Plots.jl/test/runtests.jl
Michael K. Borregaard 12488bf2b0 Drop tests for pyplot (temporarily)
revisit 12 oct
2017-10-05 13:24:21 +02:00

176 lines
4.6 KiB
Julia

module PlotsTests
include("imgcomp.jl")
# don't actually show the plots
srand(1234)
default(show=false, reuse=true)
img_eps = isinteractive() ? 1e-2 : 10e-2
@testset "GR" begin
ENV["GKSwstype"] = "100"
@test gr() == Plots.GRBackend()
@test backend() == Plots.GRBackend()
image_comparison_facts(:gr, eps=img_eps)
end
#@testset "PyPlot" begin
# @test pyplot() == Plots.PyPlotBackend()
# @test backend() == Plots.PyPlotBackend()
#
# image_comparison_facts(:pyplot, eps=img_eps)
#end
@testset "UnicodePlots" begin
@test unicodeplots() == Plots.UnicodePlotsBackend()
@test backend() == Plots.UnicodePlotsBackend()
# lets just make sure it runs without error
@test isa(plot(rand(10)), Plots.Plot) == true
end
# The plotlyjs testimages return a connection error on travis:
# connect: connection refused (ECONNREFUSED)
# @testset "PlotlyJS" begin
# @test plotlyjs() == Plots.PlotlyJSBackend()
# @test backend() == Plots.PlotlyJSBackend()
#
# if is_linux() && isinteractive()
# image_comparison_facts(:plotlyjs,
# skip=[
# 2, # animation (skipped for speed)
# 27, # (polar plots) takes very long / not working
# 31, # animation (skipped for speed)
# ],
# eps=img_eps)
# end
# end
# InspectDR returns that error on travis:
# ERROR: LoadError: InitError: Cannot open display:
# in Gtk.GLib.GError(::Gtk.##229#230) at /home/travis/.julia/v0.5/Gtk/src/GLib/gerror.jl:17
# @testset "InspectDR" begin
# @test inspectdr() == Plots.InspectDRBackend()
# @test backend() == Plots.InspectDRBackend()
#
# image_comparison_facts(:inspectdr,
# skip=[
# 2, # animation
# 6, # heatmap not defined
# 10, # heatmap not defined
# 22, # contour not defined
# 23, # pie not defined
# 27, # polar plot not working
# 28, # heatmap not defined
# 31, # animation
# ],
# eps=img_eps)
# end
# @testset "Plotly" begin
# @test plotly() == Plots.PlotlyBackend()
# @test backend() == Plots.PlotlyBackend()
#
# # # until png generation is reliable on OSX, just test on linux
# # @static is_linux() && image_comparison_facts(:plotly, only=[1,3,4,7,8,9,10,11,12,14,15,20,22,23,27], eps=img_eps)
# end
# @testset "Immerse" begin
# @test immerse() == Plots.ImmerseBackend()
# @test backend() == Plots.ImmerseBackend()
#
# # as long as we can plot anything without error, it should be the same as Gadfly
# image_comparison_facts(:immerse, only=[1], eps=img_eps)
# end
# @testset "PlotlyJS" begin
# @test plotlyjs() == Plots.PlotlyJSBackend()
# @test backend() == Plots.PlotlyJSBackend()
#
# # as long as we can plot anything without error, it should be the same as Plotly
# image_comparison_facts(:plotlyjs, only=[1], eps=img_eps)
# end
# @testset "Gadfly" begin
# @test gadfly() == Plots.GadflyBackend()
# @test backend() == Plots.GadflyBackend()
#
# @test typeof(plot(1:10)) == Plots.Plot{Plots.GadflyBackend}
# @test plot(Int[1,2,3], rand(3)) == not(nothing)
# @test plot(sort(rand(10)), rand(Int, 10, 3)) == not(nothing)
# @test plot!(rand(10,3), rand(10,3)) == not(nothing)
#
# image_comparison_facts(:gadfly, skip=[4,6,23,24,27], eps=img_eps)
# end
@testset "Axes" begin
p = plot()
axis = p.subplots[1][:xaxis]
@test typeof(axis) == Plots.Axis
@test Plots.discrete_value!(axis, "HI") == (0.5, 1)
@test Plots.discrete_value!(axis, :yo) == (1.5, 2)
@test Plots.ignorenan_extrema(axis) == (0.5,1.5)
@test axis[:discrete_map] == Dict{Any,Any}(:yo => 2, "HI" => 1)
Plots.discrete_value!(axis, ["x$i" for i=1:5])
Plots.discrete_value!(axis, ["x$i" for i=0:2])
@test Plots.ignorenan_extrema(axis) == (0.5, 7.5)
end
@testset "NoFail" begin
histogram([1, 0, 0, 0, 0, 0])
end
# tests for preprocessing recipes
# @testset "recipes" begin
# user recipe
# type T end
# @recipe function f(::T)
# line := (3,0.3,:red)
# marker := (20,0.5,:blue,:o)
# bg := :yellow
# rand(10)
# end
# plot(T())
# plot recipe
# @recipe function f(::Type{Val{:hiplt}},plt::Plot)
# line := (3,0.3,:red)
# marker := (20,0.5,:blue,:o)
# t := :path
# bg:=:green
# ()
# end
# plot(rand(10),t=:hiplt)
# series recipe
# @recipe function f(::Type{Val{:hi}},x,y,z)
# line := (3,0.3,:red)
# marker := (20,0.5,:blue,:o)
# t := :path
# ()
# end
# plot(rand(10),t=:hiplt)
# end
end # module