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

 Réponse acceptée

Akira Agata
Akira Agata le 8 Sep 2017

1 vote

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 commentaires

eric capnu
eric capnu le 18 Sep 2017
T.Week is double, findgroups fails for double input arguments. Any idea?
>> 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 le 19 Sep 2017
my mistake, i was working on a 2014 matlab version

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Plus de réponses (1)

Guillaume
Guillaume le 8 Sep 2017

1 vote

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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