Load Data in Scilab: 4000x2 Matrix Issue

[ndnkyd]

I am trying to load a 4000x2 matix of coordinates into Scilab using loadmatfile("-ascii","filename") and Scilab gets hung up. Not sure if it is the file size or my coding. Anyone know a code that would be more effecient to load this type of data, either 4000x2 or 4000x3?

 

[ndnkyd]

The code I was looking for is:

A=read(filename,-1,3)

 

[quicknote]

There could be several reasons why Scilab is getting hung up while loading a 4000x2 matrix of coordinates. It is possible that the file size is too large for Scilab to handle efficiently, or there may be an issue with your coding.

One potential solution could be to break the data into smaller chunks and load them separately. This could help alleviate any potential memory issues that may be causing Scilab to hang up. Another option could be to try a different file format, such as a CSV or Excel file, to see if that improves the loading process.

Additionally, it may be helpful to check for any errors in your coding that could be causing the issue. Double-checking the syntax and ensuring that the file is formatted correctly can also help troubleshoot the problem.

In terms of efficiency, it may be worth exploring other file formats or functions within Scilab that could handle large datasets more effectively. You could also consider using parallel processing techniques to speed up the loading process.

Overall, there is not a specific code that is more efficient for loading a 4000x2 or 4000x3 matrix, as it will depend on the specific data and your coding approach. It may require some experimentation and troubleshooting to find the most efficient solution for your particular dataset.