Help ! Average half hourly into 3 hours and save the file as mat with filename reflecting the startTime and Endtime

1 次查看（过去 30 天）
nlm
nlm 2018-11-14
评论： Walter Roberson 2018-11-16
Hi,
I'm reading half hourly HDF5 files, on which I run some analysis. I want to now average these processed half hourly into 3 hours. This does NOT run.
clc
clear all
sad = dir( fullfile('path', '*.HDF5' )); %% all the HDF5 files in the folders for two years and half hourly
for ii = 1:length(sad)
[data, name] = read_one_file(sad(ii).name) ; %%% read_one_file where my hour half files are processed
while (data(ii).TimeID - data(ii).TimeID) == 0 %% TimeID is same for half hourly files within 3 hour windows, so have 8 uniques values for a day
new = nanmean(data(ii).H); %%% here i want to average all the var fields in data strcuture where my TimeID remains same and for same date
extention='.mat'; %%% ext
matname = fullfile('path\test', [[name,num2str(StartTime(ii)),num2str(EndTime(ii))] extention]) % want to save with file with startTime and EndTime
save(matname,'new');
end
end
My data structure has following fields;
data.H ; data.Th ; data.Date ; data.EndTime ; data.StartTime ; data.TimeID ;
  3 个评论
显示 1更早的评论
nlm
nlm 2018-11-15
No I haven't. I understand while loop is wrong, I don't know how to move forward...
for ii = 1:length(sad)
if data(ii).TimeID == unique(data(ii).TimeID)
IMERG = nanmean(data(ii).H,3);
end
end
This saves average only for one TimeID. The problem is either I have to run for entire ii which is 17000 HDF5 half an hour files with 2 of 400 * 900 matrices in each file and then average (which I did for 100 files and it works ), or I run for few files and do an 3 hr average and save only that file?
Walter Roberson
Walter Roberson 2018-11-16
each iteration of the for loop you are overwriting all of data. You should be storing into data(i) instead . Have it read all of the data first, and then it can make sense to process the data from several files together .

请先登录，再进行评论。

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Data Import and Analysis 的更多信息

标签

Community Treasure Hunt

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

Start Hunting!

Translated by