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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 <Pascal.Dupuis@uclouvain.be>
%%
%% 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 (isempty (S(1).subs{1}))
error ('subsref: first dimension empty ???');
endif
if (length (S(1).subs) > 1)
if (isempty (S(1).subs{2}))
error ('subsref: second dimension empty ???');
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