JuliaDataCubes / JuliaDataCubes/EarthDataLab.jl
Axes are cubes: values not readable by mapCube
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Description
c=Cube("/scratch/DataCube/v1.0.2/esdc-8d-0.25deg-46x90x90-1.0.2_1/")
d=getCubeData(c,variable=["fapar_tip", "gross_primary_productivity", "transpiration"],time=2001:2011, region="Europe")
function spatialAggregation(xout, xin, latitudes)
show(latitudes)
end
latitudecube = ESDL.getAxis("Lat",d)
indims_map = InDims("Lon", "Lat")
indims_lat = InDims("Lat")
outdims = OutDims()
mapCube(spatialAggregation, (d,latitudecube), indims = (indims_map, indims_lat), outdims = outdims);
This example from the documentation, from the chapter "Axes are Cubes" throws the following error for me:
MethodError: no method matching _read(::RangeAxis{Float64,:Lat,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}, ::SubArray{Float64,1,Array{Float64,1},Tuple{UnitRange{Int64}},true}, ::CartesianIndices{1,Tuple{UnitRange{Int64}}})
Closest candidates are:
_read(!Matched::CubeMem, ::AbstractArray, ::CartesianIndices) at /Net/Groups/BGI/scratch/mgutwin/julia_atacama_depots/packages/ESDL/7FhrN/src/Cubes/Cubes.jl:134
_read(!Matched::ESDL.Cubes.MmapCube, ::AbstractArray, ::CartesianIndices{N,R} where R<:Tuple{Vararg{AbstractUnitRange{Int64},N}}) where N at /Net/Groups/BGI/scratch/mgutwin/julia_atacama_depots/packages/ESDL/7FhrN/src/Cubes/MmapCubes.jl:76
_read(!Matched::NetCDFCube{T,N}, ::AbstractArray, ::CartesianIndices{N,R} where R<:Tuple{Vararg{AbstractUnitRange{Int64},N}}) where {T, N} at /Net/Groups/BGI/scratch/mgutwin/julia_atacama_depots/packages/ESDL/7FhrN/src/Cubes/NetCDFCubes.jl:41
Probably a missing method or did I get the wrong idea about axes being treated as cubes?
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- Read the whole issue, then the project's contributing guide.
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- Open a pull request that references the issue number.
Research direction
Reproduce the documented “Axes are Cubes” example with mapCube and the Lat axis. Inspect the _read dispatches referenced in Cubes.jl, MmapCubes.jl, and NetCDFCubes.jl, focusing on the RangeAxis error. Done means the example runs and spatialAggregation can read and show the latitude values without the MethodError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100