run format(["src", "test"])

This commit is contained in:
t-bltg
2021-08-11 07:57:46 +02:00
parent a3eca8244e
commit c5db139bbb
47 changed files with 5118 additions and 3650 deletions
+8 -8
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@@ -3,13 +3,13 @@ import Plots._current_plots_version
# replace `f(args...)` with `f(rng, args...)` for `f ∈ (rand, randn)`
function replace_rand!(ex) end
function replace_rand!(ex::Expr)
for arg in ex.args
replace_rand!(arg)
end
if ex.head === :call && ex.args[1] (:rand, :randn, :(Plots.fakedata))
pushfirst!(ex.args, ex.args[1])
ex.args[2] = :rng
end
for arg in ex.args
replace_rand!(arg)
end
if ex.head === :call && ex.args[1] (:rand, :randn, :(Plots.fakedata))
pushfirst!(ex.args, ex.args[1])
ex.args[2] = :rng
end
end
function fix_rand!(ex)
replace_rand!(ex)
@@ -59,7 +59,7 @@ function image_comparison_facts(
sigma = [1, 1], # number of pixels to "blur"
tol = 1e-2,
) # acceptable error (percent)
for i = 1:length(Plots._examples)
for i in 1:length(Plots._examples)
i in skip && continue
if only === nothing || i in only
@test image_comparison_tests(pkg, i, debug = debug, sigma = sigma, tol = tol) |>
+15 -15
View File
@@ -1,13 +1,13 @@
using Plots, Test, Dates
@testset "Limits" begin
y=[1.0*i*i for i in 1:10]
x=[Date(2019,11,i) for i in 1:10]
y = [1.0 * i * i for i in 1:10]
x = [Date(2019, 11, i) for i in 1:10]
rx=[x[3],x[5]]
rx = [x[3], x[5]]
p = plot(x,y, widen = false)
vspan!(p, rx, label="", alpha=0.2)
p = plot(x, y, widen = false)
vspan!(p, rx, label = "", alpha = 0.2)
ref_ylims = (y[1], y[end])
ref_xlims = (x[1].instant.periods.value, x[end].instant.periods.value)
@@ -23,13 +23,13 @@ using Plots, Test, Dates
end # testset
@testset "Date xlims" begin
y=[1.0*i*i for i in 1:10]
x=[Date(2019,11,i) for i in 1:10]
span = (Date(2019,10,31), Date(2019,11,11))
y = [1.0 * i * i for i in 1:10]
x = [Date(2019, 11, i) for i in 1:10]
span = (Date(2019, 10, 31), Date(2019, 11, 11))
ref_xlims = map(date->date.instant.periods.value, span)
ref_xlims = map(date -> date.instant.periods.value, span)
p = plot(x,y, xlims=span, widen = false)
p = plot(x, y, xlims = span, widen = false)
@test Plots.xlims(p) == ref_xlims
#@static if (haskey(ENV, "APPVEYOR") || haskey(ENV, "CI"))
@@ -42,13 +42,13 @@ end # testset
end # testset
@testset "DateTime xlims" begin
y=[1.0*i*i for i in 1:10]
x=[DateTime(2019,11,i,11) for i in 1:10]
span = (DateTime(2019,10,31,11,59,59), DateTime(2019,11,11,12,01,15))
y = [1.0 * i * i for i in 1:10]
x = [DateTime(2019, 11, i, 11) for i in 1:10]
span = (DateTime(2019, 10, 31, 11, 59, 59), DateTime(2019, 11, 11, 12, 01, 15))
ref_xlims = map(date->date.instant.periods.value, span)
ref_xlims = map(date -> date.instant.periods.value, span)
p = plot(x,y, xlims=span, widen = false)
p = plot(x, y, xlims = span, widen = false)
@test Plots.xlims(p) == ref_xlims
#@static if (haskey(ENV, "APPVEYOR") || haskey(ENV, "CI"))
@static if haskey(ENV, "APPVEYOR")
+51 -34
View File
@@ -18,12 +18,12 @@ using RecipesBase
@test Plots.plotly_local_file_path[] === nothing
temp = Plots.use_local_dependencies[]
withenv("PLOTS_HOST_DEPENDENCY_LOCAL" => true) do
Plots.__init__()
@test Plots.plotly_local_file_path[] isa String
@test isfile(Plots.plotly_local_file_path[])
@test Plots.use_local_dependencies[] = true
@test_nowarn Plots._init_ijulia_plotting()
end
Plots.__init__()
@test Plots.plotly_local_file_path[] isa String
@test isfile(Plots.plotly_local_file_path[])
@test Plots.use_local_dependencies[] = true
@test_nowarn Plots._init_ijulia_plotting()
end
Plots.plotly_local_file_path[] = nothing
Plots.use_local_dependencies[] = temp
end # testset
@@ -39,12 +39,13 @@ include("test_recipes.jl")
include("test_hdf5plots.jl")
include("test_pgfplotsx.jl")
reference_dir(args...) = joinpath(homedir(), ".julia", "dev", "PlotReferenceImages", args...)
reference_dir(args...) =
joinpath(homedir(), ".julia", "dev", "PlotReferenceImages", args...)
function reference_file(backend, i, version)
refdir = reference_dir("Plots", string(backend))
fn = "ref$i.png"
versions = sort(VersionNumber.(readdir(refdir)), rev=true)
versions = sort(VersionNumber.(readdir(refdir)), rev = true)
reffn = joinpath(refdir, string(version), fn)
for v in versions
@@ -62,13 +63,16 @@ reference_path(backend, version) = reference_dir("Plots", string(backend), strin
if !isdir(reference_dir())
mkpath(reference_dir())
LibGit2.clone("https://github.com/JuliaPlots/PlotReferenceImages.jl.git", reference_dir())
LibGit2.clone(
"https://github.com/JuliaPlots/PlotReferenceImages.jl.git",
reference_dir(),
)
end
include("imgcomp.jl")
# don't actually show the plots
Random.seed!(PLOTS_SEED)
default(show=false, reuse=true)
default(show = false, reuse = true)
is_ci() = get(ENV, "CI", "false") == "true"
const PLOTS_IMG_TOL = parse(Float64, get(ENV, "PLOTS_IMG_TOL", is_ci() ? "1e-4" : "1e-5"))
@@ -98,7 +102,6 @@ const PLOTS_IMG_TOL = parse(Float64, get(ENV, "PLOTS_IMG_TOL", is_ci() ? "1e-4"
##
@testset "Backends" begin
@testset "GR" begin
ENV["PLOTS_TEST"] = "true"
ENV["GKSwstype"] = "100"
@@ -108,7 +111,11 @@ const PLOTS_IMG_TOL = parse(Float64, get(ENV, "PLOTS_IMG_TOL", is_ci() ? "1e-4"
@static if haskey(ENV, "APPVEYOR")
@info "Skipping GR image comparison tests on AppVeyor"
else
image_comparison_facts(:gr, tol=PLOTS_IMG_TOL, skip=Plots._backend_skips[:gr])
image_comparison_facts(
:gr,
tol = PLOTS_IMG_TOL,
skip = Plots._backend_skips[:gr],
)
end
end
@@ -148,7 +155,6 @@ const PLOTS_IMG_TOL = parse(Float64, get(ENV, "PLOTS_IMG_TOL", is_ci() ? "1e-4"
@test isa(p, Plots.Plot) == true
@test_broken isa(display(p), Nothing) == true
end
end
@testset "Axes" begin
@@ -158,10 +164,10 @@ end
@test Plots.discrete_value!(axis, "HI") == (0.5, 1)
@test Plots.discrete_value!(axis, :yo) == (1.5, 2)
@test Plots.ignorenan_extrema(axis) == (0.5, 1.5)
@test axis[:discrete_map] == Dict{Any,Any}(:yo => 2, "HI" => 1)
@test axis[:discrete_map] == Dict{Any,Any}(:yo => 2, "HI" => 1)
Plots.discrete_value!(axis, ["x$i" for i = 1:5])
Plots.discrete_value!(axis, ["x$i" for i = 0:2])
Plots.discrete_value!(axis, ["x$i" for i in 1:5])
Plots.discrete_value!(axis, ["x$i" for i in 0:2])
@test Plots.ignorenan_extrema(axis) == (0.5, 7.5)
end
@@ -171,14 +177,16 @@ end
@test backend() == Plots.UnicodePlotsBackend()
@testset "Plot" begin
plots = [histogram([1, 0, 0, 0, 0, 0]),
plot([missing]),
plot([missing, missing]),
plot(fill(missing, 10)),
plot([missing; 1:4]),
plot([fill(missing, 10); 1:4]),
plot([1 1; 1 missing]),
plot(["a" "b"; missing "d"], [1 2; 3 4])]
plots = [
histogram([1, 0, 0, 0, 0, 0]),
plot([missing]),
plot([missing, missing]),
plot(fill(missing, 10)),
plot([missing; 1:4]),
plot([fill(missing, 10); 1:4]),
plot([1 1; 1 missing]),
plot(["a" "b"; missing "d"], [1 2; 3 4]),
]
for plt in plots
display(plt)
end
@@ -186,13 +194,12 @@ end
end
@testset "Bar" begin
p = bar([3,2,1], [1,2,3]);
@test isa(p, Plots.Plot)
@test isa(display(p), Nothing) == true
p = bar([3, 2, 1], [1, 2, 3])
@test isa(p, Plots.Plot)
@test isa(display(p), Nothing) == true
end
end
@testset "EmptyAnim" begin
anim = @animate for i in []
end
@@ -208,17 +215,25 @@ end
@test segments([NaN]) == []
@test segments(nan10) == []
@test segments([nan10; 1:5]) == [11:15]
@test segments([1:5;nan10]) == [1:5]
@test segments([1:5; nan10]) == [1:5]
@test segments([nan10; 1:5; nan10; 1:5; nan10]) == [11:15, 26:30]
@test segments([NaN; 1], 1:10) == [2:2, 4:4, 6:6, 8:8, 10:10]
@test segments([nan10; 1:15], [1:15; nan10]) == [11:15]
end
@testset "Utils" begin
zipped = ([(1, 2)], [("a", "b")], [(1, "a"),(2, "b")],
[(1, 2),(3, 4)], [(1, 2, 3),(3, 4, 5)], [(1, 2, 3, 4),(3, 4, 5, 6)],
[(1, 2.0),(missing, missing)], [(1, missing),(missing, "a")],
[(missing, missing)], [(missing, missing, missing),("a", "b", "c")])
zipped = (
[(1, 2)],
[("a", "b")],
[(1, "a"), (2, "b")],
[(1, 2), (3, 4)],
[(1, 2, 3), (3, 4, 5)],
[(1, 2, 3, 4), (3, 4, 5, 6)],
[(1, 2.0), (missing, missing)],
[(1, missing), (missing, "a")],
[(missing, missing)],
[(missing, missing, missing), ("a", "b", "c")],
)
for z in zipped
@test isequal(collect(zip(Plots.unzip(z)...)), z)
@test isequal(collect(zip(Plots.unzip(GeometryBasics.Point.(z))...)), z)
@@ -227,5 +242,7 @@ end
op2 = Plots.process_clims((1, 2.0))
data = randn(100, 100)
@test op1(data) == op2(data)
@test Plots.process_clims(nothing) == Plots.process_clims(missing) == Plots.process_clims(:auto)
@test Plots.process_clims(nothing) ==
Plots.process_clims(missing) ==
Plots.process_clims(:auto)
end
+12 -12
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@@ -9,8 +9,8 @@ using Plots, Test
end
@testset "Magic axis" begin
@test plot(1, axis=nothing)[1][:xaxis][:ticks] == []
@test plot(1, axis=nothing)[1][:yaxis][:ticks] == []
@test plot(1, axis = nothing)[1][:xaxis][:ticks] == []
@test plot(1, axis = nothing)[1][:yaxis][:ticks] == []
end # testset
@testset "Categorical ticks" begin
@@ -23,34 +23,34 @@ end # testset
end
@testset "Ticks getter functions" begin
ticks1 = ([1,2,3], ("a","b","c"))
ticks2 = ([4,5], ("e","f"))
p1 = plot(1:5, 1:5, 1:5, xticks=ticks1, yticks=ticks1, zticks=ticks1)
p2 = plot(1:5, 1:5, 1:5, xticks=ticks2, yticks=ticks2, zticks=ticks2)
ticks1 = ([1, 2, 3], ("a", "b", "c"))
ticks2 = ([4, 5], ("e", "f"))
p1 = plot(1:5, 1:5, 1:5, xticks = ticks1, yticks = ticks1, zticks = ticks1)
p2 = plot(1:5, 1:5, 1:5, xticks = ticks2, yticks = ticks2, zticks = ticks2)
p = plot(p1, p2)
@test xticks(p) == yticks(p) == zticks(p) == [ticks1, ticks2]
@test xticks(p[1]) == yticks(p[1]) == zticks(p[1]) == ticks1
end
@testset "Axis limits" begin
pl = plot(1:5, xlims=:symmetric, widen = false)
pl = plot(1:5, xlims = :symmetric, widen = false)
@test Plots.xlims(pl) == (-5, 5)
pl = plot(1:3)
@test Plots.xlims(pl) == Plots.widen(1,3)
@test Plots.xlims(pl) == Plots.widen(1, 3)
pl = plot([1.05,2.0,2.95], ylims=:round)
pl = plot([1.05, 2.0, 2.95], ylims = :round)
@test Plots.ylims(pl) == (1, 3)
pl = plot(1:3, xlims=(1,5))
pl = plot(1:3, xlims = (1, 5))
@test Plots.xlims(pl) == (1, 5)
pl = plot(1:3, xlims=(1,5), widen=true)
pl = plot(1:3, xlims = (1, 5), widen = true)
@test Plots.xlims(pl) == Plots.widen(1, 5)
end
@testset "3D Axis" begin
ql = quiver([1, 2], [2, 1], [3, 4], quiver = ([1, -1], [0, 0], [1, -0.5]), arrow=true)
ql = quiver([1, 2], [2, 1], [3, 4], quiver = ([1, -1], [0, 0], [1, -0.5]), arrow = true)
@test ql[1][:projection] == "3d"
end
+6 -3
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@@ -9,12 +9,15 @@ using Plots, Test
value(m::MyType) = m.val
data = MyType.(sort(randn(20)))
# A recipe that puts the axis letter in the title
@recipe function f(::Type{T}, m::T) where T <: AbstractArray{<:MyType}
@recipe function f(::Type{T}, m::T) where {T<:AbstractArray{<:MyType}}
title --> string(plotattributes[:letter])
value.(m)
end
@testset "$f (orientation = $o)" for f in [histogram, barhist, stephist, scatterhist], o in [:vertical, :horizontal]
@test f(data, orientation=o).subplots[1].attr[:title] == (o == :vertical ? "x" : "y")
@testset "$f (orientation = $o)" for f in [histogram, barhist, stephist, scatterhist],
o in [:vertical, :horizontal]
@test f(data, orientation = o).subplots[1].attr[:title] ==
(o == :vertical ? "x" : "y")
end
@testset "$f" for f in [hline, hspan]
@test f(data).subplots[1].attr[:title] == "y"
+9 -8
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@@ -52,7 +52,7 @@ using Plots, Test
@testset "Plot" begin
ang = range(0, 2π, length = 60)
ellipse(x, y, w, h) = Shape(w * sin.(ang) .+ x, h * cos.(ang) .+ y)
myshapes = [ellipse(x, rand(), rand(), rand()) for x = 1:4]
myshapes = [ellipse(x, rand(), rand(), rand()) for x in 1:4]
@test coords(myshapes) isa Tuple{Vector{Vector{S}},Vector{Vector{T}}} where {T,S}
local p
@test_nowarn p = plot(myshapes)
@@ -116,7 +116,7 @@ end
end
@testset "Series Annotations" begin
square = Shape([(0., 0.), (1., 0.), (1., 1.), (0., 1.)])
square = Shape([(0.0, 0.0), (1.0, 0.0), (1.0, 1.0), (0.0, 1.0)])
@test_logs (:warn, "Unused SeriesAnnotations arg: triangle (Symbol)") begin
p = plot(
[1, 2, 3],
@@ -136,24 +136,25 @@ end
@test sa.scalefactor == (1, 4)
end
spl = scatter(
4.53 .* [1/1 1/2 1/3 1/4 1/5],
4.53 .* [1 / 1 1 / 2 1 / 3 1 / 4 1 / 5],
[0 0 0 0 0],
layout = (5, 1),
ylims = (-1.1, 1.1),
xlims = (0, 5),
series_annotations = permutedims([["1/1"], ["1/2"], ["1/3"], ["1/4"], ["1/5"]]),
)
for i 1:5
@test only(spl.series_list[i].plotattributes[:series_annotations].strs).str == "1/$i"
for i in 1:5
@test only(spl.series_list[i].plotattributes[:series_annotations].strs).str ==
"1/$i"
end
p = plot([1, 2], annotations=(1.5, 2, text("foo", :left)))
p = plot([1, 2], annotations = (1.5, 2, text("foo", :left)))
x, y, txt = only(p.subplots[end][:annotations])
@test (x, y) == (1.5, 2)
@test txt.str == "foo"
p = plot([1, 2], annotations=((.1, .5), :auto))
p = plot([1, 2], annotations = ((0.1, 0.5), :auto))
pos, txt = only(p.subplots[end][:annotations])
@test pos == (.1, .5)
@test pos == (0.1, 0.5)
@test txt.str == "(a)"
end
+12 -13
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@@ -1,21 +1,20 @@
using Plots, HDF5
@testset "HDF5_Plots" begin
fname = "tmpplotsave.hdf5"
hdf5()
fname = "tmpplotsave.hdf5"
hdf5()
x = 1:10
psrc=plot(x, x.*x); #Create some plot
Plots.hdf5plot_write(psrc, fname)
x = 1:10
psrc = plot(x, x .* x) #Create some plot
Plots.hdf5plot_write(psrc, fname)
#Read back file:
gr() #Choose some fast backend likely to work in test environment.
pread = Plots.hdf5plot_read(fname)
#Read back file:
gr() #Choose some fast backend likely to work in test environment.
pread = Plots.hdf5plot_read(fname)
#Make sure data made it through:
@test psrc.subplots[1].series_list[1][:x] == pread.subplots[1].series_list[1][:x]
@test psrc.subplots[1].series_list[1][:y] == pread.subplots[1].series_list[1][:y]
#Make sure data made it through:
@test psrc.subplots[1].series_list[1][:x] == pread.subplots[1].series_list[1][:x]
@test psrc.subplots[1].series_list[1][:y] == pread.subplots[1].series_list[1][:y]
#display(pread) #Don't display. Regression env might not support
#display(pread) #Don't display. Regression env might not support
end #testset
+386 -399
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@@ -2,420 +2,407 @@ using Plots, Test
pgfplotsx()
function create_plot(args...; kwargs...)
pgfx_plot = plot(args...; kwargs...)
return pgfx_plot, repr("application/x-tex", pgfx_plot)
pgfx_plot = plot(args...; kwargs...)
return pgfx_plot, repr("application/x-tex", pgfx_plot)
end
function create_plot!(args...; kwargs...)
pgfx_plot = plot!(args...; kwargs...)
return pgfx_plot, repr("application/x-tex", pgfx_plot)
pgfx_plot = plot!(args...; kwargs...)
return pgfx_plot, repr("application/x-tex", pgfx_plot)
end
@testset "PGFPlotsX" begin
pgfx_plot = plot(1:5)
Plots._update_plot_object(pgfx_plot)
@test pgfx_plot.o.the_plot isa PGFPlotsX.TikzDocument
@test pgfx_plot.series_list[1].plotattributes[:quiver] === nothing
axis = Plots.pgfx_axes(pgfx_plot.o)[1]
@test count(x -> x isa PGFPlotsX.Plot, axis.contents) == 1
@test !haskey(axis.contents[1].options.dict, "fill")
pgfx_plot = plot(1:5)
Plots._update_plot_object(pgfx_plot)
@test pgfx_plot.o.the_plot isa PGFPlotsX.TikzDocument
@test pgfx_plot.series_list[1].plotattributes[:quiver] === nothing
axis = Plots.pgfx_axes(pgfx_plot.o)[1]
@test count(x -> x isa PGFPlotsX.Plot, axis.contents) == 1
@test !haskey(axis.contents[1].options.dict, "fill")
@testset "Legends" begin
legends_plot = plot(rand(5, 2), lab = ["1" ""])
scatter!(legends_plot, rand(5))
Plots._update_plot_object(legends_plot)
axis_contents = Plots.pgfx_axes(legends_plot.o)[1].contents
leg_entries = filter(x -> x isa PGFPlotsX.LegendEntry, axis_contents)
series = filter(x -> x isa PGFPlotsX.Plot, axis_contents)
@test length(leg_entries) == 2
@test !haskey(series[1].options.dict, "forget plot")
@test haskey(series[2].options.dict, "forget plot")
@test !haskey(series[3].options.dict, "forget plot")
end # testset
@testset "Legends" begin
legends_plot = plot(rand(5, 2), lab = ["1" ""])
scatter!(legends_plot, rand(5))
Plots._update_plot_object(legends_plot)
axis_contents = Plots.pgfx_axes(legends_plot.o)[1].contents
leg_entries = filter(x -> x isa PGFPlotsX.LegendEntry, axis_contents)
series = filter(x -> x isa PGFPlotsX.Plot, axis_contents)
@test length(leg_entries) == 2
@test !haskey(series[1].options.dict, "forget plot")
@test haskey(series[2].options.dict, "forget plot")
@test !haskey(series[3].options.dict, "forget plot")
end # testset
@testset "3D docs example" begin
n = 100
ts = range(0, stop = 8π, length = n)
x = ts .* map(cos, ts)
y = (0.1ts) .* map(sin, ts)
z = 1:n
pl = plot(
x,
y,
z,
zcolor = reverse(z),
m = (10, 0.8, :blues, Plots.stroke(0)),
leg = false,
cbar = true,
w = 5,
)
pgfx_plot = plot!(pl, zeros(n), zeros(n), 1:n, w = 10)
Plots._update_plot_object(pgfx_plot)
if @test_nowarn(
haskey(Plots.pgfx_axes(pgfx_plot.o)[1].options.dict, "colorbar") == true
)
@test Plots.pgfx_axes(pgfx_plot.o)[1]["colorbar"] === nothing
end
end # testset
@testset "Color docs example" begin
y = rand(100)
plot(
0:10:100,
rand(11, 4),
lab = "lines",
w = 3,
palette = :grays,
fill = 0,
α = 0.6,
)
pl = scatter!(
y,
zcolor = abs.(y .- 0.5),
m = (:hot, 0.8, Plots.stroke(1, :green)),
ms = 10 * abs.(y .- 0.5) .+ 4,
lab = ["grad", "", "ient"],
)
Plots._update_plot_object(pl)
axis = Plots.pgfx_axes(pl.o)[1]
@test count(x -> x isa PGFPlotsX.LegendEntry, axis.contents) == 6
@test count(x -> x isa PGFPlotsX.Plot, axis.contents) == 108 # each marker is its own plot, fillranges create 2 plot-objects
marker = axis.contents[15]
@test marker isa PGFPlotsX.Plot
@test marker.options["mark"] == "*"
@test marker.options["mark options"]["color"] ==
RGBA{Float64}(colorant"green", 0.8)
@test marker.options["mark options"]["line width"] == 0.75 # 1px is 0.75pt
end # testset
@testset "Plot in pieces" begin
pic = plot(rand(100) / 3, reg = true, fill = (0, :green))
scatter!(pic, rand(100), markersize = 6, c = :orange)
Plots._update_plot_object(pic)
axis_contents = Plots.pgfx_axes(pic.o)[1].contents
leg_entries = filter(x -> x isa PGFPlotsX.LegendEntry, axis_contents)
series = filter(x -> x isa PGFPlotsX.Plot, axis_contents)
@test length(leg_entries) == 2
@test length(series) == 4
@test haskey(series[1].options.dict, "forget plot")
@test !haskey(series[2].options.dict, "forget plot")
@test haskey(series[3].options.dict, "forget plot")
@test !haskey(series[4].options.dict, "forget plot")
end # testset
@testset "Marker types" begin
markers = filter((m -> begin
m in Plots.supported_markers()
end), Plots._shape_keys)
markers = reshape(markers, 1, length(markers))
n = length(markers)
x = (range(0, stop = 10, length = n + 2))[2:(end-1)]
y = repeat(reshape(reverse(x), 1, :), n, 1)
scatter(
x,
y,
m = (8, :auto),
lab = map(string, markers),
bg = :linen,
xlim = (0, 10),
ylim = (0, 10),
)
end # testset
@testset "Layout" begin
plot(
Plots.fakedata(100, 10),
layout = 4,
palette = [:grays :blues :hot :rainbow],
bg_inside = [:orange :pink :darkblue :black],
)
end # testset
@testset "Polar plots" begin
Θ = range(0, stop = 1.5π, length = 100)
r = abs.(0.1 * randn(100) + sin.(3Θ))
plot(Θ, r, proj = :polar, m = 2)
end # testset
@testset "Drawing shapes" begin
verts = [
(-1.0, 1.0),
(-1.28, 0.6),
(-0.2, -1.4),
(0.2, -1.4),
(1.28, 0.6),
(1.0, 1.0),
(-1.0, 1.0),
(-0.2, -0.6),
(0.0, -0.2),
(-0.4, 0.6),
(1.28, 0.6),
(0.2, -1.4),
(-0.2, -1.4),
(0.6, 0.2),
(-0.2, 0.2),
(0.0, -0.2),
(0.2, 0.2),
(-0.2, -0.6),
]
x = 0.1:0.2:0.9
y = 0.7 * rand(5) .+ 0.15
plot(
x,
y,
line = (3, :dash, :lightblue),
marker = (Shape(verts), 30, RGBA(0, 0, 0, 0.2)),
bg = :pink,
fg = :darkblue,
xlim = (0, 1),
ylim = (0, 1),
leg = false,
)
end # testset
@testset "Histogram 2D" begin
histogram2d(randn(10000), randn(10000), nbins = 20)
end # testset
@testset "Heatmap-like" begin
xs = [string("x", i) for i = 1:10]
ys = [string("y", i) for i = 1:4]
z = float((1:4) * reshape(1:10, 1, :))
pgfx_plot = heatmap(xs, ys, z, aspect_ratio = 1)
Plots._update_plot_object(pgfx_plot)
if @test_nowarn(
haskey(Plots.pgfx_axes(pgfx_plot.o)[1].options.dict, "colorbar") == true
)
@test Plots.pgfx_axes(pgfx_plot.o)[1]["colorbar"] === nothing
@test Plots.pgfx_axes(pgfx_plot.o)[1]["colormap name"] == "plots1"
end
@testset "3D docs example" begin
n = 100
ts = range(0, stop = 8π, length = n)
x = ts .* map(cos, ts)
y = (0.1ts) .* map(sin, ts)
z = 1:n
pl = plot(
x,
y,
z,
zcolor = reverse(z),
m = (10, 0.8, :blues, Plots.stroke(0)),
leg = false,
cbar = true,
w = 5,
)
pgfx_plot = plot!(pl, zeros(n), zeros(n), 1:n, w = 10)
Plots._update_plot_object(pgfx_plot)
if @test_nowarn(
haskey(Plots.pgfx_axes(pgfx_plot.o)[1].options.dict, "colorbar") == true
)
@test Plots.pgfx_axes(pgfx_plot.o)[1]["colorbar"] === nothing
end
end # testset
@testset "Color docs example" begin
y = rand(100)
plot(
0:10:100,
rand(11, 4),
lab = "lines",
w = 3,
palette = :grays,
fill = 0,
α = 0.6,
)
pl = scatter!(
y,
zcolor = abs.(y .- 0.5),
m = (:hot, 0.8, Plots.stroke(1, :green)),
ms = 10 * abs.(y .- 0.5) .+ 4,
lab = ["grad", "", "ient"],
)
Plots._update_plot_object(pl)
axis = Plots.pgfx_axes(pl.o)[1]
@test count(x -> x isa PGFPlotsX.LegendEntry, axis.contents) == 6
@test count(x -> x isa PGFPlotsX.Plot, axis.contents) == 108 # each marker is its own plot, fillranges create 2 plot-objects
marker = axis.contents[15]
@test marker isa PGFPlotsX.Plot
@test marker.options["mark"] == "*"
@test marker.options["mark options"]["color"] == RGBA{Float64}(colorant"green", 0.8)
@test marker.options["mark options"]["line width"] == 0.75 # 1px is 0.75pt
end # testset
@testset "Plot in pieces" begin
pic = plot(rand(100) / 3, reg = true, fill = (0, :green))
scatter!(pic, rand(100), markersize = 6, c = :orange)
Plots._update_plot_object(pic)
axis_contents = Plots.pgfx_axes(pic.o)[1].contents
leg_entries = filter(x -> x isa PGFPlotsX.LegendEntry, axis_contents)
series = filter(x -> x isa PGFPlotsX.Plot, axis_contents)
@test length(leg_entries) == 2
@test length(series) == 4
@test haskey(series[1].options.dict, "forget plot")
@test !haskey(series[2].options.dict, "forget plot")
@test haskey(series[3].options.dict, "forget plot")
@test !haskey(series[4].options.dict, "forget plot")
end # testset
@testset "Marker types" begin
markers = filter((m -> begin
m in Plots.supported_markers()
end), Plots._shape_keys)
markers = reshape(markers, 1, length(markers))
n = length(markers)
x = (range(0, stop = 10, length = n + 2))[2:(end - 1)]
y = repeat(reshape(reverse(x), 1, :), n, 1)
scatter(
x,
y,
m = (8, :auto),
lab = map(string, markers),
bg = :linen,
xlim = (0, 10),
ylim = (0, 10),
)
end # testset
@testset "Layout" begin
plot(
Plots.fakedata(100, 10),
layout = 4,
palette = [:grays :blues :hot :rainbow],
bg_inside = [:orange :pink :darkblue :black],
)
end # testset
@testset "Polar plots" begin
Θ = range(0, stop = 1.5π, length = 100)
r = abs.(0.1 * randn(100) + sin.(3Θ))
plot(Θ, r, proj = :polar, m = 2)
end # testset
@testset "Drawing shapes" begin
verts = [
(-1.0, 1.0),
(-1.28, 0.6),
(-0.2, -1.4),
(0.2, -1.4),
(1.28, 0.6),
(1.0, 1.0),
(-1.0, 1.0),
(-0.2, -0.6),
(0.0, -0.2),
(-0.4, 0.6),
(1.28, 0.6),
(0.2, -1.4),
(-0.2, -1.4),
(0.6, 0.2),
(-0.2, 0.2),
(0.0, -0.2),
(0.2, 0.2),
(-0.2, -0.6),
]
x = 0.1:0.2:0.9
y = 0.7 * rand(5) .+ 0.15
plot(
x,
y,
line = (3, :dash, :lightblue),
marker = (Shape(verts), 30, RGBA(0, 0, 0, 0.2)),
bg = :pink,
fg = :darkblue,
xlim = (0, 1),
ylim = (0, 1),
leg = false,
)
end # testset
@testset "Histogram 2D" begin
histogram2d(randn(10000), randn(10000), nbins = 20)
end # testset
@testset "Heatmap-like" begin
xs = [string("x", i) for i in 1:10]
ys = [string("y", i) for i in 1:4]
z = float((1:4) * reshape(1:10, 1, :))
pgfx_plot = heatmap(xs, ys, z, aspect_ratio = 1)
Plots._update_plot_object(pgfx_plot)
if @test_nowarn(
haskey(Plots.pgfx_axes(pgfx_plot.o)[1].options.dict, "colorbar") == true
)
@test Plots.pgfx_axes(pgfx_plot.o)[1]["colorbar"] === nothing
@test Plots.pgfx_axes(pgfx_plot.o)[1]["colormap name"] == "plots1"
end
pgfx_plot = wireframe(xs, ys, z, aspect_ratio = 1)
# TODO: clims are wrong
end # testset
@testset "Contours" begin
x = 1:0.5:20
y = 1:0.5:10
f(x, y) = begin
(3x + y^2) * abs(sin(x) + cos(y))
end
X = repeat(reshape(x, 1, :), length(y), 1)
Y = repeat(y, 1, length(x))
Z = map(f, X, Y)
p2 = contour(x, y, Z)
p1 = contour(x, y, f, fill = true)
plot(p1, p2)
# TODO: colorbar for filled contours
end # testset
@testset "Varying colors" begin
t = range(0, stop = 1, length = 100)
θ = (6π) .* t
x = t .* cos.(θ)
y = t .* sin.(θ)
p1 = plot(x, y, line_z = t, linewidth = 3, legend = false)
p2 = scatter(
x,
y,
marker_z = ((x, y) -> begin
pgfx_plot = wireframe(xs, ys, z, aspect_ratio = 1)
# TODO: clims are wrong
end # testset
@testset "Contours" begin
x = 1:0.5:20
y = 1:0.5:10
f(x, y) = begin
(3x + y^2) * abs(sin(x) + cos(y))
end
X = repeat(reshape(x, 1, :), length(y), 1)
Y = repeat(y, 1, length(x))
Z = map(f, X, Y)
p2 = contour(x, y, Z)
p1 = contour(x, y, f, fill = true)
plot(p1, p2)
# TODO: colorbar for filled contours
end # testset
@testset "Varying colors" begin
t = range(0, stop = 1, length = 100)
θ = (6π) .* t
x = t .* cos.(θ)
y = t .* sin.(θ)
p1 = plot(x, y, line_z = t, linewidth = 3, legend = false)
p2 = scatter(x, y, marker_z = ((x, y) -> begin
x + y
end),
color = :bwr,
legend = false,
)
plot(p1, p2)
end # testset
@testset "Framestyles" begin
scatter(
fill(randn(10), 6),
fill(randn(10), 6),
framestyle = [:box :semi :origin :zerolines :grid :none],
title = [":box" ":semi" ":origin" ":zerolines" ":grid" ":none"],
color = permutedims(1:6),
layout = 6,
label = "",
markerstrokewidth = 0,
ticks = -2:2,
)
# TODO: support :semi
end # testset
@testset "Quiver" begin
x = (-2pi):0.2:(2*pi)
y = sin.(x)
end), color = :bwr, legend = false)
plot(p1, p2)
end # testset
@testset "Framestyles" begin
scatter(
fill(randn(10), 6),
fill(randn(10), 6),
framestyle = [:box :semi :origin :zerolines :grid :none],
title = [":box" ":semi" ":origin" ":zerolines" ":grid" ":none"],
color = permutedims(1:6),
layout = 6,
label = "",
markerstrokewidth = 0,
ticks = -2:2,
)
# TODO: support :semi
end # testset
@testset "Quiver" begin
x = (-2pi):0.2:(2 * pi)
y = sin.(x)
u = ones(length(x))
v = cos.(x)
arrow_plot = plot(x, y, quiver = (u, v), arrow = true)
# TODO: could adjust limits to fit arrows if too long, but how?
# TODO: get latex available on CI
# mktempdir() do path
# @test_nowarn savefig(arrow_plot, path*"arrow.pdf")
# end
end # testset
@testset "Annotations" begin
y = rand(10)
pgfx_plot = plot(
y,
annotations = (3, y[3], Plots.text("this is \\#3", :left)),
leg = false,
)
Plots._update_plot_object(pgfx_plot)
axis_content = Plots.pgfx_axes(pgfx_plot.o)[1].contents
nodes = filter(x -> !isa(x, PGFPlotsX.Plot), axis_content)
@test length(nodes) == 1
mktempdir() do path
file_path = joinpath(path, "annotations.tex")
@test_nowarn savefig(pgfx_plot, file_path)
open(file_path) do io
lines = readlines(io)
@test count(s -> occursin("node", s), lines) == 1
end
end
annotate!([
(5, y[5], Plots.text("this is \\#5", 16, :red, :center)),
(10, y[10], Plots.text("this is \\#10", :right, 20, "courier")),
])
Plots._update_plot_object(pgfx_plot)
axis_content = Plots.pgfx_axes(pgfx_plot.o)[1].contents
nodes = filter(x -> !isa(x, PGFPlotsX.Plot), axis_content)
@test length(nodes) == 3
mktempdir() do path
file_path = joinpath(path, "annotations.tex")
@test_nowarn savefig(pgfx_plot, file_path)
open(file_path) do io
lines = readlines(io)
@test count(s -> occursin("node", s), lines) == 3
end
end
annotation_plot = scatter!(
range(2, stop = 8, length = 6),
rand(6),
marker = (50, 0.2, :orange),
series_annotations = [
"series",
"annotations",
"map",
"to",
"series",
Plots.text("data", :green),
],
)
Plots._update_plot_object(annotation_plot)
axis_content = Plots.pgfx_axes(annotation_plot.o)[1].contents
nodes = filter(x -> !isa(x, PGFPlotsX.Plot), axis_content)
@test length(nodes) == 9
mktempdir() do path
file_path = joinpath(path, "annotations.tex")
@test_nowarn savefig(annotation_plot, file_path)
open(file_path) do io
lines = readlines(io)
@test count(s -> occursin("node", s), lines) == 9
end
# test .tikz extension
file_path = joinpath(path, "annotations.tikz")
@test_nowarn savefig(annotation_plot, file_path)
@test_nowarn open(file_path) do io
end
end
end # testset
@testset "Ribbon" begin
aa = rand(10)
bb = rand(10)
cc = rand(10)
conf = [aa - cc bb - cc]
ribbon_plot =
plot(collect(1:10), fill(1, 10), ribbon = (conf[:, 1], conf[:, 2]))
Plots._update_plot_object(ribbon_plot)
axis = Plots.pgfx_axes(ribbon_plot.o)[1]
plots = filter(x -> x isa PGFPlotsX.Plot, axis.contents)
@test length(plots) == 3
@test haskey(plots[1].options.dict, "fill")
@test haskey(plots[2].options.dict, "fill")
@test !haskey(plots[3].options.dict, "fill")
@test ribbon_plot.o !== nothing
@test ribbon_plot.o.the_plot !== nothing
end # testset
@testset "Markers and Paths" begin
pl = plot(
5 .- ones(9),
markershape = [:utriangle, :rect],
markersize = 8,
color = [:red, :black],
)
Plots._update_plot_object(pl)
axis = Plots.pgfx_axes(pl.o)[1]
plots = filter(x -> x isa PGFPlotsX.Plot, axis.contents)
@test length(plots) == 9
end # testset
@testset "Groups and Subplots" begin
group = rand(map((i->begin
"group $(i)"
end), 1:4), 100)
pl = plot(rand(100), layout = @layout([a b; c]), group = group, linetype = [:bar :scatter :steppre], linecolor = :match)
Plots._update_plot_object(pl)
axis = Plots.pgfx_axes(pl.o)[1]
legend_entries = filter(x -> x isa PGFPlotsX.LegendEntry, axis.contents)
@test length(legend_entries) == 2
end
u = ones(length(x))
v = cos.(x)
arrow_plot = plot(x, y, quiver = (u, v), arrow = true)
# TODO: could adjust limits to fit arrows if too long, but how?
# TODO: get latex available on CI
# mktempdir() do path
# @test_nowarn savefig(arrow_plot, path*"arrow.pdf")
# end
end # testset
@testset "Annotations" begin
y = rand(10)
pgfx_plot =
plot(y, annotations = (3, y[3], Plots.text("this is \\#3", :left)), leg = false)
Plots._update_plot_object(pgfx_plot)
axis_content = Plots.pgfx_axes(pgfx_plot.o)[1].contents
nodes = filter(x -> !isa(x, PGFPlotsX.Plot), axis_content)
@test length(nodes) == 1
mktempdir() do path
file_path = joinpath(path, "annotations.tex")
@test_nowarn savefig(pgfx_plot, file_path)
open(file_path) do io
lines = readlines(io)
@test count(s -> occursin("node", s), lines) == 1
end
end
annotate!([
(5, y[5], Plots.text("this is \\#5", 16, :red, :center)),
(10, y[10], Plots.text("this is \\#10", :right, 20, "courier")),
])
Plots._update_plot_object(pgfx_plot)
axis_content = Plots.pgfx_axes(pgfx_plot.o)[1].contents
nodes = filter(x -> !isa(x, PGFPlotsX.Plot), axis_content)
@test length(nodes) == 3
mktempdir() do path
file_path = joinpath(path, "annotations.tex")
@test_nowarn savefig(pgfx_plot, file_path)
open(file_path) do io
lines = readlines(io)
@test count(s -> occursin("node", s), lines) == 3
end
end
annotation_plot = scatter!(
range(2, stop = 8, length = 6),
rand(6),
marker = (50, 0.2, :orange),
series_annotations = [
"series",
"annotations",
"map",
"to",
"series",
Plots.text("data", :green),
],
)
Plots._update_plot_object(annotation_plot)
axis_content = Plots.pgfx_axes(annotation_plot.o)[1].contents
nodes = filter(x -> !isa(x, PGFPlotsX.Plot), axis_content)
@test length(nodes) == 9
mktempdir() do path
file_path = joinpath(path, "annotations.tex")
@test_nowarn savefig(annotation_plot, file_path)
open(file_path) do io
lines = readlines(io)
@test count(s -> occursin("node", s), lines) == 9
end
# test .tikz extension
file_path = joinpath(path, "annotations.tikz")
@test_nowarn savefig(annotation_plot, file_path)
@test_nowarn open(file_path) do io
end
end
end # testset
@testset "Ribbon" begin
aa = rand(10)
bb = rand(10)
cc = rand(10)
conf = [aa - cc bb - cc]
ribbon_plot = plot(collect(1:10), fill(1, 10), ribbon = (conf[:, 1], conf[:, 2]))
Plots._update_plot_object(ribbon_plot)
axis = Plots.pgfx_axes(ribbon_plot.o)[1]
plots = filter(x -> x isa PGFPlotsX.Plot, axis.contents)
@test length(plots) == 3
@test haskey(plots[1].options.dict, "fill")
@test haskey(plots[2].options.dict, "fill")
@test !haskey(plots[3].options.dict, "fill")
@test ribbon_plot.o !== nothing
@test ribbon_plot.o.the_plot !== nothing
end # testset
@testset "Markers and Paths" begin
pl = plot(
5 .- ones(9),
markershape = [:utriangle, :rect],
markersize = 8,
color = [:red, :black],
)
Plots._update_plot_object(pl)
axis = Plots.pgfx_axes(pl.o)[1]
plots = filter(x -> x isa PGFPlotsX.Plot, axis.contents)
@test length(plots) == 9
end # testset
@testset "Groups and Subplots" begin
group = rand(map((i -> begin
"group $(i)"
end), 1:4), 100)
pl = plot(
rand(100),
layout = @layout([a b; c]),
group = group,
linetype = [:bar :scatter :steppre],
linecolor = :match,
)
Plots._update_plot_object(pl)
axis = Plots.pgfx_axes(pl.o)[1]
legend_entries = filter(x -> x isa PGFPlotsX.LegendEntry, axis.contents)
@test length(legend_entries) == 2
end
end # testset
@testset "Extra kwargs" begin
pl = plot(1:5, test = "me")
@test pl[1][1].plotattributes[:extra_kwargs][:test] == "me"
pl = plot(1:5, test = "me", extra_kwargs = :subplot)
@test pl[1].attr[:extra_kwargs][:test] == "me"
pl = plot(1:5, test = "me", extra_kwargs = :plot)
@test pl.attr[:extra_plot_kwargs][:test] == "me"
pl = plot(
1:5,
extra_kwargs = Dict(
:plot => Dict(:test => "me"),
:series => Dict(:and => "me too"),
),
)
@test pl.attr[:extra_plot_kwargs][:test] == "me"
@test pl[1][1].plotattributes[:extra_kwargs][:and] == "me too"
pl = plot(
plot(1:5, title = "Line"),
scatter(
1:5,
title = "Scatter",
extra_kwargs = Dict(:subplot => Dict("axis line shift" => "10pt")),
),
)
Plots._update_plot_object(pl)
axes = Plots.pgfx_axes(pl.o)
@test !haskey(axes[1].options.dict, "axis line shift")
@test haskey(axes[2].options.dict, "axis line shift")
pl = plot(
x -> x,
-1:1;
add = raw"\node at (0,0.5) {\huge hi};",
extra_kwargs = :subplot,
)
@test pl[1][:extra_kwargs] == Dict(:add => raw"\node at (0,0.5) {\huge hi};")
Plots._update_plot_object(pl)
axes = Plots.pgfx_axes(pl.o)
@test filter(x -> x isa String, axes[1].contents)[1] ==
raw"\node at (0,0.5) {\huge hi};"
plot!(pl)
@test pl[1][:extra_kwargs] == Dict(:add => raw"\node at (0,0.5) {\huge hi};")
Plots._update_plot_object(pl)
axes = Plots.pgfx_axes(pl.o)
@test filter(x -> x isa String, axes[1].contents)[1] ==
raw"\node at (0,0.5) {\huge hi};"
pl = plot(1:5, test = "me")
@test pl[1][1].plotattributes[:extra_kwargs][:test] == "me"
pl = plot(1:5, test = "me", extra_kwargs = :subplot)
@test pl[1].attr[:extra_kwargs][:test] == "me"
pl = plot(1:5, test = "me", extra_kwargs = :plot)
@test pl.attr[:extra_plot_kwargs][:test] == "me"
pl = plot(
1:5,
extra_kwargs = Dict(
:plot => Dict(:test => "me"),
:series => Dict(:and => "me too"),
),
)
@test pl.attr[:extra_plot_kwargs][:test] == "me"
@test pl[1][1].plotattributes[:extra_kwargs][:and] == "me too"
pl = plot(
plot(1:5, title = "Line"),
scatter(
1:5,
title = "Scatter",
extra_kwargs = Dict(:subplot => Dict("axis line shift" => "10pt")),
),
)
Plots._update_plot_object(pl)
axes = Plots.pgfx_axes(pl.o)
@test !haskey(axes[1].options.dict, "axis line shift")
@test haskey(axes[2].options.dict, "axis line shift")
pl =
plot(x -> x, -1:1; add = raw"\node at (0,0.5) {\huge hi};", extra_kwargs = :subplot)
@test pl[1][:extra_kwargs] == Dict(:add => raw"\node at (0,0.5) {\huge hi};")
Plots._update_plot_object(pl)
axes = Plots.pgfx_axes(pl.o)
@test filter(x -> x isa String, axes[1].contents)[1] ==
raw"\node at (0,0.5) {\huge hi};"
plot!(pl)
@test pl[1][:extra_kwargs] == Dict(:add => raw"\node at (0,0.5) {\huge hi};")
Plots._update_plot_object(pl)
axes = Plots.pgfx_axes(pl.o)
@test filter(x -> x isa String, axes[1].contents)[1] ==
raw"\node at (0,0.5) {\huge hi};"
end # testset
@testset "Titlefonts" begin
pl = plot(1:5, title = "Test me", titlefont = (2, :left))
@test pl[1][:title] == "Test me"
@test pl[1][:titlefontsize] == 2
@test pl[1][:titlefonthalign] == :left
Plots._update_plot_object(pl)
ax_opt = Plots.pgfx_axes(pl.o)[1].options
@test ax_opt["title"] == "Test me"
@test(haskey(ax_opt.dict, "title style")) isa Test.Pass
pl = plot(1:5, plot_title = "Test me", plot_titlefont = (2, :left))
@test pl[:plot_title] == "Test me"
@test pl[:plot_titlefontsize] == 2
@test pl[:plot_titlefonthalign] == :left
pl = heatmap(
rand(3, 3),
colorbar_title = "Test me",
colorbar_titlefont = (12, :right),
)
@test pl[1][:colorbar_title] == "Test me"
@test pl[1][:colorbar_titlefontsize] == 12
@test pl[1][:colorbar_titlefonthalign] == :right
pl = plot(1:5, title = "Test me", titlefont = (2, :left))
@test pl[1][:title] == "Test me"
@test pl[1][:titlefontsize] == 2
@test pl[1][:titlefonthalign] == :left
Plots._update_plot_object(pl)
ax_opt = Plots.pgfx_axes(pl.o)[1].options
@test ax_opt["title"] == "Test me"
@test(haskey(ax_opt.dict, "title style")) isa Test.Pass
pl = plot(1:5, plot_title = "Test me", plot_titlefont = (2, :left))
@test pl[:plot_title] == "Test me"
@test pl[:plot_titlefontsize] == 2
@test pl[:plot_titlefonthalign] == :left
pl = heatmap(rand(3, 3), colorbar_title = "Test me", colorbar_titlefont = (12, :right))
@test pl[1][:colorbar_title] == "Test me"
@test pl[1][:colorbar_titlefontsize] == 12
@test pl[1][:colorbar_titlefonthalign] == :right
end # testset
+2 -2
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@@ -11,8 +11,8 @@ using RecipesPipeline
end
@testset "get_axis_limits" begin
x = [.1, 5]
p1 = plot(x, [5, .1], yscale=:log10)
x = [0.1, 5]
p1 = plot(x, [5, 0.1], yscale = :log10)
p2 = plot!(identity)
@test all(RecipesPipeline.get_axis_limits(p1, :x) .== x)
@test all(RecipesPipeline.get_axis_limits(p2, :x) .== x)
+15 -15
View File
@@ -3,27 +3,27 @@ using OffsetArrays
@testset "lens!" begin
pl = plot(1:5)
lens!(pl, [1,2], [1,2], inset = (1, bbox(0.0,0.0,0.2,0.2)), colorbar = false)
lens!(pl, [1, 2], [1, 2], inset = (1, bbox(0.0, 0.0, 0.2, 0.2)), colorbar = false)
@test length(pl.series_list) == 4
@test pl[2][:colorbar] == :none
end # testset
@testset "vline, vspan" begin
vl = vline([1], widen = false)
@test Plots.xlims(vl) == (1,2)
@test Plots.ylims(vl) == (1,2)
vl = vline([1], xlims=(0,2), widen = false)
@test Plots.xlims(vl) == (0,2)
vl = vline([1], ylims=(-3,5), widen = false)
@test Plots.ylims(vl) == (-3,5)
@test Plots.xlims(vl) == (1, 2)
@test Plots.ylims(vl) == (1, 2)
vl = vline([1], xlims = (0, 2), widen = false)
@test Plots.xlims(vl) == (0, 2)
vl = vline([1], ylims = (-3, 5), widen = false)
@test Plots.ylims(vl) == (-3, 5)
vsp = vspan([1,3], widen = false)
@test Plots.xlims(vsp) == (1,3)
@test Plots.ylims(vsp) == (0,1) # TODO: might be problematic on log-scales
vsp = vspan([1,3], xlims=(-2,5), widen = false)
@test Plots.xlims(vsp) == (-2,5)
vsp = vspan([1,3], ylims=(-2,5), widen = false)
@test Plots.ylims(vsp) == (-2,5)
vsp = vspan([1, 3], widen = false)
@test Plots.xlims(vsp) == (1, 3)
@test Plots.ylims(vsp) == (0, 1) # TODO: might be problematic on log-scales
vsp = vspan([1, 3], xlims = (-2, 5), widen = false)
@test Plots.xlims(vsp) == (-2, 5)
vsp = vspan([1, 3], ylims = (-2, 5), widen = false)
@test Plots.ylims(vsp) == (-2, 5)
end # testset
@testset "offset axes" begin
@@ -46,4 +46,4 @@ end
prevha = ha
end
end
end
end
+21 -21
View File
@@ -4,45 +4,45 @@ using Plots, Test
@testset "Set Lims" begin
p = plot(rand(10))
xlims!((1,20))
@test xlims(p) == (1,20)
xlims!((1, 20))
@test xlims(p) == (1, 20)
ylims!((-1,1))
@test ylims(p) == (-1,1)
ylims!((-1, 1))
@test ylims(p) == (-1, 1)
zlims!((-1,1))
@test zlims(p) == (-1,1)
zlims!((-1, 1))
@test zlims(p) == (-1, 1)
xlims!(-1,11)
@test xlims(p) == (-1,11)
xlims!(-1, 11)
@test xlims(p) == (-1, 11)
ylims!((-10,10))
@test ylims(p) == (-10,10)
ylims!((-10, 10))
@test ylims(p) == (-10, 10)
zlims!((-10,10))
@test zlims(p) == (-10,10)
zlims!((-10, 10))
@test zlims(p) == (-10, 10)
end
@testset "Set Ticks" begin
p = plot([0,2,3,4,5,6,7,8,9,10])
p = plot([0, 2, 3, 4, 5, 6, 7, 8, 9, 10])
xticks = 2:6
xticks!(xticks)
@test Plots.get_subplot(current(),1).attr[:xaxis][:ticks] == xticks
@test Plots.get_subplot(current(), 1).attr[:xaxis][:ticks] == xticks
yticks = 0.2:0.1:0.7
yticks!(yticks)
@test Plots.get_subplot(current(),1).attr[:yaxis][:ticks] == yticks
@test Plots.get_subplot(current(), 1).attr[:yaxis][:ticks] == yticks
xticks = [5,6,7.5]
xlabels = ["a","b","c"]
xticks = [5, 6, 7.5]
xlabels = ["a", "b", "c"]
xticks!(xticks, xlabels)
@test Plots.get_subplot(current(),1).attr[:xaxis][:ticks] == (xticks, xlabels)
@test Plots.get_subplot(current(), 1).attr[:xaxis][:ticks] == (xticks, xlabels)
yticks = [.5,.6,.75]
ylabels = ["z","y","x"]
yticks = [0.5, 0.6, 0.75]
ylabels = ["z", "y", "x"]
yticks!(yticks, ylabels)
@test Plots.get_subplot(current(),1).attr[:yaxis][:ticks] == (yticks, ylabels)
@test Plots.get_subplot(current(), 1).attr[:yaxis][:ticks] == (yticks, ylabels)
end
end