Efficient way to read in large dataset
1 次查看(过去 30 天)
显示 更早的评论
Hi all.
I am to read in a set of data to Matlab which has 6 columns and more than 2 million rows. I tried reading the data as a tab delimited .txt file with the dataset function as such:
pricedata = ...
dataset('File',file,'Delimiter','tab','ReadObsNames',true) ;
This has gone on for more than 3 hours. Can someone suggest a better way to do it?
0 个评论
采纳的回答
Peter Perkins
2011-11-1
Mads, you will most likely find that this:
>> help dataset/dataset
dataset Create a dataset array.
[snip]
DS = dataset('File',FILENAME,'Format',FORMAT, ...) creates
a dataset array using the TEXTSCAN function to read column-
oriented data in a text file. Specifying a format can
improve speed significantly for large files.
will read the file much faster. In your case, FORMAT might be something like '%f%f%f%f%f%f' if all the columns are numeric. Hope it helps.
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Data Type Conversion 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!