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grouping elements from a table

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eric capnu
eric capnu on 7 Sep 2017
Commented: eric capnu on 19 Sep 2017
Hi everyone:
i have a table like this:
Week Open High Low Close
---- ---- ---- --- -----
10 1.2 1.4 1.1 1.2
10 1.5 1.7 1.5 1.6
10 1.4 2.1 1.3 2
10 2.2 2.4 2 2.1
11 2 2.1 2 2
11 2.2 2.5 1.1 1.3
12 1.7 1.9 1.6 1.6
12 1.8 1.9 0.6 1.4
12 0.9 1.4 0.8 1
is there a way to get the first element(open), maximum element(high), minimum element(low) and last element (close) for each week? so the result table would be
Week Open High Low Close
---- ---- ---- --- -----
10 1.2 2.4 1.1 2.1
11 2 2.5 1.1 1.3
12 1.7 1.9 0.6 1
thanks in advance

Accepted Answer

Akira Agata
Akira Agata on 8 Sep 2017
Assuming your table is T, the following code can generate what you want.
[group, id] = findgroups(T.Week);
func = @(p, q, r, s) [p(1), max(q), min(r), s(end)];
result = splitapply(func, T.Open, T.High, T.Low, T.Close, group)
Tout = array2table([id, result],...
'VariableNames', T.Properties.VariableNames);
  3 Comments
Walter Roberson
Walter Roberson on 18 Sep 2017
>> findgroups([1 2.5 2 2.5 1])
ans =
1 3 2 3 1
Looks like it works for double to me.
eric capnu
eric capnu on 19 Sep 2017
my mistake, i was working on a 2014 matlab version

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More Answers (1)

Guillaume
Guillaume on 8 Sep 2017
Step 1: define a function in its own m file that applies the appropriate filter to each column (unfortunately, you can't use anonymous functions for this):
function [firstopen, maxhigh, minlow, lastclose] = filtercols(open, high, low, close)
firstopen = open(1); %first element
maxhigh = max(high);
minlow = min(low);
lastclose = close(end); %last element
end
Step 2: use that function with rowfun
t = array2table([
10 1.2 1.4 1.1 1.2
10 1.5 1.7 1.5 1.6
10 1.4 2.1 1.3 2
10 2.2 2.4 2 2.1
11 2 2.1 2 2
11 2.2 2.5 1.1 1.3
12 1.7 1.9 1.6 1.6
12 1.8 1.9 0.6 1.4
12 0.9 1.4 0.8 1], ...
'VariableNames', {'Week', 'Open', 'High', 'Low', 'Close'});
result = rowfun(@filtercols, t, 'GroupingVariable', 'Week', 'NumOutputs', 4, 'OutputVariableNames', {'Open', 'High', 'Low', 'Close'})
The only potential issue is that the order in which the rows are grouped together by rowfun is not documented, so it may be that the first element and last element are not the correct ones. In my version of matlab (R2017a), it is correct.

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