Filling gaps in a vector using a secondary data set

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Lejla Latifovic
Lejla Latifovic 2022-8-3
评论： Les Beckham 2022-8-3
Hello,
I have two half-hourly precipitation datasets for 2021 (rain gauge 1 and rain gauge 2).
Rain gauge 1 has NaN values at the start and end of the year. For these two time periods I would like to replace the NaN values with data from the rain gauge 2 dataset.
Is there a good way to do this? Do I need to pull out the values I would like to use from each vector and then join them together into a new vector? This seems clunky?
Thank you!

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Les Beckham
Les Beckham 2022-8-3
编辑：Les Beckham 2022-8-3
Ran in:
rain1 = [nan nan 1:10 nan nan] % example data
rain1 = 1×14
NaN NaN 1 2 3 4 5 6 7 8 9 10 NaN NaN
rain2 = [20:34]
rain2 = 1×15
20 21 22 23 24 25 26 27 28 29 30 31 32 33 34
idx = isnan(rain1); % find where rain1 has nans
rain1(idx) = rain2(idx) % replace them with data from rain2
rain1 = 1×14
20 21 1 2 3 4 5 6 7 8 9 10 32 33

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