Import several tables from one txt file in Matlab

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Alex Kashuba
Alex Kashuba 2021 年 3 月 26 日
コメント済み: Stephen23 2021 年 3 月 26 日
Hi All!
I'm trying to read several tables from one text file in Matlab. The format can be a bit adjusted, but the principle of the file structure is this:
#TableID tab01
Length Width
1 2
3 4
#TableID tab02
Weight Volume Density
10 20 0.5
30 40 0.75
50 100 0.5
I tried to follow this article "Import Block of Mixed Data from Text File into Table or Cell Array", but detectImportOptions always thinks it's one table. The DelimitedTextImportOptions object seems to support multiple sections for the DataLines property (see help), but I can't find the way to do it with detectImportOptions.
The long story short: How can I (preferably using detectImportOptions and not writing my own code) import the given text file, detect tables IDs, autodetect variables names for both tables, and get two tables themselves, i.e.
1 2
3 4
10 20 0.5
30 40 0.75
50 100 0.5
Thanks a lot in advance!
P.S. This example is no good for me, while a) no auto detection from variables names, b) no auto detection of the matrices separation (look which output he expects).


Stephen23 2021 年 3 月 26 日
編集済み: Stephen23 2021 年 3 月 26 日
str = fileread('temp.txt');
tkn = regexp(str,'^#TableID[^\n]*\s*([^\n]+)([^#]*)','lineanchors','tokens');
tkn = vertcat(tkn{:});
nml = size(tkn,1);
out = cell(1,nml);
for k = 1:nml
hdr = regexp(tkn{k,1},'\S+','match');
mat = sscanf(tkn{k,2},'%f',[numel(hdr),Inf]).';
out{k} = array2table(mat,'VariableNames',hdr);
ans = 2×2 table
Length Width ______ _____ 1 2 3 4
ans = 3×3 table
Weight Volume Density ______ ______ _______ 10 20 0.5 30 40 0.75 50 100 0.5
  2 件のコメント
Stephen23 2021 年 3 月 26 日
@Alex Kashuba: yes, I also tried using the inbuilt tools. There seems to be no way using the detectImportOptions and readtable process (shown in the link that you gave) to automatically adjust to the number of columns in the block being imported. It is certainly possible to mess around with the options structure and change the number of columns based on the file data somehow, but in the end that required significantly more effort than just importing the entire file and doing a bit of string manipulation.


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