Finding the number of datapoints in a text file
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I have multiples text files each with a header, 200 data points, and a footer. I'm trying to figure out a way of making a script capable of finding where the datapoints start and stop in each file, and load those data points into a workspace table.
I've attached a text file to make it easier to understand what I'm working with.
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Rik
2020-8-19
编辑:Rik
2020-8-19
It looks like you can look for the line with '[data]' on it, and continue until the first line that doesn't start with a digit or a minus sign.
The code below takes the scenic route, but it gets there in the end. If you have a very large number of files you may want to consider a more efficient method.
A=readfile('https://www.mathworks.com/matlabcentral/answers/uploaded_files/348641/IN01_SCALED.txt');
n_start=0;n_end=-1;
for n=1:numel(A)
if strcmpi(A{n},'[data]')
n_start=n+1;
end
if n_start>0 && n>=n_start
if ~any(A{n}(1)=='-0123456789')
n_end=n-1;
break
end
end
end
B=A(n_start:n_end);
B=cellfun(@(x) cellfun(@str2double,strsplit(x,',')),B,'UniformOutput',0);
B=cell2mat(B);
Let's stretch the definition of what an earlier release is. I made the above code compatible with just about any Matlab release. I didn't test it, but it should work with releases as far back as R13 (version 6.5). For the modern code I used the solution by Star Strider.
UseFallbackMethod=true;try if ~verLessThan('matlab','9.6'),UseFallbackMethod=false;end,catch,end
if UseFallbackMethod
A=readfile('https://www.mathworks.com/matlabcentral/answers/uploaded_files/348641/IN01_SCALED.txt');
n_start=0;n_end=-1;
for n=1:numel(A)
if strcmpi(A{n},'[data]'),n_start=n+1;end
if n_start>0 && n>=n_start && ~any(A{n}(1)=='-0123456789')
n_end=n-1;break
end
end
B=A(n_start:n_end);
%the loop below is equivalent to:
%B=cellfun(@(x) cellfun(@str2double,strsplit(x,',')),B,'UniformOutput',0);
for n=1:numel(B)
s=strfind(B{n},',');
split=zeros(1,numel(s)+1);
start_index=[s numel(B{n})+1];
stop_index=[0 s];
for m=1:numel(start_index)
str=B{n}((stop_index(m)+1):(start_index(m)-1));
split(m)=str2double(str);
end
B{n}=split;
end
B=cell2mat(B);
else
B = readmatrix('IN01_SCALED.txt');
nonan = ~isnan(B);
B = [B(nonan(:,1),1) B(nonan(:,2),2)];
end
更多回答(1 个)
Star Strider
2020-8-19
Another option:
A1 = readmatrix('IN01_SCALED.txt');
nonan = ~isnan(A1);
A1 = [A1(nonan(:,1),1) A1(nonan(:,2),2)];
This actually takes care of all the header lines itself, and produces the (201x2) array in ‘A1’. The only drawback is that the readmatrix function was introduced in R2019a, so this will not work for earlier releases.
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