Rasters.jl
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Values of missingval still shown in the overview of the Raster
I am still working with the data from #605 and I am constructing a Raster object from the Netcdf subgroup. Setting the missingval keyword seems to have no effect and I can still see the missingval in the array when the Raster is shown.
This is a reproducer with small data:
arr = rand(10,10)
r = Raster(arr, (X(1:10,Y(1:10)), missingval=arr[1,1])
I would have expected that the first element of the Raster is shown as missing.
skipmissing
works as expected.