# These functions return an operator for use in `get_clims(::Seres, op)` process_clims(lims::Tuple{<:Number,<:Number}) = (zlims -> ifelse.(isfinite.(lims), lims, zlims)) ∘ ignorenan_extrema process_clims(s::Union{Symbol,Nothing,Missing}) = ignorenan_extrema # don't specialize on ::Function otherwise python functions won't work process_clims(f) = f get_clims(sp::Subplot)::Tuple{Float64,Float64} = haskey(sp.attr, :clims_calculated) ? sp[:clims_calculated] : update_clims(sp) get_clims(series::Series)::Tuple{Float64,Float64} = haskey(series.plotattributes, :clims_calculated) ? series[:clims_calculated]::Tuple{Float64,Float64} : update_clims(series) get_clims(sp::Subplot, series::Series)::Tuple{Float64,Float64} = series[:colorbar_entry] ? get_clims(sp) : get_clims(series) function update_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]::Bool zmin, zmax = _update_clims(zmin, zmax, update_clims(series, op)...) else update_clims(series, op) end end return sp[:clims_calculated] = zmin <= zmax ? (zmin, zmax) : (NaN, NaN) end """ update_clims(::Series, op=Plots.ignorenan_extrema) Finds the limits for the colorbar by taking the "z-values" for the series and passing them into `op`, which must return the tuple `(zmin, zmax)`. The default op is the extrema of the finite values of the input. The value is stored as a series property, which is retrieved by `get_clims`. """ function update_clims(series::Series, op = ignorenan_extrema)::Tuple{Float64,Float64} zmin, zmax = Inf, -Inf # keeping this unrolled has higher performance if series[:seriestype] ∈ _z_colored_series && series[:z] !== nothing zmin, zmax = update_clims(zmin, zmax, series[:z], op) end if series[:line_z] !== nothing zmin, zmax = update_clims(zmin, zmax, series[:line_z], op) end if series[:marker_z] !== nothing zmin, zmax = update_clims(zmin, zmax, series[:marker_z], op) end if series[:fill_z] !== nothing zmin, zmax = update_clims(zmin, zmax, series[:fill_z], op) end return series[:clims_calculated] = zmin <= zmax ? (zmin, zmax) : (NaN, NaN) end update_clims(zmin, zmax, vals::AbstractSurface, op)::Tuple{Float64,Float64} = update_clims(zmin, zmax, vals.surf, op) update_clims(zmin, zmax, vals::Any, op)::Tuple{Float64,Float64} = _update_clims(zmin, zmax, op(vals)...) update_clims(zmin, zmax, ::Nothing, ::Any)::Tuple{Float64,Float64} = zmin, zmax _update_clims(zmin, zmax, emin, emax) = NaNMath.min(zmin, emin), NaNMath.max(zmax, emax) @enum ColorbarStyle cbar_gradient cbar_fill cbar_lines function colorbar_style(series::Series) colorbar_entry = series[:colorbar_entry] if !(colorbar_entry isa Bool) @warn "Non-boolean colorbar_entry ignored." colorbar_entry = true end if !colorbar_entry nothing elseif isfilledcontour(series) cbar_fill elseif iscontour(series) cbar_lines elseif series[:seriestype] ∈ (:heatmap, :surface) || any(series[z] !== nothing for z in [:marker_z, :line_z, :fill_z]) cbar_gradient else nothing end end hascolorbar(series::Series) = colorbar_style(series) !== nothing hascolorbar(sp::Subplot) = sp[:colorbar] != :none && any(hascolorbar(s) for s in series_list(sp)) function get_colorbar_ticks(sp::Subplot; update = true) if update || !haskey(sp.attr, :colorbar_optimized_ticks) ticks = _transform_ticks(sp[:colorbar_ticks]) cvals = sp[:colorbar_continuous_values] dvals = sp[:colorbar_discrete_values] clims = get_clims(sp) scale = sp[:colorbar_scale] formatter = sp[:colorbar_formatter] sp.attr[:colorbar_optimized_ticks] = get_ticks(ticks, cvals, dvals, clims, scale, formatter) end return sp.attr[:colorbar_optimized_ticks] end function _update_subplot_colorbars(sp::Subplot) # Dynamic callback from the pipeline if needed update_clims(sp) end