fixed dataframes loading; added dataframes to tests; started atom integration
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@ -239,6 +239,9 @@ function __init__()
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@eval import IJulia
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IJulia.display_dict(plt::AbstractPlot) = Dict{ASCIIString, ByteString}("text/html" => sprint(writemime, "text/html", plt))
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end
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setup_dataframes()
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setup_atom()
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end
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# ---------------------------------------------------------
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@ -79,7 +79,7 @@ function addExtension(fn::@compat(AbstractString), ext::@compat(AbstractString))
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end
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function savefig(plt::AbstractPlot, fn::@compat(AbstractString))
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# get the extension
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local ext
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try
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@ -117,3 +117,25 @@ Base.display(::Base.REPL.REPLDisplay, ::MIME"text/plain", plt::AbstractPlot) = g
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function Base.writemime(io::IO, ::MIME"text/html", plt::AbstractPlot)
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writemime(io, MIME("image/svg+xml"), plt)
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end
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# ---------------------------------------------------------
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# Atom PlotPane
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# ---------------------------------------------------------
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function setup_atom()
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# @require Atom begin
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# @eval begin
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# import Atom
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#
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# Atom.displaysize(::AbstractPlot) = (535, 379)
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# Atom.displaytitle(::AbstractPlot) = "Plots.jl"
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#
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# Atom.@render Atom.PlotPane p::Plot begin
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# x, y = Atom.@rpc Atom.plotsize()
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# plot!(p, size=(x,y)) # changes the size of the Plots.Plot
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# Atom.div(Dict(:style=>"background: white"), Atom.HTML(stringmime("text/html", p)))
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# end
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# end
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# end
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end
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54
src/plot.jl
54
src/plot.jl
@ -531,39 +531,33 @@ end
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# For DataFrame support. Imports DataFrames and defines the necessary methods which support them.
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@require DataFrames begin
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function setup_dataframes()
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@require DataFrames begin
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function createKWargsList(plt::AbstractPlot, df::DataFrames.AbstractDataFrame, args...; kw...)
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createKWargsList(plt, args...; kw..., dataframe = df)
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end
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function createKWargsList(plt::AbstractPlot, df::DataFrames.AbstractDataFrame, args...; kw...)
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createKWargsList(plt, args...; kw..., dataframe = df)
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end
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# expecting the column name of a dataframe that was passed in... anything else should error
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function extractGroupArgs(s::Symbol, df::DataFrames.AbstractDataFrame, args...)
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if haskey(df, s)
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return extractGroupArgs(df[s])
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else
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error("Got a symbol, and expected that to be a key in d[:dataframe]. s=$s d=$d")
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end
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end
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function getDataFrameFromKW(d::Dict)
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get(d, :dataframe) do
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error("Missing dataframe argument!")
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end
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end
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# the conversion functions for when we pass symbols or vectors of symbols to reference dataframes
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convertToAnyVector(s::Symbol, d::Dict) = Any[getDataFrameFromKW(d)[s]], s
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convertToAnyVector(v::AVec{Symbol}, d::Dict) = (df = getDataFrameFromKW(d); Any[df[s] for s in v]), v
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# expecting the column name of a dataframe that was passed in... anything else should error
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function extractGroupArgs(s::Symbol, df::DataFrames.AbstractDataFrame, args...)
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if haskey(df, s)
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return extractGroupArgs(df[s])
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else
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error("Got a symbol, and expected that to be a key in d[:dataframe]. s=$s d=$d")
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end
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end
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function getDataFrameFromKW(d::Dict)
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# for (k,v) in kw
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# if k == :dataframe
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# return v
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# end
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# end
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get(d, :dataframe) do
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error("Missing dataframe argument!")
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end
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end
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# the conversion functions for when we pass symbols or vectors of symbols to reference dataframes
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# convertToAnyVector(s::Symbol; kw...) = Any[getDataFrameFromKW(;kw...)[s]], s
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# convertToAnyVector(v::AVec{Symbol}; kw...) = (df = getDataFrameFromKW(;kw...); Any[df[s] for s in v]), v
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convertToAnyVector(s::Symbol, d::Dict) = Any[getDataFrameFromKW(d)[s]], s
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convertToAnyVector(v::AVec{Symbol}, d::Dict) = (df = getDataFrameFromKW(d); Any[df[s] for s in v]), v
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end
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# --------------------------------------------------------------------
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@ -10,3 +10,5 @@ ImageMagick
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PyPlot
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@osx QuartzImageIO
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GR
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DataFrames
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RDatasets
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@ -2,6 +2,8 @@
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using VisualRegressionTests
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using ExamplePlots
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import DataFrames, RDatasets
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# don't let pyplot use a gui... it'll crash
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# note: Agg will set gui -> :none in PyPlot
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ENV["MPLBACKEND"] = "Agg"
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@ -16,12 +18,12 @@ using Plots, FactCheck
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default(size=(500,300))
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# TODO: use julia's Condition type and the wait() and notify() functions to initialize a Window, then wait() on a condition that
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# TODO: use julia's Condition type and the wait() and notify() functions to initialize a Window, then wait() on a condition that
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# is referenced in a button press callback (the button clicked callback will call notify() on that condition)
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function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = isinteractive(), sigma = [1,1], eps = 1e-2)
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# first
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# first
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Plots._debugMode.on = debug
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example = ExamplePlots._examples[idx]
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info("Testing plot: $pkg:$idx:$(example.header)")
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