E.g., when processing the set of plane contours: each one consists of N nodes and may be described by the matrix N*2 (x, y coordinates of every node). The number of nodes in the contour is changed during processing. What is the simplest recommended object (data type) in Julia for such set of contours?
1 Answers
Simplest possible in what way? See GeometryTypes.jl. The "simplest" object, by some definitions of simple, is a vector of 3D points, with (x, y) the node coordinates and z the contour height value. You could use Point3f0 with Float32 or Point3d{T} for Int or Float64. Here you could index with ranges, as Matt suggested above.
If there is a desire for "simple" here to mean keep the contour value in a different category altogether than the (x, y) points, perhaps to save memory, then a Dict{Float32, Vector{Point2f0}}() would do that. The Dict keys would represent the contour numbers. This allows quick indexing by contour but terrible indexing by X and Y ranges as a price for the better memory usage.
If the contour indexes are so regular and predefined that storing them with the points does not matter, you could use Vector{Vector{Point2f0}}, a vector of vectors of Point2f0, with one vector of Point2f0 per contour in your vector of vectors.
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