Efficiently Import Data with MATLAB's xlsread Function | Tips & Tricks

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SUMMARY

The discussion focuses on efficiently importing data from an Excel spreadsheet using MATLAB's "xlsread" function. The user, Mike, seeks to import a specific range defined by variable row numbers "t" and "b" instead of loading the entire dataset. A solution is provided using the "sprintf()" function to dynamically create the range string for "xlsread". This method is confirmed to work effectively for large datasets exceeding 100,000 rows.

PREREQUISITES
  • Familiarity with MATLAB programming
  • Understanding of the "xlsread" function in MATLAB
  • Basic knowledge of string manipulation in MATLAB
  • Experience with Excel data structures
NEXT STEPS
  • Explore advanced features of MATLAB's "xlsread" function
  • Learn about the "sprintf()" function for string formatting in MATLAB
  • Investigate alternatives to "xlsread" such as "readtable" for improved performance
  • Research best practices for handling large datasets in MATLAB
USEFUL FOR

Data analysts, MATLAB users, and anyone working with large Excel datasets who need efficient data import techniques.

mikeph
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MATLAB "xlsread" function

Hello

I am trying to import some data from an Excel spreadsheet, however the range is a variable in my code. For example, I have "t" and "b" as numbers which specify the top and bottom rows of the data I need.

For example I need:

A = xlsread('test.xls','A3:A10');

however I need to to import, in general, A"t" to A"b", where t and b are the row numbers.

The Excel file is very large (>10^5 rows) so I would very much like to avoid importing the entire spreadsheet and then filtering it MATLAB.

Thanks for any help,
Mike
 
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You can use the "sprintf()" function in MATLAB to create the necessary input string.

It is very similar to the C version in terms of usage. If you haven't used it, just search through the MATLAB help documentation.
 


Hello, that is brilliant, does exactly what I need. Thanks a lot.
 

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