Most Efficient Spreadsheet File

Hello,
I am going to write a Matlab script that will pull data from multiple Excel files. I imagine this script will take a long time to run. I was wondering if I could save my Excel files as a different file type to make the script work more efficiently. I will only be using one spreadsheet from each excel file and I am only going to be reading text from the Excel files.
Thanks.

3 Kommentare

Guillaume
Guillaume am 19 Nov. 2014
Considering it's pretty simple to write your script using xlsread:
  1. write the code as simply as possible not worrying about optimisation
  2. if code is too slow, run the profiler
  3. only then, if the profiler indicates that xlswrite is a bottleneck, replace it with something else.
There's little point in complicating the code if it brings little benefit (premature optimisation).
Image Analyst
Image Analyst am 19 Nov. 2014
Tell us how many files you will read. Is it more than about 5 or 10 or so?
Daniel
Daniel am 20 Nov. 2014
I am going to be reading 20-30 files. Each file will have roughly 2000 rows and 5 columns of data. Only one column of the data will be numeric, the other columns will be names, serial numbers, and comments.

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Antworten (2)

Image Analyst
Image Analyst am 19 Nov. 2014

1 Stimme

It will take a long time, unless you use ActiveX. See my attached ActiveX demo. With ActiveX it only opens and shutdowns Excel once instead of every single time you call xlsread().

3 Kommentare

Image Analyst
Image Analyst am 19 Nov. 2014
dlmread(), readtable(), and importdata() are also possible options if your data is formatted properly.
Image Analyst
Image Analyst am 20 Nov. 2014
For that amount of data, you certainly don't want to use xlsread(). You could use ActiveX, but if you can, I think the fastest way would be to convert the data to text (like a csv file) and use csvread(), dlmread(), or importdata(). ActiveX would be more complicated and probably not faster than these text-reading functions since ActiveX still has to launch Excel.
Daniel
Daniel am 20 Nov. 2014
I can't use csvread or dlmread because those are for numeric data only. I made a CSV file and tested the import speed using both importdata and textscan with a simple MATLAB script. Each time I imported the data, textscan was about 10-30 times faster than importdata.

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Evan
Evan am 19 Nov. 2014

0 Stimmen

If Image Analyst's solution doesn't work for you, you might try csvread. Assuming you're able to save your data in .csv format, I've found that csvread is a couple orders of magnitude faster than xlsread.

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