Compare commits
15 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| acca707f34 | |||
| 6fa3dae166 | |||
| 866cb0c335 | |||
| 4d40bae9cc | |||
| 5a48002d31 | |||
| 0cd81243ad | |||
| ed3bab0e6f | |||
| 4621c18b23 | |||
| 4f8a265c6a | |||
| e2539a3d19 | |||
| 85739932f0 | |||
| 9d84e53bcb | |||
| 82f31c48b7 | |||
| 81571fe534 | |||
| 293b8b112e |
@@ -20,10 +20,11 @@ Backend | yes | no | untested
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-------------|-----|-----|---------
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gr (default) | | |
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pyplot | | |
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plotly | | |
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plotlyjs | | |
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pgfplotsx | | |
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unicodeplots | | |
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inspectdr | | |
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gaston | | |
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### Versions
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+1
-1
@@ -1,7 +1,7 @@
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name = "Plots"
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uuid = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
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author = ["Tom Breloff (@tbreloff)"]
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version = "1.22.0"
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version = "1.22.2"
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[deps]
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Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
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+23
-7
@@ -68,6 +68,10 @@ function _precompile_()
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ccall(:jl_generating_output, Cint, ()) == 1 || return nothing
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Base.precompile(Tuple{Core.kwftype(typeof(Type)),NamedTuple{(:label, :blank), Tuple{Symbol, Bool}},Type{EmptyLayout}})
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Base.precompile(Tuple{Core.kwftype(typeof(Type)),NamedTuple{(:label, :width, :height), Tuple{Symbol, Symbol, Length{:pct, Float64}}},Type{EmptyLayout}})
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Base.precompile(Tuple{Core.kwftype(typeof(Type)),NamedTuple{(:parent,), Tuple{GridLayout}},Type{Subplot},GRBackend})
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Base.precompile(Tuple{Core.kwftype(typeof(Type)),NamedTuple{(:parent,), Tuple{GridLayout}},Type{Subplot},PlotlyBackend})
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Base.precompile(Tuple{Core.kwftype(typeof(Type)),NamedTuple{(:parent,), Tuple{Subplot{GRBackend}}},Type{Subplot},GRBackend})
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Base.precompile(Tuple{Core.kwftype(typeof(Type)),NamedTuple{(:parent,), Tuple{Subplot{PlotlyBackend}}},Type{Subplot},PlotlyBackend})
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Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}},typeof(_make_hist),Tuple{Vector{Float64}, Vector{Float64}},Int64})
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Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}},typeof(_make_hist),Tuple{Vector{Float64}, Vector{Float64}},Tuple{Int64, Int64}})
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Base.precompile(Tuple{Core.kwftype(typeof(_make_hist)),NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}},typeof(_make_hist),Tuple{Vector{Float64}},Symbol})
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@@ -85,7 +89,7 @@ function _precompile_()
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Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:lims, :flip, :ticks, :guide), Tuple{Tuple{Int64, Int64}, Bool, StepRange{Int64, Int64}, String}},typeof(attr!),Axis})
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Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:lims,), Tuple{Tuple{Int64, Float64}}},typeof(attr!),Axis})
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Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:minorgrid, :scale, :guide), Tuple{Bool, Symbol, String}},typeof(attr!),Axis})
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Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:ticks,), Tuple{UnitRange{Int64}}},typeof(attr!),Axis})
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Base.precompile(Tuple{Core.kwftype(typeof(attr!)),NamedTuple{(:rotation,), Tuple{Int64}},typeof(attr!),Axis})
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Base.precompile(Tuple{Core.kwftype(typeof(default)),NamedTuple{(:shape,), Tuple{Symbol}},typeof(default)})
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Base.precompile(Tuple{Core.kwftype(typeof(default)),NamedTuple{(:titlefont, :legendfontsize, :guidefont, :tickfont, :guide, :framestyle, :yminorgrid), Tuple{Tuple{Int64, String}, Int64, Tuple{Int64, Symbol}, Tuple{Int64, Symbol}, String, Symbol, Bool}},typeof(default)})
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Base.precompile(Tuple{Core.kwftype(typeof(font)),NamedTuple{(:family, :pointsize, :halign, :valign, :rotation, :color), Tuple{String, Int64, Symbol, Symbol, Float64, RGBA{Float64}}},typeof(font)})
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@@ -117,9 +121,15 @@ function _precompile_()
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype, :inset), Tuple{Symbol, Tuple{Int64, BoundingBox{Tuple{Length{:w, Float64}, Length{:h, Float64}}, Tuple{Length{:w, Float64}, Length{:h, Float64}}}}}},typeof(plot!),Plot{GRBackend},Vector{Int64},Vector{Float64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype, :inset), Tuple{Symbol, Tuple{Int64, BoundingBox{Tuple{Length{:w, Float64}, Length{:h, Float64}}, Tuple{Length{:w, Float64}, Length{:h, Float64}}}}}},typeof(plot!),Plot{PlotlyBackend},Vector{Int64},Vector{Float64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype, :inset), Tuple{Symbol, Tuple{Int64, BoundingBox{Tuple{Length{:w, Float64}, Length{:h, Float64}}, Tuple{Length{:w, Float64}, Length{:h, Float64}}}}}},typeof(plot!),Vector{Int64},Vector{Float64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot!),Plot{GRBackend},Vector{Int64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{Int64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:seriestype,), Tuple{Symbol}},typeof(plot!),Vector{Int64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:title,), Tuple{String}},typeof(plot!),Plot{GRBackend}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:title,), Tuple{String}},typeof(plot!),Plot{PlotlyBackend}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:title,), Tuple{String}},typeof(plot!)})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:w,), Tuple{Int64}},typeof(plot!),Plot{GRBackend},Vector{Float64},Vector{Float64},Vararg{Any, N} where N})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:xgrid,), Tuple{Tuple{Symbol, Symbol, Int64, Symbol, Float64}}},typeof(plot!),Plot{GRBackend}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:yaxis, :minorgrid), Tuple{Tuple{String, Symbol}, Bool}},typeof(plot!),Plot{GRBackend}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:yaxis, :minorgrid), Tuple{Tuple{String, Symbol}, Bool}},typeof(plot!)})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:zcolor, :m, :ms, :lab, :seriestype), Tuple{Vector{Float64}, Tuple{Symbol, Float64, Stroke}, Vector{Float64}, String, Symbol}},typeof(plot!),Plot{GRBackend},Vector{Float64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot!)),NamedTuple{(:zcolor, :m, :ms, :lab, :seriestype), Tuple{Vector{Float64}, Tuple{Symbol, Float64, Stroke}, Vector{Float64}, String, Symbol}},typeof(plot!),Plot{PlotlyBackend},Vector{Float64}})
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@@ -169,7 +179,7 @@ function _precompile_()
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Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:projection, :seriestype), Tuple{Symbol, Symbol}},typeof(plot),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},UnitRange{Int64},Matrix{Int64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:quiver, :seriestype), Tuple{Tuple{Vector{Float64}, Vector{Float64}, Vector{Float64}}, Symbol}},typeof(plot),Vector{Float64},Vector{Float64},Vector{Float64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:reg, :fill), Tuple{Bool, Tuple{Int64, Symbol}}},typeof(plot),Vector{Float64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{Int64}},typeof(plot),UnitRange{Int64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}}},typeof(plot),UnitRange{Int64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{Tuple{LinRange{Float64}, LinRange{Float64}}}},typeof(plot),UnitRange{Int64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:ribbon,), Tuple{typeof(sqrt)}},typeof(plot),UnitRange{Int64}})
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Base.precompile(Tuple{Core.kwftype(typeof(plot)),NamedTuple{(:seriestype, :markershape, :markersize, :color), Tuple{Matrix{Symbol}, Vector{Symbol}, Int64, Vector{Symbol}}},typeof(plot),Matrix{Float64}})
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@@ -190,6 +200,7 @@ function _precompile_()
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Base.precompile(Tuple{Core.kwftype(typeof(scatter!)),Any,typeof(scatter!),Any})
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Base.precompile(Tuple{Core.kwftype(typeof(test_examples)),NamedTuple{(:skip, :disp), Tuple{Vector{Int64}, Bool}},typeof(test_examples),Symbol})
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Base.precompile(Tuple{Core.kwftype(typeof(test_examples)),NamedTuple{(:skip,), Tuple{Vector{Int64}}},typeof(test_examples),Symbol})
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Base.precompile(Tuple{Type{GridLayout},Int64,Vararg{Int64, N} where N})
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Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},AbstractVector{OHLC}})
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Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},PortfolioComposition})
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Base.precompile(Tuple{typeof(RecipesBase.apply_recipe),AbstractDict{Symbol, Any},Type{Val{:barhist}},Any,Any,Any})
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@@ -222,6 +233,7 @@ function _precompile_()
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Base.precompile(Tuple{typeof(_cbar_unique),Vector{PlotUtils.ContinuousColorGradient},String})
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Base.precompile(Tuple{typeof(_cbar_unique),Vector{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}},String})
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Base.precompile(Tuple{typeof(_cbar_unique),Vector{Symbol},String})
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Base.precompile(Tuple{typeof(_cycle),Vector{Float64},UnitRange{Int64}})
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Base.precompile(Tuple{typeof(_do_plot_show),Plot{GRBackend},Bool})
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Base.precompile(Tuple{typeof(_do_plot_show),Plot{PlotlyBackend},Bool})
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Base.precompile(Tuple{typeof(_heatmap_edges),Vector{Float64},Bool,Bool})
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@@ -241,12 +253,15 @@ function _precompile_()
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Base.precompile(Tuple{typeof(build_layout),GridLayout,Int64,Vector{Plot}})
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Base.precompile(Tuple{typeof(convert_to_polar),StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}},Vector{Float64},Tuple{Int64, Float64}})
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Base.precompile(Tuple{typeof(create_grid),Expr})
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Base.precompile(Tuple{typeof(discrete_value!),Axis,Vector{String}})
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Base.precompile(Tuple{typeof(default),Symbol,String})
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Base.precompile(Tuple{typeof(error_coords),Vector{Float64},Vector{Float64},Vector{Float64},Vararg{Vector{Float64}, N} where N})
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Base.precompile(Tuple{typeof(error_coords),Vector{Float64},Vector{Float64},Vector{Float64}})
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Base.precompile(Tuple{typeof(error_zipit),Tuple{Vector{Float64}, Vector{Float64}, Vector{Float64}}})
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Base.precompile(Tuple{typeof(expand_extrema!),Axis,UnitRange{Int64}})
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Base.precompile(Tuple{typeof(fakedata),Int64,Int64})
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Base.precompile(Tuple{typeof(get_minor_ticks),Subplot{GRBackend},Axis,Tuple{Vector{Float64}, Vector{String}}})
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Base.precompile(Tuple{typeof(get_minor_ticks),Subplot{GRBackend},Axis,Tuple{Vector{Int64}, Vector{String}}})
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Base.precompile(Tuple{typeof(get_series_color),PlotUtils.ContinuousColorGradient,Subplot{GRBackend},Int64,Symbol})
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Base.precompile(Tuple{typeof(get_ticks),StepRange{Int64, Int64},Vector{Float64},Vector{Any},Tuple{Int64, Int64},Vararg{Any, N} where N})
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Base.precompile(Tuple{typeof(get_ticks),Symbol,Vector{Float64},Vector{Any},Tuple{Float64, Float64},Vararg{Any, N} where N})
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Base.precompile(Tuple{typeof(get_ticks),Symbol,Vector{Float64},Vector{Any},Tuple{Int64, Float64},Vararg{Any, N} where N})
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@@ -272,7 +287,6 @@ function _precompile_()
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Base.precompile(Tuple{typeof(gr_draw_segments),Series,Base.OneTo{Int64},Vector{Float64},Int64,Tuple{Float64, Float64}})
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Base.precompile(Tuple{typeof(gr_draw_segments),Series,StepRange{Int64, Int64},Vector{Float64},Int64,Tuple{Float64, Float64}})
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Base.precompile(Tuple{typeof(gr_draw_segments),Series,Vector{Float64},Vector{Float64},Int64,Tuple{Float64, Float64}})
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Base.precompile(Tuple{typeof(gr_draw_segments_3d),Series,Vector{Float64},Vector{Float64},Vector{Float64},Tuple{Float64, Float64}})
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Base.precompile(Tuple{typeof(gr_draw_shapes),Series,Tuple{Float64, Float64}})
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Base.precompile(Tuple{typeof(gr_draw_surface),Series,Vector{Float64},Vector{Float64},Matrix{Float64},Tuple{Float64, Float64}})
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Base.precompile(Tuple{typeof(gr_draw_surface),Series,Vector{Float64},Vector{Float64},Vector{Float64},Tuple{Float64, Float64}})
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@@ -292,6 +306,8 @@ function _precompile_()
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Base.precompile(Tuple{typeof(heatmap_edges),Vector{Float64},Symbol,UnitRange{Int64},Symbol,Tuple{Int64, Int64},Bool})
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Base.precompile(Tuple{typeof(heatmap_edges),Vector{Float64},Symbol,Vector{Float64},Symbol,Tuple{Int64, Int64},Bool})
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Base.precompile(Tuple{typeof(heatmap_edges),Vector{Float64},Symbol})
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Base.precompile(Tuple{typeof(ignorenan_minimum),Vector{Int64}})
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Base.precompile(Tuple{typeof(intersection_point),Float64,Float64,Float64,Float64,Float64,Float64})
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Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Float64, Float64},Symbol,Function})
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Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Float64, Float64},Symbol,Symbol})
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Base.precompile(Tuple{typeof(optimal_ticks_and_labels),Nothing,Tuple{Int64, Float64},Symbol,Symbol})
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@@ -321,11 +337,11 @@ function _precompile_()
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Base.precompile(Tuple{typeof(process_annotation),Subplot{PlotlyBackend},Int64,Float64,Tuple{String, Symbol, Int64, String}})
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Base.precompile(Tuple{typeof(process_axis_arg!),Dict{Symbol, Any},StepRange{Int64, Int64},Symbol})
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Base.precompile(Tuple{typeof(process_axis_arg!),Dict{Symbol, Any},Symbol,Symbol})
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Base.precompile(Tuple{typeof(process_axis_arg!),Dict{Symbol, Any},Tuple{Int64, Int64},Symbol})
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Base.precompile(Tuple{typeof(push!),Plot{GRBackend},Float64,Vector{Float64}})
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Base.precompile(Tuple{typeof(resetfontsizes)})
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Base.precompile(Tuple{typeof(scalefontsizes),Float64})
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Base.precompile(Tuple{typeof(series_annotations),Vector{Any}})
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Base.precompile(Tuple{typeof(slice_arg),Matrix{String},Int64})
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Base.precompile(Tuple{typeof(spy),Any})
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Base.precompile(Tuple{typeof(straightline_data),Tuple{Float64, Float64},Tuple{Float64, Float64},Vector{Float64},Vector{Float64},Int64})
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Base.precompile(Tuple{typeof(stroke),Int64,Vararg{Any, N} where N})
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@@ -370,9 +386,9 @@ function _precompile_()
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precompile(fbody, (Any,typeof(title!),AbstractString,))
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end
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end
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let fbody = try __lookup_kwbody__(which(wireframe, (Any,Vararg{Any, N} where N,))) catch missing end
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let fbody = try __lookup_kwbody__(which(vline!, (Any,))) catch missing end
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if !ismissing(fbody)
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precompile(fbody, (Any,typeof(wireframe),Any,Vararg{Any, N} where N,))
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precompile(fbody, (Any,typeof(vline!),Any,))
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end
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end
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end
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+20
-5
@@ -24,8 +24,9 @@ function add_aliases(sym::Symbol, aliases::Symbol...)
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return nothing
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end
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function add_axes_aliases(sym::Symbol, aliases::Symbol...)
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function add_axes_aliases(sym::Symbol, aliases::Symbol...; generic::Bool = true)
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sym in keys(_axis_defaults) || throw(ArgumentError("Invalid `$sym`"))
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generic && add_aliases(sym, aliases...)
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for letter in (:x, :y, :z)
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add_aliases(Symbol(letter, sym), (Symbol(letter, a) for a in aliases)...)
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end
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@@ -841,13 +842,20 @@ add_aliases(:markerstrokealpha, :msa, :msalpha, :msα, :markerstrokeopacity, :ms
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add_aliases(:fillalpha, :fa, :falpha, :fα, :fillopacity, :fopacity)
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|
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# axes attributes
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add_axes_aliases(:guide, :label, :lab, :l)
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add_axes_aliases(:guide, :label, :lab, :l; generic = false)
|
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add_axes_aliases(:lims, :lim, :limit, :limits, :range)
|
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add_axes_aliases(:ticks, :tick)
|
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add_axes_aliases(:rotation, :rot, :r)
|
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add_axes_aliases(:guidefontsize, :labelfontsize)
|
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add_axes_aliases(:gridalpha, :ga, :galpha, :gα, :gridopacity, :gopacity)
|
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add_axes_aliases(:gridstyle, :grid_style, :gridlinestyle, :grid_linestyle, :grid_ls, :gridls)
|
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add_axes_aliases(
|
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:gridstyle,
|
||||
:grid_style,
|
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:gridlinestyle,
|
||||
:grid_linestyle,
|
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:grid_ls,
|
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:gridls,
|
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)
|
||||
add_axes_aliases(
|
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:foreground_color_grid,
|
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:fg_grid,
|
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@@ -872,7 +880,14 @@ add_axes_aliases(
|
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:fg_colour_minor_grid,
|
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:minorgridcolor,
|
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)
|
||||
add_axes_aliases(:gridlinewidth, :gridwidth, :grid_linewidth, :grid_width, :gridlw, :grid_lw)
|
||||
add_axes_aliases(
|
||||
:gridlinewidth,
|
||||
:gridwidth,
|
||||
:grid_linewidth,
|
||||
:grid_width,
|
||||
:gridlw,
|
||||
:grid_lw,
|
||||
)
|
||||
add_axes_aliases(
|
||||
:minorgridstyle,
|
||||
:minorgrid_style,
|
||||
@@ -1570,7 +1585,7 @@ function warn_on_unsupported_args(pkg::AbstractBackend, plotattributes)
|
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end
|
||||
|
||||
if !isempty(_to_warn) &&
|
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!get(plotattributes, :warn_on_unsupported, _plot_defaults[:warn_on_unsupported])
|
||||
get(plotattributes, :warn_on_unsupported, _plot_defaults[:warn_on_unsupported])
|
||||
for k in sort(collect(_to_warn))
|
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push!(already_warned, k)
|
||||
@warn(
|
||||
|
||||
+16
-5
@@ -402,6 +402,7 @@ const _gr_attr = merge_with_base_supported([
|
||||
:tick_direction,
|
||||
:camera,
|
||||
:contour_labels,
|
||||
:connections,
|
||||
])
|
||||
const _gr_seriestype = [
|
||||
:path,
|
||||
@@ -521,6 +522,7 @@ const _plotly_attr = merge_with_base_supported([
|
||||
:tick_direction,
|
||||
:camera,
|
||||
:contour_labels,
|
||||
:connections,
|
||||
])
|
||||
|
||||
const _plotly_seriestype = [
|
||||
@@ -777,6 +779,7 @@ const _pyplot_attr = merge_with_base_supported([
|
||||
:tick_direction,
|
||||
:camera,
|
||||
:contour_labels,
|
||||
:connections,
|
||||
])
|
||||
const _pyplot_seriestype = [
|
||||
:path,
|
||||
@@ -793,6 +796,7 @@ const _pyplot_seriestype = [
|
||||
:contour3d,
|
||||
:path3d,
|
||||
:scatter3d,
|
||||
:mesh3d,
|
||||
:surface,
|
||||
:wireframe,
|
||||
]
|
||||
@@ -860,6 +864,7 @@ const _gaston_attr = merge_with_base_supported([
|
||||
# :framestyle,
|
||||
# :camera,
|
||||
# :contour_labels,
|
||||
:connections,
|
||||
])
|
||||
|
||||
const _gaston_seriestype = [
|
||||
@@ -911,16 +916,21 @@ const _gaston_scale = [:identity, :ln, :log2, :log10]
|
||||
|
||||
const _unicodeplots_attr = merge_with_base_supported([
|
||||
:annotations,
|
||||
:bins,
|
||||
:guide,
|
||||
# :grid,
|
||||
:label,
|
||||
:layout,
|
||||
:legend,
|
||||
:seriescolor,
|
||||
:seriesalpha,
|
||||
:lims,
|
||||
:linealpha,
|
||||
:linecolor,
|
||||
:linestyle,
|
||||
:markershape,
|
||||
:bins,
|
||||
:seriesalpha,
|
||||
:seriescolor,
|
||||
:scale,
|
||||
:title,
|
||||
:guide,
|
||||
:lims,
|
||||
])
|
||||
const _unicodeplots_seriestype = [
|
||||
:path,
|
||||
@@ -1235,6 +1245,7 @@ const _pgfplotsx_attr = merge_with_base_supported([
|
||||
:tick_direction,
|
||||
:camera,
|
||||
:contour_labels,
|
||||
:connections,
|
||||
])
|
||||
const _pgfplotsx_seriestype = [
|
||||
:path,
|
||||
|
||||
@@ -512,10 +512,26 @@ function pgfx_add_series!(::Val{:heatmap}, axis, series_opt, series, series_func
|
||||
end
|
||||
|
||||
function pgfx_add_series!(::Val{:mesh3d}, axis, series_opt, series, series_func, opt)
|
||||
ptable = join(
|
||||
[string(i, " ", j, " ", k, "\\\\") for (i, j, k) in zip(opt[:connections]...)],
|
||||
"\n ",
|
||||
)
|
||||
if opt[:connections] isa Tuple{Array,Array,Array}
|
||||
# 0-based indexing
|
||||
ptable = join(
|
||||
[string(i, " ", j, " ", k, "\\\\") for (i, j, k) in zip(opt[:connections]...)],
|
||||
"\n ",
|
||||
)
|
||||
elseif typeof(opt[:connections]) <: AbstractVector{NTuple{3, Int}}
|
||||
# 1-based indexing
|
||||
ptable = join(
|
||||
[string(i-1, " ", j-1, " ", k-1, "\\\\") for (i, j, k) in opt[:connections]],
|
||||
"\n ",
|
||||
)
|
||||
else
|
||||
throw(
|
||||
ArgumentError(
|
||||
"Argument connections has to be either a tuple of three arrays (0-based indexing)
|
||||
or an AbstractVector{NTuple{3,Int}} (1-based indexing).",
|
||||
),
|
||||
)
|
||||
end
|
||||
push!(
|
||||
series_opt,
|
||||
"patch" => nothing,
|
||||
|
||||
@@ -678,6 +678,7 @@ function plotly_series(plt::Plot, series::Series)
|
||||
|
||||
if series[:connections] !== nothing
|
||||
if typeof(series[:connections]) <: Tuple{Array,Array,Array}
|
||||
# 0-based indexing
|
||||
i, j, k = series[:connections]
|
||||
if !(length(i) == length(j) == length(k))
|
||||
throw(
|
||||
@@ -689,10 +690,17 @@ function plotly_series(plt::Plot, series::Series)
|
||||
plotattributes_out[:i] = i
|
||||
plotattributes_out[:j] = j
|
||||
plotattributes_out[:k] = k
|
||||
elseif typeof(series[:connections]) <: AbstractVector{NTuple{3, Int}}
|
||||
# 1-based indexing
|
||||
i, j, k = broadcast(i -> [ inds[i]-1 for inds in series[:connections]], (1, 2, 3))
|
||||
plotattributes_out[:i] = i
|
||||
plotattributes_out[:j] = j
|
||||
plotattributes_out[:k] = k
|
||||
else
|
||||
throw(
|
||||
ArgumentError(
|
||||
"Argument connections has to be a tuple of three arrays.",
|
||||
"Argument connections has to be either a tuple of three arrays (0-based indexing)
|
||||
or an AbstractVector{NTuple{3,Int}} (1-based indexing).",
|
||||
),
|
||||
)
|
||||
end
|
||||
|
||||
+64
-4
@@ -26,9 +26,25 @@ pyrcparams = PyPlot.PyDict(PyPlot.matplotlib."rcParams")
|
||||
|
||||
# "support" matplotlib v3.4
|
||||
if PyPlot.version < v"3.4"
|
||||
@warn("You are using Matplotlib $(PyPlot.version), which is no longer
|
||||
@warn("""You are using Matplotlib $(PyPlot.version), which is no longer
|
||||
officialy supported by the Plots community. To ensure smooth Plots.jl
|
||||
integration update your Matplotlib library to a version >= 3.4.0")
|
||||
integration update your Matplotlib library to a version >= 3.4.0
|
||||
|
||||
If you have used Conda.jl to install PyPlot (default installation),
|
||||
upgrade your matplotlib via Conda.jl and rebuild the PyPlot.
|
||||
|
||||
If you are not sure, here are the default instructions:
|
||||
|
||||
In Julia REPL:
|
||||
```
|
||||
import Pkg;
|
||||
Pkg.add("Conda")
|
||||
import Conda
|
||||
Conda.update()
|
||||
Pkg.build("PyPlot")
|
||||
```
|
||||
|
||||
""")
|
||||
end
|
||||
|
||||
set_facecolor_sym = if PyPlot.version < v"2"
|
||||
@@ -682,6 +698,43 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
end
|
||||
end
|
||||
|
||||
if st == :mesh3d
|
||||
polygons = if series[:connections] isa AbstractVector{<:AbstractVector{Int}}
|
||||
# Combination of any polygon types
|
||||
broadcast(inds -> broadcast(i -> [x[i], y[i], z[i]], inds), series[:connections])
|
||||
elseif series[:connections] isa AbstractVector{NTuple{N, Int}} where N
|
||||
# Only N-gons - connections have to be 1-based (indexing)
|
||||
broadcast(inds -> broadcast(i -> [x[i], y[i], z[i]], inds), series[:connections])
|
||||
elseif series[:connections] isa NTuple{3,<:AbstractVector{Int}}
|
||||
# Only triangles - connections have to be 0-based (indexing)
|
||||
ci, cj, ck = series[:connections]
|
||||
if !(length(ci) == length(cj) == length(ck))
|
||||
throw(
|
||||
ArgumentError("Argument connections must consist of equally sized arrays."),
|
||||
)
|
||||
end
|
||||
broadcast(j -> broadcast(i -> [x[i], y[i], z[i]], [ci[j]+1, cj[j]+1, ck[j]+1]), eachindex(ci))
|
||||
else
|
||||
throw(
|
||||
ArgumentError("Unsupported `:connections` type $(typeof(series[:connections])) for seriestype=$st"),
|
||||
)
|
||||
end
|
||||
col = mplot3d.art3d.Poly3DCollection(polygons,
|
||||
linewidths = py_thickness_scale(plt, series[:linewidth]),
|
||||
edgecolor = py_color(get_linecolor(series)),
|
||||
facecolor = py_color(series[:fillcolor]),
|
||||
alpha = get_fillalpha(series),
|
||||
zorder = series[:series_plotindex]
|
||||
)
|
||||
handle = ax."add_collection3d"(col)
|
||||
# Fix for handle: https://stackoverflow.com/questions/54994600/pyplot-legend-poly3dcollection-object-has-no-attribute-edgecolors2d
|
||||
# It seems there aren't two different alpha values for edge and face
|
||||
handle._facecolors2d = py_color(series[:fillcolor])
|
||||
handle._edgecolors2d = py_color(get_linecolor(series))
|
||||
push!(handles, handle)
|
||||
end
|
||||
|
||||
|
||||
if st == :image
|
||||
xmin, xmax = ignorenan_extrema(series[:x])
|
||||
ymin, ymax = ignorenan_extrema(series[:y])
|
||||
@@ -1219,7 +1272,7 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
end
|
||||
|
||||
py_set_scale(ax, sp, axis)
|
||||
axis[:ticks] == :native ? nothing : py_set_lims(ax, sp, axis)
|
||||
py_set_lims(ax, sp, axis)
|
||||
if ispolar(sp) && letter == :y
|
||||
ax."set_rlabel_position"(90)
|
||||
end
|
||||
@@ -1254,7 +1307,14 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
)
|
||||
end
|
||||
|
||||
axis[:ticks] == :native ? nothing : py_set_ticks(sp, ax, ticks, letter)
|
||||
py_set_ticks(sp, ax, ticks, letter)
|
||||
|
||||
if axis[:ticks] == :native # It is easier to reset than to account for this
|
||||
py_set_lims(ax, sp, axis)
|
||||
pyaxis.set_major_locator(pyticker.AutoLocator())
|
||||
pyaxis.set_major_formatter(pyticker.ScalarFormatter())
|
||||
end
|
||||
|
||||
# Tick marks
|
||||
intensity = 0.5 # This value corresponds to scaling of other grid elements
|
||||
pyaxis."set_tick_params"(
|
||||
|
||||
@@ -1,12 +1,10 @@
|
||||
|
||||
# https://github.com/JuliaPlots/UnicodePlots.jl
|
||||
|
||||
# don't warn on unsupported... there's just too many warnings!!
|
||||
warn_on_unsupported_args(::UnicodePlotsBackend, plotattributes::KW) = nothing
|
||||
warn_on_unsupported_args(::UnicodePlotsBackend, plotattributes) = nothing
|
||||
|
||||
# --------------------------------------------------------------------------------------
|
||||
|
||||
_canvas_map() = (
|
||||
# ------------------------------------------------------------------------------------------
|
||||
const _canvas_map = (
|
||||
ascii = UnicodePlots.AsciiCanvas,
|
||||
block = UnicodePlots.BlockCanvas,
|
||||
braille = UnicodePlots.BrailleCanvas,
|
||||
@@ -16,22 +14,26 @@ _canvas_map() = (
|
||||
lookup = UnicodePlots.LookupCanvas,
|
||||
)
|
||||
|
||||
# do all the magic here... build it all at once, since we need to know about all the series at the very beginning
|
||||
# do all the magic here... build it all at once,
|
||||
# since we need to know about all the series at the very beginning
|
||||
function unicodeplots_rebuild(plt::Plot{UnicodePlotsBackend})
|
||||
plt.o = UnicodePlots.Plot[]
|
||||
canvas_map = _canvas_map()
|
||||
|
||||
for sp in plt.subplots
|
||||
xaxis = sp[:xaxis]
|
||||
yaxis = sp[:yaxis]
|
||||
xlim = collect(axis_limits(sp, :x))
|
||||
ylim = collect(axis_limits(sp, :y))
|
||||
|
||||
# we set x/y to have a single point, since we need to create the plot with some data.
|
||||
# since this point is at the bottom left corner of the plot, it shouldn't actually be shown
|
||||
# we set x/y to have a single point,
|
||||
# since we need to create the plot with some data.
|
||||
# since this point is at the bottom left corner of the plot,
|
||||
# it shouldn't actually be shown
|
||||
x = Float64[xlim[1]]
|
||||
y = Float64[ylim[1]]
|
||||
|
||||
# create a plot window with xlim/ylim set, but the X/Y vectors are outside the bounds
|
||||
# create a plot window with xlim/ylim set,
|
||||
# but the X/Y vectors are outside the bounds
|
||||
canvas_type = if (ct = _canvas_type[]) == :auto
|
||||
isijulia() ? :ascii : :braille
|
||||
else
|
||||
@@ -39,17 +41,18 @@ function unicodeplots_rebuild(plt::Plot{UnicodePlotsBackend})
|
||||
end
|
||||
|
||||
kw = (
|
||||
compact = true,
|
||||
title = sp[:title],
|
||||
xlim = xlim,
|
||||
ylim = ylim,
|
||||
border = isijulia() ? :ascii : :solid,
|
||||
xlabel = xaxis[:guide],
|
||||
ylabel = yaxis[:guide],
|
||||
xscale = xaxis[:scale],
|
||||
yscale = yaxis[:scale],
|
||||
border = isijulia() ? :ascii : :solid,
|
||||
xlim = xlim,
|
||||
ylim = ylim,
|
||||
)
|
||||
|
||||
o = UnicodePlots.Plot(x, y, canvas_map[canvas_type]; kw...)
|
||||
o = UnicodePlots.Plot(x, y, _canvas_map[canvas_type]; kw...)
|
||||
for series in series_list(sp)
|
||||
o = addUnicodeSeries!(sp, o, kw, series, sp[:legend] != :none)
|
||||
end
|
||||
@@ -57,8 +60,13 @@ function unicodeplots_rebuild(plt::Plot{UnicodePlotsBackend})
|
||||
for ann in sp[:annotations]
|
||||
x, y, val = locate_annotation(sp, ann...)
|
||||
o = UnicodePlots.annotate!(
|
||||
o, x, y, val.str;
|
||||
color = up_color(val.font.color), halign = val.font.halign, valign = val.font.valign
|
||||
o,
|
||||
x,
|
||||
y,
|
||||
val.str;
|
||||
color = up_color(val.font.color),
|
||||
halign = val.font.halign,
|
||||
valign = val.font.valign,
|
||||
)
|
||||
end
|
||||
|
||||
@@ -66,23 +74,18 @@ function unicodeplots_rebuild(plt::Plot{UnicodePlotsBackend})
|
||||
end
|
||||
end
|
||||
|
||||
function up_color(col)
|
||||
if typeof(col) <: UnicodePlots.UserColorType
|
||||
color = col
|
||||
elseif typeof(col) <: RGBA
|
||||
col = convert(ARGB32, col)
|
||||
color = map(Int, (red(col).i, green(col).i, blue(col).i))
|
||||
else
|
||||
color = :auto
|
||||
end
|
||||
color
|
||||
end
|
||||
up_color(col::UnicodePlots.UserColorType) = col
|
||||
up_color(col::RGBA) =
|
||||
(c = convert(ARGB32, col); map(Int, (red(c).i, green(c).i, blue(c).i)))
|
||||
up_color(col) = :auto
|
||||
|
||||
# add a single series
|
||||
function addUnicodeSeries!(
|
||||
sp::Subplot{UnicodePlotsBackend},
|
||||
up::UnicodePlots.Plot,
|
||||
kw, series, addlegend::Bool,
|
||||
kw,
|
||||
series,
|
||||
addlegend::Bool,
|
||||
)
|
||||
st = series[:seriestype]
|
||||
|
||||
@@ -106,7 +109,7 @@ function addUnicodeSeries!(
|
||||
series[:z].surf;
|
||||
zlabel = sp[:colorbar_title],
|
||||
colormap = cmap,
|
||||
kw...
|
||||
kw...,
|
||||
)
|
||||
elseif st == :spy
|
||||
return UnicodePlots.spy(series[:z].surf; kw...)
|
||||
@@ -131,17 +134,23 @@ function addUnicodeSeries!(
|
||||
|
||||
for (xi, yi, str, fnt) in EachAnn(series[:series_annotations], x, y)
|
||||
up = UnicodePlots.annotate!(
|
||||
up, xi, yi, str;
|
||||
color = up_color(fnt.color), halign = fnt.halign, valign = fnt.valign
|
||||
up,
|
||||
xi,
|
||||
yi,
|
||||
str;
|
||||
color = up_color(fnt.color),
|
||||
halign = fnt.halign,
|
||||
valign = fnt.valign,
|
||||
)
|
||||
end
|
||||
|
||||
return up
|
||||
end
|
||||
|
||||
# -------------------------------
|
||||
# ------------------------------------------------------------------------------------------
|
||||
|
||||
# since this is such a hack, it's only callable using `png`... should error during normal `show`
|
||||
# since this is such a hack, it's only callable using `png`...
|
||||
# should error during normal `show`
|
||||
function png(plt::Plot{UnicodePlotsBackend}, fn::AbstractString)
|
||||
fn = addExtension(fn, "png")
|
||||
|
||||
@@ -149,17 +158,10 @@ function png(plt::Plot{UnicodePlotsBackend}, fn::AbstractString)
|
||||
# make some whitespace and show the plot
|
||||
println("\n\n\n\n\n\n")
|
||||
gui(plt)
|
||||
|
||||
# BEGIN HACK
|
||||
|
||||
# wait while the plot gets drawn
|
||||
sleep(0.5)
|
||||
|
||||
# use osx screen capture when my terminal is maximized and cursor starts at the bottom (I know, right?)
|
||||
# TODO: compute size of plot to adjust these numbers (or maybe implement something good??)
|
||||
# use osx screen capture when my terminal is maximized
|
||||
# and cursor starts at the bottom (I know, right?)
|
||||
run(`screencapture -R50,600,700,420 $fn`)
|
||||
|
||||
# END HACK (phew)
|
||||
return
|
||||
elseif Sys.islinux()
|
||||
run(`clear`)
|
||||
@@ -169,12 +171,14 @@ function png(plt::Plot{UnicodePlotsBackend}, fn::AbstractString)
|
||||
end
|
||||
|
||||
error(
|
||||
"Can only savepng on MacOS or Linux with UnicodePlots (though even then I wouldn't do it)",
|
||||
"Can only savepng on MacOS or Linux with UnicodePlots " *
|
||||
"(though even then I wouldn't do it)",
|
||||
)
|
||||
end
|
||||
|
||||
# -------------------------------
|
||||
Base.show(plt::Plot{UnicodePlotsBackend}) = _show(stdout, MIME("text/plain"), plt)
|
||||
# ------------------------------------------------------------------------------------------
|
||||
Base.show(plt::Plot{UnicodePlotsBackend}) = show(stdout, plt)
|
||||
Base.show(io::IO, plt::Plot{UnicodePlotsBackend}) = _show(io, MIME("text/plain"), plt)
|
||||
|
||||
function _show(io::IO, ::MIME"text/plain", plt::Plot{UnicodePlotsBackend})
|
||||
unicodeplots_rebuild(plt)
|
||||
@@ -182,9 +186,11 @@ function _show(io::IO, ::MIME"text/plain", plt::Plot{UnicodePlotsBackend})
|
||||
lines_colored = Array{Union{Nothing,Vector{String}}}(undef, nr, nc)
|
||||
lines_uncolored = copy(lines_colored)
|
||||
l_max = zeros(Int, nr)
|
||||
w_max = zeros(Int, nc)
|
||||
buf = IOBuffer()
|
||||
cbuf = IOContext(buf, :color => true)
|
||||
sps = wmax = 0
|
||||
re_col = r"\x1B\[[0-9;]*[a-zA-Z]"
|
||||
sps = 0
|
||||
for r in 1:nr
|
||||
lmax = 0
|
||||
for c in 1:nc
|
||||
@@ -198,27 +204,27 @@ function _show(io::IO, ::MIME"text/plain", plt::Plot{UnicodePlotsBackend})
|
||||
sp = plt.o[sps += 1]
|
||||
show(cbuf, sp)
|
||||
colored = String(take!(buf))
|
||||
uncolored = replace(colored, r"\x1B\[[0-9;]*[a-zA-Z]" => "")
|
||||
uncolored = replace(colored, re_col => "")
|
||||
lines_colored[r, c] = lc = split(colored, "\n")
|
||||
lines_uncolored[r, c] = lu = split(uncolored, "\n")
|
||||
lmax = max(length(lc), lmax)
|
||||
wmax = max(maximum(length.(lu)), wmax)
|
||||
w_max[c] = max(maximum(length.(lu)), w_max[c])
|
||||
end
|
||||
end
|
||||
end
|
||||
l_max[r] = lmax
|
||||
end
|
||||
empty = ' '^wmax
|
||||
empty = String[' '^w for w in w_max]
|
||||
for r in 1:nr
|
||||
for n in 1:l_max[r]
|
||||
for c in 1:nc
|
||||
pre = c == 1 ? '\0' : ' '
|
||||
lc = lines_colored[r, c]
|
||||
if lc === nothing || length(lc) < n
|
||||
print(io, pre, empty)
|
||||
print(io, pre, empty[c])
|
||||
else
|
||||
lu = lines_uncolored[r, c]
|
||||
print(io, pre, lc[n], ' '^(wmax - length(lu[n])))
|
||||
print(io, pre, lc[n], ' '^(w_max[c] - length(lu[n])))
|
||||
end
|
||||
end
|
||||
println(io)
|
||||
|
||||
+3
-3
@@ -5,7 +5,7 @@ process_clims(s::Union{Symbol,Nothing,Missing}) = ignorenan_extrema
|
||||
# don't specialize on ::Function otherwise python functions won't work
|
||||
process_clims(f) = f
|
||||
|
||||
function get_clims(sp::Subplot, op = process_clims(sp[:clims]))
|
||||
function get_clims(sp::Subplot, op = process_clims(sp[:clims]))::Tuple{Float64, Float64}
|
||||
zmin, zmax = Inf, -Inf
|
||||
for series in series_list(sp)
|
||||
if series[:colorbar_entry]
|
||||
@@ -15,7 +15,7 @@ function get_clims(sp::Subplot, op = process_clims(sp[:clims]))
|
||||
return zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
|
||||
end
|
||||
|
||||
function get_clims(sp::Subplot, series::Series, op = process_clims(sp[:clims]))
|
||||
function get_clims(sp::Subplot, series::Series, op = process_clims(sp[:clims]))::Tuple{Float64, Float64}
|
||||
zmin, zmax = if series[:colorbar_entry]
|
||||
get_clims(sp, op)
|
||||
else
|
||||
@@ -31,7 +31,7 @@ Finds the limits for the colorbar by taking the "z-values" for the series and pa
|
||||
which must return the tuple `(zmin, zmax)`. The default op is the extrema of the finite
|
||||
values of the input.
|
||||
"""
|
||||
function get_clims(series::Series, op = ignorenan_extrema)
|
||||
function get_clims(series::Series, op = ignorenan_extrema)::Tuple{Float64, Float64}
|
||||
zmin, zmax = Inf, -Inf
|
||||
z_colored_series = (:contour, :contour3d, :heatmap, :histogram2d, :surface, :hexbin)
|
||||
for vals in (
|
||||
|
||||
+7
-4
@@ -962,8 +962,10 @@ const _examples = PlotExample[
|
||||
"""
|
||||
Allows to plot arbitrary 3d meshes. If only x,y,z are given the mesh is generated automatically.
|
||||
You can also specify the connections using the connections keyword.
|
||||
The connections are specified using a tuple of vectors. Each vector contains the 0-based indices of one point of a triangle,
|
||||
such that elements at the same position of these vectors form a triangle.
|
||||
The connections can be specified in two ways: Either as a tuple of vectors where each vector
|
||||
contains the 0-based indices of one point of a triangle, such that elements at the same
|
||||
position of these vectors form a triangle. Or as a vector of NTuple{3,Ints} where each element
|
||||
contains the 1-based indices of the three points of a triangle.
|
||||
""",
|
||||
[
|
||||
:(
|
||||
@@ -979,13 +981,14 @@ const _examples = PlotExample[
|
||||
i = [0, 0, 0, 1]
|
||||
j = [1, 2, 3, 2]
|
||||
k = [2, 3, 1, 3]
|
||||
# Or: cns = [(1, 2, 3), (1, 3, 4), (1, 4, 2), (2, 3, 4)] (1-based indexing)
|
||||
|
||||
# the four triangles gives above give a tetrahedron
|
||||
mesh3d(
|
||||
x,
|
||||
y,
|
||||
z;
|
||||
connections = (i, j, k),
|
||||
connections = (i, j, k), # connections = cns
|
||||
title = "triangles",
|
||||
xlabel = "x",
|
||||
ylabel = "y",
|
||||
@@ -1235,7 +1238,7 @@ const _examples = PlotExample[
|
||||
_animation_examples = [2, 31]
|
||||
_backend_skips = Dict(
|
||||
:gr => [25, 30],
|
||||
:pyplot => [2, 25, 30, 31, 47, 49, 55],
|
||||
:pyplot => [2, 25, 30, 31, 49, 55],
|
||||
:plotlyjs => [2, 21, 24, 25, 30, 31, 49, 51, 55],
|
||||
:plotly => [2, 21, 24, 25, 30, 31, 49, 50, 51, 55],
|
||||
:pgfplotsx => [
|
||||
|
||||
@@ -7,10 +7,9 @@ ismultiversion = false
|
||||
@static if !should_precompile
|
||||
# nothing
|
||||
elseif !ismultios && !ismultiversion
|
||||
@static if isfile(joinpath(
|
||||
@__DIR__,
|
||||
"../deps/SnoopCompile/precompile/precompile_Plots.jl",
|
||||
))
|
||||
@static if isfile(
|
||||
joinpath(@__DIR__, "../deps/SnoopCompile/precompile/precompile_Plots.jl"),
|
||||
)
|
||||
include("../deps/SnoopCompile/precompile/precompile_Plots.jl")
|
||||
_precompile_()
|
||||
end
|
||||
|
||||
+34
-13
@@ -205,13 +205,14 @@ maketuple(x::Tuple{T,S}) where {T,S} = x
|
||||
for i in 2:4
|
||||
@eval begin
|
||||
RecipesPipeline.unzip(
|
||||
v::Union{AVec{<:NTuple{$i,T} where T},AVec{<:GeometryBasics.Point{$i}}},
|
||||
v::Union{AVec{<:NTuple{$i,T} where {T}},AVec{<:GeometryBasics.Point{$i}}},
|
||||
) = $(Expr(:tuple, (:([t[$j] for t in v]) for j in 1:i)...))
|
||||
end
|
||||
end
|
||||
|
||||
RecipesPipeline.unzip(::Union{AVec{<:GeometryBasics.Point{N}},AVec{<:NTuple{N,T} where T}}) where {N} =
|
||||
error("$N-dimensional unzip not implemented.")
|
||||
RecipesPipeline.unzip(
|
||||
::Union{AVec{<:GeometryBasics.Point{N}},AVec{<:NTuple{N,T} where {T}}},
|
||||
) where {N} = error("$N-dimensional unzip not implemented.")
|
||||
|
||||
RecipesPipeline.unzip(::Union{AVec{<:GeometryBasics.Point},AVec{<:Tuple}}) =
|
||||
error("Can't unzip points of different dimensions.")
|
||||
@@ -1180,16 +1181,12 @@ end
|
||||
_document_argument(S::AbstractString) =
|
||||
_fmt_paragraph("`$S`: " * _arg_desc[Symbol(S)], leadingspaces = 6 + length(S))
|
||||
|
||||
function mesh3d_triangles(x, y, z, cns)
|
||||
if typeof(cns) <: Tuple{Array,Array,Array}
|
||||
ci, cj, ck = cns
|
||||
if !(length(ci) == length(cj) == length(ck))
|
||||
throw(
|
||||
ArgumentError("Argument connections must consist of equally sized arrays."),
|
||||
)
|
||||
end
|
||||
else
|
||||
throw(ArgumentError("Argument connections has to be a tuple of three arrays."))
|
||||
function mesh3d_triangles(x, y, z, cns::Tuple{Array,Array,Array})
|
||||
ci, cj, ck = cns
|
||||
if !(length(ci) == length(cj) == length(ck))
|
||||
throw(
|
||||
ArgumentError("Argument connections must consist of equally sized arrays."),
|
||||
)
|
||||
end
|
||||
X = zeros(eltype(x), 4length(ci))
|
||||
Y = zeros(eltype(y), 4length(cj))
|
||||
@@ -1214,6 +1211,30 @@ function mesh3d_triangles(x, y, z, cns)
|
||||
end
|
||||
return X, Y, Z
|
||||
end
|
||||
function mesh3d_triangles(x, y, z, cns::AbstractVector{NTuple{3, Int}})
|
||||
X = zeros(eltype(x), 4length(cns))
|
||||
Y = zeros(eltype(y), 4length(cns))
|
||||
Z = zeros(eltype(z), 4length(cns))
|
||||
@inbounds for I in 1:length(cns)
|
||||
i = cns[I][1] # connections are 1-based
|
||||
j = cns[I][2]
|
||||
k = cns[I][3]
|
||||
m = 4(I - 1) + 1
|
||||
n = m + 1
|
||||
o = m + 2
|
||||
p = m + 3
|
||||
X[m] = X[p] = x[i]
|
||||
Y[m] = Y[p] = y[i]
|
||||
Z[m] = Z[p] = z[i]
|
||||
X[n] = x[j]
|
||||
Y[n] = y[j]
|
||||
Z[n] = z[j]
|
||||
X[o] = x[k]
|
||||
Y[o] = y[k]
|
||||
Z[o] = z[k]
|
||||
end
|
||||
return X, Y, Z
|
||||
end
|
||||
|
||||
# cache joined symbols so they can be looked up instead of constructed each time
|
||||
const _attrsymbolcache = Dict{Symbol,Dict{Symbol,Symbol}}()
|
||||
|
||||
+81
-78
@@ -1,18 +1,20 @@
|
||||
using Plots: guidefont, series_annotations, PLOTS_SEED
|
||||
import ImageMagick
|
||||
|
||||
using VisualRegressionTests
|
||||
using Plots
|
||||
using Random
|
||||
using StableRNGs
|
||||
using Test
|
||||
using TestImages
|
||||
using FileIO
|
||||
using Gtk
|
||||
using LibGit2
|
||||
import GeometryBasics
|
||||
using Dates
|
||||
using RecipesBase
|
||||
using StableRNGs
|
||||
using TestImages
|
||||
using LibGit2
|
||||
using Random
|
||||
using FileIO
|
||||
using Plots
|
||||
using Dates
|
||||
using JSON
|
||||
using Test
|
||||
using Gtk
|
||||
|
||||
import GeometryBasics
|
||||
import ImageMagick
|
||||
|
||||
@testset "Infrastructure" begin
|
||||
@test_nowarn JSON.Parser.parse(
|
||||
@@ -33,7 +35,7 @@ end
|
||||
end
|
||||
Plots.plotly_local_file_path[] = nothing
|
||||
Plots.use_local_dependencies[] = temp
|
||||
end # testset
|
||||
end
|
||||
|
||||
include("test_defaults.jl")
|
||||
include("test_pipeline.jl")
|
||||
@@ -55,7 +57,6 @@ function reference_file(backend, i, version)
|
||||
refdir = reference_dir("Plots", string(backend))
|
||||
fn = "ref$i.png"
|
||||
versions = sort(VersionNumber.(readdir(refdir)), rev = true)
|
||||
|
||||
reffn = joinpath(refdir, string(version), fn)
|
||||
for v in versions
|
||||
tmpfn = joinpath(refdir, string(v), fn)
|
||||
@@ -64,7 +65,6 @@ function reference_file(backend, i, version)
|
||||
break
|
||||
end
|
||||
end
|
||||
|
||||
return reffn
|
||||
end
|
||||
|
||||
@@ -79,9 +79,10 @@ if !isdir(reference_dir())
|
||||
end
|
||||
|
||||
include("imgcomp.jl")
|
||||
# don't actually show the plots
|
||||
Random.seed!(PLOTS_SEED)
|
||||
default(show = false, reuse = true)
|
||||
|
||||
default(show = false, reuse = true) # don't actually show the plots
|
||||
|
||||
is_ci() = get(ENV, "CI", "false") == "true"
|
||||
const PLOTS_IMG_TOL = parse(Float64, get(ENV, "PLOTS_IMG_TOL", is_ci() ? "1e-4" : "1e-5"))
|
||||
|
||||
@@ -106,66 +107,8 @@ const PLOTS_IMG_TOL = parse(Float64, get(ENV, "PLOTS_IMG_TOL", is_ci() ? "1e-4"
|
||||
# image_comparison_facts(:pgfplotsx, tol=PLOTS_IMG_TOL, skip = Plots._backend_skips[:pgfplotsx])
|
||||
# end
|
||||
|
||||
# 10 Histogram2D
|
||||
|
||||
##
|
||||
|
||||
@testset "Backends" begin
|
||||
@testset "GR" begin
|
||||
ENV["PLOTS_TEST"] = "true"
|
||||
ENV["GKSwstype"] = "100"
|
||||
@test gr() == Plots.GRBackend()
|
||||
@test backend() == Plots.GRBackend()
|
||||
|
||||
@static if haskey(ENV, "APPVEYOR")
|
||||
@info "Skipping GR image comparison tests on AppVeyor"
|
||||
else
|
||||
image_comparison_facts(
|
||||
:gr,
|
||||
tol = PLOTS_IMG_TOL,
|
||||
skip = Plots._backend_skips[:gr],
|
||||
)
|
||||
end
|
||||
end
|
||||
|
||||
@testset "UnicodePlots" begin
|
||||
@test unicodeplots() == Plots.UnicodePlotsBackend()
|
||||
@test backend() == Plots.UnicodePlotsBackend()
|
||||
|
||||
# lets just make sure it runs without error
|
||||
p = plot(rand(10))
|
||||
@test isa(p, Plots.Plot) == true
|
||||
@test isa(display(p), Nothing) == true
|
||||
p = bar(randn(10))
|
||||
@test isa(p, Plots.Plot) == true
|
||||
@test isa(display(p), Nothing) == true
|
||||
p = plot([1, 2], [3, 4])
|
||||
annotate!(p, [(1.5, 3.2, Plots.text("Test", :red, :center))])
|
||||
hline!(p, [3.1])
|
||||
@test isa(p, Plots.Plot) == true
|
||||
@test isa(display(p), Nothing) == true
|
||||
p = plot([Dates.Date(2019, 1, 1), Dates.Date(2019, 2, 1)], [3, 4])
|
||||
hline!(p, [3.1])
|
||||
annotate!(p, [(Dates.Date(2019, 1, 15), 3.2, Plots.text("Test", :red, :center))])
|
||||
@test isa(p, Plots.Plot) == true
|
||||
@test isa(display(p), Nothing) == true
|
||||
p = plot([Dates.Date(2019, 1, 1), Dates.Date(2019, 2, 1)], [3, 4])
|
||||
annotate!(p, [(Dates.Date(2019, 1, 15), 3.2, :auto)])
|
||||
hline!(p, [3.1])
|
||||
@test isa(p, Plots.Plot) == true
|
||||
@test isa(display(p), Nothing) == true
|
||||
end
|
||||
|
||||
@testset "PlotlyJS" begin
|
||||
@test plotlyjs() == Plots.PlotlyJSBackend()
|
||||
@test backend() == Plots.PlotlyJSBackend()
|
||||
|
||||
p = plot(rand(10))
|
||||
@test isa(p, Plots.Plot) == true
|
||||
@test_broken isa(display(p), Nothing) == true
|
||||
end
|
||||
end
|
||||
|
||||
@testset "Axes" begin
|
||||
p = plot()
|
||||
axis = p.subplots[1][:xaxis]
|
||||
@@ -181,10 +124,12 @@ end
|
||||
end
|
||||
|
||||
@testset "NoFail" begin
|
||||
#ensure backend with tested display
|
||||
# ensure backend with tested display
|
||||
@test unicodeplots() == Plots.UnicodePlotsBackend()
|
||||
@test backend() == Plots.UnicodePlotsBackend()
|
||||
|
||||
dsp = TextDisplay(IOContext(IOBuffer(), :color => true))
|
||||
|
||||
@testset "Plot" begin
|
||||
plots = [
|
||||
histogram([1, 0, 0, 0, 0, 0]),
|
||||
@@ -197,15 +142,15 @@ end
|
||||
plot(["a" "b"; missing "d"], [1 2; 3 4]),
|
||||
]
|
||||
for plt in plots
|
||||
display(plt)
|
||||
display(dsp, plt)
|
||||
end
|
||||
@test_nowarn plot(x -> x^2, 0, 2)
|
||||
end
|
||||
|
||||
@testset "Bar" begin
|
||||
p = bar([3, 2, 1], [1, 2, 3])
|
||||
@test isa(p, Plots.Plot)
|
||||
@test isa(display(p), Nothing) == true
|
||||
@test p isa Plots.Plot
|
||||
@test display(dsp, p) isa Nothing
|
||||
end
|
||||
end
|
||||
|
||||
@@ -255,3 +200,61 @@ end
|
||||
Plots.process_clims(missing) ==
|
||||
Plots.process_clims(:auto)
|
||||
end
|
||||
|
||||
@testset "Backends" begin
|
||||
@testset "UnicodePlots" begin
|
||||
@test unicodeplots() == Plots.UnicodePlotsBackend()
|
||||
@test backend() == Plots.UnicodePlotsBackend()
|
||||
|
||||
io = IOContext(IOBuffer(), :color => true)
|
||||
|
||||
# lets just make sure it runs without error
|
||||
p = plot(rand(10))
|
||||
@test p isa Plots.Plot
|
||||
@test show(io, p) isa Nothing
|
||||
p = bar(randn(10))
|
||||
@test p isa Plots.Plot
|
||||
@test show(io, p) isa Nothing
|
||||
p = plot([1, 2], [3, 4])
|
||||
annotate!(p, [(1.5, 3.2, Plots.text("Test", :red, :center))])
|
||||
hline!(p, [3.1])
|
||||
@test p isa Plots.Plot
|
||||
@test show(io, p) isa Nothing
|
||||
p = plot([Dates.Date(2019, 1, 1), Dates.Date(2019, 2, 1)], [3, 4])
|
||||
hline!(p, [3.1])
|
||||
annotate!(p, [(Dates.Date(2019, 1, 15), 3.2, Plots.text("Test", :red, :center))])
|
||||
@test p isa Plots.Plot
|
||||
@test show(io, p) isa Nothing
|
||||
p = plot([Dates.Date(2019, 1, 1), Dates.Date(2019, 2, 1)], [3, 4])
|
||||
annotate!(p, [(Dates.Date(2019, 1, 15), 3.2, :auto)])
|
||||
hline!(p, [3.1])
|
||||
@test p isa Plots.Plot
|
||||
@test show(io, p) isa Nothing
|
||||
end
|
||||
|
||||
@testset "PlotlyJS" begin
|
||||
@test plotlyjs() == Plots.PlotlyJSBackend()
|
||||
@test backend() == Plots.PlotlyJSBackend()
|
||||
|
||||
p = plot(rand(10))
|
||||
@test p isa Plots.Plot
|
||||
@test_broken display(p) isa Nothing
|
||||
end
|
||||
|
||||
@testset "GR" begin
|
||||
ENV["PLOTS_TEST"] = "true"
|
||||
ENV["GKSwstype"] = "100"
|
||||
@test gr() == Plots.GRBackend()
|
||||
@test backend() == Plots.GRBackend()
|
||||
|
||||
@static if haskey(ENV, "APPVEYOR")
|
||||
@info "Skipping GR image comparison tests on AppVeyor"
|
||||
else
|
||||
image_comparison_facts(
|
||||
:gr,
|
||||
tol = PLOTS_IMG_TOL,
|
||||
skip = Plots._backend_skips[:gr],
|
||||
)
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
+38
-9
@@ -64,7 +64,7 @@ end
|
||||
@test twpl[:bottom_margin] == 2Plots.cm
|
||||
end
|
||||
|
||||
@testset "aliases" begin
|
||||
@testset "axis-aliases" begin
|
||||
p = plot(1:2, xl = "x label")
|
||||
@test p[1][:xaxis][:guide] === "x label"
|
||||
p = plot(1:2, xrange = (0, 3))
|
||||
@@ -73,18 +73,47 @@ end
|
||||
@test p[1][:xaxis][:ticks] == [1.25, 1.5, 1.75]
|
||||
p = plot(1:2, xlabelfontsize = 4)
|
||||
@test p[1][:xaxis][:guidefontsize] == 4
|
||||
p = plot(1:2, xgα = .07)
|
||||
@test p[1][:xaxis][:gridalpha] ≈ .07
|
||||
p = plot(1:2, xgα = 0.07)
|
||||
@test p[1][:xaxis][:gridalpha] ≈ 0.07
|
||||
p = plot(1:2, xgridls = :dashdot)
|
||||
@test p[1][:xaxis][:gridstyle] === :dashdot
|
||||
p = plot(1:2, xgridcolor = :red)
|
||||
@test p[1][:xaxis][:foreground_color_grid] === RGBA{Float64}(1.,0.,0.,1.)
|
||||
@test p[1][:xaxis][:foreground_color_grid] === RGBA{Float64}(1.0, 0.0, 0.0, 1.0)
|
||||
p = plot(1:2, xminorgridcolor = :red)
|
||||
@test p[1][:xaxis][:foreground_color_minor_grid] === RGBA{Float64}(1.,0.,0.,1.)
|
||||
p = plot(1:2, xgrid_lw = .01)
|
||||
@test p[1][:xaxis][:gridlinewidth] ≈ .01
|
||||
p = plot(1:2, xminorgrid_lw = .01)
|
||||
@test p[1][:xaxis][:minorgridlinewidth] ≈ .01
|
||||
@test p[1][:xaxis][:foreground_color_minor_grid] === RGBA{Float64}(1.0, 0.0, 0.0, 1.0)
|
||||
p = plot(1:2, xgrid_lw = 0.01)
|
||||
@test p[1][:xaxis][:gridlinewidth] ≈ 0.01
|
||||
p = plot(1:2, xminorgrid_lw = 0.01)
|
||||
@test p[1][:xaxis][:minorgridlinewidth] ≈ 0.01
|
||||
p = plot(1:2, xtickor = :out)
|
||||
@test p[1][:xaxis][:tick_direction] === :out
|
||||
end
|
||||
|
||||
@testset "aliases" begin
|
||||
compare(p::Plots.Plot, s::Symbol, val, op) =
|
||||
op(p[1][:xaxis][s], val) && op(p[1][:yaxis][s], val) && op(p[1][:zaxis][s], val)
|
||||
p = plot(1:2, guide = "all labels")
|
||||
@test compare(p, :guide, "all labels", ===)
|
||||
p = plot(1:2, label = "test")
|
||||
@test compare(p, :guide, "", ===)
|
||||
p = plot(1:2, lim = (0, 3))
|
||||
@test xlims(p) === ylims(p) === zlims(p) === (0, 3)
|
||||
p = plot(1:2, tick = [1.25, 1.5, 1.75])
|
||||
@test compare(p, :ticks, [1.25, 1.5, 1.75], ==)
|
||||
p = plot(1:2, labelfontsize = 4)
|
||||
@test compare(p, :guidefontsize, 4, ==)
|
||||
p = plot(1:2, gα = 0.07)
|
||||
@test compare(p, :gridalpha, 0.07, ≈)
|
||||
p = plot(1:2, gridls = :dashdot)
|
||||
@test compare(p, :gridstyle, :dashdot, ===)
|
||||
p = plot(1:2, gridcolor = :red)
|
||||
@test compare(p, :foreground_color_grid, RGBA{Float64}(1.0, 0.0, 0.0, 1.0), ===)
|
||||
p = plot(1:2, minorgridcolor = :red)
|
||||
@test compare(p, :foreground_color_minor_grid, RGBA{Float64}(1.0, 0.0, 0.0, 1.0), ===)
|
||||
p = plot(1:2, grid_lw = 0.01)
|
||||
@test compare(p, :gridlinewidth, 0.01, ≈)
|
||||
p = plot(1:2, minorgrid_lw = 0.01)
|
||||
@test compare(p, :minorgridlinewidth, 0.01, ≈)
|
||||
p = plot(1:2, tickor = :out)
|
||||
@test compare(p, :tick_direction, :out, ===)
|
||||
end
|
||||
|
||||
Reference in New Issue
Block a user