Deriving specific rows from a large text files
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Hello! I am very new at MATLAB and am still learning. I have a 66 million row dataset in the form of a text file. I need to pull certain rows from the list to create a new list. Specifically, the data presents as:
Time,Pressure,Sea pressure,Depth
2018-08-25 16:10:26.000,10.2011833,0.0686833,0.0681232
The data isn't in separate columns, it's comma separated (except date and time, which are separated by a space). The new list needs to contain anything with a time stamp that ends in milliseconds of:
.000
.125
.375
.500
.625
.750
.875
I am not sure what the best way would be to address this. Any help would be greatly appreciated!
14 Comments
Accepted Answer
Akira Agata
on 29 Oct 2018
I would recommend updating your MATLAB to the latest version, since R2015a does not support many useful functions for your task, such as retime. If you have to do your task in old MATLAB for some reasons, the following would be one possible solution.
T = readtable('sample1.txt',...
'ReadVariableNames', false,...
'HeaderLines', 1);
T.Properties.VariableNames = {'Time','Pressure','SeaPressure','Depth'};
c = regexp(T.Time,'(000|125|250|375|500|625|750|875)$','match');
idx = cellfun(@isempty,c);
T = T(~idx,:);
More Answers (1)
dpb
on 28 Oct 2018
Read as table or timetable; deal with the asterisks as needs must depending on whether they're real or not...
Two alternatives, retime to a specific vector means making a new time vector; the alternative would be to find the locations matching the desired times..
t=readtable('yourfile');
ix=ismember((t.Time-fix(t.Time))*1000,[0:7]*125)); % locate millisec multiples of 125
t=t(ix,:); % save those into the desired table
15 Comments
Walter Roberson
on 3 Nov 2018
t = readtable('sample1.txt'); %up to R2018b still cannot autodetect times with fractions of a second, even if detectImportOptions is used
tt = datetime(t.Time, 'inputformat', 'yyyy-MM-dd HH:mm:ss.SSS');
s = mod(second(tt),1) * 1000;
mask = ismember(s, 0:125:875);
selected = t(mask,:);
However, with that particular data, this can be shorted to
t = readtable('sample1.txt');
selected = t(1:2:end, :);
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