Dear all,
I have a txt file in the format like:
(70.0362+32052.7j)
(-1.16529e-12+29239.2j)
(-1.42109e-13+26859.3j)
...
Then I used the following code:
fid = fopen('ImpedanceMatrix1.txt','r');
A = textscan(fid,'%s');
fclose(fid);
A = A{:};
However, it doesn't remove the brackets in the variable. Could you please suggest me how to do that. Thanks.

3 commentaires

Stephen23
Stephen23 le 22 Mar 2018
Modifié(e) : Stephen23 le 22 Mar 2018
Why are you reading a file with numeric data using a string format? Why not just read the numeric data directly using a numeric format? Reading the data as a string and the post-processing (e.g. using regular expressions) is going to be quite inefficient.
Shan  Chu
Shan Chu le 22 Mar 2018
Hi sir, I am not good at Matlab. I used Load before but it doesn't work. Could you please suggest which function that I could use? Thanks
Stephen23
Stephen23 le 22 Mar 2018
Modifié(e) : Stephen23 le 22 Mar 2018
@Shan Chu: I did not write that you should use a different function. I wrote that you should import numeric data using a numeric format, not a string format: these are clearly explained in the textscan documentation. Currently you use '%s', which imports data as a string (a char vector), but instead simply import your data using %f, which will be much more efficient than what you do now. Check my answer to see how simple this is.

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 Réponse acceptée

Birdman
Birdman le 22 Mar 2018

0 votes

Try this:
regexprep(A,{'(',')'},{'',''})

8 commentaires

Shan  Chu
Shan Chu le 22 Mar 2018
Thank you sir. it works perfectly
Birdman
Birdman le 22 Mar 2018
You are welcome.
Shan  Chu
Shan Chu le 22 Mar 2018
Btw, I tried to use cell2mat to convert it to math type but it doesn't work. Could you please help?
Just simply
str2double(regexprep(A,{'(',')'},{'',''}))
Shan  Chu
Shan Chu le 22 Mar 2018
I see, The type is string not double. Thanks sir
Birdman
Birdman le 22 Mar 2018
;-)
Stephen23
Stephen23 le 22 Mar 2018
See my answer for a more efficient solution.
Birdman
Birdman le 22 Mar 2018
Yes, I saw as usual :)
But it is only a bit of more code in my case, of course your solution is more efficient.

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Plus de réponses (1)

Stephen23
Stephen23 le 22 Mar 2018
Modifié(e) : Stephen23 le 22 Mar 2018

0 votes

It is much more efficient to import the data using a numeric format (rather than as a string and doing post-processing as you are doing now). My test file is attached (you did not provide a sample file).
[fid,msg] = fopen('temp5.txt','rt');
assert(fid>=3,msg)
C = textscan(fid,'(%f)');
fclose(fid);
Giving:
>> C{1}
ans =
7.0036e+001 + 3.2053e+004i
-1.1653e-012 + 2.9239e+004i
-1.4211e-013 + 2.6859e+004i

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