如何在Octave中有效地从csv读取大型矩阵 [英] How to read large matrix from a csv efficiently in Octave

问题描述

有许多关于Octave dlmread性能下降的报告.我希望此问题已在3.2.4中修复，但是当我尝试加载大小为ca的csv文件时. 8 * 4百万(总计3200万)，这也花费了非常非常长的时间.我在网上搜索，但找不到解决方法.有人知道一个好的解决方法吗?

There are many reports of slow performance of Octave's dlmread. I was hoping that this was fixed in 3.2.4, but when I tried to load a csv file that has a size of ca. 8 * 4 mil (32 mil in total), it also took very, very long time. I searched the web but could not find a workaround for this. Does anybody know a good workaround?

推荐答案

我遇到了相同的问题，并且使用了R，所以我的解决方案是在R中使用"read.csv"，然后使用R包"R". matlab"中写入".mat"文件，然后将其加载到Octave中.

I experienced the same problem and had R handy, so my solution was to use "read.csv" in R, and then use the R package "R.matlab" to write a ".mat" file, and then load that in Octave.

"read.csv"也可能非常慢，但这在我的情况下效果很好.

"read.csv" can be pretty slow too, but this worked very well in my case.

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