我需要处理大量混合类型的表格数据 - 字符串和双精度。一个标准的问题,我想。Matlab 中最好的数据结构是什么?
Cellarray 绝对不是答案。这是非常低效的内存。(测试如下所示)。数据集(来自统计工具箱)的时间和空间效率非常低。这给我留下了 structarray 或数组结构。我对下面的时间和内存的所有四个不同选项进行了测试,在我看来,数组结构是我测试的东西的最佳选择。
我对 Matlab 比较陌生,坦率地说,这有点令人失望。无论如何 - 就我是否遗漏了什么,或者我的测试是否准确/合理寻求建议。除了访问/转换/内存使用之外,我是否遗漏了其他考虑因素,这些考虑因素可能会随着我使用这些东西编写更多代码而出现。(仅供参考,我正在使用 R2010b)
* *测试 #1:访问速度 访问数据项。
cellarray:0.002s
dataset:36.665s %<<< This is horrible
structarray:0.001s
struct of array:0.000s
* *测试#2:转换速度和内存使用我从这个测试中删除了数据集。
Cellarray(doubles)->matrix:d->m: 0.865s
Cellarray(mixed)->structarray:c->sc: 0.268s
Cellarray(doubles)->structarray:d->sd: 0.430s
Cellarray(mixed)->struct of arrays:c->sac: 0.361s
Cellarray(doubles)->struct of arrays:d->sad: 0.887s
Name Size Bytes Class Attributes
c 100000x10 68000000 cell
d 100000x10 68000000 cell
m 100000x10 8000000 double
sac 1x1 38001240 struct
sad 1x1 8001240 struct
sc 100000x1 68000640 struct
sd 100000x1 68000640 struct
================== 代码:测试#1
%% cellarray
c = cell(100000,10);
c(:,[1,3,5,7,9]) = num2cell(zeros(100000,5));
c(:,[2,4,6,8,10]) = repmat( {'asdf'}, 100000, 5);
cols = strcat('Var', strtrim(cellstr(num2str((1:10)'))))';
te = tic;
for iii=1:1000
x = c(1234,5);
end
te = toc(te);
fprintf('cellarray:%0.3fs\n', te);
%% dataset
ds = dataset( { c, cols{:} } );
te = tic;
for iii=1:1000
x = ds(1234,5);
end
te = toc(te);
fprintf('dataset:%0.3fs\n', te);
%% structarray
s = cell2struct( c, cols, 2 );
te = tic;
for iii=1:1000
x = s(1234).Var5;
end
te = toc(te);
fprintf('structarray:%0.3fs\n', te);
%% struct of arrays
for iii=1:numel(cols)
if iii/2==floor(iii/2) % even => string
sac.(cols{iii}) = c(:,iii);
else
sac.(cols{iii}) = cell2mat(c(:,iii));
end
end
te = tic;
for iii=1:1000
x = sac.Var5(1234);
end
te = toc(te);
fprintf('struct of array:%0.3fs\n', te);
================== 代码:测试#2
%% cellarray
% c - cellarray containing mixed type
c = cell(100000,10);
c(:,[1,3,5,7,9]) = num2cell(zeros(100000,5));
c(:,[2,4,6,8,10]) = repmat( {'asdf'}, 100000, 5);
cols = strcat('Var', strtrim(cellstr(num2str((1:10)'))))';
% c - cellarray containing doubles only
d = num2cell( zeros( 100000, 10 ) );
%% matrix
% doubles only
te = tic;
m = cell2mat(d);
te = toc(te);
fprintf('Cellarray(doubles)->matrix:d->m: %0.3fs\n', te);
%% structarray
% mixed
te = tic;
sc = cell2struct( c, cols, 2 );
te = toc(te);
fprintf('Cellarray(mixed)->structarray:c->sc: %0.3fs\n', te);
% doubles
te = tic;
sd = cell2struct( d, cols, 2 );
te = toc(te);
fprintf('Cellarray(doubles)->structarray:d->sd: %0.3fs\n', te);
%% struct of arrays
% mixed
te = tic;
for iii=1:numel(cols)
if iii/2==floor(iii/2) % even => string
sac.(cols{iii}) = c(:,iii);
else
sac.(cols{iii}) = cell2mat(c(:,iii));
end
end
te = toc(te);
fprintf('Cellarray(mixed)->struct of arrays:c->sac: %0.3fs\n', te);
% doubles
te = tic;
for iii=1:numel(cols)
sad.(cols{iii}) = cell2mat(d(:,iii));
end
te = toc(te);
fprintf('Cellarray(doubles)->struct of arrays:d->sad: %0.3fs\n', te);
%%
clear iii cols te;
whos