tableA
Name Day Color Quantity
A 1 0 3
A 1 2 3
A 1 3 3
A 2 0 2
A 2 2 4
A 2 3 5
B 1 0 3
B 1 1 3
B 1 3 3
B 2 0 4
B 2 2 1
B 2 3 0
C 1 0 2
C 1 1 1
C 1 2 3
C 2 0 1
C 2 1 2
C 2 2 3
Results : Cumulative sum for each color over the days.
tableA_cumsum
Name Day Color Quantity
A 1 0 3
A 1 2 3
A 1 3 3
A 2 0 5
A 2 2 7
A 2 3 8
B 1 0 3
B 1 1 3
B 1 3 3
B 2 0 12
B 2 2 1
B 2 3 3
C 1 0 2
C 1 1 1
C 1 2 3
C 2 0 4
C 2 1 3
C 2 2 6
Was trying cumsum but not sure how to get the groupings done.

1 Kommentar

Frederick Awuah-Gyasi
Frederick Awuah-Gyasi am 20 Mai 2022
Bearbeitet: Frederick Awuah-Gyasi am 23 Mai 2022
check @Bruno Luong solution below (middle) . @Steven Lord and @_ yours is the 3rd one

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 Akzeptierte Antwort

Bruno Luong
Bruno Luong am 20 Mai 2022
Bearbeitet: Bruno Luong am 20 Mai 2022

1 Stimme

tableA = {"A" 1 0 3 ;
"A" 1 2 3 ;
"A" 1 3 3 ;
"A" 2 0 2;
"A" 2 2 4 ;
"A" 2 3 5;
"B" 1 0 3 ;
"B" 1 1 3 ;
"B" 1 3 3 ;
"B" 2 0 4 ;
"B" 2 2 1;
"C" 1 0 2 ;
"C" 1 1 1 ;
"C" 1 2 3 ;
"C" 2 0 1;
"C" 2 1 2;
"C" 2 2 3};
tableA = cell2table(tableA, "VariableNames",["Name" "Day" "Color" "Quantity"])
tableA = 17×4 table
Name Day Color Quantity ____ ___ _____ ________ "A" 1 0 3 "A" 1 2 3 "A" 1 3 3 "A" 2 0 2 "A" 2 2 4 "A" 2 3 5 "B" 1 0 3 "B" 1 1 3 "B" 1 3 3 "B" 2 0 4 "B" 2 2 1 "C" 1 0 2 "C" 1 1 1 "C" 1 2 3 "C" 2 0 1 "C" 2 1 2
[~,~,G]=unique([tableA.Name tableA.Color],"rows");
b = zeros(1,max(G));
tableA_cumsum = tableA;
for k=1:length(G)
Gk = G(k);
s = b(Gk) + tableA.Quantity(k);
tableA_cumsum.Quantity(k) = s;
b(Gk) = s;
end
tableA_cumsum
tableA_cumsum = 17×4 table
Name Day Color Quantity ____ ___ _____ ________ "A" 1 0 3 "A" 1 2 3 "A" 1 3 3 "A" 2 0 5 "A" 2 2 7 "A" 2 3 8 "B" 1 0 3 "B" 1 1 3 "B" 1 3 3 "B" 2 0 7 "B" 2 2 1 "C" 1 0 2 "C" 1 1 1 "C" 1 2 3 "C" 2 0 3 "C" 2 1 3

2 Kommentare

Frederick Awuah-Gyasi
Frederick Awuah-Gyasi am 20 Mai 2022
Thank you @Bruno Luong. I will test this out.
Frederick Awuah-Gyasi
Frederick Awuah-Gyasi am 23 Mai 2022
Tested further and this solution proved rather right. Thank you @Bruno Luong

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Weitere Antworten (1)

Steven Lord
Steven Lord am 20 Mai 2022

1 Stimme

Take a look at the grouptransform function.

6 Kommentare

Frederick Awuah-Gyasi
Frederick Awuah-Gyasi am 20 Mai 2022
Thanks you @Steven Lord I checked it out but does not seem to have 'sum' as an option. For this problem I want to have a cumulative sum for Quantity
You can specify a function handle to a function that satisfies certain conditions as the method input.
A = randi(3, 6, 1);
B = randi(10, 6, 1);
T = table(A, B)
T = 6×2 table
A B _ _ 1 8 2 3 3 2 3 5 3 8 1 9
grouptransform(T, 'A', @cumsum)
ans = 6×2 table
A B _ __ 1 8 2 3 3 2 3 7 3 15 1 17
Frederick Awuah-Gyasi
Frederick Awuah-Gyasi am 20 Mai 2022
@Steven Lord. Thank you. I see that it will work but the challenge is there is a 3 column which is needed but will not be used for the grouping .
Error using grouptransform (line 301)
Unable to apply method to data variable 'Days'.
I wish there is a way to take it out do the groupTransform and join to have it back in place.
"I wish there is a way to take it out do the groupTransform and join to have it back in place."
Try this:
Name = char('A' + randi([0 2], 18, 1));
Day = randi(2, 18, 1);
Color = randi([0 3], 18, 1);
Quantity = randi([0 5], 18, 1);
T = table(Name, Day, Color, Quantity)
T = 18×4 table
Name Day Color Quantity ____ ___ _____ ________ C 2 0 1 C 2 2 2 C 2 3 3 A 1 0 3 C 2 0 2 C 2 2 0 A 2 1 2 B 2 2 1 C 2 1 5 C 1 1 0 B 2 2 1 C 1 0 4 A 2 3 4 C 1 1 2 A 2 1 4 C 1 1 0
T(:,{'Color' 'Quantity'}) = grouptransform(T(:,{'Color' 'Quantity'}), 'Color', @cumsum)
T = 18×4 table
Name Day Color Quantity ____ ___ _____ ________ C 2 0 1 C 2 2 2 C 2 3 3 A 1 0 4 C 2 0 6 C 2 2 2 A 2 1 2 B 2 2 3 C 2 1 7 C 1 1 7 B 2 2 4 C 1 0 10 A 2 3 7 C 1 1 9 A 2 1 13 C 1 1 13
Frederick Awuah-Gyasi
Frederick Awuah-Gyasi am 20 Mai 2022
@_ This worked perfectly. Thanks so much.Thank you @Steven Lord
Frederick Awuah-Gyasi
Frederick Awuah-Gyasi am 23 Mai 2022
@_ yours provided the 3rd results.

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