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Hi,
I've got some results that are a mixture of measurements and missing data (type Vector{Union{Missing, Measurement{Float64}}}
). However, I get a MethodError
if I try to plot these:
plot([1±.1, 2±.3, missing, 4±.05])
MethodError: no method matching Float64(::Measurements.Measurement{Float64})
Closest candidates are:
(::Type{T})(::Real, !Matched::RoundingMode) where T<:AbstractFloat
@ Base rounding.jl:207
(::Type{T})(::T) where T<:Number
@ Core boot.jl:792
(::Type{T})(!Matched::AbstractChar) where T<:Union{AbstractChar, Number}
@ Base char.jl:50
...
convert(::Type{Float64}, ::Measurements.Measurement{Float64})@number.jl:7
setproperty!(::Plots.Extrema, ::Symbol, ::Measurements.Measurement{Float64})@Base.jl:38
expand_extrema!@axes.jl:425[inlined]
#113@axes.jl:444[inlined]
foreach(::Plots.var"#113#114"{Plots.Extrema}, ::Vector{Measurements.Measurement{Float64}})@abstractarray.jl:3073
expand_extrema!(::Plots.Axis, ::Vector{Measurements.Measurement{Float64}})@axes.jl:444
expand_extrema!(::Plots.Subplot{Plots.GRBackend}, ::RecipesPipeline.DefaultsDict)@axes.jl:479
_expand_subplot_extrema(::Plots.Subplot{Plots.GRBackend}, ::RecipesPipeline.DefaultsDict, ::Symbol)@pipeline.jl:433
add_series!(::Plots.Plot{Plots.GRBackend}, ::RecipesPipeline.DefaultsDict)@pipeline.jl:376
_process_seriesrecipe(::Any, ::Any)@series_recipe.jl:46
_process_seriesrecipes!(::Any, ::Any)@series_recipe.jl:27
recipe_pipeline!(::Any, ::Any, ::Any)@RecipesPipeline.jl:99
_plot!(::Plots.Plot, ::Any, ::Any)@plot.jl:223
#plot#188@plot.jl:102[inlined]
plot@plot.jl:93[inlined]
Not sure if this is best raised here or with Plots!
Best,
Chris
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