What is the fastest way to load many large files and then reuse that data
53 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
I have upwards of 200 .csv files that are around 500 MB each. Each file contains a one line text header and 10 columns of numeric data with many, many rows. I only need to load columns 2-4 once from any one of the files as that information is identical in all files. From all of the files, I need columns 5-8 only. The files are all in one folder with a systematic naming convention if that helps at all. What is the fastest way to do this the first time? I've tried importdata, textscan, and readmatrix and have either not been able to do what I want above or have found it still too slow. Once it's loaded, I'll do some manipulation and save it as a .mat to work on later. Am I right that saving as .mat will produce the fastest load times in the future?
3 comentarios
Walter Roberson
el 20 de Ag. de 2020
textscan() with %* formats to skip columns is probably about the fastest you are going to get.
Respuestas (1)
Ver también
Categorías
Más información sobre Data Import and Export en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!