%! # downclassing must occur !
%!assert(class(x.array(1, ["Freq"; "C"])), 'uint32')
%! # upclassing must occur !
%!assert(class(x.as.double(1, ["Freq"; "C"])), 'double')
%!error error("Incorrect internal field sub-referencing")
%! x.types{"Freq"}
%!error error("mixing different types")
%! x([12:18 22:28 32:38]);
%!error error("non-square access")
%! x([22:28 32:37]).dataframe;
%! x.cell([1:19]);
%!error error("Single-dimension name access")
%! x("Freq");
%!test
%! # complex access
%! x(x(:, "OK_") == '?', ["C"; "G*"]) = NaN;
%!assert(x.array(4, 5:6), [NaN NaN])
%! # extract values
%! y = x.dataframe(x(:, "OK_") =='A', {"Freq", "VB*", "C", "G"});
%! #comparison using cell output class, because assert use (:)
%!assert(y.cell(:, 2:3), x.cell([1 7], ["VB*"; "C"]))
%!assert(x.array((33:35).'), x.array(3:5, 4))
%! #test further dereferencing
%!assert(x.array(:, "C")(2:4), x.array(2:4, "C"))
%! # complex modifications through cell access
%! z = dataframe(x, {"VB*", {"Polarity" ,"Sense"; ones(12,2), zeros(10,2)}});
%!assert(size(z), [12 9 2]);
%!assert(z.Sense(11:12, :), NA*ones(2, 2));
%!assert(size(z._over{2}, 2) - size(x._over{2}, 2), 2);
%! x = dataframe(randn(3, 3)); y = x.array;
%! xl = x > 0; yl = y > 0;
%! a = zeros(size(yl)); b = a;
%! a(xl) = 1; b(yl) = 1;
%!assert(a, b);
%! [a, b] = sort(y(:)); y = reshape(b, 3, 3); x = dataframe(y);
%! a = zeros(size(yl)); b = a;
%! a(x) = 10:-1:2; b(y) = 10:-1:2;
%!assert(a, b);
%! x = dataframe(randn(3, 3)); y = randn(3, 3); z = dataframe(y);
%!assert((x+y(1)).array, x.array+y(1))
%!assert((y(1)+x).array, y(1)+x.array)
%!assert((x+y).array, x.array+y)
%!assert((y+x).array, y+x.array)
%!assert((x+z).array, x.array+z.array)
%!assert((bsxfun(@plus, x, z(1,:))).array, bsxfun(@plus, x.array, z.array(1,:)))
%!assert((bsxfun(@plus, x, z(:,1))).array, bsxfun(@plus, x.array, z.array(:,1)))
%!assert((bsxfun(@minus,z(1,:),x)).array, bsxfun(@minus,z.array(1,:),x.array))
%!assert((bsxfun(@minus,z(:,1),x)).array, bsxfun(@minus,z.array(:,1),x.array))
%!assert((x > 0).array, x.array > 0)
%!assert((0 > x).array, 0 > x.array)
%!assert((x > y).array, x.array > y);
%!assert((y > x).array, y > x.array);
%!assert((x > z).array, x.array > z.array)
%!assert((x*y(1)).array, x.array*y(1))
%!assert((y(1)*x).array, y(1)*x.array)
%!assert((x.*y).array, x.array.*y)
%!assert((y.*x).array, y.*x.array)
%!assert((z.*x).array, z.array.*x.array)
%!assert((x*y).array, x.array*y)
%!assert((y*x).array, y*x.array)
%!assert((x*z).array, x.array*z.array)
%!assert((x/y(1)).array, x.array/y(1))
%!assert((x./y).array, x.array./y)
%!assert((y./x).array, y./x.array)
%!assert((z./x).array, z.array./x.array)
%!assert((x/y).array, x.array/y)
%!assert((y/x).array, y/x.array)
%!assert((x/z).array, x.array/z.array)
% # left division is a bit more complicated
%!assert((x(1, 1)\y).array, x.array(1, 1)\y)
%!assert((x(:, 1)\y).array, x.array(:, 1)\y, sqrt(eps))
%!assert((x\y).array, x.array\y)
%!assert((y\x).array, y\x.array)
%!assert((x\z).array, x.array\z.array)
% x=dataframe(randn(4, 3, 2)); y=randn(4, 3, 2); z=dataframe(y);
%!assert((abs(sum(center(x)) < sqrt(eps)).array))
%!assert((x+y).array, x.array+y)
%!assert((y+x).array, y+x.array)
%!assert((x+z).array, x.array+z.array);
%!assert((bsxfun(@plus,x,z(1,:,:))).array, bsxfun(@plus,x.array,z.array(1,:,:)));
%!assert((bsxfun(@plus,x,z(:,1,:))).array, bsxfun(@plus,x.array,z.array(:,1,:)));
%!assert((bsxfun(@plus,z(1,:,:),x)).array, bsxfun(@plus,z.array(1,:,:),x.array));
%!assert((bsxfun(@plus,z(:,1,:),x)).array, bsxfun(@plus,z.array(:,1,:),x.array));
%! [a, b] = sort(x(:)); x=dataframe(reshape((1:9)(b), [3 3]));
%! y = reshape((1:9)(b), [3 3]); z = dataframe(y);
%!assert(x(x(:)), y(x(:)));
%!assert(x(y(:)), y(y(:)));
%! z= x(x);
%!assert(z.array, y(x));
%! z = x(y);
%!assert(z.array, y(y));
%!demo
%! x=dataframe('data_test.csv')
%! disp("Access as a struct: x.VBIAS(1:6)")
%! x.VBIAS(1:6)
%! pause; disp("Access as a matrix: x(6, 'OK')")
%! x(6, "OK?")
%! pause; disp("Removing the row names: x.rownames = []");
%! x.rownames = []
%! pause; disp("Modifying column type: x.types['Freq']='uint32'");
%! x.types("Freq")='uint32'
%! pause; disp("Partial extract");
%! disp("y = x(x(:, 'OK.') == 'A'|x(:, ""OK?"") == 'B', {'Freq', 'VB*', 'C', 'G'}")
%! y = x(x(:, 'OK.') == 'A'|x(:, "OK?") == 'B', {'Freq', 'VB*', 'C', 'G'})
%! disp("y.rownames = char({'low', 'med', 'med', 'high'})");
%! y.rownames = char({'low', 'med', 'med', 'high'})
%! pause; disp("Partial modification of one column")
%! disp("y.Freq('med')=[290e3; 310e3]")
%! y.Freq('med') = [290e3; 310e3]
%! pause; disp('Complex access');
%! disp("y.C('med')([2 1])");
%! y.C('med')([2 1])
%! pause; disp('Print stats about a dataframe: summary(y)');
%! summary(y)
%!demo
%! disp('Modifying a dataframe from a cell array')
%! RHS={ 'don''t care', 'idx', 'Vb', 'freq', 'Ib', 'C', 'status', 'comment'
%! 'yes', uint16(5), single(3.2), 10000, 1e-11, 6e-13, 'bla', '@'
%! 'no', uint16(16), 4, 12000, 2e-11, 4e-13, 7, 'X'};
%! disp("Resetting a dataframe: x=dataframe([])");
%! x = dataframe([]);
%! x(:, :) = RHS
%! disp("Overwriting the second line")
%! RHS{1, 2} = "idg"; RHS{3, 1}= "No!";
%! disp("'x(2, :) = RHS(1:2, :)' will produce two warnings")
%! disp("Notice that only the second line content will change");
%! disp("x(2, :) = RHS(1:2, :)")
%! x(2, :) = RHS(1:2, :)
%! pause; disp('same effect, but skipping first column');
%! disp("x(1, :) = RHS([1 3], 2:end)");
%! x(1, []) = RHS([1 3], 2:end)
%!demo
%! disp("same game, but using row indexes.")
%! disp("Notice the first field name is empty")
%! RHS= { '', 'idx', 'Vb', 'freq', 'Ib', 'C', 'status', 'comment'
%! 5, uint32(16), 5.3, 11000, 3e-12, 5e-12, "may", "8th"};
%! disp("x= dataframe(RHS)")
%! x = dataframe(RHS)
%! pause; disp("The same effect is achieved by assigning to an empty dataframe")
%! x = dataframe([]);
%! x(:, :) = RHS