def fill(array):
first = first(array,ignore_nodata=true)
last = last(array,ignore_nodata=true)
frontfilled = array_apply(array,if(nodata(x)&& index<middle,first,x)
fully_filled=array_apply(frontfilled, if(nodata(x)&& index>=middle,last,x)
return fully_filled
apply_dimension(dim='t',callback=fill)
The goal is to created a timeseries without nodata, as some methods can not deal with that. Linear interpolation does not extrapolate, so typically can return timeseries with nodata at the start or end.
soxofaan
commented
3 weeks ago
Support something like:
The goal is to created a timeseries without nodata, as some methods can not deal with that. Linear interpolation does not extrapolate, so typically can return timeseries with nodata at the start or end.