Filling gaps in a vector using a secondary data set

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!

Answer 1

[Les Beckham]

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

[Lejla Latifovic]

This is great, thank you!

[Les Beckham]

You are quite welcome.