Using something faster than xlswrite()?

I am using xlswrite to save the outputs each time, so this calls to open excel and its consuming a lot of time. Is there any other faster process for this ?

Answers (2)

Star Strider
Star Strider on 27 Jun 2016
I’m not certain what you’re doing, but I would save the intermediate results to a numeric or cell array, then save the array after the loop in one xlswrite call.

1 Comment

Yeah, I used xlswrite after getting the whole output to save it, but even one call is taking aroung 3 sec atleast!

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If by "each time" you mean in a loop, yes, that will take forever, except for more modern versions, like R2015b or later. That's each time you call xlswrite() it has to launch Excel, toss in your data, then shut down Excel. Later versions leave Excel running, which is faster (but which causes other problems by the way). So, what version are you running?
Like Star said, a faster way for all versions is to build your cell array only and THEN write a cell array with a single call to xlswrite().

4 Comments

ck
ck on 27 Jun 2016
Edited: ck on 27 Jun 2016
Oh!, I'm using R2013a. I open all columns and rows and write only after the final output is achieved. Say I get the output in 'b' as
4566776666
4545556666
4545555242
2342344433
2423656523
2443344334
so it is a (6x1) matrix then I use xlswrite('myfile.xslx',b) at the end.
So can I know how different would building cell array be than the above method code wise , if possible?
Thank you.
What is b? The 2d 6-by-10 matrix you said was b, or just one column - a 6-by-1 matrix?
If it's the whole 6x10 matrix and you call it just once, there should be no problem If you call xlswrite 10 times, then that will take a very long time.
b is a 6x1 matrix , so if I call it once it takes around 3 or 3.5 sec.
So just store b in a 2D array, then call xlswrite
b2d = zeros(6, 10); % Preallocate for speed.
for column = 1 : 10
% Get b
this_b = whatever.....
% Store in 2D array in this column.
b2d(:, column) = this_b;
end
xlswrite(filename, b2d, 'A1');

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Asked:

ck
on 27 Jun 2016

Edited:

on 28 Jun 2016

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