Setting different X and Y axes doesn't work in rplot

[felixcremer]

Working on the same data as in #558 I have to set the X and Y coordinates explicitely and can't set them via the keyword argument

using Rasters
using Downloads: download # Standard Library to handle downloads to get the data
using NCDatasets
# Now we download the monthly data for the year 1995 to first have a look at the data

url = "https://esgf1.dkrz.de/thredds/fileServer/cosmo-rea/reanalysis/EUR-6km/DWD/ECMWF-ERAINT/REA6/r1i1p1f1/COSMO/v1/mon/atmos/tas/v20230314/tas_EUR-6km_ECMWF-ERAINT_REA6_r1i1p1f1_COSMO_v1_mon_199501-199512.nc"
filename = split(url, "/")[end]
mkpath("data/")
path = download(url, "data/$filename")
# We can now open the data as a Dataset.
# A Dataset is a collection of multiple data cubes which can have different dimensions.

r = Raster(path, key ="tas")
jjulia> Rasters.rplot(r, X=:rlat, Y=:rlon)
ERROR: MethodError: no method matching rplot(::GridPosition, ::Raster{Union{Missing, Float32}, 2, Tuple{Dim{:rlon, DimensionalData.Dimensions.LookupArrays.Sampled{Float64, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, DimensionalData.Dimensions.LookupArrays.ForwardOrdered, DimensionalData.Dimensions.LookupArrays.Regular{Float64}, DimensionalData.Dimensions.LookupArrays.Points, DimensionalData.Dimensions.LookupArrays.NoMetadata}}, Dim{:rlat, DimensionalData.Dimensions.LookupArrays.Sampled{Float64, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, DimensionalData.Dimensions.LookupArrays.ForwardOrdered, DimensionalData.Dimensions.LookupArrays.Regular{Float64}, DimensionalData.Dimensions.LookupArrays.Points, DimensionalData.Dimensions.LookupArrays.NoMetadata}}}, Tuple{Ti{DimensionalData.Dimensions.LookupArrays.Sampled{DateTime, Vector{DateTime}, DimensionalData.Dimensions.LookupArrays.ForwardOrdered, DimensionalData.Dimensions.LookupArrays.Irregular{Tuple{Nothing, Nothing}}, DimensionalData.Dimensions.LookupArrays.Points, DimensionalData.Dimensions.LookupArrays.NoMetadata}}}, Base.ReshapedArray{Union{Missing, Float32}, 2, Array{Union{Missing, Float32}, 3}, Tuple{}}, DimensionalData.NoName, Dict{String, Any}, Missing}; colormap::Nothing, colorrange::MakieCore.Automatic, X::Symbol, Y::Symbol)

Closest candidates are:
  rplot(::GridPosition, ::Union{Observable{<:RasterStack}, RasterStack}; ncols, nrows, colormap, colorrange, link_colorrange, link_axes, axis, kwargs...)
   @ RastersMakieExt ~/.julia/dev/Rasters/ext/RastersMakieExt/plotrecipes.jl:153
  rplot(::GridPosition, ::Union{Observable{<:AbstractRaster{T, 3}}, AbstractRaster{T, 3}}; ncols, nrows, kwargs...) where T
   @ RastersMakieExt ~/.julia/dev/Rasters/ext/RastersMakieExt/plotrecipes.jl:125
  rplot(::GridPosition, ::Union{Observable{<:AbstractRaster{T, 2, <:Tuple{D1, D2}}}, AbstractRaster{T, 2, <:Tuple{D1, D2}}}; plottype, axistype, X, Y, draw_colorbar, colorbar_position, colorbar_padding, title, xlabel, ylabel, colorbarlabel, nan_color, colormap, colorrange, kw_attributes...) where {T, D1<:Union{DimensionalData.Dimensions.XDim, DimensionalData.Dimensions.YDim, DimensionalData.Dimensions.ZDim}, D2<:Union{DimensionalData.Dimensions.XDim, DimensionalData.Dimensions.YDim, DimensionalData.Dimensions.ZDim}}
   @ RastersMakieExt ~/.julia/dev/Rasters/ext/RastersMakieExt/plotrecipes.jl:38

Stacktrace:
 [1] rplot(gp::GridPosition, raster::Raster{Union{Missing, Float32}, 3, Tuple{Dim{:rlon, DimensionalData.Dimensions.LookupArrays.Sampled{Float64, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, DimensionalData.Dimensions.LookupArrays.ForwardOrdered, DimensionalData.Dimensions.LookupArrays.Regular{Float64}, DimensionalData.Dimensions.LookupArrays.Points, DimensionalData.Dimensions.LookupArrays.NoMetadata}}, Dim{:rlat, DimensionalData.Dimensions.LookupArrays.Sampled{Float64, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, DimensionalData.Dimensions.LookupArrays.ForwardOrdered, DimensionalData.Dimensions.LookupArrays.Regular{Float64}, DimensionalData.Dimensions.LookupArrays.Points, DimensionalData.Dimensions.LookupArrays.NoMetadata}}, Ti{DimensionalData.Dimensions.LookupArrays.Sampled{DateTime, Vector{DateTime}, DimensionalData.Dimensions.LookupArrays.ForwardOrdered, DimensionalData.Dimensions.LookupArrays.Irregular{Tuple{Nothing, Nothing}}, DimensionalData.Dimensions.LookupArrays.Points, DimensionalData.Dimensions.LookupArrays.NoMetadata}}}, Tuple{}, DiskArrayTools.CFDiskArray{Union{Missing, Float32}, 3, Float32, YAXArrayBase.NetCDFVariable{Float32, 3}, Float32}, DimensionalData.NoName, Dict{String, Any}, Missing}; ncols::MakieCore.Automatic, nrows::MakieCore.Automatic, kwargs::Base.Pairs{Symbol, Any, NTuple{4, Symbol}, NamedTuple{(:colormap, :colorrange, :X, :Y), Tuple{Nothing, MakieCore.Automatic, Symbol, Symbol}}})
   @ RastersMakieExt ~/.julia/dev/Rasters/ext/RastersMakieExt/plotrecipes.jl:141
 [2] rplot
   @ ~/.julia/dev/Rasters/ext/RastersMakieExt/plotrecipes.jl:125 [inlined]
 [3] #rplot#11
   @ ~/.julia/dev/Rasters/ext/RastersMakieExt/plotrecipes.jl:222 [inlined]
 [4] top-level scope
   @ REPL[61]:1

Setting the dimensions to X and Y explicitly before hand works:

julia> rxy = set(r, :rlat=> Y, :rlon=> X)
848×824×12 Raster{Union{Missing, Float32},3} with dimensions: 
  X Sampled{Float64} -28.4029998779297:0.0550011811599821:18.18300056457514 ForwardOrdered Regular Points,
  Y Sampled{Float64} -23.4029998779297:0.0550012159753107:21.863000869751005 ForwardOrdered Regular Points,
  Ti Sampled{DateTime} DateTime[1995-01-16T12:00:00, …, 1995-12-16T12:00:00] ForwardOrdered Irregular Points
extent: Extent(X = (-28.4029998779297, 18.18300056457514), Y = (-23.4029998779297, 21.863000869751005), Ti = (DateTime("1995-01-16T12:00:00"), DateTime("1995-12-16T12:00:00")))
missingval: missing


julia> Rasters.rplot(rxy)

[rafaqz]

Yeah, it doesnt work lol. Need to hook up the keyword like in DD