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julia> DimPoints(california_raster2) |> vec |> scatter julia> DimPoints(california_raster2) |> scatter ERROR: ArgumentError: Conversion failed for Scatter (With conversion trait PointBased()) with args: Tuple{DimPoints{Tuple{Float64, Float64}, 2, Tuple{X{DimensionalData.Dimensions.Lookups.Sampled{Float64, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, DimensionalData.Dimensions.Lookups.ForwardOrdered, DimensionalData.Dimensions.Lookups.Regular{Float64}, DimensionalData.Dimensions.Lookups.Intervals{DimensionalData.Dimensions.Lookups.Start}, DimensionalData.Dimensions.Lookups.NoMetadata}}, Y{DimensionalData.Dimensions.Lookups.Sampled{Float64, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, DimensionalData.Dimensions.Lookups.ForwardOrdered, DimensionalData.Dimensions.Lookups.Regular{Float64}, DimensionalData.Dimensions.Lookups.Intervals{DimensionalData.Dimensions.Lookups.Start}, DimensionalData.Dimensions.Lookups.NoMetadata}}}, Tuple{X{Colon}, Y{Colon}}}} . Scatter requires to convert to argument types Tuple{AbstractVector{<:Union{Point2, Point3}}}, which convert_arguments didn't succeed in. To fix this overload convert_arguments(P, args...) for Scatter or PointBased() and return an object of type Tuple{AbstractVector{<:Union{Point2, Point3}}}.`
It can be pretty cool:
plus this way we can decompose to x and y (or x, y, z) vectors, so that we get unitful and categorical decomposition etc.
The text was updated successfully, but these errors were encountered:
asinghvi17
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It can be pretty cool:
plus this way we can decompose to x and y (or x, y, z) vectors, so that we get unitful and categorical decomposition etc.
The text was updated successfully, but these errors were encountered: