commit
b258c9d8c8
6
deps/generateprecompiles.jl
vendored
6
deps/generateprecompiles.jl
vendored
@ -26,13 +26,15 @@
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using SnoopCompile
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using SnoopCompile
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project_flag = string("--project=", joinpath(homedir(), ".julia", "dev", "Plots"))
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log_path = joinpath(tempdir(), "compiles.log")
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log_path = joinpath(tempdir(), "compiles.log")
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precompiles_path = joinpath(tempdir(), "precompile")
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precompiles_path = joinpath(tempdir(), "precompile")
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# run examples with GR backend, logging what needs to be compiled
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# run examples with GR backend, logging what needs to be compiled
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SnoopCompile.@snoopc log_path begin
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SnoopCompile.@snoopc project_flag log_path begin
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using Plots
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using Plots
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Plots.test_examples(:gr, disp=true)
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Plots.test_examples(:gr)
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Plots.test_examples(:plotly, skip = Plots._backend_skips[:plotly])
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end
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end
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# precompile calls containing the following strings are dropped
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# precompile calls containing the following strings are dropped
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File diff suppressed because it is too large
Load Diff
@ -70,23 +70,19 @@ process_ribbon(ribbon::Tuple{Any,Any}, plotattributes) = collect(zip(convertToAn
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# --------------------------------------------------------------------
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# --------------------------------------------------------------------
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# TODO: can we avoid the copy here? one error that crops up is that mapping functions over the same array
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# result in that array being shared. push!, etc will add too many items to that array
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compute_x(x::Nothing, y::Nothing, z) = axes(z,1)
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compute_x(x::Nothing, y::Nothing, z) = axes(z,1)
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compute_x(x::Nothing, y, z) = axes(y,1)
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compute_x(x::Nothing, y, z) = axes(y,1)
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compute_x(x::Function, y, z) = map(x, y)
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compute_x(x::Function, y, z) = map(x, y)
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compute_x(x, y, z) = copy(x)
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compute_x(x, y, z) = x
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# compute_y(x::Void, y::Function, z) = error()
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compute_y(x::Nothing, y::Nothing, z) = axes(z,2)
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compute_y(x::Nothing, y::Nothing, z) = axes(z,2)
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compute_y(x, y::Function, z) = map(y, x)
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compute_y(x, y::Function, z) = map(y, x)
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compute_y(x, y, z) = copy(y)
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compute_y(x, y, z) = y
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compute_z(x, y, z::Function) = map(z, x, y)
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compute_z(x, y, z::Function) = map(z, x, y)
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compute_z(x, y, z::AbstractMatrix) = Surface(z)
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compute_z(x, y, z::AbstractMatrix) = Surface(z)
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compute_z(x, y, z::Nothing) = nothing
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compute_z(x, y, z::Nothing) = nothing
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compute_z(x, y, z) = copy(z)
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compute_z(x, y, z) = z
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nobigs(v::AVec{BigFloat}) = map(Float64, v)
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nobigs(v::AVec{BigFloat}) = map(Float64, v)
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nobigs(v::AVec{BigInt}) = map(Int64, v)
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nobigs(v::AVec{BigInt}) = map(Int64, v)
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265
src/utils.jl
265
src/utils.jl
@ -1,119 +1,4 @@
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calcMidpoints(edges::AbstractVector) = Float64[0.5 * (edges[i] + edges[i+1]) for i in 1:length(edges)-1]
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"Make histogram-like bins of data"
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function binData(data, nbins)
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lo, hi = ignorenan_extrema(data)
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edges = collect(range(lo, stop=hi, length=nbins+1))
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midpoints = calcMidpoints(edges)
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buckets = Int[max(2, min(searchsortedfirst(edges, x), length(edges)))-1 for x in data]
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counts = zeros(Int, length(midpoints))
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for b in buckets
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counts[b] += 1
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end
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edges, midpoints, buckets, counts
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end
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"""
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A hacky replacement for a histogram when the backend doesn't support histograms directly.
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Convert it into a bar chart with the appropriate x/y values.
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"""
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function histogramHack(; kw...)
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plotattributes = KW(kw)
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# we assume that the y kwarg is set with the data to be binned, and nbins is also defined
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edges, midpoints, buckets, counts = binData(plotattributes[:y], plotattributes[:bins])
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plotattributes[:x] = midpoints
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plotattributes[:y] = float(counts)
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plotattributes[:seriestype] = :bar
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plotattributes[:fillrange] = plotattributes[:fillrange] === nothing ? 0.0 : plotattributes[:fillrange]
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plotattributes
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end
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"""
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A hacky replacement for a bar graph when the backend doesn't support bars directly.
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Convert it into a line chart with fillrange set.
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"""
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function barHack(; kw...)
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plotattributes = KW(kw)
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midpoints = plotattributes[:x]
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heights = plotattributes[:y]
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fillrange = plotattributes[:fillrange] === nothing ? 0.0 : plotattributes[:fillrange]
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# estimate the edges
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dists = diff(midpoints) * 0.5
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edges = zeros(length(midpoints)+1)
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for i in eachindex(edges)
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if i == 1
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edge = midpoints[1] - dists[1]
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elseif i == length(edges)
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edge = midpoints[i-1] + dists[i-2]
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else
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edge = midpoints[i-1] + dists[i-1]
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end
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edges[i] = edge
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end
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x = Float64[]
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y = Float64[]
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for i in eachindex(heights)
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e1, e2 = edges[i:i+1]
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append!(x, [e1, e1, e2, e2])
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append!(y, [fillrange, heights[i], heights[i], fillrange])
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end
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plotattributes[:x] = x
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plotattributes[:y] = y
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plotattributes[:seriestype] = :path
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plotattributes[:fillrange] = fillrange
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plotattributes
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end
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"""
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A hacky replacement for a sticks graph when the backend doesn't support sticks directly.
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Convert it into a line chart that traces the sticks, and a scatter that sets markers at the points.
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"""
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function sticksHack(; kw...)
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plotattributesLine = KW(kw)
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plotattributesScatter = copy(plotattributesLine)
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# these are the line vertices
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x = Float64[]
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y = Float64[]
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fillrange = plotattributesLine[:fillrange] === nothing ? 0.0 : plotattributesLine[:fillrange]
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# calculate the vertices
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yScatter = plotattributesScatter[:y]
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for (i,xi) in enumerate(plotattributesScatter[:x])
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yi = yScatter[i]
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for j in 1:3 push!(x, xi) end
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append!(y, [fillrange, yScatter[i], fillrange])
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end
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# change the line args
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plotattributesLine[:x] = x
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plotattributesLine[:y] = y
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plotattributesLine[:seriestype] = :path
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plotattributesLine[:markershape] = :none
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plotattributesLine[:fillrange] = nothing
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# change the scatter args
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plotattributesScatter[:seriestype] = :none
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plotattributesLine, plotattributesScatter
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end
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function regressionXY(x, y)
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# regress
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β, α = convert(Matrix{Float64}, [x ones(length(x))]) \ convert(Vector{Float64}, y)
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# make a line segment
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regx = [ignorenan_minimum(x), ignorenan_maximum(x)]
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regy = β * regx + α
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regx, regy
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end
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function replace_image_with_heatmap(z::Array{T}) where T<:Colorant
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function replace_image_with_heatmap(z::Array{T}) where T<:Colorant
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n, m = size(z)
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n, m = size(z)
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colors = ColorGradient(vec(z))
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colors = ColorGradient(vec(z))
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@ -279,8 +164,6 @@ function _expand_limits(lims, x)
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e1, e2 = ignorenan_extrema(x)
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e1, e2 = ignorenan_extrema(x)
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lims[1] = NaNMath.min(lims[1], e1)
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lims[1] = NaNMath.min(lims[1], e1)
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lims[2] = NaNMath.max(lims[2], e2)
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lims[2] = NaNMath.max(lims[2], e2)
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# catch err
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# @warn(err)
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catch
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catch
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end
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end
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nothing
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nothing
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@ -771,9 +654,9 @@ function with(f::Function, args...; kw...)
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backend(arg)
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backend(arg)
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end
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end
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# # TODO: generalize this strategy to allow args as much as possible
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# TODO: generalize this strategy to allow args as much as possible
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# # as in: with(:gr, :scatter, :legend, :grid) do; ...; end
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# as in: with(:gr, :scatter, :legend, :grid) do; ...; end
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# # TODO: can we generalize this enough to also do something similar in the plot commands??
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# TODO: can we generalize this enough to also do something similar in the plot commands??
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# k = :seriestype
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# k = :seriestype
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# if arg in _allTypes
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# if arg in _allTypes
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@ -853,18 +736,6 @@ function dumpcallstack()
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error() # well... you wanted the stacktrace, didn't you?!?
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error() # well... you wanted the stacktrace, didn't you?!?
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end
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end
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# ---------------------------------------------------------------
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# ---------------------------------------------------------------
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# used in updating an existing series
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extendSeriesByOne(v::UnitRange{Int}, n::Int = 1) = isempty(v) ? (1:n) : (minimum(v):maximum(v)+n)
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extendSeriesByOne(v::AVec, n::Integer = 1) = isempty(v) ? (1:n) : vcat(v, (1:n) + ignorenan_maximum(v))
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extendSeriesData(v::AbstractRange{T}, z::Real) where {T} = extendSeriesData(float(collect(v)), z)
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extendSeriesData(v::AbstractRange{T}, z::AVec) where {T} = extendSeriesData(float(collect(v)), z)
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extendSeriesData(v::AVec{T}, z::Real) where {T} = (push!(v, convert(T, z)); v)
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extendSeriesData(v::AVec{T}, z::AVec) where {T} = (append!(v, convert(Vector{T}, z)); v)
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# -------------------------------------------------------
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# -------------------------------------------------------
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# NOTE: backends should implement the following methods to get/set the x/y/z data objects
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# NOTE: backends should implement the following methods to get/set the x/y/z data objects
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@ -908,33 +779,60 @@ Base.setindex!(plt::Plot, xy::Tuple{X,Y}, i::Integer) where {X,Y} = (setxy!(plt,
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Base.setindex!(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer) where {X,Y,Z} = (setxyz!(plt, xyz, i); plt)
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Base.setindex!(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer) where {X,Y,Z} = (setxyz!(plt, xyz, i); plt)
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# -------------------------------------------------------
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# -------------------------------------------------------
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# operate on individual series
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# operate on individual series
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function push_x!(series::Series, xi)
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Base.push!(series::Series, args...) = extend_series!(series, args...)
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push!(series[:x], xi)
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Base.append!(series::Series, args...) = extend_series!(series, args...)
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expand_extrema!(series[:subplot][:xaxis], xi)
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return
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function extend_series!(series::Series, yi)
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end
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y = extend_series_data!(series, yi, :y)
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function push_y!(series::Series, yi)
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x = extend_to_length!(series[:x], length(y))
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push!(series[:y], yi)
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expand_extrema!(series[:subplot][:xaxis], x)
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expand_extrema!(series[:subplot][:yaxis], yi)
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return x, y
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return
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end
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function push_z!(series::Series, zi)
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push!(series[:z], zi)
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expand_extrema!(series[:subplot][:zaxis], zi)
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return
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end
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end
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function Base.push!(series::Series, yi)
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function extend_series!(series::Series, xi, yi)
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x = extendSeriesByOne(series[:x])
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x = extend_series_data!(series, xi, :x)
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expand_extrema!(series[:subplot][:xaxis], x[end])
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y = extend_series_data!(series, yi, :y)
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series[:x] = x
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return x, y
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push_y!(series, yi)
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end
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function extend_series!(series::Series, xi, yi, zi)
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x = extend_series_data!(series, xi, :x)
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y = extend_series_data!(series, yi, :y)
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z = extend_series_data!(series, zi, :z)
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return x, y, z
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end
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function extend_series_data!(series::Series, v, letter)
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copy_series!(series, letter)
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d = extend_by_data!(series[letter], v)
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expand_extrema!(series[:subplot][Symbol(letter, :axis)], d)
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return d
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end
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function copy_series!(series, letter)
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plt = series[:plot_object]
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for s in plt.series_list
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for l in (:x, :y, :z)
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if s !== series || l !== letter
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if s[l] === series[letter]
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series[letter] = copy(series[letter])
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end
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end
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end
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end
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end
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extend_to_length!(v::AbstractRange, n) = range(first(v), step = step(v), length = n)
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function extend_to_length!(v::AbstractVector, n)
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vmax = isempy(v) ? 0 : ignorenan_maximum(v)
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extend_by_data!(v, vmax .+ (1:(n - length(v))))
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end
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extend_by_data!(v::AbstractVector, x) = isimmutable(v) ? vcat(v, x) : push!(v, x)
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function extend_by_data!(v::AbstractVector, x::AbstractVector)
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isimmutable(v) ? vcat(v, x) : append!(v, x)
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end
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end
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Base.push!(series::Series, xi, yi) = (push_x!(series,xi); push_y!(series,yi))
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Base.push!(series::Series, xi, yi, zi) = (push_x!(series,xi); push_y!(series,yi); push_z!(series,zi))
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# -------------------------------------------------------
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# -------------------------------------------------------
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@ -968,59 +866,16 @@ end
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# -------------------------------------------------------
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# -------------------------------------------------------
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# push/append for one series
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# push/append for one series
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# push value to first series
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Base.push!(plt::Plot, args::Real...) = push!(plt, 1, args...)
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Base.push!(plt::Plot, y::Real) = push!(plt, 1, y)
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Base.push!(plt::Plot, i::Integer, args::Real...) = push!(plt.series_list[i], args...)
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Base.push!(plt::Plot, x::Real, y::Real) = push!(plt, 1, x, y)
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Base.append!(plt::Plot, args::AbstractVector...) = append!(plt, 1, args...)
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Base.push!(plt::Plot, x::Real, y::Real, z::Real) = push!(plt, 1, x, y, z)
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Base.append!(plt::Plot, i::Integer, args::Real...) = append!(plt.series_list[i], args...)
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# y only
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function Base.push!(plt::Plot, i::Integer, y::Real)
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xdata, ydata = getxy(plt, i)
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setxy!(plt, (extendSeriesByOne(xdata), extendSeriesData(ydata, y)), i)
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plt
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end
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function Base.append!(plt::Plot, i::Integer, y::AVec)
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xdata, ydata = plt[i]
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if !isa(xdata, UnitRange{Int})
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error("Expected x is a UnitRange since you're trying to push a y value only")
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end
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plt[i] = (extendSeriesByOne(xdata, length(y)), extendSeriesData(ydata, y))
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plt
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end
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# x and y
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function Base.push!(plt::Plot, i::Integer, x::Real, y::Real)
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xdata, ydata = getxy(plt, i)
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setxy!(plt, (extendSeriesData(xdata, x), extendSeriesData(ydata, y)), i)
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plt
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end
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function Base.append!(plt::Plot, i::Integer, x::AVec, y::AVec)
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@assert length(x) == length(y)
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xdata, ydata = getxy(plt, i)
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setxy!(plt, (extendSeriesData(xdata, x), extendSeriesData(ydata, y)), i)
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plt
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end
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# x, y, and z
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function Base.push!(plt::Plot, i::Integer, x::Real, y::Real, z::Real)
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# @show i, x, y, z
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xdata, ydata, zdata = getxyz(plt, i)
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# @show xdata, ydata, zdata
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setxyz!(plt, (extendSeriesData(xdata, x), extendSeriesData(ydata, y), extendSeriesData(zdata, z)), i)
|
|
||||||
plt
|
|
||||||
end
|
|
||||||
function Base.append!(plt::Plot, i::Integer, x::AVec, y::AVec, z::AVec)
|
|
||||||
@assert length(x) == length(y) == length(z)
|
|
||||||
xdata, ydata, zdata = getxyz(plt, i)
|
|
||||||
setxyz!(plt, (extendSeriesData(xdata, x), extendSeriesData(ydata, y), extendSeriesData(zdata, z)), i)
|
|
||||||
plt
|
|
||||||
end
|
|
||||||
|
|
||||||
# tuples
|
# tuples
|
||||||
Base.push!(plt::Plot, xy::Tuple{X,Y}) where {X,Y} = push!(plt, 1, xy...)
|
Base.push!(plt::Plot, t::Tuple) = push!(plt, 1, t...)
|
||||||
Base.push!(plt::Plot, xyz::Tuple{X,Y,Z}) where {X,Y,Z} = push!(plt, 1, xyz...)
|
Base.push!(plt::Plot, i::Integer, t::Tuple) = push!(plt, i, t...)
|
||||||
Base.push!(plt::Plot, i::Integer, xy::Tuple{X,Y}) where {X,Y} = push!(plt, i, xy...)
|
Base.append!(plt::Plot, t::Tuple) = append!(plt, 1, t...)
|
||||||
Base.push!(plt::Plot, i::Integer, xyz::Tuple{X,Y,Z}) where {X,Y,Z} = push!(plt, i, xyz...)
|
Base.append!(plt::Plot, i::Integer, t::Tuple) = append!(plt, i, t...)
|
||||||
|
|
||||||
# -------------------------------------------------------
|
# -------------------------------------------------------
|
||||||
# push/append for all series
|
# push/append for all series
|
||||||
|
|||||||
Loading…
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Reference in New Issue
Block a user