reconfigured to free up clims property
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@ -5,36 +5,36 @@ process_clims(s::Union{Symbol,Nothing,Missing}) = ignorenan_extrema
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# don't specialize on ::Function otherwise python functions won't work
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process_clims(f) = f
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get_clims(sp::Subplot)::Tuple{Float64, Float64} = sp[:crange]
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get_clims(series::Series)::Tuple{Float64, Float64} = series[:crange]
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function get_clims(sp::Subplot, series::Series)::Tuple{Float64, Float64} =
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series[:colorbar_entry] ?
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sp[:crange] :
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series[:crange]
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function update_clims(sp::Subplot, op = process_clims(sp[:clims]))::Tuple{Float64, Float64}
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zmin, zmax = Inf, -Inf
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for series in series_list(sp)
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if series[:colorbar_entry]
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zmin, zmax = _update_clims(zmin, zmax, get_clims(series, op)...)
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zmin, zmax = _update_clims(zmin, zmax, update_clims(series, op)...)
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else
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update_clims(series, op)
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end
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end
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sp[:clims] = zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
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end
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get_clims(sp::Subplot, op = nothing)::Tuple{Float64, Float64} = sp[:clims]
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function get_clims(sp::Subplot, series::Series, op = process_clims(sp[:clims]))::Tuple{Float64, Float64}
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zmin, zmax = if series[:colorbar_entry]
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sp[:clims]
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else
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get_clims(series, op)
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end
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return zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
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return sp[:crange] = zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
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end
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"""
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get_clims(::Series, op=Plots.ignorenan_extrema)
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update_clims(::Series, op=Plots.ignorenan_extrema)
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Finds the limits for the colorbar by taking the "z-values" for the series and passing them into `op`,
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which must return the tuple `(zmin, zmax)`. The default op is the extrema of the finite
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values of the input.
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which must return the tuple `(zmin, zmax)`. The value is stored as a series property, which is
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retrieved by `get_clims`.
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"""
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function get_clims(series::Series, op = ignorenan_extrema)::Tuple{Float64, Float64}
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function update_clims(series::Series, op = ignorenan_extrema)::Tuple{Float64, Float64}
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println(" series")
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zmin, zmax = Inf, -Inf
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z_colored_series = (:contour, :contour3d, :heatmap, :histogram2d, :surface, :hexbin)
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for vals in (
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@ -49,7 +49,7 @@ function get_clims(series::Series, op = ignorenan_extrema)::Tuple{Float64, Float
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zmin, zmax = _update_clims(zmin, zmax, op(vals)...)
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end
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end
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return zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
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return series[:crange] = zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
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end
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_update_clims(zmin, zmax, emin, emax) = NaNMath.min(zmin, emin), NaNMath.max(zmax, emax)
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