Split table from database into sub-tables dependent from timestamp difference
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Hi there,
I'm importing measurement data from a PostgreSQL database into one Matlab table, called data:
%% Make connection to database
conn = database('PostgreSQL','NameOfDatabase','Password');
%Set query to execute on the database
query = ['SELECT * ' ...
'FROM postgres.public.data'];
%% Execute query and fetch results
data = fetch(conn,query);
the data table looks like this:
timestamp ID x y z
'2019-07-22 15:46:24.919' 41034 32.5437012000000 6.59714985000000 0
'2019-07-22 15:46:25.019' 41034 32.5466003000000 6.59952021000000 0
'2019-07-22 15:46:25.119' 41034 32.5657997000000 6.60097980000000 0
'2019-07-22 15:46:25.219' 41034 32.5840988000000 6.59719992000000 0
'2019-07-22 15:46:25.319' 41034 32.5975990000000 6.59470987000000 0
'2019-07-22 15:46:25.419' 41034 32.6068001000000 6.59368992000000 0
'2019-07-22 15:46:25.519' 41034 32.6091003000000 6.59696007000000 0
'2019-07-22 15:46:25.619' 41034 32.6016006000000 6.59864998000000 0
'2019-07-22 15:46:25.719' 41034 32.5957985000000 6.59865999000000 0
Now I want to create a new table for each measurement. I can only distinguish the next measurement from a time difference (of a few seconds) in the timestamp column. This is somehow what I'm trying:
format long
data.timestamp = categorical(data.timestamp);
Difference = caldiff(data.timestamp);
Tablename = ('Mess' + 'Counter');
Counter = 0;
for each Difference > 2 seconds
% create new table (Tablename)
% insertrows from start to difference row
Counter = Counter + 1;
end
Is caldiff the right funktion for the very small time differences?
Thanks
1 个评论
Stephen23
2019-7-24
"Now I want to create a new table for each measurement"
Why?
MATLAB tables are designed to make it easy to group data and apply operations on those groups:
https://www.mathworks.com/help/matlab/matlab_prog/split-table-data-variables-and-apply-functions.html
In contrast, splitting up data like that usually just makes it harder to work with.
What is your actual goal? How do you wish to process your data?
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