filling missing data with nan in a data according to the date and time array

Version 1.0.0.0 (1.2 KB) by rajasweta datta
insert nan values for missing data in a time series measurement
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Updated 30 May 2017

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the code helps to fill in the gaps in a time series data. for this, it requires a DateTime array with missing dates and time and the measurement array with a corresponding missing value. it will check the dates that are missing in the date array and fill in Nan for the corresponding date in the measured array which will help in getting a continuous time series data

Cite As

rajasweta datta (2024). filling missing data with nan in a data according to the date and time array (https://www.mathworks.com/matlabcentral/fileexchange/63180-filling-missing-data-with-nan-in-a-data-according-to-the-date-and-time-array), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
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Version Published Release Notes
1.0.0.0