how to read a txt file having alphanumeric data and special characters. ? My text file is like this. I tried textread but could not get a result. any suggestion.

조회 수: 7 (최근 30일)
1 6:s 6:s 0 0 0 0.11 0 *0.889
2 6:s 6:s 0 0.272 0 0.006 0 *0.722
3 6:s 6:s 0 0.036 0 0 0.001 *0.963
4 6:s 6:s 0 0 0 0 0 *1
5 6:s 6:s 0 0 0 0 0 *1
6 6:s 3:f + 0 0.238 *0.365 0.009 0.033 0.355
7 6:s 5:n + 0 0 0 0 *0.999 0.001
8 6:s 6:s 0 0 0 0 0 *1
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Muhammad Shoaib
Muhammad Shoaib 2018년 8월 14일
Thanx Jonas, I want the last six columns on output containing only the numeric data.

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채택된 답변

Stephen23
Stephen23 2018년 8월 14일
편집: Stephen23 2018년 8월 14일
Here is an efficient solution using textscan. The test file is attached (you did not provide us with a sample file).
opt = {'Delimiter',' +*:','MultipleDelimsAsOne',true,'CollectOutput',true};
fmt = ['%*d%*d%*s%*d%*s',repmat('%f',1,6)];
[fid,msg] = fopen('test.txt','rt');
assert(fid>=3,msg)
C = textscan(fid,fmt,opt{:});
fclose(fid);
Which imports that last six columns of numeric data:
>> C{1}
ans =
0.00000 0.00000 0.00000 0.11000 0.00000 0.88900
0.00000 0.27200 0.00000 0.00600 0.00000 0.72200
0.00000 0.03600 0.00000 0.00000 0.00100 0.96300
0.00000 0.00000 0.00000 0.00000 0.00000 1.00000
0.00000 0.00000 0.00000 0.00000 0.00000 1.00000
0.00000 0.23800 0.36500 0.00900 0.03300 0.35500
0.00000 0.00000 0.00000 0.00000 0.99900 0.00100
0.00000 0.00000 0.00000 0.00000 0.00000 1.00000
  댓글 수: 4
jonas
jonas 2018년 8월 14일
Don't forget to accept the answer so that future readers can see that the issue was resolved.

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추가 답변 (1개)

jonas
jonas 2018년 8월 14일
편집: jonas 2018년 8월 14일
str=fileread('notes.txt');
str=regexprep(str,'[:+*a-zA-Z]',' ')
opt = {'Delimiter',' ','MultipleDelimsAsOne',true,'CollectOutput',true};
out = textscan(str,'%f%f%f%f%f%f%f%f%f',opt{:})
  댓글 수: 7
jonas
jonas 2018년 8월 14일
No problem! I'll refrain from deleting this answer as it shows how to use regexprep to clean up a textfile but make sure to accept the other one :)
Stephen23
Stephen23 2018년 8월 14일
편집: Stephen23 2018년 8월 14일
+1 this is a good idea, very useful for complex/unusual file formats. Do not delete!

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