Compare commits

..

9 Commits

Author SHA1 Message Date
Chris Rackauckas 5a1fe30567 a bunch of refactors 2019-08-24 03:54:02 -04:00
Chris Rackauckas db685b6ee0 more noinline 2019-08-24 01:17:47 -04:00
Chris Rackauckas fcb9078838 some more noinline 2019-08-24 01:08:14 -04:00
Chris Rackauckas 3310025602 some noinlines 2019-08-24 00:59:19 -04:00
Chris Rackauckas 122a470078 some more plot time decrease 2019-08-24 00:30:23 -04:00
Chris Rackauckas bb0b6e5d33 Vector{Any} 2019-08-21 13:05:29 -04:00
Chris Rackauckas 7185e36795 More type information 2019-08-21 12:39:19 -04:00
Chris Rackauckas d111c2ba91 reduce some inlining and better type information 2019-08-21 12:02:25 -04:00
Chris Rackauckas 5dff00e2a3 start first time to plot investigation 2019-08-21 09:02:10 -04:00
23 changed files with 953 additions and 934 deletions
+4 -13
View File
@@ -6,14 +6,10 @@ os:
julia:
- 1.1
- nightly
addons:
apt:
packages:
- at-spi2-core
- libgtk-3-dev
- xauth
- xvfb
matrix:
allow_failures:
- julia: nightly
sudo: required
before_install:
@@ -22,8 +18,3 @@ before_install:
notifications:
email: true
script:
- if [[ -a .git/shallow ]]; then git fetch --unshallow; fi
- if [[ `uname` = "Linux" ]]; then TESTCMD="xvfb-run julia"; else TESTCMD="julia"; fi
- $TESTCMD -e 'using Pkg; Pkg.build(); Pkg.test(coverage=true)'
-9
View File
@@ -11,15 +11,6 @@
---
## (current master)
## 0.26.3
- fix `vline` with dates
- fix PyPlot logscale bug
- avoid annotation clipping for PyPlot
- allow plotting of Any vectors and 3D plotting again in convertToAnyVector
- specify legend title font in GR and PyPlot
- delete `pushtomaster.sh`
- use `=== nothing`
## 0.26.2
- improve empty animation build error
- fix GR axis flip for heatmaps and images
+5 -6
View File
@@ -1,7 +1,7 @@
name = "Plots"
uuid = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
author = ["Tom Breloff (@tbreloff)"]
version = "0.27.0"
version = "0.26.2"
[deps]
Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
@@ -34,25 +34,24 @@ UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
FixedPointNumbers = "≥ 0.3.0"
GR = "≥ 0.31.0"
PlotThemes = "≥ 0.1.3"
PlotUtils = "≥ 0.6.0"
PlotUtils = "≥ 0.4.1"
RecipesBase = "≥ 0.6.0"
StatsBase = "≥ 0.14.0"
julia = "≥ 1.0.0"
[extras]
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
GeometryTypes = "4d00f742-c7ba-57c2-abde-4428a4b178cb"
Gtk = "4c0ca9eb-093a-5379-98c5-f87ac0bbbf44"
ImageMagick = "6218d12a-5da1-5696-b52f-db25d2ecc6d1"
Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
LibGit2 = "76f85450-5226-5b5a-8eaa-529ad045b433"
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
VisualRegressionTests = "34922c18-7c2a-561c-bac1-01e79b2c4c92"
BinaryProvider = "b99e7846-7c00-51b0-8f62-c81ae34c0232"
[targets]
test = ["FileIO", "GeometryTypes", "Gtk", "ImageMagick", "Images", "LaTeXStrings", "LibGit2", "Random", "RDatasets", "StatsPlots", "Test", "UnicodePlots", "VisualRegressionTests"]
test = ["BinaryProvider", "Pkg", "Test", "Random", "StatsPlots", "VisualRegressionTests", "LaTeXStrings", "Images", "ImageMagick", "RDatasets", "FileIO", "UnicodePlots"]
+4
View File
@@ -0,0 +1,4 @@
git checkout master
git merge --ff-only dev
git push origin master
git checkout dev
+3 -2
View File
@@ -1,6 +1,6 @@
module Plots
const _current_plots_version = VersionNumber(split(first(filter(line -> occursin("version", line), readlines(normpath(@__DIR__, "..", "Project.toml")))), "\"")[2])
_current_plots_version = v"0.26.1"
using Reexport
@@ -220,6 +220,7 @@ end
# ---------------------------------------------------------
const CURRENT_BACKEND = CurrentBackend(:none)
const CURRENT_BACKEND = Plots.CurrentBackend(:gr)
gr()
end # module
+1 -8
View File
@@ -1,5 +1,5 @@
const _arg_desc = KW(
const _arg_desc = Dict{Symbol,String}(
# series args
:label => "String type. The label for a series, which appears in a legend. If empty, no legend entry is added.",
@@ -95,16 +95,9 @@ const _arg_desc = KW(
:legendfontvalign => "Symbol. Font vertical alignment of legend entries: :vcenter, :top, :bottom or :center",
:legendfontrotation => "Real. Font rotation of legend entries",
:legendfontcolor => "Color Type. Font color of legend entries",
:legendtitlefontfamily => "String or Symbol. Font family of the legend title.",
:legendtitlefontsize => "Integer. Font pointsize the legend title.",
:legendtitlefonthalign => "Symbol. Font horizontal alignment of the legend title: :hcenter, :left, :right or :center",
:legendtitlefontvalign => "Symbol. Font vertical alignment of the legend title: :vcenter, :top, :bottom or :center",
:legendtitlefontrotation => "Real. Font rotation of the legend title",
:legendtitlefontcolor => "Color Type. Font color of the legend title",
:colorbar => "Bool (show the colorbar?) or Symbol (colorbar position). Symbol values: `:none`, `:best`, `:right`, `:left`, `:top`, `:bottom`, `:legend` (matches legend value) (note: only some may be supported in each backend)",
:clims => "`:auto` or NTuple{2,Number}. Fixes the limits of the colorbar.",
:legendfont => "Font. Font of legend items.",
:legendtitlefont => "Font. Font of the legend title.",
:annotations => "(x,y,text) tuple(s). Can be a single tuple or a list of them. Text can be String or PlotText (created with `text(args...)`) Add one-off text annotations at the x,y coordinates.",
:projection => "Symbol or String. '3d' or 'polar'",
:aspect_ratio => "Symbol (:equal) or Number. Plot area is resized so that 1 y-unit is the same size as `aspect_ratio` x-units.",
+51 -69
View File
@@ -2,7 +2,7 @@
const _keyAliases = Dict{Symbol,Symbol}()
function add_aliases(sym::Symbol, aliases::Symbol...)
@noinline function add_aliases(sym::Symbol, aliases::Symbol...)
for alias in aliases
if haskey(_keyAliases, alias)
error("Already an alias $alias => $(_keyAliases[alias])... can't also alias $sym")
@@ -11,7 +11,7 @@ function add_aliases(sym::Symbol, aliases::Symbol...)
end
end
function add_non_underscore_aliases!(aliases::Dict{Symbol,Symbol})
@noinline function add_non_underscore_aliases!(aliases::Dict{Symbol,Symbol})
for (k,v) in aliases
s = string(k)
if '_' in s
@@ -84,17 +84,17 @@ const _histogram_like = [:histogram, :barhist, :barbins]
const _line_like = [:line, :path, :steppre, :steppost]
const _surface_like = [:contour, :contourf, :contour3d, :heatmap, :surface, :wireframe, :image]
like_histogram(seriestype::Symbol) = seriestype in _histogram_like
like_line(seriestype::Symbol) = seriestype in _line_like
like_surface(seriestype::Symbol) = seriestype in _surface_like
@noinline like_histogram(seriestype::Symbol) = seriestype in _histogram_like
@noinline like_line(seriestype::Symbol) = seriestype in _line_like
@noinline like_surface(seriestype::Symbol) = seriestype in _surface_like
is3d(seriestype::Symbol) = seriestype in _3dTypes
is3d(series::Series) = is3d(series.plotattributes)
is3d(plotattributes::KW) = trueOrAllTrue(is3d, Symbol(plotattributes[:seriestype]))
@noinline is3d(seriestype::Symbol) = seriestype in _3dTypes
@noinline is3d(series::Series) = is3d(series.plotattributes)
@noinline is3d(plotattributes::KW) = trueOrAllTrue(is3d, Symbol(plotattributes[:seriestype]))
is3d(sp::Subplot) = string(sp.attr[:projection]) == "3d"
ispolar(sp::Subplot) = string(sp.attr[:projection]) == "polar"
ispolar(series::Series) = ispolar(series.plotattributes[:subplot])
@noinline is3d(sp::Subplot) = string(sp.attr[:projection]) == "3d"
@noinline ispolar(sp::Subplot) = string(sp.attr[:projection]) == "polar"
@noinline ispolar(series::Series) = ispolar(series.plotattributes[:subplot])
# ------------------------------------------------------------
@@ -188,9 +188,9 @@ const _allGridSyms = [:x, :y, :z,
:all, :both, :on, :yes, :show,
:none, :off, :no, :hide]
const _allGridArgs = [_allGridSyms; string.(_allGridSyms); nothing]
hasgrid(arg::Nothing, letter) = false
hasgrid(arg::Bool, letter) = arg
function hasgrid(arg::Symbol, letter)
@noinline hasgrid(arg::Nothing, letter) = false
@noinline hasgrid(arg::Bool, letter) = arg
@noinline function hasgrid(arg::Symbol, letter)
if arg in _allGridSyms
arg in (:all, :both, :on) || occursin(string(letter), string(arg))
else
@@ -198,7 +198,7 @@ function hasgrid(arg::Symbol, letter)
true
end
end
hasgrid(arg::AbstractString, letter) = hasgrid(Symbol(arg), letter)
@noinline hasgrid(arg::AbstractString, letter) = hasgrid(Symbol(arg), letter)
const _allShowaxisSyms = [:x, :y, :z,
:xy, :xz, :yx, :yz, :zx, :zy,
@@ -206,9 +206,9 @@ const _allShowaxisSyms = [:x, :y, :z,
:all, :both, :on, :yes, :show,
:off, :no, :hide]
const _allShowaxisArgs = [_allGridSyms; string.(_allGridSyms)]
showaxis(arg::Nothing, letter) = false
showaxis(arg::Bool, letter) = arg
function showaxis(arg::Symbol, letter)
@noinline showaxis(arg::Nothing, letter) = false
@noinline showaxis(arg::Bool, letter) = arg
@noinline function showaxis(arg::Symbol, letter)
if arg in _allGridSyms
arg in (:all, :both, :on, :yes) || occursin(string(letter), string(arg))
else
@@ -216,7 +216,7 @@ function showaxis(arg::Symbol, letter)
true
end
end
showaxis(arg::AbstractString, letter) = hasgrid(Symbol(arg), letter)
@noinline showaxis(arg::AbstractString, letter) = hasgrid(Symbol(arg), letter)
const _allFramestyles = [:box, :semi, :axes, :origin, :zerolines, :grid, :none]
const _framestyleAliases = Dict{Symbol, Symbol}(
@@ -336,12 +336,6 @@ const _subplot_defaults = KW(
:legendfontvalign => :vcenter,
:legendfontrotation => 0.0,
:legendfontcolor => :match,
:legendtitlefontfamily => :match,
:legendtitlefontsize => 11,
:legendtitlefonthalign => :hcenter,
:legendtitlefontvalign => :vcenter,
:legendtitlefontrotation => 0.0,
:legendtitlefontcolor => :match,
:annotations => [], # annotation tuples... list of (x,y,annotation)
:projection => :none, # can also be :polar or :3d
:aspect_ratio => :none, # choose from :none or :equal
@@ -454,9 +448,8 @@ const _initial_defaults = deepcopy(_all_defaults)
const _initial_axis_defaults = deepcopy(_axis_defaults)
# to be able to reset font sizes to initial values
const _initial_fontsizes = Dict(:titlefontsize => _subplot_defaults[:titlefontsize],
const _initial_fontsizes = Dict{Any,Any}(:titlefontsize => _subplot_defaults[:titlefontsize],
:legendfontsize => _subplot_defaults[:legendfontsize],
:legendtitlefontsize => _subplot_defaults[:legendtitlefontsize],
:tickfontsize => _axis_defaults[:tickfontsize],
:guidefontsize => _axis_defaults[:guidefontsize])
@@ -466,15 +459,15 @@ RecipesBase.is_key_supported(k::Symbol) = is_attr_supported(k)
# -----------------------------------------------------------------------------
makeplural(s::Symbol) = Symbol(string(s,"s"))
@noinline makeplural(s::Symbol) = Symbol(string(s,"s"))
autopick(arr::AVec, idx::Integer) = arr[mod1(idx,length(arr))]
autopick(notarr, idx::Integer) = notarr
@noinline autopick(arr::AVec, idx::Integer) = arr[mod1(idx,length(arr))]
@noinline autopick(notarr, idx::Integer) = notarr
autopick_ignore_none_auto(arr::AVec, idx::Integer) = autopick(setdiff(arr, [:none, :auto]), idx)
autopick_ignore_none_auto(notarr, idx::Integer) = notarr
@noinline autopick_ignore_none_auto(arr::AVec, idx::Integer) = autopick(setdiff(arr, [:none, :auto]), idx)
@noinline autopick_ignore_none_auto(notarr, idx::Integer) = notarr
function aliasesAndAutopick(plotattributes::KW, sym::Symbol, aliases::Dict{Symbol,Symbol}, options::AVec, plotIndex::Int)
@noinline function aliasesAndAutopick(plotattributes::KW, sym::Symbol, aliases::Dict{Symbol,Symbol}, options::AVec, plotIndex::Int)
if plotattributes[sym] == :auto
plotattributes[sym] = autopick_ignore_none_auto(options, plotIndex)
elseif haskey(aliases, plotattributes[sym])
@@ -482,7 +475,7 @@ function aliasesAndAutopick(plotattributes::KW, sym::Symbol, aliases::Dict{Symbo
end
end
function aliases(aliasMap::Dict{Symbol,Symbol}, val)
@noinline function aliases(aliasMap::Dict{Symbol,Symbol}, val)
sortedkeys(filter((k,v)-> v==val, aliasMap))
end
@@ -886,9 +879,9 @@ function processFontArg!(plotattributes::KW, fontname::Symbol, arg)
end
end
_replace_markershape(shape::Symbol) = get(_markerAliases, shape, shape)
_replace_markershape(shapes::AVec) = map(_replace_markershape, shapes)
_replace_markershape(shape) = shape
@noinline _replace_markershape(shape::Symbol) = get(_markerAliases, shape, shape)
@noinline _replace_markershape(shapes::AVec) = map(_replace_markershape, shapes)
@noinline _replace_markershape(shape) = shape
function _add_markershape(plotattributes::KW)
# add the markershape if it needs to be added... hack to allow "m=10" to add a shape,
@@ -937,15 +930,6 @@ function preprocessArgs!(plotattributes::KW)
end
end
# vline accesses the y argument but actually maps it to the x axis.
# Hence, we have to swap formatters
if get(plotattributes, :seriestype, :path) == :vline
xformatter = get(plotattributes, :xformatter, :auto)
yformatter = get(plotattributes, :yformatter, :auto)
plotattributes[:xformatter] = yformatter
plotattributes[:yformatter] = xformatter
end
# handle grid args common to all axes
args = pop!(plotattributes, :grid, ())
for arg in wraptuple(args)
@@ -977,7 +961,7 @@ function preprocessArgs!(plotattributes::KW)
end
end
# fonts
for fontname in (:titlefont, :legendfont, :legendtitlefont)
for fontname in (:titlefont, :legendfont)
args = pop!(plotattributes, fontname, ())
for arg in wraptuple(args)
processFontArg!(plotattributes, fontname, arg)
@@ -1090,7 +1074,7 @@ end
# this is when given a vector-type of values to group by
function extractGroupArgs(v::AVec, args...; legendEntry = string)
@noinline function extractGroupArgs(v::AVec, args...; legendEntry = string)
groupLabels = sort(collect(unique(v)))
n = length(groupLabels)
if n > 100
@@ -1100,17 +1084,17 @@ function extractGroupArgs(v::AVec, args...; legendEntry = string)
GroupBy(map(legendEntry, groupLabels), groupIds)
end
legendEntryFromTuple(ns::Tuple) = join(ns, ' ')
@noinline legendEntryFromTuple(ns::Tuple) = join(ns, ' ')
# this is when given a tuple of vectors of values to group by
function extractGroupArgs(vs::Tuple, args...)
@noinline function extractGroupArgs(vs::Tuple, args...)
isempty(vs) && return GroupBy([""], [1:size(args[1],1)])
v = map(tuple, vs...)
extractGroupArgs(v, args...; legendEntry = legendEntryFromTuple)
end
# allow passing NamedTuples for a named legend entry
legendEntryFromTuple(ns::NamedTuple) =
@noinline legendEntryFromTuple(ns::NamedTuple) =
join(["$k = $v" for (k, v) in pairs(ns)], ", ")
function extractGroupArgs(vs::NamedTuple, args...)
@@ -1120,22 +1104,22 @@ function extractGroupArgs(vs::NamedTuple, args...)
end
# expecting a mapping of "group label" to "group indices"
function extractGroupArgs(idxmap::Dict{T,V}, args...) where {T, V<:AVec{Int}}
@noinline function extractGroupArgs(idxmap::Dict{T,V}, args...) where {T, V<:AVec{Int}}
groupLabels = sortedkeys(idxmap)
groupIds = Vector{Int}[collect(idxmap[k]) for k in groupLabels]
GroupBy(groupLabels, groupIds)
end
filter_data(v::AVec, idxfilter::AVec{Int}) = v[idxfilter]
filter_data(v, idxfilter) = v
@noinline filter_data(v::AVec, idxfilter::AVec{Int}) = v[idxfilter]
@noinline filter_data(v, idxfilter) = v
function filter_data!(plotattributes::KW, idxfilter)
@noinline function filter_data!(plotattributes::KW, idxfilter)
for s in (:x, :y, :z)
plotattributes[s] = filter_data(get(plotattributes, s, nothing), idxfilter)
end
end
function _filter_input_data!(plotattributes::KW)
@noinline function _filter_input_data!(plotattributes::KW)
idxfilter = pop!(plotattributes, :idxfilter, nothing)
if idxfilter !== nothing
filter_data!(plotattributes, idxfilter)
@@ -1198,7 +1182,7 @@ end
# -----------------------------------------------------------------------------
function convertLegendValue(val::Symbol)
@noinline function convertLegendValue(val::Symbol)
if val in (:both, :all, :yes)
:best
elseif val in (:no, :none)
@@ -1209,10 +1193,10 @@ function convertLegendValue(val::Symbol)
error("Invalid symbol for legend: $val")
end
end
convertLegendValue(val::Bool) = val ? :best : :none
convertLegendValue(val::Nothing) = :none
convertLegendValue(v::Tuple{S,T}) where {S<:Real, T<:Real} = v
convertLegendValue(v::AbstractArray) = map(convertLegendValue, v)
@noinline convertLegendValue(val::Bool) = val ? :best : :none
@noinline convertLegendValue(val::Nothing) = :none
@noinline convertLegendValue(v::Tuple{S,T}) where {S<:Real, T<:Real} = v
@noinline convertLegendValue(v::AbstractArray) = map(convertLegendValue, v)
# -----------------------------------------------------------------------------
@@ -1221,12 +1205,12 @@ convertLegendValue(v::AbstractArray) = map(convertLegendValue, v)
# multi-row matrices will give a column
# InputWrapper just gives the contents
# anything else is returned as-is
function slice_arg(v::AMat, idx::Int)
@noinline function slice_arg(v::AMat, idx::Int)
c = mod1(idx, size(v,2))
size(v,1) == 1 ? v[1,c] : v[:,c]
end
slice_arg(wrapper::InputWrapper, idx) = wrapper.obj
slice_arg(v, idx) = v
@noinline slice_arg(wrapper::InputWrapper, idx) = wrapper.obj
@noinline slice_arg(v, idx) = v
# given an argument key (k), we want to extract the argument value for this index.
@@ -1287,10 +1271,8 @@ const _match_map = KW(
:bottom_margin => :margin,
:titlefontfamily => :fontfamily_subplot,
:legendfontfamily => :fontfamily_subplot,
:legendtitlefontfamily => :fontfamily_subplot,
:titlefontcolor => :foreground_color_subplot,
:legendfontcolor => :foreground_color_subplot,
:legendtitlefontcolor => :foreground_color_subplot,
:tickfontcolor => :foreground_color_text,
:guidefontcolor => :foreground_color_guide,
)
@@ -1527,9 +1509,9 @@ end
# -----------------------------------------------------------------------------
has_black_border_for_default(st) = error("The seriestype attribute only accepts Symbols, you passed the $(typeof(st)) $st.")
has_black_border_for_default(st::Function) = error("The seriestype attribute only accepts Symbols, you passed the function $st.")
function has_black_border_for_default(st::Symbol)
@noinline has_black_border_for_default(st) = error("The seriestype attribute only accepts Symbols, you passed the $(typeof(st)) $st.")
@noinline has_black_border_for_default(st::Function) = error("The seriestype attribute only accepts Symbols, you passed the function $st.")
@noinline function has_black_border_for_default(st::Symbol)
like_histogram(st) || st in (:hexbin, :bar, :shape)
end
+1 -3
View File
@@ -218,8 +218,6 @@ function optimal_ticks_and_labels(sp::Subplot, axis::Axis, ticks = nothing)
map(labelfunc(scale, backend()), Showoff.showoff(scaled_ticks, :plain))
elseif formatter == :scientific
Showoff.showoff(unscaled_ticks, :scientific)
elseif formatter == :latex
map(x -> string("\$", replace(convert_sci_unicode(x), '×' => "\\times"), "\$"), Showoff.showoff(unscaled_ticks, :auto))
else
# there was an override for the formatter... use that on the unscaled ticks
map(formatter, unscaled_ticks)
@@ -756,5 +754,5 @@ function axis_drawing_info(sp::Subplot)
end
end
xticks, yticks, xaxis_segs, yaxis_segs, xtick_segs, ytick_segs, xgrid_segs, ygrid_segs, xminorgrid_segs, yminorgrid_segs, xborder_segs, yborder_segs
Any[xticks, yticks, xaxis_segs, yaxis_segs, xtick_segs, ytick_segs, xgrid_segs, ygrid_segs, xminorgrid_segs, yminorgrid_segs, xborder_segs, yborder_segs]
end
+29 -19
View File
@@ -47,17 +47,17 @@ end
# ---------------------------------------------------------
# don't do anything as a default
_create_backend_figure(plt::Plot) = nothing
_prepare_plot_object(plt::Plot) = nothing
_initialize_subplot(plt::Plot, sp::Subplot) = nothing
@noinline _create_backend_figure(plt::Plot) = nothing
@noinline _prepare_plot_object(plt::Plot) = nothing
@noinline _initialize_subplot(plt::Plot, sp::Subplot) = nothing
_series_added(plt::Plot, series::Series) = nothing
_series_updated(plt::Plot, series::Series) = nothing
@noinline _series_added(plt::Plot, series::Series) = nothing
@noinline _series_updated(plt::Plot, series::Series) = nothing
_before_layout_calcs(plt::Plot) = nothing
@noinline _before_layout_calcs(plt::Plot) = nothing
title_padding(sp::Subplot) = sp[:title] == "" ? 0mm : sp[:titlefontsize] * pt
guide_padding(axis::Axis) = axis[:guide] == "" ? 0mm : axis[:guidefontsize] * pt
@noinline title_padding(sp::Subplot) = sp[:title] == "" ? 0mm : sp[:titlefontsize] * pt
@noinline guide_padding(axis::Axis) = axis[:guide] == "" ? 0mm : axis[:guidefontsize] * pt
"Returns the (width,height) of a text label."
function text_size(lablen::Int, sz::Number, rot::Number = 0)
@@ -123,20 +123,32 @@ function _update_min_padding!(sp::Subplot)
sp.minpad = (leftpad, toppad, rightpad, bottompad)
end
_update_plot_object(plt::Plot) = nothing
@noinline _update_plot_object(plt::Plot) = nothing
# ---------------------------------------------------------
mutable struct CurrentBackend
sym::Symbol
pkg::AbstractBackend
mutable struct CurrentBackend{sym,T}
pkg::T
end
function CurrentBackend(sym::Symbol)
bkend = _backend_instance(sym)
CurrentBackend{sym,typeof(bkend)}(bkend)
end
function Base.getproperty(bkend::CurrentBackend{sym,T},x::Symbol) where {sym,T}
if x === :sym
return sym
elseif x === :pkg
return getfield(bkend,:pkg)
else
error("Must be sym or pkg")
end
end
CurrentBackend(sym::Symbol) = CurrentBackend(sym, _backend_instance(sym))
# ---------------------------------------------------------
_fallback_default_backend() = backend(GRBackend())
@noinline _fallback_default_backend() = backend(GRBackend())
function _pick_default_backend()
env_default = get(ENV, "PLOTS_DEFAULT_BACKEND", "")
@@ -177,8 +189,7 @@ function backend(pkg::AbstractBackend)
_initialize_backend(pkg)
push!(_initialized_backends, sym)
end
CURRENT_BACKEND.sym = sym
CURRENT_BACKEND.pkg = pkg
CURRENT_BACKEND = Plots.CurrentBackend(sym)
pkg
end
@@ -294,9 +305,8 @@ function _initialize_backend(pkg::AbstractBackend)
end
end
_initialize_backend(pkg::GRBackend) = nothing
_initialize_backend(pkg::PlotlyBackend) = nothing
@noinline _initialize_backend(pkg::GRBackend) = nothing
@noinline _initialize_backend(pkg::PlotlyBackend) = nothing
# ------------------------------------------------------------------------------
+602 -546
View File
File diff suppressed because it is too large Load Diff
+2 -2
View File
@@ -469,7 +469,7 @@ function plotly_series(plt::Plot, series::Series)
plotattributes_out[:showlegend] = should_add_to_legend(series)
if st == :straightline
x, y = straightline_data(series, 100)
x, y = straightline_data(series)
z = series[:z]
else
x, y, z = series[:x], series[:y], series[:z]
@@ -584,7 +584,7 @@ function plotly_series_shapes(plt::Plot, series::Series, clims)
)
x, y = (plotly_data(series, letter, data)
for (letter, data) in zip((:x, :y), shape_data(series, 100))
for (letter, data) in zip((:x, :y), shape_data(series))
)
for (i,rng) in enumerate(segments)
+5 -9
View File
@@ -927,7 +927,7 @@ function py_set_scale(ax, sp::Subplot, axis::Axis)
elseif scale == :log10
10
end
kw[Symbol(:linthresh,letter)] = NaNMath.max(1e-16, py_compute_axis_minval(sp, axis))
kw[Symbol(:linthresh,letter)] = NaNMath.min(1e-16, py_compute_axis_minval(sp, axis))
"symlog"
end
func(arg; kw...)
@@ -1228,7 +1228,7 @@ end
function py_add_annotations(sp::Subplot{PyPlotBackend}, x, y, val)
ax = sp.o
ax."annotate"(val, xy = (x,y), zorder = 999, annotation_clip = false)
ax."annotate"(val, xy = (x,y), zorder = 999)
end
@@ -1242,8 +1242,7 @@ function py_add_annotations(sp::Subplot{PyPlotBackend}, x, y, val::PlotText)
verticalalignment = val.font.valign == :vcenter ? "center" : string(val.font.valign),
rotation = val.font.rotation,
size = py_thickness_scale(sp.plt, val.font.pointsize),
zorder = 999,
annotation_clip = false
zorder = 999
)
end
@@ -1336,13 +1335,10 @@ function py_add_legend(plt::Plot, sp::Subplot, ax)
frame = leg."get_frame"()
frame."set_linewidth"(py_thickness_scale(plt, 1))
leg."set_zorder"(1000)
if sp[:legendtitle] !== nothing
leg."set_title"(sp[:legendtitle])
PyPlot.plt."setp"(leg."get_title"(), color = py_color(sp[:legendtitlefontcolor]), family = sp[:legendtitlefontfamily], fontsize = py_thickness_scale(plt, sp[:legendtitlefontsize]))
end
sp[:legendtitle] !== nothing && leg."set_title"(sp[:legendtitle])
for txt in leg."get_texts"()
PyPlot.plt."setp"(txt, color = py_color(sp[:legendfontcolor]), family = sp[:legendfontfamily], fontsize = py_thickness_scale(plt, sp[:legendfontsize]))
PyPlot.plt."setp"(txt, color = py_color(sp[:legendfontcolor]), family = sp[:legendfontfamily])
end
end
end
+2 -2
View File
@@ -137,7 +137,7 @@ const _shape_keys = Symbol[
:x,
]
const _shapes = KW(
const _shapes = Dict{Symbol,Shape}(
:circle => makeshape(20),
:rect => makeshape(4, offset=-0.25),
:diamond => makeshape(4),
@@ -794,7 +794,7 @@ end
@deprecate curve_points coords
coords(curve::BezierCurve, n::Integer = 30; range = [0,1]) = map(curve, Base.range(range..., length=n))
coords(curve::BezierCurve, n::Integer = 30; range = [0,1]) = map(curve, range(range..., stop=n, length=50))
# build a BezierCurve which leaves point p vertically upwards and arrives point q vertically upwards.
# may create a loop if necessary. Assumes the view is [0,1]
+5 -5
View File
@@ -238,12 +238,12 @@ build with the method `text(string, attr...)`, which wraps font and color attrib
""",
[:(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"))])
plot(y, annotations = (3,y[3],text("this is #3",:left)), leg=false)
annotate!([(5, y[5], text("this is #5",16,:red,:center)),
(10, y[10], text("this is #10",:right,20,"courier"))])
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)])
text("data",:green)])
end)]
),
@@ -461,7 +461,7 @@ _animation_examples = [2, 30]
_backend_skips = Dict(
:gr => [25, 30],
:pyplot => [25, 30],
:plotlyjs => [2, 21, 24, 25, 30, 31],
:plotlyjs => [2, 21, 25, 30, 31],
:pgfplots => [2, 5, 6, 10, 16, 20, 22, 23, 25, 28, 30],
)
+49 -49
View File
@@ -107,6 +107,7 @@ function resolve_mixed(mix::MixedMeasures, sp::Subplot, letter::Symbol)
if mix.len != 0mm
f = (letter == :x ? width : height)
totlen = f(plotarea(sp))
@show totlen
pct += mix.len / totlen
end
if pct != 0
@@ -187,29 +188,29 @@ parent_bbox(layout::AbstractLayout) = bbox(parent(layout))
# padding_h(layout::AbstractLayout) = bottom_padding(layout) + top_padding(layout)
# padding(layout::AbstractLayout) = (padding_w(layout), padding_h(layout))
update_position!(layout::AbstractLayout) = nothing
update_child_bboxes!(layout::AbstractLayout, minimum_perimeter = [0mm,0mm,0mm,0mm]) = nothing
@noinline update_position!(layout::AbstractLayout) = nothing
@noinline update_child_bboxes!(layout::AbstractLayout, minimum_perimeter = [0mm,0mm,0mm,0mm]) = nothing
left(layout::AbstractLayout) = left(bbox(layout))
top(layout::AbstractLayout) = top(bbox(layout))
right(layout::AbstractLayout) = right(bbox(layout))
bottom(layout::AbstractLayout) = bottom(bbox(layout))
width(layout::AbstractLayout) = width(bbox(layout))
height(layout::AbstractLayout) = height(bbox(layout))
@noinline left(layout::AbstractLayout) = left(bbox(layout))
@noinline top(layout::AbstractLayout) = top(bbox(layout))
@noinline right(layout::AbstractLayout) = right(bbox(layout))
@noinline bottom(layout::AbstractLayout) = bottom(bbox(layout))
@noinline width(layout::AbstractLayout) = width(bbox(layout))
@noinline height(layout::AbstractLayout) = height(bbox(layout))
# pass these through to the bbox methods if there's no plotarea
plotarea(layout::AbstractLayout) = bbox(layout)
plotarea!(layout::AbstractLayout, bb::BoundingBox) = bbox!(layout, bb)
@noinline plotarea(layout::AbstractLayout) = bbox(layout)
@noinline plotarea!(layout::AbstractLayout, bb::BoundingBox) = bbox!(layout, bb)
attr(layout::AbstractLayout, k::Symbol) = layout.attr[k]
attr(layout::AbstractLayout, k::Symbol, v) = get(layout.attr, k, v)
attr!(layout::AbstractLayout, v, k::Symbol) = (layout.attr[k] = v)
hasattr(layout::AbstractLayout, k::Symbol) = haskey(layout.attr, k)
@noinline attr(layout::AbstractLayout, k::Symbol) = layout.attr[k]
@noinline attr(layout::AbstractLayout, k::Symbol, v) = get(layout.attr, k, v)
@noinline attr!(layout::AbstractLayout, v, k::Symbol) = (layout.attr[k] = v)
@noinline hasattr(layout::AbstractLayout, k::Symbol) = haskey(layout.attr, k)
leftpad(layout::AbstractLayout) = 0mm
toppad(layout::AbstractLayout) = 0mm
rightpad(layout::AbstractLayout) = 0mm
bottompad(layout::AbstractLayout) = 0mm
@noinline leftpad(layout::AbstractLayout) = 0mm
@noinline toppad(layout::AbstractLayout) = 0mm
@noinline rightpad(layout::AbstractLayout) = 0mm
@noinline bottompad(layout::AbstractLayout) = 0mm
# -----------------------------------------------------------
# RootLayout
@@ -217,7 +218,6 @@ bottompad(layout::AbstractLayout) = 0mm
# this is the parent of the top-level layout
struct RootLayout <: AbstractLayout end
Base.show(io::IO, layout::RootLayout) = Base.show_default(io, layout)
Base.parent(::RootLayout) = nothing
parent_bbox(::RootLayout) = defaultbox
bbox(::RootLayout) = defaultbox
@@ -227,8 +227,8 @@ bbox(::RootLayout) = defaultbox
# contains blank space
mutable struct EmptyLayout <: AbstractLayout
parent::AbstractLayout
bbox::BoundingBox
parent
bbox#::BoundingBox
attr::KW # store label, width, and height for initialization
# label # this is the label that the subplot will take (since we create a layout before initialization)
end
@@ -245,12 +245,12 @@ _update_min_padding!(layout::EmptyLayout) = nothing
# nested, gridded layout with optional size percentages
mutable struct GridLayout <: AbstractLayout
parent::AbstractLayout
minpad::Tuple # leftpad, toppad, rightpad, bottompad
bbox::BoundingBox
grid::Matrix{AbstractLayout} # Nested layouts. Each position is a AbstractLayout, which allows for arbitrary recursion
widths::Vector{Measure}
heights::Vector{Measure}
parent
minpad::Tuple{AbsoluteLength,AbsoluteLength,AbsoluteLength,AbsoluteLength} # leftpad, toppad, rightpad, bottompad
bbox#::BoundingBox
grid::Matrix{Any} # Nested layouts. Each position is a AbstractLayout, which allows for arbitrary recursion
widths::Vector{Any}
heights::Vector{Any}
attr::KW
end
@@ -268,14 +268,14 @@ function GridLayout(dims...;
widths = zeros(dims[2]),
heights = zeros(dims[1]),
kw...)
grid = Matrix{AbstractLayout}(undef, dims...)
grid = Matrix{Any}(undef, dims...)
layout = GridLayout(
parent,
(20mm, 5mm, 2mm, 10mm),
defaultbox,
grid,
Measure[w*pct for w in widths],
Measure[h*pct for h in heights],
Any[w*pct for w in widths],
Any[h*pct for h in heights],
# convert(Vector{Float64}, widths),
# convert(Vector{Float64}, heights),
KW(kw))
@@ -349,18 +349,18 @@ function update_child_bboxes!(layout::GridLayout, minimum_perimeter = [0mm,0mm,0
# # create a matrix for each minimum padding direction
# _update_min_padding!(layout)
minpad_left = map(leftpad, layout.grid)
minpad_top = map(toppad, layout.grid)
minpad_right = map(rightpad, layout.grid)
minpad_bottom = map(bottompad, layout.grid)
minpad_left::Matrix{AbsoluteLength} = map(leftpad, layout.grid)
minpad_top::Matrix{AbsoluteLength} = map(toppad, layout.grid)
minpad_right::Matrix{AbsoluteLength} = map(rightpad, layout.grid)
minpad_bottom::Matrix{AbsoluteLength} = map(bottompad, layout.grid)
# get the max horizontal (left and right) padding over columns,
# and max vertical (bottom and top) padding over rows
# TODO: add extra padding here
pad_left = maximum(minpad_left, dims = 1)
pad_top = maximum(minpad_top, dims = 2)
pad_right = maximum(minpad_right, dims = 1)
pad_bottom = maximum(minpad_bottom, dims = 2)
pad_left::Matrix{AbsoluteLength} = maximum(minpad_left, dims = 1)
pad_top::Matrix{AbsoluteLength} = maximum(minpad_top, dims = 2)
pad_right::Matrix{AbsoluteLength} = maximum(minpad_right, dims = 1)
pad_bottom::Matrix{AbsoluteLength} = maximum(minpad_bottom, dims = 2)
# make sure the perimeter match the parent
pad_left[1] = max(pad_left[1], minimum_perimeter[1])
@@ -389,14 +389,14 @@ function update_child_bboxes!(layout::GridLayout, minimum_perimeter = [0mm,0mm,0
child = layout[r,c]
# get the top-left corner of this child... the first one is top-left of the parent (i.e. layout)
child_left = (c == 1 ? left(layout.bbox) : right(layout[r, c-1].bbox))
child_top = (r == 1 ? top(layout.bbox) : bottom(layout[r-1, c].bbox))
child_left::AbsoluteLength = (c == 1 ? left(layout.bbox) : right(layout[r, c-1].bbox))
child_top::AbsoluteLength = (r == 1 ? top(layout.bbox) : bottom(layout[r-1, c].bbox))
# compute plot area
plotarea_left = child_left + pad_left[c]
plotarea_top = child_top + pad_top[r]
plotarea_width = total_plotarea_horizontal * layout.widths[c]
plotarea_height = total_plotarea_vertical * layout.heights[r]
plotarea_left::AbsoluteLength = child_left + pad_left[c]
plotarea_top::AbsoluteLength = child_top + pad_top[r]
plotarea_width::AbsoluteLength = total_plotarea_horizontal * layout.widths[c]
plotarea_height::AbsoluteLength = total_plotarea_vertical * layout.heights[r]
plotarea!(child, BoundingBox(plotarea_left, plotarea_top, plotarea_width, plotarea_height))
# compute child bbox
@@ -512,14 +512,14 @@ end
# # just a single subplot
# function build_layout(sp::Subplot, n::Integer)
# sp, Subplot[sp], SubplotMap(gensym() => sp)
# sp, Subplot[sp], KW(gensym() => sp)
# end
# n is the number of subplots... build a grid and initialize the inner subplots recursively
function build_layout(layout::GridLayout, n::Integer)
nr, nc = size(layout)
subplots = Subplot[]
spmap = SubplotMap()
subplots = Any[]
spmap = KW()
i = 0
for r=1:nr, c=1:nc
l = layout[r,c]
@@ -560,8 +560,8 @@ end
# TODO... much of the logic overlaps with the method above... can we merge?
function build_layout(layout::GridLayout, numsp::Integer, plts::AVec{Plot})
nr, nc = size(layout)
subplots = Subplot[]
spmap = SubplotMap()
subplots = Any[]
spmap = KW()
i = 0
for r=1:nr, c=1:nc
l = layout[r,c]
+16 -22
View File
@@ -72,7 +72,6 @@ const _savemap = Dict(
"eps" => eps,
"tex" => tex,
"html" => html,
"tikz" => tex,
)
function getExtension(fn::AbstractString)
@@ -130,29 +129,29 @@ savefig(fn::AbstractString) = savefig(current(), fn)
Display a plot using the backends' gui window
"""
gui(plt::Plot = current()) = display(PlotsDisplay(), plt)
@noinline gui(plt::Plot = current()) = display(PlotsDisplay(), plt)
# IJulia only... inline display
function inline(plt::Plot = current())
@noinline function inline(plt::Plot = current())
isijulia() || error("inline() is IJulia-only")
Main.IJulia.clear_output(true)
display(Main.IJulia.InlineDisplay(), plt)
end
function Base.display(::PlotsDisplay, plt::Plot)
@noinline function Base.display(::PlotsDisplay, plt::Plot)
prepare_output(plt)
_display(plt)
end
_do_plot_show(plt, showval::Bool) = showval && gui(plt)
function _do_plot_show(plt, showval::Symbol)
@noinline _do_plot_show(plt, showval::Bool) = showval && gui(plt)
@noinline function _do_plot_show(plt, showval::Symbol)
showval == :gui && gui(plt)
showval in (:inline,:ijulia) && inline(plt)
end
# ---------------------------------------------------------
const _best_html_output_type = KW(
const _best_html_output_type = Dict{Symbol,Symbol}(
:pyplot => :png,
:unicodeplots => :txt,
:plotlyjs => :html,
@@ -160,7 +159,7 @@ const _best_html_output_type = KW(
)
# a backup for html... passes to svg or png depending on the html_output_format arg
function _show(io::IO, ::MIME"text/html", plt::Plot)
@noinline function _show(io::IO, ::MIME"text/html", plt::Plot)
output_type = Symbol(plt.attr[:html_output_format])
if output_type == :auto
output_type = get(_best_html_output_type, backend_name(plt.backend), :svg)
@@ -179,11 +178,11 @@ function _show(io::IO, ::MIME"text/html", plt::Plot)
end
# delegate showable to _show instead
function Base.showable(m::M, plt::P) where {M<:MIME, P<:Plot}
@noinline function Base.showable(m::M, plt::P) where {M<:MIME, P<:Plot}
return hasmethod(_show, Tuple{IO, M, P})
end
function _display(plt::Plot)
@noinline function _display(plt::Plot)
@warn("_display is not defined for this backend.")
end
@@ -202,10 +201,8 @@ for mime in ("text/plain", "text/html", "image/png", "image/eps", "image/svg+xml
end
end
Base.show(io::IO, m::MIME"application/prs.juno.plotpane+html", plt::Plot) = showjuno(io, MIME("text/html"), plt)
# default text/plain for all backends
_show(io::IO, ::MIME{Symbol("text/plain")}, plt::Plot) = show(io, plt)
@noinline _show(io::IO, ::MIME{Symbol("text/plain")}, plt::Plot) = show(io, plt)
"Close all open gui windows of the current backend"
closeall() = closeall(backend())
@@ -231,17 +228,16 @@ closeall() = closeall(backend())
# ---------------------------------------------------------
# Atom PlotPane
# ---------------------------------------------------------
function showjuno(io::IO, m, plt)
sz = collect(plt[:size])
@noinline function showjuno(io::IO, m, plt)
sz = plt[:size]
dpi = plt[:dpi]
thickness_scaling = plt[:thickness_scaling]
jsize = get(io, :juno_plotsize, [400, 500])
jratio = get(io, :juno_dpi_ratio, 1)
scale = minimum(jsize[i] / sz[i] for i in 1:2)
plt[:size] = [s * scale for s in sz]
plt[:dpi] = jratio*Plots.DPI
plt[:size] = (s * scale for s in sz)
plt[:dpi] = Plots.DPI
plt[:thickness_scaling] *= scale
prepare_output(plt)
@@ -254,7 +250,7 @@ function showjuno(io::IO, m, plt)
end
end
function _showjuno(io::IO, m::MIME"image/svg+xml", plt)
@noinline function _showjuno(io::IO, m::MIME"image/svg+xml", plt)
if Symbol(plt.attr[:html_output_format]) :svg
throw(MethodError(show, (typeof(m), typeof(plt))))
else
@@ -262,6 +258,4 @@ function _showjuno(io::IO, m::MIME"image/svg+xml", plt)
end
end
Base.showable(::MIME"application/prs.juno.plotpane+html", plt::Plot) = showable(MIME"text/html"(), plt)
_showjuno(io::IO, m, plt) = _show(io, m, plt)
@noinline _showjuno(io::IO, m, plt) = _show(io, m, plt)
+15 -16
View File
@@ -3,11 +3,11 @@
# ------------------------------------------------------------------
# preprocessing
function command_idx(kw_list::AVec{KW}, kw::KW)
@noinline function command_idx(kw_list::AVec{KW}, kw::KW)
Int(kw[:series_plotindex]) - Int(kw_list[1][:series_plotindex]) + 1
end
function _expand_seriestype_array(plotattributes::KW, args)
@noinline function _expand_seriestype_array(plotattributes::KW, args)
sts = get(plotattributes, :seriestype, :path)
if typeof(sts) <: AbstractArray
delete!(plotattributes, :seriestype)
@@ -23,7 +23,7 @@ function _expand_seriestype_array(plotattributes::KW, args)
end
end
function _preprocess_args(plotattributes::KW, args, still_to_process::Vector{RecipeData})
@noinline function _preprocess_args(plotattributes::KW, args, still_to_process::Vector{RecipeData})
# the grouping mechanism is a recipe on a GroupBy object
# we simply add the GroupBy object to the front of the args list to allow
# the recipe to be applied
@@ -57,7 +57,7 @@ end
# user recipes
function _process_userrecipes(plt::Plot, plotattributes::KW, args)
@noinline function _process_userrecipes(plt::Plot, plotattributes::KW, args)
still_to_process = RecipeData[]
args = _preprocess_args(plotattributes, args, still_to_process)
@@ -90,7 +90,7 @@ function _process_userrecipes(plt::Plot, plotattributes::KW, args)
kw_list
end
function _process_userrecipe(plt::Plot, kw_list::Vector{KW}, recipedata::RecipeData)
@noinline function _process_userrecipe(plt::Plot, kw_list::Vector{KW}, recipedata::RecipeData)
# when the arg tuple is empty, that means there's nothing left to recursively
# process... finish up and add to the kw_list
kw = recipedata.plotattributes
@@ -108,7 +108,7 @@ function _process_userrecipe(plt::Plot, kw_list::Vector{KW}, recipedata::RecipeD
return
end
function _preprocess_userrecipe(kw::KW)
@noinline function _preprocess_userrecipe(kw::KW)
_add_markershape(kw)
# if there was a grouping, filter the data here
@@ -132,7 +132,7 @@ function _preprocess_userrecipe(kw::KW)
return
end
function _add_errorbar_kw(kw_list::Vector{KW}, kw::KW)
@noinline function _add_errorbar_kw(kw_list::Vector{KW}, kw::KW)
# handle error bars by creating new recipedata data... these will have
# the same recipedata index as the recipedata they are copied from
for esym in (:xerror, :yerror)
@@ -147,7 +147,7 @@ function _add_errorbar_kw(kw_list::Vector{KW}, kw::KW)
end
end
function _add_smooth_kw(kw_list::Vector{KW}, kw::KW)
@noinline function _add_smooth_kw(kw_list::Vector{KW}, kw::KW)
# handle smoothing by adding a new series
if get(kw, :smooth, false)
x, y = kw[:x], kw[:y]
@@ -203,7 +203,7 @@ end
# ------------------------------------------------------------------
# setup plot and subplot
function _plot_setup(plt::Plot, plotattributes::KW, kw_list::Vector{KW})
function _plot_setup(plt::Plot{T}, plotattributes::KW, kw_list::Vector{KW}) where {T}
# merge in anything meant for the Plot
for kw in kw_list, (k,v) in kw
haskey(_plot_defaults, k) && (plotattributes[k] = pop!(kw, k))
@@ -252,18 +252,17 @@ function _plot_setup(plt::Plot, plotattributes::KW, kw_list::Vector{KW})
plt[:inset_subplots] = nothing
end
function _subplot_setup(plt::Plot, plotattributes::KW, kw_list::Vector{KW})
function _subplot_setup(plt::Plot{T}, plotattributes::KW, kw_list::Vector{KW}) where T
# we'll keep a map of subplot to an attribute override dict.
# Subplot/Axis attributes set by a user/series recipe apply only to the
# Subplot object which they belong to.
# TODO: allow matrices to still apply to all subplots
sp_attrs = Dict{Subplot,Any}()
sp_attrs = Dict{Any,Any}()
for kw in kw_list
# get the Subplot object to which the series belongs.
sps = get(kw, :subplot, :auto)
sp = get_subplot(plt, _cycle(sps == :auto ? plt.subplots : plt.subplots[sps], command_idx(kw_list,kw)))
kw[:subplot] = sp
# extract subplot/axis attributes from kw and add to sp_attr
attr = KW()
for (k,v) in collect(kw)
@@ -303,7 +302,7 @@ end
# getting ready to add the series... last update to subplot from anything
# that might have been added during series recipes
function _prepare_subplot(plt::Plot{T}, plotattributes::KW) where T
@noinline function _prepare_subplot(plt::Plot{T}, plotattributes::KW) where T
st::Symbol = plotattributes[:seriestype]
sp::Subplot{T} = plotattributes[:subplot]
sp_idx = get_subplot_index(plt, sp)
@@ -327,7 +326,7 @@ end
# ------------------------------------------------------------------
# series types
function _override_seriestype_check(plotattributes::KW, st::Symbol)
@noinline function _override_seriestype_check(plotattributes::KW, st::Symbol)
# do we want to override the series type?
if !is3d(st) && !(st in (:contour,:contour3d))
z = plotattributes[:z]
@@ -339,7 +338,7 @@ function _override_seriestype_check(plotattributes::KW, st::Symbol)
st
end
function _prepare_annotations(sp::Subplot, plotattributes::KW)
@noinline function _prepare_annotations(sp::Subplot, plotattributes::KW)
# strip out series annotations (those which are based on series x/y coords)
# and add them to the subplot attr
sp_anns = annotations(sp[:annotations])
@@ -372,7 +371,7 @@ function _expand_subplot_extrema(sp::Subplot, plotattributes::KW, st::Symbol)
end
end
function _add_the_series(plt, sp, plotattributes)
@noinline function _add_the_series(plt, sp, plotattributes)
warnOnUnsupported_args(plt.backend, plotattributes)
warnOnUnsupported(plt.backend, plotattributes)
series = Series(plotattributes)
+22 -15
View File
@@ -4,19 +4,19 @@ mutable struct CurrentPlot
end
const CURRENT_PLOT = CurrentPlot(nothing)
isplotnull() = CURRENT_PLOT.nullableplot === nothing
@noinline isplotnull() = CURRENT_PLOT.nullableplot === nothing
"""
current()
Returns the Plot object for the current plot
"""
function current()
@noinline function current()
if isplotnull()
error("No current plot/subplot")
end
CURRENT_PLOT.nullableplot
end
current(plot::AbstractPlot) = (CURRENT_PLOT.nullableplot = plot)
@noinline current(plot::AbstractPlot) = (CURRENT_PLOT.nullableplot = plot)
# ---------------------------------------------------------
@@ -25,9 +25,9 @@ Base.string(plt::Plot) = "Plot{$(plt.backend) n=$(plt.n)}"
Base.print(io::IO, plt::Plot) = print(io, string(plt))
Base.show(io::IO, plt::Plot) = print(io, string(plt))
getplot(plt::Plot) = plt
getattr(plt::Plot, idx::Int = 1) = plt.attr
convertSeriesIndex(plt::Plot, n::Int) = n
@noinline getplot(plt::Plot) = plt
@noinline getattr(plt::Plot, idx::Int = 1) = plt.attr
@noinline convertSeriesIndex(plt::Plot, n::Int) = n
# ---------------------------------------------------------
@@ -50,11 +50,10 @@ function plot(args...; kw...)
# this creates a new plot with args/kw and sets it to be the current plot
plotattributes = KW(kw)
preprocessArgs!(plotattributes)
# create an empty Plot then process
plt = Plot()
# plt.user_attr = plotattributes
_plot!(plt, plotattributes, args)
_plot!(plt, plotattributes, Any[args...])
end
# build a new plot from existing plots
@@ -155,7 +154,7 @@ function plot!(plt::Plot, args...; kw...)
plotattributes = KW(kw)
preprocessArgs!(plotattributes)
# merge!(plt.user_attr, plotattributes)
_plot!(plt, plotattributes, args)
_plot!(plt, plotattributes, Any[args...])
end
# -------------------------------------------------------------------------------
@@ -163,9 +162,10 @@ end
# this is the core plotting function. recursively apply recipes to build
# a list of series KW dicts.
# note: at entry, we only have those preprocessed args which were passed in... no default values yet
function _plot!(plt::Plot, plotattributes::KW, args::Tuple)
function _plot!(plt::Plot{T}, plotattributes::KW, args::Vector{Any}) where {T}
plotattributes[:plot_object] = plt
if !isempty(args) && !isdefined(Main, :StatsPlots) &&
first(split(string(typeof(args[1])), ".")) == "DataFrames"
@warn("You're trying to plot a DataFrame, but this functionality is provided by StatsPlots")
@@ -175,6 +175,7 @@ function _plot!(plt::Plot, plotattributes::KW, args::Tuple)
# "USER RECIPES"
# --------------------------------
# 1 second
kw_list = _process_userrecipes(plt, plotattributes, args)
# @info(1)
@@ -189,6 +190,7 @@ function _plot!(plt::Plot, plotattributes::KW, args::Tuple)
# the plot layout is created, which allows for setting layouts and other plot-wide attributes.
# we get inputs which have been fully processed by "user recipes" and "type recipes",
# so we can expect standard vectors, surfaces, etc. No defaults have been set yet.
still_to_process = kw_list
kw_list = KW[]
while !isempty(still_to_process)
@@ -202,7 +204,11 @@ function _plot!(plt::Plot, plotattributes::KW, args::Tuple)
# --------------------------------
# Plot/Subplot/Layout setup
# --------------------------------
# 2.5 seconds
_plot_setup(plt, plotattributes, kw_list)
# 6 seconds
_subplot_setup(plt, plotattributes, kw_list)
# !!! note: At this point, kw_list is fully decomposed into individual series... one KW per series. !!!
@@ -216,7 +222,7 @@ function _plot!(plt::Plot, plotattributes::KW, args::Tuple)
# map(DD, kw_list)
for kw in kw_list
sp::Subplot = kw[:subplot]
sp::Subplot{T} = kw[:subplot]
# idx = get_subplot_index(plt, sp)
# # we update subplot args in case something like the color palatte is part of the recipe
@@ -233,9 +239,9 @@ function _plot!(plt::Plot, plotattributes::KW, args::Tuple)
# be able to support step, bar, and histogram plots (and any recipes that use those components).
_process_seriesrecipe(plt, kw)
end
# --------------------------------
# 7 seconds
current(plt)
# do we want to force display?
@@ -243,14 +249,14 @@ function _plot!(plt::Plot, plotattributes::KW, args::Tuple)
# gui(plt)
# end
_do_plot_show(plt, plt[:show])
plt
end
# we're getting ready to display/output. prep for layout calcs, then update
# the plot object after
function prepare_output(plt::Plot)
@noinline function prepare_output(plt::Plot)
_before_layout_calcs(plt)
w, h = plt.attr[:size]
@@ -271,9 +277,10 @@ function prepare_output(plt::Plot)
# the backend callback, to reposition subplots, etc
_update_plot_object(plt)
end
function backend_object(plt::Plot)
@noinline function backend_object(plt::Plot)
prepare_output(plt)
plt.o
end
+25 -45
View File
@@ -7,9 +7,7 @@
# 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}
const DataPoint = Union{Number, AbstractString, Missing}
const SeriesData = Union{AVec{<:DataPoint}, Function, Surface, Volume}
prepareSeriesData(x) = error("Cannot convert $(typeof(x)) to series data for plotting")
@@ -17,52 +15,38 @@ prepareSeriesData(::Nothing) = nothing
prepareSeriesData(s::SeriesData) = handlemissings(s)
handlemissings(v) = v
handlemissings(v::AbstractArray{<:MaybeNumber}) = replace(v, missing => NaN)
handlemissings(v::AbstractArray{<:MaybeString}) = replace(v, missing => "")
handlemissings(v::AbstractArray{Union{T,Missing}}) where T <: Number = replace(v, missing => NaN)
handlemissings(v::AbstractArray{Union{T,Missing}}) where T <: AbstractString = replace(v, missing => "")
handlemissings(s::Surface) = Surface(handlemissings(s.surf))
handlemissings(v::Volume) = Volume(handlemissings(v.v), v.x_extents, v.y_extents, v.z_extents)
# default: assume x represents a single series
convertToAnyVector(x, plotattributes) = Any[prepareSeriesData(x)]
convertToAnyVector(x) = Any[prepareSeriesData(x)]
# fixed number of blank series
convertToAnyVector(n::Integer, plotattributes) = Any[zeros(0) for i in 1:n]
convertToAnyVector(n::Integer) = Any[zeros(0) for i in 1:n]
# vector of data points is a single series
convertToAnyVector(v::AVec{<:DataPoint}, plotattributes) = Any[prepareSeriesData(v)]
convertToAnyVector(v::AVec{<:DataPoint}) = 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
convertToAnyVector(v::AVec) = vcat((convertToAnyVector(vi) for vi in v)...)
# 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 1:size(v, 2)]
end
end
convertToAnyVector(v::AMat{<:DataPoint}) = Any[prepareSeriesData(v[:,i]) for i in 1:size(v,2)]
# --------------------------------------------------------------------
# Fillranges & ribbons
process_fillrange(range::Number, plotattributes) = [range]
process_fillrange(range, plotattributes) = convertToAnyVector(range, plotattributes)
process_fillrange(range::Number) = [range]
process_fillrange(range) = convertToAnyVector(range)
process_ribbon(ribbon::Number, plotattributes) = [ribbon]
process_ribbon(ribbon, plotattributes) = convertToAnyVector(ribbon, plotattributes)
process_ribbon(ribbon::Number) = [ribbon]
process_ribbon(ribbon) = convertToAnyVector(ribbon)
# ribbon as a tuple: (lower_ribbons, upper_ribbons)
process_ribbon(ribbon::Tuple{Any,Any}) = collect(zip(convertToAnyVector(ribbon[1], plotattributes),
convertToAnyVector(ribbon[2], plotattributes)))
process_ribbon(ribbon::Tuple{Any,Any}) = collect(zip(convertToAnyVector(ribbon[1]),
convertToAnyVector(ribbon[2])))
# --------------------------------------------------------------------
@@ -126,17 +110,17 @@ struct SliceIt end
z = z.data
end
xs = convertToAnyVector(x, plotattributes)
ys = convertToAnyVector(y, plotattributes)
zs = convertToAnyVector(z, plotattributes)
xs = convertToAnyVector(x)
ys = convertToAnyVector(y)
zs = convertToAnyVector(z)
fr = pop!(plotattributes, :fillrange, nothing)
fillranges = process_fillrange(fr, plotattributes)
fillranges = process_fillrange(fr)
mf = length(fillranges)
rib = pop!(plotattributes, :ribbon, nothing)
ribbons = process_ribbon(rib, plotattributes)
ribbons = process_ribbon(rib)
mr = length(ribbons)
# @show zs
@@ -159,7 +143,7 @@ struct SliceIt end
rib = ribbons[mod1(i,mr)]
di[:ribbon] = isa(rib, Function) ? map(rib, di[:x]) : rib
push!(series_list, RecipeData(di, ()))
push!(series_list, RecipeData(di, Any[]))
end
end
nothing # don't add a series for the main block
@@ -515,24 +499,20 @@ end
# # special handling... xmin/xmax with parametric function(s)
@recipe function f(f::Function, xmin::Number, xmax::Number)
xscale, yscale = [get(plotattributes, sym, :identity) for sym=(:xscale,:yscale)]
_scaled_adapted_grid(f, xscale, yscale, xmin, xmax)
xs = _scaled_adapted_grid(f, xscale, yscale, xmin, xmax)
xs, f
end
@recipe function f(fs::AbstractArray{F}, xmin::Number, xmax::Number) where F<:Function
xscale, yscale = [get(plotattributes, sym, :identity) for sym=(:xscale,:yscale)]
xs = ys = Array{Any}(undef, length(fs))
for (i, (x, y)) in enumerate(_scaled_adapted_grid(f, xscale, yscale, xmin, xmax) for f in fs)
xs[i] = x
ys[i] = y
end
xs, ys
xs = Any[_scaled_adapted_grid(f, xscale, yscale, xmin, xmax) for f in fs]
xs, fs
end
@recipe f(fx::FuncOrFuncs{F}, fy::FuncOrFuncs{G}, u::AVec) where {F<:Function,G<:Function} = mapFuncOrFuncs(fx, u), mapFuncOrFuncs(fy, u)
@recipe f(fx::FuncOrFuncs{F}, fy::FuncOrFuncs{G}, umin::Number, umax::Number, n = 200) where {F<:Function,G<:Function} = fx, fy, range(umin, stop = umax, length = n)
function _scaled_adapted_grid(f, xscale, yscale, xmin, xmax)
(xf, xinv), (yf, yinv) = ((scalefunc(s),invscalefunc(s)) for s in (xscale,yscale))
xs, ys = adapted_grid(yf∘f∘xinv, xf.((xmin, xmax)))
xinv.(xs), yinv.(ys)
xinv.(adapted_grid(yf∘f∘xinv, xf.((xmin, xmax))))
end
#
+12 -16
View File
@@ -31,11 +31,11 @@ attr!(series::Series, v, k::Symbol) = (series.plotattributes[k] = v)
# a single subplot
mutable struct Subplot{T<:AbstractBackend} <: AbstractLayout
parent::AbstractLayout
parent
series_list::Vector{Series} # arguments for each series
minpad::Tuple # leftpad, toppad, rightpad, bottompad
bbox::BoundingBox # the canvas area which is available to this subplot
plotarea::BoundingBox # the part where the data goes
minpad::Tuple{AbsoluteLength,AbsoluteLength,AbsoluteLength,AbsoluteLength} # leftpad, toppad, rightpad, bottompad
bbox#::BoundingBox # the canvas area which is available to this subplot
plotarea#::BoundingBox # the part where the data goes
attr::KW # args specific to this subplot
o # can store backend-specific data... like a pyplot ax
plt # the enclosing Plot object (can't give it a type because of no forward declarations)
@@ -59,10 +59,6 @@ Extrema() = Extrema(Inf, -Inf)
# -----------------------------------------------------------
const SubplotMap = Dict{Any, Subplot}
# -----------------------------------------------------------
mutable struct Plot{T<:AbstractBackend} <: AbstractPlot{T}
backend::T # the backend type
@@ -71,17 +67,17 @@ mutable struct Plot{T<:AbstractBackend} <: AbstractPlot{T}
user_attr::KW # raw arg inputs (after aliases). these are used as the input dict in `_plot!`
series_list::Vector{Series} # arguments for each series
o # the backend's plot object
subplots::Vector{Subplot}
spmap::SubplotMap # provide any label as a map to a subplot
layout::AbstractLayout
inset_subplots::Vector{Subplot} # list of inset subplots
subplots::Vector{Subplot{T}}
spmap::KW # provide any label as a map to a subplot
layout
inset_subplots::Vector{Subplot{T}} # list of inset subplots
init::Bool
end
function Plot()
Plot(backend(), 0, KW(), KW(), Series[], nothing,
Subplot[], SubplotMap(), EmptyLayout(),
Subplot[], false)
function Plot(_backend = CURRENT_BACKEND)
Plot(_backend.pkg, 0, KW(), KW(), Series[], nothing,
Subplot{typeof(_backend.pkg)}[], KW(), EmptyLayout(),
Subplot{typeof(_backend.pkg)}[], false)
end
# -----------------------------------------------------------------------
+14 -21
View File
@@ -115,6 +115,7 @@ function regressionXY(x, y)
end
function replace_image_with_heatmap(z::Array{T}) where T<:Colorant
@show T, size(z)
n, m = size(z)
# idx = 0
colors = ColorGradient(vec(z))
@@ -653,7 +654,7 @@ function has_attribute_segments(series::Series)
end
series[:seriestype] == :shape && return false
# ... else we check relevant attributes if they have multiple inputs
return any((typeof(series[attr]) <: AbstractVector && length(series[attr]) > 1) for attr in [:seriescolor, :seriesalpha, :linecolor, :linealpha, :linewidth, :linestyle, :fillcolor, :fillalpha, :markercolor, :markeralpha, :markerstrokecolor, :markerstrokealpha]) || any(typeof(series[attr]) <: AbstractArray for attr in (:line_z, :fill_z, :marker_z))
return any((typeof(series[attr]) <: AbstractVector && length(series[attr]) > 1) for attr in [:seriescolor, :seriesalpha, :linecolor, :linealpha, :linewidth, :fillcolor, :fillalpha, :markercolor, :markeralpha, :markerstrokecolor, :markerstrokealpha]) || any(typeof(series[attr]) <: AbstractArray for attr in (:line_z, :fill_z, :marker_z))
end
# ---------------------------------------------------------------
@@ -1059,15 +1060,6 @@ legendfont(sp::Subplot) = font(
sp[:legendfontcolor],
)
legendtitlefont(sp::Subplot) = font(
sp[:legendtitlefontfamily],
sp[:legendtitlefontsize],
sp[:legendtitlefontvalign],
sp[:legendtitlefonthalign],
sp[:legendtitlefontrotation],
sp[:legendtitlefontcolor],
)
tickfont(ax::Axis) = font(
ax[:tickfontfamily],
ax[:tickfontsize],
@@ -1114,20 +1106,20 @@ function convert_sci_unicode(label::AbstractString)
label
end
function straightline_data(series, expansion_factor = 1)
function straightline_data(series)
sp = series[:subplot]
xl, yl = isvertical(series) ? (xlims(sp), ylims(sp)) : (ylims(sp), xlims(sp))
x, y = series[:x], series[:y]
n = length(x)
if n == 2
return straightline_data(xl, yl, x, y, expansion_factor)
return straightline_data(xl, yl, x, y)
else
k, r = divrem(n, 3)
if r == 0
xdata, ydata = fill(NaN, n), fill(NaN, n)
for i in 1:k
inds = (3 * i - 2):(3 * i - 1)
xdata[inds], ydata[inds] = straightline_data(xl, yl, x[inds], y[inds], expansion_factor)
xdata[inds], ydata[inds] = straightline_data(xl, yl, x[inds], y[inds])
end
return xdata, ydata
else
@@ -1136,7 +1128,7 @@ function straightline_data(series, expansion_factor = 1)
end
end
function straightline_data(xl, yl, x, y, expansion_factor = 1)
function straightline_data(xl, yl, x, y)
x_vals, y_vals = if y[1] == y[2]
if x[1] == x[2]
error("Two identical points cannot be used to describe a straight line.")
@@ -1157,28 +1149,29 @@ function straightline_data(xl, yl, x, y, expansion_factor = 1)
end
# expand the data outside the axis limits, by a certain factor too improve
# plotly(js) and interactive behaviour
x_vals = x_vals .+ (x_vals[2] - x_vals[1]) .* expansion_factor .* [-1, 1]
y_vals = y_vals .+ (y_vals[2] - y_vals[1]) .* expansion_factor .* [-1, 1]
factor = 100
x_vals = x_vals .+ (x_vals[2] - x_vals[1]) .* factor .* [-1, 1]
y_vals = y_vals .+ (y_vals[2] - y_vals[1]) .* factor .* [-1, 1]
return x_vals, y_vals
end
function shape_data(series, expansion_factor = 1)
function shape_data(series)
sp = series[:subplot]
xl, yl = isvertical(series) ? (xlims(sp), ylims(sp)) : (ylims(sp), xlims(sp))
x, y = series[:x], series[:y]
factor = 100
for i in eachindex(x)
if x[i] == -Inf
x[i] = xl[1] - expansion_factor * (xl[2] - xl[1])
x[i] = xl[1] - factor * (xl[2] - xl[1])
elseif x[i] == Inf
x[i] = xl[2] + expansion_factor * (xl[2] - xl[1])
x[i] = xl[2] + factor * (xl[2] - xl[1])
end
end
for i in eachindex(y)
if y[i] == -Inf
y[i] = yl[1] - expansion_factor * (yl[2] - yl[1])
y[i] = yl[1] - factor * (yl[2] - yl[1])
elseif y[i] == Inf
y[i] = yl[2] + expansion_factor * (yl[2] - yl[1])
y[i] = yl[2] + factor * (yl[2] - yl[1])
end
end
return x, y
+65 -3
View File
@@ -1,6 +1,34 @@
import Plots._current_plots_version
function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = !is_ci(), sigma = [1,1], tol = 1e-2)
# Taken from MakieGallery
"""
Downloads the reference images from ReferenceImages for a specific version
"""
function download_reference(version = v"0.0.1")
download_dir = abspath(@__DIR__, "reference_images")
isdir(download_dir) || mkpath(download_dir)
tarfile = joinpath(download_dir, "reference_images.zip")
url = "https://github.com/JuliaPlots/PlotReferenceImages.jl/archive/v$(version).tar.gz"
refpath = joinpath(download_dir, "PlotReferenceImages.jl-$(version)")
if !isdir(refpath) # if not yet downloaded
@info "downloading reference images for version $version"
download(url, tarfile)
BinaryProvider.unpack(tarfile, download_dir)
# check again after download
if !isdir(refpath)
error("Something went wrong while downloading reference images. Plots can't be compared to references")
else
rm(tarfile, force = true)
end
else
@info "using reference images for version $version (already downloaded)"
end
refpath
end
const ref_image_dir = download_reference()
function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = isinteractive(), sigma = [1,1], tol = 1e-2)
Plots._debugMode.on = debug
example = Plots._examples[idx]
Plots.theme(:default)
@@ -11,9 +39,36 @@ function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = !i
# ensure consistent results
Random.seed!(1234)
# reference image directory setup
refdir = joinpath(ref_image_dir, "Plots", string(pkg))
fn = "ref$idx.png"
reffn = reference_file(pkg, idx, _current_plots_version)
newfn = joinpath(reference_path(pkg, _current_plots_version), fn)
# firgure out version info
vns = filter(x->x[1] != '.', readdir(refdir))
versions = sort(VersionNumber.(vns), rev = true)
versions = filter(v -> v <= _current_plots_version, versions)
# @show refdir fn versions
newdir = joinpath(refdir, string(_current_plots_version))
newfn = joinpath(newdir, fn)
# figure out which reference file we should compare to, by finding the highest versioned file
reffn = nothing
for v in versions
tmpfn = joinpath(refdir, string(v), fn)
if isfile(tmpfn)
reffn = tmpfn
break
end
end
# now we have the fn (if any)... do the comparison
# @show reffn
if reffn === nothing
reffn = newfn
end
# @show reffn
# return
# test function
func = (fn, idx) -> begin
@@ -23,6 +78,13 @@ function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = !i
png(fn)
end
# try
# run(`mkdir -p $newdir`)
# catch err
# display(err)
# end
# # reffn = joinpath(refdir, "ref$idx.png")
# the test
vtest = VisualTest(func, reffn, idx)
test_images(vtest, popup=popup, sigma=sigma, tol=tol, newfn = newfn)
+21 -54
View File
@@ -1,72 +1,40 @@
import ImageMagick
using VisualRegressionTests
using Plots
using Random
using BinaryProvider
using Test
using FileIO
using Gtk
using LibGit2
using GeometryTypes
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)
reffn = joinpath(refdir, string(version), fn)
for v in versions
tmpfn = joinpath(refdir, string(v), fn)
if isfile(tmpfn)
reffn = tmpfn
break
end
end
return reffn
end
reference_path(backend, version) = reference_dir("Plots", string(backend), string(version))
if !isdir(reference_dir())
mkpath(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!(1234)
default(show=false, reuse=true)
is_ci() = get(ENV, "CI", "false") == "true"
img_tol = is_ci() ? 10e-2 : 10e-2
img_tol = isinteractive() ? 1e-2 : 10e-2
@testset "Backends" begin
@testset "GR" begin
ENV["PLOTS_TEST"] = "true"
ENV["GKSwstype"] = "100"
@test gr() == Plots.GRBackend()
@test backend() == Plots.GRBackend()
@testset "GR" begin
ENV["PLOTS_TEST"] = "true"
ENV["GKSwstype"] = "100"
@test gr() == Plots.GRBackend()
@test backend() == Plots.GRBackend()
@static if Sys.islinux()
image_comparison_facts(:gr, tol=img_tol, skip = Plots._backend_skips[:gr])
end
@static if Sys.islinux()
image_comparison_facts(:gr, tol=img_tol, skip = [25, 30])
end
end
@testset "UnicodePlots" begin
@test unicodeplots() == Plots.UnicodePlotsBackend()
@test backend() == Plots.UnicodePlotsBackend()
# lets just make sure it runs without error
p = plot(rand(10))
@test isa(p, Plots.Plot) == true
@test isa(display(p), Nothing) == true
p = bar(randn(10))
@test isa(p, Plots.Plot) == true
@test isa(display(p), Nothing) == true
end
@testset "UnicodePlots" begin
@test unicodeplots() == Plots.UnicodePlotsBackend()
@test backend() == Plots.UnicodePlotsBackend()
# lets just make sure it runs without error
p = plot(rand(10))
@test isa(p, Plots.Plot) == true
@test isa(display(p), Nothing) == true
p = bar(randn(10))
@test isa(p, Plots.Plot) == true
@test isa(display(p), Nothing) == true
end
@testset "Axes" begin
@@ -93,7 +61,6 @@ end
for plt in plots
display(plt)
end
@test_nowarn plot(x->x^2,0,2)
end
@testset "EmptyAnim" begin
@@ -130,6 +97,6 @@ end
[(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(GeometryTypes.Point.(z))...)), z)
@test isequal(collect(zip(Plots.unzip(Point.(z))...)), z)
end
end