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isnumeric.m    40 lines (34 with data), 1.4 kB

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function resu = isnumeric(df)
%# function resu = isnumeric(df)
%# returns true if the dataframe contains only numeric columns
%% 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.
%#
%# $Id$
%#
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