is there an easy way to import data separated by brackets
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I have some data in this form:
((0,0),(0.1,5),(0.2,7.5))
anyone have any idea how to import it? i would like it in a matrix in the form of
0 0
0.1 5
0.2 7.5
Thanks for your help
Mike
2 comentarios
per isakson
el 9 de Oct. de 2012
Editada: per isakson
el 9 de Oct. de 2012
- "import" implies text file?
- the text file contains several rows?
- does your comment imply that the result shall be a <3x2xnumber_of_lines > double array?
Respuesta aceptada
per isakson
el 9 de Oct. de 2012
Editada: per isakson
el 11 de Oct. de 2012
Hint:
str = '((0,0),(0.1,5),(0.2,7.5))';
M = textscan( str, '%f%f%f%f%f%f' ...
, 'Delimiter', ',' ...
, 'Whitespace', '() ' ...
, 'CollectOutput', true );
>> M{:}
ans =
0 0 0.1000 5.0000 0.2000 7.5000
>>
and reshape
>> transpose(reshape( M{:}, [2,3]))
ans =
0 0
0.1000 5.0000
0.2000 7.5000
.
replace str by a file id
fid = fopen( ...
M = textscan( fid, ...
.
--- reading from file ---
fid = fopen( 'cssm.txt' );
M = textscan( fid, '%f' ...
, 'Delimiter' , ',' ...
, 'Whitespace' , '() ' ...
, 'CollectOutput', true );
fclose( fid );
permute( reshape( M{:}, 2,3,4 ), [ 2,1,3 ] )
permute( reshape( M{:}, 2,3,[]), [ 2,1,3 ] )
where cssm.txt contains
((0,0),(0.1,5),(0.2,7.5))
((1,1),(0.1,5),(0.2,7.5))
((2,2),(0.1,5),(0.2,7.5))
((3,3),(0.1,5),(0.2,7.5))
outputs
ans(:,:,1) =
0 0
0.1000 5.0000
0.2000 7.5000
ans(:,:,2) =
1.0000 1.0000
0.1000 5.0000
0.2000 7.5000
ans(:,:,3) =
2.0000 2.0000
0.1000 5.0000
0.2000 7.5000
ans(:,:,4) =
3.0000 3.0000
0.1000 5.0000
0.2000 7.5000
.
--- a variation ---
fid = fopen( 'cssm.txt' );
M = textscan( fid, '%f' ...
, 'Delimiter' , ',() ' ...
, 'MultipleDelimsAsOne' , true ...
... , 'Whitespace' , '() ' ...
, 'CollectOutput' , true );
fclose( fid );
permute( reshape( M{:}, 2,3,[] ), [ 2,1,3 ] )
.
Comment: These constructs does not use the information hold by the parentheses. Furthermore, there is not test that the file confirms to the assumed format. With some clever use of regular expressions it would be possible to make a more robust code.
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