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How to get 10 day averaged time series of following time series, which is a time series from 2004-2011. I need 10 dat averaged time series from 2004-2011 in every column. Following is the time series which is day to day time series

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Chris Martin
Chris Martin 2013 年 12 月 3 日
閉鎖済み: MATLAB Answer Bot 2021 年 8 月 20 日
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2009.45068 3.71215 0.00451
2009.45342 3.71497 0.00451
2009.45616 3.71440 0.00443
2009.45890 3.71550 0.00447
2009.46164 3.71602 0.00450
2009.46438 3.71498 0.00445
2009.46712 3.71584 0.00442
2009.46986 3.71648 0.00446
2009.47260 3.71636 0.00447
2009.47534 3.71489 0.00445
2009.47808 3.71277 0.00445
2009.48082 3.71527 0.00444
2009.48356 3.71421 0.00449
2009.48630 3.71425 0.00443
2009.48904 3.71581 0.00443
2009.49178 3.71587 0.00441
2009.49452 3.71476 0.00436
2009.49726 3.71494 0.00443
2009.50000 3.71593 0.00437
2009.50274 3.71381 0.00440
2009.50548 3.71512 0.00457
2009.51096 3.71649 0.00453
2009.51370 3.71616 0.00450
2009.51644 3.71596 0.00448
2009.51918 3.71528 0.00450
2009.52192 3.71407 0.00456
2009.52466 3.71412 0.00452
2009.52740 3.71525 0.00451
2009.53014 3.71461 0.00456
2009.53287 3.71727 0.00455
2009.53561 3.71779 0.00461
2009.53835 3.71730 0.00452
2009.54109 3.71683 0.00449
2009.54383 3.71389 0.00445
2009.54657 3.71577 0.00447
2009.54931 3.71554 0.00451
2009.55205 3.71310 0.00449
2009.55479 3.71412 0.00449
2009.55753 3.71397 0.00449
2009.56027 3.71341 0.00448
2009.56301 3.71418 0.00443
2009.56575 3.71371 0.00441
2009.56849 3.71481 0.00448
2009.57123 3.71374 0.00445
2009.57397 3.71541 0.00445
2009.57671 3.71785 0.00459
2009.57945 3.71660 0.00456
2009.58219 3.71765 0.00455
2009.58493 3.71684 0.00447
2009.58767 3.71644 0.00451
2009.59041 3.71784 0.00462
2009.59315 3.71618 0.00455
2009.59589 3.71642 0.00472
2009.59863 3.71446 0.00455
2009.60137 3.71690 0.00471
2009.60411 3.71554 0.00459
2009.60685 3.71583 0.00464
2009.60959 3.71636 0.00449
2009.61233 3.71407 0.00444
2009.61507 3.71680 0.00444
2009.61781 3.71553 0.00458
2009.62055 3.71518 0.00448
2009.62329 3.71575 0.00452
2009.62603 3.71480 0.00447
2009.62877 3.71546 0.00461
2009.63150 3.71401 0.00457
2009.63424 3.71343 0.00448
2009.63698 3.71554 0.00462
2009.63972 3.71685 0.00458
2009.64246 3.71418 0.00450
2009.64520 3.71516 0.00449
2009.64794 3.71566 0.00454
2009.65068 3.71472 0.00458
2009.65342 3.71476 0.00456
2009.65616 3.71656 0.00464
2009.65890 3.71658 0.00452
2009.66164 3.71621 0.00453
2009.66438 3.71793 0.00481
2009.66712 3.71724 0.00463
2009.66986 3.71446 0.00451
2009.67260 3.71488 0.00459
2009.68630 3.71771 0.00470
2009.68904 3.71543 0.00458
2009.69178 3.71553 0.00448
2009.69452 3.71304 0.00460
2009.69726 3.71787 0.00468
2009.70000 3.71642 0.00473
2009.70274 3.71587 0.00463
2009.70548 3.71691 0.00460
2009.70822 3.71819 0.00456
2009.71096 3.71780 0.00477
2009.71370 3.71557 0.00469
2009.71644 3.71552 0.00460
2009.71918 3.71485 0.00459
2009.72192 3.71712 0.00478
2009.72466 3.71724 0.00464
2009.72740 3.71711 0.00472
2009.73014 3.71749 0.00469
2009.73287 3.71648 0.00456
2009.73561 3.71799 0.00474
2009.73835 3.71965 0.00477
2009.74109 3.71608 0.00455
2009.74383 3.71701 0.00460
2009.74657 3.71598 0.00449
2009.74931 3.71615 0.00459
2009.75205 3.71529 0.00456
2009.75479 3.71590 0.00459
2009.75753 3.71579 0.00459
2009.76027 3.71582 0.00455
2009.76301 3.71691 0.00455
2009.76575 3.71599 0.00453
2009.76849 3.71649 0.00461
2009.77123 3.71574 0.00458
2009.77397 3.71913 0.00481
2009.77671 3.71723 0.00453
2009.77945 3.71785 0.00463
2009.78219 3.71625 0.00465
2009.78493 3.71632 0.00454
2009.78767 3.71516 0.00455
2009.79041 3.71334 0.00456
2009.79315 3.71520 0.00453
2009.79589 3.71428 0.00455
2009.79863 3.71555 0.00455
2009.80137 3.71342 0.00446
2009.80411 3.71155 0.00445
2009.80685 3.71490 0.00448
2009.80959 3.71316 0.00441
2009.81233 3.71355 0.00444
2009.81507 3.71365 0.00444
2009.81781 3.70980 0.00438
2009.82055 3.71236 0.00439
2009.82329 3.71221 0.00455
2009.82603 3.71294 0.00444
2009.82877 3.71422 0.00453
2009.83150 3.71288 0.00443
2009.83424 3.71202 0.00443
2009.83698 3.71278 0.00446
2009.83972 3.71187 0.00456
2009.84246 3.71124 0.00450
2009.84520 3.71246 0.00439
2009.84794 3.71378 0.00447
2009.85068 3.71186 0.00448
2009.85342 3.71034 0.00449
2009.85616 3.71072 0.00455
2009.85890 3.71323 0.00452
2009.8616

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回答 (1 件)

sixwwwwww
sixwwwwww 2013 年 12 月 3 日
Dear Chris Martin, maybe you can try something like this(depending upon your data you will have to make modifications accordingly):
fid = fopen('filename.txt');
a = textscan(fid, '%f%f%f'); % read file
fclose(fid);
a = cell2mat(a);
AvPer = 10; % average per number of elements
avg = zeros(size(a, 1) - AvPer + 1, size(a, 2));
for i = 1:size(a, 1) - AvPer + 1
for j = 1:size(a, 2)
avg(i, j) = mean(a(i:i + AvPer - 1, j));
end
end
Good luck!

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