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Author SHA1 Message Date
Sebastian Micluța-Câmpeanu 36176c0646 Add finalize_subplot! 2020-03-15 01:36:29 +02:00
Sebastian Micluța-Câmpeanu eb72e50a3a Fix typo
_process_userrecipes now calls the correct _process_userrecipe
2020-03-15 01:05:15 +02:00
Daniel SchwabenederandGitHub f0848e196b Merge pull request #2458 from JuliaPlots/bbs/interface-refactor
implement the recipe_pipeline
2020-03-14 23:23:25 +01:00
Daniel SchwabenederandGitHub c31654a520 Merge pull request #2461 from SebastianM-C/recipeutils
Continue Recipeutils integration
2020-03-14 23:18:36 +01:00
Sebastian Micluța-Câmpeanu 4fab583c02 rename 2020-03-15 00:12:39 +02:00
Sebastian Micluța-Câmpeanu fb82e6c2a5 Rename _typeAliases to type_aliases 2020-03-14 22:41:52 +02:00
Sebastian Micluța-Câmpeanu 6aa4c4ee7f Disable precompile file for now 2020-03-14 21:27:32 +02:00
Sebastian Micluța-Câmpeanu 37391f2843 Add _recipe_before_series 2020-03-14 21:27:12 +02:00
Simon Christ 9dcc710f66 [skip ci]
more bangs
2020-03-14 17:38:43 +01:00
Simon Christ 9b3c676cd0 delete _plot! 2020-03-14 17:30:02 +01:00
Simon Christ 1ffda51619 add bangs 2020-03-14 17:26:52 +01:00
Simon Christ a9d32ccaf5 implement the recipe_pipeline 2020-03-14 16:57:19 +01:00
Michael Krabbe Borregaard dee4a7421d add function stubs from recipeutils 2020-03-14 14:57:26 +01:00
Michael Krabbe BorregaardandGitHub 8d90546056 Merge pull request #2457 from JuliaPlots/as/maketraviswork
Manually add the unregistered package in Travis
2020-03-14 14:18:40 +01:00
Michael Krabbe Borregaard d507ea9ab6 Move out three functions 2020-03-14 13:53:36 +01:00
Anshul SinghviandGitHub 2731b6a945 Manually add the unregistered package in Travis 2020-03-14 18:19:29 +05:30
Michael Krabbe Borregaard c720a79ca3 depend on recipeutils 2020-03-14 13:47:17 +01:00
8 changed files with 348 additions and 294 deletions
+1 -1
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@@ -34,7 +34,7 @@ UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
[compat]
Contour = "0.5"
FFMPEG = "0.2, 0.3"
FixedPointNumbers = "0.6, 0.7"
FixedPointNumbers = "0.6, 0.7, 0.8"
GR = "0.46, 0.47, 0.48"
GeometryTypes = "0.7, 0.8"
JSON = "0.21"
+7 -25
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@@ -18,31 +18,13 @@ using Base.Meta
import Showoff
import StatsBase
import JSON
import RecipePipeline:
_process_userrecipe,
_process_plotrecipe,
_process_seriesrecipe,
_preprocess_args,
preprocessArgs!,
is_st_supported,
finalize_subplot!,
recipe_pipeline!,
_recipe_init!,
_recipe_after_user!,
_recipe_after_plot!,
_recipe_before_series!,
_recipe_finish!,
is_st_supported,
Formatted,
SliceIt,
FuncOrFuncs,
MaybeNumber,
MaybeString,
DataPoint,
trueOrAllTrue,
Surface,
AbstractSurface,
Volume
import RecipePipeline: _process_userrecipe, _process_plotrecipe,
_process_seriesrecipe, _preprocess_args,
preprocessArgs!, is_st_supported,
finalize_subplot!, recipe_pipeline!,
_recipe_init!, _recipe_after_user!,
_recipe_after_plot!, _recipe_before_series!,
_recipe_finish!
using Requires
+48
View File
@@ -650,6 +650,23 @@ end
# -----------------------------------------------------------------------
abstract type AbstractSurface end
"represents a contour or surface mesh"
struct Surface{M<:AMat} <: AbstractSurface
surf::M
end
Surface(f::Function, x, y) = Surface(Float64[f(xi,yi) for yi in y, xi in x])
Base.Array(surf::Surface) = surf.surf
for f in (:length, :size)
@eval Base.$f(surf::Surface, args...) = $f(surf.surf, args...)
end
Base.copy(surf::Surface) = Surface(copy(surf.surf))
Base.eltype(surf::Surface{T}) where {T} = eltype(T)
function expand_extrema!(a::Axis, surf::Surface)
ex = a[:extrema]
for vi in surf.surf
@@ -669,6 +686,30 @@ end
# # I don't want to clash with ValidatedNumerics, but this would be nice:
# ..(a::T, b::T) = (a,b)
struct Volume{T}
v::Array{T,3}
x_extents::Tuple{T,T}
y_extents::Tuple{T,T}
z_extents::Tuple{T,T}
end
default_extents(::Type{T}) where {T} = (zero(T), one(T))
function Volume(v::Array{T,3},
x_extents = default_extents(T),
y_extents = default_extents(T),
z_extents = default_extents(T)) where T
Volume(v, x_extents, y_extents, z_extents)
end
Base.Array(vol::Volume) = vol.v
for f in (:length, :size)
@eval Base.$f(vol::Volume, args...) = $f(vol.v, args...)
end
Base.copy(vol::Volume{T}) where {T} = Volume{T}(copy(vol.v), vol.x_extents, vol.y_extents, vol.z_extents)
Base.eltype(vol::Volume{T}) where {T} = T
# -----------------------------------------------------------------------
# style is :open or :closed (for now)
struct Arrow
@@ -730,6 +771,13 @@ function add_arrows(func::Function, x::AVec, y::AVec)
end
end
# -----------------------------------------------------------------------
"Represents data values with formatting that should apply to the tick labels."
struct Formatted{T}
data::T
formatter::Function
end
# -----------------------------------------------------------------------
"create a BezierCurve for plotting"
+2 -2
View File
@@ -1,3 +1,4 @@
function finalize_subplot!(plt::Plot, st, plotattributes::AKW)
sp = _prepare_subplot(plt, plotattributes)
_prepare_annotations(sp, plotattributes)
@@ -6,8 +7,7 @@ function finalize_subplot!(plt::Plot, st, plotattributes::AKW)
_add_the_series(plt, sp, plotattributes)
end
# Override the RecipesPipeline `is_st_supported` for Plots.
is_st_supported(::Plot, st::Symbol) = is_seriestype_supported(st)
is_st_supported(st::Symbol) = is_seriestype_supported(st)
# ------------------------------------------------------------------
# preprocessing
-5
View File
@@ -182,11 +182,6 @@ function _recipe_after_plot!(plt::Plot, plotattributes::AKW, kw_list::Vector{KW}
_subplot_setup(plt, plotattributes, kw_list)
end
function _recipe_after_user!(plt::Plot, plotattributes::AKW, kw_list::Vector{KW})
# don't allow something else to handle it
plotattributes[:smooth] = false
end
function _recipe_before_series!(plt::Plot, kw, kw_list)
sp::Subplot = kw[:subplot]
+132
View File
@@ -1,4 +1,71 @@
# create a new "build_series_args" which converts all inputs into xs = Any[xitems], ys = Any[yitems].
# Special handling for: no args, xmin/xmax, parametric, dataframes
# Then once inputs have been converted, build the series args, map functions, etc.
# This should cut down on boilerplate code and allow more focused dispatch on type
# note: returns meta information... mainly for use with automatic labeling from DataFrames for now
const FuncOrFuncs{F} = Union{F, Vector{F}, Matrix{F}}
const MaybeNumber = Union{Number, Missing}
const MaybeString = Union{AbstractString, Missing}
const DataPoint = Union{MaybeNumber, MaybeString}
prepareSeriesData(x) = error("Cannot convert $(typeof(x)) to series data for plotting")
prepareSeriesData(::Nothing) = nothing
prepareSeriesData(t::Tuple{T, T}) where {T<:Number} = t
prepareSeriesData(f::Function) = f
prepareSeriesData(a::AbstractArray{<:MaybeNumber}) = replace!(
x -> ismissing(x) || isinf(x) ? NaN : x,
map(float,a))
prepareSeriesData(a::AbstractArray{<:MaybeString}) = replace(x -> ismissing(x) ? "" : x, a)
prepareSeriesData(s::Surface{<:AMat{<:MaybeNumber}}) = Surface(prepareSeriesData(s.surf))
prepareSeriesData(s::Surface) = s # non-numeric Surface, such as an image
prepareSeriesData(v::Volume) = Volume(prepareSeriesData(v.v), v.x_extents, v.y_extents, v.z_extents)
# default: assume x represents a single series
convertToAnyVector(x, plotattributes) = Any[prepareSeriesData(x)]
# fixed number of blank series
convertToAnyVector(n::Integer, plotattributes) = Any[zeros(0) for i in 1:n]
# vector of data points is a single series
convertToAnyVector(v::AVec{<:DataPoint}, plotattributes) = Any[prepareSeriesData(v)]
# list of things (maybe other vectors, functions, or something else)
function convertToAnyVector(v::AVec, plotattributes)
if all(x -> x isa MaybeNumber, v)
convertToAnyVector(Vector{MaybeNumber}(v), plotattributes)
elseif all(x -> x isa MaybeString, v)
convertToAnyVector(Vector{MaybeString}(v), plotattributes)
else
vcat((convertToAnyVector(vi, plotattributes) for vi in v)...)
end
end
# Matrix is split into columns
function convertToAnyVector(v::AMat{<:DataPoint}, plotattributes)
if all3D(plotattributes)
Any[prepareSeriesData(Surface(v))]
else
Any[prepareSeriesData(v[:, i]) for i in axes(v, 2)]
end
end
# --------------------------------------------------------------------
# Fillranges & ribbons
process_fillrange(range::Number, plotattributes) = [range]
process_fillrange(range, plotattributes) = convertToAnyVector(range, plotattributes)
process_ribbon(ribbon::Number, plotattributes) = [ribbon]
process_ribbon(ribbon, plotattributes) = convertToAnyVector(ribbon, plotattributes)
# ribbon as a tuple: (lower_ribbons, upper_ribbons)
process_ribbon(ribbon::Tuple{Any,Any}, plotattributes) = collect(zip(convertToAnyVector(ribbon[1], plotattributes),
convertToAnyVector(ribbon[2], plotattributes)))
# --------------------------------------------------------------------
# TODO: can we avoid the copy here? one error that crops up is that mapping functions over the same array
@@ -40,6 +107,70 @@ compute_xyz(x::Nothing, y::Nothing, z::Nothing) = error("x/y/z are all no
# we are going to build recipes to do the processing and splitting of the args
# ensure we dispatch to the slicer
struct SliceIt end
# the catch-all recipes
@recipe function f(::Type{SliceIt}, x, y, z)
# handle data with formatting attached
if typeof(x) <: Formatted
xformatter := x.formatter
x = x.data
end
if typeof(y) <: Formatted
yformatter := y.formatter
y = y.data
end
if typeof(z) <: Formatted
zformatter := z.formatter
z = z.data
end
xs = convertToAnyVector(x, plotattributes)
ys = convertToAnyVector(y, plotattributes)
zs = convertToAnyVector(z, plotattributes)
fr = pop!(plotattributes, :fillrange, nothing)
fillranges = process_fillrange(fr, plotattributes)
mf = length(fillranges)
rib = pop!(plotattributes, :ribbon, nothing)
ribbons = process_ribbon(rib, plotattributes)
mr = length(ribbons)
# @show zs
mx = length(xs)
my = length(ys)
mz = length(zs)
if mx > 0 && my > 0 && mz > 0
for i in 1:max(mx, my, mz)
# add a new series
di = copy(plotattributes)
xi, yi, zi = xs[mod1(i,mx)], ys[mod1(i,my)], zs[mod1(i,mz)]
di[:x], di[:y], di[:z] = compute_xyz(xi, yi, zi)
# handle fillrange
fr = fillranges[mod1(i,mf)]
di[:fillrange] = isa(fr, Function) ? map(fr, di[:x]) : fr
# handle ribbons
rib = ribbons[mod1(i,mr)]
di[:ribbon] = isa(rib, Function) ? map(rib, di[:x]) : rib
push!(series_list, RecipeData(di, ()))
end
end
nothing # don't add a series for the main block
end
# this is the default "type recipe"... just pass the object through
@recipe f(::Type{T}, v::T) where {T<:Any} = v
# this should catch unhandled "series recipes" and error with a nice message
@recipe f(::Type{V}, x, y, z) where {V<:Val} = error("The backend must not support the series type $V, and there isn't a series recipe defined.")
_apply_type_recipe(plotattributes, v) = RecipesBase.apply_recipe(plotattributes, typeof(v), v)[1].args[1]
@@ -147,6 +278,7 @@ end
@recipe f(n::Integer) = is3d(get(plotattributes,:seriestype,:path)) ? (SliceIt, n, n, n) : (SliceIt, n, n, nothing)
all3D(plotattributes) = trueOrAllTrue(st -> st in (:contour, :contourf, :heatmap, :surface, :wireframe, :contour3d, :image, :plots_heatmap), get(plotattributes, :seriestype, :none))
# return a surface if this is a 3d plot, otherwise let it be sliced up
@recipe function f(mat::AMat{T}) where T<:Union{Integer,AbstractFloat,Missing}
+3
View File
@@ -717,6 +717,9 @@ makekw(; kw...) = KW(kw)
wraptuple(x::Tuple) = x
wraptuple(x) = (x,)
trueOrAllTrue(f::Function, x::AbstractArray) = all(f, x)
trueOrAllTrue(f::Function, x) = f(x)
allLineTypes(arg) = trueOrAllTrue(a -> get(_typeAliases, a, a) in _allTypes, arg)
allStyles(arg) = trueOrAllTrue(a -> get(_styleAliases, a, a) in _allStyles, arg)
allShapes(arg) = trueOrAllTrue(a -> is_marker_supported(get(_markerAliases, a, a)), arg) ||
+155 -261
View File
@@ -1,272 +1,166 @@
using Plots, Test
pgfplotsx()
function create_plot(args...; kwargs...)
pgfx_plot = plot(args...; kwargs...)
return pgfx_plot, repr("application/x-tex", pgfx_plot)
function create_plot( args...; kwargs... )
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)
function create_plot!( args...; kwargs... )
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 "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 = (:heat, 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"] == 1
end # testset
@testset "Plot in pieces" begin
plot(rand(100) / 3, reg = true, fill = (0, :green))
scatter!(rand(100), markersize = 6, c = :orange)
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 :heat :lightrainbow],
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=(:heat, 0.8, Plots.stroke(1, :green)), ms=10 * abs.(y .- 0.5) .+ 4, lab="grad")
Plots._update_plot_object(pl)
axis = Plots.pgfx_axes(pl.o)[1]
@test count( x->x isa PGFPlotsX.LegendEntry, axis.contents ) == 5
@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"] == 1
end # testset
@testset "Plot in pieces" begin
plot(rand(100) / 3, reg=true, fill=(0, :green))
scatter!(rand(100), markersize=6, c=:orange)
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 :heat :lightrainbow], 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
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 = :bluesreds,
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)
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=:bluesreds, 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)
plot(
y,
annotations = (3, y[3], Plots.text("this is \\#3", :left)),
leg = false,
)
annotate!([
(5, y[5], Plots.text("this is \\#5", 16, :red, :center)),
(10, y[10], Plots.text("this is \\#10", :right, 20, "courier")),
])
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),
],
)
# mktempdir() do path
# @test_nowarn savefig(annotation_plot, path*"annotation.pdf")
# 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) == 4
@test !haskey(plots[1].options.dict, "fill")
@test !haskey(plots[2].options.dict, "fill")
@test !haskey(plots[3].options.dict, "fill")
@test haskey(plots[4].options.dict, "fill")
@test ribbon_plot.o !== nothing
@test ribbon_plot.o.the_plot !== nothing
# mktempdir() do path
# @test_nowarn savefig(ribbon_plot, path*"ribbon.svg")
# end
end # testset
end # testset
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)
plot(y, annotations=(3, y[3], Plots.text("this is \\#3", :left)), leg=false)
annotate!([(5, y[5], Plots.text("this is \\#5", 16, :red, :center)), (10, y[10], Plots.text("this is \\#10", :right, 20, "courier"))])
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)])
# mktempdir() do path
# @test_nowarn savefig(annotation_plot, path*"annotation.pdf")
# 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) == 4
@test !haskey(plots[1].options.dict, "fill")
@test !haskey(plots[2].options.dict, "fill")
@test !haskey(plots[3].options.dict, "fill")
@test haskey(plots[4].options.dict, "fill")
@test ribbon_plot.o !== nothing
@test ribbon_plot.o.the_plot !== nothing
# mktempdir() do path
# @test_nowarn savefig(ribbon_plot, path*"ribbon.svg")
# end
end # testset
end # testset