将一系列 .mat 文件转换为一个 CSV 文件
我希望这是有道理的：
我有一系列 .mat 文件，我想用它们来训练 weka 分类器，并且我需要将这些 .mat 文件全部放入一个大 .CSV 文件中才能执行此操作。
我的每个文件都包含一个具有大约 120 个值的特征向量。
作为这个环境的全新人，我编写了一个简单的脚本来将所有这些向量连接成一个长向量，这并没有真正帮助我。
function c = csv()
for i = 1:99
if i>9
fname = strcat('Betas00', int2str(i));
else
fname = strcat('Betas000', int2str(i));
end
fext = strcat(fname, '.mat');
//fext
filename = sprintf("%s", fext);
load(filename);
dlmwrite('test.txt', fext, '-append');
dlmwrite('test.txt', ignmds, '-append');
end
它不漂亮，但是有人可以解释我如何使用这些基本概念来做我想做的事吗？获得一个包含 99 个特征向量的 CSV 文件？请？漂亮吗？
希望一切都有意义！
I hope this makes sense:
I have a series of .mat files that i want to use to train a weka classifier and I need to get these .mat files all into one big .CSV file to do so.
My files each contain an eigenvector which hast around 120 values.
Being brand spanking new to this enviroment, i wrote a simple script to concat all these vectos into one long vector, which doesnt really help me.
function c = csv()
for i = 1:99
if i>9
fname = strcat('Betas00', int2str(i));
else
fname = strcat('Betas000', int2str(i));
end
fext = strcat(fname, '.mat');
//fext
filename = sprintf("%s", fext);
load(filename);
dlmwrite('test.txt', fext, '-append');
dlmwrite('test.txt', ignmds, '-append');
end
Its not pretty, but can someone explain how i can use these basic concepts to do what i want? to get a CSV file which has 99 eigenvectors in it? Please? Pretty Please?
Hope that all makes sense!
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评论（1）
看起来你已经完成了，还需要做什么？
顺便说一句，您可能想将 if 替换为：
It looks like you've done it already, what is left to do?
By the way you may want to replace your if with: