- Dates and Time - https://in.mathworks.com/help/matlab/date-and-time-operations.html
- datetime - https://in.mathworks.com/help/matlab/ref/datetime.html
- timetable - https://in.mathworks.com/help/matlab/ref/timetable.html
- retime - https://in.mathworks.com/help/matlab/ref/timetable.retime.html
- standardizeMissing - https://in.mathworks.com/help/matlab/ref/standardizemissing.html
- rmmissing - https://in.mathworks.com/help/matlab/ref/rmmissing.html
I have timestamp_start and end data with other variables at the interval of 30 min yearly data. How can I sum/ avg daily/monthly/yearly avoiding -9999/Nan ?
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
201901010000 201901010030 -9999 -9999 -9999 -9999 -9999
201901010030 201901010100 -9999 -9999 -9999 -9999 -9999
201901010100 201901010130 -9999 -9999 -9999 -9999 -9999
201901010130 201901010200 -9999 -9999 -9999 -9999 -9999
201901010200 201901010230 -9999 -9999 -9999 -9999 -9999
201901010230 201901010300 -9999 -9999 -9999 -9999 -9999
201901010300 201901010330 -9999 -9999 -9999 -9999 -9999
201901010330 201901010400 -9999 -9999 -9999 -9999 -9999
201901010400 201901010430 -9999 -9999 -9999 -9999 -9999
201901010430 201901010500 -9999 -9999 -9999 -9999 -9999
201901010500 201901010530 -9999 -9999 -9999 -9999 -9999
201901010530 201901010600 -9999 -9999 -9999 -9999 -9999
201901010600 201901010630 -9999 -9999 -9999 -9999 -9999
201901010630 201901010700 -9999 -9999 -9999 -9999 -9999
201901010700 201901010730 -9999 -9999 -9999 -9999 -9999
201901010730 201901010800 -9999 -9999 -9999 -9999 -9999
201901010800 201901010830 -9999 -9999 -9999 -9999 -9999
201901010830 201901010900 -9999 -9999 -9999 -9999 -9999
201901010900 201901010930 -9999 -9999 -9999 -9999 -9999
201901010930 201901011000 -9999 -9999 -9999 -9999 -9999
201901011000 201901011030 215 9.1 2427.7 -9999 -10.6
201901011030 201901011100 130 9.6 2314.4 1.85 -11.3
201901011100 201901011130 165 9.0 2231.5 0.6 -32.6
201901011130 201901011200 421 7.7 2261.6 1.2 -12.6
201901011200 201901011230 421 7.5 2279.4 1.7 2.3
201901011230 201901011300 201 7.1 2258.2 4.1 2.1
201901011300 201901011330 105 6.9 2255.8 4.4 27.0
201901011330 201901011400 519 6.9 2259.5 3.9 10.1
0 commentaires
Réponses (1)
Seth Furman
le 12 Sep 2022
Modifié(e) : Seth Furman
le 12 Sep 2022
Take a look at the following:
data = [
201901010000 201901010030 -9999 -9999 -9999 -9999 -9999
201901010030 201901010100 -9999 -9999 -9999 -9999 -9999
201901010100 201901010130 -9999 -9999 -9999 -9999 -9999
201901010130 201901010200 -9999 -9999 -9999 -9999 -9999
201901010200 201901010230 -9999 -9999 -9999 -9999 -9999
201901010230 201901010300 -9999 -9999 -9999 -9999 -9999
201901010300 201901010330 -9999 -9999 -9999 -9999 -9999
201901010330 201901010400 -9999 -9999 -9999 -9999 -9999
201901010400 201901010430 -9999 -9999 -9999 -9999 -9999
201901010430 201901010500 -9999 -9999 -9999 -9999 -9999
201901010500 201901010530 -9999 -9999 -9999 -9999 -9999
201901010530 201901010600 -9999 -9999 -9999 -9999 -9999
201901010600 201901010630 -9999 -9999 -9999 -9999 -9999
201901010630 201901010700 -9999 -9999 -9999 -9999 -9999
201901010700 201901010730 -9999 -9999 -9999 -9999 -9999
201901010730 201901010800 -9999 -9999 -9999 -9999 -9999
201901010800 201901010830 -9999 -9999 -9999 -9999 -9999
201901010830 201901010900 -9999 -9999 -9999 -9999 -9999
201901010900 201901010930 -9999 -9999 -9999 -9999 -9999
201901010930 201901011000 -9999 -9999 -9999 -9999 -9999
201901011000 201901011030 215 9.1 2427.7 -9999 -10.6
201901011030 201901011100 130 9.6 2314.4 1.85 -11.3
201901011100 201901011130 165 9.0 2231.5 0.6 -32.6
201901011130 201901011200 421 7.7 2261.6 1.2 -12.6
201901011200 201901011230 421 7.5 2279.4 1.7 2.3
201901011230 201901011300 201 7.1 2258.2 4.1 2.1
201901011300 201901011330 105 6.9 2255.8 4.4 27.0
201901011330 201901011400 519 6.9 2259.5 3.9 10.1
];
t = array2table(data);
t.Properties.VariableNames(1:2) = ["Start","End"]
t.Start = datetime(string(t.Start),InputFormat="yyyyMMddHHmm")
t.End = datetime(string(t.End),InputFormat="yyyyMMddHHmm")
t = standardizeMissing(t,-9999,"DataVariables",t.Properties.VariableNames(3:end))
tNoMissing = rmmissing(t,"DataVariables",t.Properties.VariableNames(3:end));
tNoMissing = table2timetable(tNoMissing)
retime(tNoMissing(:,3:end),"daily","mean")
retime(tNoMissing(:,3:end),"monthly","sum")
retime(tNoMissing(:,3:end),"yearly","mean")
0 commentaires
Voir également
Catégories
En savoir plus sur Calendar dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!