Plots.jl/test/test_contours.jl

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using Plots, Test
import RecipesPipeline
@testset "Contours" begin
@testset "check_contour_levels" begin
@test Plots.check_contour_levels(2) === nothing
@test Plots.check_contour_levels(-1.0:0.2:10.0) === nothing
@test Plots.check_contour_levels([-100, -2, -1, 0, 1, 2, 100]) === nothing
@test_throws ArgumentError Plots.check_contour_levels(1.0)
@test_throws ArgumentError Plots.check_contour_levels((1, 2, 3))
@test_throws ArgumentError Plots.check_contour_levels(-3)
end
@testset "RecipesPipeline.preprocess_attributes!" begin
function equal_after_pipeline(kw)
kw = deepcopy(kw)
RecipesPipeline.preprocess_attributes!(kw)
kw == kw
end
@test equal_after_pipeline(KW(:levels => 1))
@test equal_after_pipeline(KW(:levels => 1:10))
@test equal_after_pipeline(KW(:levels => [1.0, 3.0, 5.0]))
@test_throws ArgumentError RecipesPipeline.preprocess_attributes!(
KW(:levels => 1.0),
)
@test_throws ArgumentError RecipesPipeline.preprocess_attributes!(
KW(:levels => (1, 2, 3)),
)
@test_throws ArgumentError RecipesPipeline.preprocess_attributes!(KW(:levels => -3))
end
@testset "contour[f]" begin
x = (-2π):0.1:(2π)
y = (-π):0.1:π
z = cos.(y) .* sin.(x')
@testset "Incorrect input" begin
@test_throws ArgumentError contour(x, y, z, levels = 1.0)
@test_throws ArgumentError contour(x, y, z, levels = (1, 2, 3))
@test_throws ArgumentError contour(x, y, z, levels = -3)
end
@testset "Default number" begin
@test contour(x, y, z)[1][1].plotattributes[:levels] ==
Plots._series_defaults[:levels]
end
@testset "Number" begin
@testset "$n contours" for n in (2, 5, 100)
p = contour(x, y, z, levels = n)
attr = p[1][1].plotattributes
@test attr[:seriestype] == :contour
@test attr[:levels] == n
end
end
@testset "Range" begin
levels = -1:0.5:1
@test contour(x, y, z, levels = levels)[1][1].plotattributes[:levels] == levels
end
@testset "Set of levels" begin
levels = [-1, 0.25, 0, 0.25, 1]
@test contour(x, y, z, levels = levels)[1][1].plotattributes[:levels] == levels
end
end
end