[FIXED] Add two arrays with holes to fill the holes in the other array

Issue

I have scans of data from Africa that are from the same day at different times. I'd like to consolidate the data into one one array. How can I do that?

np.add(x,y, where=some possbile function?)

Edit: In case it's unclear. I would like to have on image with all of the yellow from the two images.

Solution

I figured out a solution. You can use another array in the np.where() function. So the data here is split up in am and pm passes

both = np.where(data_am < 0, data_pm ,data_am)
combined = np.where(both < 0, 0 ,both)

Answered By - TheJeran