Import data from txt file

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Ferdinand Grosse-Dunker
Ferdinand Grosse-Dunker el 16 de Jul. de 2019
Comentada: Adam Danz el 16 de Jul. de 2019
Hi there,
my txt file looks like this: (see attached txt file)
What I try to get is a simple table with lines like this:
frame; timestamp [s]; loc_x; loc_y; loc_z
1007; 52045.728; -135.966; 225.786; -52.285
1008; 52045.745; -135.966; 225.786; -52.285
How can I do this? Thanks
  3 comentarios
Rik
Rik el 16 de Jul. de 2019
Do you need code that only works on this file, or should it also handle multiple bodies being tracked?
What have you tried so far on your own?
Ferdinand Grosse-Dunker
Ferdinand Grosse-Dunker el 16 de Jul. de 2019
In line 1 of each block is the frame number (1007) and the timestamp (52045.728 seconds)
In line 10 of each block is the location and rotation data. Starting with location (loc_x, loc_y, loc_z) then rotation (rot_xx, rot_xy, rot_xz; rot_yx, rot_yy, rot_yz; rot_zx, rot_zy, rot_zz).
All other lines of each block are not necessary.

Iniciar sesión para comentar.

Respuesta aceptada

Adam Danz
Adam Danz el 16 de Jul. de 2019
Editada: Adam Danz el 16 de Jul. de 2019
This uses readtable() to read in your txt file and it uses regexp() with the 'tokens' flag to pull out relevant data.
%% Import data into table
opts = delimitedTextImportOptions("NumVariables", 1);
opts.DataLines = [1, Inf];
opts.VariableNames = "txt";
test1 = readtable("test1.txt", opts); %file is on path
%% Extract desired data
% Pull out the frame and ts data
tokens = regexp(test1.txt, 'frame (\d+) ts (\d+.\d+)', 'tokens');
frame_ts = cell2mat(cellfun(@str2double,[tokens{:}]','UniformOutput',false));
% Pull out loc coordinates
tokens = regexp(test1.txt, '^loc (-?\d+.\d+) (-?\d+.\d+) (-?\d+.\d+)', 'tokens');
loc = cell2mat(cellfun(@str2double,[tokens{:}]','UniformOutput',false));
% Check that frame_ts and loc have same number of rows.
if size(frame_ts,1) ~= size(loc,1)
error('''frame_ts'' and ''loc'' have different number of rows.')
end
%% Put data into table
T = array2table([frame_ts, loc], 'VariableNames', {'frame', 'timestamp', 'loc_x', 'loc_y', 'loc_z'});
% inspect first few rows
head(T)
Result
format long
>> head(T)
ans =
8×5 table
frame timestamp loc_x loc_y loc_z
_____ _________ ________ _______ _______
1007 52045.728 -135.966 225.786 -52.285
1008 52045.745 -135.966 225.786 -52.285
1009 52045.761 -135.967 225.786 -52.283
1010 52045.778 -135.967 225.786 -52.283
1011 52045.795 -135.967 225.786 -52.283
1012 52045.811 -135.967 225.786 -52.283
1013 52045.828 -135.967 225.786 -52.283
1014 52045.845 -135.967 225.786 -52.283

Más respuestas (1)

Ferdinand Grosse-Dunker
Ferdinand Grosse-Dunker el 16 de Jul. de 2019
This works great! Thanks a lot Adam!

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