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

 Akzeptierte Antwort

Akira Agata
Akira Agata am 8 Sep. 2017

1 Stimme

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 Kommentare

eric capnu
eric capnu am 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 am 19 Sep. 2017
my mistake, i was working on a 2014 matlab version

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Weitere Antworten (1)

Guillaume
Guillaume am 8 Sep. 2017

1 Stimme

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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