How to get cumulative sum in yearly buckets
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Wendy Cameron
le 17 Mai 2018
Commenté : Wendy Cameron
le 18 Mai 2018
I have several years of data and temperature in one table. I want to calculate a cumulative temperature sum which I've done simply as A.CumulativeTemp= cumsum(A.Temp);
My question is, how can get a cumulative temp for each year, i.e. so it gives a cumulative temperature for the entire 2016, then starts again at zero in the same column and does the same for 2017 and so on?
Kind regards, Wendy
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Réponse acceptée
Akira Agata
le 17 Mai 2018
How about the following ?
% Read the data file and delete the answer column
opts = detectImportOptions('Reset Accum temp.xls');
T = readtable('Reset Accum temp.xls',opts);
T.AccumulatedTemperatureOfEachYear = []; % Remove the answer
% Apply cumsum function for each Year
T2 = varfun(@cumsum,T,'GroupingVariables','Year');
T = [T T2(:,'cumsum_Temperature')];
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Plus de réponses (3)
Ameer Hamza
le 17 Mai 2018
One way to do this is follow
[group, uniqueYears] = findgroups(A.years)
yearSum = splitapply(@sum, A.Temp, group)
yearSummary = [uniqueYears, group];
Or you can also use accumarray as follow:
yearSum = accumarray(A.years, A.Temp);
Andrei Bobrov
le 17 Mai 2018
data = readtable('Reset Accum_temp.xls','range','A2:B32');
[~,~,c] = unique(data.Year);
N = accumarray(c,data.Temperature);
T = data.Temperature;
lo = [0;diff(data.Year)]~=0;
T(lo) = T(lo) - N(1:end-1);
data.AccumulatedTemperatureOfEachYear = cumsum(T);
Razvan Carbunescu
le 17 Mai 2018
If using R2018a and wanting the final sum each year only can use groupsummary to get this more directly:
>> T = readtable('Reset Accum_temp.xls','range','A2:B32');
>> GT = groupsummary(T,'Year','sum','Temperature')
GT =
3×3 table
Year GroupCount sum_Temperature
____ __________ _______________
2015 10 267
2016 10 166
2017 10 208
You can use the date directly also with groupsummary
>> T.Date = datetime(T.Year,1,1); % reconstruct full Date
>> GT = groupsummary(T,'Date','year','sum','Temperature')
GT =
3×3 table
year_Date GroupCount sum_Temperature
_________ __________ _______________
2015 10 267
2016 10 166
2017 10 208
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