How do I split this data into different column and write it back in a text file with an extention .bdf?
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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
2022-7-5
编辑:dpb
2022-7-6
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.
更多回答(3 个)
dpb
2022-7-5
编辑:dpb
2022-7-5
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 个评论
Karim
2022-7-6
the answers and comments has grown a bit, sorry if this is outdated :)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
Karim
2022-7-5
编辑:Karim
2022-7-5
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,,,,"]
% replace the comma
MyData = strrep(MyData,","," ")
% delete double spaces
MyData = regexprep(MyData,' +',' ')
% print the data to .bdf file
MyFile = fopen('test.bdf','w+');
fprintf(MyFile,'%s\n',MyData);
fclose(MyFile);
2 个评论
dpb
2022-7-5
@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?
Adeline War
2022-7-5
2 个评论
dpb
2022-7-5
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
2022-7-5
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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