Hello, I have a time series that is missing some data. In the places where there is a data gap I would like to insert rows of NaN values at the same incremetal time step. The data is organized by a datenum.
Here is the current script I'm using to get the timeseries.
Thanks!
% Read the data.
[num, txt, raw] = xlsread('SFL_2018.xlsx'); % Creates three variables. A number (double), raw (cell), and txt (cell).
% Note that the 'txt' and 'raw' variables contain the decriptions of the columns.
% Rename the numerical matrix and remove the upper 4 rows that originally contained the data headers.
SFL2018 = num(5:end, :);
% Change the first column (excel datenum value) to MATLAB datenum value.
datevec = datetime(SFL2018(:,1),'ConvertFrom','excel');
date_num = datenum(datevec);
SFL2018 = [date_num SFL2018(:, 2:end)];
% Rename the 'txt' cell to 'header' and clear unused variables.
header = txt(1:4,:);
clearvars('num', 'txt', 'raw', 'date_num');
Best Answer