plotlyjs supported_scales; violin check
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@ -5,6 +5,7 @@ supported_args(::PlotlyJSBackend) = supported_args(PlotlyBackend())
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supported_types(::PlotlyJSBackend) = supported_types(PlotlyBackend())
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supported_styles(::PlotlyJSBackend) = supported_styles(PlotlyBackend())
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supported_markers(::PlotlyJSBackend) = supported_markers(PlotlyBackend())
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supported_scales(::PlotlyJSBackend) = supported_scales(PlotlyBackend())
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is_subplot_supported(::PlotlyJSBackend) = true
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is_string_supported(::PlotlyJSBackend) = true
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@ -714,18 +714,17 @@ end
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# function apply_series_recipe(d::KW, ::Type{Val{:violin}})
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@recipe function f(::Type{Val{:violin}}, x, y, z; trim=true)
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# dumpdict(d, "box before", true)
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# TODO: add scatter series with outliers
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delete!(d, :trim)
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# create a list of shapes, where each shape is a single boxplot
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shapes = Shape[]
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groupby = extractGroupArgs(d[:x])
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groupby = extractGroupArgs(x)
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for (i, glabel) in enumerate(groupby.groupLabels)
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# get the edges and widths
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y = d[:y][groupby.groupIds[i]]
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widths, centers = violin_coords(y, trim=trim)
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isempty(widths) && continue
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# normalize
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widths = _box_halfwidth * widths / maximum(widths)
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@ -737,14 +736,7 @@ end
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push!(shapes, Shape(xcoords, ycoords))
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end
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# d[:plotarg_overrides] = KW(:xticks => (1:length(shapes), groupby.groupLabels))
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seriestype := :shape
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# n = length(groupby.groupLabels)
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# xticks --> (linspace(0.5,n-0.5,n), groupby.groupLabels)
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# clean up d
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pop!(d, :trim)
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d[:x], d[:y] = shape_coords(shapes)
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()
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end
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