Cumulative sum with multiple constraints

Hello,
i'm trying to calculate a cumulative sum (of column value) in a table with two constraints in different columns (date, time).
The cumulative sum should add all values for equal dates and timesteps. The amount of values per date and timestep might be variable.
date = [20190101; 20190101; 20190101; 20190101; 20190101; 20190101; 20190101; 20190102; 20190102; 20190102; 20190102; 20190102];
time = [0; 0; 0; 0; 12; 12; 12; 0; 0; 12; 12; 12];
value = [2; 7; 5; 3; 5; 4; 1; 6; 8; 2; 5; 8];
T = table (date, time, value);
The cumulative sum in the fourth column of the table should be like:
csum = [2; 9; 14; 17; 5; 9; 10; 6; 14; 2; 7; 15]
Thanks!

 채택된 답변

Kaustav Bhattacharya
Kaustav Bhattacharya 2019년 6월 25일

0 개 추천

start = 0;
cumulativesum = zeros(height(T),1);
for row = 1:height(T)
if row == 1
cumulativesum(row) = T.value(row);
start = 1;
elseif T.date(row-1) == T.date(row) && T.time(row-1) == T.time(row)
cumulativesum(row) = sum(T.value(start:row));
else
start = row;
cumulativesum(row) = T.value(row);
end
end
'cumulativesum' gives you the result you were looking for.

추가 답변 (2개)

Prasanth Sikakollu
Prasanth Sikakollu 2019년 6월 25일

0 개 추천

You can try the following code to get the cumulative sum as fourth column in table T.
date = [20190101; 20190101; 20190101; 20190101; 20190101; 20190101; 20190101; 20190102; 20190102; 20190102; 20190102; 20190102];
time = [0; 0; 0; 0; 12; 12; 12; 0; 0; 12; 12; 12];
value = [2; 7; 5; 3; 5; 4; 1; 6; 8; 2; 5; 8];
csum = [value(1)] % Initialising the array with value(1)
cur_time = time(1) % Initialising the current time with time(1)
for i = 2:length(value)
if cur_time == time(i)
csum = [csum ; csum(i-1) + value(i)] % finds csum if time(i) is same as cur_time and appends it at the end of csum
else
cur_time = time(i)
csum = [csum ; value(i)] % updates the cur_time and appends value(i) at the end of csum
end
end
T = table (date, time, value, csum);
Hope this helps in solving your problem
Dixi
Dixi 2019년 6월 25일

0 개 추천

Both answers are working fine.
Thank you!

카테고리

도움말 센터File Exchange에서 Data Type Identification에 대해 자세히 알아보기

질문:

2019년 6월 25일

답변:

2019년 6월 25일

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by