how to convert data from minute to hourly average

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this is the extension of my file which needs to be converted.this is the sample data.there are individual files for each day consisting of 1440 rows and 4 columns.this file is to be read in matlab and processed for 4 years. i need to average the time and data i.e, first two columns of the given table.there are some missing data in which the data is missing but the time is recorded.any program can solve my data.thanks in advance
  4 Commenti
SD
SD il 16 Mar 2018
yes, sir but it didnt work

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Andrei Bobrov
Andrei Bobrov il 16 Mar 2018
dir1 = 'path_to_folder_with_your_txt_files';
f = dir(fullfile(dir1,'iisc*.txt'));
nm = {f.name}';
dt = datetime(regexp(nm,'\d{4}-\d{2}-\d{2}','match','once'));
TT = [];
for ii = 1:numel(dt)
T = readtable(fullfile(dir1,nm{ii}),'Format','%f%f%f%f','TreatAsEmpty','-');
Time1 = dt(ii) + hours(T.Var1);
TT = [TT;timetable(Time1,T.Var2,'v',{'data'})];
end
TTout = retime(TT,'hourly','mean');
TTout = TTout(~isnan(TTout.data),:);
  7 Commenti
SD
SD il 17 Mar 2018
sir,can you tell me how to save the output into a seperate folder for which you have given the previous answer.
SD
SD il 17 Mar 2018
how to do monthly average for the each hour of the seperate day. eg: monthly average of (01/01/2012 0.00 hr,01/02/2012 0.00hr,02/01/2012 0.00hr ............31/01/2012) and also daily average for day time of the universaltime average and night time also

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KSSV
KSSV il 16 Mar 2018
YOu can load the text file using load or importdata. To egt hourly mean check the below example code.
t = 1:24*60 ; % time in minutes
A = rand(1,numel(t)); % some random data for 1440 minutes
% Arrange indices into hours
idx = reshape(1:24*60,60,[])' ;
% Arrange data into hours
A_hours = A(idx) ;
% GEt mean
A_hourly_mean = mean(A_hours,2) ;
  2 Commenti
SD
SD il 16 Mar 2018
sir, i tried your suggested program. but i am getting the random values in the range of 0 & 1.but i need the mean of the data.
KSSV
KSSV il 16 Mar 2018
A is random data I have taken to demonstrate. You have to used your data.

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