Monthly data to seasonal using sum (how to use splitapply)

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Hi, I wish you are safe and healthy!
I have a 1 x 3 cell with three 360 x 3 table. Each table has a column date with 30 years of monthly data (30 x 12 = 360). I want to have data for seasonal scale, winter, spring, summer and autumn correspond to December–February, March-May, June–August, and September–November, respectively using sum. I would like to create each season in a separate column with the corresponding name of the season and located after all existing columns in the tables.
Thank you so much

Accepted Answer

Peng Li
Peng Li on 28 Mar 2020
Edited: Peng Li on 28 Mar 2020
Try below
tbl = CELL{1};
tbl.month = month(tbl.dates);
tbl.season = floor(tbl.month ./ 3);
tbl.season(tbl.season == 4) = 0;
tbl.season = categorical(tbl.season, [0 1 2 3], ["Spr", "Sum", "Aut", "Win"]);
You can use findgroups to group them based on seasons and use varfun or splitapply to calculate sum.
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R2018b

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