Merge pull request #2469 from JuliaPlots/bbs/remove-defaults

remove default recipes

.github/workflows/CompatHelper.yml

@@ -0,0 +1,24 @@
+name: CompatHelper
+
+on:
+  schedule:
+    - cron: '00 * * * *'
+
+jobs:
+  CompatHelper:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      matrix:
+        julia-version: [1.2.0]
+        julia-arch: [x86]
+        os: [ubuntu-latest]
+    steps:
+      - uses: julia-actions/setup-julia@latest
+        with:
+          version: ${{ matrix.julia-version }}
+      - name: Pkg.add("CompatHelper")
+        run: julia -e 'using Pkg; Pkg.add("CompatHelper")'
+      - name: CompatHelper.main()
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: julia -e 'using CompatHelper; CompatHelper.main()'

.github/workflows/TagBot.yml

@@ -0,0 +1,11 @@
+name: TagBot
+on:
+  schedule:
+    - cron: 0 * * * *
+jobs:
+  TagBot:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: JuliaRegistries/TagBot@v1
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}

.travis.yml

@@ -4,12 +4,25 @@ os:
   - linux
   # - osx
 julia:
-  - 1.1
+  - 1
+  - 1.3
   - nightly
-  
+
 matrix:
   allow_failures:
-    - julia: nightly
+  - julia: nightly
+
+addons:
+  apt:
+    packages:
+      - at-spi2-core
+      - libgtk-3-dev
+      - xauth
+      - xvfb
+
+cache:
+  directories:
+  - $HOME/.julia/artifacts
 
 sudo: required
 before_install:
@@ -18,3 +31,8 @@ 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"add https://github.com/mkborregaard/RecipeUtils.jl"; Pkg.build(); Pkg.test(coverage=true)'

NEWS.md

@@ -3,14 +3,23 @@
 
 #### notes on release changes, ongoing development, and future planned work
 
-- Minor version 0.17 is the last one to support Julia 0.6!!
-- Minor version 0.11 is the last one to support Julia 0.5!!
-	- Critical bugfixes only
-    - `backports` branch is for Julia 0.5
-
----
 ## (current master)
 
+## 0.28.3
+- support generalized array interface
+- save to pdf, svg and eps in plotlyjs
+- fix for clims in line_z
+- optimize heatmap logic in gr
+
+## 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

Project.toml

@@ -1,7 +1,7 @@
 name = "Plots"
 uuid = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 author = ["Tom Breloff (@tbreloff)"]
-version = "0.26.2"
+version = "0.29.7"
 
 [deps]
 Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
@@ -21,6 +21,7 @@ PlotUtils = "995b91a9-d308-5afd-9ec6-746e21dbc043"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 REPL = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+RecipePipeline = "01d81517-befc-4cb6-b9ec-a95719d0359c"
 RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 Requires = "ae029012-a4dd-5104-9daa-d747884805df"
@@ -31,27 +32,39 @@ StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
 
 [compat]
-FixedPointNumbers = "≥ 0.3.0"
-GR = "≥ 0.31.0"
-PlotThemes = "≥ 0.1.3"
-PlotUtils = "≥ 0.4.1"
-RecipesBase = "≥ 0.6.0"
-StatsBase = "≥ 0.14.0"
-julia = "≥ 1.0.0"
+Contour = "0.5"
+FFMPEG = "0.2, 0.3"
+FixedPointNumbers = "0.6, 0.7"
+GR = "0.46, 0.47, 0.48"
+GeometryTypes = "0.7, 0.8"
+JSON = "0.21"
+Measures = "0.3"
+NaNMath = "0.3"
+PGFPlotsX = "1.2.0"
+PlotThemes = "1"
+PlotUtils = "0.6.1"
+RecipesBase = "0.8"
+Reexport = "0.2"
+Requires = "0.5, 1.0"
+Showoff = "0.3.1"
+StatsBase = "0.32"
+julia = "1"
 
 [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"
-Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
+LibGit2 = "76f85450-5226-5b5a-8eaa-529ad045b433"
+PGFPlotsX = "8314cec4-20b6-5062-9cdb-752b83310925"
 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 = ["BinaryProvider", "Pkg", "Test", "Random", "StatsPlots", "VisualRegressionTests", "LaTeXStrings", "Images", "ImageMagick", "RDatasets", "FileIO", "UnicodePlots"]
+test = ["FileIO", "GeometryTypes", "Gtk", "ImageMagick", "Images", "LaTeXStrings", "LibGit2", "PGFPlotsX", "Random", "RDatasets", "StatsPlots", "Test", "UnicodePlots", "VisualRegressionTests"]

README.md

@@ -1,13 +1,25 @@
 # Plots
 
-[![Build Status](https://travis-ci.org/JuliaPlots/Plots.jl.svg?branch=master)](https://travis-ci.org/JuliaPlots/Plots.jl)
-[![Build status](https://ci.appveyor.com/api/projects/status/github/juliaplots/plots.jl?branch=master&svg=true)](https://ci.appveyor.com/project/mkborregaard/plots-jl)
-[![Join the chat at https://gitter.im/tbreloff/Plots.jl](https://badges.gitter.im/tbreloff/Plots.jl.svg)](https://gitter.im/tbreloff/Plots.jl?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
-<a href="http://docs.juliaplots.org/latest/" target="_blank"><img src="https://img.shields.io/badge/docs-latest-blue.svg" alt="Latest documentation"></a>
-<!-- [![Plots](http://pkg.julialang.org/badges/Plots_0.3.svg)](http://pkg.julialang.org/?pkg=Plots&ver=0.3) -->
-<!-- [![Plots](http://pkg.julialang.org/badges/Plots_0.4.svg)](http://pkg.julialang.org/?pkg=Plots&ver=0.4) -->
-<!-- [![Coverage Status](https://coveralls.io/repos/tbreloff/Plots.jl/badge.svg?branch=master)](https://coveralls.io/r/tbreloff/Plots.jl?branch=master) -->
-<!-- [![codecov.io](http://codecov.io/github/tbreloff/Plots.jl/coverage.svg?branch=master)](http://codecov.io/github/tbreloff/Plots.jl?branch=master) -->
+[travis-img]: https://img.shields.io/travis/JuliaPlots/Plots.jl?logo=travis
+[travis-url]: https://travis-ci.org/JuliaPlots/Plots.jl
+
+[appveyor-img]: https://ci.appveyor.com/api/projects/status/github/juliaplots/plots.jl?branch=master&svg=true
+[appveyor-url]: https://ci.appveyor.com/project/mkborregaard/plots-jl
+
+[pkgeval-img]: https://juliaci.github.io/NanosoldierReports/pkgeval_badges/P/Plots.svg
+[pkgeval-url]: https://juliaci.github.io/NanosoldierReports/pkgeval_badges/report.html
+
+[gitter-img]: https://badges.gitter.im/tbreloff/Plots.jl.svg
+[gitter-url]: https://gitter.im/tbreloff/Plots.jl?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge
+
+[docs-img]: https://img.shields.io/badge/docs-stable-blue.svg
+[docs-url]: http://docs.juliaplots.org/latest/
+
+[![][travis-img]][travis-url]
+[![][appveyor-img]][appveyor-url]
+[![][pkgeval-img]][pkgeval-url]
+[![][gitter-img]][gitter-url]
+[![][docs-img]][docs-url]
 
 #### Created by Tom Breloff (@tbreloff)
 

appveyor.yml

@@ -2,6 +2,7 @@ environment:
   matrix:
   # - julia_version: 0.7
   - julia_version: 1
+  - julia_version: 1.3
   - julia_version: nightly
 
 platform:
@@ -19,6 +20,9 @@ branches:
     - master
     - /release-.*/
 
+cache:
+  - '%USERPROFILE%\.julia\artifacts'
+
 notifications:
   - provider: Email
     on_build_success: false

deps/generateprecompiles.jl

@@ -0,0 +1,51 @@
+# To figure out what should be precompiled, run this script, then move
+# precompile_Plots.jl in precompiles_path (see below) to src/precompile.jl
+
+# This script works by using SnoopCompile to log compilations that take place
+# while running the examples on the GR backend. So SnoopCompile must be
+# installed, and StatsPlots, RDatasets, and FileIO are also required for
+# certain examples.
+
+# If precompilation fails with an UndefVarError for a module, probably what is
+# happening is that the module appears in the precompile statements, but is
+# only visible to one of Plots' dependencies, and not Plots itself. Adding the
+# module to the blacklist below will remove these precompile statements.
+
+# Anonymous functions may appear in precompile statements as functions with
+# hashes in their name. Those of the form "#something##kw" have to do with
+# compiling functions with keyword arguments, and are named reproducibly, so
+# can be kept. Others generally will not work. Currently, SnoopCompile includes
+# some anonymous functions that not reproducible, but SnoopCompile PR #30
+# (which looks about to be merged) will ensure that anonymous functions are
+# actually defined before attempting to precompile them. Alternatively, we can
+# keep only the keyword argument related anonymous functions by changing the
+# regex that SnoopCompile uses to detect anonymous functions to
+# r"#{1,2}[^\"#]+#{1,2}\d+" (see anonrex in SnoopCompile.jl). To exclude all
+# precompile statements involving anonymous functions, "#" can also be added to
+# the blacklist below.
+
+using SnoopCompile
+
+log_path = joinpath(tempdir(), "compiles.log")
+precompiles_path = joinpath(tempdir(), "precompile")
+
+# run examples with GR backend, logging what needs to be compiled
+SnoopCompile.@snoopc log_path begin
+    using Plots
+    Plots.test_examples(:gr, disp=true)
+end
+
+# precompile calls containing the following strings are dropped
+blacklist = [
+    # functions defined in examples
+    "PlotExampleModule",
+    # the following are not visible to Plots, only its dependencies
+    "CategoricalArrays",
+    "FixedPointNumbers",
+    "SparseArrays",
+    r"#{1,2}[^\"#]+#{1,2}\d+",
+]
+
+data = SnoopCompile.read(log_path)
+pc = SnoopCompile.parcel(reverse!(data[2]), blacklist=blacklist)
+SnoopCompile.write(precompiles_path, pc)

pushtomaster.sh

@@ -1,4 +0,0 @@
-git checkout master
-git merge --ff-only dev
-git push origin master
-git checkout dev

src/Plots.jl

@@ -1,6 +1,6 @@
 module Plots
 
-_current_plots_version = v"0.26.1"
+const _current_plots_version = VersionNumber(split(first(filter(line -> occursin("version", line), readlines(normpath(@__DIR__, "..", "Project.toml")))), "\"")[2])
 
 using Reexport
 
@@ -11,13 +11,38 @@ import SparseArrays: findnz
 using FFMPEG
 
 @reexport using RecipesBase
-import RecipesBase: plot, plot!, animate
+import RecipesBase: plot, plot!, animate, is_explicit
 using Base.Meta
 @reexport using PlotUtils
 @reexport using PlotThemes
 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
 
 using Requires
 
@@ -222,4 +247,7 @@ end
 
 const CURRENT_BACKEND = CurrentBackend(:none)
 
+# include("precompile.jl")
+# _precompile_()
+
 end # module

src/animation.jl

@@ -64,10 +64,12 @@ gif(anim::Animation, fn = giffn(); kw...) = buildanimation(anim, fn; kw...)
 mov(anim::Animation, fn = movfn(); kw...) = buildanimation(anim, fn, false; kw...)
 mp4(anim::Animation, fn = mp4fn(); kw...) = buildanimation(anim, fn, false; kw...)
 
+ffmpeg_framerate(fps) = "$fps"
+ffmpeg_framerate(fps::Rational) = "$(fps.num)/$(fps.den)"
 
 function buildanimation(anim::Animation, fn::AbstractString,
                         is_animated_gif::Bool=true;
-                        fps::Integer = 20, loop::Integer = 0,
+                        fps::Real = 20, loop::Integer = 0,
                         variable_palette::Bool=false,
                         show_msg::Bool=true)
     if length(anim.frames) == 0
@@ -76,20 +78,21 @@ function buildanimation(anim::Animation, fn::AbstractString,
 
     fn = abspath(expanduser(fn))
     animdir = anim.dir
+    framerate = ffmpeg_framerate(fps)
 
     if is_animated_gif
         if variable_palette
             # generate a colorpalette for each frame for highest quality, but larger filesize
             palette="palettegen=stats_mode=single[pal],[0:v][pal]paletteuse=new=1"
-            ffmpeg_exe(`-v 0 -framerate $fps -loop $loop -i $(animdir)/%06d.png -lavfi "$palette" -y $fn`)
+            ffmpeg_exe(`-v 0 -framerate $framerate -loop $loop -i $(animdir)/%06d.png -lavfi "$palette" -y $fn`)
         else
             # generate a colorpalette first so ffmpeg does not have to guess it
             ffmpeg_exe(`-v 0 -i $(animdir)/%06d.png -vf "palettegen=stats_mode=diff" -y "$(animdir)/palette.bmp"`)
             # then apply the palette to get better results
-            ffmpeg_exe(` -v 0 -framerate $fps -loop $loop -i $(animdir)/%06d.png -i "$(animdir)/palette.bmp" -lavfi "paletteuse=dither=sierra2_4a" -y $fn`)
+            ffmpeg_exe(` -v 0 -framerate $framerate -loop $loop -i $(animdir)/%06d.png -i "$(animdir)/palette.bmp" -lavfi "paletteuse=dither=sierra2_4a" -y $fn`)
         end
     else
-        ffmpeg_exe(`-v 0 -framerate $fps -loop $loop -i $(animdir)/%06d.png -pix_fmt yuv420p -y $fn`)
+        ffmpeg_exe(`-v 0 -framerate $framerate -loop $loop -i $(animdir)/%06d.png -pix_fmt yuv420p -y $fn`)
     end
 
     show_msg && @info("Saved animation to ", fn)
@@ -101,13 +104,18 @@ end
 # write out html to view the gif
 function Base.show(io::IO, ::MIME"text/html", agif::AnimatedGif)
     ext = file_extension(agif.filename)
-    write(io, if ext == "gif"
-        "<img src=\"$(relpath(agif.filename))\" />"
+    if ext == "gif"
+        html = "<img src=\"data:image/gif;base64," * base64encode(read(agif.filename)) * "\" />"
     elseif ext in ("mov", "mp4")
-        "<video controls><source src=\"$(relpath(agif.filename)) type=\"video/$ext\"></video>"
+        mimetype = ext == "mov" ? "video/quicktime" : "video/mp4"
+        html = "<video controls><source src=\"data:$mimetype;base64," *
+               base64encode(read(agif.filename)) *
+               "\" type = \"$mimetype\"></video>"
     else
         error("Cannot show animation with extension $ext: $agif")
-    end)
+    end
+
+    write(io, html)
     return nothing
 end
 
@@ -155,16 +163,16 @@ function _animate(forloop::Expr, args...; callgif = false)
     error("Unsupported animate filter: $args")
   end
 
-  push!(block.args, :(if $filterexpr; frame($animsym); end))
+  push!(block.args, :(if $filterexpr; Plots.frame($animsym); end))
   push!(block.args, :(global $countersym += 1))
 
   # add a final call to `gif(anim)`?
-  retval = callgif ? :(gif($animsym)) : animsym
+  retval = callgif ? :(Plots.gif($animsym)) : animsym
 
   # full expression:
   esc(quote
     $freqassert             # if filtering, check frequency is an Integer > 0
-    $animsym = Animation()  # init animation object
+    $animsym = Plots.Animation()  # init animation object
     global $countersym = 1         # init iteration counter
     $forloop                # for loop, saving a frame after each iteration
     $retval                 # return the animation object, or the gif

src/arg_desc.jl

@@ -42,6 +42,7 @@ const _arg_desc = KW(
 :arrow             	=> "nothing (no arrows), Bool (if true, default arrows), Arrow object, or arg(s) that could be style or head length/widths.  Defines arrowheads that should be displayed at the end of path line segments (just before a NaN and the last non-NaN point).  Used in quiverplot, streamplot, or similar.",
 :normalize         	=> "Bool or Symbol. Histogram normalization mode. Possible values are: false/:none (no normalization, default), true/:pdf (normalize to a discrete Probability Density Function, where the total area of the bins is 1), :probability (bin heights sum to 1) and :density (the area of each bin, rather than the height, is equal to the counts - useful for uneven bin sizes).",
 :weights           	=> "AbstractVector. Used in histogram types for weighted counts.",
+:show_empty_bins    => "Bool. Whether empty bins in a 2D histogram are colored as 0 (true), or transparent (the default).",
 :contours          	=> "Bool. Add contours to the side-grids of 3D plots?  Used in surface/wireframe.",
 :contour_labels         => "Bool. Show labels at the contour lines?",
 :match_dimensions  	=> "Bool. For heatmap types... should the first dimension of a matrix (rows) correspond to the first dimension of the plot (x-axis)?  The default is false, which matches the behavior of Matplotlib, Plotly, and others.  Note: when passing a function for z, the function should still map `(x,y) -> z`.",
@@ -50,7 +51,7 @@ const _arg_desc = KW(
 :primary                => "Bool.  Does this count as a 'real series'?  For example, you could have a path (primary), and a scatter (secondary) as 2 separate series, maybe with different data (see sticks recipe for an example).  The secondary series will get the same color, etc as the primary.",
 :hover 	        	=> "nothing or vector of strings. Text to display when hovering over each data point.",
 :colorbar_entry   => "Bool.  Include this series in the color bar?  Set to `false` to exclude.",
-  
+
 # plot args
 :plot_title               => "String. Title for the whole plot (not the subplots) (Note: Not currently implemented)",
 :background_color         => "Color Type.  Base color for all backgrounds.",
@@ -95,9 +96,16 @@ 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.",

src/args.jl

@@ -90,7 +90,7 @@ 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]))
+is3d(plotattributes::AKW) = trueOrAllTrue(is3d, Symbol(plotattributes[:seriestype]))
 
 is3d(sp::Subplot) = string(sp.attr[:projection]) == "3d"
 ispolar(sp::Subplot) = string(sp.attr[:projection]) == "polar"
@@ -272,6 +272,7 @@ const _series_defaults = KW(
     :arrow             => nothing,   # allows for adding arrows to line/path... call `arrow(args...)`
     :normalize         => false,     # do we want a normalized histogram?
     :weights           => nothing,   # optional weights for histograms (1D and 2D)
+    :show_empty_bins   => false,     # should empty bins in 2D histogram be colored as zero (otherwise they are transparent)
     :contours          => false,     # add contours to 3d surface and wireframe plots
     :contour_labels    => false,
     :match_dimensions  => false,     # do rows match x (true) or y (false) for heatmap/image/spy? see issue 196
@@ -336,9 +337,15 @@ 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
+    :aspect_ratio             => :auto,             # choose from :none or :equal
     :margin                   => 1mm,
     :left_margin              => :match,
     :top_margin               => :match,
@@ -411,37 +418,26 @@ const _suppress_warnings = Set{Symbol}([
 
 # add defaults for the letter versions
 const _axis_defaults_byletter = KW()
-for letter in (:x,:y,:z)
-    for k in keys(_axis_defaults)
-    # for k in (
-    #             :guide,
-    #             :lims,
-    #             :ticks,
-    #             :scale,
-    #             :rotation,
-    #             :flip,
-    #             :link,
-    #             :tickfont,
-    #             :guidefont,
-    #             :foreground_color_axis,
-    #             :foreground_color_border,
-    #             :foreground_color_text,
-    #             :foreground_color_guide,
-    #             :discrete_values,
-    #             :formatter,
-    #         )
-        _axis_defaults_byletter[Symbol(letter,k)] = :match
 
-        # allow the underscore version too: xguide or x_guide
-        add_aliases(Symbol(letter, k), Symbol(letter, "_", k))
+function reset_axis_defaults_byletter!()
+    for letter in (:x,:y,:z)
+        _axis_defaults_byletter[letter] = KW()
+        for (k,v) in _axis_defaults
+            _axis_defaults_byletter[letter][k] = v
+        end
     end
 end
+reset_axis_defaults_byletter!()
+
+for letter in (:x,:y,:z), k in keys(_axis_defaults)
+    # allow the underscore version too: xguide or x_guide
+    add_aliases(Symbol(letter, k), Symbol(letter, "_", k))
+end
 
 const _all_defaults = KW[
     _series_defaults,
     _plot_defaults,
-    _subplot_defaults,
-    _axis_defaults_byletter
+    _subplot_defaults
 ]
 
 const _initial_defaults = deepcopy(_all_defaults)
@@ -450,11 +446,18 @@ 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],
                                 :legendfontsize => _subplot_defaults[:legendfontsize],
+                                :legendtitlefontsize => _subplot_defaults[:legendtitlefontsize],
                                 :tickfontsize   => _axis_defaults[:tickfontsize],
                                 :guidefontsize  => _axis_defaults[:guidefontsize])
 
 const _all_args = sort(collect(union(map(keys, _all_defaults)...)))
 
+is_subplot_attr(k) = haskey(_subplot_defaults, k)
+is_series_attr(k) = haskey(_series_defaults, k)
+#is_axis_attr(k) = haskey(_axis_defaults_byletter, k)
+is_axis_attr(k) = haskey(_axis_defaults, Symbol(chop(string(k); head=1, tail=0)))
+is_axis_attr_noletter(k) = haskey(_axis_defaults, k)
+
 RecipesBase.is_key_supported(k::Symbol) = is_attr_supported(k)
 
 # -----------------------------------------------------------------------------
@@ -467,7 +470,7 @@ 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
 
-function aliasesAndAutopick(plotattributes::KW, sym::Symbol, aliases::Dict{Symbol,Symbol}, options::AVec, plotIndex::Int)
+function aliasesAndAutopick(plotattributes::AKW, 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])
@@ -574,6 +577,7 @@ add_aliases(:xerror, :xerr, :xerrorbar)
 add_aliases(:yerror, :yerr, :yerrorbar, :err, :errorbar)
 add_aliases(:quiver, :velocity, :quiver2d, :gradient, :vectorfield)
 add_aliases(:normalize, :norm, :normed, :normalized)
+add_aliases(:show_empty_bins, :showemptybins, :showempty, :show_empty)
 add_aliases(:aspect_ratio, :aspectratio, :axis_ratio, :axisratio, :ratio)
 add_aliases(:match_dimensions, :transpose, :transpose_z)
 add_aliases(:subplot, :sp, :subplt, :splt)
@@ -602,6 +606,16 @@ end
 
 # -----------------------------------------------------------------------------
 
+function parse_axis_kw(s::Symbol)
+    s = string(s)
+    for letter in ('x', 'y', 'z')
+        if startswith(s, letter)
+            return (Symbol(letter), Symbol(chop(s, head=1, tail=0)))
+        end
+    end
+    return nothing
+end
+
 # update the defaults globally
 
 """
@@ -620,6 +634,10 @@ function default(k::Symbol)
     if haskey(_axis_defaults, k)
         return _axis_defaults[k]
     end
+    if (axis_k = parse_axis_kw(k)) !== nothing
+        letter, key = axis_k
+        return _axis_defaults_byletter[letter][key]
+    end
     k in _suppress_warnings || error("Unknown key: ", k)
 end
 
@@ -635,6 +653,11 @@ function default(k::Symbol, v)
         _axis_defaults[k] = v
         return v
     end
+    if (axis_k = parse_axis_kw(k)) !== nothing
+        letter, key = axis_k
+        _axis_defaults_byletter[letter][key] = v
+        return v
+    end
     k in _suppress_warnings || error("Unknown key: ", k)
 end
 
@@ -646,19 +669,20 @@ function default(; kw...)
     end
 end
 
-function default(plotattributes::KW, k::Symbol)
+function default(plotattributes::AKW, k::Symbol)
     get(plotattributes, k, default(k))
 end
 
 function reset_defaults()
     foreach(merge!, _all_defaults, _initial_defaults)
     merge!(_axis_defaults, _initial_axis_defaults)
+    reset_axis_defaults_byletter!()
 end
 
 # -----------------------------------------------------------------------------
 
 # if arg is a valid color value, then set plotattributes[csym] and return true
-function handleColors!(plotattributes::KW, arg, csym::Symbol)
+function handleColors!(plotattributes::AKW, arg, csym::Symbol)
     try
         if arg == :auto
             plotattributes[csym] = :auto
@@ -675,7 +699,7 @@ end
 
 
 
-function processLineArg(plotattributes::KW, arg)
+function processLineArg(plotattributes::AKW, arg)
     # seriestype
     if allLineTypes(arg)
         plotattributes[:seriestype] = arg
@@ -714,7 +738,7 @@ function processLineArg(plotattributes::KW, arg)
 end
 
 
-function processMarkerArg(plotattributes::KW, arg)
+function processMarkerArg(plotattributes::AKW, arg)
     # markershape
     if allShapes(arg)
         plotattributes[:markershape] = arg
@@ -754,7 +778,7 @@ function processMarkerArg(plotattributes::KW, arg)
 end
 
 
-function processFillArg(plotattributes::KW, arg)
+function processFillArg(plotattributes::AKW, arg)
     # fr = get(plotattributes, :fillrange, 0)
     if typeof(arg) <: Brush
         arg.size  === nothing || (plotattributes[:fillrange] = arg.size)
@@ -777,7 +801,6 @@ function processFillArg(plotattributes::KW, arg)
         plotattributes[:fillrange] = arg
 
     elseif !handleColors!(plotattributes, arg, :fillcolor)
-
         plotattributes[:fillrange] = arg
     end
     # plotattributes[:fillrange] = fr
@@ -785,7 +808,7 @@ function processFillArg(plotattributes::KW, arg)
 end
 
 
-function processGridArg!(plotattributes::KW, arg, letter)
+function processGridArg!(plotattributes::AKW, arg, letter)
     if arg in _allGridArgs || isa(arg, Bool)
         plotattributes[Symbol(letter, :grid)] = hasgrid(arg, letter)
 
@@ -813,7 +836,7 @@ function processGridArg!(plotattributes::KW, arg, letter)
     end
 end
 
-function processMinorGridArg!(plotattributes::KW, arg, letter)
+function processMinorGridArg!(plotattributes::AKW, arg, letter)
     if arg in _allGridArgs || isa(arg, Bool)
         plotattributes[Symbol(letter, :minorgrid)] = hasgrid(arg, letter)
 
@@ -846,7 +869,7 @@ function processMinorGridArg!(plotattributes::KW, arg, letter)
     end
 end
 
-function processFontArg!(plotattributes::KW, fontname::Symbol, arg)
+function processFontArg!(plotattributes::AKW, fontname::Symbol, arg)
     T = typeof(arg)
     if T <: Font
         plotattributes[Symbol(fontname, :family)] = arg.family
@@ -883,7 +906,7 @@ _replace_markershape(shape::Symbol) = get(_markerAliases, shape, shape)
 _replace_markershape(shapes::AVec) = map(_replace_markershape, shapes)
 _replace_markershape(shape) = shape
 
-function _add_markershape(plotattributes::KW)
+function _add_markershape(plotattributes::AKW)
     # add the markershape if it needs to be added... hack to allow "m=10" to add a shape,
     # and still allow overriding in _apply_recipe
     ms = pop!(plotattributes, :markershape_to_add, :none)
@@ -893,7 +916,7 @@ function _add_markershape(plotattributes::KW)
 end
 
 "Handle all preprocessing of args... break out colors/sizes/etc and replace aliases."
-function preprocessArgs!(plotattributes::KW)
+function preprocessArgs!(plotattributes::AKW)
     replaceAliases!(plotattributes, _keyAliases)
 
     # clear all axis stuff
@@ -913,7 +936,7 @@ function preprocessArgs!(plotattributes::KW)
     # end
 
     # handle axis args common to all axis
-    args = pop!(plotattributes, :axis, ())
+    args = pop_kw!(plotattributes, :axis, ())
     for arg in wraptuple(args)
         for letter in (:x, :y, :z)
             process_axis_arg!(plotattributes, arg, letter)
@@ -922,7 +945,7 @@ function preprocessArgs!(plotattributes::KW)
     # handle axis args
     for letter in (:x, :y, :z)
         asym = Symbol(letter, :axis)
-        args = pop!(plotattributes, asym, ())
+        args = pop_kw!(plotattributes, asym, ())
         if !(typeof(args) <: Axis)
             for arg in wraptuple(args)
                 process_axis_arg!(plotattributes, arg, letter)
@@ -930,8 +953,17 @@ 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, ())
+    args = pop_kw!(plotattributes, :grid, ())
     for arg in wraptuple(args)
         for letter in (:x, :y, :z)
             processGridArg!(plotattributes, arg, letter)
@@ -940,13 +972,13 @@ function preprocessArgs!(plotattributes::KW)
     # handle individual axes grid args
     for letter in (:x, :y, :z)
         gridsym = Symbol(letter, :grid)
-        args = pop!(plotattributes, gridsym, ())
+        args = pop_kw!(plotattributes, gridsym, ())
         for arg in wraptuple(args)
             processGridArg!(plotattributes, arg, letter)
         end
     end
     # handle minor grid args common to all axes
-    args = pop!(plotattributes, :minorgrid, ())
+    args = pop_kw!(plotattributes, :minorgrid, ())
     for arg in wraptuple(args)
         for letter in (:x, :y, :z)
             processMinorGridArg!(plotattributes, arg, letter)
@@ -955,21 +987,21 @@ function preprocessArgs!(plotattributes::KW)
     # handle individual axes grid args
     for letter in (:x, :y, :z)
         gridsym = Symbol(letter, :minorgrid)
-        args = pop!(plotattributes, gridsym, ())
+        args = pop_kw!(plotattributes, gridsym, ())
         for arg in wraptuple(args)
             processMinorGridArg!(plotattributes, arg, letter)
         end
     end
     # fonts
-    for fontname in (:titlefont, :legendfont)
-        args = pop!(plotattributes, fontname, ())
+    for fontname in (:titlefont, :legendfont, :legendtitlefont)
+        args = pop_kw!(plotattributes, fontname, ())
         for arg in wraptuple(args)
             processFontArg!(plotattributes, fontname, arg)
         end
     end
     # handle font args common to all axes
     for fontname in (:tickfont, :guidefont)
-        args = pop!(plotattributes, fontname, ())
+        args = pop_kw!(plotattributes, fontname, ())
         for arg in wraptuple(args)
             for letter in (:x, :y, :z)
                 processFontArg!(plotattributes, Symbol(letter, fontname), arg)
@@ -979,7 +1011,7 @@ function preprocessArgs!(plotattributes::KW)
     # handle individual axes font args
     for letter in (:x, :y, :z)
         for fontname in (:tickfont, :guidefont)
-            args = pop!(plotattributes, Symbol(letter, fontname), ())
+            args = pop_kw!(plotattributes, Symbol(letter, fontname), ())
             for arg in wraptuple(args)
                 processFontArg!(plotattributes, Symbol(letter, fontname), arg)
             end
@@ -987,7 +1019,7 @@ function preprocessArgs!(plotattributes::KW)
     end
 
     # handle line args
-    for arg in wraptuple(pop!(plotattributes, :line, ()))
+    for arg in wraptuple(pop_kw!(plotattributes, :line, ()))
         processLineArg(plotattributes, arg)
     end
 
@@ -1001,7 +1033,7 @@ function preprocessArgs!(plotattributes::KW)
         processMarkerArg(plotattributes, arg)
         anymarker = true
     end
-    delete!(plotattributes, :marker)
+    reset_kw!(plotattributes, :marker)
     if haskey(plotattributes, :markershape)
         plotattributes[:markershape] = _replace_markershape(plotattributes[:markershape])
         if plotattributes[:markershape] == :none && plotattributes[:seriestype] in (:scatter, :scatterbins, :scatterhist, :scatter3d) #the default should be :auto, not :none, so that :none can be set explicitly and would be respected
@@ -1015,7 +1047,7 @@ function preprocessArgs!(plotattributes::KW)
     for arg in wraptuple(get(plotattributes, :fill, ()))
         processFillArg(plotattributes, arg)
     end
-    delete!(plotattributes, :fill)
+    reset_kw!(plotattributes, :fill)
 
     # handle series annotations
     if haskey(plotattributes, :series_annotations)
@@ -1080,7 +1112,7 @@ function extractGroupArgs(v::AVec, args...; legendEntry = string)
     if n > 100
         @warn("You created n=$n groups... Is that intended?")
     end
-    groupIds = Vector{Int}[filter(i -> v[i] == glab, 1:length(v)) for glab in groupLabels]
+    groupIds = Vector{Int}[filter(i -> v[i] == glab, eachindex(v)) for glab in groupLabels]
     GroupBy(map(legendEntry, groupLabels), groupIds)
 end
 
@@ -1088,7 +1120,7 @@ legendEntryFromTuple(ns::Tuple) = join(ns, ' ')
 
 # this is when given a tuple of vectors of values to group by
 function extractGroupArgs(vs::Tuple, args...)
-    isempty(vs) && return GroupBy([""], [1:size(args[1],1)])
+    isempty(vs) && return GroupBy([""], [axes(args[1],1)])
     v = map(tuple, vs...)
     extractGroupArgs(v, args...; legendEntry = legendEntryFromTuple)
 end
@@ -1098,7 +1130,7 @@ legendEntryFromTuple(ns::NamedTuple) =
     join(["$k = $v" for (k, v) in pairs(ns)], ", ")
 
 function extractGroupArgs(vs::NamedTuple, args...)
-    isempty(vs) && return GroupBy([""], [1:size(args[1],1)])
+    isempty(vs) && return GroupBy([""], [axes(args[1],1)])
     v = map(NamedTuple{keys(vs)}∘tuple, values(vs)...)
     extractGroupArgs(v, args...; legendEntry = legendEntryFromTuple)
 end
@@ -1113,13 +1145,13 @@ end
 filter_data(v::AVec, idxfilter::AVec{Int}) = v[idxfilter]
 filter_data(v, idxfilter) = v
 
-function filter_data!(plotattributes::KW, idxfilter)
+function filter_data!(plotattributes::AKW, idxfilter)
     for s in (:x, :y, :z)
         plotattributes[s] = filter_data(get(plotattributes, s, nothing), idxfilter)
     end
 end
 
-function _filter_input_data!(plotattributes::KW)
+function _filter_input_data!(plotattributes::AKW)
     idxfilter = pop!(plotattributes, :idxfilter, nothing)
     if idxfilter !== nothing
         filter_data!(plotattributes, idxfilter)
@@ -1132,7 +1164,7 @@ end
 const _already_warned = Dict{Symbol,Set{Symbol}}()
 const _to_warn = Set{Symbol}()
 
-function warnOnUnsupported_args(pkg::AbstractBackend, plotattributes::KW)
+function warnOnUnsupported_args(pkg::AbstractBackend, plotattributes)
     empty!(_to_warn)
     bend = backend_name(pkg)
     already_warned = get!(_already_warned, bend, Set{Symbol}())
@@ -1156,7 +1188,7 @@ end
 # _markershape_supported(pkg::AbstractBackend, shape::Shape) = Shape in supported_markers(pkg)
 # _markershape_supported(pkg::AbstractBackend, shapes::AVec) = all([_markershape_supported(pkg, shape) for shape in shapes])
 
-function warnOnUnsupported(pkg::AbstractBackend, plotattributes::KW)
+function warnOnUnsupported(pkg::AbstractBackend, plotattributes)
     if !is_seriestype_supported(pkg, plotattributes[:seriestype])
         @warn("seriestype $(plotattributes[:seriestype]) is unsupported with $pkg.  Choose from: $(supported_seriestypes(pkg))")
     end
@@ -1168,7 +1200,7 @@ function warnOnUnsupported(pkg::AbstractBackend, plotattributes::KW)
     end
 end
 
-function warnOnUnsupported_scales(pkg::AbstractBackend, plotattributes::KW)
+function warnOnUnsupported_scales(pkg::AbstractBackend, plotattributes::AKW)
     for k in (:xscale, :yscale, :zscale, :scale)
         if haskey(plotattributes, k)
             v = plotattributes[k]
@@ -1207,24 +1239,26 @@ convertLegendValue(v::AbstractArray) = map(convertLegendValue, v)
 # anything else is returned as-is
 function slice_arg(v::AMat, idx::Int)
     c = mod1(idx, size(v,2))
-    size(v,1) == 1 ? v[1,c] : v[:,c]
+    m,n = axes(v)
+    size(v,1) == 1 ? v[first(m),n[c]] : v[:,n[c]]
 end
 slice_arg(wrapper::InputWrapper, idx) = wrapper.obj
 slice_arg(v, idx) = v
 
 
-# given an argument key (k), we want to extract the argument value for this index.
-# matrices are sliced by column, otherwise we
-# if nothing is set (or container is empty), return the default or the existing value.
-function slice_arg!(plotattributes_in::KW,plotattributes_out::KW, k::Symbol, default_value, idx::Int, remove_pair::Bool)
-    v = get(plotattributes_in, k, get(plotattributes_out, k, default_value))
-   plotattributes_out[k] = if haskey(plotattributes_in, k) && typeof(v) <: AMat && !isempty(v)
+# given an argument key (k), extract the argument value for this index,
+# and set into plotattributes[k]. Matrices are sliced by column.
+# if nothing is set (or container is empty), return the existing value.
+function slice_arg!(plotattributes_in, plotattributes_out,
+                    k::Symbol, idx::Int, remove_pair::Bool)
+    v = get(plotattributes_in, k, plotattributes_out[k])
+    plotattributes_out[k] = if haskey(plotattributes_in, k) && typeof(v) <: AMat && !isempty(v)
         slice_arg(v, idx)
     else
         v
     end
     if remove_pair
-        delete!(plotattributes_in, k)
+        reset_kw!(plotattributes_in, k)
     end
     return
 end
@@ -1233,7 +1267,7 @@ end
 
 # # if the value is `:match` then we take whatever match_color is.
 # # this is mainly used for cascading defaults for foreground and background colors
-# function color_or_match!(plotattributes::KW, k::Symbol, match_color)
+# function color_or_match!(plotattributes::AKW, k::Symbol, match_color)
 #     v = plotattributes[k]
 #     plotattributes[k] = if v == :match
 #         match_color
@@ -1244,15 +1278,9 @@ end
 #     end
 # end
 
-function color_or_nothing!(plotattributes::KW, k::Symbol)
+function color_or_nothing!(plotattributes, k::Symbol)
     v = plotattributes[k]
-    plotattributes[k] = if v === nothing || v == false
-        RGBA{Float64}(0,0,0,0)
-    elseif v != :match
-        plot_color(v)
-    else
-        v
-    end
+    plotattributes[k] = v == :match ? v : plot_color(v)
     return
 end
 
@@ -1271,8 +1299,10 @@ 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,
 )
@@ -1349,18 +1379,18 @@ Base.get(series::Series, k::Symbol, v) = get(series.plotattributes, k, v)
 
 # -----------------------------------------------------------------------------
 
-function fg_color(plotattributes::KW)
-    fg = default(plotattributes, :foreground_color)
+function fg_color(plotattributes::AKW)
+    fg = get(plotattributes, :foreground_color, :auto)
     if fg == :auto
-        bg = plot_color(default(plotattributes, :background_color))
+        bg = plot_color(get(plotattributes, :background_color, :white))
         fg = isdark(bg) ? colorant"white" : colorant"black"
     else
         plot_color(fg)
     end
 end
 
-function fg_color_sp(plotattributes::KW)
-    fgsp = default(plotattributes, :foreground_color_subplot)
+function fg_color_sp(plotattributes::AKW)
+    fgsp = get(plotattributes, :foreground_color_subplot, :match)
     if fg == :match
         fg_color(plotattributes)
     else
@@ -1371,13 +1401,13 @@ end
 
 
 # update attr from an input dictionary
-function _update_plot_args(plt::Plot, plotattributes_in::KW)
+function _update_plot_args(plt::Plot, plotattributes_in::AKW)
     for (k,v) in _plot_defaults
-        slice_arg!(plotattributes_in, plt.attr, k, v, 1, true)
+        slice_arg!(plotattributes_in, plt.attr, k, 1, true)
     end
 
     # handle colors
-   plotattributes= plt.attr
+    plotattributes= plt.attr
     plt[:background_color] = plot_color(plotattributes[:background_color])
     plt[:foreground_color] = fg_color(plotattributes)
     # bg = plot_color(plt.attr[:background_color])
@@ -1424,7 +1454,7 @@ function _update_subplot_colors(sp::Subplot)
     return
 end
 
-function _update_axis(plt::Plot, sp::Subplot, plotattributes_in::KW, letter::Symbol, subplot_index::Int)
+function _update_axis(plt::Plot, sp::Subplot, plotattributes_in::AKW, letter::Symbol, subplot_index::Int)
     # get (maybe initialize) the axis
     axis = get_axis(sp, letter)
 
@@ -1440,13 +1470,13 @@ function _update_axis(plt::Plot, sp::Subplot, plotattributes_in::KW, letter::Sym
     return
 end
 
-function _update_axis(axis::Axis, plotattributes_in::KW, letter::Symbol, subplot_index::Int)
+function _update_axis(axis::Axis, plotattributes_in::AKW, letter::Symbol, subplot_index::Int)
     # grab magic args (for example `xaxis = (:flip, :log)`)
     args = wraptuple(get(plotattributes_in, Symbol(letter, :axis), ()))
 
     # build the KW of arguments from the letter version (i.e. xticks --> ticks)
     kw = KW()
-    for (k,v) in _axis_defaults
+    for k in keys(_axis_defaults)
         # first get the args without the letter: `tickfont = font(10)`
         # note: we don't pop because we want this to apply to all axes! (delete after all have finished)
         if haskey(plotattributes_in, k)
@@ -1491,12 +1521,12 @@ function _update_axis_links(plt::Plot, axis::Axis, letter::Symbol)
 end
 
 # update a subplots args and axes
-function _update_subplot_args(plt::Plot, sp::Subplot, plotattributes_in::KW, subplot_index::Int, remove_pair::Bool)
-    anns = pop!(sp.attr, :annotations, [])
+function _update_subplot_args(plt::Plot, sp::Subplot, plotattributes_in, subplot_index::Int, remove_pair::Bool)
+    anns = pop_kw!(sp.attr, :annotations)
 
-    # grab those args which apply to this subplot
-    for (k,v) in _subplot_defaults
-        slice_arg!(plotattributes_in, sp.attr, k, v, subplot_index, remove_pair)
+    # # grab those args which apply to this subplot
+    for k in keys(_subplot_defaults)
+        slice_arg!(plotattributes_in, sp.attr, k, subplot_index, remove_pair)
     end
 
     _update_subplot_periphery(sp, anns)
@@ -1530,30 +1560,27 @@ function get_series_color(c::AbstractArray, sp::Subplot, n::Int, seriestype)
     map(x->get_series_color(x, sp, n, seriestype), c)
 end
 
-function ensure_gradient!(plotattributes::KW, csym::Symbol, asym::Symbol)
+function ensure_gradient!(plotattributes::AKW, csym::Symbol, asym::Symbol)
     if !isa(plotattributes[csym], ColorGradient)
         plotattributes[csym] = typeof(plotattributes[asym]) <: AbstractVector ? cgrad() : cgrad(alpha = plotattributes[asym])
     end
 end
 
-function _replace_linewidth(plotattributes::KW)
+function _replace_linewidth(plotattributes::AKW)
     # get a good default linewidth... 0 for surface and heatmaps
-    if get(plotattributes, :linewidth, :auto) == :auto
+    if plotattributes[:linewidth] == :auto
         plotattributes[:linewidth] = (get(plotattributes, :seriestype, :path) in (:surface,:heatmap,:image) ? 0 : 1)
     end
 end
 
-function _add_defaults!(plotattributes::KW, plt::Plot, sp::Subplot, commandIndex::Int)
-    # add default values to our dictionary, being careful not to delete what we just added!
-    for (k,v) in _series_defaults
-        slice_arg!(plotattributes, plotattributes, k, v, commandIndex, false)
+function _slice_series_args!(plotattributes::AKW, plt::Plot, sp::Subplot, commandIndex::Int)
+    for k in keys(_series_defaults)
+        haskey(plotattributes, k) && slice_arg!(plotattributes, plotattributes, k, commandIndex, false)
     end
-
     return plotattributes
 end
 
-
-function _update_series_attributes!(plotattributes::KW, plt::Plot, sp::Subplot)
+function _update_series_attributes!(plotattributes::AKW, plt::Plot, sp::Subplot)
     pkg = plt.backend
     globalIndex = plotattributes[:series_plotindex]
     plotIndex = _series_index(plotattributes, sp)
@@ -1623,6 +1650,7 @@ function _update_series_attributes!(plotattributes::KW, plt::Plot, sp::Subplot)
     # set label
     label = plotattributes[:label]
     label = (label == "AUTO" ? "y$globalIndex" : label)
+    label = label in (:none, nothing, false) ? "" : label
     plotattributes[:label] = label
 
     _replace_linewidth(plotattributes)

src/axes.jl

@@ -7,29 +7,20 @@
 # -------------------------------------------------------------------------
 
 function Axis(sp::Subplot, letter::Symbol, args...; kw...)
-    # init with values from _plot_defaults
-    plotattributes = KW(
+    explicit = KW(
         :letter => letter,
-        # :extrema => (Inf, -Inf),
         :extrema => Extrema(),
         :discrete_map => Dict(),   # map discrete values to discrete indices
         :continuous_values => zeros(0),
+        :discrete_values => [],
         :use_minor => false,
         :show => true,  # show or hide the axis? (useful for linked subplots)
     )
 
-    # get defaults from letter version, unless match
-    for (k,v) in _axis_defaults
-        lk = Symbol(letter, k)
-        lv = _axis_defaults_byletter[lk]
-        plotattributes[k] = (lv == :match ? v : lv)
-    end
-
-    # merge!(plotattributes, _axis_defaults)
-    plotattributes[:discrete_values] = []
+    attr = Attr(explicit, _axis_defaults_byletter[letter])
 
     # update the defaults
-    attr!(Axis([sp], plotattributes), args...; kw...)
+    attr!(Axis([sp], attr), args...; kw...)
 end
 
 function get_axis(sp::Subplot, letter::Symbol)
@@ -41,7 +32,7 @@ function get_axis(sp::Subplot, letter::Symbol)
     end::Axis
 end
 
-function process_axis_arg!(plotattributes::KW, arg, letter = "")
+function process_axis_arg!(plotattributes::AKW, arg, letter = "")
     T = typeof(arg)
     arg = get(_scaleAliases, arg, arg)
 
@@ -218,6 +209,8 @@ 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)
@@ -295,7 +288,7 @@ function get_minor_ticks(sp, axis, ticks)
     #Add one phantom tick either side of the ticks to ensure minor ticks extend to the axis limits
     if length(ticks) > 2
         ratio = (ticks[3] - ticks[2])/(ticks[2] - ticks[1])
-    elseif axis[:scale] == :none
+    elseif axis[:scale] in (:none, :identity)
         ratio = 1
     else
         return nothing
@@ -309,7 +302,9 @@ function get_minor_ticks(sp, axis, ticks)
     minorticks = typeof(ticks[1])[]
     for (i,hi) in enumerate(ticks[2:end])
         lo = ticks[i]
-        append!(minorticks,collect(lo + (hi-lo)/n :(hi-lo)/n: hi - (hi-lo)/2n))
+        if isfinite(lo) && hi > lo
+            append!(minorticks,collect(lo + (hi-lo)/n :(hi-lo)/n: hi - (hi-lo)/2n))
+        end
     end
     minorticks[amin .<= minorticks .<= amax]
 end
@@ -357,7 +352,7 @@ function expand_extrema!(axis::Axis, v::AVec{N}) where N<:Number
 end
 
 
-function expand_extrema!(sp::Subplot, plotattributes::KW)
+function expand_extrema!(sp::Subplot, plotattributes::AKW)
     vert = isvertical(plotattributes)
 
     # first expand for the data
@@ -573,10 +568,10 @@ end
 
 # add the discrete value for each item.  return the continuous values and the indices
 function discrete_value!(axis::Axis, v::AVec)
-    n = length(v)
-    cvec = zeros(n)
-    discrete_indices = zeros(Int, n)
-    for i=1:n
+    n = eachindex(v)
+    cvec = zeros(axes(v))
+    discrete_indices = similar(Array{Int}, axes(v))
+    for i in n
         cvec[i], discrete_indices[i] = discrete_value!(axis, v[i])
     end
     cvec, discrete_indices
@@ -584,10 +579,10 @@ end
 
 # add the discrete value for each item.  return the continuous values and the indices
 function discrete_value!(axis::Axis, v::AMat)
-    n,m = size(v)
-    cmat = zeros(n,m)
-    discrete_indices = zeros(Int, n, m)
-    for i=1:n, j=1:m
+    n,m = axes(v)
+    cmat = zeros(axes(v))
+    discrete_indices = similar(Array{Int}, axes(v))
+    for i in n, j in m
         cmat[i,j], discrete_indices[i,j] = discrete_value!(axis, v[i,j])
     end
     cmat, discrete_indices
@@ -633,13 +628,13 @@ function axis_drawing_info(sp::Subplot)
 
     if sp[:framestyle] != :none
         # xaxis
+        y1, y2 = if sp[:framestyle] in (:origin, :zerolines)
+            0.0, 0.0
+        else
+            xor(xaxis[:mirror], yaxis[:flip]) ? (ymax, ymin) : (ymin, ymax)
+        end
         if xaxis[:showaxis]
             if sp[:framestyle] != :grid
-                y1, y2 = if sp[:framestyle] in (:origin, :zerolines)
-                    0.0, 0.0
-                else
-                    xor(xaxis[:mirror], yaxis[:flip]) ? (ymax, ymin) : (ymin, ymax)
-                end
                 push!(xaxis_segs, (xmin, y1), (xmax, y1))
                 # don't show the 0 tick label for the origin framestyle
                 if sp[:framestyle] == :origin && !(xticks in (:none, nothing, false)) && length(xticks) > 1
@@ -652,55 +647,48 @@ function axis_drawing_info(sp::Subplot)
         if !(xaxis[:ticks] in (:none, nothing, false))
             f = scalefunc(yaxis[:scale])
             invf = invscalefunc(yaxis[:scale])
-            ticks_in = xaxis[:tick_direction] == :out ? -1 : 1
-            t1 = invf(f(ymin) + 0.015 * (f(ymax) - f(ymin)) * ticks_in)
-            t2 = invf(f(ymax) - 0.015 * (f(ymax) - f(ymin)) * ticks_in)
-            t3 = invf(f(0) + 0.015 * (f(ymax) - f(ymin)) * ticks_in)
+            tick_start, tick_stop = if sp[:framestyle] == :origin
+                t = invf(f(0) + 0.012 * (f(ymax) - f(ymin)))
+                (-t, t)
+            else
+                ticks_in = xaxis[:tick_direction] == :out ? -1 : 1
+                t = invf(f(y1) + 0.012 * (f(y2) - f(y1)) * ticks_in)
+                (y1, t)
+            end
 
             for xtick in xticks[1]
                 if xaxis[:showaxis]
-                    tick_start, tick_stop = if sp[:framestyle] == :origin
-                        (0, t3)
-                    else
-                        xor(xaxis[:mirror], yaxis[:flip]) ? (ymax, t2) : (ymin, t1)
-                    end
                     push!(xtick_segs, (xtick, tick_start), (xtick, tick_stop)) # bottom tick
                 end
-                # sp[:draw_axes_border] && push!(xaxis_segs, (xtick, ymax), (xtick, t2)) # top tick
                 xaxis[:grid] && push!(xgrid_segs, (xtick, ymin), (xtick, ymax)) # vertical grid
             end
-        end
-        if !(xaxis[:minorticks] in (:none, nothing, false)) || xaxis[:minorgrid]
-            f = scalefunc(yaxis[:scale])
-            invf = invscalefunc(yaxis[:scale])
-            ticks_in = xaxis[:tick_direction] == :out ? -1 : 1
-            t1 = invf(f(ymin) + 0.01 * (f(ymax) - f(ymin)) * ticks_in)
-            t2 = invf(f(ymax) - 0.01 * (f(ymax) - f(ymin)) * ticks_in)
-            t3 = invf(f(0) + 0.01 * (f(ymax) - f(ymin)) * ticks_in)
 
-            for xminortick in xminorticks
-                if xaxis[:showaxis]
-                    tick_start, tick_stop = if sp[:framestyle] == :origin
-                        (0, t3)
-                    else
-                        xor(xaxis[:mirror], yaxis[:flip]) ? (ymax, t2) : (ymin, t1)
-                    end
-                    push!(xtick_segs, (xminortick, tick_start), (xminortick, tick_stop)) # bottom tick
+            if !(xaxis[:minorticks] in (:none, nothing, false)) || xaxis[:minorgrid]
+                tick_start, tick_stop = if sp[:framestyle] == :origin
+                    t = invf(f(0) + 0.006 * (f(ymax) - f(ymin)))
+                    (-t, t)
+                else
+                    t = invf(f(y1) + 0.006 * (f(y2) - f(y1)) * ticks_in)
+                    (y1, t)
+                end
+                for xtick in xminorticks
+                    if xaxis[:showaxis]
+                        push!(xtick_segs, (xtick, tick_start), (xtick, tick_stop)) # bottom tick
+                    end
+                    xaxis[:minorgrid] && push!(xminorgrid_segs, (xtick, ymin), (xtick, ymax)) # vertical grid
                 end
-                # sp[:draw_axes_border] && push!(xaxis_segs, (xtick, ymax), (xtick, t2)) # top tick
-                xaxis[:minorgrid] && push!(xminorgrid_segs, (xminortick, ymin), (xminortick, ymax)) # vertical grid
             end
         end
 
 
         # yaxis
+        x1, x2 = if sp[:framestyle] in (:origin, :zerolines)
+            0.0, 0.0
+        else
+            xor(yaxis[:mirror], xaxis[:flip]) ? (xmax, xmin) : (xmin, xmax)
+        end
         if yaxis[:showaxis]
             if sp[:framestyle] != :grid
-                x1, x2 = if sp[:framestyle] in (:origin, :zerolines)
-                    0.0, 0.0
-                else
-                    xor(yaxis[:mirror], xaxis[:flip]) ? (xmax, xmin) : (xmin, xmax)
-                end
                 push!(yaxis_segs, (x1, ymin), (x1, ymax))
                 # don't show the 0 tick label for the origin framestyle
                 if sp[:framestyle] == :origin && !(yticks in (:none, nothing,false)) && length(yticks) > 1
@@ -713,46 +701,297 @@ function axis_drawing_info(sp::Subplot)
         if !(yaxis[:ticks] in (:none, nothing, false))
             f = scalefunc(xaxis[:scale])
             invf = invscalefunc(xaxis[:scale])
-            ticks_in = yaxis[:tick_direction] == :out ? -1 : 1
-            t1 = invf(f(xmin) + 0.015 * (f(xmax) - f(xmin)) * ticks_in)
-            t2 = invf(f(xmax) - 0.015 * (f(xmax) - f(xmin)) * ticks_in)
-            t3 = invf(f(0) + 0.015 * (f(xmax) - f(xmin)) * ticks_in)
+            tick_start, tick_stop = if sp[:framestyle] == :origin
+                t = invf(f(0) + 0.012 * (f(xmax) - f(xmin)))
+                (-t, t)
+            else
+                ticks_in = yaxis[:tick_direction] == :out ? -1 : 1
+                t = invf(f(x1) + 0.012 * (f(x2) - f(x1)) * ticks_in)
+                (x1, t)
+            end
 
             for ytick in yticks[1]
                 if yaxis[:showaxis]
-                    tick_start, tick_stop = if sp[:framestyle] == :origin
-                        (0, t3)
-                    else
-                        xor(yaxis[:mirror], xaxis[:flip]) ? (xmax, t2) : (xmin, t1)
-                    end
                     push!(ytick_segs, (tick_start, ytick), (tick_stop, ytick)) # left tick
                 end
-                # sp[:draw_axes_border] && push!(yaxis_segs, (xmax, ytick), (t2, ytick)) # right tick
                 yaxis[:grid] && push!(ygrid_segs, (xmin, ytick), (xmax, ytick)) # horizontal grid
             end
-        end
-        if !(yaxis[:minorticks] in (:none, nothing, false)) || yaxis[:minorgrid]
-            f = scalefunc(xaxis[:scale])
-            invf = invscalefunc(xaxis[:scale])
-            ticks_in = yaxis[:tick_direction] == :out ? -1 : 1
-            t1 = invf(f(xmin) + 0.01 * (f(xmax) - f(xmin)) * ticks_in)
-            t2 = invf(f(xmax) - 0.01 * (f(xmax) - f(xmin)) * ticks_in)
-            t3 = invf(f(0) + 0.01 * (f(xmax) - f(xmin)) * ticks_in)
 
-            for ytick in yminorticks
-                if yaxis[:showaxis]
-                    tick_start, tick_stop = if sp[:framestyle] == :origin
-                        (0, t3)
-                    else
-                        xor(yaxis[:mirror], xaxis[:flip]) ? (xmax, t2) : (xmin, t1)
-                    end
-                    push!(ytick_segs, (tick_start, ytick), (tick_stop, ytick)) # left tick
+            if !(yaxis[:minorticks] in (:none, nothing, false)) || yaxis[:minorgrid]
+                tick_start, tick_stop = if sp[:framestyle] == :origin
+                    t = invf(f(0) + 0.006 * (f(xmax) - f(xmin)))
+                    (-t, t)
+                else
+                    t = invf(f(x1) + 0.006 * (f(x2) - f(x1)) * ticks_in)
+                    (x1, t)
+                end
+                for ytick in yminorticks
+                    if yaxis[:showaxis]
+                        push!(ytick_segs, (tick_start, ytick), (tick_stop, ytick)) # left tick
+                    end
+                    yaxis[:minorgrid] && push!(yminorgrid_segs, (xmin, ytick), (xmax, ytick)) # horizontal grid
                 end
-                # sp[:draw_axes_border] && push!(yaxis_segs, (xmax, ytick), (t2, ytick)) # right tick
-                yaxis[:minorgrid] && push!(yminorgrid_segs, (xmin, ytick), (xmax, ytick)) # horizontal grid
             end
         end
     end
 
     xticks, yticks, xaxis_segs, yaxis_segs, xtick_segs, ytick_segs, xgrid_segs, ygrid_segs, xminorgrid_segs, yminorgrid_segs, xborder_segs, yborder_segs
 end
+
+
+function axis_drawing_info_3d(sp::Subplot)
+    xaxis, yaxis, zaxis = sp[:xaxis], sp[:yaxis], sp[:zaxis]
+    xmin, xmax = axis_limits(sp, :x)
+    ymin, ymax = axis_limits(sp, :y)
+    zmin, zmax = axis_limits(sp, :z)
+    xticks = get_ticks(sp, xaxis)
+    yticks = get_ticks(sp, yaxis)
+    zticks = get_ticks(sp, zaxis)
+    xminorticks = get_minor_ticks(sp, xaxis, xticks)
+    yminorticks = get_minor_ticks(sp, yaxis, yticks)
+    zminorticks = get_minor_ticks(sp, zaxis, zticks)
+    xaxis_segs = Segments(3)
+    yaxis_segs = Segments(3)
+    zaxis_segs = Segments(3)
+    xtick_segs = Segments(3)
+    ytick_segs = Segments(3)
+    ztick_segs = Segments(3)
+    xgrid_segs = Segments(3)
+    ygrid_segs = Segments(3)
+    zgrid_segs = Segments(3)
+    xminorgrid_segs = Segments(3)
+    yminorgrid_segs = Segments(3)
+    zminorgrid_segs = Segments(3)
+    xborder_segs = Segments(3)
+    yborder_segs = Segments(3)
+    zborder_segs = Segments(3)
+
+    if sp[:framestyle] != :none
+
+        # xaxis
+        y1, y2 = if sp[:framestyle] in (:origin, :zerolines)
+            0.0, 0.0
+        else
+            xor(xaxis[:mirror], yaxis[:flip]) ? (ymax, ymin) : (ymin, ymax)
+        end
+        z1, z2 = if sp[:framestyle] in (:origin, :zerolines)
+            0.0, 0.0
+        else
+            xor(xaxis[:mirror], zaxis[:flip]) ? (zmax, zmin) : (zmin, zmax)
+        end
+        if xaxis[:showaxis]
+            if sp[:framestyle] != :grid
+                push!(xaxis_segs, (xmin, y1, z1), (xmax, y1, z1))
+                # don't show the 0 tick label for the origin framestyle
+                if sp[:framestyle] == :origin && !(xticks in (:none, nothing, false)) && length(xticks) > 1
+                    showticks = xticks[1] .!= 0
+                    xticks = (xticks[1][showticks], xticks[2][showticks])
+                end
+            end
+            sp[:framestyle] in (:semi, :box) && push!(xborder_segs, (xmin, y2, z2), (xmax, y2, z2)) # top spine
+        end
+        if !(xaxis[:ticks] in (:none, nothing, false))
+            f = scalefunc(yaxis[:scale])
+            invf = invscalefunc(yaxis[:scale])
+            tick_start, tick_stop = if sp[:framestyle] == :origin
+                t = invf(f(0) + 0.012 * (f(ymax) - f(ymin)))
+                (-t, t)
+            else
+                ticks_in = xaxis[:tick_direction] == :out ? -1 : 1
+                t = invf(f(y1) + 0.012 * (f(y2) - f(y1)) * ticks_in)
+                (y1, t)
+            end
+
+            for xtick in xticks[1]
+                if xaxis[:showaxis]
+                    push!(xtick_segs, (xtick, tick_start, z1), (xtick, tick_stop, z1)) # bottom tick
+                end
+                if xaxis[:grid]
+                    if sp[:framestyle] in (:origin, :zerolines)
+                        push!(xgrid_segs, (xtick, ymin, 0.0), (xtick, ymax, 0.0))
+                        push!(xgrid_segs, (xtick, 0.0, zmin), (xtick, 0.0, zmax))
+                    else
+                        push!(xgrid_segs, (xtick, y1, z1), (xtick, y2, z1))
+                        push!(xgrid_segs, (xtick, y2, z1), (xtick, y2, z2))
+                    end
+                end
+            end
+
+            if !(xaxis[:minorticks] in (:none, nothing, false)) || xaxis[:minorgrid]
+                tick_start, tick_stop = if sp[:framestyle] == :origin
+                    t = invf(f(0) + 0.006 * (f(ymax) - f(ymin)))
+                    (-t, t)
+                else
+                    t = invf(f(y1) + 0.006 * (f(y2) - f(y1)) * ticks_in)
+                    (y1, t)
+                end
+                for xtick in xminorticks
+                    if xaxis[:showaxis]
+                        push!(xtick_segs, (xtick, tick_start, z1), (xtick, tick_stop, z1)) # bottom tick
+                    end
+                    if xaxis[:minorgrid]
+                        if sp[:framestyle] in (:origin, :zerolines)
+                            push!(xminorgrid_segs, (xtick, ymin, 0.0), (xtick, ymax, 0.0))
+                            push!(xminorgrid_segs, (xtick, 0.0, zmin), (xtick, 0.0, zmax))
+                        else
+                            push!(xminorgrid_segs, (xtick, y1, z1), (xtick, y2, z1))
+                            push!(xminorgrid_segs, (xtick, y2, z1), (xtick, y2, z2))
+                        end
+                    end
+                end
+            end
+        end
+
+
+        # yaxis
+        x1, x2 = if sp[:framestyle] in (:origin, :zerolines)
+            0.0, 0.0
+        else
+            xor(yaxis[:mirror], xaxis[:flip]) ? (xmin, xmax) : (xmax, xmin)
+        end
+        z1, z2 = if sp[:framestyle] in (:origin, :zerolines)
+            0.0, 0.0
+        else
+            xor(yaxis[:mirror], zaxis[:flip]) ? (zmax, zmin) : (zmin, zmax)
+        end
+        if yaxis[:showaxis]
+            if sp[:framestyle] != :grid
+                push!(yaxis_segs, (x1, ymin, z1), (x1, ymax, z1))
+                # don't show the 0 tick label for the origin framestyle
+                if sp[:framestyle] == :origin && !(yticks in (:none, nothing,false)) && length(yticks) > 1
+                    showticks = yticks[1] .!= 0
+                    yticks = (yticks[1][showticks], yticks[2][showticks])
+                end
+            end
+            sp[:framestyle] in (:semi, :box) && push!(yborder_segs, (x2, ymin, z2), (x2, ymax, z2)) # right spine
+        end
+        if !(yaxis[:ticks] in (:none, nothing, false))
+            f = scalefunc(xaxis[:scale])
+            invf = invscalefunc(xaxis[:scale])
+            tick_start, tick_stop = if sp[:framestyle] == :origin
+                t = invf(f(0) + 0.012 * (f(xmax) - f(xmin)))
+                (-t, t)
+            else
+                ticks_in = yaxis[:tick_direction] == :out ? -1 : 1
+                t = invf(f(x1) + 0.012 * (f(x2) - f(x1)) * ticks_in)
+                (x1, t)
+            end
+
+            for ytick in yticks[1]
+                if yaxis[:showaxis]
+                    push!(ytick_segs, (tick_start, ytick, z1), (tick_stop, ytick, z1)) # left tick
+                end
+                if yaxis[:grid]
+                    if sp[:framestyle] in (:origin, :zerolines)
+                        push!(ygrid_segs, (xmin, ytick, 0.0), (xmax, ytick, 0.0))
+                        push!(ygrid_segs, (0.0, ytick, zmin), (0.0, ytick, zmax))
+                    else
+                        push!(ygrid_segs, (x1, ytick, z1), (x2, ytick, z1))
+                        push!(ygrid_segs, (x2, ytick, z1), (x2, ytick, z2))
+                    end
+                end
+            end
+
+            if !(yaxis[:minorticks] in (:none, nothing, false)) || yaxis[:minorgrid]
+                tick_start, tick_stop = if sp[:framestyle] == :origin
+                    t = invf(f(0) + 0.006 * (f(xmax) - f(xmin)))
+                    (-t, t)
+                else
+                    t = invf(f(x1) + 0.006 * (f(x2) - f(x1)) * ticks_in)
+                    (x1, t)
+                end
+                for ytick in yminorticks
+                    if yaxis[:showaxis]
+                        push!(ytick_segs, (tick_start, ytick, z1), (tick_stop, ytick, z1)) # left tick
+                    end
+                    if yaxis[:minorgrid]
+                        if sp[:framestyle] in (:origin, :zerolines)
+                            push!(yminorgrid_segs, (xmin, ytick, 0.0), (xmax, ytick, 0.0))
+                            push!(yminorgrid_segs, (0.0, ytick, zmin), (0.0, ytick, zmax))
+                        else
+                            push!(yminorgrid_segs, (x1, ytick, z1), (x2, ytick, z1))
+                            push!(yminorgrid_segs, (x2, ytick, z1), (x2, ytick, z2))
+                        end
+                    end
+                end
+            end
+        end
+
+
+        # zaxis
+        x1, x2 = if sp[:framestyle] in (:origin, :zerolines)
+            0.0, 0.0
+        else
+            xor(zaxis[:mirror], xaxis[:flip]) ? (xmax, xmin) : (xmin, xmax)
+        end
+        y1, y2 = if sp[:framestyle] in (:origin, :zerolines)
+            0.0, 0.0
+        else
+            xor(zaxis[:mirror], yaxis[:flip]) ? (ymax, ymin) : (ymin, ymax)
+        end
+        if zaxis[:showaxis]
+            if sp[:framestyle] != :grid
+                push!(zaxis_segs, (x1, y1, zmin), (x1, y1, zmax))
+                # don't show the 0 tick label for the origin framestyle
+                if sp[:framestyle] == :origin && !(zticks in (:none, nothing,false)) && length(zticks) > 1
+                    showticks = zticks[1] .!= 0
+                    zticks = (zticks[1][showticks], zticks[2][showticks])
+                end
+            end
+            sp[:framestyle] in (:semi, :box) && push!(zborder_segs, (x2, y2, zmin), (x2, y2, zmax))
+        end
+        if !(zaxis[:ticks] in (:none, nothing, false))
+            f = scalefunc(xaxis[:scale])
+            invf = invscalefunc(xaxis[:scale])
+            tick_start, tick_stop = if sp[:framestyle] == :origin
+                t = invf(f(0) + 0.012 * (f(ymax) - f(ymin)))
+                (-t, t)
+            else
+                ticks_in = zaxis[:tick_direction] == :out ? -1 : 1
+                t = invf(f(y1) + 0.012 * (f(y2) - f(y1)) * ticks_in)
+                (y1, t)
+            end
+
+            for ztick in zticks[1]
+                if zaxis[:showaxis]
+                    push!(ztick_segs, (x1, tick_start, ztick), (x1, tick_stop, ztick)) # left tick
+                end
+                if zaxis[:grid]
+                    if sp[:framestyle] in (:origin, :zerolines)
+                        push!(zgrid_segs, (xmin, 0.0, ztick), (xmax, 0.0, ztick))
+                        push!(ygrid_segs, (0.0, ymin, ztick), (0.0, ymax, ztick))
+                    else
+                        push!(ygrid_segs, (x1, y1, ztick), (x1, y2, ztick))
+                        push!(ygrid_segs, (x1, y2, ztick), (x2, y2, ztick))
+                    end
+                end
+            end
+
+            if !(zaxis[:minorticks] in (:none, nothing, false)) || zaxis[:minorgrid]
+                tick_start, tick_stop = if sp[:framestyle] == :origin
+                    t = invf(f(0) + 0.006 * (f(ymax) - f(ymin)))
+                    (-t, t)
+                else
+                    t = invf(f(y1) + 0.006 * (f(y2) - f(y1)) * ticks_in)
+                    (y1, t)
+                end
+                for ztick in zminorticks
+                    if zaxis[:showaxis]
+                        push!(ztick_segs, (x1, tick_start, ztick), (x1, tick_stop, ztick)) # left tick
+                    end
+                    if zaxis[:minorgrid]
+                        if sp[:framestyle] in (:origin, :zerolines)
+                            push!(zminorgrid_segs, (xmin, 0.0, ztick), (xmax, 0.0, ztick))
+                            push!(zminorgrid_segs, (0.0, ymin, ztick), (0.0, ymax, ztick))
+                        else
+                            push!(zminorgrid_segs, (x1, y1, ztick), (x1, y2, ztick))
+                            push!(zminorgrid_segs, (x1, y2, ztick), (x2, y2, ztick))
+                        end
+                    end
+                end
+            end
+        end
+    end
+
+    xticks, yticks, zticks, xaxis_segs, yaxis_segs, zaxis_segs, xtick_segs, ytick_segs, ztick_segs, xgrid_segs, ygrid_segs, zgrid_segs, xminorgrid_segs, yminorgrid_segs, zminorgrid_segs, xborder_segs, yborder_segs, zborder_segs
+end

src/backends.jl

@@ -37,7 +37,6 @@ macro init_backend(s)
         _backendType[Symbol($str)] = $T
         _backendSymbol[$T] = Symbol($str)
         _backend_packages[Symbol($str)] = Symbol($package_str)
-        # include("backends/" * $str * ".jl")
     end)
 end
 
@@ -229,7 +228,7 @@ const _base_supported_args = [
     :subplot_index,
     :discrete_values,
     :projection,
-
+    :show_empty_bins
 ]
 
 function merge_with_base_supported(v::AVec)
@@ -252,6 +251,7 @@ end
 @init_backend PlotlyJS
 @init_backend GR
 @init_backend PGFPlots
+@init_backend PGFPlotsX
 @init_backend InspectDR
 @init_backend HDF5
 
@@ -296,9 +296,6 @@ end
 
 _initialize_backend(pkg::GRBackend) = nothing
 
-_initialize_backend(pkg::PlotlyBackend) = nothing
-
-
 # ------------------------------------------------------------------------------
 # gr
 
@@ -357,6 +354,16 @@ is_marker_supported(::GRBackend, shape::Shape) = true
 # ------------------------------------------------------------------------------
 # plotly
 
+function _initialize_backend(pkg::PlotlyBackend)
+    try
+        @eval Main begin
+            import ORCA
+        end
+    catch
+        @info "For saving to png with the Plotly backend ORCA has to be installed."
+    end
+end
+
 const _plotly_attr = merge_with_base_supported([
     :annotations,
     :background_color_legend, :background_color_inside, :background_color_outside,
@@ -661,3 +668,135 @@ const _inspectdr_marker = Symbol[
 ]
 
 const _inspectdr_scale = [:identity, :ln, :log2, :log10]
+# ------------------------------------------------------------------------------
+# pgfplotsx
+
+const _pgfplotsx_attr = merge_with_base_supported([
+    :annotations,
+    :background_color_legend,
+    :background_color_inside,
+    :background_color_outside,
+    :foreground_color_legend,
+    :foreground_color_grid,
+    :foreground_color_axis,
+    :foreground_color_text,
+    :foreground_color_border,
+    :label,
+    :seriescolor,
+    :seriesalpha,
+    :linecolor,
+    :linestyle,
+    :linewidth,
+    :linealpha,
+    :markershape,
+    :markercolor,
+    :markersize,
+    :markeralpha,
+    :markerstrokewidth,
+    :markerstrokecolor,
+    :markerstrokealpha,
+    :fillrange,
+    :fillcolor,
+    :fillalpha,
+    :bins,
+    :layout,
+    :title,
+    :window_title,
+    :guide,
+    :lims,
+    :ticks,
+    :scale,
+    :flip,
+    :match_dimensions,
+    :titlefontfamily,
+    :titlefontsize,
+    :titlefonthalign,
+    :titlefontvalign,
+    :titlefontrotation,
+    :titlefontcolor,
+    :legendfontfamily,
+    :legendfontsize,
+    :legendfonthalign,
+    :legendfontvalign,
+    :legendfontrotation,
+    :legendfontcolor,
+    :tickfontfamily,
+    :tickfontsize,
+    :tickfonthalign,
+    :tickfontvalign,
+    :tickfontrotation,
+    :tickfontcolor,
+    :guidefontfamily,
+    :guidefontsize,
+    :guidefonthalign,
+    :guidefontvalign,
+    :guidefontrotation,
+    :guidefontcolor,
+    :grid,
+    :gridalpha,
+    :gridstyle,
+    :gridlinewidth,
+    :legend,
+    :legendtitle,
+    :colorbar,
+    :colorbar_title,
+    :colorbar_entry,
+    :fill_z,
+    :line_z,
+    :marker_z,
+    :levels,
+    :ribbon,
+    :quiver,
+    :orientation,
+    :overwrite_figure,
+    :polar,
+    :aspect_ratio,
+    :normalize,
+    :weights,
+    :inset_subplots,
+    :bar_width,
+    :arrow,
+    :framestyle,
+    :tick_direction,
+    :camera,
+    :contour_labels,
+])
+const _pgfplotsx_seriestype = [
+    :path,
+    :scatter,
+    :straightline,
+    :path3d,
+    :scatter3d,
+    :surface,
+    :wireframe,
+    :heatmap,
+    :contour,
+    :contour3d,
+    :shape,
+    :steppre,
+    :stepmid,
+    :steppost,
+    :ysticks,
+    :xsticks,
+]
+const _pgfplotsx_style = [:auto, :solid, :dash, :dot, :dashdot, :dashdotdot]
+const _pgfplotsx_marker = [
+    :none,
+    :auto,
+    :circle,
+    :rect,
+    :diamond,
+    :utriangle,
+    :dtriangle,
+    :ltriangle,
+    :rtriangle,
+    :cross,
+    :xcross,
+    :star5,
+    :pentagon,
+    :hline,
+    :vline,
+    Shape,
+]
+const _pgfplotsx_scale = [:identity, :ln, :log2, :log10]
+is_marker_supported(::PGFPlotsXBackend, shape::Shape) = true

src/backends/hdf5.jl

@@ -109,7 +109,7 @@ _hdf5_datapath(subpath::String) = "$_hdf5_dataroot/$subpath"
 _hdf5_map_str2telem(k::String) = HDF5PLOT_MAP_STR2TELEM[k]
 _hdf5_map_str2telem(v::Vector) = HDF5PLOT_MAP_STR2TELEM[v[1]]
 
-function _hdf5_merge!(dest::Dict, src::Dict)
+function _hdf5_merge!(dest, src)
     for (k, v) in src
         if isa(v, Axis)
             _hdf5_merge!(dest[k].plotattributes, v.plotattributes)
@@ -295,7 +295,7 @@ function _hdf5plot_gwrite(grp, k::String, v::Tuple)
     end
     #NOTE: _hdf5plot_overwritetype overwrites "Array" type with "Tuple".
 end
-function _hdf5plot_gwrite(grp, k::String, plotattributes::Dict)
+function _hdf5plot_gwrite(grp, k::String, plotattributes::AKW)
 #    @warn("Cannot write dict: $k=$plotattributes")
 end
 function _hdf5plot_gwrite(grp, k::String, v::AbstractRange)
@@ -376,7 +376,7 @@ function _hdf5plot_gwrite(grp, k::String, v::Subplot)
     _hdf5plot_writetype(grp, Subplot)
     return
 end
-function _hdf5plot_write(grp, plotattributes::Dict)
+function _hdf5plot_write(grp, plotattributes::AKW)
     for (k, v) in plotattributes
         kstr = string(k)
         _hdf5plot_gwrite(grp, kstr, v)
@@ -567,7 +567,7 @@ function _hdf5plot_read(grp, k::String)
 end
 
 #Read in values in group to populate plotattributes:
-function _hdf5plot_read(grp, plotattributes::Dict)
+function _hdf5plot_read(grp, plotattributes::AKW)
     gnames = names(grp)
     for k in gnames
         try

src/backends/orca.jl

@@ -0,0 +1,24 @@
+function plotlybase_syncplot(plt::Plot)
+    plt.o = ORCA.PlotlyBase.Plot()
+    traces = ORCA.PlotlyBase.GenericTrace[]
+    for series_dict in plotly_series(plt)
+        plotly_type = pop!(series_dict, :type)
+        push!(traces, ORCA.PlotlyBase.GenericTrace(plotly_type; series_dict...))
+    end
+    ORCA.PlotlyBase.addtraces!(plt.o, traces...)
+    layout = plotly_layout(plt)
+    w, h = plt[:size]
+    ORCA.PlotlyBase.relayout!(plt.o, layout, width = w, height = h)
+    return plt.o
+end
+
+const _orca_mimeformats = Dict(
+    "application/pdf" => "pdf",
+    "image/png"       => "png",
+    "image/svg+xml"   => "svg",
+    "image/eps"       => "eps",
+)
+
+for (mime, fmt) in _orca_mimeformats
+    @eval _show(io::IO, ::MIME{Symbol($mime)}, plt::Plot{PlotlyBackend}) = ORCA.PlotlyBase.savefig(io, plotlybase_syncplot(plt), format = $fmt)
+end

src/backends/pgfplots.jl

@@ -128,16 +128,18 @@ function pgf_marker(plotattributes, i = 1)
     shape = _cycle(plotattributes[:markershape], i)
     cstr, a = pgf_color(plot_color(get_markercolor(plotattributes, i), get_markeralpha(plotattributes, i)))
     cstr_stroke, a_stroke = pgf_color(plot_color(get_markerstrokecolor(plotattributes, i), get_markerstrokealpha(plotattributes, i)))
-    """
-    mark = $(get(_pgfplots_markers, shape, "*")),
-    mark size = $(pgf_thickness_scaling(plotattributes) * 0.5 * _cycle(plotattributes[:markersize], i)),
-    mark options = {
-        color = $cstr_stroke, draw opacity = $a_stroke,
-        fill = $cstr, fill opacity = $a,
-        line width = $(pgf_thickness_scaling(plotattributes) * _cycle(plotattributes[:markerstrokewidth], i)),
-        rotate = $(shape == :dtriangle ? 180 : 0),
-        $(get(_pgfplots_linestyles, _cycle(plotattributes[:markerstrokestyle], i), "solid"))
-    }"""
+    return string(
+        "mark = $(get(_pgfplots_markers, shape, "*")),\n",
+        "mark size = $(pgf_thickness_scaling(plotattributes) * 0.5 * _cycle(plotattributes[:markersize], i)),\n",
+        plotattributes[:seriestype] == :scatter ? "only marks,\n" : "",
+        "mark options = {
+            color = $cstr_stroke, draw opacity = $a_stroke,
+            fill = $cstr, fill opacity = $a,
+            line width = $(pgf_thickness_scaling(plotattributes) * _cycle(plotattributes[:markerstrokewidth], i)),
+            rotate = $(shape == :dtriangle ? 180 : 0),
+            $(get(_pgfplots_linestyles, _cycle(plotattributes[:markerstrokestyle], i), "solid"))
+        }"
+        )
 end
 
 function pgf_add_annotation!(o, x, y, val, thickness_scaling = 1)
@@ -178,11 +180,11 @@ function pgf_series(sp::Subplot, series::Series)
     end
 
     # PGFPlots can't handle non-Vector?
-    args = map(a -> if typeof(a) <: AbstractVector && typeof(a) != Vector
-            collect(a)
-        else
-            a
-        end, args)
+    # args = map(a -> if typeof(a) <: AbstractVector && typeof(a) != Vector
+    #         collect(a)
+    #     else
+    #         a
+    #     end, args)
 
     if st in (:contour, :histogram2d)
         style = []
@@ -468,7 +470,7 @@ function _update_plot_object(plt::Plot{PGFPlotsBackend})
             push!(style, string("title style = {font = ", pgf_font(sp[:titlefontsize], pgf_thickness_scaling(sp)), ", color = ", cstr, ", draw opacity = ", α, ", rotate = ", sp[:titlefontrotation], "}"))
         end
 
-        if sp[:aspect_ratio] in (1, :equal)
+        if get_aspect_ratio(sp) in (1, :equal)
             kw[:axisEqual] = "true"
         end
 
@@ -476,8 +478,18 @@ function _update_plot_object(plt::Plot{PGFPlotsBackend})
         if haskey(_pgfplots_legend_pos, legpos)
             kw[:legendPos] = _pgfplots_legend_pos[legpos]
         end
-        cstr, a = pgf_color(plot_color(sp[:background_color_legend]))
-        push!(style, string("legend style = {", pgf_linestyle(pgf_thickness_scaling(sp), sp[:foreground_color_legend], 1.0, "solid"), ",", "fill = $cstr,", "font = ", pgf_font(sp[:legendfontsize], pgf_thickness_scaling(sp)), "}"))
+        cstr, bg_alpha = pgf_color(plot_color(sp[:background_color_legend]))
+        fg_alpha = alpha(plot_color(sp[:foreground_color_legend]))
+
+        push!(style, string(
+            "legend style = {",
+                pgf_linestyle(pgf_thickness_scaling(sp), sp[:foreground_color_legend], fg_alpha, "solid", ), ",",
+                "fill = $cstr,",
+                "fill opacity = $bg_alpha,",
+                "text opacity = $(alpha(plot_color(sp[:legendfontcolor]))),",
+                "font = ", pgf_font(sp[:legendfontsize], pgf_thickness_scaling(sp)),
+            "}",
+        ))
 
         if any(s[:seriestype] == :contour for s in series_list(sp))
             kw[:view] = "{0}{90}"

src/backends/plotly.jl

@@ -26,7 +26,6 @@ const plotly_remote_file_path = "https://cdn.plot.ly/plotly-latest.min.js"
 # end
 using UUIDs
 
-push!(_initialized_backends, :plotly)
 # ----------------------------------------------------------------
 
 const _plotly_legend_pos = KW(
@@ -109,7 +108,7 @@ function shrink_by(lo, sz, ratio)
 end
 
 function plotly_apply_aspect_ratio(sp::Subplot, plotarea, pcts)
-    aspect_ratio = sp[:aspect_ratio]
+    aspect_ratio = get_aspect_ratio(sp)
     if aspect_ratio != :none
         if aspect_ratio == :equal
             aspect_ratio = 1.0
@@ -352,7 +351,7 @@ end
 
 
 function plotly_colorscale(grad::ColorGradient, α)
-    [[grad.values[i], rgba_string(plot_color(grad.colors[i], α))] for i in 1:length(grad.colors)]
+    [[grad.values[i], rgba_string(plot_color(grad.colors[i], α))] for i in eachindex(grad.colors)]
 end
 plotly_colorscale(c::Colorant,α) = plotly_colorscale(_as_gradient(c),α)
 function plotly_colorscale(c::AbstractVector{<:RGBA}, α)
@@ -393,7 +392,7 @@ end
 # we split by NaNs and then construct/destruct the shapes to get the closed coords
 function plotly_close_shapes(x, y)
     xs, ys = nansplit(x), nansplit(y)
-    for i=1:length(xs)
+    for i=eachindex(xs)
         shape = Shape(xs[i], ys[i])
         xs[i], ys[i] = coords(shape)
     end
@@ -416,6 +415,7 @@ function plotly_data(series::Series, letter::Symbol, data)
     end
 end
 plotly_data(v) = v !== nothing ? collect(v) : v
+plotly_data(v::AbstractArray) = v
 plotly_data(surf::Surface) = surf.surf
 plotly_data(v::AbstractArray{R}) where {R<:Rational} = float(v)
 
@@ -454,7 +454,7 @@ function plotly_series(plt::Plot, series::Series)
     st = series[:seriestype]
 
     sp = series[:subplot]
-    clims = get_clims(sp)
+    clims = get_clims(sp, series)
 
     if st == :shape
         return plotly_series_shapes(plt, series, clims)
@@ -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)
+        x, y = straightline_data(series, 100)
         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))
+        for (letter, data) in zip((:x, :y), shape_data(series, 100))
     )
 
     for (i,rng) in enumerate(segments)
@@ -780,9 +780,9 @@ end
 
 function plotly_hover!(plotattributes_out::KW, hover)
     # hover text
-    if hover in (:none, false)
+    if hover === nothing || all(in([:none, false]), hover)
         plotattributes_out[:hoverinfo] = "none"
-    elseif hover !== nothing
+    elseif any(!isnothing, hover)
         plotattributes_out[:hoverinfo] = "text"
         plotattributes_out[:text] = hover
     end
@@ -860,6 +860,8 @@ end
 
 # ----------------------------------------------------------------
 
+Base.showable(::MIME"application/prs.juno.plotpane+html", plt::Plot{PlotlyBackend}) = true
+
 function _show(io::IO, ::MIME"application/vnd.plotly.v1+json", plot::Plot{PlotlyBackend})
     plotly_show_js(io, plot)
 end

src/backends/plotlyjs.jl

@@ -52,3 +52,5 @@ function closeall(::PlotlyJSBackend)
         close(current().o)
     end
 end
+
+Base.showable(::MIME"application/prs.juno.plotpane+html", plt::Plot{PlotlyJSBackend}) = true

src/backends/pyplot.jl

@@ -187,7 +187,7 @@ end
 # end
 
 function get_locator_and_formatter(vals::AVec)
-    pyticker."FixedLocator"(1:length(vals)), pyticker."FixedFormatter"(vals)
+    pyticker."FixedLocator"(eachindex(vals)), pyticker."FixedFormatter"(vals)
 end
 
 function add_pyfixedformatter(cbar, vals::AVec)
@@ -399,7 +399,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
 
     # handle zcolor and get c/cmap
     needs_colorbar = hascolorbar(sp)
-    vmin, vmax = clims = get_clims(sp)
+    vmin, vmax = clims = get_clims(sp, series)
 
     # Dict to store extra kwargs
     if st == :wireframe
@@ -535,7 +535,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
             shapes = series[:markershape]
             msc = py_markerstrokecolor(series)
             lw = py_thickness_scale(plt, series[:markerstrokewidth])
-            for i=1:length(y)
+            for i=eachindex(y)
                 extrakw[:c] = _cycle(markercolor, i)
 
                 push!(handle, ax."scatter"(_cycle(x,i), _cycle(y,i);
@@ -564,7 +564,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
 
             delete!(extrakw, :c)
 
-            for i=1:length(y)
+            for i=eachindex(y)
                 cur_marker = py_marker(_cycle(shapes,i))
 
                 if ( cur_marker == prev_marker )
@@ -756,7 +756,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
             cmap = py_colormap(cgrad([:black, :white])),
             vmin = 0.0,
             vmax = 1.0,
-            extent = (xmin, xmax, ymax, ymin)
+            extent = (xmin-0.5, xmax+0.5, ymax+0.5, ymin-0.5)
         )
         push!(handles, handle)
 
@@ -927,7 +927,7 @@ function py_set_scale(ax, sp::Subplot, axis::Axis)
         elseif scale == :log10
             10
         end
-        kw[Symbol(:linthresh,letter)] = NaNMath.min(1e-16, py_compute_axis_minval(sp, axis))
+        kw[Symbol(:linthresh,letter)] = NaNMath.max(1e-16, py_compute_axis_minval(sp, axis))
         "symlog"
     end
     func(arg; kw...)
@@ -1013,7 +1013,7 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
             kw = KW()
             if !isempty(sp[:zaxis][:discrete_values]) && colorbar_series[:seriestype] == :heatmap
                 locator, formatter = get_locator_and_formatter(sp[:zaxis][:discrete_values])
-                # kw[:values] = 1:length(sp[:zaxis][:discrete_values])
+                # kw[:values] = eachindex(sp[:zaxis][:discrete_values])
                 kw[:values] = sp[:zaxis][:continuous_values]
                 kw[:ticks] = locator
                 kw[:format] = formatter
@@ -1155,7 +1155,7 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
         end
 
         # aspect ratio
-        aratio = sp[:aspect_ratio]
+        aratio = get_aspect_ratio(sp)
         if aratio != :none
             ax."set_aspect"(isa(aratio, Symbol) ? string(aratio) : aratio, anchor = "C")
         end
@@ -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)
+    ax."annotate"(val, xy = (x,y), zorder = 999, annotation_clip = false)
 end
 
 
@@ -1242,7 +1242,8 @@ 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
+        zorder = 999,
+        annotation_clip = false
     )
 end
 
@@ -1289,13 +1290,13 @@ py_legend_bbox(pos) = pos
 
 function py_add_legend(plt::Plot, sp::Subplot, ax)
     leg = sp[:legend]
-    clims = get_clims(sp)
     if leg != :none
         # gotta do this to ensure both axes are included
         labels = []
         handles = []
         for series in series_list(sp)
             if should_add_to_legend(series)
+                clims = get_clims(sp, series)
                 # add a line/marker and a label
                 push!(handles, if series[:seriestype] == :shape || series[:fillrange] !== nothing
                     pypatches."Patch"(
@@ -1335,10 +1336,13 @@ 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)
-            sp[:legendtitle] !== nothing && leg."set_title"(sp[:legendtitle])
+            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
 
             for txt in leg."get_texts"()
-                PyPlot.plt."setp"(txt, color = py_color(sp[:legendfontcolor]), family = sp[:legendfontfamily])
+                PyPlot.plt."setp"(txt, color = py_color(sp[:legendfontcolor]), family = sp[:legendfontfamily], fontsize = py_thickness_scale(plt, sp[:legendfontsize]))
             end
         end
     end

src/backends/unicodeplots.jl

@@ -92,7 +92,7 @@ end
 
 
 # add a single series
-function addUnicodeSeries!(o, plotattributes::KW, addlegend::Bool, xlim, ylim)
+function addUnicodeSeries!(o, plotattributes, addlegend::Bool, xlim, ylim)
     # get the function, or special handling for step/bar/hist
     st = plotattributes[:seriestype]
     if st == :histogram2d

src/components.jl

@@ -187,7 +187,7 @@ end
 function scale!(shape::Shape, x::Real, y::Real = x, c = center(shape))
     sx, sy = coords(shape)
     cx, cy = c
-    for i=1:length(sx)
+    for i=eachindex(sx)
         sx[i] = (sx[i] - cx) * x + cx
         sy[i] = (sy[i] - cy) * y + cy
     end
@@ -202,7 +202,7 @@ end
 "translate a Shape in space"
 function translate!(shape::Shape, x::Real, y::Real = x)
     sx, sy = coords(shape)
-    for i=1:length(sx)
+    for i=eachindex(sx)
         sx[i] += x
         sy[i] += y
     end
@@ -230,7 +230,7 @@ end
 function rotate!(shape::Shape, Θ::Real, c = center(shape))
     x, y = coords(shape)
     cx, cy = c
-    for i=1:length(x)
+    for i=eachindex(x)
         xi = rotate_x(x[i], y[i], Θ, cx, cy)
         yi = rotate_y(x[i], y[i], Θ, cx, cy)
         x[i], y[i] = xi, yi
@@ -591,7 +591,9 @@ annotations(sa::SeriesAnnotations) = sa
 function process_annotation(sp::Subplot, xs, ys, labs, font = font())
     anns = []
     labs = makevec(labs)
-    for i in 1:max(length(xs), length(ys), length(labs))
+    xlength = length(methods(length, (typeof(xs),))) == 0 ? 1 : length(xs)
+    ylength = length(methods(length, (typeof(ys),))) == 0 ? 1 : length(ys)
+    for i in 1:max(xlength, ylength, length(labs))
         x, y, lab = _cycle(xs, i), _cycle(ys, i), _cycle(labs, i)
         if lab == :auto
             alphabet = "abcdefghijklmnopqrstuvwxyz"
@@ -648,23 +650,6 @@ 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
@@ -684,30 +669,6 @@ 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
@@ -769,13 +730,6 @@ 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"
@@ -794,7 +748,7 @@ end
 
 @deprecate curve_points coords
 
-coords(curve::BezierCurve, n::Integer = 30; range = [0,1]) = map(curve, range(range..., stop=n, length=50))
+coords(curve::BezierCurve, n::Integer = 30; range = [0,1]) = map(curve, Base.range(range..., length=n))
 
 # 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]

src/init.jl

@@ -28,12 +28,53 @@ function __init__()
         insert!(Base.Multimedia.displays, findlast(x -> x isa REPL.REPLDisplay, Base.Multimedia.displays) + 1, PlotsDisplay())
     end)
 
-    @require HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f" include(joinpath(@__DIR__, "backends", "hdf5.jl"))
-    @require InspectDR = "d0351b0e-4b05-5898-87b3-e2a8edfddd1d" include(joinpath(@__DIR__, "backends", "inspectdr.jl"))
-    @require PGFPlots = "3b7a836e-365b-5785-a47d-02c71176b4aa" include(joinpath(@__DIR__, "backends", "pgfplots.jl"))
-    @require PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a" include(joinpath(@__DIR__, "backends", "plotlyjs.jl"))
-    @require PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee" include(joinpath(@__DIR__, "backends", "pyplot.jl"))
-    @require UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228" include(joinpath(@__DIR__, "backends", "unicodeplots.jl"))
+    @require HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f" begin
+        fn = joinpath(@__DIR__, "backends", "hdf5.jl")
+        include(fn)
+        @require Revise = "295af30f-e4ad-537b-8983-00126c2a3abe" Revise.track(Plots, fn)
+    end
+
+    @require InspectDR = "d0351b0e-4b05-5898-87b3-e2a8edfddd1d" begin
+        fn = joinpath(@__DIR__, "backends", "inspectdr.jl")
+        include(fn)
+        @require Revise = "295af30f-e4ad-537b-8983-00126c2a3abe" Revise.track(Plots, fn)
+    end
+
+    @require PGFPlots = "3b7a836e-365b-5785-a47d-02c71176b4aa" begin
+        fn = joinpath(@__DIR__, "backends", "pgfplots.jl")
+        include(fn)
+        @require Revise = "295af30f-e4ad-537b-8983-00126c2a3abe" Revise.track(Plots, fn)
+    end
+
+    @require ORCA = "47be7bcc-f1a6-5447-8b36-7eeeff7534fd" begin
+        fn = joinpath(@__DIR__, "backends", "orca.jl")
+        include(fn)
+        @require Revise = "295af30f-e4ad-537b-8983-00126c2a3abe" Revise.track(Plots, fn)
+    end
+
+    @require PGFPlotsX = "8314cec4-20b6-5062-9cdb-752b83310925" begin
+        fn = joinpath(@__DIR__, "backends", "pgfplotsx.jl")
+        include(fn)
+        @require Revise = "295af30f-e4ad-537b-8983-00126c2a3abe" Revise.track(Plots, fn)
+    end
+
+    @require PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a" begin
+        fn = joinpath(@__DIR__, "backends", "plotlyjs.jl")
+        include(fn)
+        @require Revise = "295af30f-e4ad-537b-8983-00126c2a3abe" Revise.track(Plots, fn)
+    end
+
+    @require PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee" begin
+        fn = joinpath(@__DIR__, "backends", "pyplot.jl")
+        include(fn)
+        @require Revise = "295af30f-e4ad-537b-8983-00126c2a3abe" Revise.track(Plots, fn)
+    end
+
+    @require UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228" begin
+        fn = joinpath(@__DIR__, "backends", "unicodeplots.jl")
+        include(fn)
+        @require Revise = "295af30f-e4ad-537b-8983-00126c2a3abe" Revise.track(Plots, fn)
+    end
 
     @require IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a" begin
         if IJulia.inited

src/layouts.jl

@@ -107,7 +107,6 @@ 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
@@ -218,6 +217,7 @@ 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
@@ -464,12 +464,12 @@ end
 # constructors
 
 # pass the layout arg through
-function layout_args(plotattributes::KW)
-    layout_args(get(plotattributes, :layout, default(:layout)))
+function layout_args(plotattributes::AKW)
+    layout_args(plotattributes[:layout])
 end
 
-function layout_args(plotattributes::KW, n_override::Integer)
-    layout, n = layout_args(get(plotattributes, :layout, n_override))
+function layout_args(plotattributes::AKW, n_override::Integer)
+    layout, n = layout_args(n_override, get(plotattributes, :layout, n_override))
     if n != n_override
         error("When doing layout, n ($n) != n_override ($(n_override)).  You're probably trying to force existing plots into a layout that doesn't fit them.")
     end
@@ -481,12 +481,27 @@ function layout_args(n::Integer)
     GridLayout(nr, nc), n
 end
 
-function layout_args(sztup::NTuple{2,I}) where I<:Integer
+function layout_args(sztup::NTuple{2, Integer})
     nr, nc = sztup
     GridLayout(nr, nc), nr*nc
 end
 
-function layout_args(sztup::NTuple{3,I}) where I<:Integer
+layout_args(n_override::Integer, n::Integer) = layout_args(n)
+layout_args(n, sztup::NTuple{2, Integer}) = layout_args(sztup)
+
+function layout_args(n, sztup::Tuple{Colon, Integer})
+    nc = sztup[2]
+    nr = ceil(Int, n / nc)
+    GridLayout(nr, nc), n
+end
+
+function layout_args(n, sztup::Tuple{Integer, Colon})
+    nr = sztup[1]
+    nc = ceil(Int, n / nr)
+    GridLayout(nr, nc), n
+end
+
+function layout_args(sztup::NTuple{3, Integer})
     n, nr, nc = sztup
     nr, nc = compute_gridsize(n, nr, nc)
     GridLayout(nr, nc), n
@@ -499,6 +514,8 @@ function layout_args(layout::GridLayout)
     layout, n
 end
 
+layout_args(n_override::Integer, layout::GridLayout) = layout_args(layout)
+
 layout_args(huh) = error("unhandled layout type $(typeof(huh)): $huh")
 
 
@@ -599,7 +616,7 @@ end
 # ----------------------------------------------------------------------
 # @layout macro
 
-function add_layout_pct!(kw::KW, v::Expr, idx::Integer, nidx::Integer)
+function add_layout_pct!(kw::AKW, v::Expr, idx::Integer, nidx::Integer)
     # dump(v)
     # something like {0.2w}?
     if v.head == :call && v.args[1] == :*
@@ -620,7 +637,7 @@ function add_layout_pct!(kw::KW, v::Expr, idx::Integer, nidx::Integer)
     error("Couldn't match layout curly (idx=$idx): $v")
 end
 
-function add_layout_pct!(kw::KW, v::Number, idx::Integer)
+function add_layout_pct!(kw::AKW, v::Number, idx::Integer)
     # kw[idx == 1 ? :w : :h] = v*pct
     idx == 1 && (kw[:w] = v*pct)
     (idx == 2 || nidx == 1) && (kw[:h] = v*pct)

src/output.jl

@@ -60,6 +60,13 @@ function html(plt::Plot, fn::AbstractString)
 end
 html(fn::AbstractString) = html(current(), fn)
 
+function txt(plt::Plot, fn::AbstractString)
+  fn = addExtension(fn, "txt")
+  io = open(fn, "w")
+  show(io, MIME("text/plain"), plt)
+  close(io)
+end
+txt(fn::AbstractString) = txt(current(), fn)
 
 # ----------------------------------------------------------------
 
@@ -72,6 +79,8 @@ const _savemap = Dict(
     "eps" => eps,
     "tex" => tex,
     "html" => html,
+    "tikz" => tex,
+    "txt" => txt,
   )
 
 function getExtension(fn::AbstractString)
@@ -201,6 +210,8 @@ 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)
 
@@ -229,15 +240,16 @@ closeall() = closeall(backend())
 # Atom PlotPane
 # ---------------------------------------------------------
 function showjuno(io::IO, m, plt)
-    sz = plt[:size]
+    sz = collect(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] = Plots.DPI
+    plt[:size] = [s * scale for s in sz]
+    plt[:dpi] = jratio*Plots.DPI
     plt[:thickness_scaling] *= scale
 
     prepare_output(plt)
@@ -258,4 +270,6 @@ function _showjuno(io::IO, m::MIME"image/svg+xml", plt)
   end
 end
 
+Base.showable(::MIME"application/prs.juno.plotpane+html", plt::Plot) = false
+
 _showjuno(io::IO, m, plt) = _show(io, m, plt)

src/pipeline.jl

@@ -1,18 +1,26 @@
+function finalize_subplot!(plt::Plot, st, plotattributes::AKW)
+    sp = _prepare_subplot(plt, plotattributes)
+    _prepare_annotations(sp, plotattributes)
+    _expand_subplot_extrema(sp, plotattributes, st)
+    _update_series_attributes!(plotattributes, plt, sp)
+    _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)
 # ------------------------------------------------------------------
 # preprocessing
 
-function command_idx(kw_list::AVec{KW}, kw::KW)
+function series_idx(kw_list::AVec{KW}, kw::AKW)
     Int(kw[:series_plotindex]) - Int(kw_list[1][:series_plotindex]) + 1
 end
 
-function _expand_seriestype_array(plotattributes::KW, args)
+function _expand_seriestype_array(plotattributes::AKW, args)
     sts = get(plotattributes, :seriestype, :path)
     if typeof(sts) <: AbstractArray
-        delete!(plotattributes, :seriestype)
+        reset_kw!(plotattributes, :seriestype)
         rd = Vector{RecipeData}(undef, size(sts, 1))
-        for r in 1:size(sts, 1)
+        for r in axes(sts, 1)
             dc = copy(plotattributes)
             dc[:seriestype] = sts[r:r,:]
             rd[r] = RecipeData(dc, args)
@@ -23,7 +31,7 @@ function _expand_seriestype_array(plotattributes::KW, args)
     end
 end
 
-function _preprocess_args(plotattributes::KW, args, still_to_process::Vector{RecipeData})
+function _preprocess_args(plotattributes::AKW, 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
@@ -42,9 +50,11 @@ function _preprocess_args(plotattributes::KW, args, still_to_process::Vector{Rec
         for (k,v) in plotattributes
             for defdict in (_subplot_defaults,
                             _axis_defaults,
-                            _axis_defaults_byletter)
+                            _axis_defaults_byletter[:x],
+                            _axis_defaults_byletter[:y],
+                            _axis_defaults_byletter[:z])
                 if haskey(defdict, k)
-                    delete!(plotattributes, k)
+                    reset_kw!(plotattributes, k)
                 end
             end
         end
@@ -57,39 +67,6 @@ end
 # user recipes
 
 
-function _process_userrecipes(plt::Plot, plotattributes::KW, args)
-    still_to_process = RecipeData[]
-    args = _preprocess_args(plotattributes, args, still_to_process)
-
-    # for plotting recipes, swap out the args and update the parameter dictionary
-    # we are keeping a stack of series that still need to be processed.
-    # each pass through the loop, we pop one off and apply the recipe.
-    # the recipe will return a list a Series objects... the ones that are
-    # finished (no more args) get added to the kw_list, the ones that are not
-    # are placed on top of the stack and are then processed further.
-    kw_list = KW[]
-    while !isempty(still_to_process)
-        # grab the first in line to be processed and either add it to the kw_list or
-        # pass it through apply_recipe to generate a list of RecipeData objects (data + attributes)
-        # for further processing.
-        next_series = popfirst!(still_to_process)
-        # recipedata should be of type RecipeData.  if it's not then the inputs must not have been fully processed by recipes
-        if !(typeof(next_series) <: RecipeData)
-            error("Inputs couldn't be processed... expected RecipeData but got: $next_series")
-        end
-        if isempty(next_series.args)
-            _process_userrecipe(plt, kw_list, next_series)
-        else
-            rd_list = RecipesBase.apply_recipe(next_series.plotattributes, next_series.args...)
-            prepend!(still_to_process,rd_list)
-        end
-    end
-
-    # don't allow something else to handle it
-    plotattributes[:smooth] = false
-    kw_list
-end
-
 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
@@ -108,7 +85,7 @@ function _process_userrecipe(plt::Plot, kw_list::Vector{KW}, recipedata::RecipeD
     return
 end
 
-function _preprocess_userrecipe(kw::KW)
+function _preprocess_userrecipe(kw::AKW)
     _add_markershape(kw)
 
     # if there was a grouping, filter the data here
@@ -132,7 +109,7 @@ function _preprocess_userrecipe(kw::KW)
     return
 end
 
-function _add_errorbar_kw(kw_list::Vector{KW}, kw::KW)
+function _add_errorbar_kw(kw_list::Vector{KW}, kw::AKW)
     # 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 +124,7 @@ function _add_errorbar_kw(kw_list::Vector{KW}, kw::KW)
     end
 end
 
-function _add_smooth_kw(kw_list::Vector{KW}, kw::KW)
+function _add_smooth_kw(kw_list::Vector{KW}, kw::AKW)
     # handle smoothing by adding a new series
     if get(kw, :smooth, false)
         x, y = kw[:x], kw[:y]
@@ -166,44 +143,11 @@ function _add_smooth_kw(kw_list::Vector{KW}, kw::KW)
 end
 
 # ------------------------------------------------------------------
-# plot recipes
-
-# Grab the first in line to be processed and pass it through apply_recipe
-# to generate a list of RecipeData objects (data + attributes).
-# If we applied a "plot recipe" without error, then add the returned datalist's KWs,
-# otherwise we just add the original KW.
-function _process_plotrecipe(plt::Plot, kw::KW, kw_list::Vector{KW}, still_to_process::Vector{KW})
-    if !isa(get(kw, :seriestype, nothing), Symbol)
-        # seriestype was never set, or it's not a Symbol, so it can't be a plot recipe
-        push!(kw_list, kw)
-        return
-    end
-    try
-        st = kw[:seriestype]
-        st = kw[:seriestype] = get(_typeAliases, st, st)
-        datalist = RecipesBase.apply_recipe(kw, Val{st}, plt)
-        for data in datalist
-            preprocessArgs!(data.plotattributes)
-            if data.plotattributes[:seriestype] == st
-                error("Plot recipe $st returned the same seriestype: $(data.plotattributes)")
-            end
-            push!(still_to_process, data.plotattributes)
-        end
-    catch err
-        if isa(err, MethodError)
-            push!(kw_list, kw)
-        else
-            rethrow()
-        end
-    end
-    return
-end
-
 
 # ------------------------------------------------------------------
 # setup plot and subplot
 
-function _plot_setup(plt::Plot, plotattributes::KW, kw_list::Vector{KW})
+function _plot_setup(plt::Plot, plotattributes::AKW, kw_list::Vector{KW})
     # 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))
@@ -252,7 +196,7 @@ 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, plotattributes::AKW, kw_list::Vector{KW})
     # 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.
@@ -261,16 +205,16 @@ function _subplot_setup(plt::Plot, plotattributes::KW, kw_list::Vector{KW})
     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)))
+        sp = get_subplot(plt, _cycle(sps == :auto ? plt.subplots : plt.subplots[sps], series_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)
-            if haskey(_subplot_defaults, k) || haskey(_axis_defaults_byletter, k)
+            if is_subplot_attr(k) || is_axis_attr(k)
                 attr[k] = pop!(kw, k)
             end
-            if haskey(_axis_defaults, k)
+            if is_axis_attr_noletter(k)
                 v = pop!(kw, k)
                 for letter in (:x,:y,:z)
                     attr[Symbol(letter,k)] = v
@@ -303,7 +247,7 @@ 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
+function _prepare_subplot(plt::Plot{T}, plotattributes::AKW) where T
     st::Symbol = plotattributes[:seriestype]
     sp::Subplot{T} = plotattributes[:subplot]
     sp_idx = get_subplot_index(plt, sp)
@@ -327,7 +271,7 @@ end
 # ------------------------------------------------------------------
 # series types
 
-function _override_seriestype_check(plotattributes::KW, st::Symbol)
+function _override_seriestype_check(plotattributes::AKW, st::Symbol)
     # do we want to override the series type?
     if !is3d(st) && !(st in (:contour,:contour3d))
         z = plotattributes[:z]
@@ -339,7 +283,7 @@ function _override_seriestype_check(plotattributes::KW, st::Symbol)
     st
 end
 
-function _prepare_annotations(sp::Subplot, plotattributes::KW)
+function _prepare_annotations(sp::Subplot, plotattributes::AKW)
     # 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])
@@ -356,7 +300,7 @@ function _prepare_annotations(sp::Subplot, plotattributes::KW)
     # sp.attr[:annotations] = vcat(sp_anns, series_anns)
 end
 
-function _expand_subplot_extrema(sp::Subplot, plotattributes::KW, st::Symbol)
+function _expand_subplot_extrema(sp::Subplot, plotattributes::AKW, st::Symbol)
     # adjust extrema and discrete info
     if st == :image
         xmin, xmax = ignorenan_extrema(plotattributes[:x]); ymin, ymax = ignorenan_extrema(plotattributes[:y])
@@ -380,46 +324,3 @@ function _add_the_series(plt, sp, plotattributes)
     push!(sp.series_list, series)
     _series_added(plt, series)
 end
-
-# -------------------------------------------------------------------------------
-
-# this method recursively applies series recipes when the seriestype is not supported
-# natively by the backend
-function _process_seriesrecipe(plt::Plot, plotattributes::KW)
-    # replace seriestype aliases
-    st = Symbol(plotattributes[:seriestype])
-    st = plotattributes[:seriestype] = get(_typeAliases, st, st)
-
-    # shapes shouldn't have fillrange set
-    if plotattributes[:seriestype] == :shape
-        plotattributes[:fillrange] = nothing
-    end
-
-    # if it's natively supported, finalize processing and pass along to the backend, otherwise recurse
-    if is_seriestype_supported(st)
-        sp = _prepare_subplot(plt, plotattributes)
-        _prepare_annotations(sp, plotattributes)
-        _expand_subplot_extrema(sp, plotattributes, st)
-        _update_series_attributes!(plotattributes, plt, sp)
-        _add_the_series(plt, sp, plotattributes)
-
-    else
-        # get a sub list of series for this seriestype
-        datalist = RecipesBase.apply_recipe(plotattributes, Val{st}, plotattributes[:x], plotattributes[:y], plotattributes[:z])
-
-        # assuming there was no error, recursively apply the series recipes
-        for data in datalist
-            if isa(data, RecipeData)
-                preprocessArgs!(data.plotattributes)
-                if data.plotattributes[:seriestype] == st
-                    error("The seriestype didn't change in series recipe $st.  This will cause a StackOverflow.")
-                end
-                _process_seriesrecipe(plt, data.plotattributes)
-            else
-                @warn("Unhandled recipe: $(data)")
-                break
-            end
-        end
-    end
-    nothing
-end

src/plot.jl

@@ -54,7 +54,7 @@ function plot(args...; kw...)
     # create an empty Plot then process
     plt = Plot()
     # plt.user_attr = plotattributes
-    _plot!(plt, plotattributes, args)
+    recipe_pipeline!(plt, plotattributes, args, type_aliases=_typeAliases)
 end
 
 # build a new plot from existing plots
@@ -96,7 +96,7 @@ function plot(plt1::Plot, plts_tail::Plot...; kw...)
 
     series_attr = KW()
     for (k,v) in plotattributes
-        if haskey(_series_defaults, k)
+        if is_series_attr(k)
             series_attr[k] = pop!(plotattributes,k)
         end
     end
@@ -119,7 +119,7 @@ function plot(plt1::Plot, plts_tail::Plot...; kw...)
         sp.attr[:subplot_index] = idx
         for series in serieslist
             merge!(series.plotattributes, series_attr)
-            _add_defaults!(series.plotattributes, plt, sp, cmdidx)
+            _slice_series_args!(series.plotattributes, plt, sp, cmdidx)
             push!(plt.series_list, series)
             _series_added(plt, series)
             cmdidx += 1
@@ -155,7 +155,7 @@ function plot!(plt::Plot, args...; kw...)
     plotattributes = KW(kw)
     preprocessArgs!(plotattributes)
     # merge!(plt.user_attr, plotattributes)
-    _plot!(plt, plotattributes, args)
+    recipe_pipeline!(plt, plotattributes, args, type_aliases=_typeAliases)
 end
 
 # -------------------------------------------------------------------------------
@@ -163,79 +163,41 @@ 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)
+
+## here we implement the recipe interface
+function _recipe_init!(plt::Plot, plotattributes::AKW, args::Tuple)
     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")
     end
+end
 
-    # --------------------------------
-    # "USER RECIPES"
-    # --------------------------------
-
-    kw_list = _process_userrecipes(plt, plotattributes, args)
-
-    # @info(1)
-    # map(DD, kw_list)
-
-
-    # --------------------------------
-    # "PLOT RECIPES"
-    # --------------------------------
-
-    # "plot recipe", which acts like a series type, and is processed before
-    # 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)
-        next_kw = popfirst!(still_to_process)
-        _process_plotrecipe(plt, next_kw, kw_list, still_to_process)
-    end
-
-    # @info(2)
-    # map(DD, kw_list)
-
+function _recipe_after_plot!(plt::Plot, plotattributes::AKW, kw_list::Vector{KW})
     # --------------------------------
     # Plot/Subplot/Layout setup
     # --------------------------------
     _plot_setup(plt, plotattributes, kw_list)
     _subplot_setup(plt, plotattributes, kw_list)
+end
 
-    # !!! note: At this point, kw_list is fully decomposed into individual series... one KW per series.          !!!
-    # !!!       The next step is to recursively apply series recipes until the backend supports that series type !!!
+function _recipe_after_user!(plt::Plot, plotattributes::AKW, kw_list::Vector{KW})
+    # don't allow something else to handle it
+    plotattributes[:smooth] = false
+end
 
-    # --------------------------------
-    # "SERIES RECIPES"
-    # --------------------------------
+function _recipe_before_series!(plt::Plot, kw, kw_list)
+    sp::Subplot = kw[:subplot]
 
-    # @info(3)
-    # map(DD, kw_list)
+    # in series attributes given as vector with one element per series,
+    # select the value for current series
+    _slice_series_args!(kw, plt, sp, series_idx(kw_list,kw))
 
-    for kw in kw_list
-        sp::Subplot = kw[:subplot]
-        # idx = get_subplot_index(plt, sp)
-
-        # # we update subplot args in case something like the color palatte is part of the recipe
-        # _update_subplot_args(plt, sp, kw, idx, true)
-
-        # set default values, select from attribute cycles, and generally set the final attributes
-        _add_defaults!(kw, plt, sp, command_idx(kw_list,kw))
-
-        # now we have a fully specified series, with colors chosen.   we must recursively handle
-        # series recipes, which dispatch on seriestype.  If a backend does not natively support a seriestype,
-        # we check for a recipe that will convert that series type into one made up of lower-level components.
-        # For example, a histogram is just a bar plot with binned data, a bar plot is really a filled step plot,
-        # and a step plot is really just a path.  So any backend that supports drawing a path will implicitly
-        # be able to support step, bar, and histogram plots (and any recipes that use those components).
-        _process_seriesrecipe(plt, kw)
-    end
-
-    # --------------------------------
+    series_attr = Attr(kw, _series_defaults)
+end
 
+function _recipe_finish!(plt::Plot, plotattributes::AKW, args::Tuple)
     current(plt)
 
     # do we want to force display?
@@ -247,7 +209,6 @@ function _plot!(plt::Plot, plotattributes::KW, args::Tuple)
     plt
 end
 
-
 # we're getting ready to display/output.  prep for layout calcs, then update
 # the plot object after
 function prepare_output(plt::Plot)

src/precompile.jl

@@ -1,3 +1,788 @@
 function _precompile_()
     ccall(:jl_generating_output, Cint, ()) == 1 || return nothing
+    isdefined(Plots, Symbol("#@layout")) && precompile(Tuple{getfield(Plots, Symbol("#@layout")), LineNumberNode, Module, Expr})
+    isdefined(Plots, Symbol("#kw##_make_hist")) && precompile(Tuple{getfield(Plots, Symbol("#kw##_make_hist")), NamedTuple{(:normed, :weights), Tuple{Bool, Array{Int64, 1}}}, typeof(Plots._make_hist), Tuple{Array{Float64, 1}}, Symbol})
+    isdefined(Plots, Symbol("#kw##_make_hist")) && precompile(Tuple{getfield(Plots, Symbol("#kw##_make_hist")), NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}}, typeof(Plots._make_hist), Tuple{Array{Float64, 1}, Array{Float64, 1}}, Int64})
+    isdefined(Plots, Symbol("#kw##_make_hist")) && precompile(Tuple{getfield(Plots, Symbol("#kw##_make_hist")), NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}}, typeof(Plots._make_hist), Tuple{Array{Float64, 1}, Array{Float64, 1}}, Tuple{Int64, Int64}})
+    isdefined(Plots, Symbol("#kw##_make_hist")) && precompile(Tuple{getfield(Plots, Symbol("#kw##_make_hist")), NamedTuple{(:normed, :weights), Tuple{Bool, Nothing}}, typeof(Plots._make_hist), Tuple{Array{Float64, 1}}, Symbol})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:flip,), Tuple{Bool}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:foreground_color_grid, :grid, :gridalpha, :gridstyle, :gridlinewidth), Tuple{ColorTypes.RGBA{Float64}, Bool, Float64, Symbol, Int64}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:formatter,), Tuple{Symbol}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:grid, :lims), Tuple{Bool, Tuple{Int64, Int64}}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:grid, :lims, :flip), Tuple{Bool, Tuple{Int64, Int64}, Bool}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:grid, :ticks), Tuple{Bool, Nothing}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:grid,), Tuple{Bool}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:grid,), Tuple{Bool}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:guide,), Tuple{String}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:lims, :flip, :ticks, :guide), Tuple{Tuple{Int64, Int64}, Bool, Base.StepRange{Int64, Int64}, String}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:lims,), Tuple{Tuple{Int64, Float64}}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:lims,), Tuple{Tuple{Int64, Int64}}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:lims,), Tuple{Tuple{Int64, Int64}}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:rotation,), Tuple{Int64}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:scale, :guide), Tuple{Symbol, String}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:ticks,), Tuple{Base.UnitRange{Int64}}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##attr!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##attr!")), NamedTuple{(:ticks,), Tuple{Nothing}}, typeof(Plots.attr!), Plots.Axis})
+    isdefined(Plots, Symbol("#kw##contour")) && precompile(Tuple{getfield(Plots, Symbol("#kw##contour")), NamedTuple{(:fill,), Tuple{Bool}}, typeof(Plots.contour), Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Int})
+    isdefined(Plots, Symbol("#kw##gr_polyline")) && precompile(Tuple{getfield(Plots, Symbol("#kw##gr_polyline")), NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}}, typeof(Plots.gr_polyline), Array{Float64, 1}, Array{Float64, 1}})
+    isdefined(Plots, Symbol("#kw##gr_polyline")) && precompile(Tuple{getfield(Plots, Symbol("#kw##gr_polyline")), NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}}, typeof(Plots.gr_polyline), Array{Int64, 1}, Array{Float64, 1}})
+    isdefined(Plots, Symbol("#kw##gr_polyline")) && precompile(Tuple{getfield(Plots, Symbol("#kw##gr_polyline")), NamedTuple{(:arrowside, :arrowstyle), Tuple{Symbol, Symbol}}, typeof(Plots.gr_polyline), Base.UnitRange{Int64}, Array{Float64, 1}})
+    isdefined(Plots, Symbol("#kw##gr_set_font")) && precompile(Tuple{getfield(Plots, Symbol("#kw##gr_set_font")), NamedTuple{(:halign, :valign, :rotation), Tuple{Symbol, Symbol, Int64}}, typeof(Plots.gr_set_font), Plots.Font})
+    isdefined(Plots, Symbol("#kw##heatmap")) && precompile(Tuple{getfield(Plots, Symbol("#kw##heatmap")), NamedTuple{(:aspect_ratio,), Tuple{Int64}}, typeof(Plots.heatmap), Array{String, 1}, Int})
+    isdefined(Plots, Symbol("#kw##histogram")) && precompile(Tuple{getfield(Plots, Symbol("#kw##histogram")), NamedTuple{(:bins, :weights), Tuple{Symbol, Array{Int64, 1}}}, typeof(Plots.histogram), Array{Float64, 1}})
+    isdefined(Plots, Symbol("#kw##histogram2d")) && precompile(Tuple{getfield(Plots, Symbol("#kw##histogram2d")), NamedTuple{(:nbins, :show_empty_bins, :normed, :aspect_ratio), Tuple{Tuple{Int64, Int64}, Bool, Bool, Int64}}, typeof(Plots.histogram2d), Array{Base.Complex{Float64}, 1}})
+    isdefined(Plots, Symbol("#kw##histogram2d")) && precompile(Tuple{getfield(Plots, Symbol("#kw##histogram2d")), NamedTuple{(:nbins,), Tuple{Int64}}, typeof(Plots.histogram2d), Array{Float64, 1}, Array{Float64, 1}})
+    isdefined(Plots, Symbol("#kw##hline!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##hline!")), NamedTuple{(:line,), Tuple{Tuple{Int64, Symbol, Float64, Array{Symbol, 2}}}}, typeof(Plots.hline!), Array{Float64, 2}})
+    isdefined(Plots, Symbol("#kw##pie")) && precompile(Tuple{getfield(Plots, Symbol("#kw##pie")), NamedTuple{(:title, :l), Tuple{String, Float64}}, typeof(Plots.pie), Array{String, 1}, Int})
+    isdefined(Plots, Symbol("#kw##portfoliocomposition")) && precompile(Tuple{getfield(Plots, Symbol("#kw##portfoliocomposition")), NamedTuple{(:labels,), Tuple{Array{String, 2}}}, typeof(Plots.portfoliocomposition), Array{Float64, 2}, Int})
+    isdefined(Plots, Symbol("#kw##scatter!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##scatter!")), NamedTuple{(:marker, :series_annotations), Tuple{Tuple{Int64, Float64, Symbol}, Array{Any, 1}}}, typeof(Plots.scatter!), Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Int})
+    isdefined(Plots, Symbol("#kw##scatter!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##scatter!")), NamedTuple{(:markersize, :c), Tuple{Int64, Symbol}}, typeof(Plots.scatter!), Array{Float64, 1}})
+    isdefined(Plots, Symbol("#kw##scatter!")) && precompile(Tuple{getfield(Plots, Symbol("#kw##scatter!")), NamedTuple{(:zcolor, :m, :ms, :lab), Tuple{Array{Float64, 1}, Tuple{Symbol, Float64, Plots.Stroke}, Array{Float64, 1}, String}}, typeof(Plots.scatter!), Array{Float64, 1}})
+    isdefined(Plots, Symbol("#kw##scatter")) && precompile(Tuple{getfield(Plots, Symbol("#kw##scatter")), NamedTuple{(:framestyle, :title, :color, :layout, :label, :markerstrokewidth, :ticks), Tuple{Array{Symbol, 2}, Array{String, 2}, Base.ReshapedArray{Int64, 2, Base.UnitRange{Int64}, Tuple{}}, Int64, String, Int64, Base.UnitRange{Int64}}}, typeof(Plots.scatter), Array{Array{Float64, 1}, 1}, Array{Array{Float64, 1}, 1}})
+    isdefined(Plots, Symbol("#kw##scatter")) && precompile(Tuple{getfield(Plots, Symbol("#kw##scatter")), NamedTuple{(:m, :lab, :bg, :xlim, :ylim), Tuple{Tuple{Int64, Symbol}, Array{String, 2}, Symbol, Tuple{Int64, Int64}, Tuple{Int64, Int64}}}, typeof(Plots.scatter), Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Int})
+    isdefined(Plots, Symbol("#kw##test_examples")) && precompile(Tuple{getfield(Plots, Symbol("#kw##test_examples")), NamedTuple{(:disp,), Tuple{Bool}}, typeof(Plots.test_examples), Symbol})
+    precompile(Tuple{typeof(Plots.__init__)})
+    precompile(Tuple{typeof(Plots._add_errorbar_kw), Array{Base.Dict{Symbol, Any}, 1}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots._add_errorbar_kw), Array{Base.Dict{Symbol, Any}, 1}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots._add_markershape), Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots._add_markershape), Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots._add_smooth_kw), Array{Base.Dict{Symbol, Any}, 1}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots._add_smooth_kw), Array{Base.Dict{Symbol, Any}, 1}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots._add_the_series), Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots._add_the_series), Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots._apply_type_recipe), Base.Dict{Symbol, Any}, Array{Array{Float64, 1}, 1}})
+    precompile(Tuple{typeof(Plots._apply_type_recipe), Base.Dict{Symbol, Any}, Array{Array{T, 1} where T, 1}})
+    precompile(Tuple{typeof(Plots._apply_type_recipe), Base.Dict{Symbol, Any}, Array{Function, 1}})
+    precompile(Tuple{typeof(Plots._apply_type_recipe), Base.Dict{Symbol, Any}, Array{String, 1}})
+    precompile(Tuple{typeof(Plots._apply_type_recipe), Base.Dict{Symbol, Any}, Array{Union{Base.Missing, Int64}, 1}})
+    precompile(Tuple{typeof(Plots._apply_type_recipe), Base.Dict{Symbol, Any}, typeof(identity)})
+    precompile(Tuple{typeof(Plots._backend_instance), Symbol})
+    precompile(Tuple{typeof(Plots._backend_instance), Symbol})
+    precompile(Tuple{typeof(Plots._bin_centers), Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots._binbarlike_baseline), Float64, Symbol})
+    precompile(Tuple{typeof(Plots._cbar_unique), Array{Nothing, 1}, String})
+    precompile(Tuple{typeof(Plots._cbar_unique), Array{PlotUtils.ColorGradient, 1}, String})
+    precompile(Tuple{typeof(Plots._create_backend_figure), Plots.Plot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots._cycle), Array{Any, 1}, Int64})
+    precompile(Tuple{typeof(Plots._cycle), Array{Float64, 1}, Array{Int64, 1}})
+    precompile(Tuple{typeof(Plots._cycle), Array{Float64, 1}, Base.UnitRange{Int64}})
+    precompile(Tuple{typeof(Plots._cycle), Array{Float64, 1}, Int64})
+    precompile(Tuple{typeof(Plots._cycle), Array{Plots.Subplot{T} where T<:RecipesBase.AbstractBackend, 1}, Int64})
+    precompile(Tuple{typeof(Plots._cycle), Array{String, 1}, Int64})
+    precompile(Tuple{typeof(Plots._cycle), Base.OneTo{Int64}, Array{Int64, 1}})
+    precompile(Tuple{typeof(Plots._cycle), Base.StepRange{Int64, Int64}, Int64})
+    precompile(Tuple{typeof(Plots._cycle), ColorTypes.RGBA{Float64}, Int64})
+    precompile(Tuple{typeof(Plots._cycle), Float64, Int64})
+    precompile(Tuple{typeof(Plots._cycle), Int64, Base.StepRange{Int64, Int64}})
+    precompile(Tuple{typeof(Plots._cycle), Int64, Int64})
+    precompile(Tuple{typeof(Plots._cycle), Nothing, Int64})
+    precompile(Tuple{typeof(Plots._cycle), Plots.Shape, Int64})
+    precompile(Tuple{typeof(Plots._cycle), Symbol, Int64})
+    precompile(Tuple{typeof(Plots._display), Plots.Plot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots._display), Plots.Plot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots._do_plot_show), Plots.Plot{Plots.GRBackend}, Symbol})
+    precompile(Tuple{typeof(Plots._do_plot_show), Plots.Plot{Plots.GRBackend}, Symbol})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Array{Float64, 1}, 1}, Array{Array{Float64, 1}, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Array{T, 1} where T, 1}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Array{T, 1} where T, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Base.Complex{Float64}, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}, Array{Float64, 1}, Base.UnitRange{Int64}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Function, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Function, 1}, Int64}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Int64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Plots.OHLC{T} where T<:Real, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{String, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{String, 1}, Array{String, 1}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Array{Union{Base.Missing, Int64}, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Base.StepRange{Int64, Int64}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Base.UnitRange{Int64}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Array{Float64, 1}, 1}, Array{Array{Float64, 1}, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Array{T, 1} where T, 1}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Array{T, 1} where T, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Base.Complex{Float64}, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Float64, 1}, Array{Float64, 1}, Base.UnitRange{Int64}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Float64, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Float64, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Function, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Function, 1}, Int64}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Int64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Plots.OHLC{T} where T<:Real, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{String, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{String, 1}, Array{String, 1}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Array{Union{Base.Missing, Int64}, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Base.StepRange{Int64, Int64}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Base.UnitRange{Int64}}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Plots.PortfolioComposition}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, Plots.Spy}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy, typeof(Base.log), Int64}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.GroupBy}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.PortfolioComposition}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{Plots.Spy}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{typeof(Base.log), Int64}})
+    precompile(Tuple{typeof(Plots._expand_seriestype_array), Base.Dict{Symbol, Any}, Tuple{}})
+    precompile(Tuple{typeof(Plots._expand_subplot_extrema), Plots.Subplot{Plots.GRBackend}, Plots.Attr, Symbol})
+    precompile(Tuple{typeof(Plots._expand_subplot_extrema), Plots.Subplot{Plots.GRBackend}, Plots.Attr, Symbol})
+    precompile(Tuple{typeof(Plots._filter_input_data!), Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots._heatmap_edges), Array{Float64, 1}, Bool})
+    precompile(Tuple{typeof(Plots._hist_edge), Tuple{Array{Float64, 1}}, Int64, Symbol})
+    precompile(Tuple{typeof(Plots._hist_edges), Tuple{Array{Float64, 1}, Array{Float64, 1}}, Int64})
+    precompile(Tuple{typeof(Plots._hist_edges), Tuple{Array{Float64, 1}, Array{Float64, 1}}, Tuple{Int64, Int64}})
+    precompile(Tuple{typeof(Plots._hist_edges), Tuple{Array{Float64, 1}}, Symbol})
+    precompile(Tuple{typeof(Plots._override_seriestype_check), Plots.Attr, Symbol})
+    precompile(Tuple{typeof(Plots._pick_default_backend)})
+    precompile(Tuple{typeof(Plots._pick_default_backend)})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Array{Float64, 1}, 1}, Array{Array{Float64, 1}, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Array{T, 1} where T, 1}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Array{T, 1} where T, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Base.Complex{Float64}, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}, Array{Float64, 1}, Base.UnitRange{Int64}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Function, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Function, 1}, Int64}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Int64, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Plots.OHLC{T} where T<:Real, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{String, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{String, 1}, Array{String, 1}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Union{Base.Missing, Int64}, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Base.StepRange{Int64, Int64}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Base.UnitRange{Int64}}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Plots.PortfolioComposition}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Plots.Spy}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{typeof(Base.log), Int64}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{}})
+    precompile(Tuple{typeof(Plots._plot!), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{}})
+    precompile(Tuple{typeof(Plots._plot_setup), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Array{Base.Dict{Symbol, Any}, 1}})
+    precompile(Tuple{typeof(Plots._plot_setup), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Array{Base.Dict{Symbol, Any}, 1}})
+    precompile(Tuple{typeof(Plots._plots_defaults)})
+    precompile(Tuple{typeof(Plots._prepare_annotations), Plots.Subplot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots._prepare_annotations), Plots.Subplot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots._prepare_subplot), Plots.Plot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots._prepare_subplot), Plots.Plot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Array{Float64, 1}, 1}, Array{Array{Float64, 1}, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Array{T, 1} where T, 1}, Array{Float64, 2}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Array{T, 1} where T, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Base.Complex{Float64}, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}, Array{Float64, 1}, Base.UnitRange{Int64}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}, Array{Float64, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}, Array{Float64, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 2}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Float64, 2}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Function, 1}, Array{Float64, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Function, 1}, Int64}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Int64, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Plots.OHLC{T} where T<:Real, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{String, 1}, Array{Float64, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{String, 1}, Array{String, 1}, Array{Float64, 2}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Array{Union{Base.Missing, Int64}, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 1}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 2}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 2}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Base.StepRange{Int64, Int64}, Array{Float64, 2}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Base.UnitRange{Int64}}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Plots.PortfolioComposition}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{Plots.Spy}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{typeof(Base.log), Int64}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_args), Base.Dict{Symbol, Any}, Tuple{}, Array{RecipesBase.RecipeData, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_barlike), Plots.Attr, Array{Float64, 1}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_barlike), Plots.Attr, Array{Int64, 1}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_barlike), Plots.Attr, Base.OneTo{Int64}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_binlike), Plots.Attr, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots._preprocess_userrecipe), Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots._preprocess_userrecipe), Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots._process_plotrecipe), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Array{Base.Dict{Symbol, Any}, 1}, Array{Base.Dict{Symbol, Any}, 1}})
+    precompile(Tuple{typeof(Plots._process_plotrecipe), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Array{Base.Dict{Symbol, Any}, 1}, Array{Base.Dict{Symbol, Any}, 1}})
+    precompile(Tuple{typeof(Plots._process_seriesrecipe), Plots.Plot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots._process_seriesrecipe), Plots.Plot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots._process_seriesrecipe), Plots.Plot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots._process_userrecipe), Plots.Plot{Plots.GRBackend}, Array{Base.Dict{Symbol, Any}, 1}, RecipesBase.RecipeData})
+    precompile(Tuple{typeof(Plots._process_userrecipe), Plots.Plot{Plots.GRBackend}, Array{Base.Dict{Symbol, Any}, 1}, RecipesBase.RecipeData})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Array{Float64, 1}, 1}, Array{Array{Float64, 1}, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Array{T, 1} where T, 1}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Array{T, 1} where T, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Base.Complex{Float64}, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}, Array{Float64, 1}, Base.UnitRange{Int64}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Function, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Function, 1}, Int64}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Int64, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Plots.OHLC{T} where T<:Real, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{String, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{String, 1}, Array{String, 1}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Array{Union{Base.Missing, Int64}, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Base.StepRange{Int64, Int64}, Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Base.UnitRange{Int64}}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Plots.PortfolioComposition}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{Plots.Spy}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{typeof(Base.log), Int64}})
+    precompile(Tuple{typeof(Plots._process_userrecipes), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Tuple{}})
+    precompile(Tuple{typeof(Plots._replace_linewidth), Plots.Attr})
+    precompile(Tuple{typeof(Plots._replace_linewidth), Plots.Attr})
+    precompile(Tuple{typeof(Plots._replace_markershape), Array{Symbol, 2}})
+    precompile(Tuple{typeof(Plots._replace_markershape), Plots.Shape})
+    precompile(Tuple{typeof(Plots._scale_adjusted_values), Type{Float64}, Array{Float64, 1}, Symbol})
+    precompile(Tuple{typeof(Plots._series_index), Plots.Attr, Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots._show), Base.IOStream, Base.Multimedia.MIME{Symbol("image/png")}, Plots.Plot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots._slice_series_args!), Base.Dict{Symbol, Any}, Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}, Int64})
+    precompile(Tuple{typeof(Plots._slice_series_args!), Base.Dict{Symbol, Any}, Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}, Int64})
+    precompile(Tuple{typeof(Plots._subplot_setup), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Array{Base.Dict{Symbol, Any}, 1}})
+    precompile(Tuple{typeof(Plots._subplot_setup), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Array{Base.Dict{Symbol, Any}, 1}})
+    precompile(Tuple{typeof(Plots._transform_ticks), Base.StepRange{Int64, Int64}})
+    precompile(Tuple{typeof(Plots._transform_ticks), Base.UnitRange{Int64}})
+    precompile(Tuple{typeof(Plots._transform_ticks), Nothing})
+    precompile(Tuple{typeof(Plots._transform_ticks), Symbol})
+    precompile(Tuple{typeof(Plots._update_axis), Plots.Axis, Base.Dict{Symbol, Any}, Symbol, Int64})
+    precompile(Tuple{typeof(Plots._update_axis), Plots.Axis, Base.Dict{Symbol, Any}, Symbol, Int64})
+    precompile(Tuple{typeof(Plots._update_axis), Plots.Axis, Plots.Attr, Symbol, Int64})
+    precompile(Tuple{typeof(Plots._update_axis), Plots.Axis, Plots.Attr, Symbol, Int64})
+    precompile(Tuple{typeof(Plots._update_axis), Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Symbol, Int64})
+    precompile(Tuple{typeof(Plots._update_axis), Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Symbol, Int64})
+    precompile(Tuple{typeof(Plots._update_axis), Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}, Plots.Attr, Symbol, Int64})
+    precompile(Tuple{typeof(Plots._update_axis), Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}, Plots.Attr, Symbol, Int64})
+    precompile(Tuple{typeof(Plots._update_axis_colors), Plots.Axis})
+    precompile(Tuple{typeof(Plots._update_axis_colors), Plots.Axis})
+    precompile(Tuple{typeof(Plots._update_axis_links), Plots.Plot{Plots.GRBackend}, Plots.Axis, Symbol})
+    precompile(Tuple{typeof(Plots._update_axis_links), Plots.Plot{Plots.GRBackend}, Plots.Axis, Symbol})
+    precompile(Tuple{typeof(Plots._update_clims), Float64, Float64, Float64, Float64})
+    precompile(Tuple{typeof(Plots._update_clims), Float64, Float64, Int64, Int64})
+    precompile(Tuple{typeof(Plots._update_min_padding!), Plots.GridLayout})
+    precompile(Tuple{typeof(Plots._update_min_padding!), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots._update_min_padding!), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots._update_plot_args), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots._update_plot_args), Plots.Plot{Plots.GRBackend}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots._update_plot_args), Plots.Plot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots._update_plot_args), Plots.Plot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots._update_series_attributes!), Plots.Attr, Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots._update_series_attributes!), Plots.Attr, Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots._update_series_attributes!), Plots.Attr, Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots._update_subplot_args), Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Int64, Bool})
+    precompile(Tuple{typeof(Plots._update_subplot_args), Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}, Base.Dict{Symbol, Any}, Int64, Bool})
+    precompile(Tuple{typeof(Plots._update_subplot_args), Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}, Plots.Attr, Int64, Bool})
+    precompile(Tuple{typeof(Plots._update_subplot_args), Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}, Plots.Attr, Int64, Bool})
+    precompile(Tuple{typeof(Plots._update_subplot_colors), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots._update_subplot_colors), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots._update_subplot_periphery), Plots.Subplot{Plots.GRBackend}, Array{Any, 1}})
+    precompile(Tuple{typeof(Plots._update_subplot_periphery), Plots.Subplot{Plots.GRBackend}, Array{Any, 1}})
+    precompile(Tuple{typeof(Plots.addExtension), String, String})
+    precompile(Tuple{typeof(Plots.add_layout_pct!), Base.Dict{Symbol, Any}, Expr, Int64, Int64})
+    precompile(Tuple{typeof(Plots.add_layout_pct!), Base.Dict{Symbol, Any}, Expr, Int64, Int64})
+    precompile(Tuple{typeof(Plots.aliasesAndAutopick), Plots.Attr, Symbol, Base.Dict{Symbol, Symbol}, Array{Symbol, 1}, Int64})
+    precompile(Tuple{typeof(Plots.aliasesAndAutopick), Plots.Attr, Symbol, Base.Dict{Symbol, Symbol}, Array{Symbol, 1}, Int64})
+    precompile(Tuple{typeof(Plots.all3D), Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.all3D), Plots.Attr})
+    precompile(Tuple{typeof(Plots.allAlphas), Int64})
+    precompile(Tuple{typeof(Plots.allReals), Int64})
+    precompile(Tuple{typeof(Plots.allStyles), Int64})
+    precompile(Tuple{typeof(Plots.allStyles), Symbol})
+    precompile(Tuple{typeof(Plots.annotate!), Array{Tuple{Int64, Float64, Plots.PlotText}, 1}})
+    precompile(Tuple{typeof(Plots.annotations), Array{Any, 1}})
+    precompile(Tuple{typeof(Plots.arrow), Int64})
+    precompile(Tuple{typeof(Plots.attr!), Plots.Axis})
+    precompile(Tuple{typeof(Plots.attr!), Plots.Axis})
+    precompile(Tuple{typeof(Plots.attr), Plots.EmptyLayout, Symbol, Symbol})
+    precompile(Tuple{typeof(Plots.attr), Plots.EmptyLayout, Symbol})
+    precompile(Tuple{typeof(Plots.autopick), Array{ColorTypes.RGBA{Float64}, 1}, Int64})
+    precompile(Tuple{typeof(Plots.autopick_ignore_none_auto), Array{Symbol, 1}, Int64})
+    precompile(Tuple{typeof(Plots.axis_drawing_info), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.axis_drawing_info_3d), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.axis_limits), Plots.Subplot{Plots.GRBackend}, Symbol, Bool, Bool})
+    precompile(Tuple{typeof(Plots.axis_limits), Plots.Subplot{Plots.GRBackend}, Symbol})
+    precompile(Tuple{typeof(Plots.backend), Plots.GRBackend})
+    precompile(Tuple{typeof(Plots.backend), Symbol})
+    precompile(Tuple{typeof(Plots.backend), Symbol})
+    precompile(Tuple{typeof(Plots.backend)})
+    precompile(Tuple{typeof(Plots.backend)})
+    precompile(Tuple{typeof(Plots.bar), Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.bbox!), Plots.GridLayout, Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}}})
+    precompile(Tuple{typeof(Plots.bbox!), Plots.Subplot{Plots.GRBackend}, Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}}})
+    precompile(Tuple{typeof(Plots.bottom), Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}}})
+    precompile(Tuple{typeof(Plots.bottompad), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.build_layout), Plots.Attr})
+    precompile(Tuple{typeof(Plots.build_layout), Plots.Attr})
+    precompile(Tuple{typeof(Plots.build_layout), Plots.GridLayout, Int64, Array{Plots.Plot{T} where T<:RecipesBase.AbstractBackend, 1}})
+    precompile(Tuple{typeof(Plots.build_layout), Plots.GridLayout, Int64, Array{Plots.Plot{T} where T<:RecipesBase.AbstractBackend, 1}})
+    precompile(Tuple{typeof(Plots.build_layout), Plots.GridLayout, Int64})
+    precompile(Tuple{typeof(Plots.build_layout), Plots.GridLayout, Int64})
+    precompile(Tuple{typeof(Plots.calc_num_subplots), Plots.EmptyLayout})
+    precompile(Tuple{typeof(Plots.calc_num_subplots), Plots.GridLayout})
+    precompile(Tuple{typeof(Plots.color_or_nothing!), Plots.Attr, Symbol})
+    precompile(Tuple{typeof(Plots.color_or_nothing!), Plots.Attr, Symbol})
+    precompile(Tuple{typeof(Plots.colorbar_style), Plots.Series})
+    precompile(Tuple{typeof(Plots.compute_gridsize), Int64, Int64, Int64})
+    precompile(Tuple{typeof(Plots.compute_xyz), Array{Float64, 1}, Array{Float64, 1}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.compute_xyz), Array{Float64, 1}, Array{Float64, 1}, Nothing})
+    precompile(Tuple{typeof(Plots.compute_xyz), Array{Float64, 1}, Array{Float64, 1}, Plots.Surface{Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots.compute_xyz), Array{Float64, 1}, typeof(identity), Nothing})
+    precompile(Tuple{typeof(Plots.compute_xyz), Array{Float64, 1}, typeof(identity), Nothing})
+    precompile(Tuple{typeof(Plots.compute_xyz), Array{String, 1}, Array{Float64, 1}, Nothing})
+    precompile(Tuple{typeof(Plots.compute_xyz), Array{String, 1}, Array{String, 1}, Plots.Surface{Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots.compute_xyz), Nothing, Array{Float64, 1}, Nothing})
+    precompile(Tuple{typeof(Plots.compute_xyz), Nothing, Array{Union{Base.Missing, Float64}, 1}, Nothing})
+    precompile(Tuple{typeof(Plots.compute_xyz), Nothing, Nothing, Nothing})
+    precompile(Tuple{typeof(Plots.contour), Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Int})
+    precompile(Tuple{typeof(Plots.contour_levels), Plots.Series, Tuple{Float64, Float64}})
+    precompile(Tuple{typeof(Plots.convertLegendValue), Bool})
+    precompile(Tuple{typeof(Plots.convertLegendValue), Symbol})
+    precompile(Tuple{typeof(Plots.convertToAnyVector), Array{Array{Float64, 1}, 1}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.convertToAnyVector), Array{Array{T, 1} where T, 1}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.convertToAnyVector), Array{Float64, 2}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.convertToAnyVector), Array{Function, 1}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.convertToAnyVector), Array{Function, 1}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.convertToAnyVector), Int64, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.convert_sci_unicode), String})
+    precompile(Tuple{typeof(Plots.convert_to_polar), Array{Float64, 1}, Array{Float64, 1}, Tuple{Int64, Float64}})
+    precompile(Tuple{typeof(Plots.create_grid), Expr})
+    precompile(Tuple{typeof(Plots.create_grid), Expr})
+    precompile(Tuple{typeof(Plots.create_grid), Symbol})
+    precompile(Tuple{typeof(Plots.create_grid_curly), Expr})
+    precompile(Tuple{typeof(Plots.create_grid_curly), Expr})
+    precompile(Tuple{typeof(Plots.create_grid_vcat), Expr})
+    precompile(Tuple{typeof(Plots.create_grid_vcat), Expr})
+    precompile(Tuple{typeof(Plots.default), Symbol})
+    precompile(Tuple{typeof(Plots.default_should_widen), Plots.Axis})
+    precompile(Tuple{typeof(Plots.discrete_value!), Plots.Axis, Array{String, 1}})
+    precompile(Tuple{typeof(Plots.discrete_value!), Plots.Axis, Array{Union{Base.Missing, Float64}, 1}})
+    precompile(Tuple{typeof(Plots.discrete_value!), Plots.Axis, Base.Missing})
+    precompile(Tuple{typeof(Plots.discrete_value!), Plots.Axis, Char})
+    precompile(Tuple{typeof(Plots.discrete_value!), Plots.Axis, String})
+    precompile(Tuple{typeof(Plots.ensure_gradient!), Plots.Attr, Symbol, Symbol})
+    precompile(Tuple{typeof(Plots.ensure_gradient!), Plots.Attr, Symbol, Symbol})
+    precompile(Tuple{typeof(Plots.ensure_gradient!), Plots.Attr, Symbol, Symbol})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Array{Int64, 1}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Array{Int64, 1}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Base.OneTo{Int64}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Base.OneTo{Int64}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Base.UnitRange{Int64}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Float64})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Int64})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Int64})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Plots.Surface{Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Plots.Surface{Array{Float64, 2}}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Tuple{Float64, Float64}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Axis, Tuple{Float64, Float64}})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Subplot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots.expand_extrema!), Plots.Subplot{Plots.GRBackend}, Plots.Attr})
+    precompile(Tuple{typeof(Plots.extendSeriesData), Array{Float64, 1}, Float64})
+    precompile(Tuple{typeof(Plots.extractGroupArgs), Array{String, 1}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.fakedata), Int64, Int64})
+    precompile(Tuple{typeof(Plots.fakedata), Int64, Int64})
+    precompile(Tuple{typeof(Plots.fg_color), Plots.Attr})
+    precompile(Tuple{typeof(Plots.fg_color), Plots.Attr})
+    precompile(Tuple{typeof(Plots.filter_data!), Base.Dict{Symbol, Any}, Array{Int64, 1}})
+    precompile(Tuple{typeof(Plots.filter_data), Array{Float64, 1}, Array{Int64, 1}})
+    precompile(Tuple{typeof(Plots.filter_data), Base.OneTo{Int64}, Array{Int64, 1}})
+    precompile(Tuple{typeof(Plots.filter_data), Nothing, Array{Int64, 1}})
+    precompile(Tuple{typeof(Plots.font), Int64, Int})
+    precompile(Tuple{typeof(Plots.font), String, Int})
+    precompile(Tuple{typeof(Plots.font), Symbol, Int})
+    precompile(Tuple{typeof(Plots.frame), Plots.Animation, Plots.Plot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.frame), Plots.Animation})
+    precompile(Tuple{typeof(Plots.get_axis), Plots.Subplot{Plots.GRBackend}, Symbol})
+    precompile(Tuple{typeof(Plots.get_axis), Plots.Subplot{Plots.GRBackend}, Symbol})
+    precompile(Tuple{typeof(Plots.get_clims), Plots.Series})
+    precompile(Tuple{typeof(Plots.get_clims), Plots.Subplot{Plots.GRBackend}, Plots.Series})
+    precompile(Tuple{typeof(Plots.get_clims), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.get_fillalpha), Plots.Series, Int64})
+    precompile(Tuple{typeof(Plots.get_fillalpha), Plots.Series})
+    precompile(Tuple{typeof(Plots.get_fillcolor), Plots.Series, Float64, Float64, Int64})
+    precompile(Tuple{typeof(Plots.get_fillcolor), Plots.Series, Tuple{Float64, Float64}, Int64})
+    precompile(Tuple{typeof(Plots.get_fillcolor), Plots.Series, Tuple{Float64, Float64}})
+    precompile(Tuple{typeof(Plots.get_linealpha), Plots.Series, Int64})
+    precompile(Tuple{typeof(Plots.get_linecolor), Plots.Series, Float64, Float64, Int64})
+    precompile(Tuple{typeof(Plots.get_linecolor), Plots.Series, Tuple{Float64, Float64}, Int64})
+    precompile(Tuple{typeof(Plots.get_linecolor), Plots.Series, Tuple{Float64, Float64}})
+    precompile(Tuple{typeof(Plots.get_linestyle), Plots.Series, Int64})
+    precompile(Tuple{typeof(Plots.get_linewidth), Plots.Series, Int64})
+    precompile(Tuple{typeof(Plots.get_markeralpha), Plots.Series, Int64})
+    precompile(Tuple{typeof(Plots.get_markercolor), Plots.Series, Float64, Float64, Int64})
+    precompile(Tuple{typeof(Plots.get_markerstrokealpha), Plots.Series, Int64})
+    precompile(Tuple{typeof(Plots.get_markerstrokecolor), Plots.Series, Int64})
+    precompile(Tuple{typeof(Plots.get_minor_ticks), Plots.Subplot{Plots.GRBackend}, Plots.Axis, Tuple{Array{Float64, 1}, Array{Any, 1}}})
+    precompile(Tuple{typeof(Plots.get_minor_ticks), Plots.Subplot{Plots.GRBackend}, Plots.Axis, Tuple{Array{Float64, 1}, Array{String, 1}}})
+    precompile(Tuple{typeof(Plots.get_series_color), ColorTypes.RGBA{Float64}, Plots.Subplot{Plots.GRBackend}, Int64, Symbol})
+    precompile(Tuple{typeof(Plots.get_series_color), Int64, Plots.Subplot{Plots.GRBackend}, Int64, Symbol})
+    precompile(Tuple{typeof(Plots.get_series_color), PlotUtils.ColorGradient, Plots.Subplot{Plots.GRBackend}, Int64, Symbol})
+    precompile(Tuple{typeof(Plots.get_series_color), Symbol, Plots.Subplot{Plots.GRBackend}, Int64, Symbol})
+    precompile(Tuple{typeof(Plots.get_series_color), Symbol, Plots.Subplot{Plots.GRBackend}, Int64, Symbol})
+    precompile(Tuple{typeof(Plots.get_subplot), Plots.Plot{Plots.GRBackend}, Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.get_ticks), Plots.Subplot{Plots.GRBackend}, Plots.Axis})
+    precompile(Tuple{typeof(Plots.get_ticks), Plots.Subplot{Plots.GRBackend}, Plots.Axis})
+    precompile(Tuple{typeof(Plots.get_xy), Array{Plots.OHLC{T} where T<:Real, 1}, Base.OneTo{Int64}})
+    precompile(Tuple{typeof(Plots.get_xy), Plots.OHLC{Float64}, Int64, Float64})
+    precompile(Tuple{typeof(Plots.getxy), Plots.Plot{Plots.GRBackend}, Int64})
+    precompile(Tuple{typeof(Plots.gr_axis_height), Plots.Subplot{Plots.GRBackend}, Plots.Axis})
+    precompile(Tuple{typeof(Plots.gr_axis_width), Plots.Subplot{Plots.GRBackend}, Plots.Axis})
+    precompile(Tuple{typeof(Plots.gr_color), ColorTypes.RGBA{Float64}, Type{ColorTypes.RGB{Float64}}})
+    precompile(Tuple{typeof(Plots.gr_colorbar_colors), Plots.Series, Tuple{Float64, Float64}})
+    precompile(Tuple{typeof(Plots.gr_contour_levels), Plots.Series, Tuple{Float64, Float64}})
+    precompile(Tuple{typeof(Plots.gr_display), Plots.Plot{Plots.GRBackend}, String})
+    precompile(Tuple{typeof(Plots.gr_display), Plots.Plot{Plots.GRBackend}, String})
+    precompile(Tuple{typeof(Plots.gr_display), Plots.Subplot{Plots.GRBackend}, Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.gr_draw_colorbar), Plots.GRColorbar, Plots.Subplot{Plots.GRBackend}, Tuple{Float64, Float64}})
+    precompile(Tuple{typeof(Plots.gr_draw_marker), Float64, Float64, Int64, Plots.Shape})
+    precompile(Tuple{typeof(Plots.gr_draw_marker), Float64, Float64, Int64, Symbol})
+    precompile(Tuple{typeof(Plots.gr_draw_marker), Int64, Float64, Float64, Plots.Shape})
+    precompile(Tuple{typeof(Plots.gr_draw_marker), Int64, Float64, Float64, Symbol})
+    precompile(Tuple{typeof(Plots.gr_draw_marker), Int64, Float64, Int64, Plots.Shape})
+    precompile(Tuple{typeof(Plots.gr_draw_marker), Int64, Float64, Int64, Symbol})
+    precompile(Tuple{typeof(Plots.gr_draw_markers), Plots.Series, Array{Float64, 1}, Array{Float64, 1}, Tuple{Float64, Float64}, Int64})
+    precompile(Tuple{typeof(Plots.gr_draw_markers), Plots.Series, Array{Float64, 1}, Array{Float64, 1}, Tuple{Float64, Float64}})
+    precompile(Tuple{typeof(Plots.gr_draw_markers), Plots.Series, Array{Int64, 1}, Array{Float64, 1}, Tuple{Float64, Float64}, Int64})
+    precompile(Tuple{typeof(Plots.gr_draw_markers), Plots.Series, Array{Int64, 1}, Array{Float64, 1}, Tuple{Float64, Float64}})
+    precompile(Tuple{typeof(Plots.gr_draw_markers), Plots.Series, Base.OneTo{Int64}, Array{Float64, 1}, Tuple{Float64, Float64}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.gr_draw_markers), Plots.Series, Base.OneTo{Int64}, Array{Float64, 1}, Tuple{Float64, Float64}, Int64})
+    precompile(Tuple{typeof(Plots.gr_draw_markers), Plots.Series, Base.OneTo{Int64}, Array{Float64, 1}, Tuple{Float64, Float64}})
+    precompile(Tuple{typeof(Plots.gr_draw_markers), Plots.Series, Float64, Float64, Tuple{Float64, Float64}, Int64})
+    precompile(Tuple{typeof(Plots.gr_fill_viewport), Array{Float64, 1}, ColorTypes.RGBA{Float64}})
+    precompile(Tuple{typeof(Plots.gr_get_color), Plots.Series})
+    precompile(Tuple{typeof(Plots.gr_get_ticks_size), Tuple{Array{Float64, 1}, Array{Any, 1}}, Int64})
+    precompile(Tuple{typeof(Plots.gr_get_ticks_size), Tuple{Array{Float64, 1}, Array{String, 1}}, Int64})
+    precompile(Tuple{typeof(Plots.gr_inqtext), Int64, Int64, String})
+    precompile(Tuple{typeof(Plots.gr_legend_pos), Plots.Subplot{Plots.GRBackend}, Float64, Float64})
+    precompile(Tuple{typeof(Plots.gr_polaraxes), Int64, Float64, Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.gr_polyline), Array{Float64, 1}, Array{Float64, 1}, typeof(identity)})
+    precompile(Tuple{typeof(Plots.gr_polyline), Array{Float64, 1}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.gr_set_fill), ColorTypes.RGBA{Float64}})
+    precompile(Tuple{typeof(Plots.gr_set_fillcolor), ColorTypes.RGBA{Float64}})
+    precompile(Tuple{typeof(Plots.gr_set_font), Plots.Font})
+    precompile(Tuple{typeof(Plots.gr_set_font), Plots.Font})
+    precompile(Tuple{typeof(Plots.gr_set_gradient), PlotUtils.ColorGradient})
+    precompile(Tuple{typeof(Plots.gr_set_gradient), Plots.Series})
+    precompile(Tuple{typeof(Plots.gr_set_line), Float64, Symbol, ColorTypes.RGBA{Float64}})
+    precompile(Tuple{typeof(Plots.gr_set_line), Int64, Symbol, ColorTypes.RGBA{Float64}})
+    precompile(Tuple{typeof(Plots.gr_set_line), Int64, Symbol, PlotUtils.ColorGradient})
+    precompile(Tuple{typeof(Plots.gr_set_linecolor), PlotUtils.ColorGradient})
+    precompile(Tuple{typeof(Plots.gr_set_markercolor), ColorTypes.RGBA{Float64}})
+    precompile(Tuple{typeof(Plots.gr_set_textcolor), ColorTypes.RGBA{Float64}})
+    precompile(Tuple{typeof(Plots.gr_set_transparency), ColorTypes.RGBA{Float64}, Float64})
+    precompile(Tuple{typeof(Plots.gr_set_transparency), ColorTypes.RGBA{Float64}, Nothing})
+    precompile(Tuple{typeof(Plots.gr_set_viewport_cmap), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.gr_set_viewport_polar)})
+    precompile(Tuple{typeof(Plots.gr_set_xticks_font), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.gr_set_xticks_font), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.gr_set_yticks_font), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.gr_set_yticks_font), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.gr_text), Float64, Float64, String})
+    precompile(Tuple{typeof(Plots.gr_text_size), String, Int64})
+    precompile(Tuple{typeof(Plots.gr_text_size), String})
+    precompile(Tuple{typeof(Plots.gr_update_colorbar!), Plots.GRColorbar, Plots.Series})
+    precompile(Tuple{typeof(Plots.gr_viewport_from_bbox), Plots.Subplot{Plots.GRBackend}, Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}}, Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.gr_w3tondc), Float64, Float64, Float64})
+    precompile(Tuple{typeof(Plots.gui), Plots.Plot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.guidefont), Plots.Axis})
+    precompile(Tuple{typeof(Plots.guidefont), Plots.Axis})
+    precompile(Tuple{typeof(Plots.handleColors!), Base.Dict{Symbol, Any}, Array{Symbol, 2}, Symbol})
+    precompile(Tuple{typeof(Plots.handleColors!), Base.Dict{Symbol, Any}, Array{Symbol, 2}, Symbol})
+    precompile(Tuple{typeof(Plots.handleColors!), Base.Dict{Symbol, Any}, Array{Symbol, 2}, Symbol})
+    precompile(Tuple{typeof(Plots.handleColors!), Base.Dict{Symbol, Any}, ColorTypes.RGBA{Float64}, Symbol})
+    precompile(Tuple{typeof(Plots.handleColors!), Base.Dict{Symbol, Any}, Plots.Shape, Symbol})
+    precompile(Tuple{typeof(Plots.handleColors!), Base.Dict{Symbol, Any}, Symbol, Symbol})
+    precompile(Tuple{typeof(Plots.handleColors!), Base.Dict{Symbol, Any}, Symbol, Symbol})
+    precompile(Tuple{typeof(Plots.handleColors!), Base.Dict{Symbol, Any}, Symbol, Symbol})
+    precompile(Tuple{typeof(Plots.has_attribute_segments), Plots.Series})
+    precompile(Tuple{typeof(Plots.hascolorbar), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.hasgrid), Symbol, Symbol})
+    precompile(Tuple{typeof(Plots.heatmap_edges), Array{Float64, 1}, Symbol, Array{Float64, 1}, Symbol, Tuple{Int64, Int64}})
+    precompile(Tuple{typeof(Plots.heatmap_edges), Array{Float64, 1}, Symbol, Bool})
+    precompile(Tuple{typeof(Plots.heatmap_edges), Array{Float64, 1}, Symbol})
+    precompile(Tuple{typeof(Plots.heatmap_edges), Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Symbol, Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Symbol, Tuple{Int64, Int64}})
+    precompile(Tuple{typeof(Plots.heatmap_edges), Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Symbol, Bool})
+    precompile(Tuple{typeof(Plots.heatmap_edges), Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Symbol, Bool})
+    precompile(Tuple{typeof(Plots.heatmap_edges), Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Symbol})
+    precompile(Tuple{typeof(Plots.heatmap_edges), Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Symbol})
+    precompile(Tuple{typeof(Plots.ignorenan_extrema), Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.ignorenan_extrema), Array{Float64, 2}})
+    precompile(Tuple{typeof(Plots.ignorenan_extrema), Base.StepRange{Int64, Int64}})
+    precompile(Tuple{typeof(Plots.ignorenan_extrema), Plots.Axis})
+    precompile(Tuple{typeof(Plots.ignorenan_maximum), Base.OneTo{Int64}})
+    precompile(Tuple{typeof(Plots.ignorenan_minimum), Array{Int64, 1}})
+    precompile(Tuple{typeof(Plots.ignorenan_minimum), Base.OneTo{Int64}})
+    precompile(Tuple{typeof(Plots.inline), Plots.Plot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.is3d), Plots.Attr})
+    precompile(Tuple{typeof(Plots.is3d), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.is3d), Symbol})
+    precompile(Tuple{typeof(Plots.is_2tuple), Int64})
+    precompile(Tuple{typeof(Plots.is_2tuple), Symbol})
+    precompile(Tuple{typeof(Plots.is_axis_attr), Symbol})
+    precompile(Tuple{typeof(Plots.is_marker_supported), Plots.GRBackend, Symbol})
+    precompile(Tuple{typeof(Plots.is_marker_supported), Plots.Shape})
+    precompile(Tuple{typeof(Plots.is_marker_supported), Symbol})
+    precompile(Tuple{typeof(Plots.is_marker_supported), Symbol})
+    precompile(Tuple{typeof(Plots.is_scale_supported), Plots.GRBackend, Symbol})
+    precompile(Tuple{typeof(Plots.is_seriestype_supported), Plots.GRBackend, Symbol})
+    precompile(Tuple{typeof(Plots.is_seriestype_supported), Symbol})
+    precompile(Tuple{typeof(Plots.is_seriestype_supported), Symbol})
+    precompile(Tuple{typeof(Plots.is_style_supported), Plots.GRBackend, Symbol})
+    precompile(Tuple{typeof(Plots.is_uniformly_spaced), Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.iscontour), Plots.Series})
+    precompile(Tuple{typeof(Plots.isijulia)})
+    precompile(Tuple{typeof(Plots.ispolar), Plots.Series})
+    precompile(Tuple{typeof(Plots.ispolar), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.isvertical), Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.isvertical), Plots.Attr})
+    precompile(Tuple{typeof(Plots.isvertical), Plots.Attr})
+    precompile(Tuple{typeof(Plots.iter_segments), Array{Float64, 1}, Array{Float64, 1}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.iter_segments), Array{Int64, 1}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.iter_segments), Base.OneTo{Int64}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.iter_segments), Base.UnitRange{Int64}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.iter_segments), Plots.Series})
+    precompile(Tuple{typeof(Plots.labelfunc), Symbol, Plots.GRBackend})
+    precompile(Tuple{typeof(Plots.layout_args), Base.Dict{Symbol, Any}, Int64})
+    precompile(Tuple{typeof(Plots.layout_args), Base.Dict{Symbol, Any}, Int64})
+    precompile(Tuple{typeof(Plots.layout_args), Int64, Int64})
+    precompile(Tuple{typeof(Plots.layout_args), Int64, Plots.GridLayout})
+    precompile(Tuple{typeof(Plots.layout_args), Int64})
+    precompile(Tuple{typeof(Plots.layout_args), Plots.Attr})
+    precompile(Tuple{typeof(Plots.layout_args), Plots.GridLayout})
+    precompile(Tuple{typeof(Plots.leftpad), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.legendfont), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.legendtitlefont), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.like_histogram), Symbol})
+    precompile(Tuple{typeof(Plots.like_surface), Symbol})
+    precompile(Tuple{typeof(Plots.link_axes!), Array{RecipesBase.AbstractLayout, 1}, Symbol})
+    precompile(Tuple{typeof(Plots.link_axes!), Array{RecipesBase.AbstractLayout, 1}, Symbol})
+    precompile(Tuple{typeof(Plots.link_axes!), Plots.Axis, Plots.Axis})
+    precompile(Tuple{typeof(Plots.link_axes!), Plots.Axis, Plots.Axis})
+    precompile(Tuple{typeof(Plots.link_axes!), Plots.GridLayout, Symbol})
+    precompile(Tuple{typeof(Plots.link_axes!), Plots.GridLayout, Symbol})
+    precompile(Tuple{typeof(Plots.link_axes!), Plots.Subplot{Plots.GRBackend}, Symbol})
+    precompile(Tuple{typeof(Plots.link_subplots), Array{RecipesBase.AbstractLayout, 1}, Symbol})
+    precompile(Tuple{typeof(Plots.locate_annotation), Plots.Subplot{Plots.GRBackend}, Int64, Float64, Plots.PlotText})
+    precompile(Tuple{typeof(Plots.make_fillrange_from_ribbon), Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.make_fillrange_side), Array{Float64, 1}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.make_fillrange_side), Array{Float64, 1}, Int64})
+    precompile(Tuple{typeof(Plots.make_steps), Array{Float64, 1}, Symbol})
+    precompile(Tuple{typeof(Plots.make_steps), Array{Int64, 1}, Symbol})
+    precompile(Tuple{typeof(Plots.make_steps), Base.OneTo{Int64}, Symbol})
+    precompile(Tuple{typeof(Plots.make_steps), Nothing, Symbol})
+    precompile(Tuple{typeof(Plots.nanappend!), Array{Float64, 1}, Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.nobigs), Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.ohlc), Array{Plots.OHLC{T} where T<:Real, 1}})
+    precompile(Tuple{typeof(Plots.optimal_ticks_and_labels), Plots.Subplot{Plots.GRBackend}, Plots.Axis, Base.StepRange{Int64, Int64}})
+    precompile(Tuple{typeof(Plots.optimal_ticks_and_labels), Plots.Subplot{Plots.GRBackend}, Plots.Axis, Base.UnitRange{Int64}})
+    precompile(Tuple{typeof(Plots.optimal_ticks_and_labels), Plots.Subplot{Plots.GRBackend}, Plots.Axis, Nothing})
+    precompile(Tuple{typeof(Plots.optimal_ticks_and_labels), Plots.Subplot{Plots.GRBackend}, Plots.Axis, Nothing})
+    precompile(Tuple{typeof(Plots.parse_axis_kw), Symbol})
+    precompile(Tuple{typeof(Plots.pie_labels), Plots.Subplot{Plots.GRBackend}, Plots.Series})
+    precompile(Tuple{typeof(Plots.plotarea!), Plots.GridLayout, Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}}})
+    precompile(Tuple{typeof(Plots.plotarea!), Plots.Subplot{Plots.GRBackend}, Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}}})
+    precompile(Tuple{typeof(Plots.png), Plots.Plot{Plots.GRBackend}, String})
+    precompile(Tuple{typeof(Plots.prepareSeriesData), Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.prepareSeriesData), Array{Float64, 2}})
+    precompile(Tuple{typeof(Plots.prepareSeriesData), Array{Int32, 1}})
+    precompile(Tuple{typeof(Plots.prepareSeriesData), Array{Int64, 1}})
+    precompile(Tuple{typeof(Plots.prepareSeriesData), Array{Union{Base.Missing, Int64}, 1}})
+    precompile(Tuple{typeof(Plots.prepareSeriesData), Array{Union{Base.Missing, Number}, 1}})
+    precompile(Tuple{typeof(Plots.prepareSeriesData), Array{Union{Base.Missing, Number}, 1}})
+    precompile(Tuple{typeof(Plots.prepareSeriesData), Base.LinRange{Float64}})
+    precompile(Tuple{typeof(Plots.prepareSeriesData), Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}})
+    precompile(Tuple{typeof(Plots.prepare_output), Plots.Plot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.prepare_output), Plots.Plot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.preprocessArgs!), Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.preprocessArgs!), Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.preprocessArgs!), Plots.Attr})
+    precompile(Tuple{typeof(Plots.preprocessArgs!), Plots.Attr})
+    precompile(Tuple{typeof(Plots.processFillArg), Base.Dict{Symbol, Any}, Bool})
+    precompile(Tuple{typeof(Plots.processFillArg), Base.Dict{Symbol, Any}, Float64})
+    precompile(Tuple{typeof(Plots.processFillArg), Base.Dict{Symbol, Any}, Int64})
+    precompile(Tuple{typeof(Plots.processFillArg), Base.Dict{Symbol, Any}, Symbol})
+    precompile(Tuple{typeof(Plots.processFillArg), Base.Dict{Symbol, Any}, Symbol})
+    precompile(Tuple{typeof(Plots.processFillArg), Base.Dict{Symbol, Any}, Symbol})
+    precompile(Tuple{typeof(Plots.processGridArg!), Base.Dict{Symbol, Any}, Bool, Symbol})
+    precompile(Tuple{typeof(Plots.processGridArg!), Base.Dict{Symbol, Any}, Float64, Symbol})
+    precompile(Tuple{typeof(Plots.processGridArg!), Base.Dict{Symbol, Any}, Int64, Symbol})
+    precompile(Tuple{typeof(Plots.processGridArg!), Base.Dict{Symbol, Any}, Symbol, Symbol})
+    precompile(Tuple{typeof(Plots.processGridArg!), Plots.Attr, Bool, Symbol})
+    precompile(Tuple{typeof(Plots.processLineArg), Base.Dict{Symbol, Any}, Array{Symbol, 2}})
+    precompile(Tuple{typeof(Plots.processLineArg), Base.Dict{Symbol, Any}, Array{Symbol, 2}})
+    precompile(Tuple{typeof(Plots.processLineArg), Base.Dict{Symbol, Any}, Float64})
+    precompile(Tuple{typeof(Plots.processLineArg), Base.Dict{Symbol, Any}, Int64})
+    precompile(Tuple{typeof(Plots.processLineArg), Base.Dict{Symbol, Any}, Symbol})
+    precompile(Tuple{typeof(Plots.processLineArg), Base.Dict{Symbol, Any}, Symbol})
+    precompile(Tuple{typeof(Plots.processMarkerArg), Base.Dict{Symbol, Any}, Array{Symbol, 2}})
+    precompile(Tuple{typeof(Plots.processMarkerArg), Base.Dict{Symbol, Any}, Array{Symbol, 2}})
+    precompile(Tuple{typeof(Plots.processMarkerArg), Base.Dict{Symbol, Any}, Bool})
+    precompile(Tuple{typeof(Plots.processMarkerArg), Base.Dict{Symbol, Any}, ColorTypes.RGBA{Float64}})
+    precompile(Tuple{typeof(Plots.processMarkerArg), Base.Dict{Symbol, Any}, Float64})
+    precompile(Tuple{typeof(Plots.processMarkerArg), Base.Dict{Symbol, Any}, Float64})
+    precompile(Tuple{typeof(Plots.processMarkerArg), Base.Dict{Symbol, Any}, Int64})
+    precompile(Tuple{typeof(Plots.processMarkerArg), Base.Dict{Symbol, Any}, Int64})
+    precompile(Tuple{typeof(Plots.processMarkerArg), Base.Dict{Symbol, Any}, Plots.Shape})
+    precompile(Tuple{typeof(Plots.processMarkerArg), Base.Dict{Symbol, Any}, Plots.Stroke})
+    precompile(Tuple{typeof(Plots.processMarkerArg), Base.Dict{Symbol, Any}, Symbol})
+    precompile(Tuple{typeof(Plots.processMarkerArg), Base.Dict{Symbol, Any}, Symbol})
+    precompile(Tuple{typeof(Plots.process_annotation), Plots.Subplot{Plots.GRBackend}, Int64, Float64, Plots.PlotText, Plots.Font})
+    precompile(Tuple{typeof(Plots.process_annotation), Plots.Subplot{Plots.GRBackend}, Int64, Float64, Plots.PlotText})
+    precompile(Tuple{typeof(Plots.process_axis_arg!), Base.Dict{Symbol, Any}, Base.StepRange{Int64, Int64}, Symbol})
+    precompile(Tuple{typeof(Plots.process_axis_arg!), Base.Dict{Symbol, Any}, String, Symbol})
+    precompile(Tuple{typeof(Plots.process_axis_arg!), Base.Dict{Symbol, Any}, Symbol, Symbol})
+    precompile(Tuple{typeof(Plots.process_axis_arg!), Base.Dict{Symbol, Any}, Tuple{Int64, Int64}, Symbol})
+    precompile(Tuple{typeof(Plots.process_fillrange), Int64, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.process_fillrange), Nothing, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.process_ribbon), Base.StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.process_ribbon), Int64, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.process_ribbon), Nothing, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.process_ribbon), Tuple{Base.LinRange{Float64}, Base.LinRange{Float64}}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.process_ribbon), typeof(identity), Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.recompute_lengths), Array{Measures.Measure, 1}})
+    precompile(Tuple{typeof(Plots.replaceAlias!), Base.Dict{Symbol, Any}, Symbol, Base.Dict{Symbol, Symbol}})
+    precompile(Tuple{typeof(Plots.replaceAlias!), Plots.Attr, Symbol, Base.Dict{Symbol, Symbol}})
+    precompile(Tuple{typeof(Plots.replaceAliases!), Base.Dict{Symbol, Any}, Base.Dict{Symbol, Symbol}})
+    precompile(Tuple{typeof(Plots.replaceAliases!), Plots.Attr, Base.Dict{Symbol, Symbol}})
+    precompile(Tuple{typeof(Plots.reset_axis_defaults_byletter!)})
+    precompile(Tuple{typeof(Plots.reset_extrema!), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.right), Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}}})
+    precompile(Tuple{typeof(Plots.rightpad), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.rowsize), Expr})
+    precompile(Tuple{typeof(Plots.rowsize), Symbol})
+    precompile(Tuple{typeof(Plots.series_annotations), Array{Any, 1}})
+    precompile(Tuple{typeof(Plots.series_annotations), Plots.SeriesAnnotations})
+    precompile(Tuple{typeof(Plots.series_annotations_shapes!), Plots.Series, Symbol})
+    precompile(Tuple{typeof(Plots.series_idx), Array{Base.Dict{Symbol, Any}, 1}, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.setxy!), Plots.Plot{Plots.GRBackend}, Tuple{Array{Float64, 1}, Array{Float64, 1}}, Int64})
+    precompile(Tuple{typeof(Plots.shape_data), Plots.Series, Int64})
+    precompile(Tuple{typeof(Plots.should_add_to_legend), Plots.Series})
+    precompile(Tuple{typeof(Plots.showaxis), Symbol, Symbol})
+    precompile(Tuple{typeof(Plots.slice_arg!), Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Symbol, Int64, Bool})
+    precompile(Tuple{typeof(Plots.slice_arg!), Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Symbol, Int64, Bool})
+    precompile(Tuple{typeof(Plots.slice_arg!), Base.Dict{Symbol, Any}, Plots.Attr, Symbol, Int64, Bool})
+    precompile(Tuple{typeof(Plots.slice_arg!), Base.Dict{Symbol, Any}, Plots.Attr, Symbol, Int64, Bool})
+    precompile(Tuple{typeof(Plots.slice_arg!), Plots.Attr, Plots.Attr, Symbol, Int64, Bool})
+    precompile(Tuple{typeof(Plots.slice_arg!), Plots.Attr, Plots.Attr, Symbol, Int64, Bool})
+    precompile(Tuple{typeof(Plots.slice_arg), Array{ColorTypes.RGBA{Float64}, 2}, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Array{Measures.Length{:mm, Float64}, 2}, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Array{String, 2}, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Array{Symbol, 2}, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Base.ReshapedArray{Int64, 2, Base.UnitRange{Int64}, Tuple{}}, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Base.StepRange{Int64, Int64}, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Base.UnitRange{Int64}, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Bool, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), ColorTypes.RGBA{Float64}, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Float64, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Int64, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Nothing, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), String, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Symbol, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Tuple{Int64, Float64}, Int64})
+    precompile(Tuple{typeof(Plots.slice_arg), Tuple{Int64, Int64}, Int64})
+    precompile(Tuple{typeof(Plots.splittable_kw), Symbol, Array{Int64, 1}, Int64})
+    precompile(Tuple{typeof(Plots.splittable_kw), Symbol, Array{String, 1}, Int64})
+    precompile(Tuple{typeof(Plots.splittable_kw), Symbol, Array{Symbol, 2}, Int64})
+    precompile(Tuple{typeof(Plots.splittable_kw), Symbol, ColorTypes.RGB{Float64}, Int64})
+    precompile(Tuple{typeof(Plots.splittable_kw), Symbol, Float64, Int64})
+    precompile(Tuple{typeof(Plots.splittable_kw), Symbol, Int64, Int64})
+    precompile(Tuple{typeof(Plots.splittable_kw), Symbol, Plots.GridLayout, Int64})
+    precompile(Tuple{typeof(Plots.splittable_kw), Symbol, Plots.Plot{Plots.GRBackend}, Int64})
+    precompile(Tuple{typeof(Plots.splittable_kw), Symbol, String, Int64})
+    precompile(Tuple{typeof(Plots.splittable_kw), Symbol, Symbol, Int64})
+    precompile(Tuple{typeof(Plots.straightline_data), Plots.Series, Int64})
+    precompile(Tuple{typeof(Plots.straightline_data), Tuple{Int64, Int64}, Tuple{Float64, Float64}, Array{Float64, 1}, Array{Float64, 1}, Int64})
+    precompile(Tuple{typeof(Plots.stroke), Int64, Int64})
+    precompile(Tuple{typeof(Plots.stroke), Int64, Int})
+    precompile(Tuple{typeof(Plots.supported_markers), Plots.GRBackend})
+    precompile(Tuple{typeof(Plots.supported_markers)})
+    precompile(Tuple{typeof(Plots.supported_styles), Plots.GRBackend})
+    precompile(Tuple{typeof(Plots.supported_styles)})
+    precompile(Tuple{typeof(Plots.text), String, Int64, Symbol, Symbol})
+    precompile(Tuple{typeof(Plots.text), String, Symbol, Int64, Int})
+    precompile(Tuple{typeof(Plots.text), String, Symbol})
+    precompile(Tuple{typeof(Plots.tickfont), Plots.Axis})
+    precompile(Tuple{typeof(Plots.tickfont), Plots.Axis})
+    precompile(Tuple{typeof(Plots.title!), String})
+    precompile(Tuple{typeof(Plots.titlefont), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.titlefont), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.toppad), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.tovec), Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.transpose_z), Plots.Series, Array{Float64, 2}, Bool})
+    precompile(Tuple{typeof(Plots.trueOrAllTrue), typeof(Plots.is3d), Symbol})
+    precompile(Tuple{typeof(Plots.trueOrAllTrue), typeof(identity), Array{Symbol, 2}})
+    precompile(Tuple{typeof(Plots.unzip), Array{Tuple{Float64, Float64, Float64}, 1}})
+    precompile(Tuple{typeof(Plots.update_child_bboxes!), Plots.GridLayout, Array{Measures.Length{:mm, Float64}, 1}})
+    precompile(Tuple{typeof(Plots.update_child_bboxes!), Plots.GridLayout, Array{Measures.Length{:mm, Float64}, 1}})
+    precompile(Tuple{typeof(Plots.update_child_bboxes!), Plots.GridLayout})
+    precompile(Tuple{typeof(Plots.update_child_bboxes!), Plots.GridLayout})
+    precompile(Tuple{typeof(Plots.update_child_bboxes!), Plots.Subplot{Plots.GRBackend}, Array{Measures.Length{:mm, Float64}, 1}})
+    precompile(Tuple{typeof(Plots.update_inset_bboxes!), Plots.Plot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.update_inset_bboxes!), Plots.Plot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.vline!), Array{Int64, 1}})
+    precompile(Tuple{typeof(Plots.wand_edges), Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.warnOnUnsupported), Plots.GRBackend, Plots.Attr})
+    precompile(Tuple{typeof(Plots.warnOnUnsupported), Plots.GRBackend, Plots.Attr})
+    precompile(Tuple{typeof(Plots.warnOnUnsupported_args), Plots.GRBackend, Plots.Attr})
+    precompile(Tuple{typeof(Plots.warnOnUnsupported_args), Plots.GRBackend, Plots.Attr})
+    precompile(Tuple{typeof(Plots.warnOnUnsupported_scales), Plots.GRBackend, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.warnOnUnsupported_scales), Plots.GRBackend, Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.widen), Float64, Float64, Symbol})
+    precompile(Tuple{typeof(Plots.wrap_surfaces), Base.Dict{Symbol, Any}})
+    precompile(Tuple{typeof(Plots.wraptuple), Array{Any, 1}})
+    precompile(Tuple{typeof(Plots.wraptuple), Array{Float64, 1}})
+    precompile(Tuple{typeof(Plots.wraptuple), Bool})
+    precompile(Tuple{typeof(Plots.wraptuple), Float64})
+    precompile(Tuple{typeof(Plots.wraptuple), Int64})
+    precompile(Tuple{typeof(Plots.wraptuple), Nothing})
+    precompile(Tuple{typeof(Plots.wraptuple), Plots.SeriesAnnotations})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Array{Float64, 1}, Array{Float64, 1}}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Array{Symbol, 2}, Int64, Float64, Plots.Stroke}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Array{Symbol, 2}, Int64}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Float64, Array{Symbol, 2}, Int64}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Float64, Symbol}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Int64, Array{Symbol, 2}}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Int64, Float64, Symbol, Plots.Stroke}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Int64, Float64, Symbol}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Int64, Symbol, Float64, Array{Symbol, 2}}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Int64, Symbol, Symbol}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Int64, Symbol}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Plots.Shape, Int64, ColorTypes.RGBA{Float64}}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{String, Symbol}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{String, Tuple{Int64, Int64}, Base.StepRange{Int64, Int64}, Symbol}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Symbol, Float64, Plots.Stroke}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Symbol, Int64}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{Symbol, Symbol, Symbol, Int64, Float64}})
+    precompile(Tuple{typeof(Plots.wraptuple), Tuple{}})
+    precompile(Tuple{typeof(Plots.xlims), Plots.Subplot{Plots.GRBackend}})
+    precompile(Tuple{typeof(Plots.yaxis!), String, Symbol})
+    precompile(Tuple{typeof(Plots.ylims), Plots.Subplot{Plots.GRBackend}})
 end

src/recipes.jl

@@ -44,10 +44,10 @@ end
 
 # ----------------------------------------------------------------------------------
 
-num_series(x::AMat) = size(x,2)
+num_series(x::AMat) = size(x, 2)
 num_series(x) = 1
 
-RecipesBase.apply_recipe(plotattributes::KW, ::Type{T}, plt::AbstractPlot) where {T} = throw(MethodError(T, "Unmatched plot recipe: $T"))
+RecipesBase.apply_recipe(plotattributes::AKW, ::Type{T}, plt::AbstractPlot) where {T} = throw(MethodError(T, "Unmatched plot recipe: $T"))
 
 # ---------------------------------------------------------------------------
 
@@ -55,13 +55,26 @@ RecipesBase.apply_recipe(plotattributes::KW, ::Type{T}, plt::AbstractPlot) where
 # for seriestype `line`, need to sort by x values
 
 const POTENTIAL_VECTOR_ARGUMENTS = [
-    :seriescolor, :seriesalpha,
-    :linecolor, :linealpha, :linewidth, :linestyle, :line_z,
-    :fillcolor, :fillalpha, :fill_z,
-    :markercolor, :markeralpha, :markershape, :marker_z,
-    :markerstrokecolor, :markerstrokealpha,
-    :yerror, :yerror,
-    :series_annotations, :fillrange
+    :seriescolor,
+    :seriesalpha,
+    :linecolor,
+    :linealpha,
+    :linewidth,
+    :linestyle,
+    :line_z,
+    :fillcolor,
+    :fillalpha,
+    :fill_z,
+    :markercolor,
+    :markeralpha,
+    :markershape,
+    :marker_z,
+    :markerstrokecolor,
+    :markerstrokealpha,
+    :yerror,
+    :yerror,
+    :series_annotations,
+    :fillrange,
 ]
 
 @recipe function f(::Type{Val{:line}}, x, y, z)
@@ -99,7 +112,7 @@ end
 @recipe function f(::Type{Val{:hline}}, x, y, z)
     n = length(y)
     newx = repeat(Float64[-1, 1, NaN], n)
-    newy = vec(Float64[yi for i=1:3,yi=y])
+    newy = vec(Float64[yi for i = 1:3, yi in y])
     x := newx
     y := newy
     seriestype := :straightline
@@ -109,7 +122,7 @@ end
 
 @recipe function f(::Type{Val{:vline}}, x, y, z)
     n = length(y)
-    newx = vec(Float64[yi for i=1:3,yi=y])
+    newx = vec(Float64[yi for i = 1:3, yi in y])
     newy = repeat(Float64[-1, 1, NaN], n)
     x := newx
     y := newy
@@ -121,7 +134,7 @@ end
 @recipe function f(::Type{Val{:hspan}}, x, y, z)
     n = div(length(y), 2)
     newx = repeat([-Inf, Inf, Inf, -Inf, NaN], outer = n)
-    newy = vcat([[y[2i-1], y[2i-1], y[2i], y[2i], NaN] for i in 1:n]...)
+    newy = vcat([[y[2i - 1], y[2i - 1], y[2i], y[2i], NaN] for i = 1:n]...)
     linewidth --> 0
     x := newx
     y := newy
@@ -132,7 +145,7 @@ end
 
 @recipe function f(::Type{Val{:vspan}}, x, y, z)
     n = div(length(y), 2)
-    newx = vcat([[y[2i-1], y[2i-1], y[2i], y[2i], NaN] for i in 1:n]...)
+    newx = vcat([[y[2i - 1], y[2i - 1], y[2i], y[2i], NaN] for i = 1:n]...)
     newy = repeat([-Inf, Inf, Inf, -Inf, NaN], outer = n)
     linewidth --> 0
     x := newx
@@ -156,7 +169,7 @@ end
         primary := false
         ()
     end
-()
+    ()
 end
 @deps scatterpath path scatter
 
@@ -169,7 +182,7 @@ function make_steps(x::AbstractArray, st)
     n = length(x)
     n == 0 && return zeros(0)
     newx = zeros(2n - 1)
-    for i in 1:n
+    for i = 1:n
         idx = 2i - 1
         newx[idx] = x[i]
         if i > 1
@@ -249,10 +262,10 @@ end
         end
     end
     newx, newy = zeros(3n), zeros(3n)
-    for i=1:n
-        rng = 3i-2:3i
+    for i = 1:n
+        rng = (3i - 2):(3i)
         newx[rng] = [x[i], x[i], NaN]
-        newy[rng] = [_cycle(fr,i), y[i], NaN]
+        newy[rng] = [_cycle(fr, i), y[i], NaN]
     end
     x := newx
     y := newy
@@ -282,16 +295,16 @@ end
 # get the value of the curve point at position t
 function bezier_value(pts::AVec, t::Real)
     val = 0.0
-    n = length(pts)-1
-    for (i,p) in enumerate(pts)
-        val += p * binomial(n, i-1) * (1-t)^(n-i+1) * t^(i-1)
+    n = length(pts) - 1
+    for (i, p) in enumerate(pts)
+        val += p * binomial(n, i - 1) * (1 - t)^(n - i + 1) * t^(i - 1)
     end
     val
 end
 
 # create segmented bezier curves in place of line segments
 @recipe function f(::Type{Val{:curves}}, x, y, z; npoints = 30)
-    args = z !== nothing ? (x,y,z) : (x,y)
+    args = z !== nothing ? (x, y, z) : (x, y)
     newx, newy = zeros(0), zeros(0)
     fr = plotattributes[:fillrange]
     newfr = fr !== nothing ? zeros(0) : nothing
@@ -304,13 +317,13 @@ end
     for rng in iter_segments(args...)
         length(rng) < 2 && continue
         ts = range(0, stop = 1, length = npoints)
-        nanappend!(newx, map(t -> bezier_value(_cycle(x,rng), t), ts))
-        nanappend!(newy, map(t -> bezier_value(_cycle(y,rng), t), ts))
+        nanappend!(newx, map(t -> bezier_value(_cycle(x, rng), t), ts))
+        nanappend!(newy, map(t -> bezier_value(_cycle(y, rng), t), ts))
         if z !== nothing
-            nanappend!(newz, map(t -> bezier_value(_cycle(z,rng), t), ts))
+            nanappend!(newz, map(t -> bezier_value(_cycle(z, rng), t), ts))
         end
         if fr !== nothing
-            nanappend!(newfr, map(t -> bezier_value(_cycle(fr,rng), t), ts))
+            nanappend!(newfr, map(t -> bezier_value(_cycle(fr, rng), t), ts))
         end
         # if lz !== nothing
         #     lzrng = _cycle(lz, rng) # the line_z's for this segment
@@ -343,14 +356,15 @@ end
 
 # create a bar plot as a filled step function
 @recipe function f(::Type{Val{:bar}}, x, y, z)
-    procx, procy, xscale, yscale, baseline = _preprocess_barlike(plotattributes, x, y)
+    procx, procy, xscale, yscale, baseline =
+        _preprocess_barlike(plotattributes, x, y)
     nx, ny = length(procx), length(procy)
     axis = plotattributes[:subplot][isvertical(plotattributes) ? :xaxis : :yaxis]
-    cv = [discrete_value!(axis, xi)[1] for xi=procx]
+    cv = [discrete_value!(axis, xi)[1] for xi in procx]
     procx = if nx == ny
         cv
     elseif nx == ny + 1
-        0.5diff(cv) + cv[1:end-1]
+        0.5 * diff(cv) + cv[1:(end - 1)]
     else
         error("bar recipe: x must be same length as y (centers), or one more than y (edges).\n\t\tlength(x)=$(length(x)), length(y)=$(length(y))")
     end
@@ -359,12 +373,12 @@ end
     bw = plotattributes[:bar_width]
     hw = if bw === nothing
         if nx > 1
-            0.5*_bar_width*ignorenan_minimum(filter(x->x>0, diff(procx)))
+            0.5 * _bar_width * ignorenan_minimum(filter(x -> x > 0, diff(procx)))
         else
             0.5 * _bar_width
         end
     else
-        Float64[0.5_cycle(bw,i) for i=1:length(procx)]
+        Float64[0.5 * _cycle(bw, i) for i in eachindex(procx)]
     end
 
     # make fillto a vector... default fills to 0
@@ -378,13 +392,20 @@ end
 
     # create the bar shapes by adding x/y segments
     xseg, yseg = Segments(), Segments()
-    for i=1:ny
+    for i = 1:ny
         yi = procy[i]
         if !isnan(yi)
             center = procx[i]
-            hwi = _cycle(hw,i)
-            fi = _cycle(fillto,i)
-            push!(xseg, center-hwi, center-hwi, center+hwi, center+hwi, center-hwi)
+            hwi = _cycle(hw, i)
+            fi = _cycle(fillto, i)
+            push!(
+                xseg,
+                center - hwi,
+                center - hwi,
+                center + hwi,
+                center + hwi,
+                center - hwi,
+            )
             push!(yseg, yi, fi, fi, yi, yi)
         end
     end
@@ -415,8 +436,8 @@ end
     m, n = size(z.surf)
     x_pts, y_pts = fill(NaN, 6 * m * n), fill(NaN, 6 * m * n)
     fz = zeros(m * n)
-    for i in 1:m # y
-        for j in 1:n # x
+    for i = 1:m # y
+        for j = 1:n # x
             k = (j - 1) * m + i
             inds = (6 * (k - 1) + 1):(6 * k - 1)
             x_pts[inds] .= [xe[j], xe[j + 1], xe[j + 1], xe[j], xe[j]]
@@ -440,13 +461,17 @@ end
 # ---------------------------------------------------------------------------
 # Histograms
 
-_bin_centers(v::AVec) = (v[1:end-1] + v[2:end]) / 2
+_bin_centers(v::AVec) = (v[1:(end - 1)] + v[2:end]) / 2
 
 _is_positive(x) = (x > 0) && !(x ≈ 0)
 
 _positive_else_nan(::Type{T}, x::Real) where {T} = _is_positive(x) ? T(x) : T(NaN)
 
-function _scale_adjusted_values(::Type{T}, V::AbstractVector, scale::Symbol) where T<:AbstractFloat
+function _scale_adjusted_values(
+    ::Type{T},
+    V::AbstractVector,
+    scale::Symbol,
+) where {T<:AbstractFloat}
     if scale in _logScales
         [_positive_else_nan(T, x) for x in V]
     else
@@ -455,7 +480,7 @@ function _scale_adjusted_values(::Type{T}, V::AbstractVector, scale::Symbol) whe
 end
 
 
-function _binbarlike_baseline(min_value::T, scale::Symbol) where T<:Real
+function _binbarlike_baseline(min_value::T, scale::Symbol) where {T<:Real}
     if (scale in _logScales)
         !isnan(min_value) ? min_value / T(_logScaleBases[scale]^log10(2)) : T(1E-3)
     else
@@ -464,7 +489,11 @@ function _binbarlike_baseline(min_value::T, scale::Symbol) where T<:Real
 end
 
 
-function _preprocess_binbarlike_weights(::Type{T}, w, wscale::Symbol) where T<:AbstractFloat
+function _preprocess_binbarlike_weights(
+    ::Type{T},
+    w,
+    wscale::Symbol,
+) where {T<:AbstractFloat}
     w_adj = _scale_adjusted_values(T, w, wscale)
     w_min = ignorenan_minimum(w_adj)
     w_max = ignorenan_maximum(w_adj)
@@ -490,7 +519,8 @@ end
 
 
 @recipe function f(::Type{Val{:barbins}}, x, y, z)
-    edge, weights, xscale, yscale, baseline = _preprocess_binlike(plotattributes, x, y)
+    edge, weights, xscale, yscale, baseline =
+        _preprocess_binlike(plotattributes, x, y)
     if (plotattributes[:bar_width] === nothing)
         bar_width := diff(edge)
     end
@@ -503,8 +533,9 @@ end
 
 
 @recipe function f(::Type{Val{:scatterbins}}, x, y, z)
-    edge, weights, xscale, yscale, baseline = _preprocess_binlike(plotattributes, x, y)
-    xerror := diff(edge)/2
+    edge, weights, xscale, yscale, baseline =
+        _preprocess_binlike(plotattributes, x, y)
+    xerror := diff(edge) / 2
     x := _bin_centers(edge)
     y := weights
     seriestype := :scatter
@@ -513,7 +544,13 @@ end
 @deps scatterbins scatter
 
 
-function _stepbins_path(edge, weights, baseline::Real, xscale::Symbol, yscale::Symbol)
+function _stepbins_path(
+    edge,
+    weights,
+    baseline::Real,
+    xscale::Symbol,
+    yscale::Symbol,
+)
     log_scale_x = xscale in _logScales
     log_scale_y = yscale in _logScales
 
@@ -538,7 +575,7 @@ function _stepbins_path(edge, weights, baseline::Real, xscale::Symbol, yscale::S
         w, it_state_w = it_tuple_w
 
         if (log_scale_x && a ≈ 0)
-            a = oftype(a, b/_logScaleBases[xscale]^3)
+            a = oftype(a, b / _logScaleBases[xscale]^3)
         end
 
         if isnan(w)
@@ -575,9 +612,11 @@ end
 
 
 @recipe function f(::Type{Val{:stepbins}}, x, y, z)
-    axis = plotattributes[:subplot][Plots.isvertical(plotattributes) ? :xaxis : :yaxis]
+    axis =
+        plotattributes[:subplot][Plots.isvertical(plotattributes) ? :xaxis : :yaxis]
 
-    edge, weights, xscale, yscale, baseline = _preprocess_binlike(plotattributes, x, y)
+    edge, weights, xscale, yscale, baseline =
+        _preprocess_binlike(plotattributes, x, y)
 
     xpts, ypts = _stepbins_path(edge, weights, baseline, xscale, yscale)
     if !isvertical(plotattributes)
@@ -607,9 +646,19 @@ end
 end
 Plots.@deps stepbins path
 
-wand_edges(x...) = (@warn("Load the StatsPlots package in order to use :wand bins. Defaulting to :auto", once = true); :auto)
+wand_edges(x...) = (
+    @warn(
+        "Load the StatsPlots package in order to use :wand bins. Defaulting to :auto",
+        once = true
+    );
+    :auto
+)
 
-function _auto_binning_nbins(vs::NTuple{N,AbstractVector}, dim::Integer; mode::Symbol = :auto) where N
+function _auto_binning_nbins(
+    vs::NTuple{N,AbstractVector},
+    dim::Integer;
+    mode::Symbol = :auto,
+) where {N}
     max_bins = 10_000
     _cl(x) = min(ceil(Int, max(x, one(x))), max_bins)
     _iqr(v) = (q = quantile(v, 0.75) - quantile(v, 0.25); q > 0 ? q : oftype(q, 1))
@@ -618,8 +667,13 @@ function _auto_binning_nbins(vs::NTuple{N,AbstractVector}, dim::Integer; mode::S
     n_samples = length(LinearIndices(first(vs)))
 
     # The nd estimator is the key to most automatic binning methods, and is modified for twodimensional histograms to include correlation
-    nd = n_samples^(1/(2+N))
-    nd = N == 2 ? min(n_samples^(1/(2+N)), nd / (1-cor(first(vs), last(vs))^2)^(3//8)) : nd # the >2-dimensional case does not have a nice solution to correlations
+    nd = n_samples^(1 / (2 + N))
+    nd = N == 2 ?
+        min(
+        n_samples^(1 / (2 + N)),
+        nd / (1 - cor(first(vs), last(vs))^2)^(3 // 8),
+    ) :
+        nd # the >2-dimensional case does not have a nice solution to correlations
 
     v = vs[dim]
 
@@ -644,32 +698,52 @@ function _auto_binning_nbins(vs::NTuple{N,AbstractVector}, dim::Integer; mode::S
     end
 end
 
-_hist_edge(vs::NTuple{N,AbstractVector}, dim::Integer, binning::Integer) where {N} = StatsBase.histrange(vs[dim], binning, :left)
-_hist_edge(vs::NTuple{N,AbstractVector}, dim::Integer, binning::Symbol) where {N} = _hist_edge(vs, dim, _auto_binning_nbins(vs, dim, mode = binning))
-_hist_edge(vs::NTuple{N,AbstractVector}, dim::Integer, binning::AbstractVector) where {N} = binning
+_hist_edge(vs::NTuple{N,AbstractVector}, dim::Integer, binning::Integer) where {N} =
+    StatsBase.histrange(vs[dim], binning, :left)
+_hist_edge(vs::NTuple{N,AbstractVector}, dim::Integer, binning::Symbol) where {N} =
+    _hist_edge(vs, dim, _auto_binning_nbins(vs, dim, mode = binning))
+_hist_edge(
+    vs::NTuple{N,AbstractVector},
+    dim::Integer,
+    binning::AbstractVector,
+) where {N} = binning
 
-_hist_edges(vs::NTuple{N,AbstractVector}, binning::NTuple{N, Any}) where {N} =
+_hist_edges(vs::NTuple{N,AbstractVector}, binning::NTuple{N,Any}) where {N} =
     map(dim -> _hist_edge(vs, dim, binning[dim]), (1:N...,))
 
-_hist_edges(vs::NTuple{N,AbstractVector}, binning::Union{Integer, Symbol, AbstractVector}) where {N} =
-    map(dim -> _hist_edge(vs, dim, binning), (1:N...,))
+_hist_edges(
+    vs::NTuple{N,AbstractVector},
+    binning::Union{Integer,Symbol,AbstractVector},
+) where {N} = map(dim -> _hist_edge(vs, dim, binning), (1:N...,))
 
 _hist_norm_mode(mode::Symbol) = mode
 _hist_norm_mode(mode::Bool) = mode ? :pdf : :none
 
 _filternans(vs::NTuple{1,AbstractVector}) = filter!.(isfinite, vs)
-function _filternans(vs::NTuple{N,AbstractVector}) where N
-    _invertedindex(v, not) = [j for (i,j) in enumerate(v) if !(i ∈ not)]
+function _filternans(vs::NTuple{N,AbstractVector}) where {N}
+    _invertedindex(v, not) = [j for (i, j) in enumerate(v) if !(i ∈ not)]
     nots = union(Set.(findall.(!isfinite, vs))...)
     _invertedindex.(vs, Ref(nots))
 end
 
-function _make_hist(vs::NTuple{N,AbstractVector}, binning; normed = false, weights = nothing) where N
+function _make_hist(
+    vs::NTuple{N,AbstractVector},
+    binning;
+    normed = false,
+    weights = nothing,
+) where {N}
     localvs = _filternans(vs)
     edges = _hist_edges(localvs, binning)
-    h = float( weights === nothing ?
-        StatsBase.fit(StatsBase.Histogram, localvs, edges, closed = :left) :
-        StatsBase.fit(StatsBase.Histogram, localvs, StatsBase.Weights(weights), edges, closed = :left)
+    h = float(
+        weights === nothing ?
+            StatsBase.fit(StatsBase.Histogram, localvs, edges, closed = :left) :
+            StatsBase.fit(
+            StatsBase.Histogram,
+            localvs,
+            StatsBase.Weights(weights),
+            edges,
+            closed = :left,
+        ),
     )
     normalize!(h, mode = _hist_norm_mode(normed))
 end
@@ -682,7 +756,12 @@ end
 @deps histogram barhist
 
 @recipe function f(::Type{Val{:barhist}}, x, y, z)
-    h = _make_hist((y,), plotattributes[:bins], normed = plotattributes[:normalize], weights = plotattributes[:weights])
+    h = _make_hist(
+        (y,),
+        plotattributes[:bins],
+        normed = plotattributes[:normalize],
+        weights = plotattributes[:weights],
+    )
     x := h.edges[1]
     y := h.weights
     seriestype := :barbins
@@ -691,7 +770,12 @@ end
 @deps barhist barbins
 
 @recipe function f(::Type{Val{:stephist}}, x, y, z)
-    h = _make_hist((y,), plotattributes[:bins], normed = plotattributes[:normalize], weights = plotattributes[:weights])
+    h = _make_hist(
+        (y,),
+        plotattributes[:bins],
+        normed = plotattributes[:normalize],
+        weights = plotattributes[:weights],
+    )
     x := h.edges[1]
     y := h.weights
     seriestype := :stepbins
@@ -700,7 +784,12 @@ end
 @deps stephist stepbins
 
 @recipe function f(::Type{Val{:scatterhist}}, x, y, z)
-    h = _make_hist((y,), plotattributes[:bins], normed = plotattributes[:normalize], weights = plotattributes[:weights])
+    h = _make_hist(
+        (y,),
+        plotattributes[:bins],
+        normed = plotattributes[:normalize],
+        weights = plotattributes[:weights],
+    )
     x := h.edges[1]
     y := h.weights
     seriestype := :scatterbins
@@ -709,19 +798,23 @@ end
 @deps scatterhist scatterbins
 
 
-@recipe function f(h::StatsBase.Histogram{T, 1, E}) where {T, E}
+@recipe function f(h::StatsBase.Histogram{T,1,E}) where {T,E}
     seriestype --> :barbins
 
     st_map = Dict(
-        :bar => :barbins, :scatter => :scatterbins, :step => :stepbins,
-        :steppost => :stepbins # :step can be mapped to :steppost in pre-processing
+        :bar => :barbins,
+        :scatter => :scatterbins,
+        :step => :stepbins,
+        :steppost => :stepbins, # :step can be mapped to :steppost in pre-processing
     )
-    seriestype := get(st_map, plotattributes[:seriestype], plotattributes[:seriestype])
+    seriestype :=
+        get(st_map, plotattributes[:seriestype], plotattributes[:seriestype])
 
     if plotattributes[:seriestype] == :scatterbins
         # Workaround, error bars currently not set correctly by scatterbins
-        edge, weights, xscale, yscale, baseline = _preprocess_binlike(plotattributes, h.edges[1], h.weights)
-        xerror --> diff(h.edges[1])/2
+        edge, weights, xscale, yscale, baseline =
+            _preprocess_binlike(plotattributes, h.edges[1], h.weights)
+        xerror --> diff(h.edges[1]) / 2
         seriestype := :scatter
         (Plots._bin_centers(edge), weights)
     else
@@ -730,7 +823,7 @@ end
 end
 
 
-@recipe function f(hv::AbstractVector{H}) where H <: StatsBase.Histogram
+@recipe function f(hv::AbstractVector{H}) where {H<:StatsBase.Histogram}
     for h in hv
         @series begin
             h
@@ -746,12 +839,14 @@ end
     edge_x, edge_y, weights = x, y, z.surf
 
     float_weights = float(weights)
-    if float_weights === weights
-        float_weights = deepcopy(float_weights)
-    end
-    for (i, c) in enumerate(float_weights)
-        if c == 0
-            float_weights[i] = NaN
+    if !plotattributes[:show_empty_bins]
+        if float_weights === weights
+            float_weights = deepcopy(float_weights)
+        end
+        for (i, c) in enumerate(float_weights)
+            if c == 0
+                float_weights[i] = NaN
+            end
         end
     end
 
@@ -767,7 +862,12 @@ Plots.@deps bins2d heatmap
 
 
 @recipe function f(::Type{Val{:histogram2d}}, x, y, z)
-    h = _make_hist((x, y), plotattributes[:bins], normed = plotattributes[:normalize], weights = plotattributes[:weights])
+    h = _make_hist(
+        (x, y),
+        plotattributes[:bins],
+        normed = plotattributes[:normalize],
+        weights = plotattributes[:weights],
+    )
     x := h.edges[1]
     y := h.edges[2]
     z := Surface(h.weights)
@@ -777,7 +877,7 @@ end
 @deps histogram2d bins2d
 
 
-@recipe function f(h::StatsBase.Histogram{T, 2, E}) where {T, E}
+@recipe function f(h::StatsBase.Histogram{T,2,E}) where {T,E}
     seriestype --> :bins2d
     (h.edges[1], h.edges[2], Surface(h.weights))
 end
@@ -799,6 +899,91 @@ end
 # note: don't add dependencies because this really isn't a drop-in replacement
 
 
+# ---------------------------------------------------------------------------
+# lens! - magnify a region of a plot
+lens!(args...;kwargs...) = plot!(args...; seriestype=:lens, kwargs...)
+export lens!
+@recipe function f(::Type{Val{:lens}}, plt::AbstractPlot)
+    sp_index, inset_bbox = plotattributes[:inset_subplots]
+    if !(width(inset_bbox) isa Measures.Length{:w,<:Real})
+        throw(ArgumentError("Inset bounding box needs to in relative coordinates."))
+    end
+    sp = plt.subplots[sp_index]
+    xl1, xl2 = xlims(plt.subplots[sp_index])
+    bbx1 = xl1 + left(inset_bbox).value * (xl2 - xl1)
+    bbx2 = bbx1 + width(inset_bbox).value * (xl2 - xl1)
+    yl1, yl2 = ylims(plt.subplots[sp_index])
+    bby1 = yl1 + (1 - bottom(inset_bbox).value) * (yl2 - yl1)
+    bby2 = bby1 + height(inset_bbox).value * (yl2 - yl1)
+    bbx = bbx1 + width(inset_bbox).value * (xl2 - xl1) / 2
+    bby = bby1 + height(inset_bbox).value * (yl2 - yl1) / 2
+    lens_index = last(plt.subplots)[:subplot_index] + 1
+    x1, x2 = plotattributes[:x]
+    y1, y2 = plotattributes[:y]
+    seriestype := :path
+    label := ""
+    linecolor := :lightgray
+    bbx_mag = (x1 + x2) / 2
+    bby_mag = (y1 + y2) / 2
+    xi_lens, yi_lens = intersection_point(bbx_mag, bby_mag, bbx, bby, abs(bby2 - bby1), abs(bbx2 - bbx1))
+    xi_mag, yi_mag = intersection_point(bbx, bby, bbx_mag, bby_mag, abs(y2 - y1), abs(x2 - x1))
+    # add lines
+    if xl1 < xi_lens < xl2 &&
+        yl1 < yi_lens < yl2
+        @series begin
+            subplot := sp_index
+            x := [xi_mag, xi_lens]
+            y := [yi_mag, yi_lens]
+            ()
+        end
+    end
+    # add magnification shape
+    @series begin
+        subplot := sp_index
+        x := [x1, x1, x2, x2, x1]
+        y := [y1, y2, y2, y1, y1]
+        ()
+    end
+    # add subplot
+    for series in sp.series_list
+        @series begin
+            plotattributes = merge(plotattributes, copy(series.plotattributes))
+            subplot := lens_index
+            label := ""
+            xlims := (x1, x2)
+            ylims := (y1, y2)
+            ()
+        end
+    end
+    backup = copy(plotattributes)
+    empty!(plotattributes)
+    seriestype := :path
+    series_plotindex := backup[:series_plotindex]
+end
+
+function intersection_point(xA, yA, xB, yB, h, w)
+    s = (yA - yB) / (xA - xB)
+    hh = h / 2
+    hw = w / 2
+    # left or right?
+    if -hh <= s * hw <= hh
+        if xA > xB
+            # right
+            return xB + hw, yB + s * hw
+        else # left
+            return xB - hw, yB - s * hw
+        end
+    # top or bot?
+    elseif -hw <= hh/s <= hw
+        if yA > yB
+            # top
+            return xB + hh/s, yB + hh
+        else
+            # bottom
+            return xB - hh/s, yB - hh
+        end
+    end
+end
 # ---------------------------------------------------------------------------
 # contourf - filled contours
 
@@ -811,7 +996,7 @@ end
 # ---------------------------------------------------------------------------
 # Error Bars
 
-function error_style!(plotattributes::KW)
+function error_style!(plotattributes::AKW)
     plotattributes[:seriestype] = :path
     plotattributes[:linecolor] = plotattributes[:markerstrokecolor]
     plotattributes[:linewidth] = plotattributes[:markerstrokewidth]
@@ -853,7 +1038,11 @@ end
 @recipe function f(::Type{Val{:yerror}}, x, y, z)
     error_style!(plotattributes)
     markershape := :hline
-    plotattributes[:x], plotattributes[:y] = error_coords(plotattributes[:x], plotattributes[:y], error_zipit(plotattributes[:yerror]))
+    plotattributes[:x], plotattributes[:y] = error_coords(
+        plotattributes[:x],
+        plotattributes[:y],
+        error_zipit(plotattributes[:yerror]),
+    )
     ()
 end
 @deps yerror path
@@ -861,7 +1050,11 @@ end
 @recipe function f(::Type{Val{:xerror}}, x, y, z)
     error_style!(plotattributes)
     markershape := :vline
-    plotattributes[:y], plotattributes[:x] = error_coords(plotattributes[:y], plotattributes[:x], error_zipit(plotattributes[:xerror]))
+    plotattributes[:y], plotattributes[:x] = error_coords(
+        plotattributes[:y],
+        plotattributes[:x],
+        error_zipit(plotattributes[:xerror]),
+    )
     ()
 end
 @deps xerror path
@@ -872,8 +1065,8 @@ end
 # ---------------------------------------------------------------------------
 # quiver
 
-# function apply_series_recipe(plotattributes::KW, ::Type{Val{:quiver}})
-function quiver_using_arrows(plotattributes::KW)
+# function apply_series_recipe(plotattributes::AKW, ::Type{Val{:quiver}})
+function quiver_using_arrows(plotattributes::AKW)
     plotattributes[:label] = ""
     plotattributes[:seriestype] = :path
     if !isa(plotattributes[:arrow], Arrow)
@@ -896,23 +1089,23 @@ function quiver_using_arrows(plotattributes::KW)
             first(vi), last(vi)
         elseif isscalar(vi)
             vi, vi
-        elseif isa(vi,Function)
+        elseif isa(vi, Function)
             vi(xi, yi)
         else
             error("unexpected vi type $(typeof(vi)) for quiver: $vi")
         end
 
         # add the points
-        nanappend!(x, [xi, xi+vx, NaN])
-        nanappend!(y, [yi, yi+vy, NaN])
+        nanappend!(x, [xi, xi + vx, NaN])
+        nanappend!(y, [yi, yi + vy, NaN])
     end
 
     plotattributes[:x], plotattributes[:y] = x, y
     # KW[plotattributes]
 end
 
-# function apply_series_recipe(plotattributes::KW, ::Type{Val{:quiver}})
-function quiver_using_hack(plotattributes::KW)
+# function apply_series_recipe(plotattributes::AKW, ::Type{Val{:quiver}})
+function quiver_using_hack(plotattributes::AKW)
     plotattributes[:label] = ""
     plotattributes[:seriestype] = :shape
 
@@ -934,7 +1127,7 @@ function quiver_using_hack(plotattributes::KW)
             first(vi), last(vi)
         elseif isscalar(vi)
             vi, vi
-        elseif isa(vi,Function)
+        elseif isa(vi, Function)
             vi(xi, yi)
         else
             error("unexpected vi type $(typeof(vi)) for quiver: $vi")
@@ -949,15 +1142,18 @@ function quiver_using_hack(plotattributes::KW)
         U1 *= arrow_h
         U2 *= arrow_w
 
-        ppv = p+v
-        nanappend!(pts, P2[p, ppv-U1, ppv-U1+U2, ppv, ppv-U1-U2, ppv-U1])
+        ppv = p + v
+        nanappend!(
+            pts,
+            P2[p, ppv - U1, ppv - U1 + U2, ppv, ppv - U1 - U2, ppv - U1],
+        )
     end
 
     plotattributes[:x], plotattributes[:y] = Plots.unzip(pts[2:end])
     # KW[plotattributes]
 end
 
-# function apply_series_recipe(plotattributes::KW, ::Type{Val{:quiver}})
+# function apply_series_recipe(plotattributes::AKW, ::Type{Val{:quiver}})
 @recipe function f(::Type{Val{:quiver}}, x, y, z)
     if :arrow in supported_attrs()
         quiver_using_arrows(plotattributes)
@@ -975,32 +1171,28 @@ end
 
 "Represent Open High Low Close data (used in finance)"
 mutable struct OHLC{T<:Real}
-  open::T
-  high::T
-  low::T
-  close::T
+    open::T
+    high::T
+    low::T
+    close::T
 end
 Base.convert(::Type{OHLC}, tup::Tuple) = OHLC(tup...)
 # Base.tuple(ohlc::OHLC) = (ohlc.open, ohlc.high, ohlc.low, ohlc.close)
 
 # get one OHLC path
 function get_xy(o::OHLC, x, xdiff)
-    xl, xm, xr = x-xdiff, x, x+xdiff
-    ox = [xl, xm, NaN,
-          xm, xm, NaN,
-          xm, xr]
-    oy = [o.open, o.open, NaN,
-          o.low, o.high, NaN,
-          o.close, o.close]
+    xl, xm, xr = x - xdiff, x, x + xdiff
+    ox = [xl, xm, NaN, xm, xm, NaN, xm, xr]
+    oy = [o.open, o.open, NaN, o.low, o.high, NaN, o.close, o.close]
     ox, oy
 end
 
 # get the joined vector
-function get_xy(v::AVec{OHLC}, x = 1:length(v))
-    xdiff = 0.3ignorenan_mean(abs.(diff(x)))
+function get_xy(v::AVec{OHLC}, x = eachindex(v))
+    xdiff = 0.3 * ignorenan_mean(abs.(diff(x)))
     x_out, y_out = zeros(0), zeros(0)
-    for (i,ohlc) in enumerate(v)
-        ox,oy = get_xy(ohlc, x[i], xdiff)
+    for (i, ohlc) in enumerate(v)
+        ox, oy = get_xy(ohlc, x[i], xdiff)
         nanappend!(x_out, ox)
         nanappend!(y_out, oy)
     end
@@ -1013,10 +1205,17 @@ end
 
 # to squash ambiguity warnings...
 @recipe f(x::AVec{Function}, v::AVec{OHLC}) = error()
-@recipe f(x::AVec{Function}, v::AVec{Tuple{R1,R2,R3,R4}}) where {R1<:Number,R2<:Number,R3<:Number,R4<:Number} = error()
+@recipe f(
+    x::AVec{Function},
+    v::AVec{Tuple{R1,R2,R3,R4}},
+) where {R1<:Number,R2<:Number,R3<:Number,R4<:Number} = error()
 
 # this must be OHLC?
-@recipe f(x::AVec, ohlc::AVec{Tuple{R1,R2,R3,R4}}) where {R1<:Number,R2<:Number,R3<:Number,R4<:Number} = x, OHLC[OHLC(t...) for t in ohlc]
+@recipe f(
+    x::AVec,
+    ohlc::AVec{Tuple{R1,R2,R3,R4}},
+) where {R1<:Number,R2<:Number,R3<:Number,R4<:Number} =
+    x, OHLC[OHLC(t...) for t in ohlc]
 
 @recipe function f(x::AVec, v::AVec{OHLC})
     seriestype := :path
@@ -1054,11 +1253,11 @@ end
     @assert length(g.args) == 1 && typeof(g.args[1]) <: AbstractMatrix
     seriestype := :spy
     mat = g.args[1]
-    n,m = size(mat)
-    Plots.SliceIt, 1:m, 1:n, Surface(mat)
+    n, m = axes(mat)
+    Plots.SliceIt, m, n, Surface(mat)
 end
 
-@recipe function f(::Type{Val{:spy}}, x,y,z)
+@recipe function f(::Type{Val{:spy}}, x, y, z)
     yflip := true
     aspect_ratio := 1
     rs, cs, zs = findnz(z.surf)
@@ -1084,7 +1283,8 @@ end
 # -------------------------------------------------
 
 "Adds ax+b... straight line over the current plot, without changing the axis limits"
-abline!(plt::Plot, a, b; kw...) = plot!(plt, [0, 1], [b, b+a]; seriestype = :straightline, kw...)
+abline!(plt::Plot, a, b; kw...) =
+    plot!(plt, [0, 1], [b, b + a]; seriestype = :straightline, kw...)
 
 abline!(args...; kw...) = abline!(current(), args...; kw...)
 
@@ -1097,9 +1297,11 @@ datetimeformatter(dt) = string(DateTime(Dates.UTM(dt)))
 timeformatter(t) = string(Dates.Time(Dates.Nanosecond(t)))
 
 @recipe f(::Type{Date}, dt::Date) = (dt -> Dates.value(dt), dateformatter)
-@recipe f(::Type{DateTime}, dt::DateTime) = (dt -> Dates.value(dt), datetimeformatter)
+@recipe f(::Type{DateTime}, dt::DateTime) =
+    (dt -> Dates.value(dt), datetimeformatter)
 @recipe f(::Type{Dates.Time}, t::Dates.Time) = (t -> Dates.value(t), timeformatter)
-@recipe f(::Type{P}, t::P) where P <: Dates.Period = (t -> Dates.value(t), t -> string(P(t)))
+@recipe f(::Type{P}, t::P) where {P<:Dates.Period} =
+    (t -> Dates.value(t), t -> string(P(t)))
 
 # -------------------------------------------------
 # Characters
@@ -1109,7 +1311,7 @@ timeformatter(t) = string(Dates.Time(Dates.Nanosecond(t)))
 # -------------------------------------------------
 # Complex Numbers
 
-@recipe function f(A::Array{Complex{T}}) where T<:Number
+@recipe function f(A::Array{Complex{T}}) where {T<:Number}
     xguide --> "Re(x)"
     yguide --> "Im(x)"
     real.(A), imag.(A)
@@ -1118,10 +1320,10 @@ end
 # Splits a complex matrix to its real and complex parts
 # Reals defaults solid, imaginary defaults dashed
 # Label defaults are changed to match the real-imaginary reference / indexing
-@recipe function f(x::AbstractArray{T},y::Array{Complex{T2}}) where {T<:Real,T2}
-  ylabel --> "Re(y)"
-  zlabel --> "Im(y)"
-  x,real.(y),imag.(y)
+@recipe function f(x::AbstractArray{T}, y::Array{Complex{T2}}) where {T<:Real,T2}
+    ylabel --> "Re(y)"
+    zlabel --> "Im(y)"
+    x, real.(y), imag.(y)
 end
 
 
@@ -1135,7 +1337,7 @@ end
     end
 
     library = PlotUtils.color_libraries[cl.args[1]]
-    z = sqrt.((1:15)*reshape(1:20,1,:))
+    z = sqrt.((1:15) * reshape(1:20, 1, :))
 
     seriestype := :heatmap
     ticks := nothing
@@ -1159,7 +1361,7 @@ end
     if !(length(grad.args) == 1 && isa(grad.args[1], Symbol))
         error("showgradient takes the name of a color gradient as a Symbol")
     end
-    z = sqrt.((1:15)*reshape(1:20,1,:))
+    z = sqrt.((1:15) * reshape(1:20, 1, :))
     seriestype := :heatmap
     ticks := nothing
     legend := false
@@ -1182,9 +1384,9 @@ end
     weights = cumsum(weights, dims = 2)
     seriestype := :shape
 
-	# create a filled polygon for each item
-    for c=1:size(weights,2)
-        sx = vcat(weights[:,c], c==1 ? zeros(n) : reverse(weights[:,c-1]))
+    # create a filled polygon for each item
+    for c in axes(weights, 2)
+        sx = vcat(weights[:, c], c == 1 ? zeros(n) : reverse(weights[:, c - 1]))
         sy = vcat(returns, reverse(returns))
         @series Plots.isvertical(plotattributes) ? (sx, sy) : (sy, sx)
     end
@@ -1203,13 +1405,13 @@ julia> areaplot(1:3, [1 2 3; 7 8 9; 4 5 6], seriescolor = [:red :green :blue], f
 @userplot AreaPlot
 
 @recipe function f(a::AreaPlot)
-    data = cumsum(a.args[end], dims=2)
-    x = length(a.args) == 1 ? (1:size(data, 1)) : a.args[1]
+    data = cumsum(a.args[end], dims = 2)
+    x = length(a.args) == 1 ? (axes(data, 1)) : a.args[1]
     seriestype := :line
-    for i in 1:size(data, 2)
+    for i in axes(data, 2)
         @series begin
-            fillrange := i > 1 ? data[:,i-1] : 0
-            x, data[:,i]
+            fillrange := i > 1 ? data[:, i - 1] : 0
+            x, data[:, i]
         end
     end
 end

src/series.jl

@@ -1,66 +1,16 @@
 
-
-# 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 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")
-prepareSeriesData(::Nothing) = nothing
-prepareSeriesData(s::SeriesData) = handlemissings(s)
-
-handlemissings(v) = v
-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) = Any[prepareSeriesData(x)]
-
-# fixed number of blank series
-convertToAnyVector(n::Integer) = Any[zeros(0) for i in 1:n]
-
-# vector of data points is a single series
-convertToAnyVector(v::AVec{<:DataPoint}) = Any[prepareSeriesData(v)]
-
-# list of things (maybe other vectors, functions, or something else)
-convertToAnyVector(v::AVec) = vcat((convertToAnyVector(vi) for vi in v)...)
-
-# Matrix is split into columns
-convertToAnyVector(v::AMat{<:DataPoint}) = Any[prepareSeriesData(v[:,i]) for i in 1:size(v,2)]
-
-# --------------------------------------------------------------------
-# Fillranges & ribbons
-
-
-process_fillrange(range::Number) = [range]
-process_fillrange(range) = convertToAnyVector(range)
-
-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]),
-                                                     convertToAnyVector(ribbon[2])))
-
-
 # --------------------------------------------------------------------
 
 # TODO: can we avoid the copy here?  one error that crops up is that mapping functions over the same array
 #       result in that array being shared.  push!, etc will add too many items to that array
 
-compute_x(x::Nothing, y::Nothing, z)      = 1:size(z,1)
-compute_x(x::Nothing, y, z)            = 1:size(y,1)
+compute_x(x::Nothing, y::Nothing, z)      = axes(z,1)
+compute_x(x::Nothing, y, z)            = axes(y,1)
 compute_x(x::Function, y, z)        = map(x, y)
 compute_x(x, y, z)                  = copy(x)
 
 # compute_y(x::Void, y::Function, z)  = error()
-compute_y(x::Nothing, y::Nothing, z)      = 1:size(z,2)
+compute_y(x::Nothing, y::Nothing, z)      = axes(z,2)
 compute_y(x, y::Function, z)        = map(y, x)
 compute_y(x, y, z)                  = copy(y)
 
@@ -90,70 +40,6 @@ 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)
-    ys = convertToAnyVector(y)
-    zs = convertToAnyVector(z)
-
-
-    fr = pop!(plotattributes, :fillrange, nothing)
-    fillranges = process_fillrange(fr)
-    mf = length(fillranges)
-
-    rib = pop!(plotattributes, :ribbon, nothing)
-    ribbons = process_ribbon(rib)
-    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]
 
@@ -250,7 +136,7 @@ end
 # # --------------------------------------------------------------------
 
 # helper function to ensure relevant attributes are wrapped by Surface
-function wrap_surfaces(plotattributes::KW)
+function wrap_surfaces(plotattributes::AKW)
     if haskey(plotattributes, :fill_z)
         v = plotattributes[:fill_z]
         if !isa(v, Surface)
@@ -261,14 +147,13 @@ end
 
 @recipe f(n::Integer) = is3d(get(plotattributes,:seriestype,:path)) ? (SliceIt, n, n, n) : (SliceIt, n, n, nothing)
 
-all3D(plotattributes::KW) = 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}
     if all3D(plotattributes)
-        n,m = size(mat)
+        n,m = axes(mat)
         wrap_surfaces(plotattributes)
-        SliceIt, 1:m, 1:n, Surface(mat)
+        SliceIt, m, n, Surface(mat)
     else
         SliceIt, nothing, mat, nothing
     end
@@ -278,9 +163,9 @@ end
 @recipe function f(fmt::Formatted{T}) where T<:AbstractMatrix
     if all3D(plotattributes)
         mat = fmt.data
-        n,m = size(mat)
+        n,m = axes(mat)
         wrap_surfaces(plotattributes)
-        SliceIt, 1:m, 1:n, Formatted(Surface(mat), fmt.formatter)
+        SliceIt, m, n, Formatted(Surface(mat), fmt.formatter)
     else
         SliceIt, nothing, fmt, nothing
     end
@@ -303,35 +188,36 @@ function clamp_greys!(mat::AMat{T}) where T<:Gray
 end
 
 @recipe function f(mat::AMat{T}) where T<:Gray
-    n, m = size(mat)
+    n, m = axes(mat)
     if is_seriestype_supported(:image)
         seriestype := :image
         yflip --> true
-        SliceIt, 1:m, 1:n, Surface(clamp_greys!(mat))
+        SliceIt, m, n, Surface(clamp_greys!(mat))
     else
         seriestype := :heatmap
         yflip --> true
         cbar --> false
         fillcolor --> ColorGradient([:black, :white])
-        SliceIt, 1:m, 1:n, Surface(clamp!(convert(Matrix{Float64}, mat), 0., 1.))
+        SliceIt, m, n, Surface(clamp!(convert(Matrix{Float64}, mat), 0., 1.))
     end
 end
 
 # # images - colors
 
 @recipe function f(mat::AMat{T}) where T<:Colorant
-	n, m = size(mat)
+	n, m = axes(mat)
 
     if is_seriestype_supported(:image)
         seriestype := :image
         yflip --> true
-        SliceIt, 1:m, 1:n, Surface(mat)
+        SliceIt, m, n, Surface(mat)
     else
         seriestype := :heatmap
         yflip --> true
         cbar --> false
+        aspect_ratio --> :equal
         z, plotattributes[:fillcolor] = replace_image_with_heatmap(mat)
-        SliceIt, 1:m, 1:n, Surface(z)
+        SliceIt, m, n, Surface(z)
     end
 end
 
@@ -350,7 +236,7 @@ end
 
 @recipe function f(shapes::AMat{Shape})
     seriestype --> :shape
-    for j in 1:size(shapes,2)
+    for j in axes(shapes,2)
         @series coords(vec(shapes[:,j]))
     end
 end
@@ -363,12 +249,16 @@ end
 
 @recipe function f(f::FuncOrFuncs{F}) where F<:Function
     plt = plotattributes[:plot_object]
-    xmin, xmax = try
-        axis_limits(plt[1], :x)
-    catch
-        xinv = invscalefunc(get(plotattributes, :xscale, :identity))
-        xm = tryrange(f, xinv.([-5,-1,0,0.01]))
-        xm, tryrange(f, filter(x->x>xm, xinv.([5,1,0.99, 0, -0.01])))
+    xmin, xmax = if haskey(plotattributes, :xlims)
+        plotattributes[:xlims]
+    else
+        try
+            axis_limits(plt[1], :x)
+        catch
+            xinv = invscalefunc(get(plotattributes, :xscale, :identity))
+            xm = tryrange(f, xinv.([-5,-1,0,0.01]))
+            xm, tryrange(f, filter(x->x>xm, xinv.([5,1,0.99, 0, -0.01])))
+        end
     end
 
     f, xmin, xmax
@@ -499,20 +389,25 @@ 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)]
-    xs = _scaled_adapted_grid(f, xscale, yscale, xmin, xmax)
-    xs, f
+    _scaled_adapted_grid(f, xscale, yscale, xmin, xmax)
 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 = Any[_scaled_adapted_grid(f, xscale, yscale, xmin, xmax) for f in fs]
-    xs, fs
+    xs = Array{Any}(undef, length(fs))
+    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
 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))
-    xinv.(adapted_grid(yf∘f∘xinv, xf.((xmin, xmax))))
+    xs, ys = adapted_grid(yf∘f∘xinv, xf.((xmin, xmax)))
+    xinv.(xs), yinv.(ys)
 end
 
 #
@@ -558,7 +453,7 @@ end
 # end
 
 splittable_kw(key, val, lengthGroup) = false
-splittable_kw(key, val::AbstractArray, lengthGroup) = !(key in (:group, :color_palette)) && size(val,1) == lengthGroup
+splittable_kw(key, val::AbstractArray, lengthGroup) = !(key in (:group, :color_palette)) && length(axes(val,1)) == lengthGroup
 splittable_kw(key, val::Tuple, lengthGroup) = all(splittable_kw.(key, val, lengthGroup))
 splittable_kw(key, val::SeriesAnnotations, lengthGroup) = splittable_kw(key, val.strs, lengthGroup)
 
@@ -572,7 +467,7 @@ end
 function groupedvec2mat(x_ind, x, y::AbstractArray, groupby, def_val = y[1])
     y_mat = Array{promote_type(eltype(y), typeof(def_val))}(undef, length(keys(x_ind)), length(groupby.groupLabels))
     fill!(y_mat, def_val)
-    for i in 1:length(groupby.groupLabels)
+    for i in eachindex(groupby.groupLabels)
         xi = x[groupby.groupIds[i]]
         yi = y[groupby.groupIds[i]]
         y_mat[getindex.(Ref(x_ind), xi), i] = yi
@@ -605,7 +500,7 @@ group_as_matrix(t) = false
         if length(g.args) == 1
             x = zeros(Int, lengthGroup)
             for indexes in groupby.groupIds
-                x[indexes] = 1:length(indexes)
+                x[indexes] = eachindex(indexes)
             end
             last_args = g.args
         else
@@ -613,7 +508,7 @@ group_as_matrix(t) = false
             last_args = g.args[2:end]
         end
         x_u = unique(sort(x))
-        x_ind = Dict(zip(x_u, 1:length(x_u)))
+        x_ind = Dict(zip(x_u, eachindex(x_u)))
         for (key,val) in plotattributes
             if splittable_kw(key, val, lengthGroup)
                 :($key) := groupedvec2mat(x_ind, x, val, groupby)

src/subplots.jl

@@ -7,7 +7,7 @@ function Subplot(::T; parent = RootLayout()) where T<:AbstractBackend
         (20mm, 5mm, 2mm, 10mm),
         defaultbox,
         defaultbox,
-        KW(),
+        Attr(KW(), _subplot_defaults),
         nothing,
         nothing
     )

src/themes.jl

@@ -4,39 +4,19 @@
 Specify the colour theme for plots.
 """
 function theme(s::Symbol; kw...)
-    defaults = _get_defaults(s)
+    defaults = copy(PlotThemes._themes[s].defaults)
     _theme(s, defaults; kw...)
 end
 
-function _get_defaults(s::Symbol)
-    thm = PlotThemes._themes[s]
-    if :defaults in fieldnames(typeof(thm))
-        return thm.defaults
-    else # old PlotTheme type
-        defaults = KW(
-            :bg       => thm.bg_secondary,
-            :bginside => thm.bg_primary,
-            :fg       => thm.lines,
-            :fgtext   => thm.text,
-            :fgguide  => thm.text,
-            :fglegend => thm.text,
-            :palette  => thm.palette,
-        )
-        if thm.gradient !== nothing
-            push!(defaults, :gradient => thm.gradient)
-        end
-        return defaults
-    end
-end
-
-function _theme(s::Symbol, defaults::KW; kw...)
+function _theme(s::Symbol, defaults::AKW; kw...)
     # Reset to defaults to overwrite active theme
     reset_defaults()
 
     # Set the theme's gradient as default
-    if haskey(defaults, :gradient)
+    if haskey(defaults, :colorgradient)
         PlotUtils.clibrary(:misc)
         PlotUtils.default_cgrad(default = :sequential, sequential = PlotThemes.gradient_name(s))
+        pop!(defaults, :colorgradient)
     else
         PlotUtils.clibrary(:Plots)
         PlotUtils.default_cgrad(default = :sequential, sequential = :inferno)
@@ -44,8 +24,8 @@ function _theme(s::Symbol, defaults::KW; kw...)
 
     # maybe overwrite the theme's gradient
     kw = KW(kw)
-    if haskey(kw, :gradient)
-        kwgrad = pop!(kw, :gradient)
+    if haskey(kw, :colorgradient)
+        kwgrad = pop!(kw, :colorgradient)
         for clib in clibraries()
             if kwgrad in cgradients(clib)
                 PlotUtils.clibrary(clib)
@@ -74,11 +54,11 @@ _get_showtheme_args(thm::Symbol, func::Symbol) = thm, get(_color_functions, func
 
 @recipe function showtheme(st::ShowTheme)
     thm, cfunc = _get_showtheme_args(st.args...)
-    defaults = _get_defaults(thm)
+    defaults = PlotThemes._themes[thm].defaults
 
     # get the gradient
-    gradient_colors = get(defaults, :gradient, cgrad(:inferno).colors)
-    gradient = cgrad(cfunc.(RGB.(gradient_colors)))
+    gradient_colors = get(defaults, :colorgradient, cgrad(:inferno).colors)
+    colorgradient = cgrad(cfunc.(RGB.(gradient_colors)))
 
     # get the palette
     palette = get(defaults, :palette, get_color_palette(:auto, plot_color(:white), 17))
@@ -86,7 +66,7 @@ _get_showtheme_args(thm::Symbol, func::Symbol) = thm, get(_color_functions, func
 
     # apply the theme
     for k in keys(defaults)
-        k in (:gradient, :palette) && continue
+        k in (:colorgradient, :palette) && continue
         def = defaults[k]
         arg = get(_keyAliases, k, k)
         plotattributes[arg] = if typeof(def) <: Colorant
@@ -139,27 +119,30 @@ _get_showtheme_args(thm::Symbol, func::Symbol) = thm, get(_color_functions, func
     @series begin
         subplot := 4
         seriestype := :heatmap
-        seriescolor := gradient
-        ticks := -5:5:5
+        seriescolor := colorgradient
+        xticks := (-2π:2π:2π, string.(-2:2:2, "π"))
+        yticks := (-2π:2π:2π, string.(-2:2:2, "π"))
         x, y, z
     end
 
     @series begin
         subplot := 5
         seriestype := :surface
-        seriescolor := gradient
+        seriescolor := colorgradient
+        xticks := (-2π:2π:2π, string.(-2:2:2, "π"))
+        yticks := (-2π:2π:2π, string.(-2:2:2, "π"))
         x, y, z
     end
 
     n = 100
     ts = range(0, stop = 10π, length = n)
-    x = ts .* cos.(ts)
+    x = (0.1ts) .* cos.(ts)
     y = (0.1ts) .* sin.(ts)
     z = 1:n
 
     @series begin
         subplot := 6
-        seriescolor := gradient
+        seriescolor := colorgradient
         linewidth := 3
         line_z := z
         x, y, z

src/types.jl

@@ -5,6 +5,7 @@
 const AVec = AbstractVector
 const AMat = AbstractMatrix
 const KW = Dict{Symbol,Any}
+const AKW = AbstractDict{Symbol,Any}
 const TicksArgs = Union{AVec{T}, Tuple{AVec{T}, AVec{S}}, Symbol} where {T<:Real, S<:AbstractString}
 
 struct PlotsDisplay <: AbstractDisplay end
@@ -18,10 +19,63 @@ wrap(obj::T) where {T} = InputWrapper{T}(obj)
 Base.isempty(wrapper::InputWrapper) = false
 
 
+# -----------------------------------------------------------
+
+struct Attr <: AbstractDict{Symbol,Any}
+    explicit::KW
+    defaults::KW
+end
+
+Base.getindex(attr::Attr, k) = haskey(attr.explicit,k) ?
+                                     attr.explicit[k] : attr.defaults[k]
+Base.haskey(attr::Attr, k) = haskey(attr.explicit,k) || haskey(attr.defaults,k)
+Base.get(attr::Attr, k, default) = haskey(attr, k) ? attr[k] : default
+function Base.get!(attr::Attr, k, default)
+    v = if haskey(attr, k)
+        attr[k]
+    else
+        attr.defaults[k] = default
+    end
+    return v
+end
+function Base.delete!(attr::Attr, k)
+    haskey(attr.explicit, k) && delete!(attr.explicit, k)
+    haskey(attr.defaults, k) && delete!(attr.defaults, k)
+end 
+Base.length(attr::Attr) = length(union(keys(attr.explicit), keys(attr.defaults)))
+function Base.iterate(attr::Attr)
+    exp_keys = keys(attr.explicit)
+    def_keys = setdiff(keys(attr.defaults), exp_keys)
+    key_list = collect(Iterators.flatten((exp_keys, def_keys)))
+    iterate(attr, (key_list, 1))
+end
+function Base.iterate(attr::Attr, (key_list, i))
+    i > length(key_list) && return nothing
+    k = key_list[i]
+    (k=>attr[k], (key_list, i+1))
+end
+
+Base.copy(attr::Attr) = Attr(copy(attr.explicit), attr.defaults)
+
+RecipesBase.is_explicit(attr::Attr, k) = haskey(attr.explicit,k)
+isdefault(attr::Attr, k) = !is_explicit(attr,k) && haskey(attr.defaults,k)
+
+Base.setindex!(attr::Attr, v, k) = attr.explicit[k] = v
+
+# Reset to default value and return dict
+reset_kw!(attr::Attr, k) = is_explicit(attr, k) ? delete!(attr.explicit, k) : attr
+# Reset to default value and return old value
+pop_kw!(attr::Attr, k) = is_explicit(attr, k) ? pop!(attr.explicit, k) : attr.defaults[k]
+pop_kw!(attr::Attr, k, default) = is_explicit(attr, k) ? pop!(attr.explicit, k) : get(attr.defaults, k, default)
+# Fallbacks for dicts without defaults
+reset_kw!(d::AKW, k) = delete!(d, k)
+pop_kw!(d::AKW, k) = pop!(d, k)
+pop_kw!(d::AKW, k, default) = pop!(d, k, default)
+
 # -----------------------------------------------------------
 
 mutable struct Series
-    plotattributes::KW
+    plotattributes::Attr
 end
 
 attr(series::Series, k::Symbol) = series.plotattributes[k]
@@ -36,7 +90,7 @@ mutable struct Subplot{T<:AbstractBackend} <: AbstractLayout
     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
-    attr::KW  # args specific to this subplot
+    attr::Attr  # 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)
 end
@@ -48,7 +102,7 @@ Base.show(io::IO, sp::Subplot) = print(io, "Subplot{$(sp[:subplot_index])}")
 # simple wrapper around a KW so we can hold all attributes pertaining to the axis in one place
 mutable struct Axis
     sps::Vector{Subplot}
-    plotattributes::KW
+    plotattributes::Attr
 end
 
 mutable struct Extrema
@@ -67,8 +121,7 @@ const SubplotMap = Dict{Any, Subplot}
 mutable struct Plot{T<:AbstractBackend} <: AbstractPlot{T}
     backend::T                   # the backend type
     n::Int                       # number of series
-    attr::KW                     # arguments for the whole plot
-    user_attr::KW                # raw arg inputs (after aliases).  these are used as the input dict in `_plot!`
+    attr::Attr            # arguments for the whole plot
     series_list::Vector{Series}  # arguments for each series
     o                            # the backend's plot object
     subplots::Vector{Subplot}
@@ -79,7 +132,7 @@ mutable struct Plot{T<:AbstractBackend} <: AbstractPlot{T}
 end
 
 function Plot()
-    Plot(backend(), 0, KW(), KW(), Series[], nothing,
+    Plot(backend(), 0, Attr(KW(), _plot_defaults), Series[], nothing,
          Subplot[], SubplotMap(), EmptyLayout(),
          Subplot[], false)
 end

src/utils.jl

@@ -43,7 +43,7 @@ function barHack(; kw...)
   # estimate the edges
   dists = diff(midpoints) * 0.5
   edges = zeros(length(midpoints)+1)
-  for i in 1:length(edges)
+  for i in eachindex(edges)
     if i == 1
       edge = midpoints[1] - dists[1]
     elseif i == length(edges)
@@ -56,7 +56,7 @@ function barHack(; kw...)
 
   x = Float64[]
   y = Float64[]
-  for i in 1:length(heights)
+  for i in eachindex(heights)
     e1, e2 = edges[i:i+1]
     append!(x, [e1, e1, e2, e2])
     append!(y, [fillrange, heights[i], heights[i], fillrange])
@@ -115,26 +115,12 @@ 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))
     newz = reshape(range(0, stop=1, length=n*m), n, m)
     newz, colors
-    # newz = zeros(n, m)
-    # for i=1:n, j=1:m
-    #     push!(colors, T(z[i,j]...))
-    #     newz[i,j] = idx / (n*m-1)
-    #     idx += 1
-    # end
-    # newz, ColorGradient(colors)
 end
 
-function imageHack(plotattributes::KW)
-    is_seriestype_supported(:heatmap) || error("Neither :image or :heatmap are supported!")
-    plotattributes[:seriestype] = :heatmap
-    plotattributes[:z], plotattributes[:fillcolor] = replace_image_with_heatmap(plotattributes[:z].surf)
-end
 # ---------------------------------------------------------------
 
 "Build line segments for plotting"
@@ -146,16 +132,18 @@ end
 
 Segments() = Segments(Float64)
 Segments(::Type{T}) where {T} = Segments(T[])
-Segments(p::Int) = Segments(NTuple{2,Float64}[])
+Segments(p::Int) = Segments(NTuple{p, Float64}[])
 
 
 # Segments() = Segments(zeros(0))
 
 to_nan(::Type{Float64}) = NaN
 to_nan(::Type{NTuple{2,Float64}}) = (NaN, NaN)
+to_nan(::Type{NTuple{3,Float64}}) = (NaN, NaN, NaN)
 
 coords(segs::Segments{Float64}) = segs.pts
 coords(segs::Segments{NTuple{2,Float64}}) = Float64[p[1] for p in segs.pts], Float64[p[2] for p in segs.pts]
+coords(segs::Segments{NTuple{3,Float64}}) = Float64[p[1] for p in segs.pts], Float64[p[2] for p in segs.pts], Float64[p[3] for p in segs.pts]
 
 function Base.push!(segments::Segments{T}, vs...) where T
     if !isempty(segments.pts)
@@ -183,13 +171,15 @@ end
 
 mutable struct SegmentsIterator
     args::Tuple
-    n::Int
+    n1::Int
+    n2::Int
 end
 
 function iter_segments(args...)
     tup = Plots.wraptuple(args)
-    n = maximum(map(length, tup))
-    SegmentsIterator(tup, n)
+    n1 = minimum(map(firstindex, tup))
+    n2 = maximum(map(lastindex, tup))
+    SegmentsIterator(tup, n1, n2)
 end
 
 function iter_segments(series::Series)
@@ -198,9 +188,9 @@ function iter_segments(series::Series)
         return UnitRange{Int}[]
     elseif has_attribute_segments(series)
         if series[:seriestype] in (:scatter, :scatter3d)
-            return [[i] for i in 1:length(y)]
+            return [[i] for i in eachindex(y)]
         else
-            return [i:(i + 1) for i in 1:(length(y) - 1)]
+            return [i:(i + 1) for i in firstindex(y):lastindex(y)-1]
         end
     else
         segs = UnitRange{Int}[]
@@ -218,13 +208,13 @@ anynan(args::Tuple) = i -> anynan(i,args)
 anynan(istart::Int, iend::Int, args::Tuple) = any(anynan(args), istart:iend)
 allnan(istart::Int, iend::Int, args::Tuple) = all(anynan(args), istart:iend)
 
-function Base.iterate(itr::SegmentsIterator, nextidx::Int = 1)
-    i = findfirst(!anynan(itr.args), nextidx:itr.n)
+function Base.iterate(itr::SegmentsIterator, nextidx::Int = itr.n1)
+    i = findfirst(!anynan(itr.args), nextidx:itr.n2)
     i === nothing && return nothing
     nextval = nextidx + i - 1
 
-    j = findfirst(anynan(itr.args), nextval:itr.n)
-    nextnan = j === nothing ? itr.n + 1 : nextval + j - 1
+    j = findfirst(anynan(itr.args), nextval:itr.n2)
+    nextnan = j === nothing ? itr.n2 + 1 : nextval + j - 1
 
     nextval:nextnan-1, nextnan
 end
@@ -315,13 +305,13 @@ function replaceType(vec, val)
   push!(vec, val)
 end
 
-function replaceAlias!(plotattributes::KW, k::Symbol, aliases::Dict{Symbol,Symbol})
+function replaceAlias!(plotattributes::AKW, k::Symbol, aliases::Dict{Symbol,Symbol})
   if haskey(aliases, k)
-    plotattributes[aliases[k]] = pop!(plotattributes, k)
+    plotattributes[aliases[k]] = pop_kw!(plotattributes, k)
   end
 end
 
-function replaceAliases!(plotattributes::KW, aliases::Dict{Symbol,Symbol})
+function replaceAliases!(plotattributes::AKW, aliases::Dict{Symbol,Symbol})
   ks = collect(keys(plotattributes))
   for k in ks
       replaceAlias!(plotattributes, k, aliases)
@@ -343,8 +333,11 @@ const _scale_base = Dict{Symbol, Real}(
     :ln => ℯ,
 )
 
-function _heatmap_edges(v::AVec)
+function _heatmap_edges(v::AVec, isedges::Bool = false)
   length(v) == 1 && return v[1] .+ [-0.5, 0.5]
+  if isedges return v end
+  # `isedges = true` means that v is a vector which already describes edges
+  # and does not need to be extended.
   vmin, vmax = ignorenan_extrema(v)
   extra_min = (v[2] - v[1]) / 2
   extra_max = (v[end] - v[end - 1]) / 2
@@ -352,9 +345,30 @@ function _heatmap_edges(v::AVec)
 end
 
 "create an (n+1) list of the outsides of heatmap rectangles"
-function heatmap_edges(v::AVec, scale::Symbol = :identity)
+function heatmap_edges(v::AVec, scale::Symbol = :identity, isedges::Bool = false)
   f, invf = scalefunc(scale), invscalefunc(scale)
-  map(invf, _heatmap_edges(map(f,v)))
+  map(invf, _heatmap_edges(map(f,v), isedges))
+end
+
+function heatmap_edges(x::AVec, xscale::Symbol, y::AVec, yscale::Symbol, z_size::Tuple{Int, Int})
+    nx, ny = length(x), length(y)
+    # ismidpoints = z_size == (ny, nx) # This fails some tests, but would actually be
+    # the correct check, since (4, 3) != (3, 4) and a missleading plot is produced.
+    ismidpoints = prod(z_size) == (ny * nx)
+    isedges = z_size == (ny - 1, nx - 1)
+    if !ismidpoints && !isedges
+        error("""Length of x & y does not match the size of z.
+                Must be either `size(z) == (length(y), length(x))` (x & y define midpoints)
+                or `size(z) == (length(y)+1, length(x)+1))` (x & y define edges).""")
+    end
+    x, y = heatmap_edges(x, xscale, isedges),
+           heatmap_edges(y, yscale, isedges)
+    return x, y
+end
+
+function is_uniformly_spaced(v; tol=1e-6)
+  dv = diff(v)
+  maximum(dv) - minimum(dv) < tol * mean(abs.(dv))
 end
 
 function convert_to_polar(theta, r, r_extrema = ignorenan_extrema(r))
@@ -388,7 +402,7 @@ isscalar(::Any)  = false
 is_2tuple(v) = typeof(v) <: Tuple && length(v) == 2
 
 
-isvertical(plotattributes::KW) = get(plotattributes, :orientation, :vertical) in (:vertical, :v, :vert)
+isvertical(plotattributes::AKW) = get(plotattributes, :orientation, :vertical) in (:vertical, :v, :vert)
 isvertical(series::Series) = isvertical(series.plotattributes)
 
 
@@ -472,7 +486,7 @@ function make_fillrange_side(y, rib)
 end
 
 # turn a ribbon into a fillrange
-function make_fillrange_from_ribbon(kw::KW)
+function make_fillrange_from_ribbon(kw::AKW)
     y, rib = kw[:y], kw[:ribbon]
     rib = wraptuple(rib)
     rib1, rib2 = -first(rib), last(rib)
@@ -524,14 +538,9 @@ zlims(sp_idx::Int = 1) = zlims(current(), sp_idx)
 
 function get_clims(sp::Subplot)
     zmin, zmax = Inf, -Inf
-    z_colored_series = (:contour, :contour3d, :heatmap, :histogram2d, :surface)
     for series in series_list(sp)
-        for vals in (series[:seriestype] in z_colored_series ? series[:z] : nothing, series[:line_z], series[:marker_z], series[:fill_z])
-            if (typeof(vals) <: AbstractSurface) && (eltype(vals.surf) <: Union{Missing, Real})
-                zmin, zmax = _update_clims(zmin, zmax, ignorenan_extrema(vals.surf)...)
-            elseif (vals !== nothing) && (eltype(vals) <: Union{Missing, Real})
-                zmin, zmax = _update_clims(zmin, zmax, ignorenan_extrema(vals)...)
-            end
+        if series[:colorbar_entry]
+            zmin, zmax = _update_clims(zmin, zmax, get_clims(series)...)
         end
     end
     clims = sp[:clims]
@@ -539,10 +548,37 @@ function get_clims(sp::Subplot)
         isfinite(clims[1]) && (zmin = clims[1])
         isfinite(clims[2]) && (zmax = clims[2])
     end
-    return zmin < zmax ? (zmin, zmax) : (-0.1, 0.1)
+    return zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
 end
 
-_update_clims(zmin, zmax, emin, emax) = min(zmin, emin), max(zmax, emax)
+function get_clims(sp::Subplot, series::Series)
+    zmin, zmax = if series[:colorbar_entry]
+        get_clims(sp)
+    else
+        get_clims(series)
+    end
+    clims = sp[:clims]
+    if is_2tuple(clims)
+        isfinite(clims[1]) && (zmin = clims[1])
+        isfinite(clims[2]) && (zmax = clims[2])
+    end
+    return zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
+end
+
+function get_clims(series::Series)
+    zmin, zmax = Inf, -Inf
+    z_colored_series = (:contour, :contour3d, :heatmap, :histogram2d, :surface)
+    for vals in (series[:seriestype] in z_colored_series ? series[:z] : nothing, series[:line_z], series[:marker_z], series[:fill_z])
+        if (typeof(vals) <: AbstractSurface) && (eltype(vals.surf) <: Union{Missing, Real})
+            zmin, zmax = _update_clims(zmin, zmax, ignorenan_extrema(vals.surf)...)
+        elseif (vals !== nothing) && (eltype(vals) <: Union{Missing, Real})
+            zmin, zmax = _update_clims(zmin, zmax, ignorenan_extrema(vals)...)
+        end
+    end
+    return zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
+end
+
+_update_clims(zmin, zmax, emin, emax) = NaNMath.min(zmin, emin), NaNMath.max(zmax, emax)
 
 @enum ColorbarStyle cbar_gradient cbar_fill cbar_lines
 
@@ -644,6 +680,10 @@ function get_markerstrokealpha(series, i::Int = 1)
     _cycle(series[:markerstrokealpha], i)
 end
 
+function get_markerstrokewidth(series, i::Int = 1)
+    _cycle(series[:markerstrokewidth], i)
+end
+
 function has_attribute_segments(series::Series)
     # we want to check if a series needs to be split into segments just because
     # of its attributes
@@ -654,7 +694,20 @@ 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, :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, :linestyle, :fillcolor, :fillalpha, :markercolor, :markeralpha, :markerstrokecolor, :markerstrokealpha]) || any(typeof(series[attr]) <: AbstractArray for attr in (:line_z, :fill_z, :marker_z))
+end
+
+function get_aspect_ratio(sp)
+    aspect_ratio = sp[:aspect_ratio]
+    if aspect_ratio == :auto
+        aspect_ratio = :none
+        for series in series_list(sp)
+            if series[:seriestype] == :image
+                aspect_ratio = :equal
+            end
+        end
+    end
+    return aspect_ratio
 end
 
 # ---------------------------------------------------------------
@@ -664,9 +717,6 @@ 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) ||
@@ -780,7 +830,7 @@ end
 debugshow(io, x) = show(io, x)
 debugshow(io, x::AbstractArray) = print(io, summary(x))
 
-function dumpdict(io::IO, plotattributes::KW, prefix = "", alwaysshow = false)
+function dumpdict(io::IO, plotattributes::AKW, prefix = "", alwaysshow = false)
   _debugMode.on || alwaysshow || return
   println(io)
   if prefix != ""
@@ -793,8 +843,8 @@ function dumpdict(io::IO, plotattributes::KW, prefix = "", alwaysshow = false)
   end
   println(io)
 end
-DD(io::IO, plotattributes::KW, prefix = "") = dumpdict(io, plotattributes, prefix, true)
-DD(plotattributes::KW, prefix = "") = DD(stdout, plotattributes, prefix)
+DD(io::IO, plotattributes::AKW, prefix = "") = dumpdict(io, plotattributes, prefix, true)
+DD(plotattributes::AKW, prefix = "") = DD(stdout, plotattributes, prefix)
 
 function dumpcallstack()
   error()  # well... you wanted the stacktrace, didn't you?!?
@@ -1060,6 +1110,15 @@ 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],
@@ -1100,26 +1159,26 @@ function convert_sci_unicode(label::AbstractString)
     for key in keys(unicode_dict)
         label = replace(label, key => unicode_dict[key])
     end
-    if occursin("10^{", label)
+    if occursin("×10^{", label)
         label = string(label, "}")
     end
     label
 end
 
-function straightline_data(series)
+function straightline_data(series, expansion_factor = 1)
     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)
+        return straightline_data(xl, yl, x, y, expansion_factor)
     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])
+                xdata[inds], ydata[inds] = straightline_data(xl, yl, x[inds], y[inds], expansion_factor)
             end
             return xdata, ydata
         else
@@ -1128,7 +1187,7 @@ function straightline_data(series)
     end
 end
 
-function straightline_data(xl, yl, x, y)
+function straightline_data(xl, yl, x, y, expansion_factor = 1)
     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.")
@@ -1149,29 +1208,28 @@ function straightline_data(xl, yl, x, y)
     end
     # expand the data outside the axis limits, by a certain factor too improve
     # plotly(js) and interactive behaviour
-    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]
+    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]
     return x_vals, y_vals
 end
 
-function shape_data(series)
+function shape_data(series, expansion_factor = 1)
     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] - factor * (xl[2] - xl[1])
+            x[i] = xl[1] - expansion_factor * (xl[2] - xl[1])
         elseif x[i] == Inf
-            x[i] = xl[2] + factor * (xl[2] - xl[1])
+            x[i] = xl[2] + expansion_factor * (xl[2] - xl[1])
         end
     end
     for i in eachindex(y)
         if y[i] == -Inf
-            y[i] = yl[1] - factor * (yl[2] - yl[1])
+            y[i] = yl[1] - expansion_factor * (yl[2] - yl[1])
         elseif y[i] == Inf
-            y[i] = yl[2] + factor * (yl[2] - yl[1])
+            y[i] = yl[2] + expansion_factor * (yl[2] - yl[1])
         end
     end
     return x, y

test/imgcomp.jl

@@ -1,34 +1,6 @@
 import Plots._current_plots_version
 
-# 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)
+function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = !is_ci(), sigma = [1,1], tol = 1e-2)
     Plots._debugMode.on = debug
     example = Plots._examples[idx]
     Plots.theme(:default)
@@ -39,36 +11,9 @@ function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = is
     # ensure consistent results
     Random.seed!(1234)
 
-    # reference image directory setup
-    refdir = joinpath(ref_image_dir, "Plots", string(pkg))
     fn = "ref$idx.png"
-
-    # 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
+    reffn = reference_file(pkg, idx, _current_plots_version)
+    newfn = joinpath(reference_path(pkg, _current_plots_version), fn)
 
     # test function
     func = (fn, idx) -> begin
@@ -78,13 +23,6 @@ function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = is
         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)

test/runtests.jl

@@ -1,40 +1,116 @@
+import ImageMagick
 using VisualRegressionTests
 using Plots
 using Random
-using BinaryProvider
 using Test
 using FileIO
+using Gtk
+using LibGit2
 using GeometryTypes
+using Dates
+
+include("test_pgfplotsx.jl")
+
+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)
-img_tol = isinteractive() ? 1e-2 : 10e-2
+is_ci() = get(ENV, "CI", "false") == "true"
+img_tol = is_ci() ? 1e-2 : Sys.islinux() ? 1e-3 : 0.1
 
+## Uncomment the following lines to update reference images for different backends
+
+#=
 @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 = [25, 30])
-    end
+    image_comparison_facts(:gr, tol=img_tol, skip = Plots._backend_skips[:gr])
 end
 
+plotly()
+@testset "Plotly" begin
+    image_comparison_facts(:plotly, tol=img_tol, skip = Plots._backend_skips[:plotlyjs])
+end
 
-@testset "UnicodePlots" begin
-    @test unicodeplots() == Plots.UnicodePlotsBackend()
-    @test backend() == Plots.UnicodePlotsBackend()
+pyplot()
+@testset "PyPlot" begin
+    image_comparison_facts(:pyplot, tol=img_tol, skip = Plots._backend_skips[:pyplot])
+end
+
+pgfplots()
+@testset "PGFPlots" begin
+    image_comparison_facts(:pgfplots, tol=img_tol, skip = Plots._backend_skips[:pgfplots])
+end
+=#
+##
+
+@testset "Backends" begin
+
+    @testset "GR" begin
+        ENV["PLOTS_TEST"] = "true"
+        ENV["GKSwstype"] = "100"
+        @test gr() == Plots.GRBackend()
+        @test backend() == Plots.GRBackend()
+
+        @static if haskey(ENV, "APPVEYOR")
+            @info "Skipping GR image comparison tests on AppVeyor"
+        else
+            image_comparison_facts(:gr, tol=img_tol, skip = Plots._backend_skips[:gr])
+        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
+        p = plot([1, 2], [3, 4])
+        annotate!(p, [(1.5, 3.2, Plots.text("Test", :red, :center))])
+        hline!(p, [3.1])
+        @test isa(p, Plots.Plot) == true
+        @test isa(display(p), Nothing) == true
+        p = plot([Dates.Date(2019, 1, 1), Dates.Date(2019, 2, 1)], [3, 4])
+        hline!(p, [3.1])
+        annotate!(p, [(Dates.Date(2019, 1, 15), 3.2, Plots.text("Test", :red, :center))])
+        @test isa(p, Plots.Plot) == true
+        @test isa(display(p), Nothing) == true
+        p = plot([Dates.Date(2019, 1, 1), Dates.Date(2019, 2, 1)], [3, 4])
+        annotate!(p, [(Dates.Date(2019, 1, 15), 3.2, Plots.text("Test", :red, :center))])
+        hline!(p, [3.1])
+        @test isa(p, Plots.Plot) == true
+        @test isa(display(p), Nothing) == true
+    end
 
-    # 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
@@ -61,6 +137,7 @@ end
     for plt in plots
         display(plt)
     end
+    @test_nowarn plot(x->x^2,0,2)
 end
 
 @testset "EmptyAnim" begin
@@ -97,6 +174,6 @@ 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(Point.(z))...)), z)
+        @test isequal(collect(zip(Plots.unzip(GeometryTypes.Point.(z))...)), z)
     end
 end

test/test_pgfplotsx.jl

@@ -0,0 +1,272 @@
+using Plots, Test
+pgfplotsx()
+
+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)
+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")
+
+   @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
+
+      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