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Effacer les filtres

How do I split this data into different column and write it back in a text file with an extention .bdf?

17 vues (au cours des 30 derniers jours)
I would like to split this data into different columns without any emoty cells and write it into a text file and save it as .bdf. Can you helps me ?
MAT1,88813,210000.0,,0.3,7.85e-09,,,,
MAT1,88815,210000.0,,0.3,7.85e-09,,,,
MAT1,88816,210000.0,,0.3,7.85e-09,,,,
MAT1,88817,210000.0,,0.3,7.85e-09,,,,
MAT1,88818,210000.0,,0.3,7.85e-09,,,,

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dpb
dpb le 5 Juil 2022
Modifié(e) : dpb le 6 Juil 2022
data=readlines('mat.fem');
M=split(data(startsWith(data,'MAT1'),:),',');
M(:,4)=num2str(rand(size(M,1),1));
modifies MAT1 as per request...
Now, we're still at a loss as to what to write -- you complain you can't remove empty columns, but say to write back in "the same original format" which would be comma-delimited with trailing empty fields.
So, which is it???
LATER RESUMPTION AFTER REFLECTION ON LIKELY SCENARIOS
OK, so presuming to take the "original" at face value, then next step is to replace the MAT1 section in the overall array and output the updated array --
M=join(M,','); % put back into csv form by line
ix=startsWith(data,'MAT1'); % locate in original array
data(ix)=M; % and replace with new/revised set
writematrix(data,'mat1.fem') % and write out
NB: I changed filename in last to not overwirte the original; salt to suit.
A minor efficiency improvement would be to compute the index vector ix first and use it to select M in the second line above as well -- saves doing same thing twice't as is in above as given.
  6 commentaires

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Plus de réponses (3)

dpb
dpb le 5 Juil 2022
Modifié(e) : dpb le 5 Juil 2022
So, what is this -- the content of some file, an array of text, a cell array... ??
What are we looking at here?
If it's a text file, simply
data=readcell('yourInputFile.ext');
data(:,all(~ismissing(string(data))));
will provide a cell array of the content w/o missing column(s).
Now, what is a ".bdf" file format to write???
ADDENDUM:
An alternative is to not bring in the empty cells to begin with -- use the import options object:
opt=detectImportOptions('addie.txt','MissingRule','omitvar');
data=readcell('yourInputFile.ext');
and your data array won't have missing variables in the first place.
We're still awaiting word on the output format to finish up...
  4 commentaires
Karim
Karim le 6 Juil 2022
the answers and comments has grown a bit, sorry if this is outdated :)
you are correct: the typical nastran input format is a fixed field format, where each field is made from 8 characters, the large field format uses the same princple but with 16 characters. And the free field format seperates the variables using comma's.
Following the standard field format (8 characters per variable), the mat1 line should look like
MAT1 888132.1000+5 0.3000007.8500-9
Adeline War
Adeline War le 9 Juil 2022
@dpb This is not working in my case. The data is not seperated into different columns. Thank you

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Karim
Karim le 5 Juil 2022
Modifié(e) : Karim le 5 Juil 2022
Hi @Adeline War, assumig you have the data in a string array, you can use the procedure below.
MyData = ["MAT1,88813,210000.0,,0.3,7.85e-09,,,,"
"MAT1,88815,210000.0,,0.3,7.85e-09,,,,"
"MAT1,88816,210000.0,,0.3,7.85e-09,,,,"
"MAT1,88817,210000.0,,0.3,7.85e-09,,,,"
"MAT1,88818,210000.0,,0.3,7.85e-09,,,,"]
MyData = 5×1 string array
"MAT1,88813,210000.0,,0.3,7.85e-09,,,," "MAT1,88815,210000.0,,0.3,7.85e-09,,,," "MAT1,88816,210000.0,,0.3,7.85e-09,,,," "MAT1,88817,210000.0,,0.3,7.85e-09,,,," "MAT1,88818,210000.0,,0.3,7.85e-09,,,,"
% replace the comma
MyData = strrep(MyData,","," ")
MyData = 5×1 string array
"MAT1 88813 210000.0 0.3 7.85e-09 " "MAT1 88815 210000.0 0.3 7.85e-09 " "MAT1 88816 210000.0 0.3 7.85e-09 " "MAT1 88817 210000.0 0.3 7.85e-09 " "MAT1 88818 210000.0 0.3 7.85e-09 "
% delete double spaces
MyData = regexprep(MyData,' +',' ')
MyData = 5×1 string array
"MAT1 88813 210000.0 0.3 7.85e-09 " "MAT1 88815 210000.0 0.3 7.85e-09 " "MAT1 88816 210000.0 0.3 7.85e-09 " "MAT1 88817 210000.0 0.3 7.85e-09 " "MAT1 88818 210000.0 0.3 7.85e-09 "
% print the data to .bdf file
MyFile = fopen('test.bdf','w+');
fprintf(MyFile,'%s\n',MyData);
fclose(MyFile);
  2 commentaires
dpb
dpb le 5 Juil 2022
@Adeline War Then see my Answer on how to remove the empty cells -- that's what the second line gives you starting with a cell array.
The real Q? still is the one about what is the required output format of the .bdf file?

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Adeline War
Adeline War le 5 Juil 2022
clc;
clear;
close;
[fp2 pn2] = uigetfile('mat.fem');
cd(pn2);
fileID = fopen(fp2);
C = textscan(fileID,'%s','Delimiter','\n');
a = C{1,1};
dm1=find(strncmp(a,'CTETRA',5));
dm2=(a(dm1));
dm4 = split(dm2,',');
mat = find(strncmp(a,'MAT1',3));
mat_1 = (a(mat));
F = split(mat_1,',');
I have attached here the code and file. I am unable to split MAT1 with comma delimeters and without empty column. Also, could we update 3rd column of MAT1 with any new random numbers and paste all this data in the same original format and save it as a .fem file. The only changes has to be for the MAT1 data.
  2 commentaires
dpb
dpb le 5 Juil 2022
Don't use Answer for comments/amplifications...either edit the original Q? or add comments.
I already showed you two ways to get rid of the empty columns...and you've introduced another file extension without addressing the Q? of the format of the first. Let's deal with one thing at a time.
Of course one can modify any data content at will, but let's deal with one topic at a time instead of randomly.
dpb
dpb le 5 Juil 2022
C = textscan(fileID,'%s','Delimiter','\n');
is archaic and worst possible way (other than, perhaps, impordata) to approach.
What release of MATLAB are you using? Unless it's very old and you can't update; this is NOT the way to write new code (and given the little code that is here that is optimal, there's no real good reason to keep this and not rewrite it more effeciently.)

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