- Is   cutTDM400_111_111_000_000_000   a sample name?
- Does   [1;33m--- Initializing LBM Domain   indicate the beginning of a "cell" ?
- I would use fileread and regexp
Extracting information from file
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I am trying to extract information from the attached file and write them into a matrix with one column each from sample name, number of cells and porosity. I have been trying textscan and sscanf, but am not sure how to search the structure of the text.
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per isakson
2016-3-8
编辑:per isakson
2016-3-8
Now, I think I understand. The word "cells" in "Num of cells" has nothing to do with the word "cell" in "beginning of a cell is indicated".
First, I thought you wanted to count some kind of "sections" of the file. I missed "Num of cells = 32000000" when I first browsed the file.
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per isakson
2016-3-8
编辑:per isakson
2016-3-8
This is one way to read the your file
>> tic, sas = nohup, toc sas = 1x1173 struct array with fields: SampleName NumOfCells Porosity Elapsed time is 27.000338 seconds. >> ix = find( strcmp( {sas.SampleName}, 'cutTDM050_111_121_221_222_122' ) ) ix = 583 >> sas(ix).Porosity ans = 0.0828 0.0828 0.0828 >> sas(ix).NumOfCells ans = 125000 125000 125000
where (in one m-file)
function sas = nohup %% str = fileread( 'nohup.txt' ); %% heading_string = 'Running Sample'; trailing_string = '=============================================='; % xpr = sprintf( '(?<=%s).+?(?=%s)', heading_string, trailing_string ); cac = regexp( str, xpr, 'match' ); %% sas = struct( 'SampleName',repmat({''},[1,length(cac)]) ... , 'NumOfCells',{[]}, 'Porosity', {[]} ); for jj = 1 : length( cac ) sas(jj) = nohup_( cac{jj} ); end end function sas = nohup_( str ) % sas.SampleName ... = regexp( str, 'cutTDM\d{3}_\d{3}_\d{3}_\d{3}_\d{3}_\d{3}', 'match', 'once' ); % cac = regexp( str, '(?<=Num of cells +\= *)\d+', 'match' ); sas.NumOfCells = str2double( cac ); % cac = regexp( str, '(?<=Porosity +\= *)[\d+\.]+', 'match' ); sas.Porosity = str2double( cac ); end
 
Comments:
The function is slow. Nearly all the time is spend with regexp searching for "Num of cells" and "Porosity". "the Num of cells and porosity value are the same." may be used improve speed. Adding 'once' to these two calls of regexp increases the speed forty times. That's much more than I anticipated; I don't understand; I cannot see what's taking all the extra time.
>> tic, sas = nohup, toc sas = 1x1173 struct array with fields: SampleName NumOfCells Porosity Elapsed time is 0.645206 seconds. >> ix = find( strcmp( {sas.SampleName}, 'cutTDM050_111_121_221_222_122' ) ) ix = 583 >> sas(ix).Porosity ans = 0.0828 >> sas(ix).NumOfCells ans = 125000 >>
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