remove mkdir call in tests; closes #397

unicodeplots size fix
plotly ticks fix
2016-07-22 11:18:47 -04:00 · 2016-07-22 09:45:44 -04:00 · 2016-07-21 11:01:04 -04:00
50 changed files with 3151 additions and 9354 deletions
@@ -2,9 +2,10 @@
 language: julia
 os:
  - linux
-  # - osx
+  - osx
 julia:
-  - 0.6
+  - release
+  - nightly
 matrix:
  allow_failures:
    - julia: nightly
@@ -3,385 +3,11 @@

 #### 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)
- All new development should target Julia 0.7!
-
-## 0.17.4
- fix thickness_scaling for pyplot
-
-## 0.17.3
- Log-scale heatmap edge computation
- Fix size and dpi for GR and PyPlot
- Fix fillrange with line segments on PyPlot and Plotly
- fix flip for heatmap and image on GR
- New attributes for PGFPlots
- Widen axes for most series types and log scales
- Plotly: fix log scale with no ticks
- Fix axis flip on Plotly
- Fix hover and zcolor interaction in Plotly
- WebIO integration for PlotlyJS backend
-
-## 0.17.2
- fix single subplot in plotly
- implement `(xyz)lims = :round`
- PyPlot: fix bg_legend = invisible()
- set fallback tick specification for axes with discrete values
- restructure of show methods
-
-## 0.17.1
- Fix contour for PGFPlots
- 32Bit fix: Int64 -> Int
- Make series of shapes and segments toggle together in Plotly(JS)
- Fix marker arguments
- Fix processing order of series recipes
- Fix Plotly(JS) ribbon
- Contour plots with x,y in grid form on PyPlot
-
-## 0.17.0
- Add GR dependency to make it the default backend
- Improve histogram2d bin estimation
- Allow vector arguments for certain series attributes and support line_z and fill_z on GR, PyPlot, Plotly(JS) and PGFPlots
- Automatic scientific notation for tick labels
- Allow to set the theme in PLOTS_DEFAULTS
- Implement plots_heatmap seriestype providing a Plots recipe for heatmaps
-
-## 0.16.0
- fix 3D plotting in PyPlot
- Infinite objects
-
-## 0.15.1
-
- fix scientific notation for labels in GR
- fix labels with logscale
- fix image cropping with GR
- fix grouping of annotations
- fix annotations in Plotly
- allow saving notebook with plots as pdf from IJulia
- fix fillrange and ribbon for step recipes
- implement native ticks that respond to zoom
- fix bar plot with one bar
- contour labels and colorbar fixes
- interactive linked axis for PyPlot
- add `NamedTuple` syntax to group with named legend
- use bar recipe in Plotly
- implement categorical ticks
-
-## 0.15.0
-
- improve resolution of png output of GR with savefig()
- add check for ticks=nothing
- allow transparency in heatmaps
- fix line_z for GR
- fix legendcolor for pyplot
- fix pyplot ignoring alpha values of images
- don't let `abline!` change subplot limits
- update showtheme recipe
-
-## 0.14.2
-
- fix plotly bar lines bug
- allow passing multiple series to `ribbon`
- add a new example for `line_z`
-
-## 0.14.1
-
- Add linestyle argument to the legend
- Plotly: bar_width and stroke_width support for bar plots
- abline! does not change axis limits
- Fix default log scale ticks in GR backend
- Use the :fontsize keys so the scalefontsizes command works
- Prepare support for new PlotTheme type in PlotThemes
-
-## 0.14.0
-
- remove use of imagemagick; saving gifs now requires ffmpeg
- improvements to ffmpeg gif quality and speed
- overhaul of fonts, allows setting fonts in recipes and with magic arguments
- added `camera` attribute to control camera position for 3d plots
- added `showaxis` attribute to control which axes to display
- improvements of polar plots axes, and better backend consistency
- changed the 'spy' recipe back to using heatmap
- added `scatterpath` seriestype
- allow plotlyjs to save svg
- add `reset_defaults()` function to reset plot defaults
- update syntax to 0.6
- make `fill = true` fill to 0 rather than to 1
- use new `@df` syntax in StatPlots examples
- allow changing the color of legend box
- implement `title_location` for gr
- add `hline` marker to pgfplots - fixes errorbars
- pyplot legends now show marker types
- pyplot colorbars take font style from y axis
- pyplot tickmarks color the same as axis color
- allow setting linewidth for contour in gr
- allow legend to be outside plot area for pgfplots
- expand axis extrema for heatmap
- extendg grid lines to axis limits
- fix `line_z` for pyplot and gr
- fixed colorbar problem for flipped axes with gr
- fix marker_z for 3d plots in gr
- fix `weights` functionality for histograms
- fix gr annotations with colorbar
- fix aspect ratio in gr
- fix "hidden window" problem after savefig in gr
- fix pgfplots logscale ticks error
- fix pgfplots legends symbols
- fix axis linking for plotlyjs
- fix plotting of grayscale images
-
-## 0.13.1
-
- fix a bug when passing a vector of functions with no bounds (e.g. `plot([sin, cos])`)
- export `pct` and `px` from Plots.PlotMeasures
-
-## 0.13.0
-
- support `plotattributes` rather than `d` in recipes
- no longer export `w`, `h` and names from Measures.jl; use `using Plots.PlotMeasures` to get these names back
- `bar_width` now depends on the minimum distance between bars, not the mean
- better automatic x axis limits for plotting Functions
- `tick_direction` attribute now allows ticks to be on the inside of the plot border
- removed a bug where `p1 = plot(randn(10)); plot(p1, p2)` made `display(p1)` impossible
- allow `plot([])` to generate an empty plot
- add `origin` framestyle
- ensure finite bin number on histograms with only one unique value
- better automatic histogram bins for 2d histograms
- more informative error message on passing unsupported seriestype in a recipe
- allow grouping in user recipes
- GR now has `line_z` and `fill_z` attributes for determining the color of shapes and lines
- change GR default view angle for 3D plots to match that of PyPlot
- fix `clims` on GR
- fix `marker_z` for plotly backend
- implement `framestyle` for plotly
- fix logscale bug error for values < 1e-16 on pyplot
- fix an issue on pyplot where >1 colorbar would be shown if there was >1 series
- fix `writemime` for eps
-
-## 0.12.4
-
- added a new `framestyle` argument with choices: :box, :semi, :axes, :grid and :none
- changed the default bar width to 0.8
- added working ribbon to plotly backend
- ensure that automatic ticks always generate 4 to 8 ticks
- group now groups keyword arguments of the same length as the input
- allow passing DateTime objects as ticks
- allow specifying the number of ticks as an integre
- fix bug on errorbars in gr
- fixed some but not all world age issues
- better margin with room for text
- added a `match` option for linecolor
- better error message un unsupported series types
- add a 'stride' keyword for the pyplot backend
-
-## 0.12.3
-
- new grid line style defaults
- `grid` is now an axis attribute and a magic argument: it is now possible to modify the grid line style, alpha and line width
- Enforce plot order in user recipes
- import `plot!` from RecipesBase
- GR no longer automatically handles _ and ^ in texts
- fix GR colorbar for scatter plots
-
-#### 0.12.2
-
- fix an issue with Juno/PlotlyJS compatibility on new installations
- fix markers not showing up in seriesrecipes using :scatter
- don't use pywrap in the pyplot backend
- improve the bottom margin for the gr backend
-
-#### 0.12.1
-
- fix deprecation warnings
- switch from FixedSizeArrays to StaticArrays.FixedSizeArrays
- drop FactCheck in tests
- remove julia 0.5 compliant uses of transpose operator
- fix GR heatmap bugs
- fix GR guide padding
- improve legend markers in GR
- add surface alpha for Plotly(JS)
- add fillrange to Plotly(JS)
- allow usage of Matplotlib 1.5 with PyPlot
- fix GLVisualize for julia 0.6
- conform to changes in InspectDR
-
-#### 0.12.0
-
- 0.6 only
-
-#### 0.11.3
-
- add HDF5 backend
- GR replaces PyPlot as first-choice backend
- support for legend position in GR
- smaller markers in GR
- better viewport size in GR
- fix glvisualize support
- remove bug with three-argument method of `text`
- `legendtitle` attribute added
- add test for `spy`
-
-#### 0.11.0
-
- julia 0.6 compatibility
- matplotlib 2.0 compatibility
- add inspectdr backend
- improved histogram functionality:
- added a `:stephist` and `:scatterhist` series type as well as ``:barhist` (the default)
- support for log scale axes with histograms
- support for plotting `StatsBase.Histogram`
- allowing bins to be specified as `:sturges`, `:rice`, `:scott` or :fd
- allow `normalization` to be specified as :density (for unequal bins) or :pdf (sum to 1)
- add a `plotattr` function to access documentation for Plots attribute
- add `fill_z` attribute for pyplot
- add colorbar_title to plotlyjs
- enable standalone window for plotlyjs
- improved support for pgfplots, ticks rotation, clims, series_annotations
- restore colorbars for GR
- better axis labels for heatmap in GR
- better marker sizes in GR
- fix color representation in GR
- update GR legend
- fix image bug on GR
- fix glvisualize dependencies
- set dotted grid lines for pyplot
- several improvements to inspectdr
- improved tick positions for TimeType x axes
- support for improved color gradient capability in PlotUtils
- add a showlibrary recipe to display color libraries
- add a showgradient recipe to display color gradients
- add `vectorfield` as an alias for `quiver`
- use `PlotUtils.adaptedgrid` for functions
-
-
-#### 0.9.5
-
- added dependency on PlotThemes
- set_theme --> theme
- remove Compat from REQUIRE
- warning for DataFrames without StatPlots
- closeall exported and implemented for gr/pyplot
- fix DateTime recipe
- reset theme with theme(:none)
- fix link_axes! for nested subplots
- fix plotly lims for log scale
-
-#### 0.9.4
-
- optimizations surrounding Subplot.series_list
- better Atom support, support plotlyjs
- gr:
-    - gks_wstype defaults and gr_set_output
-    - heatmap uses GR.drawimage
- histogram2d puts NaN for zeros
- improved support of NaN in heatmaps
- rebuilt spy recipes to output scatters with marker_z set
- deprecate png support in plotly... point to plotlyjs
- fixes:
-    - axis widen with lims set
-    - reset_extrema, setxyz
-    - bar plot widen
-    - better tick padding
-    - consistent tick rotation
-    - consistent aspect_ratio
-    - pyplot dpi
-    - plotly horizontal bars
-    - handle series attributes when combining subplots
-    - gr images transposed
-    - converted Date/DateTime to new type recipe approach for arrays
- issues closed include: #505 #513 #479 #523 #526 #529
-
-#### 0.9.3
-
- support pdf and eps in plotlyjs backend
- allow curly after grid: `@layout [a b; grid(4,4){0.8h}]`
- add_backend redesign
-
-#### 0.9.2
-
- glvisualize backend (@SimonDanisch)
-    - too much to list! ready for alpha testing
- Volume and volume seriestype
- Atom: support for PlotPane and proper gui display
- gr:
-    - clims
-    - aspect ratio
- pgfplots:
-    - fixes for ticks, axes, and more
- pyplot:
-    - font families
-    - colorbar guide
-    - pixel marker
- unicodeplots
-    - basic support for shapes
- improved add_backend
- refactor of is_supported methods
- element-wise type recipes (see https://github.com/tbreloff/Plots.jl/issues/460#issuecomment-248428908)
- several other fixes/improvements
-
-#### 0.9.1
-
- Pkg.dir --> dirname (@tkelman)
- `axis = nothing` magic
- fixes:
-    - clim for line_z
-    - sticks default range for log scale
-    - rotate method
-    - pyplot heatmap
-    - spurious scale warnings
-    - gr image/alpha
-    - plotly.js path
-    - orientation extrema
-    - bar, reset orientation
- switch transpose_z to use permutedims
- skinny x/+ markers
- ticks in pgfplots
- eps in savefig (@anriseth)
- add_backend convenience
- type recipes for Date/DateTime (@maximsch2)
- mirror attribute and twinx convenience
- Axis.sp --> Axis.sps
- recipe postprocessing for allowing aliases and magic args in recipe bodies
-
-
-
-#### 0.9.0
-
- fixes to cycle
- add back single function recipe: `plot!(cos)`
- new axis formatter attribute... accepts functions to convert numbers to strings
- fix for inset plots
- GR:
-	- fillrange fix
-	- annotations fix
-	- force double buffering in display
+- All new development should target 0.7!

 ---

-## 0.8
-
-#### 0.8.2 (backported bug fixes for julia 0.4)
-
- plotly ticks fix
- unicodeplots size fix
- remove mkdir call in tests
-
-#### 0.8.1
-
- manual drawing of axes/ticks/labels
- get_ticks uses optimize_ticks and Showoff
- changed PLOTS_DEFAULTS to be a global variable, not ENV key
- parameterized Segments for pushing tuples
- fix to axis extrema for Bool/nothing
- GR:
-	- manually draw 2D axes... fixes several issues and missing features
-	- fontsize fix
- PGFPlots: pass axis syle
+## 0.8 (current master/dev)

 #### 0.8.0

@@ -578,7 +204,7 @@
 - z-axis keywords
 - 3D indexing overhaul: `push!`, `append!` support
 - matplotlib colormap constants (`:inferno` is the new default colormap for Plots)
- `const KW = Dict{Symbol,Any}` used in place of splatting in many places
+- `typealias KW Dict{Symbol,Any}` used in place of splatting in many places
 - png generation for plotly backend using wkhtmltoimage
 - `normalize` and `weights` keywords
 - background/foreground subcategories for fine-tuning of looks
@@ -1,16 +1,13 @@
 # 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)
+[![Build Status](https://travis-ci.org/tbreloff/Plots.jl.svg?branch=master)](https://travis-ci.org/tbreloff/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)
 <!-- [![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) -->

-#### Created by Tom Breloff (@tbreloff)
-
-#### Maintained by the [JuliaPlot members](https://github.com/orgs/JuliaPlots/people)
+#### Author: Thomas Breloff (@tbreloff)

 Plots is a plotting API and toolset.  My goals with the package are:

@@ -22,4 +19,4 @@ Plots is a plotting API and toolset.  My goals with the package are:
 - **Lightweight**.  Very few dependencies.
 - **Smart**. Attempts to figure out what you **want** it to do... not just what you **tell** it.

-View the [full documentation](http://docs.juliaplots.org/latest).
+View the [full documentation](http://juliaplots.github.io).
@@ -1,16 +1,9 @@
-julia 0.6
+julia 0.4

-RecipesBase 0.2.3
-PlotUtils 0.4.1
-PlotThemes 0.1.3
+RecipesBase
+PlotUtils
 Reexport
-StaticArrays 0.5
-FixedPointNumbers 0.3
+Compat
+FixedSizeArrays
 Measures
 Showoff
-StatsBase 0.14.0
-JSON
-NaNMath
-Requires
-Contour
-GR 0.31.0
@@ -1,15 +1,11 @@
 environment:
  matrix:
-  - JULIA_URL: "https://julialang-s3.julialang.org/bin/winnt/x86/0.6/julia-0.6-latest-win32.exe"
-  - JULIA_URL: "https://julialang-s3.julialang.org/bin/winnt/x64/0.6/julia-0.6-latest-win64.exe"
-  - JULIA_URL: "https://julialangnightlies-s3.julialang.org/bin/winnt/x86/julia-latest-win32.exe"
-  - JULIA_URL: "https://julialangnightlies-s3.julialang.org/bin/winnt/x64/julia-latest-win64.exe"
-
-matrix:
-  allow_failures:
-  - JULIA_URL: "https://julialang-s3.julialang.org/bin/winnt/x86/0.6/julia-0.6-latest-win32.exe" #check and address
-  - JULIA_URL: "https://julialangnightlies-s3.julialang.org/bin/winnt/x86/julia-latest-win32.exe"
-  - JULIA_URL: "https://julialangnightlies-s3.julialang.org/bin/winnt/x64/julia-latest-win64.exe"
+# Releases
+  - JULIAVERSION: "stable/win32"
+  - JULIAVERSION: "stable/win64"
+# Nightlies
+  - JULIAVERSION: "download/win32"
+  - JULIAVERSION: "download/win64"

 notifications:
  - provider: Email
@@ -18,14 +14,8 @@ notifications:
    on_build_status_changed: false

 install:
-  - ps: "[System.Net.ServicePointManager]::SecurityProtocol = [System.Net.SecurityProtocolType]::Tls12"
-# If there's a newer build queued for the same PR, cancel this one
-  - ps: if ($env:APPVEYOR_PULL_REQUEST_NUMBER -and $env:APPVEYOR_BUILD_NUMBER -ne ((Invoke-RestMethod `
-        https://ci.appveyor.com/api/projects/$env:APPVEYOR_ACCOUNT_NAME/$env:APPVEYOR_PROJECT_SLUG/history?recordsNumber=50).builds | `
-        Where-Object pullRequestId -eq $env:APPVEYOR_PULL_REQUEST_NUMBER)[0].buildNumber) { `
-        throw "There are newer queued builds for this pull request, failing early." }
 # Download most recent Julia Windows binary
-  - ps: (new-object net.webclient).DownloadFile($env:JULIA_URL, "C:\projects\julia-binary.exe")
+  - ps: (new-object net.webclient).DownloadFile($("http://status.julialang.org/"+$env:JULIAVERSION), "C:\projects\julia-binary.exe")
 # Run installer silently, output to C:\projects\julia
  - C:\projects\julia-binary.exe /S /D=C:\projects\julia

@@ -36,4 +26,4 @@ build_script:

 test_script:
  # - C:\projects\julia\bin\julia -e "Pkg.test(\"Plots\")"
-  - C:\projects\julia\bin\julia -e "include(Pkg.dir(\"Plots\", \"test\", \"travis_commands.jl\"))"
+  - C:\projects\julia\bin\julia -e "include(Pkg.dir(\"Plots\", \"test\", \"travis_commands.jl\"))"
@@ -1,41 +1,46 @@
-__precompile__(true)
+
+__precompile__()

 module Plots

+using Compat
 using Reexport
-
-import StaticArrays
-using StaticArrays.FixedSizeArrays
-
+# @reexport using Colors
+# using Requires
+using FixedSizeArrays
@reexport using RecipesBase
-import RecipesBase: plot, plot!, animate
 using Base.Meta
@reexport using PlotUtils
-@reexport using PlotThemes
 import Showoff
-import StatsBase
-import JSON
-
-using Requires

 export
+    AbstractPlot,
+    Plot,
+    Subplot,
+    AbstractLayout,
+    GridLayout,
    grid,
+    EmptyLayout,
    bbox,
    plotarea,
    @layout,
+    AVec,
+    AMat,
    KW,

    wrap,
-    theme,
+    set_theme,
+    add_theme,

    plot,
    plot!,
-    attr!,

    current,
    default,
    with,
-    twinx,
+
+    @userplot,
+    @shorthands,

    pie,
    pie!,
@@ -55,46 +60,44 @@ export
    yflip!,
    xaxis!,
    yaxis!,
-    xgrid!,
-    ygrid!,
-
-    xlims,
-    ylims,
-    zlims,

    savefig,
    png,
    gui,
-    inline,
-    closeall,

    backend,
    backends,
    backend_name,
-    backend_object,
-    add_backend,
    aliases,
+    dataframes,

    Shape,
    text,
    font,
+    Axis,
    stroke,
    brush,
    Surface,
    OHLC,
    arrow,
    Segments,
-    Formatted,
+
+    debugplots,
+
+    supported_args,
+    supported_types,
+    supported_styles,
+    supported_markers,
+    is_subplot_supported,

    Animation,
    frame,
    gif,
-    mov,
-    mp4,
-    animate,
    @animate,
    @gif,

+    spy,
+
    test_examples,
    iter_segments,
    coords,
@@ -107,55 +110,23 @@ export
    P2,
    P3,
    BezierCurve,
-
-    plotattr
+    curve_points,
+    directed_curve

 # ---------------------------------------------------------

-import NaNMath # define functions that ignores NaNs. To overcome the destructive effects of https://github.com/JuliaLang/julia/pull/12563
-ignorenan_minimum(x::AbstractArray{F}) where {F<:AbstractFloat} = NaNMath.minimum(x)
-ignorenan_minimum(x) = Base.minimum(x)
-ignorenan_maximum(x::AbstractArray{F}) where {F<:AbstractFloat} = NaNMath.maximum(x)
-ignorenan_maximum(x) = Base.maximum(x)
-ignorenan_mean(x::AbstractArray{F}) where {F<:AbstractFloat} = NaNMath.mean(x)
-ignorenan_mean(x) = Base.mean(x)
-ignorenan_extrema(x::AbstractArray{F}) where {F<:AbstractFloat} = NaNMath.extrema(x)
-ignorenan_extrema(x) = Base.extrema(x)
-
-# ---------------------------------------------------------
-
-# to cater for block matrices, Base.transpose is recursive.
-# This makes it impossible to create row vectors of String and Symbol with the transpose operator.
-# This solves this issue, internally in Plots at least.
-
-
-# commented out on the insistence of the METADATA maintainers
-
-#Base.transpose(x::Symbol) = x
-#Base.transpose(x::String) = x
-
-# ---------------------------------------------------------
-
-import Measures
-module PlotMeasures
 import Measures
 import Measures: Length, AbsoluteLength, Measure, BoundingBox, mm, cm, inch, pt, width, height, w, h
-const BBox = Measures.Absolute2DBox
+typealias BBox Measures.Absolute2DBox
+export BBox, BoundingBox, mm, cm, inch, pt, px, pct, w, h

-# allow pixels and percentages
-const px = AbsoluteLength(0.254)
-const pct = Length{:pct, Float64}(1.0)
-export BBox, BoundingBox, mm, cm, inch, px, pct, pt, w, h
-end
-
-using .PlotMeasures
-import .PlotMeasures: Length, AbsoluteLength, Measure, width, height
 # ---------------------------------------------------------

 include("types.jl")
 include("utils.jl")
 include("components.jl")
 include("axes.jl")
+include("backends.jl")
 include("args.jl")
 include("themes.jl")
 include("plot.jl")
@@ -165,31 +136,34 @@ include("layouts.jl")
 include("subplots.jl")
 include("recipes.jl")
 include("animation.jl")
+include("output.jl")
 include("examples.jl")
 include("arg_desc.jl")
-include("plotattr.jl")
-include("backends.jl")
-include("output.jl")
+

 # ---------------------------------------------------------

+# define and export shorthand plotting method definitions
+macro shorthands(funcname::Symbol)
+    funcname2 = Symbol(funcname, "!")
+    esc(quote
+        export $funcname, $funcname2
+        $funcname(args...; kw...) = plot(args...; kw..., seriestype = $(quot(funcname)))
+        $funcname2(args...; kw...) = plot!(args...; kw..., seriestype = $(quot(funcname)))
+    end)
+end
+
@shorthands scatter
@shorthands bar
@shorthands barh
@shorthands histogram
-@shorthands barhist
-@shorthands stephist
-@shorthands scatterhist
@shorthands histogram2d
@shorthands density
@shorthands heatmap
-@shorthands plots_heatmap
@shorthands hexbin
@shorthands sticks
@shorthands hline
@shorthands vline
-@shorthands hspan
-@shorthands vspan
@shorthands ohlc
@shorthands contour
@shorthands contourf
@@ -203,109 +177,80 @@ include("output.jl")
@shorthands quiver
@shorthands curves

-"Plot a pie diagram"
 pie(args...; kw...)        = plot(args...; kw...,  seriestype = :pie, aspect_ratio = :equal, grid=false, xticks=nothing, yticks=nothing)
 pie!(args...; kw...)       = plot!(args...; kw..., seriestype = :pie, aspect_ratio = :equal, grid=false, xticks=nothing, yticks=nothing)
-
-"Plot with seriestype :path3d"
 plot3d(args...; kw...)     = plot(args...; kw...,  seriestype = :path3d)
 plot3d!(args...; kw...)    = plot!(args...; kw..., seriestype = :path3d)

-"Add title to an existing plot"
+
 title!(s::AbstractString; kw...)                 = plot!(; title = s, kw...)
-
-"Add xlabel to an existing plot"
 xlabel!(s::AbstractString; kw...)                = plot!(; xlabel = s, kw...)
-
-"Add ylabel to an existing plot"
 ylabel!(s::AbstractString; kw...)                = plot!(; ylabel = s, kw...)
-
-"Set xlims for an existing plot"
-xlims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; xlims = lims, kw...)
-
-"Set ylims for an existing plot"
-ylims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; ylims = lims, kw...)
-
-"Set zlims for an existing plot"
-zlims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; zlims = lims, kw...)
-
+xlims!{T<:Real,S<:Real}(lims::Tuple{T,S}; kw...) = plot!(; xlims = lims, kw...)
+ylims!{T<:Real,S<:Real}(lims::Tuple{T,S}; kw...) = plot!(; ylims = lims, kw...)
+zlims!{T<:Real,S<:Real}(lims::Tuple{T,S}; kw...) = plot!(; zlims = lims, kw...)
 xlims!(xmin::Real, xmax::Real; kw...)                     = plot!(; xlims = (xmin,xmax), kw...)
 ylims!(ymin::Real, ymax::Real; kw...)                     = plot!(; ylims = (ymin,ymax), kw...)
 zlims!(zmin::Real, zmax::Real; kw...)                     = plot!(; zlims = (zmin,zmax), kw...)
-
-
-"Set xticks for an existing plot"
-xticks!(v::AVec{T}; kw...) where {T<:Real}                       = plot!(; xticks = v, kw...)
-
-"Set yticks for an existing plot"
-yticks!(v::AVec{T}; kw...) where {T<:Real}                       = plot!(; yticks = v, kw...)
-
-xticks!(
-ticks::AVec{T}, labels::AVec{S}; kw...) where {T<:Real,S<:AbstractString}     = plot!(; xticks = (ticks,labels), kw...)
-yticks!(
-ticks::AVec{T}, labels::AVec{S}; kw...) where {T<:Real,S<:AbstractString}     = plot!(; yticks = (ticks,labels), kw...)
-
-"Add annotations to an existing plot"
+xticks!{T<:Real}(v::AVec{T}; kw...)                       = plot!(; xticks = v, kw...)
+yticks!{T<:Real}(v::AVec{T}; kw...)                       = plot!(; yticks = v, kw...)
+xticks!{T<:Real,S<:AbstractString}(
+              ticks::AVec{T}, labels::AVec{S}; kw...)     = plot!(; xticks = (ticks,labels), kw...)
+yticks!{T<:Real,S<:AbstractString}(
+              ticks::AVec{T}, labels::AVec{S}; kw...)     = plot!(; yticks = (ticks,labels), kw...)
 annotate!(anns...; kw...)                                 = plot!(; annotation = anns, kw...)
-annotate!(anns::AVec{T}; kw...) where {T<:Tuple}                 = plot!(; annotation = anns, kw...)
-
-"Flip the current plots' x axis"
+annotate!{T<:Tuple}(anns::AVec{T}; kw...)                 = plot!(; annotation = anns, kw...)
 xflip!(flip::Bool = true; kw...)                          = plot!(; xflip = flip, kw...)
-
-"Flip the current plots' y axis"
 yflip!(flip::Bool = true; kw...)                          = plot!(; yflip = flip, kw...)
-
-"Specify x axis attributes for an existing plot"
 xaxis!(args...; kw...)                                    = plot!(; xaxis = args, kw...)
-
-"Specify x axis attributes for an existing plot"
 yaxis!(args...; kw...)                                    = plot!(; yaxis = args, kw...)
-xgrid!(args...; kw...)                                    = plot!(; xgrid = args, kw...)
-ygrid!(args...; kw...)                                    = plot!(; ygrid = args, kw...)

-let PlotOrSubplot = Union{Plot, Subplot}
-    title!(plt::PlotOrSubplot, s::AbstractString; kw...)                  = plot!(plt; title = s, kw...)
-    xlabel!(plt::PlotOrSubplot, s::AbstractString; kw...)                 = plot!(plt; xlabel = s, kw...)
-    ylabel!(plt::PlotOrSubplot, s::AbstractString; kw...)                 = plot!(plt; ylabel = s, kw...)
-    xlims!(plt::PlotOrSubplot, lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real}  = plot!(plt; xlims = lims, kw...)
-    ylims!(plt::PlotOrSubplot, lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real}  = plot!(plt; ylims = lims, kw...)
-    zlims!(plt::PlotOrSubplot, lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real}  = plot!(plt; zlims = lims, kw...)
-    xlims!(plt::PlotOrSubplot, xmin::Real, xmax::Real; kw...)             = plot!(plt; xlims = (xmin,xmax), kw...)
-    ylims!(plt::PlotOrSubplot, ymin::Real, ymax::Real; kw...)             = plot!(plt; ylims = (ymin,ymax), kw...)
-    zlims!(plt::PlotOrSubplot, zmin::Real, zmax::Real; kw...)             = plot!(plt; zlims = (zmin,zmax), kw...)
-    xticks!(plt::PlotOrSubplot, ticks::AVec{T}; kw...) where {T<:Real}           = plot!(plt; xticks = ticks, kw...)
-    yticks!(plt::PlotOrSubplot, ticks::AVec{T}; kw...) where {T<:Real}           = plot!(plt; yticks = ticks, kw...)
-    xticks!(plt::PlotOrSubplot,
-   ticks::AVec{T}, labels::AVec{S}; kw...) where {T<:Real,S<:AbstractString}     = plot!(plt; xticks = (ticks,labels), kw...)
-    yticks!(plt::PlotOrSubplot,
-   ticks::AVec{T}, labels::AVec{S}; kw...) where {T<:Real,S<:AbstractString}     = plot!(plt; yticks = (ticks,labels), kw...)
-    xgrid!(plt::PlotOrSubplot, args...; kw...)                  = plot!(plt; xgrid = args, kw...)
-    ygrid!(plt::PlotOrSubplot, args...; kw...)                  = plot!(plt; ygrid = args, kw...)
-    annotate!(plt::PlotOrSubplot, anns...; kw...)                         = plot!(plt; annotation = anns, kw...)
-    annotate!(plt::PlotOrSubplot, anns::AVec{T}; kw...) where {T<:Tuple}         = plot!(plt; annotation = anns, kw...)
-    xflip!(plt::PlotOrSubplot, flip::Bool = true; kw...)                  = plot!(plt; xflip = flip, kw...)
-    yflip!(plt::PlotOrSubplot, flip::Bool = true; kw...)                  = plot!(plt; yflip = flip, kw...)
-    xaxis!(plt::PlotOrSubplot, args...; kw...)                            = plot!(plt; xaxis = args, kw...)
-    yaxis!(plt::PlotOrSubplot, args...; kw...)                            = plot!(plt; yaxis = args, kw...)
-end
+title!(plt::Plot, s::AbstractString; kw...)                  = plot!(plt; title = s, kw...)
+xlabel!(plt::Plot, s::AbstractString; kw...)                 = plot!(plt; xlabel = s, kw...)
+ylabel!(plt::Plot, s::AbstractString; kw...)                 = plot!(plt; ylabel = s, kw...)
+xlims!{T<:Real,S<:Real}(plt::Plot, lims::Tuple{T,S}; kw...)  = plot!(plt; xlims = lims, kw...)
+ylims!{T<:Real,S<:Real}(plt::Plot, lims::Tuple{T,S}; kw...)  = plot!(plt; ylims = lims, kw...)
+zlims!{T<:Real,S<:Real}(plt::Plot, lims::Tuple{T,S}; kw...)  = plot!(plt; zlims = lims, kw...)
+xlims!(plt::Plot, xmin::Real, xmax::Real; kw...)                      = plot!(plt; xlims = (xmin,xmax), kw...)
+ylims!(plt::Plot, ymin::Real, ymax::Real; kw...)                      = plot!(plt; ylims = (ymin,ymax), kw...)
+zlims!(plt::Plot, zmin::Real, zmax::Real; kw...)                      = plot!(plt; zlims = (zmin,zmax), kw...)
+xticks!{T<:Real}(plt::Plot, ticks::AVec{T}; kw...)                    = plot!(plt; xticks = ticks, kw...)
+yticks!{T<:Real}(plt::Plot, ticks::AVec{T}; kw...)                    = plot!(plt; yticks = ticks, kw...)
+xticks!{T<:Real,S<:AbstractString}(plt::Plot,
+                          ticks::AVec{T}, labels::AVec{S}; kw...)     = plot!(plt; xticks = (ticks,labels), kw...)
+yticks!{T<:Real,S<:AbstractString}(plt::Plot,
+                          ticks::AVec{T}, labels::AVec{S}; kw...)     = plot!(plt; yticks = (ticks,labels), kw...)
+annotate!(plt::Plot, anns...; kw...)                                  = plot!(plt; annotation = anns, kw...)
+annotate!{T<:Tuple}(plt::Plot, anns::AVec{T}; kw...)                  = plot!(plt; annotation = anns, kw...)
+xflip!(plt::Plot, flip::Bool = true; kw...)                           = plot!(plt; xflip = flip, kw...)
+yflip!(plt::Plot, flip::Bool = true; kw...)                           = plot!(plt; yflip = flip, kw...)
+xaxis!(plt::Plot, args...; kw...)                                     = plot!(plt; xaxis = args, kw...)
+yaxis!(plt::Plot, args...; kw...)                                     = plot!(plt; yaxis = args, kw...)
+


 # ---------------------------------------------------------

 const CURRENT_BACKEND = CurrentBackend(:none)

-# for compatibility with Requires.jl:
-@init begin
+function __init__()
+    setup_ijulia()
+    setup_atom()
+
    if isdefined(Main, :PLOTS_DEFAULTS)
-        if haskey(Main.PLOTS_DEFAULTS, :theme)
-            theme(Main.PLOTS_DEFAULTS[:theme])
-        end
        for (k,v) in Main.PLOTS_DEFAULTS
-            k == :theme || default(k, v)
+            default(k, v)
        end
    end
 end

 # ---------------------------------------------------------

+# if VERSION >= v"0.4.0-dev+5512"
+#     include("precompile.jl")
+#     _precompile_()
+# end
+
+# ---------------------------------------------------------
+
 end # module
@@ -1,108 +1,62 @@
-"Represents an animation object"
-struct Animation
-    dir::String
-    frames::Vector{String}
+
+immutable Animation
+  dir::Compat.ASCIIString
+  frames::Vector{Compat.ASCIIString}
 end

 function Animation()
-    tmpdir = convert(String, mktempdir())
-    Animation(tmpdir, String[])
+  tmpdir = convert(Compat.ASCIIString, mktempdir())
+  Animation(tmpdir, Compat.ASCIIString[])
 end

-"""
-    frame(animation[, plot])
-
-Add a plot (the current plot if not specified) to an existing animation
-"""
-function frame(anim::Animation, plt::P=current()) where P<:AbstractPlot
-    i = length(anim.frames) + 1
-    filename = @sprintf("%06d.png", i)
-    png(plt, joinpath(anim.dir, filename))
-    push!(anim.frames, filename)
+function frame{P<:AbstractPlot}(anim::Animation, plt::P=current())
+  i = length(anim.frames) + 1
+  filename = @sprintf("%06d.png", i)
+  png(plt, joinpath(anim.dir, filename))
+  push!(anim.frames, filename)
 end

-giffn() = (isijulia() ? "tmp.gif" : tempname()*".gif")
-movfn() = (isijulia() ? "tmp.mov" : tempname()*".mov")
-mp4fn() = (isijulia() ? "tmp.mp4" : tempname()*".mp4")
-
-mutable struct FrameIterator
-    itr
-    every::Int
-    kw
-end
-FrameIterator(itr; every=1, kw...) = FrameIterator(itr, every, kw)
-
-"""
-Animate from an iterator which returns the plot args each iteration.
-"""
-function animate(fitr::FrameIterator, fn = giffn(); kw...)
-    anim = Animation()
-    for (i, plotargs) in enumerate(fitr.itr)
-        if mod1(i, fitr.every) == 1
-            plot(wraptuple(plotargs)...; fitr.kw...)
-            frame(anim)
-        end
-    end
-    gif(anim, fn; kw...)
-end
-
-# most things will implement this
-function animate(obj, fn = giffn(); every=1, fps=20, loop=0, kw...)
-    animate(FrameIterator(obj, every, kw), fn; fps=fps, loop=loop)
-end

 # -----------------------------------------------

 "Wraps the location of an animated gif so that it can be displayed"
-struct AnimatedGif
-    filename::String
+immutable AnimatedGif
+  filename::Compat.ASCIIString
 end

-file_extension(fn) = Base.Filesystem.splitext(fn)[2][2:end]
+function gif(anim::Animation, fn = (isijulia() ? "tmp.gif" : tempname()*".gif"); fps::Integer = 20)
+  fn = abspath(fn)

-gif(anim::Animation, fn = giffn(); kw...) = buildanimation(anim.dir, fn; kw...)
-mov(anim::Animation, fn = movfn(); kw...) = buildanimation(anim.dir, fn, false; kw...)
-mp4(anim::Animation, fn = mp4fn(); kw...) = buildanimation(anim.dir, fn, false; kw...)
+  try

-
-function buildanimation(animdir::AbstractString, fn::AbstractString,
-                        is_animated_gif::Bool=true;
-                        fps::Integer = 20, loop::Integer = 0,
-                        variable_palette::Bool=false,
-                        show_msg::Bool=true)
-    fn = abspath(fn)
-
-    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"
-            run(`ffmpeg -v 0 -framerate $fps -loop $loop -i $(animdir)/%06d.png -lavfi "$palette" -y $fn`)
-        else
-            # generate a colorpalette first so ffmpeg does not have to guess it
-            run(`ffmpeg -v 0 -i $(animdir)/%06d.png -vf "palettegen=stats_mode=diff" -y "$(animdir)/palette.bmp"`)
-            # then apply the palette to get better results
-            run(`ffmpeg -v 0 -framerate $fps -loop $loop -i $(animdir)/%06d.png -i "$(animdir)/palette.bmp" -lavfi "paletteuse=dither=sierra2_4a" -y $fn`)
-        end
-    else
-        run(`ffmpeg -v 0 -framerate $fps -loop $loop -i $(animdir)/%06d.png -pix_fmt yuv420p -y $fn`)
+    # high quality
+    speed = round(Int, 100 / fps)
+    file = joinpath(Pkg.dir("ImageMagick"), "deps","deps.jl")
+    if isfile(file) && !haskey(ENV, "MAGICK_CONFIGURE_PATH")
+        include(file)
    end
+    # prefix = get(ENV, "MAGICK_CONFIGURE_PATH", "")
+    run(`convert -delay $speed -loop 0 $(joinpath(anim.dir, "*.png")) -alpha off $fn`)

-    show_msg && info("Saved animation to ", fn)
-    AnimatedGif(fn)
+  catch err
+    warn("""Tried to create gif using convert (ImageMagick), but got error: $err
+    ImageMagick can be installed by executing `Pkg.add("ImageMagick")`
+    Will try ffmpeg, but it's lower quality...)""")
+
+    # low quality
+    run(`ffmpeg -v 0 -framerate $fps -i $(anim.dir)/%06d.png -y $fn`)
+    # run(`ffmpeg -v warning -i  "fps=$fps,scale=320:-1:flags=lanczos"`)
+  end
+
+  info("Saved animation to ", fn)
+  AnimatedGif(fn)
 end



 # write out html to view the gif... note the rand call which is a hack so the image doesn't get cached
-function Base.show(io::IO, ::MIME"text/html", agif::AnimatedGif)
-    ext = file_extension(agif.filename)
-    write(io, if ext == "gif"
-        "<img src=\"$(relpath(agif.filename))?$(rand())>\" />"
-    elseif ext in ("mov", "mp4")
-        "<video controls><source src=\"$(relpath(agif.filename))?$(rand())>\" type=\"video/$ext\"></video>"
-    else
-        error("Cannot show animation with extension $ext: $agif")
-    end)
+function Base.writemime(io::IO, ::MIME"text/html", agif::AnimatedGif)
+    write(io, "<img src=\"$(relpath(agif.filename))?$(rand())>\" />")
 end


@@ -116,7 +70,6 @@ function _animate(forloop::Expr, args...; callgif = false)
  # add the call to frame to the end of each iteration
  animsym = gensym("anim")
  countersym = gensym("counter")
-  freqassert = :()
  block = forloop.args[2]

  # create filter
@@ -129,7 +82,7 @@ function _animate(forloop::Expr, args...; callgif = false)
    # filter every `freq` frames (starting with the first frame)
    @assert n == 2
    freq = args[2]
-    freqassert = :(@assert isa($freq, Integer) && $freq > 0)
+    @assert isa(freq, Integer) && freq > 0
    :(mod1($countersym, $freq) == 1)

  elseif args[1] == :when
@@ -149,7 +102,6 @@ function _animate(forloop::Expr, args...; callgif = false)

  # full expression:
  esc(quote
-    $freqassert             # if filtering, check frequency is an Integer > 0
    $animsym = Animation()  # init animation object
    $countersym = 1         # init iteration counter
    $forloop                # for loop, saving a frame after each iteration
@@ -170,7 +122,7 @@ Example:
 ```
 """
 macro gif(forloop::Expr, args...)
-    _animate(forloop, args...; callgif = true)
+  _animate(forloop, args...; callgif = true)
 end

 """
@@ -179,13 +131,13 @@ Collect one frame per for-block iteration and return an `Animation` object.
 Example:

 ```
-p = plot(1)
-anim = @animate for x=0:0.1:5
+  p = plot(1)
+  anim = @animate for x=0:0.1:5
    push!(p, 1, sin(x))
-end
-gif(anim)
+  end
+  gif(anim)
 ```
 """
 macro animate(forloop::Expr, args...)
-    _animate(forloop, args...)
+  _animate(forloop, args...)
 end
@@ -19,9 +19,9 @@ const _arg_desc = KW(
 :markersize        	=> "Number or AbstractVector. Size (radius pixels) of the markers.",
 :markerstrokestyle 	=> "Symbol. Style of the marker stroke (border).  Choose from $(_allStyles)",
 :markerstrokewidth 	=> "Number. Width of the marker stroke (border. in pixels)",
-:markerstrokecolor 	=> "Color Type. Color of the marker stroke (border).  `:match` will take the value from `:foreground_color_subplot`.",
+:markerstrokecolor 	=> "Color Type. Color of the marker stroke (border).  `:match` will take the value from `:seriescolor`.",
 :markerstrokealpha 	=> "Number in [0,1]. The alpha/opacity override for the marker stroke (border).  `nothing` (the default) means it will take the alpha value of markerstrokecolor.",
-:bins              	=> "Integer, NTuple{2,Integer}, AbstractVector or Symbol. Default is :auto (the Freedman-Diaconis rule). For histogram-types, defines the approximate number of bins to aim for, or the auto-binning algorithm to use (:sturges, :sqrt, :rice, :scott or :fd). For fine-grained control pass a Vector of break values, e.g. `linspace(extrema(x)..., 25)`",
+:bins              	=> "Integer, NTuple{2,Integer}, AbstractVector. For histogram-types, defines the number of bins, or the edges, of the histogram.",
 :smooth            	=> "Bool.  Add a regression line?",
 :group             	=> "AbstractVector. Data is split into a separate series, one for each unique value in `group`.",
 :x                 	=> "Various. Input data. First Dimension",
@@ -29,7 +29,6 @@ const _arg_desc = KW(
 :z                 	=> "Various. Input data. Third Dimension. May be wrapped by a `Surface` for surface and heatmap types.",
 :marker_z          	=> "AbstractVector, Function `f(x,y,z) -> z_value`, or nothing. z-values for each series data point, which correspond to the color to be used from a markercolor gradient.",
 :line_z          	=> "AbstractVector, Function `f(x,y,z) -> z_value`, or nothing. z-values for each series line segment, which correspond to the color to be used from a linecolor gradient.  Note that for N points, only the first N-1 values are used (one per line-segment).",
-:fill_z           => "Matrix{Float64} of the same size as z matrix, which specifies the color of the 3D surface; the default value is `nothing`.",
 :levels            	=> "Integer, NTuple{2,Integer}. Number of levels (or x-levels/y-levels) for a contour type.",
 :orientation       	=> "Symbol.  Horizontal or vertical orientation for bar types.  Values `:h`, `:hor`, `:horizontal` correspond to horizontal (sideways, anchored to y-axis), and `:v`, `:vert`, and `:vertical` correspond to vertical (the default).",
 :bar_position      	=> "Symbol.  Choose from `:overlay` (default), `:stack`.  (warning: May not be implemented fully)",
@@ -40,10 +39,9 @@ const _arg_desc = KW(
 :ribbon            	=> "Number or AbstractVector.  Creates a fillrange around the data points.",
 :quiver            	=> "AbstractVector or 2-Tuple of vectors.  The directional vectors U,V which specify velocity/gradient vectors for a quiver plot.",
 :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).",
+:normalize         	=> "Bool. Should normalize histogram types?  Trying for area == 1.",
 :weights           	=> "AbstractVector. Used in histogram types for weighted counts.",
 :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`.",
 :subplot           	=> "Integer (subplot index) or Subplot object.  The subplot that this series belongs to.",
 :series_annotations => "AbstractVector of String or PlotText.  These are annotations which are mapped to data points/positions.",
@@ -65,81 +63,48 @@ const _arg_desc = KW(
 :html_output_format       => "Symbol.  When writing html output, what is the format?  `:png` and `:svg` are currently supported.",
 :inset_subplots 		  => "nothing or vector of 2-tuple (parent,bbox).  optionally pass a vector of (parent,bbox) tuples which are the parent layout and the relative bounding box of inset subplots",
 :dpi 					  => "Number.  Dots Per Inch of output figures",
-:thickness_scaling        => "Number. Scale for the thickness of all line elements like lines, borders, axes, grid lines, ... defaults to 1.",
 :display_type 			  => "Symbol (`:auto`, `:gui`, or `:inline`).  When supported, `display` will either open a GUI window or plot inline.",
 :extra_kwargs 			  => "KW (Dict{Symbol,Any}).  Pass a map of extra keyword args which may be specific to a backend.",
-:fontfamily               => "String or Symbol.  Default font family for title, legend entries, tick labels and guides",

 # subplot args
 :title                    => "String. Subplot title.",
 :title_location           => "Symbol. Position of subplot title. Values: `:left`, `:center`, `:right`",
-:titlefontfamily          => "String or Symbol. Font family of subplot title.",
-:titlefontsize            => "Integer. Font pointsize of subplot title.",
-:titlefonthalign          => "Symbol. Font horizontal alignment of subplot title: :hcenter, :left, :right or :center",
-:titlefontvalign          => "Symbol. Font vertical alignment of subplot title: :vcenter, :top, :bottom or :center",
-:titlefontrotation        => "Real. Font rotation of subplot title",
-:titlefontcolor           => "Color Type. Font color of subplot title",
+:titlefont                => "Font. Font of subplot title.",
 :background_color_subplot => "Color Type or `:match` (matches `:background_color`).  Base background color of the subplot.",
 :background_color_legend  => "Color Type or `:match` (matches `:background_color_subplot`).  Background color of the legend.",
 :background_color_inside  => "Color Type or `:match` (matches `:background_color_subplot`).  Background color inside the plot area (under the grid).",
 :foreground_color_subplot => "Color Type or `:match` (matches `:foreground_color`).  Base foreground color of the subplot.",
 :foreground_color_legend  => "Color Type or `:match` (matches `:foreground_color_subplot`).  Foreground color of the legend.",
+:foreground_color_grid    => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of grid lines.",
 :foreground_color_title   => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of subplot title.",
 :color_palette            => "Vector of colors (cycle through) or color gradient (generate list from gradient) or `:auto` (generate a color list using `Colors.distiguishable_colors` and custom seed colors chosen to contrast with the background).  The color palette is a color list from which series colors are automatically chosen.",
 :legend                   => "Bool (show the legend?) or Symbol (legend position).  Symbol values: `:none`, `:best`, `:right`, `:left`, `:top`, `:bottom`, `:inside`, `:legend`, `:topright`, `:topleft`, `:bottomleft`, `:bottomright` (note: only some may be supported in each backend)",
-:legendfontfamily         => "String or Symbol. Font family of legend entries.",
-:legendfontsize           => "Integer. Font pointsize of legend entries.",
-:legendfonthalign         => "Symbol. Font horizontal alignment of legend entries: :hcenter, :left, :right or :center",
-: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",
 :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.",
+:grid                     => "Bool. Show the grid lines?",
 :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 `apect_ratio` x-units.",
+:aspect_ratio             => "Symbol (:equal) or Number (width to height ratio of plot area).",
 :margin                   => "Measure (multiply by `mm`, `px`, etc). Base for individual margins... not directly used.  Specifies the extra padding around subplots.",
 :left_margin              => "Measure (multiply by `mm`, `px`, etc) or `:match` (matches `:margin`).  Specifies the extra padding to the left of the subplot.",
 :top_margin               => "Measure (multiply by `mm`, `px`, etc) or `:match` (matches `:margin`).  Specifies the extra padding on the top of the subplot.",
 :right_margin             => "Measure (multiply by `mm`, `px`, etc) or `:match` (matches `:margin`).  Specifies the extra padding to the right of the subplot.",
 :bottom_margin            => "Measure (multiply by `mm`, `px`, etc) or `:match` (matches `:margin`).  Specifies the extra padding on the bottom of the subplot.",
 :subplot_index            => "Integer.  Internal (not set by user).  Specifies the index of this subplot in the Plot's `plt.subplot` list.",
-:colorbar_title           => "String.  Title of colorbar.",
-:framestyle               => "Symbol.  Style of the axes frame. Choose from $(_allFramestyles)",
-:camera                   => "NTuple{2, Real}. Sets the view angle (azimuthal, elevation) for 3D plots",

 # axis args
 :guide     				  => "String. Axis guide (label).",
-:lims      				  => "NTuple{2,Number} or Symbol. Force axis limits.  Only finite values are used (you can set only the right limit with `xlims = (-Inf, 2)` for example). `:round` widens the limit to the nearest round number ie. [0.1,3.6]=>[0.0,4.0]",
+:lims      				  => "NTuple{2,Number}. Force axis limits.  Only finite values are used (you can set only the right limit with `xlims = (-Inf, 2)` for example).",
 :ticks     				  => "Vector of numbers (set the tick values), Tuple of (tickvalues, ticklabels), or `:auto`",
 :scale     				  => "Symbol. Scale of the axis: `:none`, `:ln`, `:log2`, `:log10`",
 :rotation  				  => "Number. Degrees rotation of tick labels.",
 :flip      				  => "Bool.  Should we flip (reverse) the axis?",
-:formatter 				  => "Function, :scientific, or :auto. A method which converts a number to a string for tick labeling.",
-:tickfontfamily           => "String or Symbol. Font family of tick labels.",
-:tickfontsize             => "Integer. Font pointsize of tick labels.",
-:tickfonthalign           => "Symbol. Font horizontal alignment of tick labels: :hcenter, :left, :right or :center",
-:tickfontvalign           => "Symbol. Font vertical alignment of tick labels: :vcenter, :top, :bottom or :center",
-:tickfontrotation         => "Real. Font rotation of tick labels",
-:tickfontcolor            => "Color Type. Font color of tick labels",
-:guidefontfamily          => "String or Symbol. Font family of axes guides.",
-:guidefontsize            => "Integer. Font pointsize of axes guides.",
-:guidefonthalign          => "Symbol. Font horizontal alignment of axes guides: :hcenter, :left, :right or :center",
-:guidefontvalign          => "Symbol. Font vertical alignment of axes guides: :vcenter, :top, :bottom or :center",
-:guidefontrotation        => "Real. Font rotation of axes guides",
-:guidefontcolor           => "Color Type. Font color of axes guides",
+:tickfont  				  => "Font. Font of axis tick labels.",
+:guidefont 				  => "Font. Font of axis guide (label).",
 :foreground_color_axis    => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of axis ticks.",
 :foreground_color_border  => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of plot area border (spines).",
 :foreground_color_text    => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of tick labels.",
 :foreground_color_guide   => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of axis guides (axis labels).",
-:mirror                   => "Bool.  Switch the side of the tick labels (right or top).",
-:grid                     => "Bool, Symbol, String or `nothing`. Show the grid lines? `true`, `false`, `:show`, `:hide`, `:yes`, `:no`, `:x`, `:y`, `:z`, `:xy`, ..., `:all`, `:none`, `:off`",
-:foreground_color_grid    => "Color Type or `:match` (matches `:foreground_color_subplot`). Color of grid lines.",
-:gridalpha                => "Number in [0,1]. The alpha/opacity override for the grid lines.",
-:gridstyle                => "Symbol. Style of the grid lines. Choose from $(_allStyles)",
-:gridlinewidth            => "Number. Width of the grid lines (in pixels)",
-:tick_direction           => "Symbol.  Direction of the ticks. `:in` or `:out`",
-:showaxis                 => "Bool, Symbol or String.  Show the axis. `true`, `false`, `:show`, `:hide`, `:yes`, `:no`, `:x`, `:y`, `:z`, `:xy`, ..., `:all`, `:off`",
-:widen                    => "Bool. Widen the axis limits by a small factor to avoid cut-off markers and lines at the borders. Defaults to `true`.",
+
 )
@@ -23,13 +23,13 @@ function Axis(sp::Subplot, letter::Symbol, args...; kw...)
        lk = Symbol(letter, k)
        lv = _axis_defaults_byletter[lk]
        d[k] = (lv == :match ? v : lv)
-    end
+    end     

    # merge!(d, _axis_defaults)
    d[:discrete_values] = []

    # update the defaults
-    attr!(Axis([sp], d), args...; kw...)
+    update!(Axis(sp, d), args...; kw...)
 end

 function get_axis(sp::Subplot, letter::Symbol)
@@ -70,23 +70,17 @@ function process_axis_arg!(d::KW, arg, letter = "")
    elseif arg == nothing
        d[Symbol(letter,:ticks)] = []

-    elseif T <: Bool || arg in _allShowaxisArgs
-        d[Symbol(letter,:showaxis)] = showaxis(arg, letter)
-
    elseif typeof(arg) <: Number
        d[Symbol(letter,:rotation)] = arg

-    elseif typeof(arg) <: Function
-        d[Symbol(letter,:formatter)] = arg
-
-    elseif !handleColors!(d, arg, Symbol(letter, :foreground_color_axis))
+    else
        warn("Skipped $(letter)axis arg $arg")

    end
 end

 # update an Axis object with magic args and keywords
-function attr!(axis::Axis, args...; kw...)
+function update!(axis::Axis, args...; kw...)
    # first process args
    d = axis.d
    for arg in args
@@ -121,7 +115,7 @@ Base.show(io::IO, axis::Axis) = dumpdict(axis.d, "Axis", true)
 # Base.getindex(axis::Axis, k::Symbol) = getindex(axis.d, k)
 Base.setindex!(axis::Axis, v, ks::Symbol...) = setindex!(axis.d, v, ks...)
 Base.haskey(axis::Axis, k::Symbol) = haskey(axis.d, k)
-ignorenan_extrema(axis::Axis) = (ex = axis[:extrema]; (ex.emin, ex.emax))
+Base.extrema(axis::Axis) = (ex = axis[:extrema]; (ex.emin, ex.emax))


 const _scale_funcs = Dict{Symbol,Function}(
@@ -135,12 +129,6 @@ const _inv_scale_funcs = Dict{Symbol,Function}(
    :ln => exp,
 )

-# const _label_func = Dict{Symbol,Function}(
-#     :log10 => x -> "10^$x",
-#     :log2 => x -> "2^$x",
-#     :ln => x -> "e^$x",
-# )
-
 const _label_func = Dict{Symbol,Function}(
    :log10 => x -> "10^$x",
    :log2 => x -> "2^$x",
@@ -153,125 +141,59 @@ invscalefunc(scale::Symbol) = x -> get(_inv_scale_funcs, scale, identity)(Float6
 labelfunc(scale::Symbol, backend::AbstractBackend) = get(_label_func, scale, string)

 function optimal_ticks_and_labels(axis::Axis, ticks = nothing)
-    amin,amax = axis_limits(axis)
+    lims = axis_limits(axis)

    # scale the limits
    scale = axis[:scale]
-    sf = scalefunc(scale)
-
-    # If the axis input was a Date or DateTime use a special logic to find
-    # "round" Date(Time)s as ticks
-    # This bypasses the rest of optimal_ticks_and_labels, because
-    # optimize_datetime_ticks returns ticks AND labels: the label format (Date
-    # or DateTime) is chosen based on the time span between amin and amax
-    # rather than on the input format
-    # TODO: maybe: non-trivial scale (:ln, :log2, :log10) for date/datetime
-    if ticks == nothing && scale == :identity
-        if axis[:formatter] == dateformatter
-            # optimize_datetime_ticks returns ticks and labels(!) based on
-            # integers/floats corresponding to the DateTime type. Thus, the axes
-            # limits, which resulted from converting the Date type to integers,
-            # are converted to 'DateTime integers' (actually floats) before
-            # being passed to optimize_datetime_ticks.
-            # (convert(Int, convert(DateTime, convert(Date, i))) == 87600000*i)
-            ticks, labels = optimize_datetime_ticks(864e5 * amin, 864e5 * amax;
-                k_min = 2, k_max = 4)
-            # Now the ticks are converted back to floats corresponding to Dates.
-            return ticks / 864e5, labels
-        elseif axis[:formatter] == datetimeformatter
-            return optimize_datetime_ticks(amin, amax; k_min = 2, k_max = 4)
-        end
-    end
+    scaled_lims = map(scalefunc(scale), lims)
+    # @show lims scaled_lims

    # get a list of well-laid-out ticks
-    if ticks == nothing
-        scaled_ticks = optimize_ticks(
-            sf(amin),
-            sf(amax);
-            k_min = 4, # minimum number of ticks
+    cv = if ticks == nothing
+        optimize_ticks(scaled_lims...,
+            k_min = 5, # minimum number of ticks
            k_max = 8, # maximum number of ticks
+            # span_buffer = 0.0 # padding buffer in case nice ticks are closeby
        )[1]
-    elseif typeof(ticks) <: Int
-        scaled_ticks, viewmin, viewmax = optimize_ticks(
-            sf(amin),
-            sf(amax);
-            k_min = ticks, # minimum number of ticks
-            k_max = ticks, # maximum number of ticks
-            k_ideal = ticks,
-            # `strict_span = false` rewards cases where the span of the
-            # chosen  ticks is not too much bigger than amin - amax:
-            strict_span = false,
-        )
-        axis[:lims] = map(invscalefunc(scale), (viewmin, viewmax))
    else
-        scaled_ticks = map(sf, (filter(t -> amin <= t <= amax, ticks)))
-    end
-    unscaled_ticks = map(invscalefunc(scale), scaled_ticks)
-
-    labels = if any(isfinite, unscaled_ticks)
-        formatter = axis[:formatter]
-        if formatter == :auto
-            # the default behavior is to make strings of the scaled values and then apply the labelfunc
-            map(labelfunc(scale, backend()), Showoff.showoff(scaled_ticks, :auto))
-        elseif formatter == :plain
-            # Leave the numbers in plain format
-            map(labelfunc(scale, backend()), Showoff.showoff(scaled_ticks, :plain))
-        elseif formatter == :scientific
-            Showoff.showoff(unscaled_ticks, :scientific)
-        else
-            # there was an override for the formatter... use that on the unscaled ticks
-            map(formatter, unscaled_ticks)
-            # if the formatter left us with numbers, still apply the default formatter
-            # However it leave us with the problem of unicode number decoding by the backend
-            # if eltype(unscaled_ticks) <: Number
-            #     Showoff.showoff(unscaled_ticks, :auto)
-            # end
-        end
-    else
-        # no finite ticks to show...
-        String[]
+        ticks
    end

-    # @show unscaled_ticks labels
-    # labels = Showoff.showoff(unscaled_ticks, scale == :log10 ? :scientific : :auto)
-    unscaled_ticks, labels
+    # # expand to ensure we see all the ticks
+    # expand_extrema!(axis, cv)
+
+    # rescale and return values and labels
+    # @show cv
+    ticklabels = if any(isfinite, cv)
+        map(labelfunc(scale, backend()), Showoff.showoff(cv, :plain))
+    else
+        UTF8String[]
+    end
+
+    tickvals = map(invscalefunc(scale), cv)
+    # @show tickvals ticklabels
+    # ticklabels = Showoff.showoff(tickvals, scale == :log10 ? :scientific : :auto)
+    tickvals, ticklabels
+    # basestr = scale == :log10 ? "10^" : scale == :log2 ? "2^" : scale == :ln ? "e^" : ""
+    # tickvals, ["$basestr$cvi" for cvi in cv]
 end

 # return (continuous_values, discrete_values) for the ticks on this axis
 function get_ticks(axis::Axis)
-    ticks = _transform_ticks(axis[:ticks])
+    ticks = axis[:ticks]
    ticks in (nothing, false) && return nothing

-    # treat :native ticks as :auto
-    ticks = ticks == :native ? :auto : ticks
-
    dvals = axis[:discrete_values]
-    cv, dv = if typeof(ticks) <: Symbol
-        if !isempty(dvals)
-            # discrete ticks...
-            n = length(dvals)
-            rng = if ticks == :auto
-                Int[round(Int,i) for i in linspace(1, n, 15)]
-            else # if ticks == :all
-                1:n
-            end
-            axis[:continuous_values][rng], dvals[rng]
-        elseif ispolar(axis.sps[1]) && axis[:letter] == :x
-            #force theta axis to be full circle
-            (collect(0:pi/4:7pi/4), string.(0:45:315))
-        else
-            # compute optimal ticks and labels
-            optimal_ticks_and_labels(axis)
-        end
-    elseif typeof(ticks) <: Union{AVec, Int}
-        if !isempty(dvals) && typeof(ticks) <: Int
-            rng = Int[round(Int,i) for i in linspace(1, length(dvals), ticks)]
-            axis[:continuous_values][rng], dvals[rng]
-        else
-            # override ticks, but get the labels
-            optimal_ticks_and_labels(axis, ticks)
-        end
-    elseif typeof(ticks) <: NTuple{2, Any}
+    cv, dv = if !isempty(dvals) && ticks == :auto
+        # discrete ticks...
+        axis[:continuous_values], dvals
+    elseif ticks == :auto
+        # compute optimal ticks and labels
+        optimal_ticks_and_labels(axis)
+    elseif typeof(ticks) <: AVec
+        # override ticks, but get the labels
+        optimal_ticks_and_labels(axis, ticks)
+    elseif typeof(ticks) <: NTuple{2}
        # assuming we're passed (ticks, labels)
        ticks
    else
@@ -279,29 +201,20 @@ function get_ticks(axis::Axis)
    end
    # @show ticks dvals cv dv

-    return cv, dv
+    # TODO: better/smarter cutoff values for sampling ticks
+    if length(cv) > 30
+        rng = Int[round(Int,i) for i in linspace(1, length(cv), 15)]
+        cv[rng], dv[rng]
+    else
+        cv, dv
+    end
 end

-_transform_ticks(ticks) = ticks
-_transform_ticks(ticks::AbstractArray{T}) where T <: Dates.TimeType = Dates.value.(ticks)
-_transform_ticks(ticks::NTuple{2, Any}) = (_transform_ticks(ticks[1]), ticks[2])
-
 # -------------------------------------------------------------------------

-
-function reset_extrema!(sp::Subplot)
-    for asym in (:x,:y,:z)
-        sp[Symbol(asym,:axis)][:extrema] = Extrema()
-    end
-    for series in sp.series_list
-        expand_extrema!(sp, series.d)
-    end
-end
-
-
 function expand_extrema!(ex::Extrema, v::Number)
-    ex.emin = isfinite(v) ? min(v, ex.emin) : ex.emin
-    ex.emax = isfinite(v) ? max(v, ex.emax) : ex.emax
+    ex.emin = min(v, ex.emin)
+    ex.emax = max(v, ex.emax)
    ex
 end

@@ -314,13 +227,13 @@ expand_extrema!(axis::Axis, ::Void) = axis[:extrema]
 expand_extrema!(axis::Axis, ::Bool) = axis[:extrema]


-function expand_extrema!(axis::Axis, v::Tuple{MIN,MAX}) where {MIN<:Number,MAX<:Number}
+function expand_extrema!{MIN<:Number,MAX<:Number}(axis::Axis, v::Tuple{MIN,MAX})
    ex = axis[:extrema]
-    ex.emin = isfinite(v[1]) ? min(v[1], ex.emin) : ex.emin
-    ex.emax = isfinite(v[2]) ? max(v[2], ex.emax) : ex.emax
+    ex.emin = min(v[1], ex.emin)
+    ex.emax = max(v[2], ex.emax)
    ex
 end
-function expand_extrema!(axis::Axis, v::AVec{N}) where N<:Number
+function expand_extrema!{N<:Number}(axis::Axis, v::AVec{N})
    ex = axis[:extrema]
    for vi in v
        expand_extrema!(ex, vi)
@@ -330,25 +243,11 @@ end


 function expand_extrema!(sp::Subplot, d::KW)
-    vert = isvertical(d)
-
    # first expand for the data
    for letter in (:x, :y, :z)
-        data = d[if vert
-            letter
-        else
-            letter == :x ? :y : letter == :y ? :x : :z
-        end]
-        if letter != :z && d[:seriestype] == :straightline && any(series[:seriestype] != :straightline for series in series_list(sp)) && data[1] != data[2]
-            data = [NaN]
-        end
-        axis = sp[Symbol(letter, "axis")]
-
-        if isa(data, Volume)
-            expand_extrema!(sp[:xaxis], data.x_extents)
-            expand_extrema!(sp[:yaxis], data.y_extents)
-            expand_extrema!(sp[:zaxis], data.z_extents)
-        elseif eltype(data) <: Number || (isa(data, Surface) && all(di -> isa(di, Number), data.surf))
+        data = d[letter]
+        axis = sp.attr[Symbol(letter, "axis")]
+        if eltype(data) <: Number || (isa(data, Surface) && all(di -> isa(di, Number), data.surf))
            if !(eltype(data) <: Number)
                # huh... must have been a mis-typed surface? lets swap it out
                data = d[letter] = Surface(Matrix{Float64}(data.surf))
@@ -370,11 +269,12 @@ function expand_extrema!(sp::Subplot, d::KW)
    # end

    # expand for fillrange
+    vert = isvertical(d)
    fr = d[:fillrange]
    if fr == nothing && d[:seriestype] == :bar
        fr = 0.0
    end
-    if fr != nothing && !all3D(d)
+    if fr != nothing
        axis = sp.attr[vert ? :yaxis : :xaxis]
        if typeof(fr) <: Tuple
            for fri in fr
@@ -392,22 +292,15 @@ function expand_extrema!(sp::Subplot, d::KW)

        bw = d[:bar_width]
        if bw == nothing
-            bw = d[:bar_width] = _bar_width * ignorenan_minimum(filter(x->x>0,diff(sort(data))))
+            bw = d[:bar_width] = mean(diff(data))
        end
+        # @show data bw
+
        axis = sp.attr[Symbol(dsym, :axis)]
-        expand_extrema!(axis, ignorenan_maximum(data) + 0.5maximum(bw))
-        expand_extrema!(axis, ignorenan_minimum(data) - 0.5minimum(bw))
+        expand_extrema!(axis, maximum(data) + 0.5maximum(bw))
+        expand_extrema!(axis, minimum(data) - 0.5minimum(bw))
    end

-    # expand for heatmaps
-    if d[:seriestype] == :heatmap
-        for letter in (:x, :y)
-            data = d[letter]
-            axis = sp[Symbol(letter, "axis")]
-            scale = get(d, Symbol(letter, "scale"), :identity)
-            expand_extrema!(axis, heatmap_edges(data, scale))
-        end
-    end
 end

 function expand_extrema!(sp::Subplot, xmin, xmax, ymin, ymax)
@@ -418,38 +311,27 @@ end
 # -------------------------------------------------------------------------

 # push the limits out slightly
-function widen(lmin, lmax, scale = :identity)
-    f, invf = scalefunc(scale), invscalefunc(scale)
-    span = f(lmax) - f(lmin)
-    # eps = NaNMath.max(1e-16, min(1e-2span, 1e-10))
-    eps = NaNMath.max(1e-16, 0.03span)
-    invf(f(lmin)-eps), invf(f(lmax)+eps)
+function widen(lmin, lmax)
+    span = lmax - lmin
+    # eps = max(1e-16, min(1e-2span, 1e-10))
+    eps = max(1e-16, 0.03span)
+    lmin-eps, lmax+eps
 end

-# figure out if widening is a good idea.
-const _widen_seriestypes = (:line, :path, :steppre, :steppost, :sticks, :scatter, :barbins, :barhist, :histogram, :scatterbins, :scatterhist, :stepbins, :stephist, :bins2d, :histogram2d, :bar, :shape, :path3d, :scatter3d)
-
+# figure out if widening is a good idea.  if there's a scale set it's too tricky,
+# so lazy out and don't widen
 function default_should_widen(axis::Axis)
    should_widen = false
-    if !is_2tuple(axis[:lims])
-        for sp in axis.sps
-            for series in series_list(sp)
-                if series.d[:seriestype] in _widen_seriestypes
-                    should_widen = true
-                end
+    if axis[:scale] == :identity
+        for series in series_list(axis.sp)
+            if series.d[:seriestype] in (:scatter,) || series.d[:markershape] != :none
+                should_widen = true
            end
        end
    end
    should_widen
 end

-function round_limits(amin,amax)
-    scale = 10^(1-round(log10(amax - amin)))
-    amin = floor(amin*scale)/scale
-    amax = ceil(amax*scale)/scale
-    amin, amax
-end
-
 # using the axis extrema and limit overrides, return the min/max value for this axis
 function axis_limits(axis::Axis, should_widen::Bool = default_should_widen(axis))
    ex = axis[:extrema]
@@ -466,22 +348,8 @@ function axis_limits(axis::Axis, should_widen::Bool = default_should_widen(axis)
    if amax <= amin && isfinite(amin)
        amax = amin + 1.0
    end
-    if !isfinite(amin) && !isfinite(amax)
-        amin, amax = 0.0, 1.0
-    end
-    if ispolar(axis.sps[1])
-        if axis[:letter] == :x
-            amin, amax = 0, 2pi
-        elseif lims == :auto
-            #widen max radius so ticks dont overlap with theta axis
-            amin, amax + 0.1 * abs(amax - amin)
-        else
-            amin, amax
-        end
-    elseif should_widen && axis[:widen]
-        widen(amin, amax, axis[:scale])
-    elseif lims == :round
-        round_limits(amin,amax)
+    if should_widen
+        widen(amin, amax)
    else
        amin, amax
    end
@@ -497,7 +365,7 @@ function discrete_value!(axis::Axis, dv)
    # @show axis[:discrete_map], axis[:discrete_values], dv
    if cv_idx == -1
        ex = axis[:extrema]
-        cv = NaNMath.max(0.5, ex.emax + 1.0)
+        cv = max(0.5, ex.emax + 1.0)
        expand_extrema!(axis, cv)
        push!(axis[:discrete_values], dv)
        push!(axis[:continuous_values], cv)
@@ -562,94 +430,39 @@ function axis_drawing_info(sp::Subplot)
    ymin, ymax = axis_limits(yaxis)
    xticks = get_ticks(xaxis)
    yticks = get_ticks(yaxis)
-    xaxis_segs = Segments(2)
-    yaxis_segs = Segments(2)
-    xtick_segs = Segments(2)
-    ytick_segs = Segments(2)
-    xgrid_segs = Segments(2)
-    ygrid_segs = Segments(2)
-    xborder_segs = Segments(2)
-    yborder_segs = Segments(2)
+    spine_segs = Segments(2)
+    grid_segs = Segments(2)

-    if sp[:framestyle] != :none
-        # xaxis
-        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 (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), (xmax, y2)) # top spine
-        end
-        if !(xaxis[:ticks] in (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)
+    if !(xaxis[:ticks] in (nothing, false))
+        f = scalefunc(yaxis[:scale])
+        invf = invscalefunc(yaxis[:scale])
+        t1 = invf(f(ymin) + 0.015*(f(ymax)-f(ymin)))
+        t2 = invf(f(ymax) - 0.015*(f(ymax)-f(ymin)))

-            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
-
-        # yaxis
-        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 (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), (x2, ymax)) # right spine
-        end
-        if !(yaxis[:ticks] in (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)
-
-            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
+        push!(spine_segs, (xmin,ymin), (xmax,ymin)) # bottom spine
+        push!(spine_segs, (xmin,ymax), (xmax,ymax)) # top spine
+        for xtick in xticks[1]
+            push!(spine_segs, (xtick, ymin), (xtick, t1)) # bottom tick
+            push!(grid_segs,  (xtick, t1),   (xtick, t2)) # vertical grid
+            push!(spine_segs, (xtick, ymax), (xtick, t2)) # top tick
        end
    end

-    xticks, yticks, xaxis_segs, yaxis_segs, xtick_segs, ytick_segs, xgrid_segs, ygrid_segs, xborder_segs, yborder_segs
+    if !(yaxis[:ticks] in (nothing, false))
+        f = scalefunc(xaxis[:scale])
+        invf = invscalefunc(xaxis[:scale])
+        t1 = invf(f(xmin) + 0.015*(f(xmax)-f(xmin)))
+        t2 = invf(f(xmax) - 0.015*(f(xmax)-f(xmin)))
+
+        push!(spine_segs, (xmin,ymin), (xmin,ymax)) # left spine
+        push!(spine_segs, (xmax,ymin), (xmax,ymax)) # right spine
+        for ytick in yticks[1]
+            push!(spine_segs, (xmin, ytick), (t1, ytick)) # left tick
+            push!(grid_segs,  (t1, ytick),   (t2, ytick)) # horizontal grid
+            push!(spine_segs, (xmax, ytick), (t2, ytick)) # right tick
+        end
+    end
+
+    xticks, yticks, spine_segs, grid_segs
 end
+
@@ -1,15 +1,12 @@

-struct NoBackend <: AbstractBackend end
+immutable NoBackend <: AbstractBackend end

 const _backendType = Dict{Symbol, DataType}(:none => NoBackend)
 const _backendSymbol = Dict{DataType, Symbol}(NoBackend => :none)
 const _backends = Symbol[]
 const _initialized_backends = Set{Symbol}()

-"Returns a list of supported backends"
 backends() = _backends
-
-"Returns the name of the current backend"
 backend_name() = CURRENT_BACKEND.sym
 _backend_instance(sym::Symbol) = haskey(_backendType, sym) ? _backendType[sym]() : error("Unsupported backend $sym")

@@ -18,7 +15,7 @@ macro init_backend(s)
    sym = Symbol(str)
    T = Symbol(string(s) * "Backend")
    esc(quote
-        struct $T <: AbstractBackend end
+        immutable $T <: AbstractBackend end
        export $sym
        $sym(; kw...) = (default(; kw...); backend(Symbol($str)))
        backend_name(::$T) = Symbol($str)
@@ -29,18 +26,24 @@ macro init_backend(s)
    end)
 end

+@init_backend Immerse
+@init_backend Gadfly
+@init_backend PyPlot
+@init_backend Qwt
+@init_backend UnicodePlots
+@init_backend Winston
+@init_backend Bokeh
+@init_backend Plotly
+@init_backend PlotlyJS
+@init_backend GR
+@init_backend GLVisualize
+@init_backend PGFPlots
+
 include("backends/web.jl")
 # include("backends/supported.jl")

 # ---------------------------------------------------------

-function add_backend(pkg::Symbol)
-    info("To do a standard install of $pkg, copy and run this:\n\n")
-    println(add_backend_string(_backend_instance(pkg)))
-    println()
-end
-add_backend_string(b::AbstractBackend) = warn("No custom install defined for $(backend_name(b))")
-
 # don't do anything as a default
 _create_backend_figure(plt::Plot) = nothing
 _prepare_plot_object(plt::Plot) = nothing
@@ -51,49 +54,18 @@ _series_updated(plt::Plot, series::Series) = nothing

 _before_layout_calcs(plt::Plot) = nothing

-title_padding(sp::Subplot) = sp[:title] == "" ? 0mm : sp[:titlefontsize] * pt
-guide_padding(axis::Axis) = axis[:guide] == "" ? 0mm : axis[:guidefontsize] * pt
+title_padding(sp::Subplot) = sp[:title] == "" ? 0mm : sp[:titlefont].pointsize * pt
+guide_padding(axis::Axis) = axis[:guide] == "" ? 0mm : axis[:guidefont].pointsize * pt

-"Returns the (width,height) of a text label."
-function text_size(lablen::Int, sz::Number, rot::Number = 0)
-    # we need to compute the size of the ticks generically
-    # this means computing the bounding box and then getting the width/height
-    # note:
-    ptsz = sz * pt
-    width = 0.8lablen * ptsz
-
-    # now compute the generalized "height" after rotation as the "opposite+adjacent" of 2 triangles
-    height = abs(sind(rot)) * width + abs(cosd(rot)) * ptsz
-    width = abs(sind(rot+90)) * width + abs(cosd(rot+90)) * ptsz
-    width, height
-end
-text_size(lab::AbstractString, sz::Number, rot::Number = 0) = text_size(length(lab), sz, rot)
-
-# account for the size/length/rotation of tick labels
+# TODO: this should account for both tick font and the size/length/rotation of tick labels
 function tick_padding(axis::Axis)
-    ticks = get_ticks(axis)
-    if ticks == nothing
+    ptsz = axis[:tickfont].pointsize * pt
+    if axis[:ticks] in (nothing,false)
        0mm
+    elseif axis[:letter] == :x
+        2mm + ptsz
    else
-        vals, labs = ticks
-        isempty(labs) && return 0mm
-        # ptsz = axis[:tickfont].pointsize * pt
-        longest_label = maximum(length(lab) for lab in labs)
-
-        # generalize by "rotating" y labels
-        rot = axis[:rotation] + (axis[:letter] == :y ? 90 : 0)
-
-        # # we need to compute the size of the ticks generically
-        # # this means computing the bounding box and then getting the width/height
-        # labelwidth = 0.8longest_label * ptsz
-        #
-        #
-        # # now compute the generalized "height" after rotation as the "opposite+adjacent" of 2 triangles
-        # hgt = abs(sind(rot)) * labelwidth + abs(cosd(rot)) * ptsz + 1mm
-        # hgt
-
-        # get the height of the rotated label
-        text_size(longest_label, axis[:tickfontsize], rot)[2]
+        8mm
    end
 end

@@ -105,15 +77,6 @@ function _update_min_padding!(sp::Subplot)
    toppad    = sp[:top_margin]    + title_padding(sp)
    rightpad  = sp[:right_margin]
    bottompad = tick_padding(sp[:xaxis]) + sp[:bottom_margin] + guide_padding(sp[:xaxis])
-
-    # switch them?
-    if sp[:xaxis][:mirror]
-        bottompad, toppad = toppad, bottompad
-    end
-    if sp[:yaxis][:mirror]
-        leftpad, rightpad = rightpad, leftpad
-    end
-
    # @show (leftpad, toppad, rightpad, bottompad)
    sp.minpad = (leftpad, toppad, rightpad, bottompad)
 end
@@ -123,7 +86,7 @@ _update_plot_object(plt::Plot) = nothing
 # ---------------------------------------------------------


-mutable struct CurrentBackend
+type CurrentBackend
  sym::Symbol
  pkg::AbstractBackend
 end
@@ -151,7 +114,7 @@ function pickDefaultBackend()
    # the ordering/inclusion of this package list is my semi-arbitrary guess at
    # which one someone will want to use if they have the package installed...accounting for
    # features, speed, and robustness
-    for pkgstr in ("GR", "PyPlot", "PlotlyJS", "PGFPlots", "UnicodePlots", "InspectDR", "GLVisualize")
+    for pkgstr in ("PyPlot", "GR", "PlotlyJS", "Immerse", "Gadfly", "UnicodePlots")
        if Pkg.installed(pkgstr) != nothing
            return backend(Symbol(lowercase(pkgstr)))
        end
@@ -177,15 +140,14 @@ function backend()
  sym = CURRENT_BACKEND.sym
  if !(sym in _initialized_backends)

-    # # initialize
-    # println("[Plots.jl] Initializing backend: ", sym)
+    # initialize
+    println("[Plots.jl] Initializing backend: ", sym)

    inst = _backend_instance(sym)
    try
      _initialize_backend(inst)
    catch err
      warn("Couldn't initialize $sym.  (might need to install it?)")
-      add_backend(sym)
      rethrow(err)
    end

@@ -202,14 +164,12 @@ function backend(pkg::AbstractBackend)
    CURRENT_BACKEND.sym = backend_name(pkg)
    warn_on_deprecated_backend(CURRENT_BACKEND.sym)
    CURRENT_BACKEND.pkg = pkg
-    backend()
 end

 function backend(modname::Symbol)
    warn_on_deprecated_backend(modname)
    CURRENT_BACKEND.sym = modname
    CURRENT_BACKEND.pkg = _backend_instance(modname)
-    backend()
 end

 const _deprecated_backends = [:qwt, :winston, :bokeh, :gadfly, :immerse]
@@ -220,7 +180,23 @@ function warn_on_deprecated_backend(bsym::Symbol)
    end
 end

+# ---------------------------------------------------------

+supported_types(::AbstractBackend) = []
+supported_styles(::AbstractBackend) = [:solid]
+supported_markers(::AbstractBackend) = [:none]
+supported_scales(::AbstractBackend) = [:identity]
+is_subplot_supported(::AbstractBackend) = false
+is_string_supported(::AbstractBackend) = false
+nativeImagesSupported(b::AbstractBackend) = :image in supported_types(b)
+
+supported_types() = supported_types(backend())
+supported_styles() = supported_styles(backend())
+supported_markers() = supported_markers(backend())
+supported_scales() = supported_scales(backend())
+is_subplot_supported() = is_subplot_supported(backend())
+is_string_supported() = is_string_supported(backend())
+nativeImagesSupported() = nativeImagesSupported(backend())

 # ---------------------------------------------------------

@@ -250,7 +226,7 @@ const _base_supported_args = [
    :subplot_index,
    :discrete_values,
    :projection,
-
+    
 ]

 function merge_with_base_supported(v::AVec)
@@ -262,49 +238,5 @@ function merge_with_base_supported(v::AVec)
            end
        end
    end
-    Set(v)
+    v
 end
-
-
-
-# @init_backend Immerse
-# @init_backend Gadfly
-@init_backend PyPlot
-# @init_backend Qwt
-@init_backend UnicodePlots
-# @init_backend Winston
-# @init_backend Bokeh
-@init_backend Plotly
-@init_backend PlotlyJS
-@init_backend GR
-@init_backend GLVisualize
-@init_backend PGFPlots
-@init_backend InspectDR
-@init_backend HDF5
-
-# ---------------------------------------------------------
-
-# create the various `is_xxx_supported` and `supported_xxxs` methods
-# by default they pass through to checking membership in `_gr_xxx`
-for s in (:attr, :seriestype, :marker, :style, :scale)
-    f = Symbol("is_", s, "_supported")
-    f2 = Symbol("supported_", s, "s")
-    @eval begin
-        $f(::AbstractBackend, $s) = false
-        $f(bend::AbstractBackend, $s::AbstractVector) = all(v -> $f(bend, v), $s)
-        $f($s) = $f(backend(), $s)
-        $f2() = $f2(backend())
-    end
-
-    for bend in backends()
-        bend_type = typeof(_backend_instance(bend))
-        v = Symbol("_", bend, "_", s)
-        @eval begin
-            $f(::$bend_type, $s::Symbol) = $s in $v
-            $f2(::$bend_type) = $v
-        end
-    end
-end
-
-# is_subplot_supported(::AbstractBackend) = false
-# is_subplot_supported() = is_subplot_supported(backend())
@@ -2,7 +2,7 @@
 # https://github.com/bokeh/Bokeh.jl


-supported_attrs(::BokehBackend) = merge_with_base_supported([
+supported_args(::BokehBackend) = merge_with_base_supported([
    # :annotations,
    # :axis,
    # :background_color,
@@ -194,7 +194,7 @@ end

 # ----------------------------------------------------------------

-function Base.show(io::IO, ::MIME"image/png", plt::AbstractPlot{BokehBackend})
+function Base.writemime(io::IO, ::MIME"image/png", plt::AbstractPlot{BokehBackend})
  # TODO: write a png to io
  warn("mime png not implemented")
 end
@@ -2,7 +2,7 @@
 # https://github.com/dcjones/Gadfly.jl


-supported_attrs(::GadflyBackend) = merge_with_base_supported([
+supported_args(::GadflyBackend) = merge_with_base_supported([
    :annotations,
    :background_color, :foreground_color, :color_palette,
    :group, :label, :seriestype,
@@ -41,7 +41,7 @@ function _initialize_backend(::GadflyBackend; kw...)
    @eval begin
        import Gadfly, Compose
        export Gadfly, Compose
-        include(joinpath(dirname(@__FILE__), "gadfly_shapes.jl"))
+        include(joinpath(Pkg.dir("Plots"), "src", "backends", "gadfly_shapes.jl"))
    end
 end

@@ -244,7 +244,7 @@ function addToGadflyLegend(plt::Plot, d::KW)

        # add the legend if needed
        if all(g -> !isa(g, Gadfly.Guide.ManualColorKey), gplt.guides)
-            unshift!(gplt.guides, Gadfly.Guide.manual_color_key("", AbstractString[], Color[]))
+            unshift!(gplt.guides, Gadfly.Guide.manual_color_key("", @compat(AbstractString)[], Color[]))
        end

        # now add the series to the legend
@@ -456,7 +456,7 @@ function updateGadflyAxisFlips(gplt, d::KW, xlims, ylims, xfunc, yfunc)
 end


-function findGuideAndSet(gplt, t::DataType, args...; kw...)
+function findGuideAndSet(gplt, t::DataType, args...; kw...) #s::@compat(AbstractString))
    for (i,guide) in enumerate(gplt.guides)
        if isa(guide, t)
            gplt.guides[i] = t(args...; kw...)
@@ -537,7 +537,7 @@ end
 # ----------------------------------------------------------------


-function createGadflyAnnotationObject(x, y, val::AbstractString)
+function createGadflyAnnotationObject(x, y, val::@compat(AbstractString))
    Gadfly.Guide.annotation(Compose.compose(
                              Compose.context(),
                              Compose.text(x, y, val)
@@ -558,7 +558,7 @@ function createGadflyAnnotationObject(x, y, txt::PlotText)
                            ))
 end

-function _add_annotations(plt::Plot{GadflyBackend}, anns::AVec{Tuple{X,Y,V}}) where {X,Y,V}
+function _add_annotations{X,Y,V}(plt::Plot{GadflyBackend}, anns::AVec{@compat(Tuple{X,Y,V})})
    for ann in anns
        push!(plt.o.guides, createGadflyAnnotationObject(ann...))
    end
@@ -614,7 +614,7 @@ function getxy(plt::Plot{GadflyBackend}, i::Integer)
    mapping[:x], mapping[:y]
 end

-function setxy!(plt::Plot{GadflyBackend}, xy::Tuple{X,Y}, i::Integer) where {X,Y}
+function setxy!{X,Y}(plt::Plot{GadflyBackend}, xy::Tuple{X,Y}, i::Integer)
    for mapping in getGadflyMappings(plt, i)
        mapping[:x], mapping[:y] = xy
    end
@@ -677,7 +677,7 @@ setGadflyDisplaySize(plt::Plot) = setGadflyDisplaySize(plt.attr[:size]...)
 # -------------------------------------------------------------------------


-function doshow(io::IO, func, plt::AbstractPlot{P}) where P<:Union{GadflyBackend,ImmerseBackend}
+function dowritemime{P<:Union{GadflyBackend,ImmerseBackend}}(io::IO, func, plt::AbstractPlot{P})
    gplt = getGadflyContext(plt)
    setGadflyDisplaySize(plt)
    Gadfly.draw(func(io, Compose.default_graphic_width, Compose.default_graphic_height), gplt)
@@ -692,9 +692,9 @@ getGadflyWriteFunc(::MIME"application/x-tex") = Gadfly.PGF
 getGadflyWriteFunc(m::MIME) = error("Unsupported in Gadfly/Immerse: ", m)

 for mime in (MIME"image/png", MIME"image/svg+xml", MIME"application/pdf", MIME"application/postscript", MIME"application/x-tex")
-    @eval function Base.show(io::IO, ::$mime, plt::AbstractPlot{P}) where P<:Union{GadflyBackend,ImmerseBackend}
+    @eval function Base.writemime{P<:Union{GadflyBackend,ImmerseBackend}}(io::IO, ::$mime, plt::AbstractPlot{P})
        func = getGadflyWriteFunc($mime())
-        doshow(io, func, plt)
+        dowritemime(io, func, plt)
    end
 end

@@ -2,7 +2,7 @@

 # Geometry which displays arbitrary shapes at given (x, y) positions.
 # note: vertices is a list of shapes
-struct ShapeGeometry <: Gadfly.GeometryElement
+immutable ShapeGeometry <: Gadfly.GeometryElement
    vertices::AbstractVector #{Tuple{Float64,Float64}}
    tag::Symbol

@@ -84,7 +84,7 @@ function make_polygon(geom::ShapeGeometry, xs::AbstractArray, ys::AbstractArray,
    x = Compose.x_measure(xs[mod1(i, length(xs))])
    y = Compose.y_measure(ys[mod1(i, length(ys))])
    r = rs[mod1(i, length(rs))]
-    polys[i] = T[(x + r * sx, y + r * sy) for (sx,sy) in _cycle(geom.vertices, i)]
+    polys[i] = T[(x + r * sx, y + r * sy) for (sx,sy) in cycle(geom.vertices, i)]
  end
  Gadfly.polygon(polys, geom.tag)
 end
@@ -1,665 +0,0 @@
-#HDF5 Plots: Save/replay plots to/from HDF5
-#-------------------------------------------------------------------------------
-
-#==Usage
-===============================================================================
-Write to .hdf5 file using:
-    p = plot(...)
-   Plots.hdf5plot_write(p, "plotsave.hdf5")
-
-Read from .hdf5 file using:
-    pyplot() #Must first select backend
-    pread = Plots.hdf5plot_read("plotsave.hdf5")
-    display(pread)
-==#
-
-
-#==TODO
-===============================================================================
- 1. Support more features
-    - SeriesAnnotations & GridLayout known to be missing.
- 3. Improve error handling.
-    - Will likely crash if file format is off.
- 2. Save data in a folder parallel to "plot".
-    - Will make it easier for users to locate data.
-    - Use HDF5 reference to link data?
- 3. Develop an actual versioned file format.
-    - Should have some form of backward compatibility.
-    - Should be reliable for archival purposes.
-==#
-
-@require Revise begin
-    Revise.track(Plots, joinpath(Pkg.dir("Plots"), "src", "backends", "hdf5.jl"))
-end
-
-import FixedPointNumbers: N0f8 #In core Julia
-
-#Dispatch types:
-struct HDF5PlotNative; end #Indentifies a data element that can natively be handled by HDF5
-struct HDF5CTuple; end #Identifies a "complex" tuple structure
-
-mutable struct HDF5Plot_PlotRef
-	ref::Union{Plot, Void}
-end
-
-
-#==Useful constants
-===============================================================================#
-const _hdf5_plotroot = "plot"
-const _hdf5_dataroot = "data" #TODO: Eventually move data to different root (easier to locate)?
-const _hdf5plot_datatypeid = "TYPE" #Attribute identifying type
-const _hdf5plot_countid = "COUNT" #Attribute for storing count
-
-#Dict has problems using "Types" as keys.  Initialize in "_initialize_backend":
-const HDF5PLOT_MAP_STR2TELEM = Dict{String, Type}()
-const HDF5PLOT_MAP_TELEM2STR = Dict{Type, String}()
-
-#Don't really like this global variable... Very hacky
-const HDF5PLOT_PLOTREF = HDF5Plot_PlotRef(nothing)
-
-#Simple sub-structures that can just be written out using _hdf5plot_gwritefields:
-const HDF5PLOT_SIMPLESUBSTRUCT = Union{Font, BoundingBox,
-	GridLayout, RootLayout, ColorGradient, SeriesAnnotations, PlotText
-}
-
-
-#==
-===============================================================================#
-
-const _hdf5_attr = merge_with_base_supported([
-    :annotations,
-    :background_color_legend, :background_color_inside, :background_color_outside,
-    :foreground_color_grid, :foreground_color_legend, :foreground_color_title,
-    :foreground_color_axis, :foreground_color_border, :foreground_color_guide, :foreground_color_text,
-    :label,
-    :linecolor, :linestyle, :linewidth, :linealpha,
-    :markershape, :markercolor, :markersize, :markeralpha,
-    :markerstrokewidth, :markerstrokecolor, :markerstrokealpha,
-    :fillrange, :fillcolor, :fillalpha,
-    :bins, :bar_width, :bar_edges, :bar_position,
-    :title, :title_location, :titlefont,
-    :window_title,
-    :guide, :lims, :ticks, :scale, :flip, :rotation,
-    :tickfont, :guidefont, :legendfont,
-    :grid, :legend, :colorbar,
-    :marker_z, :line_z, :fill_z,
-    :levels,
-    :ribbon, :quiver, :arrow,
-    :orientation,
-    :overwrite_figure,
-    :polar,
-    :normalize, :weights,
-    :contours, :aspect_ratio,
-    :match_dimensions,
-    :clims,
-    :inset_subplots,
-    :dpi,
-    :colorbar_title,
-  ])
-const _hdf5_seriestype = [
-        :path, :steppre, :steppost, :shape, :straightline,
-        :scatter, :hexbin, #:histogram2d, :histogram,
-        # :bar,
-        :heatmap, :pie, :image,
-        :contour, :contour3d, :path3d, :scatter3d, :surface, :wireframe
-    ]
-const _hdf5_style = [:auto, :solid, :dash, :dot, :dashdot]
-const _hdf5_marker = vcat(_allMarkers, :pixel)
-const _hdf5_scale = [:identity, :ln, :log2, :log10]
-is_marker_supported(::HDF5Backend, shape::Shape) = true
-
-function add_backend_string(::HDF5Backend)
-    """
-    if !Plots.is_installed("HDF5")
-        Pkg.add("HDF5")
-    end
-    """
-end
-
-
-#==Helper functions
-===============================================================================#
-
-_hdf5_plotelempath(subpath::String) = "$_hdf5_plotroot/$subpath"
-_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)
-    for (k, v) in src
-        if isa(v, Axis)
-            _hdf5_merge!(dest[k].d, v.d)
-        else
-            dest[k] = v
-        end
-    end
-    return
-end
-
-
-#==
-===============================================================================#
-
-function _initialize_backend(::HDF5Backend)
-    @eval begin
-        import HDF5
-        export HDF5
-        if length(HDF5PLOT_MAP_TELEM2STR) < 1
-            #Possible element types of high-level data types:
-            const telem2str = Dict{String, Type}(
-                "NATIVE" => HDF5PlotNative,
-                "VOID" => Void,
-                "BOOL" => Bool,
-                "SYMBOL" => Symbol,
-                "TUPLE" => Tuple,
-                "CTUPLE" => HDF5CTuple, #Tuple of complex structures
-                "RGBA" => ARGB{N0f8},
-                "EXTREMA" => Extrema,
-                "LENGTH" => Length,
-                "ARRAY" => Array, #Dict won't allow Array to be key in HDF5PLOT_MAP_TELEM2STR
-
-                #Sub-structure types:
-                "FONT" => Font,
-                "BOUNDINGBOX" => BoundingBox,
-                "GRIDLAYOUT" => GridLayout,
-                "ROOTLAYOUT" => RootLayout,
-                "SERIESANNOTATIONS" => SeriesAnnotations,
-#                "PLOTTEXT" => PlotText,
-                "COLORGRADIENT" => ColorGradient,
-                "AXIS" => Axis,
-                "SURFACE" => Surface,
-                "SUBPLOT" => Subplot,
-                "NULLABLE" => Nullable,
-            )
-            merge!(HDF5PLOT_MAP_STR2TELEM, telem2str)
-            merge!(HDF5PLOT_MAP_TELEM2STR, Dict{Type, String}(v=>k for (k,v) in HDF5PLOT_MAP_STR2TELEM))
-        end
-    end
-end
-
-# ---------------------------------------------------------------------------
-
-# Create the window/figure for this backend.
-function _create_backend_figure(plt::Plot{HDF5Backend})
-    #Do nothing
-end
-
-# ---------------------------------------------------------------------------
-
-# # this is called early in the pipeline, use it to make the plot current or something
-# function _prepare_plot_object(plt::Plot{HDF5Backend})
-# end
-
-# ---------------------------------------------------------------------------
-
-# Set up the subplot within the backend object.
-function _initialize_subplot(plt::Plot{HDF5Backend}, sp::Subplot{HDF5Backend})
-    #Do nothing
-end
-
-# ---------------------------------------------------------------------------
-
-# Add one series to the underlying backend object.
-# Called once per series
-# NOTE: Seems to be called when user calls plot()... even if backend
-#       plot, sp.o has not yet been constructed...
-function _series_added(plt::Plot{HDF5Backend}, series::Series)
-    #Do nothing
-end
-
-# ---------------------------------------------------------------------------
-
-# When series data is added/changed, this callback can do dynamic updates to the backend object.
-# note: if the backend rebuilds the plot from scratch on display, then you might not do anything here.
-function _series_updated(plt::Plot{HDF5Backend}, series::Series)
-    #Do nothing
-end
-
-# ---------------------------------------------------------------------------
-
-# called just before updating layout bounding boxes... in case you need to prep
-# for the calcs
-function _before_layout_calcs(plt::Plot{HDF5Backend})
-    #Do nothing
-end
-
-# ----------------------------------------------------------------
-
-# Set the (left, top, right, bottom) minimum padding around the plot area
-# to fit ticks, tick labels, guides, colorbars, etc.
-function _update_min_padding!(sp::Subplot{HDF5Backend})
-    #Do nothing
-end
-
-# ----------------------------------------------------------------
-
-# Override this to update plot items (title, xlabel, etc), and add annotations (d[:annotations])
-function _update_plot_object(plt::Plot{HDF5Backend})
-    #Do nothing
-end
-
-# ----------------------------------------------------------------
-
-# Display/show the plot (open a GUI window, or browser page, for example).
-function _display(plt::Plot{HDF5Backend})
-    msg = "HDF5 interface does not support `display()` function."
-    msg *= "\nUse `Plots.hdf5plot_write(::String)` method to write to .HDF5 \"plot\" file instead."
-    warn(msg)
-    return
-end
-
-
-#==HDF5 write functions
-===============================================================================#
-
-function _hdf5plot_writetype(grp, k::String, tstr::Array{String})
-    d = HDF5.d_open(grp, k)
-    HDF5.a_write(d, _hdf5plot_datatypeid, tstr)
-end
-function _hdf5plot_writetype(grp, k::String, T::Type)
-    tstr = HDF5PLOT_MAP_TELEM2STR[T]
-    d = HDF5.d_open(grp, k)
-    HDF5.a_write(d, _hdf5plot_datatypeid, tstr)
-end
-function _hdf5plot_overwritetype(grp, k::String, T::Type)
-    tstr = HDF5PLOT_MAP_TELEM2STR[T]
-    d = HDF5.d_open(grp, k)
-    HDF5.a_delete(d, _hdf5plot_datatypeid)
-    HDF5.a_write(d, _hdf5plot_datatypeid, tstr)
-end
-function _hdf5plot_writetype(grp, T::Type) #Write directly to group
-    tstr = HDF5PLOT_MAP_TELEM2STR[T]
-    HDF5.a_write(grp, _hdf5plot_datatypeid, tstr)
-end
-function _hdf5plot_overwritetype(grp, T::Type) #Write directly to group
-    tstr = HDF5PLOT_MAP_TELEM2STR[T]
-    HDF5.a_delete(grp, _hdf5plot_datatypeid)
-    HDF5.a_write(grp, _hdf5plot_datatypeid, tstr)
-end
-function _hdf5plot_writetype(grp, ::Type{Array{T}}) where T<:Any
-    tstr = HDF5PLOT_MAP_TELEM2STR[Array] #ANY
-    HDF5.a_write(grp, _hdf5plot_datatypeid, tstr)
-end
-function _hdf5plot_writetype(grp, ::Type{T}) where T<:BoundingBox
-    tstr = HDF5PLOT_MAP_TELEM2STR[BoundingBox]
-    HDF5.a_write(grp, _hdf5plot_datatypeid, tstr)
-end
-function _hdf5plot_writecount(grp, n::Int) #Write directly to group
-    HDF5.a_write(grp, _hdf5plot_countid, n)
-end
-function _hdf5plot_gwritefields(grp, k::String, v)
-    grp = HDF5.g_create(grp, k)
-    for _k in fieldnames(v)
-        _v = getfield(v, _k)
-        kstr = string(_k)
-        _hdf5plot_gwrite(grp, kstr, _v)
-    end
-    _hdf5plot_writetype(grp, typeof(v))
-    return
-end
-
-# Write data
-# ----------------------------------------------------------------
-
-function _hdf5plot_gwrite(grp, k::String, v) #Default
-    grp[k] = v
-    _hdf5plot_writetype(grp, k, HDF5PlotNative)
-end
-function _hdf5plot_gwrite(grp, k::String, v::Array{T}) where T<:Number #Default for arrays
-    grp[k] = v
-    _hdf5plot_writetype(grp, k, HDF5PlotNative)
-end
-#=
-function _hdf5plot_gwrite(grp, k::String, v::Array{Any})
-#    @show grp, k
-    warn("Cannot write Array: $k=$v")
-end
-=#
-function _hdf5plot_gwrite(grp, k::String, v::Void)
-    grp[k] = 0
-    _hdf5plot_writetype(grp, k, Void)
-end
-function _hdf5plot_gwrite(grp, k::String, v::Bool)
-    grp[k] = Int(v)
-    _hdf5plot_writetype(grp, k, Bool)
-end
-function _hdf5plot_gwrite(grp, k::String, v::Symbol)
-    grp[k] = string(v)
-    _hdf5plot_writetype(grp, k, Symbol)
-end
-function _hdf5plot_gwrite(grp, k::String, v::Tuple)
-    varr = [v...]
-    elt = eltype(varr)
-#    if isleaftype(elt)
-
-    _hdf5plot_gwrite(grp, k, varr)
-    if elt <: Number
-        #We just wrote a simple dataset
-        _hdf5plot_overwritetype(grp, k, Tuple)
-    else #Used a more complex scheme (using subgroups):
-        _hdf5plot_overwritetype(grp[k], HDF5CTuple)
-    end
-    #NOTE: _hdf5plot_overwritetype overwrites "Array" type with "Tuple".
-end
-function _hdf5plot_gwrite(grp, k::String, d::Dict)
-#    warn("Cannot write dict: $k=$d")
-end
-function _hdf5plot_gwrite(grp, k::String, v::Range)
-    _hdf5plot_gwrite(grp, k, collect(v)) #For now
-end
-function _hdf5plot_gwrite(grp, k::String, v::ARGB{N0f8})
-    grp[k] = [v.r.i, v.g.i, v.b.i, v.alpha.i]
-    _hdf5plot_writetype(grp, k, ARGB{N0f8})
-end
-function _hdf5plot_gwrite(grp, k::String, v::Colorant)
-    _hdf5plot_gwrite(grp, k, ARGB{N0f8}(v))
-end
-#Custom vector (when not using simple numeric type):
-function _hdf5plot_gwritearray(grp, k::String, v::Array{T}) where T
-    if "annotations" == k;
-        return #Hack.  Does not yet support annotations.
-    end
-
-    vgrp = HDF5.g_create(grp, k)
-    _hdf5plot_writetype(vgrp, Array) #ANY
-    sz = size(v)
-
-    for iter in eachindex(v)
-        coord = ind2sub(sz, iter)
-        elem = v[iter]
-        idxstr = join(coord, "_")
-        _hdf5plot_gwrite(vgrp, "v$idxstr", v[iter])
-    end
-
-    _hdf5plot_gwrite(vgrp, "dim", [sz...])
-    return
-end
-_hdf5plot_gwrite(grp, k::String, v::Array) =
-	_hdf5plot_gwritearray(grp, k, v)
-function _hdf5plot_gwrite(grp, k::String, v::Extrema)
-    grp[k] = [v.emin, v.emax]
-    _hdf5plot_writetype(grp, k, Extrema)
-end
-function _hdf5plot_gwrite(grp, k::String, v::Length{T}) where T
-    grp[k] = v.value
-    _hdf5plot_writetype(grp, k, [HDF5PLOT_MAP_TELEM2STR[Length], string(T)])
-end
-
-# Write more complex structures:
-# ----------------------------------------------------------------
-
-function _hdf5plot_gwrite(grp, k::String, v::Plot)
-    #Don't write plot references
-end
-function _hdf5plot_gwrite(grp, k::String, v::HDF5PLOT_SIMPLESUBSTRUCT)
-    _hdf5plot_gwritefields(grp, k, v)
-    return
-end
-function _hdf5plot_gwrite(grp, k::String, v::Axis)
-    grp = HDF5.g_create(grp, k)
-    for (_k, _v) in v.d
-        kstr = string(_k)
-        _hdf5plot_gwrite(grp, kstr, _v)
-    end
-    _hdf5plot_writetype(grp, Axis)
-    return
-end
-function _hdf5plot_gwrite(grp, k::String, v::Surface)
-	grp = HDF5.g_create(grp, k)
-	_hdf5plot_gwrite(grp, "data2d", v.surf)
-	_hdf5plot_writetype(grp, Surface)
-end
-#TODO: "Properly" support Nullable using _hdf5plot_writetype?
-function _hdf5plot_gwrite(grp, k::String, v::Nullable)
-    if isnull(v)
-        _hdf5plot_gwrite(grp, k, nothing)
-    else
-        _hdf5plot_gwrite(grp, k, v.value)
-    end
-    return
-end
-
-function _hdf5plot_gwrite(grp, k::String, v::SeriesAnnotations)
-    #Currently no support for SeriesAnnotations
-    return
-end
-function _hdf5plot_gwrite(grp, k::String, v::Subplot)
-    grp = HDF5.g_create(grp, k)
-    _hdf5plot_gwrite(grp, "index", v[:subplot_index])
-    _hdf5plot_writetype(grp, Subplot)
-    return
-end
-function _hdf5plot_write(grp, d::Dict)
-    for (k, v) in d
-        kstr = string(k)
-        _hdf5plot_gwrite(grp, kstr, v)
-    end
-    return
-end
-
-# Write main plot structures:
-# ----------------------------------------------------------------
-
-function _hdf5plot_write(sp::Subplot{HDF5Backend}, subpath::String, f)
-    f = f::HDF5.HDF5File #Assert
-    grp = HDF5.g_create(f, _hdf5_plotelempath("$subpath/attr"))
-    _hdf5plot_write(grp, sp.attr)
-    grp = HDF5.g_create(f, _hdf5_plotelempath("$subpath/series_list"))
-    _hdf5plot_writecount(grp, length(sp.series_list))
-    for (i, series) in enumerate(sp.series_list)
-        grp = HDF5.g_create(f, _hdf5_plotelempath("$subpath/series_list/series$i"))
-        _hdf5plot_write(grp, series.d)
-    end
-
-    return
-end
-
-function _hdf5plot_write(plt::Plot{HDF5Backend}, f)
-    f = f::HDF5.HDF5File #Assert
-
-    grp = HDF5.g_create(f, _hdf5_plotelempath("attr"))
-    _hdf5plot_write(grp, plt.attr)
-
-    grp = HDF5.g_create(f, _hdf5_plotelempath("subplots"))
-    _hdf5plot_writecount(grp, length(plt.subplots))
-
-    for (i, sp) in enumerate(plt.subplots)
-        _hdf5plot_write(sp, "subplots/subplot$i", f)
-    end
-
-    return
-end
-function hdf5plot_write(plt::Plot{HDF5Backend}, path::AbstractString)
-    HDF5.h5open(path, "w") do file
-        _hdf5plot_write(plt, file)
-    end
-end
-hdf5plot_write(path::AbstractString) = hdf5plot_write(current(), path)
-
-
-#==HDF5 playback (read) functions
-===============================================================================#
-
-function _hdf5plot_readcount(grp) #Read directly from group
-    return HDF5.a_read(grp, _hdf5plot_countid)
-end
-
-_hdf5plot_convert(T::Type{HDF5PlotNative}, v) = v
-_hdf5plot_convert(T::Type{Void}, v) = nothing
-_hdf5plot_convert(T::Type{Bool}, v) = (v!=0)
-_hdf5plot_convert(T::Type{Symbol}, v) = Symbol(v)
-_hdf5plot_convert(T::Type{Tuple}, v) = tuple(v...) #With Vector{T<:Number}
-function _hdf5plot_convert(T::Type{ARGB{N0f8}}, v)
-    r, g, b, a = reinterpret(N0f8, v)
-    return Colors.ARGB{N0f8}(r, g, b, a)
-end
-_hdf5plot_convert(T::Type{Extrema}, v) = Extrema(v[1], v[2])
-
-# Read data structures:
-# ----------------------------------------------------------------
-
-function _hdf5plot_read(grp, k::String, T::Type, dtid)
-    v = HDF5.d_read(grp, k)
-    return _hdf5plot_convert(T, v)
-end
-function _hdf5plot_read(grp, k::String, T::Type{Length}, dtid::Vector)
-    v = HDF5.d_read(grp, k)
-    TU = Symbol(dtid[2])
-    T = typeof(v)
-    return Length{TU,T}(v)
-end
-
-# Read more complex data structures:
-# ----------------------------------------------------------------
-function _hdf5plot_read(grp, k::String, T::Type{Font}, dtid)
-    grp = HDF5.g_open(grp, k)
-
-    family = _hdf5plot_read(grp, "family")
-    pointsize = _hdf5plot_read(grp, "pointsize")
-    halign = _hdf5plot_read(grp, "halign")
-    valign = _hdf5plot_read(grp, "valign")
-    rotation = _hdf5plot_read(grp, "rotation")
-    color = _hdf5plot_read(grp, "color")
-    return Font(family, pointsize, halign, valign, rotation, color)
-end
-function _hdf5plot_read(grp, k::String, T::Type{Array}, dtid) #ANY
-    grp = HDF5.g_open(grp, k)
-    sz = _hdf5plot_read(grp, "dim")
-    if [0] == sz; return []; end
-    sz = tuple(sz...)
-    result = Array{Any}(sz)
-
-    for iter in eachindex(result)
-        coord = ind2sub(sz, iter)
-        idxstr = join(coord, "_")
-        result[iter] = _hdf5plot_read(grp, "v$idxstr")
-    end
-
-    #Hack: Implicitly make Julia detect element type.
-    #      (Should probably write it explicitly to file)
-    result = [result[iter] for iter in eachindex(result)] #Potentially make more specific
-    return reshape(result, sz)
-end
-function _hdf5plot_read(grp, k::String, T::Type{HDF5CTuple}, dtid)
-    v = _hdf5plot_read(grp, k, Array, dtid)
-    return tuple(v...)
-end
-function _hdf5plot_read(grp, k::String, T::Type{ColorGradient}, dtid)
-    grp = HDF5.g_open(grp, k)
-
-    colors = _hdf5plot_read(grp, "colors")
-    values = _hdf5plot_read(grp, "values")
-    return ColorGradient(colors, values)
-end
-function _hdf5plot_read(grp, k::String, T::Type{BoundingBox}, dtid)
-    grp = HDF5.g_open(grp, k)
-
-    x0 = _hdf5plot_read(grp, "x0")
-    a = _hdf5plot_read(grp, "a")
-    return BoundingBox(x0, a)
-end
-_hdf5plot_read(grp, k::String, T::Type{RootLayout}, dtid) = RootLayout()
-function _hdf5plot_read(grp, k::String, T::Type{GridLayout}, dtid)
-    grp = HDF5.g_open(grp, k)
-
-#    parent = _hdf5plot_read(grp, "parent")
-parent = RootLayout()
-    minpad = _hdf5plot_read(grp, "minpad")
-    bbox = _hdf5plot_read(grp, "bbox")
-    grid = _hdf5plot_read(grp, "grid")
-    widths = _hdf5plot_read(grp, "widths")
-    heights = _hdf5plot_read(grp, "heights")
-    attr = KW() #TODO support attr: _hdf5plot_read(grp, "attr")
-
-    return GridLayout(parent, minpad, bbox, grid, widths, heights, attr)
-end
-function _hdf5plot_read(grp, k::String, T::Type{Axis}, dtid)
-    grp = HDF5.g_open(grp, k)
-    kwlist = KW()
-    _hdf5plot_read(grp, kwlist)
-    return Axis([], kwlist)
-end
-function _hdf5plot_read(grp, k::String, T::Type{Surface}, dtid)
-    grp = HDF5.g_open(grp, k)
-    data2d = _hdf5plot_read(grp, "data2d")
-    return Surface(data2d)
-end
-function _hdf5plot_read(grp, k::String, T::Type{Subplot}, dtid)
-    grp = HDF5.g_open(grp, k)
-    idx = _hdf5plot_read(grp, "index")
-    return HDF5PLOT_PLOTREF.ref.subplots[idx]
-end
-function _hdf5plot_read(grp, k::String)
-    dtid = HDF5.a_read(grp[k], _hdf5plot_datatypeid)
-    T = _hdf5_map_str2telem(dtid) #expect exception
-    return _hdf5plot_read(grp, k, T, dtid)
-end
-
-#Read in values in group to populate d:
-function _hdf5plot_read(grp, d::Dict)
-    gnames = names(grp)
-    for k in gnames
-        try
-            v = _hdf5plot_read(grp, k)
-            d[Symbol(k)] = v
-        catch e
-            @show e
-            @show grp
-            warn("Could not read field $k")
-        end
-    end
-    return
-end
-
-# Read main plot structures:
-# ----------------------------------------------------------------
-
-function _hdf5plot_read(sp::Subplot, subpath::String, f)
-    f = f::HDF5.HDF5File #Assert
-
-    grp = HDF5.g_open(f, _hdf5_plotelempath("$subpath/attr"))
-    kwlist = KW()
-    _hdf5plot_read(grp, kwlist)
-    _hdf5_merge!(sp.attr, kwlist)
-
-    grp = HDF5.g_open(f, _hdf5_plotelempath("$subpath/series_list"))
-    nseries = _hdf5plot_readcount(grp)
-
-    for i in 1:nseries
-        grp = HDF5.g_open(f, _hdf5_plotelempath("$subpath/series_list/series$i"))
-        kwlist = KW()
-        _hdf5plot_read(grp, kwlist)
-        plot!(sp, kwlist[:x], kwlist[:y]) #Add data & create data structures
-        _hdf5_merge!(sp.series_list[end].d, kwlist)
-    end
-
-    return
-end
-
-function _hdf5plot_read(plt::Plot, f)
-    f = f::HDF5.HDF5File #Assert
-    #Assumpltion: subplots are already allocated (plt.subplots)
-
-    HDF5PLOT_PLOTREF.ref = plt #Used when reading "layout"
-    grp = HDF5.g_open(f, _hdf5_plotelempath("attr"))
-    _hdf5plot_read(grp, plt.attr)
-
-    for (i, sp) in enumerate(plt.subplots)
-        _hdf5plot_read(sp, "subplots/subplot$i", f)
-    end
-
-    return
-end
-
-function hdf5plot_read(path::AbstractString)
-    plt = nothing
-    HDF5.h5open(path, "r") do file
-        grp = HDF5.g_open(file, _hdf5_plotelempath("subplots"))
-        n = _hdf5plot_readcount(grp)
-        plt = plot(layout=n) #Get reference to a new plot
-        _hdf5plot_read(plt, file)
-    end
-    return plt
-end
-
-#Last line
@@ -1,7 +1,7 @@

 # https://github.com/JuliaGraphics/Immerse.jl

-supported_attrs(::ImmerseBackend) = supported_attrs(GadflyBackend())
+supported_args(::ImmerseBackend) = supported_args(GadflyBackend())
 supported_types(::ImmerseBackend) = supported_types(GadflyBackend())
 supported_styles(::ImmerseBackend) = supported_styles(GadflyBackend())
 supported_markers(::ImmerseBackend) = supported_markers(GadflyBackend())
@@ -14,7 +14,7 @@ function _initialize_backend(::ImmerseBackend; kw...)
  @eval begin
    import Immerse, Gadfly, Compose, Gtk
    export Immerse, Gadfly, Compose, Gtk
-    include(joinpath(dirname(@__FILE__), "gadfly_shapes.jl"))
+    include(joinpath(Pkg.dir("Plots"), "src", "backends", "gadfly_shapes.jl"))
  end
 end

@@ -61,7 +61,7 @@ end

 # ----------------------------------------------------------------

-function _add_annotations(plt::Plot{ImmerseBackend}, anns::AVec{Tuple{X,Y,V}}) where {X,Y,V}
+function _add_annotations{X,Y,V}(plt::Plot{ImmerseBackend}, anns::AVec{@compat(Tuple{X,Y,V})})
  for ann in anns
    push!(getGadflyContext(plt).guides, createGadflyAnnotationObject(ann...))
  end
@@ -76,7 +76,7 @@ function getxy(plt::Plot{ImmerseBackend}, i::Integer)
  mapping[:x], mapping[:y]
 end

-function setxy!(plt::Plot{ImmerseBackend}, xy::Tuple{X,Y}, i::Integer) where {X,Y}
+function setxy!{X,Y}(plt::Plot{ImmerseBackend}, xy::Tuple{X,Y}, i::Integer)
  for mapping in getGadflyMappings(plt, i)
    mapping[:x], mapping[:y] = xy
  end
@@ -1,543 +0,0 @@
-
-# https://github.com/ma-laforge/InspectDR.jl
-
-#=TODO:
-    Tweak scale factor for width & other sizes
-
-Not supported by InspectDR:
-    :foreground_color_grid
-    :foreground_color_border
-    :polar,
-
-Add in functionality to Plots.jl:
-    :aspect_ratio,
-=#
-
-@require Revise begin
-    Revise.track(Plots, joinpath(Pkg.dir("Plots"), "src", "backends", "inspectdr.jl"))
-end
-
-# ---------------------------------------------------------------------------
-#TODO: remove features
-const _inspectdr_attr = merge_with_base_supported([
-    :annotations,
-    :background_color_legend, :background_color_inside, :background_color_outside,
-    # :foreground_color_grid,
-    :foreground_color_legend, :foreground_color_title,
-    :foreground_color_axis, :foreground_color_border, :foreground_color_guide, :foreground_color_text,
-    :label,
-    :linecolor, :linestyle, :linewidth, :linealpha,
-    :markershape, :markercolor, :markersize, :markeralpha,
-    :markerstrokewidth, :markerstrokecolor, :markerstrokealpha,
-    :markerstrokestyle, #Causes warning not to have it... what is this?
-    :fillcolor, :fillalpha, #:fillrange,
-#    :bins, :bar_width, :bar_edges, :bar_position,
-    :title, :title_location,
-    :window_title,
-    :guide, :lims, :scale, #:ticks, :flip, :rotation,
-    :titlefontfamily, :titlefontsize, :titlefontcolor,
-    :legendfontfamily, :legendfontsize, :legendfontcolor,
-    :tickfontfamily, :tickfontsize, :tickfontcolor,
-    :guidefontfamily, :guidefontsize, :guidefontcolor,
-    :grid, :legend, #:colorbar,
-#    :marker_z,
-#    :line_z,
-#    :levels,
- #   :ribbon, :quiver, :arrow,
-#    :orientation,
-    :overwrite_figure,
-    :polar,
-#    :normalize, :weights,
-#    :contours, :aspect_ratio,
-    :match_dimensions,
-#    :clims,
-#    :inset_subplots,
-    :dpi,
-#    :colorbar_title,
-  ])
-const _inspectdr_style = [:auto, :solid, :dash, :dot, :dashdot]
-const _inspectdr_seriestype = [
-        :path, :scatter, :shape, :straightline, #, :steppre, :steppost
-    ]
-#see: _allMarkers, _shape_keys
-const _inspectdr_marker = Symbol[
-    :none, :auto,
-    :circle, :rect, :diamond,
-    :cross, :xcross,
-    :utriangle, :dtriangle, :rtriangle, :ltriangle,
-    :pentagon, :hexagon, :heptagon, :octagon,
-    :star4, :star5, :star6, :star7, :star8,
-    :vline, :hline, :+, :x,
-]
-
-const _inspectdr_scale = [:identity, :ln, :log2, :log10]
-
-is_marker_supported(::InspectDRBackend, shape::Shape) = true
-
-_inspectdr_to_pixels(bb::BoundingBox) =
-    InspectDR.BoundingBox(to_pixels(left(bb)), to_pixels(right(bb)), to_pixels(top(bb)), to_pixels(bottom(bb)))
-
-#Do we avoid Map to avoid possible pre-comile issues?
-function _inspectdr_mapglyph(s::Symbol)
-    s == :rect && return :square
-    return s
-end
-
-function _inspectdr_mapglyph(s::Shape)
-    x, y = coords(s)
-    return InspectDR.GlyphPolyline(x, y)
-end
-
-# py_marker(markers::AVec) = map(py_marker, markers)
-function _inspectdr_mapglyph(markers::AVec)
-    warn("Vectors of markers are currently unsupported in InspectDR.")
-    _inspectdr_mapglyph(markers[1])
-end
-
-_inspectdr_mapglyphsize(v::Real) = v
-function _inspectdr_mapglyphsize(v::Vector)
-    warn("Vectors of marker sizes are currently unsupported in InspectDR.")
-    _inspectdr_mapglyphsize(v[1])
-end
-
-_inspectdr_mapcolor(v::Colorant) = v
-function _inspectdr_mapcolor(g::PlotUtils.ColorGradient)
-    warn("Color gradients are currently unsupported in InspectDR.")
-    #Pick middle color:
-    _inspectdr_mapcolor(g.colors[div(1+end,2)])
-end
-function _inspectdr_mapcolor(v::AVec)
-    warn("Vectors of colors are currently unsupported in InspectDR.")
-    #Pick middle color:
-    _inspectdr_mapcolor(v[div(1+end,2)])
-end
-
-#Hack: suggested point size does not seem adequate relative to plot size, for some reason.
-_inspectdr_mapptsize(v) = 1.5*v
-
-function _inspectdr_add_annotations(plot, x, y, val)
-    #What kind of annotation is this?
-end
-
-#plot::InspectDR.Plot2D
-function _inspectdr_add_annotations(plot, x, y, val::PlotText)
-    vmap = Dict{Symbol, Symbol}(:top=>:t, :bottom=>:b) #:vcenter
-    hmap = Dict{Symbol, Symbol}(:left=>:l, :right=>:r) #:hcenter
-    align = Symbol(get(vmap, val.font.valign, :c), get(hmap, val.font.halign, :c))
-    fnt = InspectDR.Font(val.font.family, val.font.pointsize,
-        color =_inspectdr_mapcolor(val.font.color)
-    )
-    ann = InspectDR.atext(val.str, x=x, y=y,
-        font=fnt, angle=val.font.rotation, align=align
-    )
-    InspectDR.add(plot, ann)
-    return
-end
-
-# ---------------------------------------------------------------------------
-
-function _inspectdr_getscale(s::Symbol, yaxis::Bool)
-#TODO: Support :asinh, :sqrt
-    kwargs = yaxis ? (:tgtmajor=>8, :tgtminor=>2) : () #More grid lines on y-axis
-    if :log2 == s
-        return InspectDR.AxisScale(:log2; kwargs...)
-    elseif :log10 == s
-        return InspectDR.AxisScale(:log10; kwargs...)
-    elseif :ln == s
-        return InspectDR.AxisScale(:ln; kwargs...)
-    else #identity
-        return InspectDR.AxisScale(:lin; kwargs...)
-    end
-end
-
-# ---------------------------------------------------------------------------
-
-function add_backend_string(::InspectDRBackend)
-    """
-    if !Plots.is_installed("InspectDR")
-        Pkg.add("InspectDR")
-    end
-    """
-end
-
-function _initialize_backend(::InspectDRBackend; kw...)
-    @eval begin
-        import InspectDR
-        export InspectDR
-
-        #Glyph used when plotting "Shape"s:
-        const INSPECTDR_GLYPH_SHAPE = InspectDR.GlyphPolyline(
-            2*InspectDR.GLYPH_SQUARE.x, InspectDR.GLYPH_SQUARE.y
-        )
-
-        mutable struct InspecDRPlotRef
-            mplot::Union{Void, InspectDR.Multiplot}
-            gui::Union{Void, InspectDR.GtkPlot}
-        end
-
-        _inspectdr_getmplot(::Any) = nothing
-        _inspectdr_getmplot(r::InspecDRPlotRef) = r.mplot
-
-        _inspectdr_getgui(::Any) = nothing
-        _inspectdr_getgui(gplot::InspectDR.GtkPlot) = (gplot.destroyed ? nothing : gplot)
-        _inspectdr_getgui(r::InspecDRPlotRef) = _inspectdr_getgui(r.gui)
-    end
-end
-
-# ---------------------------------------------------------------------------
-
-# Create the window/figure for this backend.
-function _create_backend_figure(plt::Plot{InspectDRBackend})
-    mplot = _inspectdr_getmplot(plt.o)
-    gplot = _inspectdr_getgui(plt.o)
-
-    #:overwrite_figure: want to reuse current figure
-    if plt[:overwrite_figure] && mplot != nothing
-        mplot.subplots = [] #Reset
-        if gplot != nothing #Ensure still references current plot
-            gplot.src = mplot
-        end
-    else #want new one:
-        mplot = InspectDR.Multiplot()
-        gplot = nothing #Will be created later
-    end
-
-    #break link with old subplots
-    for sp in plt.subplots
-        sp.o = nothing
-    end
-
-    return InspecDRPlotRef(mplot, gplot)
-end
-
-# ---------------------------------------------------------------------------
-
-# # this is called early in the pipeline, use it to make the plot current or something
-# function _prepare_plot_object(plt::Plot{InspectDRBackend})
-# end
-
-# ---------------------------------------------------------------------------
-
-# Set up the subplot within the backend object.
-function _initialize_subplot(plt::Plot{InspectDRBackend}, sp::Subplot{InspectDRBackend})
-    plot = sp.o
-    #Don't do anything without a "subplot" object:  Will process later.
-    if nothing == plot; return; end
-    plot.data = []
-    plot.userannot = [] #Clear old markers/text annotation/polyline "annotation"
-    return plot
-end
-
-# ---------------------------------------------------------------------------
-
-# Add one series to the underlying backend object.
-# Called once per series
-# NOTE: Seems to be called when user calls plot()... even if backend
-#       plot, sp.o has not yet been constructed...
-function _series_added(plt::Plot{InspectDRBackend}, series::Series)
-    st = series[:seriestype]
-    sp = series[:subplot]
-    plot = sp.o
-
-    #Don't do anything without a "subplot" object:  Will process later.
-    if nothing == plot; return; end
-
-    _vectorize(v) = isa(v, Vector) ? v : collect(v) #InspectDR only supports vectors
-    x, y = if st == :straightline
-        straightline_data(series)
-    else
-        _vectorize(series[:x]), _vectorize(series[:y])
-    end
-
-    #No support for polar grid... but can still perform polar transformation:
-    if ispolar(sp)
-        Θ = x; r = y
-        x = r.*cos.(Θ); y = r.*sin.(Θ)
-    end
-
-    # doesn't handle mismatched x/y - wrap data (pyplot behaviour):
-    nx = length(x); ny = length(y)
-    if nx < ny
-        series[:x] = Float64[x[mod1(i,nx)] for i=1:ny]
-    elseif ny > nx
-        series[:y] = Float64[y[mod1(i,ny)] for i=1:nx]
-    end
-
-#= TODO: Eventually support
-    series[:fillcolor] #I think this is fill under line
-    zorder = series[:series_plotindex]
-
-For st in :shape:
-    zorder = series[:series_plotindex],
-=#
-
-    if st in (:shape,)
-        x, y = shape_data(series)
-        nmax = 0
-        for (i,rng) in enumerate(iter_segments(x, y))
-            nmax = i
-            if length(rng) > 1
-                linewidth = series[:linewidth]
-                linecolor = _inspectdr_mapcolor(_cycle(series[:linecolor], i))
-                fillcolor = _inspectdr_mapcolor(_cycle(series[:fillcolor], i))
-                line = InspectDR.line(
-                    style=:solid, width=linewidth, color=linecolor
-                )
-                apline = InspectDR.PolylineAnnotation(
-                    x[rng], y[rng], line=line, fillcolor=fillcolor
-                )
-                InspectDR.add(plot, apline)
-            end
-        end
-
-        i = (nmax >= 2 ? div(nmax, 2) : nmax) #Must pick one set of colors for legend
-        if i > 1 #Add dummy waveform for legend entry:
-            linewidth = series[:linewidth]
-            linecolor = _inspectdr_mapcolor(_cycle(series[:linecolor], i))
-            fillcolor = _inspectdr_mapcolor(_cycle(series[:fillcolor], i))
-            wfrm = InspectDR.add(plot, Float64[], Float64[], id=series[:label])
-            wfrm.line = InspectDR.line(
-                style=:none, width=linewidth, #linewidth affects glyph
-            )
-            wfrm.glyph = InspectDR.glyph(
-                shape = INSPECTDR_GLYPH_SHAPE, size = 8,
-                color = linecolor, fillcolor = fillcolor
-            )
-        end
-   elseif st in (:path, :scatter, :straightline) #, :steppre, :steppost)
-        #NOTE: In Plots.jl, :scatter plots have 0-linewidths (I think).
-        linewidth = series[:linewidth]
-        #More efficient & allows some support for markerstrokewidth:
-        _style = (0==linewidth ? :none : series[:linestyle])
-        wfrm = InspectDR.add(plot, x, y, id=series[:label])
-        wfrm.line = InspectDR.line(
-            style = _style,
-            width = series[:linewidth],
-            color = series[:linecolor],
-        )
-        #InspectDR does not control markerstrokewidth independently.
-        if :none == _style
-            #Use this property only if no line is displayed:
-            wfrm.line.width = series[:markerstrokewidth]
-        end
-        wfrm.glyph = InspectDR.glyph(
-            shape = _inspectdr_mapglyph(series[:markershape]),
-            size = _inspectdr_mapglyphsize(series[:markersize]),
-            color = _inspectdr_mapcolor(series[:markerstrokecolor]),
-            fillcolor = _inspectdr_mapcolor(series[:markercolor]),
-        )
-    end
-
-    # this is all we need to add the series_annotations text
-    anns = series[:series_annotations]
-    for (xi,yi,str,fnt) in EachAnn(anns, x, y)
-        _inspectdr_add_annotations(plot, xi, yi, PlotText(str, fnt))
-    end
-    return
-end
-
-# ---------------------------------------------------------------------------
-
-# When series data is added/changed, this callback can do dynamic updates to the backend object.
-# note: if the backend rebuilds the plot from scratch on display, then you might not do anything here.
-function _series_updated(plt::Plot{InspectDRBackend}, series::Series)
-    #Nothing to do
-end
-
-# ---------------------------------------------------------------------------
-
-function _inspectdr_setupsubplot(sp::Subplot{InspectDRBackend})
-    const plot = sp.o
-    const strip = plot.strips[1] #Only 1 strip supported with Plots.jl
-
-    xaxis = sp[:xaxis]; yaxis = sp[:yaxis]
-    xgrid_show = xaxis[:grid]
-    ygrid_show = yaxis[:grid]
-
-    strip.grid = InspectDR.GridRect(
-    	vmajor=xgrid_show, # vminor=xgrid_show,
-    	hmajor=ygrid_show, # hminor=ygrid_show,
-    )
-
-        plot.xscale = _inspectdr_getscale(xaxis[:scale], false)
-        strip.yscale = _inspectdr_getscale(yaxis[:scale], true)
-        xmin, xmax  = axis_limits(xaxis)
-        ymin, ymax  = axis_limits(yaxis)
-        if ispolar(sp)
-            #Plots.jl appears to give (xmin,xmax) ≜ (Θmin,Θmax) & (ymin,ymax) ≜ (rmin,rmax)
-            rmax = NaNMath.max(abs(ymin), abs(ymax))
-            xmin, xmax = -rmax, rmax
-            ymin, ymax = -rmax, rmax
-        end
-        plot.xext = InspectDR.PExtents1D() #reset
-        strip.yext = InspectDR.PExtents1D() #reset
-        plot.xext_full = InspectDR.PExtents1D(xmin, xmax)
-        strip.yext_full = InspectDR.PExtents1D(ymin, ymax)
-    a = plot.annotation
-        a.title = sp[:title]
-        a.xlabel = xaxis[:guide]; a.ylabels = [yaxis[:guide]]
-
-    l = plot.layout
-        l[:frame_canvas].fillcolor = _inspectdr_mapcolor(sp[:background_color_subplot])
-        l[:frame_data].fillcolor = _inspectdr_mapcolor(sp[:background_color_inside])
-        l[:frame_data].line.color = _inspectdr_mapcolor(xaxis[:foreground_color_axis])
-        l[:font_title] = InspectDR.Font(sp[:titlefontfamily],
-            _inspectdr_mapptsize(sp[:titlefontsize]),
-            color = _inspectdr_mapcolor(sp[:titlefontcolor])
-        )
-        #Cannot independently control fonts of axes with InspectDR:
-        l[:font_axislabel] = InspectDR.Font(xaxis[:guidefontfamily],
-            _inspectdr_mapptsize(xaxis[:guidefontsize]),
-            color = _inspectdr_mapcolor(xaxis[:guidefontcolor])
-        )
-        l[:font_ticklabel] = InspectDR.Font(xaxis[:tickfontfamily],
-            _inspectdr_mapptsize(xaxis[:tickfontsize]),
-            color = _inspectdr_mapcolor(xaxis[:tickfontcolor])
-        )
-        l[:enable_legend] = (sp[:legend] != :none)
-        #l[:halloc_legend] = 150 #TODO: compute???
-        l[:font_legend] = InspectDR.Font(sp[:legendfontfamily],
-            _inspectdr_mapptsize(sp[:legendfontsize]),
-            color = _inspectdr_mapcolor(sp[:legendfontcolor])
-        )
-        l[:frame_legend].fillcolor = _inspectdr_mapcolor(sp[:background_color_legend])
-end
-
-# called just before updating layout bounding boxes... in case you need to prep
-# for the calcs
-function _before_layout_calcs(plt::Plot{InspectDRBackend})
-    const mplot = _inspectdr_getmplot(plt.o)
-    if nothing == mplot; return; end
-
-    mplot.title = plt[:plot_title]
-    if "" == mplot.title
-        #Don't use window_title... probably not what you want.
-        #mplot.title = plt[:window_title]
-    end
-    mplot.layout[:frame].fillcolor = _inspectdr_mapcolor(plt[:background_color_outside])
-
-    resize!(mplot.subplots, length(plt.subplots))
-    nsubplots = length(plt.subplots)
-    for (i, sp) in enumerate(plt.subplots)
-        if !isassigned(mplot.subplots, i)
-            mplot.subplots[i] = InspectDR.Plot2D()
-        end
-        sp.o = mplot.subplots[i]
-        plot = sp.o
-        _initialize_subplot(plt, sp)
-        _inspectdr_setupsubplot(sp)
-
-        # add the annotations
-        for ann in sp[:annotations]
-            _inspectdr_add_annotations(plot, ann...)
-        end
-    end
-
-    #Do not yet support absolute plot positionning.
-    #Just try to make things look more-or less ok:
-    if nsubplots <= 1
-        mplot.layout[:ncolumns] = 1
-    elseif nsubplots <= 4
-        mplot.layout[:ncolumns] = 2
-    elseif nsubplots <= 6
-        mplot.layout[:ncolumns] = 3
-    elseif nsubplots <= 12
-        mplot.layout[:ncolumns] = 4
-    else
-        mplot.layout[:ncolumns] = 5
-    end
-
-    for series in plt.series_list
-        _series_added(plt, series)
-    end
-    return
-end
-
-# ----------------------------------------------------------------
-
-# Set the (left, top, right, bottom) minimum padding around the plot area
-# to fit ticks, tick labels, guides, colorbars, etc.
-function _update_min_padding!(sp::Subplot{InspectDRBackend})
-    plot = sp.o
-    if !isa(plot, InspectDR.Plot2D); return sp.minpad; end
-    #Computing plotbounds with 0-BoundingBox returns required padding:
-    bb = InspectDR.plotbounds(plot.layout.values, InspectDR.BoundingBox(0,0,0,0))
-    #NOTE: plotbounds always pads for titles, legends, etc. even if not in use.
-    #TODO: possibly zero-out items not in use??
-
-    # add in the user-specified margin to InspectDR padding:
-    leftpad   = abs(bb.xmin)*px + sp[:left_margin]
-    toppad    = abs(bb.ymin)*px + sp[:top_margin]
-    rightpad  = abs(bb.xmax)*px + sp[:right_margin]
-    bottompad = abs(bb.ymax)*px + sp[:bottom_margin]
-    sp.minpad = (leftpad, toppad, rightpad, bottompad)
-end
-
-# ----------------------------------------------------------------
-
-# Override this to update plot items (title, xlabel, etc), and add annotations (d[:annotations])
-function _update_plot_object(plt::Plot{InspectDRBackend})
-    mplot = _inspectdr_getmplot(plt.o)
-    if nothing == mplot; return; end
-
-    for (i, sp) in enumerate(plt.subplots)
-        graphbb = _inspectdr_to_pixels(plotarea(sp))
-        plot = mplot.subplots[i]
-        plot.plotbb = InspectDR.plotbounds(plot.layout.values, graphbb)
-    end
-
-    gplot = _inspectdr_getgui(plt.o)
-    if nothing == gplot; return; end
-
-    gplot.src = mplot #Ensure still references current plot
-    InspectDR.refresh(gplot)
-    return
-end
-
-# ----------------------------------------------------------------
-
-const _inspectdr_mimeformats_dpi = Dict(
-    "image/png"               => "png"
-)
-const _inspectdr_mimeformats_nodpi = Dict(
-    "image/svg+xml"           => "svg",
-    "application/eps"         => "eps",
-    "image/eps"               => "eps",
-#    "application/postscript"  => "ps", #TODO: support once Cairo supports PSSurface
-    "application/pdf"         => "pdf"
-)
-_inspectdr_show(io::IO, mime::MIME, ::Void, w, h) =
-    throw(ErrorException("Cannot show(::IO, ...) plot - not yet generated"))
-function _inspectdr_show(io::IO, mime::MIME, mplot, w, h)
-    InspectDR._show(io, mime, mplot, Float64(w), Float64(h))
-end
-
-for (mime, fmt) in _inspectdr_mimeformats_dpi
-    @eval function _show(io::IO, mime::MIME{Symbol($mime)}, plt::Plot{InspectDRBackend})
-        dpi = plt[:dpi]#TODO: support
-        _inspectdr_show(io, mime, _inspectdr_getmplot(plt.o), plt[:size]...)
-    end
-end
-for (mime, fmt) in _inspectdr_mimeformats_nodpi
-    @eval function _show(io::IO, mime::MIME{Symbol($mime)}, plt::Plot{InspectDRBackend})
-        _inspectdr_show(io, mime, _inspectdr_getmplot(plt.o), plt[:size]...)
-    end
-end
-
-# ----------------------------------------------------------------
-
-# Display/show the plot (open a GUI window, or browser page, for example).
-function _display(plt::Plot{InspectDRBackend})
-    mplot = _inspectdr_getmplot(plt.o)
-    if nothing == mplot; return; end
-    gplot = _inspectdr_getgui(plt.o)
-
-    if nothing == gplot
-        gplot = display(InspectDR.GtkDisplay(), mplot)
-    else
-        #redundant... Plots.jl will call _update_plot_object:
-        #InspectDR.refresh(gplot)
-    end
-    plt.o = InspecDRPlotRef(mplot, gplot)
-    return gplot
-end
@@ -2,18 +2,13 @@

 # significant contributions by: @pkofod

-@require Revise begin
-    Revise.track(Plots, joinpath(Pkg.dir("Plots"), "src", "backends", "pgfplots.jl"))
-end
-
-const _pgfplots_attr = merge_with_base_supported([
-    :annotations,
-    :background_color_legend,
+supported_args(::PGFPlotsBackend) = 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,
+    # :foreground_color_legend, :foreground_color_grid, :foreground_color_axis,
+    #     :foreground_color_text, :foreground_color_border,
    :label,
    :seriescolor, :seriesalpha,
    :linecolor, :linestyle, :linewidth, :linealpha,
@@ -27,34 +22,25 @@ const _pgfplots_attr = merge_with_base_supported([
    :guide, :lims, :ticks, :scale, :flip, :rotation,
    :tickfont, :guidefont, :legendfont,
    :grid, :legend,
-    :colorbar,
-    :fill_z, :line_z, :marker_z, :levels,
+    # :colorbar,
+    # :marker_z, :levels,
    # :ribbon, :quiver, :arrow,
    # :orientation,
    # :overwrite_figure,
-    :polar,
+    # :polar,
    # :normalize, :weights, :contours,
    :aspect_ratio,
    # :match_dimensions,
-    :tick_direction,
-    :framestyle,
-    :camera,
-    :contour_labels,
  ])
-const _pgfplots_seriestype = [:path, :path3d, :scatter, :steppre, :stepmid, :steppost, :histogram2d, :ysticks, :xsticks, :contour, :shape, :straightline,]
-const _pgfplots_style = [:auto, :solid, :dash, :dot, :dashdot, :dashdotdot]
-const _pgfplots_marker = [:none, :auto, :circle, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5, :pentagon, :hline] #vcat(_allMarkers, Shape)
-const _pgfplots_scale = [:identity, :ln, :log2, :log10]
+supported_types(::PGFPlotsBackend) = [:path, :path3d, :scatter, :steppre, :stepmid, :steppost, :histogram2d, :ysticks, :xsticks, :contour]
+supported_styles(::PGFPlotsBackend) = [:auto, :solid, :dash, :dot, :dashdot, :dashdotdot]
+supported_markers(::PGFPlotsBackend) = [:none, :auto, :circle, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5, :pentagon] #vcat(_allMarkers, Shape)
+supported_scales(::PGFPlotsBackend) = [:identity, :ln, :log2, :log10]
+is_subplot_supported(::PGFPlotsBackend) = false


 # --------------------------------------------------------------------------------------

-function add_backend_string(::PGFPlotsBackend)
-    """
-    Pkg.add("PGFPlots")
-    Pkg.build("PGFPlots")
-    """
-end

 function _initialize_backend(::PGFPlotsBackend; kw...)
    @eval begin
@@ -78,8 +64,6 @@ const _pgfplots_markers = KW(
    :none => "none",
    :cross => "+",
    :xcross => "x",
-    :+ => "+",
-    :x => "x",
    :utriangle => "triangle*",
    :dtriangle => "triangle*",
    :circle => "*",
@@ -88,7 +72,6 @@ const _pgfplots_markers = KW(
    :star6 => "asterisk",
    :diamond => "diamond*",
    :pentagon => "pentagon*",
-    :hline => "-"
 )

 const _pgfplots_legend_pos = KW(
@@ -96,7 +79,6 @@ const _pgfplots_legend_pos = KW(
    :bottomright => "south east",
    :topright => "north east",
    :topleft => "north west",
-    :outertopright => "outer north east",
 )


@@ -109,131 +91,69 @@ const _pgf_series_extrastyle = KW(
    :xsticks => "xcomb",
 )

-# PGFPlots uses the anchors to define orientations for example to align left
-# one needs to use the right edge as anchor
-const _pgf_annotation_halign = KW(
-    :center => "",
-    :left => "right",
-    :right => "left"
-)
-
-const _pgf_framestyles = [:box, :axes, :origin, :zerolines, :grid, :none]
-const _pgf_framestyle_defaults = Dict(:semi => :box)
-function pgf_framestyle(style::Symbol)
-    if style in _pgf_framestyles
-        return style
-    else
-        default_style = get(_pgf_framestyle_defaults, style, :axes)
-        warn("Framestyle :$style is not (yet) supported by the PGFPlots backend. :$default_style was cosen instead.")
-        default_style
-    end
-end
-
 # --------------------------------------------------------------------------------------

 # takes in color,alpha, and returns color and alpha appropriate for pgf style
-function pgf_color(c::Colorant)
+function pgf_color(c)
    cstr = @sprintf("{rgb,1:red,%.8f;green,%.8f;blue,%.8f}", red(c), green(c), blue(c))
    cstr, alpha(c)
 end

-function pgf_color(grad::ColorGradient)
-    # Can't handle ColorGradient here, fallback to defaults.
-    cstr = @sprintf("{rgb,1:red,%.8f;green,%.8f;blue,%.8f}", 0.0, 0.60560316,0.97868012)
-    cstr, 1
-end
-
-# Generates a colormap for pgfplots based on a ColorGradient
-function pgf_colormap(grad::ColorGradient)
-    join(map(grad.colors) do c
-        @sprintf("rgb=(%.8f,%.8f,%.8f)", red(c), green(c),blue(c))
-    end,", ")
-end
-
-pgf_thickness_scaling(plt::Plot) = plt[:thickness_scaling]
-pgf_thickness_scaling(sp::Subplot) = pgf_thickness_scaling(sp.plt)
-pgf_thickness_scaling(series) = pgf_thickness_scaling(series[:subplot])
-
-function pgf_fillstyle(d, i = 1)
-    cstr,a = pgf_color(get_fillcolor(d, i))
-    fa = get_fillalpha(d, i)
-    if fa != nothing
-        a = fa
-    end
+function pgf_fillstyle(d::KW)
+    cstr,a = pgf_color(d[:fillcolor])
    "fill = $cstr, fill opacity=$a"
 end

-function pgf_linestyle(linewidth::Real, color, α = 1, linestyle = "solid")
-    cstr, a = pgf_color(plot_color(color, α))
+function pgf_linestyle(d::KW)
+    cstr,a = pgf_color(d[:linecolor])
    """
    color = $cstr,
-    draw opacity = $a,
-    line width = $linewidth,
-    $(get(_pgfplots_linestyles, linestyle, "solid"))"""
+    draw opacity=$a,
+    line width=$(d[:linewidth]),
+    $(get(_pgfplots_linestyles, d[:linestyle], "solid"))"""
 end

-function pgf_linestyle(d, i = 1)
-    lw = pgf_thickness_scaling(d) * get_linewidth(d, i)
-    lc = get_linecolor(d, i)
-    la = get_linealpha(d, i)
-    ls = get_linestyle(d, i)
-    return pgf_linestyle(lw, lc, la, ls)
-end
-
-function pgf_font(fontsize, thickness_scaling = 1, font = "\\selectfont")
-    fs = fontsize * thickness_scaling
-    return string("{\\fontsize{", fs, " pt}{", 1.3fs, " pt}", font, "}")
-end
-
-function pgf_marker(d, i = 1)
-    shape = _cycle(d[:markershape], i)
-    cstr, a = pgf_color(plot_color(get_markercolor(d, i), get_markeralpha(d, i)))
-    cstr_stroke, a_stroke = pgf_color(plot_color(get_markerstrokecolor(d, i), get_markerstrokealpha(d, i)))
+function pgf_marker(d::KW)
+    shape = d[:markershape]
+    cstr, a = pgf_color(d[:markercolor])
+    cstr_stroke, a_stroke = pgf_color(d[:markerstrokecolor])
    """
    mark = $(get(_pgfplots_markers, shape, "*")),
-    mark size = $(pgf_thickness_scaling(d) * 0.5 * _cycle(d[:markersize], i)),
+    mark size = $(0.5 * d[:markersize]),
    mark options = {
        color = $cstr_stroke, draw opacity = $a_stroke,
        fill = $cstr, fill opacity = $a,
-        line width = $(pgf_thickness_scaling(d) * _cycle(d[:markerstrokewidth], i)),
+        line width = $(d[:markerstrokewidth]),
        rotate = $(shape == :dtriangle ? 180 : 0),
-        $(get(_pgfplots_linestyles, _cycle(d[:markerstrokestyle], i), "solid"))
+        $(get(_pgfplots_linestyles, d[:markerstrokestyle], "solid"))
    }"""
 end

-function pgf_add_annotation!(o, x, y, val, thickness_scaling = 1)
-    # Construct the style string.
-    # Currently supports color and orientation
-    cstr,a = pgf_color(val.font.color)
-    push!(o, PGFPlots.Plots.Node(val.str, # Annotation Text
-        x, y,
-        style="""
-        $(get(_pgf_annotation_halign,val.font.halign,"")),
-        color=$cstr, draw opacity=$(convert(Float16,a)),
-        rotate=$(val.font.rotation),
-        font=$(pgf_font(val.font.pointsize, thickness_scaling))
-        """))
-end
-
 # --------------------------------------------------------------------------------------

 function pgf_series(sp::Subplot, series::Series)
    d = series.d
    st = d[:seriestype]
-    series_collection = PGFPlots.Plot[]
+    style = []
+    kw = KW()
+
+    push!(style, pgf_linestyle(d))
+    push!(style, pgf_marker(d))
+
+    if d[:fillrange] != nothing
+        push!(style, pgf_fillstyle(d))
+    end
+
+    # add to legend?
+    if sp[:legend] != :none && should_add_to_legend(series)
+        kw[:legendentry] = d[:label]
+    end

    # function args
-    args = if st == :contour
+    args = if st  == :contour
        d[:z].surf, d[:x], d[:y]
    elseif is3d(st)
        d[:x], d[:y], d[:z]
-    elseif st == :straightline
-        straightline_data(series)
-    elseif st == :shape
-        shape_data(series)
-    elseif ispolar(sp)
-        theta, r = filter_radial_data(d[:x], d[:y], axis_limits(sp[:yaxis]))
-        rad2deg.(theta), r
    else
        d[:x], d[:y]
    end
@@ -244,131 +164,34 @@ function pgf_series(sp::Subplot, series::Series)
        else
            a
        end, args)
+    # for (i,a) in enumerate(args)
+    #     if typeof(a) <: AbstractVector && typeof(a) != Vector
+    #         args[i] = collect(a)
+    #     end
+    # end

-    if st in (:contour, :histogram2d)
-        style = []
-        kw = KW()
-        push!(style, pgf_linestyle(d))
-        push!(style, pgf_marker(d))
-        push!(style, "forget plot")
-
-        kw[:style] = join(style, ',')
-        func = if st == :histogram2d
-            PGFPlots.Histogram2
-        else
-            kw[:labels] = series[:contour_labels]
-            kw[:levels] = series[:levels]
-            PGFPlots.Contour
-        end
-        push!(series_collection, func(args...; kw...))
-
-    else
-        # series segments
-        segments = iter_segments(series)
-        for (i, rng) in enumerate(segments)
-            style = []
-            kw = KW()
-            push!(style, pgf_linestyle(d, i))
-            push!(style, pgf_marker(d, i))
-
-            if st == :shape
-                push!(style, pgf_fillstyle(d, i))
-            end
-
-            # add to legend?
-            if i == 1 && sp[:legend] != :none && should_add_to_legend(series)
-                if d[:fillrange] != nothing
-                    push!(style, "forget plot")
-                    push!(series_collection, pgf_fill_legend_hack(d, args))
-                else
-                    kw[:legendentry] = d[:label]
-                    if st == :shape # || d[:fillrange] != nothing
-                        push!(style, "area legend")
-                    end
-                end
-            else
-                push!(style, "forget plot")
-            end
-
-            seg_args = (arg[rng] for arg in args)
-
-            # include additional style, then add to the kw
-            if haskey(_pgf_series_extrastyle, st)
-                push!(style, _pgf_series_extrastyle[st])
-            end
-            kw[:style] = join(style, ',')
-
-            # add fillrange
-            if series[:fillrange] != nothing && st != :shape
-                push!(series_collection, pgf_fillrange_series(series, i, _cycle(series[:fillrange], rng), seg_args...))
-            end
-
-            # build/return the series object
-            func = if st == :path3d
-                PGFPlots.Linear3
-            elseif st == :scatter
-                PGFPlots.Scatter
-            else
-                PGFPlots.Linear
-            end
-            push!(series_collection, func(seg_args...; kw...))
-        end
-    end
-    series_collection
-end
-
-function pgf_fillrange_series(series, i, fillrange, args...)
-    st = series[:seriestype]
-    style = []
-    kw = KW()
-    push!(style, "line width = 0")
-    push!(style, "draw opacity = 0")
-    push!(style, pgf_fillstyle(series, i))
-    push!(style, pgf_marker(series, i))
-    push!(style, "forget plot")
+    # include additional style, then add to the kw
    if haskey(_pgf_series_extrastyle, st)
        push!(style, _pgf_series_extrastyle[st])
    end
    kw[:style] = join(style, ',')
-    func = is3d(series) ? PGFPlots.Linear3 : PGFPlots.Linear
-    return func(pgf_fillrange_args(fillrange, args...)...; kw...)
-end

-function pgf_fillrange_args(fillrange, x, y)
-    n = length(x)
-    x_fill = [x; x[n:-1:1]; x[1]]
-    y_fill = [y; _cycle(fillrange, n:-1:1); y[1]]
-    return x_fill, y_fill
-end
-
-function pgf_fillrange_args(fillrange, x, y, z)
-    n = length(x)
-    x_fill = [x; x[n:-1:1]; x[1]]
-    y_fill = [y; y[n:-1:1]; x[1]]
-    z_fill = [z; _cycle(fillrange, n:-1:1); z[1]]
-    return x_fill, y_fill, z_fill
-end
-
-function pgf_fill_legend_hack(d, args)
-    style = []
-    kw = KW()
-    push!(style, pgf_linestyle(d, 1))
-    push!(style, pgf_marker(d, 1))
-    push!(style, pgf_fillstyle(d, 1))
-    push!(style, "area legend")
-    kw[:legendentry] = d[:label]
-    kw[:style] = join(style, ',')
-    st = d[:seriestype]
+    # build/return the series object
    func = if st == :path3d
        PGFPlots.Linear3
    elseif st == :scatter
        PGFPlots.Scatter
+    elseif st == :histogram2d
+        PGFPlots.Histogram2
+    elseif st == :contour
+        PGFPlots.Contour
    else
        PGFPlots.Linear
    end
-    return func(([arg[1]] for arg in args)...; kw...)
+    func(args...; kw...)
 end

+
 # ----------------------------------------------------------------

 function pgf_axis(sp::Subplot, letter)
@@ -376,19 +199,9 @@ function pgf_axis(sp::Subplot, letter)
    style = []
    kw = KW()

-    # turn off scaled ticks
-    push!(style, "scaled $(letter) ticks = false")
-
-    # set to supported framestyle
-    framestyle = pgf_framestyle(sp[:framestyle])
-
    # axis guide
    kw[Symbol(letter,:label)] = axis[:guide]

-    # Add label font
-    cstr, α = pgf_color(plot_color(axis[:guidefontcolor]))
-    push!(style, string(letter, "label style = {font = ", pgf_font(axis[:guidefontsize], pgf_thickness_scaling(sp)), ", color = ", cstr, ", draw opacity = ", α, ", rotate = ", axis[:guidefontrotation], "}"))
-
    # flip/reverse?
    axis[:flip] && push!(style, "$letter dir=reverse")

@@ -400,76 +213,18 @@ function pgf_axis(sp::Subplot, letter)
    end

    # ticks on or off
-    if axis[:ticks] in (nothing, false, :none) || framestyle == :none
+    if axis[:ticks] in (nothing, false)
        push!(style, "$(letter)majorticks=false")
    end

-    # grid on or off
-    if axis[:grid] && framestyle != :none
-        push!(style, "$(letter)majorgrids = true")
-    else
-        push!(style, "$(letter)majorgrids = false")
-    end
-
    # limits
    # TODO: support zlims
    if letter != :z
-        lims = ispolar(sp) && letter == :x ? rad2deg.(axis_limits(axis)) : axis_limits(axis)
+        lims = axis_limits(axis)
        kw[Symbol(letter,:min)] = lims[1]
        kw[Symbol(letter,:max)] = lims[2]
    end

-    if !(axis[:ticks] in (nothing, false, :none, :native)) && framestyle != :none
-        ticks = get_ticks(axis)
-        #pgf plot ignores ticks with angle below 90 when xmin = 90 so shift values
-        tick_values = ispolar(sp) && letter == :x ? [rad2deg.(ticks[1])[3:end]..., 360, 405] : ticks[1]
-        push!(style, string(letter, "tick = {", join(tick_values,","), "}"))
-        if axis[:showaxis] && axis[:scale] in (:ln, :log2, :log10) && axis[:ticks] == :auto
-            # wrap the power part of label with }
-            tick_labels = String[begin
-                base, power = split(label, "^")
-                power = string("{", power, "}")
-                string(base, "^", power)
-            end for label in ticks[2]]
-            push!(style, string(letter, "ticklabels = {\$", join(tick_labels,"\$,\$"), "\$}"))
-        elseif axis[:showaxis]
-            tick_labels = ispolar(sp) && letter == :x ? [ticks[2][3:end]..., "0", "45"] : ticks[2]
-            if axis[:formatter] in (:scientific, :auto)
-                tick_labels = string.("\$", convert_sci_unicode.(tick_labels), "\$")
-                tick_labels = replace.(tick_labels, "×", "\\times")
-            end
-            push!(style, string(letter, "ticklabels = {", join(tick_labels,","), "}"))
-        else
-            push!(style, string(letter, "ticklabels = {}"))
-        end
-        push!(style, string(letter, "tick align = ", (axis[:tick_direction] == :out ? "outside" : "inside")))
-        cstr, α = pgf_color(plot_color(axis[:tickfontcolor]))
-        push!(style, string(letter, "ticklabel style = {font = ", pgf_font(axis[:tickfontsize], pgf_thickness_scaling(sp)), ", color = ", cstr, ", draw opacity = ", α, ", rotate = ", axis[:tickfontrotation], "}"))
-        push!(style, string(letter, " grid style = {", pgf_linestyle(pgf_thickness_scaling(sp) * axis[:gridlinewidth], axis[:foreground_color_grid], axis[:gridalpha], axis[:gridstyle]), "}"))
-    end
-
-    # framestyle
-    if framestyle in (:axes, :origin)
-        axispos = framestyle == :axes ? "left" : "middle"
-        # the * after lines disables the arrows at the axes
-        push!(style, string("axis lines* = ", axispos))
-    end
-
-    if framestyle == :zerolines
-        push!(style, string("extra ", letter, " ticks = 0"))
-        push!(style, string("extra ", letter, " tick labels = "))
-        push!(style, string("extra ", letter, " tick style = {grid = major, major grid style = {", pgf_linestyle(pgf_thickness_scaling(sp), axis[:foreground_color_axis], 1.0), "}}"))
-    end
-
-    if !axis[:showaxis]
-        push!(style, "separate axis lines")
-    end
-    if !axis[:showaxis] || framestyle in (:zerolines, :grid, :none)
-        push!(style, string(letter, " axis line style = {draw opacity = 0}"))
-    else
-        push!(style, string(letter, " axis line style = {", pgf_linestyle(pgf_thickness_scaling(sp), axis[:foreground_color_axis], 1.0), "}"))
-    end
-
    # return the style list and KW args
    style, kw
 end
@@ -477,14 +232,10 @@ end
 # ----------------------------------------------------------------


-function _update_plot_object(plt::Plot{PGFPlotsBackend})
+function _make_pgf_plot!(plt::Plot)
    plt.o = PGFPlots.Axis[]
-    # Obtain the total height of the plot by extracting the maximal bottom
-    # coordinate from the bounding box.
-    total_height = bottom(bbox(plt.layout))
-
    for sp in plt.subplots
-       # first build the PGFPlots.Axis object
+        # first build the PGFPlots.Axis object
        style = ["unbounded coords=jump"]
        kw = KW()

@@ -492,30 +243,29 @@ function _update_plot_object(plt::Plot{PGFPlotsBackend})
        for letter in (:x, :y, :z)
            if letter != :z || is3d(sp)
                axisstyle, axiskw = pgf_axis(sp, letter)
-                append!(style, axisstyle)
                merge!(kw, axiskw)
+                for sty in axisstyle
+                    push!(style, sty)
+                end
            end
        end

        # bounding box values are in mm
        # note: bb origin is top-left, pgf is bottom-left
-        # A round on 2 decimal places should be enough precision for 300 dpi
-        # plots.
        bb = bbox(sp)
        push!(style, """
            xshift = $(left(bb).value)mm,
-            yshift = $(round((total_height - (bottom(bb))).value,2))mm,
+            yshift = $((height(bb) - (bottom(bb))).value)mm,
+            width = $(width(bb).value)mm,
+            height = $(height(bb).value)mm,
            axis background/.style={fill=$(pgf_color(sp[:background_color_inside])[1])}
        """)
-        kw[:width] = "$(width(bb).value)mm"
-        kw[:height] = "$(height(bb).value)mm"

        if sp[:title] != ""
-            kw[:title] = "$(sp[:title])"
-            cstr, α = pgf_color(plot_color(sp[:titlefontcolor]))
-            push!(style, string("title style = {font = ", pgf_font(sp[:titlefontsize], pgf_thickness_scaling(sp)), ", color = ", cstr, ", draw opacity = ", α, ", rotate = ", sp[:titlefontrotation], "}"))
+            push!(style, "title = $(sp[:title])")
        end

+        sp[:grid] && push!(style, "grid = major")
        if sp[:aspect_ratio] in (1, :equal)
            kw[:axisEqual] = "true"
        end
@@ -524,81 +274,28 @@ 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)), "}"))

-        if any(s[:seriestype] == :contour for s in series_list(sp))
-            kw[:view] = "{0}{90}"
-            kw[:colorbar] = !(sp[:colorbar] in (:none, :off, :hide, false))
-        elseif is3d(sp)
-            azim, elev = sp[:camera]
-            kw[:view] = "{$(azim)}{$(elev)}"
-        end
-
-        axisf = PGFPlots.Axis
-        if sp[:projection] == :polar
-            axisf = PGFPlots.PolarAxis
-            #make radial axis vertical
-            kw[:xmin] = 90
-            kw[:xmax] = 450
-        end
-
-        # Search series for any gradient. In case one series uses a gradient set
-        # the colorbar and colomap.
-        # The reasoning behind doing this on the axis level is that pgfplots
-        # colorbar seems to only works on axis level and needs the proper colormap for
-        # correctly displaying it.
-        # It's also possible to assign the colormap to the series itself but
-        # then the colormap needs to be added twice, once for the axis and once for the
-        # series.
-        # As it is likely that all series within the same axis use the same
-        # colormap this should not cause any problem.
-        for series in series_list(sp)
-            for col in (:markercolor, :fillcolor, :linecolor)
-                if typeof(series.d[col]) == ColorGradient
-                    push!(style,"colormap={plots}{$(pgf_colormap(series.d[col]))}")
-
-                    if sp[:colorbar] == :none
-                        kw[:colorbar] = "false"
-                    else
-                        kw[:colorbar] = "true"
-                    end
-                    # goto is needed to break out of col and series for
-                    @goto colorbar_end
-                end
-            end
-        end
-        @label colorbar_end
-
-        o = axisf(; style = join(style, ","), kw...)
+        o = PGFPlots.Axis(; style = style, kw...)

        # add the series object to the PGFPlots.Axis
        for series in series_list(sp)
-            push!.(o, pgf_series(sp, series))
-
-            # add series annotations
-            anns = series[:series_annotations]
-            for (xi,yi,str,fnt) in EachAnn(anns, series[:x], series[:y])
-                pgf_add_annotation!(o, xi, yi, PlotText(str, fnt), pgf_thickness_scaling(series))
-            end
+            push!(o, pgf_series(sp, series))
        end

-        # add the annotations
-        for ann in sp[:annotations]
-            pgf_add_annotation!(o, locate_annotation(sp, ann...)..., pgf_thickness_scaling(sp))
-        end
-
-
        # add the PGFPlots.Axis to the list
        push!(plt.o, o)
    end
 end

-function _show(io::IO, mime::MIME"image/svg+xml", plt::Plot{PGFPlotsBackend})
-    show(io, mime, plt.o)
+
+function _writemime(io::IO, mime::MIME"image/svg+xml", plt::Plot{PGFPlotsBackend})
+    _make_pgf_plot!(plt)
+    writemime(io, mime, plt.o)
 end

-function _show(io::IO, mime::MIME"application/pdf", plt::Plot{PGFPlotsBackend})
+function _writemime(io::IO, mime::MIME"application/pdf", plt::Plot{PGFPlotsBackend})
+    _make_pgf_plot!(plt)
+
    # prepare the object
    pgfplt = PGFPlots.plot(plt.o)

@@ -607,20 +304,15 @@ function _show(io::IO, mime::MIME"application/pdf", plt::Plot{PGFPlotsBackend})
    PGFPlots.save(PGFPlots.PDF(fn), pgfplt)

    # read it into io
-    write(io, readstring(open(fn)))
+    write(io, readall(open(fn)))

    # cleanup
    PGFPlots.cleanup(plt.o)
 end

-function _show(io::IO, mime::MIME"application/x-tex", plt::Plot{PGFPlotsBackend})
-    fn = tempname()*".tex"
-    PGFPlots.save(fn, backend_object(plt), include_preamble=false)
-    write(io, readstring(open(fn)))
-end
-
 function _display(plt::Plot{PGFPlotsBackend})
    # prepare the object
+    _make_pgf_plot!(plt)
    pgfplt = PGFPlots.plot(plt.o)

    # save an svg
@@ -1,15 +1,11 @@

 # https://plot.ly/javascript/getting-started

-@require Revise begin
-    Revise.track(Plots, joinpath(Pkg.dir("Plots"), "src", "backends", "plotly.jl"))
-end
-
-const _plotly_attr = merge_with_base_supported([
+supported_args(::PlotlyBackend) = merge_with_base_supported([
    :annotations,
    :background_color_legend, :background_color_inside, :background_color_outside,
    :foreground_color_legend, :foreground_color_guide,
-    :foreground_color_grid, :foreground_color_axis,
+    # :foreground_color_grid, :foreground_color_axis,
    :foreground_color_text, :foreground_color_border,
    :foreground_color_title,
    :label,
@@ -19,76 +15,45 @@ const _plotly_attr = merge_with_base_supported([
    :markerstrokewidth, :markerstrokecolor, :markerstrokealpha, :markerstrokestyle,
    :fillrange, :fillcolor, :fillalpha,
    :bins,
-    :title, :title_location,
-    :titlefontfamily, :titlefontsize, :titlefonthalign, :titlefontvalign,
-    :titlefontcolor,
-    :legendfontfamily, :legendfontsize, :legendfontcolor,
-    :tickfontfamily, :tickfontsize, :tickfontcolor,
-    :guidefontfamily, :guidefontsize, :guidefontcolor,
+    :title, :title_location, :titlefont,
    :window_title,
    :guide, :lims, :ticks, :scale, :flip, :rotation,
    :tickfont, :guidefont, :legendfont,
-    :grid, :gridalpha, :gridlinewidth,
-    :legend, :colorbar, :colorbar_title,
-    :marker_z, :fill_z, :line_z, :levels,
+    :grid, :legend, :colorbar,
+    :marker_z, :levels,
    :ribbon, :quiver,
    :orientation,
    # :overwrite_figure,
    :polar,
    :normalize, :weights,
-    # :contours,
-    :aspect_ratio,
+    # :contours, :aspect_ratio,
    :hover,
    :inset_subplots,
-    :bar_width,
-    :clims,
-    :framestyle,
-    :tick_direction,
-    :camera,
-    :contour_labels,
  ])

-const _plotly_seriestype = [
-    :path, :scatter, :pie, :heatmap,
-    :contour, :surface, :wireframe, :path3d, :scatter3d, :shape, :scattergl,
-    :straightline
+supported_types(::PlotlyBackend) = [
+    :path, :scatter, :bar, :pie, :heatmap,
+    :contour, :surface, :path3d, :scatter3d, :shape, :scattergl,
 ]
-const _plotly_style = [:auto, :solid, :dash, :dot, :dashdot]
-const _plotly_marker = [
+supported_styles(::PlotlyBackend) = [:auto, :solid, :dash, :dot, :dashdot]
+supported_markers(::PlotlyBackend) = [
    :none, :auto, :circle, :rect, :diamond, :utriangle, :dtriangle,
    :cross, :xcross, :pentagon, :hexagon, :octagon, :vline, :hline
 ]
-const _plotly_scale = [:identity, :log10]
+supported_scales(::PlotlyBackend) = [:identity, :log10]
 is_subplot_supported(::PlotlyBackend) = true
-# is_string_supported(::PlotlyBackend) = true
-const _plotly_framestyles = [:box, :axes, :zerolines, :grid, :none]
-const _plotly_framestyle_defaults = Dict(:semi => :box, :origin => :zerolines)
-function _plotly_framestyle(style::Symbol)
-    if style in _plotly_framestyles
-        return style
-    else
-        default_style = get(_plotly_framestyle_defaults, style, :axes)
-        warn("Framestyle :$style is not supported by Plotly and PlotlyJS. :$default_style was cosen instead.")
-        default_style
-    end
-end
+is_string_supported(::PlotlyBackend) = true


 # --------------------------------------------------------------------------------------

-function add_backend_string(::PlotlyBackend)
-    """
-    Pkg.build("Plots")
-    """
-end
-
-
-const _plotly_js_path = joinpath(dirname(@__FILE__), "..", "..", "deps", "plotly-latest.min.js")
-const _plotly_js_path_remote = "https://cdn.plot.ly/plotly-latest.min.js"
-
 function _initialize_backend(::PlotlyBackend; kw...)
  @eval begin
-    _js_code = open(readstring, _plotly_js_path, "r")
+    import JSON
+    JSON._print(io::IO, state::JSON.State, dt::Union{Date,DateTime}) = print(io, '"', dt, '"')
+
+    _js_path = Pkg.dir("Plots", "deps", "plotly-latest.min.js")
+    _js_code = open(@compat(readstring), _js_path, "r")

    # borrowed from https://github.com/plotly/plotly.py/blob/2594076e29584ede2d09f2aa40a8a195b3f3fc66/plotly/offline/offline.py#L64-L71 c/o @spencerlyon2
    _js_script = """
@@ -119,20 +84,6 @@ end

 # ----------------------------------------------------------------

-const _plotly_legend_pos = KW(
-    :right => [1., 0.5],
-    :left => [0., 0.5],
-    :top => [0.5, 1.],
-    :bottom => [0.5, 0.],
-    :bottomleft => [0., 0.],
-    :bottomright => [1., 0.],
-    :topright => [1., 1.],
-    :topleft => [0., 1.]
-    )
-
-plotly_legend_pos(pos::Symbol) = get(_plotly_legend_pos, pos, [1.,1.])
-plotly_legend_pos(v::Tuple{S,T}) where {S<:Real, T<:Real} = v
-
 function plotly_font(font::Font, color = font.color)
    KW(
        :family => font.family,
@@ -141,13 +92,12 @@ function plotly_font(font::Font, color = font.color)
    )
 end

-
 function plotly_annotation_dict(x, y, val; xref="paper", yref="paper")
    KW(
        :text => val,
        :xref => xref,
        :x => x,
-        :yref => yref,
+        :yref => xref,
        :y => y,
        :showarrow => false,
    )
@@ -158,7 +108,7 @@ function plotly_annotation_dict(x, y, ptxt::PlotText; xref="paper", yref="paper"
        :font => plotly_font(ptxt.font),
        :xanchor => ptxt.font.halign == :hcenter ? :center : ptxt.font.halign,
        :yanchor => ptxt.font.valign == :vcenter ? :middle : ptxt.font.valign,
-        :rotation => -ptxt.font.rotation,
+        :rotation => ptxt.font.rotation,
    ))
 end

@@ -193,97 +143,55 @@ function plotly_scale(scale::Symbol)
    end
 end

-function shrink_by(lo, sz, ratio)
-    amt = 0.5 * (1.0 - ratio) * sz
-    lo + amt, sz - 2amt
-end
-
-function plotly_apply_aspect_ratio(sp::Subplot, plotarea, pcts)
-    aspect_ratio = sp[:aspect_ratio]
-    if aspect_ratio != :none
-        if aspect_ratio == :equal
-            aspect_ratio = 1.0
-        end
-        xmin,xmax = axis_limits(sp[:xaxis])
-        ymin,ymax = axis_limits(sp[:yaxis])
-        want_ratio = ((xmax-xmin) / (ymax-ymin)) / aspect_ratio
-        parea_ratio = width(plotarea) / height(plotarea)
-        if want_ratio > parea_ratio
-            # need to shrink y
-            ratio = parea_ratio / want_ratio
-            pcts[2], pcts[4] = shrink_by(pcts[2], pcts[4], ratio)
-        elseif want_ratio < parea_ratio
-            # need to shrink x
-            ratio = want_ratio / parea_ratio
-            pcts[1], pcts[3] = shrink_by(pcts[1], pcts[3], ratio)
-        end
-        pcts
-    end
-    pcts
-end
-

 # this method gets the start/end in percentage of the canvas for this axis direction
 function plotly_domain(sp::Subplot, letter)
    figw, figh = sp.plt[:size]
    pcts = bbox_to_pcts(sp.plotarea, figw*px, figh*px)
-    pcts = plotly_apply_aspect_ratio(sp, sp.plotarea, pcts)
    i1,i2 = (letter == :x ? (1,3) : (2,4))
    [pcts[i1], pcts[i1]+pcts[i2]]
 end


-function plotly_axis(plt::Plot, axis::Axis, sp::Subplot)
+function plotly_axis(axis::Axis, sp::Subplot)
    letter = axis[:letter]
-    framestyle = sp[:framestyle]
    ax = KW(
-        :visible    => framestyle != :none,
        :title      => axis[:guide],
-        :showgrid   => axis[:grid],
-        :gridcolor  => rgba_string(plot_color(axis[:foreground_color_grid], axis[:gridalpha])),
-        :gridwidth  => axis[:gridlinewidth],
-        :zeroline   => framestyle == :zerolines,
-        :zerolinecolor => rgba_string(axis[:foreground_color_axis]),
-        :showline   => framestyle in (:box, :axes) && axis[:showaxis],
-        :linecolor  => rgba_string(plot_color(axis[:foreground_color_axis])),
-        :ticks      => axis[:tick_direction] == :out ? "outside" : "inside",
-        :mirror     => framestyle == :box,
-        :showticklabels => axis[:showaxis],
+        :showgrid   => sp[:grid],
+        :zeroline   => false,
    )

    if letter in (:x,:y)
        ax[:domain] = plotly_domain(sp, letter)
-        if is3d(sp)
-            # don't link 3d axes for synchronized interactivity
-            x_idx = y_idx = sp[:subplot_index]
-        else
-            x_idx, y_idx = plotly_link_indicies(plt, sp)
+        ax[:anchor] = "$(letter==:x ? :y : :x)$(plotly_subplot_index(sp))"
+    end
+
+    rot = axis[:rotation]
+    if rot != 0
+        ax[:tickangle] = rot
+    end
+
+    if !(axis[:ticks] in (nothing, :none))
+        ax[:titlefont] = plotly_font(axis[:guidefont], axis[:foreground_color_guide])
+        ax[:type] = plotly_scale(axis[:scale])
+        ax[:tickfont] = plotly_font(axis[:tickfont], axis[:foreground_color_text])
+        ax[:tickcolor] = rgba_string(axis[:foreground_color_border])
+        ax[:linecolor] = rgba_string(axis[:foreground_color_border])
+
+        # lims
+        lims = axis[:lims]
+        if lims != :auto && limsType(lims) == :limits
+            ax[:range] = lims
        end
-        ax[:anchor] = "$(letter==:x ? "y$(y_idx)" : "x$(x_idx)")"
-    end
-
-    ax[:tickangle] = -axis[:rotation]
-    ax[:type] = plotly_scale(axis[:scale])
-    lims = axis_limits(axis)
-
-    if axis[:ticks] != :native || axis[:lims] != :auto
-        ax[:range] = map(scalefunc(axis[:scale]), lims)
-    end
-
-    if !(axis[:ticks] in (nothing, :none, false))
-        ax[:titlefont] = plotly_font(guidefont(axis))
-        ax[:tickfont] = plotly_font(tickfont(axis))
-        ax[:tickcolor] = framestyle in (:zerolines, :grid) || !axis[:showaxis] ? rgba_string(invisible()) : rgb_string(axis[:foreground_color_axis])
-        ax[:linecolor] = rgba_string(axis[:foreground_color_axis])

        # flip
        if axis[:flip]
-            ax[:range] = reverse(ax[:range])
+            ax[:autorange] = "reversed"
        end

        # ticks
-        if axis[:ticks] != :native
-            ticks = get_ticks(axis)
+        ticks = get_ticks(axis)
+        if ticks != :auto
            ttype = ticksType(ticks)
            if ttype == :ticks
                ax[:tickmode] = "array"
@@ -298,23 +206,6 @@ function plotly_axis(plt::Plot, axis::Axis, sp::Subplot)
        ax[:showgrid] = false
    end

-
-    ax
-end
-
-function plotly_polaraxis(axis::Axis)
-    ax = KW(
-        :visible => axis[:showaxis],
-        :showline => axis[:grid],
-    )
-
-    if axis[:letter] == :x
-        ax[:range] = rad2deg.(axis_limits(axis))
-    else
-        ax[:range] = axis_limits(axis)
-        ax[:orientation] = -90
-    end
-
    ax
 end

@@ -324,15 +215,13 @@ function plotly_layout(plt::Plot)
    w, h = plt[:size]
    d_out[:width], d_out[:height] = w, h
    d_out[:paper_bgcolor] = rgba_string(plt[:background_color_outside])
-    d_out[:margin] = KW(:l=>0, :b=>20, :r=>0, :t=>20)
+    d_out[:margin] = KW(:l=>0, :b=>0, :r=>0, :t=>20)

    d_out[:annotations] = KW[]

-    multiple_subplots = length(plt.subplots) > 1
-
    for sp in plt.subplots
-        spidx = multiple_subplots ? sp[:subplot_index] : ""
-        x_idx, y_idx = multiple_subplots ? plotly_link_indicies(plt, sp) : ("", "")
+        spidx = plotly_subplot_index(sp)
+
        # add an annotation for the title... positioned horizontally relative to plotarea,
        # but vertically just below the top of the subplot bounding box
        if sp[:title] != ""
@@ -346,71 +235,38 @@ function plotly_layout(plt::Plot)
                0.5 * (left(bb) + right(bb))
            end
            titlex, titley = xy_mm_to_pcts(xmm, top(bbox(sp)), w*px, h*px)
-            title_font = font(titlefont(sp), :top)
-            push!(d_out[:annotations], plotly_annotation_dict(titlex, titley, text(sp[:title], title_font)))
+            titlefont = font(sp[:titlefont], :top, sp[:foreground_color_title])
+            push!(d_out[:annotations], plotly_annotation_dict(titlex, titley, text(sp[:title], titlefont)))
        end

        d_out[:plot_bgcolor] = rgba_string(sp[:background_color_inside])

-        # set to supported framestyle
-        sp[:framestyle] = _plotly_framestyle(sp[:framestyle])
+        # TODO: x/y axis tick values/labels

        # if any(is3d, seriesargs)
        if is3d(sp)
-            azim = sp[:camera][1] - 90 #convert azimuthal to match GR behaviour
-            theta = 90 - sp[:camera][2] #spherical coordinate angle from z axis
            d_out[:scene] = KW(
-                Symbol("xaxis$(spidx)") => plotly_axis(plt, sp[:xaxis], sp),
-                Symbol("yaxis$(spidx)") => plotly_axis(plt, sp[:yaxis], sp),
-                Symbol("zaxis$(spidx)") => plotly_axis(plt, sp[:zaxis], sp),
-
-                #2.6 multiplier set camera eye such that whole plot can be seen
-                :camera => KW(
-                    :eye => KW(
-                        :x => cosd(azim)*sind(theta)*2.6,
-                        :y => sind(azim)*sind(theta)*2.6,
-                        :z => cosd(theta)*2.6,
-                    ),
-                ),
+                Symbol("xaxis$spidx") => plotly_axis(sp[:xaxis], sp),
+                Symbol("yaxis$spidx") => plotly_axis(sp[:yaxis], sp),
+                Symbol("zaxis$spidx") => plotly_axis(sp[:zaxis], sp),
            )
-        elseif ispolar(sp)
-            d_out[Symbol("angularaxis$(spidx)")] = plotly_polaraxis(sp[:xaxis])
-            d_out[Symbol("radialaxis$(spidx)")] = plotly_polaraxis(sp[:yaxis])
        else
-            d_out[Symbol("xaxis$(x_idx)")] = plotly_axis(plt, sp[:xaxis], sp)
-            # don't allow yaxis to be reupdated/reanchored in a linked subplot
-            spidx == y_idx ? d_out[Symbol("yaxis$(y_idx)")] = plotly_axis(plt, sp[:yaxis], sp) : nothing
+            d_out[Symbol("xaxis$spidx")] = plotly_axis(sp[:xaxis], sp)
+            d_out[Symbol("yaxis$spidx")] = plotly_axis(sp[:yaxis], sp)
        end

        # legend
        d_out[:showlegend] = sp[:legend] != :none
-        xpos,ypos = plotly_legend_pos(sp[:legend])
        if sp[:legend] != :none
            d_out[:legend] = KW(
                :bgcolor  => rgba_string(sp[:background_color_legend]),
                :bordercolor => rgba_string(sp[:foreground_color_legend]),
-                :font     => plotly_font(legendfont(sp)),
-                :tracegroupgap => 0,
-                :x => xpos,
-                :y => ypos
+                :font     => plotly_font(sp[:legendfont], sp[:foreground_color_legend]),
            )
        end

        # annotations
-        for ann in sp[:annotations]
-            append!(d_out[:annotations], KW[plotly_annotation_dict(locate_annotation(sp, ann...)...; xref = "x$(x_idx)", yref = "y$(y_idx)")])
-        end
-        # series_annotations
-        for series in series_list(sp)
-            anns = series[:series_annotations]
-            for (xi,yi,str,fnt) in EachAnn(anns, series[:x], series[:y])
-                push!(d_out[:annotations], plotly_annotation_dict(
-                    xi,
-                    yi,
-                    PlotText(str,fnt); xref = "x$(x_idx)", yref = "y$(y_idx)")
-                )
-            end
-        end
+        append!(d_out[:annotations], KW[plotly_annotation_dict(ann...; xref = "x$spidx", yref = "y$spidx") for ann in sp[:annotations]])

        # # arrows
        # for sargs in seriesargs
@@ -443,24 +299,14 @@ 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], rgb_string(grad.colors[i])] for i in 1:length(grad.colors)]
 end
 plotly_colorscale(c, α) = plotly_colorscale(cgrad(alpha=α), α)
-function plotly_colorscale(c::AbstractVector{<:RGBA}, α)
-    if length(c) == 1
-        return [[0.0, rgba_string(plot_color(c[1], α))], [1.0, rgba_string(plot_color(c[1], α))]]
-    else
-        vals = linspace(0.0, 1.0, length(c))
-        return [[vals[i], rgba_string(plot_color(c[i], α))] for i in eachindex(c)]
-    end
-end
 # plotly_colorscale(c, alpha = nothing) = plotly_colorscale(cgrad(), alpha)

-
 const _plotly_markers = KW(
    :rect       => "square",
    :xcross     => "x",
-    :x          => "x",
    :utriangle  => "triangle-up",
    :dtriangle  => "triangle-down",
    :star5      => "star-triangle-up",
@@ -468,15 +314,9 @@ const _plotly_markers = KW(
    :hline      => "line-ew",
 )

-# find indicies of axes to which the supblot links to
-function plotly_link_indicies(plt::Plot, sp::Subplot)
-    if plt[:link] in (:x, :y, :both)
-        x_idx = sp[:xaxis].sps[1][:subplot_index]
-        y_idx = sp[:yaxis].sps[1][:subplot_index]
-    else
-        x_idx = y_idx = sp[:subplot_index]
-    end
-    x_idx, y_idx
+function plotly_subplot_index(sp::Subplot)
+    spidx = sp[:subplot_index]
+    spidx == 1 ? "" : spidx
 end


@@ -486,59 +326,13 @@ function plotly_close_shapes(x, y)
    xs, ys = nansplit(x), nansplit(y)
    for i=1:length(xs)
        shape = Shape(xs[i], ys[i])
-        xs[i], ys[i] = coords(shape)
+        xs[i], ys[i] = shape_coords(shape)
    end
    nanvcat(xs), nanvcat(ys)
 end

-function plotly_data(series::Series, letter::Symbol, data)
-    axis = series[:subplot][Symbol(letter, :axis)]
-
-    data = if axis[:ticks] == :native && data != nothing
-        plotly_native_data(axis, data)
-    else
-       data
-    end
-
-    if series[:seriestype] in (:heatmap, :contour, :surface, :wireframe)
-        plotly_surface_data(series, data)
-    else
-        plotly_data(data)
-    end
-end
-plotly_data(v) = v != nothing ? collect(v) : v
-plotly_data(surf::Surface) = surf.surf
-plotly_data(v::AbstractArray{R}) where {R<:Rational} = float(v)
-
-plotly_surface_data(series::Series, a::AbstractVector) = a
-plotly_surface_data(series::Series, a::AbstractMatrix) = transpose_z(series, a, false)
-plotly_surface_data(series::Series, a::Surface) = plotly_surface_data(series, a.surf)
-
-function plotly_native_data(axis::Axis, data::AbstractArray)
-    if !isempty(axis[:discrete_values])
-        construct_categorical_data(data, axis)
-    elseif axis[:formatter] in (datetimeformatter, dateformatter, timeformatter)
-        plotly_convert_to_datetime(data, axis[:formatter])
-    else
-        data
-    end
-end
-plotly_native_data(axis::Axis, a::Surface) = Surface(plotly_native_data(axis, a.surf))
-
-function plotly_convert_to_datetime(x::AbstractArray, formatter::Function)
-    if formatter == datetimeformatter
-        map(xi -> replace(formatter(xi), "T", " "), x)
-    elseif formatter == dateformatter
-        map(xi -> string(formatter(xi), " 00:00:00"), x)
-    elseif formatter == timeformatter
-        map(xi -> string(Dates.Date(Dates.now()), " ", formatter(xi)), x)
-    else
-        error("Invalid DateTime formatter. Expected Plots.datetime/date/time formatter but got $formatter")
-    end
-end
-#ensures that a gradient is called if a single color is supplied where a gradient is needed (e.g. if a series recipe defines marker_z)
-as_gradient(grad::ColorGradient, α) = grad
-as_gradient(grad, α) = cgrad(alpha = α)
+plotly_data(v) = collect(v)
+plotly_data{R<:Rational}(v::AbstractArray{R}) = float(v)

 # get a dictionary representing the series params (d is the Plots-dict, d_out is the Plotly-dict)
 function plotly_series(plt::Plot, series::Series)
@@ -551,78 +345,56 @@ function plotly_series(plt::Plot, series::Series)
    d_out = KW()

    # these are the axes that the series should be mapped to
-    x_idx, y_idx = plotly_link_indicies(plt, sp)
-    d_out[:xaxis] = "x$(x_idx)"
-    d_out[:yaxis] = "y$(y_idx)"
+    spidx = plotly_subplot_index(sp)
+    d_out[:xaxis] = "x$spidx"
+    d_out[:yaxis] = "y$spidx"
    d_out[:showlegend] = should_add_to_legend(series)

-    if st == :straightline
-        x, y = straightline_data(series)
-        z = series[:z]
-    else
-        x, y, z  = series[:x], series[:y], series[:z]
-    end
-
-    x, y, z = (plotly_data(series, letter, data)
-        for (letter, data) in zip((:x, :y, :z), (x, y, z))
-    )
-
+    x, y = plotly_data(series[:x]), plotly_data(series[:y])
    d_out[:name] = series[:label]

    isscatter = st in (:scatter, :scatter3d, :scattergl)
    hasmarker = isscatter || series[:markershape] != :none
-    hasline = st in (:path, :path3d, :straightline)
-    hasfillrange = st in (:path, :scatter, :scattergl, :straightline) &&
-        (isa(series[:fillrange], AbstractVector) || isa(series[:fillrange], Tuple))
-
-    d_out[:colorbar] = KW(:title => sp[:colorbar_title])
-
-    clims = sp[:clims]
-    if is_2tuple(clims)
-        d_out[:zmin], d_out[:zmax] = clims
-    end
+    hasline = st in (:path, :path3d)

    # set the "type"
-    if st in (:path, :scatter, :scattergl, :straightline, :path3d, :scatter3d)
-        return plotly_series_segments(series, d_out, x, y, z)
+    if st in (:path, :scatter, :scattergl)
+        d_out[:type] = st==:scattergl ? "scattergl" : "scatter"
+        d_out[:mode] = if hasmarker
+            hasline ? "lines+markers" : "markers"
+        else
+            hasline ? "lines" : "none"
+        end
+        if series[:fillrange] == true || series[:fillrange] == 0
+            d_out[:fill] = "tozeroy"
+            d_out[:fillcolor] = rgba_string(series[:fillcolor])
+        elseif !(series[:fillrange] in (false, nothing))
+            warn("fillrange ignored... plotly only supports filling to zero. fillrange: $(series[:fillrange])")
+        end
+        d_out[:x], d_out[:y] = x, y
+
+    elseif st == :bar
+        d_out[:type] = "bar"
+        d_out[:x], d_out[:y] = x, y
+        d_out[:orientation] = isvertical(series) ? "v" : "h"

    elseif st == :heatmap
-        x = heatmap_edges(x, sp[:xaxis][:scale])
-        y = heatmap_edges(y, sp[:yaxis][:scale])
        d_out[:type] = "heatmap"
-        d_out[:x], d_out[:y], d_out[:z] = x, y, z
+        d_out[:x], d_out[:y], d_out[:z] = series[:x], series[:y], transpose_z(series, series[:z].surf, false)
        d_out[:colorscale] = plotly_colorscale(series[:fillcolor], series[:fillalpha])
-        d_out[:showscale] = hascolorbar(sp)

    elseif st == :contour
        d_out[:type] = "contour"
-        d_out[:x], d_out[:y], d_out[:z] = x, y, z
+        d_out[:x], d_out[:y], d_out[:z] = series[:x], series[:y], transpose_z(series, series[:z].surf, false)
        # d_out[:showscale] = series[:colorbar] != :none
        d_out[:ncontours] = series[:levels]
-        d_out[:contours] = KW(:coloring => series[:fillrange] != nothing ? "fill" : "lines", :showlabels => series[:contour_labels] == true)
+        d_out[:contours] = KW(:coloring => series[:fillrange] != nothing ? "fill" : "lines")
        d_out[:colorscale] = plotly_colorscale(series[:linecolor], series[:linealpha])
-        d_out[:showscale] = hascolorbar(sp)

    elseif st in (:surface, :wireframe)
        d_out[:type] = "surface"
-        d_out[:x], d_out[:y], d_out[:z] = x, y, z
-        if st == :wireframe
-            d_out[:hidesurface] = true
-            wirelines = KW(
-                :show => true,
-                :color => rgba_string(plot_color(series[:linecolor], series[:linealpha])),
-                :highlightwidth => series[:linewidth],
-            )
-            d_out[:contours] = KW(:x => wirelines, :y => wirelines, :z => wirelines)
-            d_out[:showscale] = false
-        else
-            d_out[:colorscale] = plotly_colorscale(series[:fillcolor], series[:fillalpha])
-            d_out[:opacity] = series[:fillalpha]
-            if series[:fill_z] != nothing
-                d_out[:surfacecolor] = plotly_surface_data(series, series[:fill_z])
-            end
-            d_out[:showscale] = hascolorbar(sp)
-        end
+        d_out[:x], d_out[:y], d_out[:z] = series[:x], series[:y], transpose_z(series, series[:z].surf, false)
+        d_out[:colorscale] = plotly_colorscale(series[:fillcolor], series[:fillalpha])

    elseif st == :pie
        d_out[:type] = "pie"
@@ -630,6 +402,16 @@ function plotly_series(plt::Plot, series::Series)
        d_out[:values] = y
        d_out[:hoverinfo] = "label+percent+name"

+    elseif st in (:path3d, :scatter3d)
+        d_out[:type] = "scatter3d"
+        d_out[:mode] = if hasmarker
+            hasline ? "lines+markers" : "markers"
+        else
+            hasline ? "lines" : "none"
+        end
+        d_out[:x], d_out[:y] = x, y
+        d_out[:z] = plotly_data(series[:z])
+
    else
        warn("Plotly: seriestype $st isn't supported.")
        return KW()
@@ -637,235 +419,98 @@ function plotly_series(plt::Plot, series::Series)

    # add "marker"
    if hasmarker
-        inds = eachindex(x)
        d_out[:marker] = KW(
            :symbol => get(_plotly_markers, series[:markershape], string(series[:markershape])),
            # :opacity => series[:markeralpha],
-            :size => 2 * _cycle(series[:markersize], inds),
-            :color => rgba_string.(plot_color.(get_markercolor.(series, inds), get_markeralpha.(series, inds))),
+            :size => 2 * series[:markersize],
+            # :color => rgba_string(series[:markercolor]),
            :line => KW(
-                :color => rgba_string.(plot_color.(get_markerstrokecolor.(series, inds), get_markerstrokealpha.(series, inds))),
-                :width => _cycle(series[:markerstrokewidth], inds),
+                :color => rgba_string(series[:markerstrokecolor]),
+                :width => series[:markerstrokewidth],
            ),
        )
+
+        # gotta hack this (for now?) since plotly can't handle rgba values inside the gradient
+        d_out[:marker][:color] = if series[:marker_z] == nothing
+            rgba_string(series[:markercolor])
+        else
+            # grad = ColorGradient(series[:markercolor], alpha=series[:markeralpha])
+            grad = series[:markercolor]
+            zmin, zmax = extrema(series[:marker_z])
+            [rgba_string(grad[(zi - zmin) / (zmax - zmin)]) for zi in series[:marker_z]]
+        end
+    end
+
+    # add "line"
+    if hasline
+        d_out[:line] = KW(
+            :color => rgba_string(series[:linecolor]),
+            :width => series[:linewidth],
+            :shape => if st == :steppre
+                "vh"
+            elseif st == :steppost
+                "hv"
+            else
+                "linear"
+            end,
+            :dash => string(series[:linestyle]),
+            # :dash => "solid",
+        )
    end

    plotly_polar!(d_out, series)
    plotly_hover!(d_out, series[:hover])

-    return [d_out]
+    [d_out]
 end

 function plotly_series_shapes(plt::Plot, series::Series)
-    segments = iter_segments(series)
-    d_outs = Vector{KW}(length(segments))
-
+    d_outs = []
+    
    # TODO: create a d_out for each polygon
    # x, y = series[:x], series[:y]
-
+    
    # these are the axes that the series should be mapped to
-    x_idx, y_idx = plotly_link_indicies(plt, series[:subplot])
-    d_base = KW(
-        :xaxis => "x$(x_idx)",
-        :yaxis => "y$(y_idx)",
-        :name => series[:label],
-        :legendgroup => series[:label],
-    )
-
-    x, y = (plotly_data(series, letter, data)
-        for (letter, data) in zip((:x, :y), shape_data(series))
-    )
-
-    for (i,rng) in enumerate(segments)
+    spidx = plotly_subplot_index(series[:subplot])
+    base_d = KW()
+    base_d[:xaxis] = "x$spidx"
+    base_d[:yaxis] = "y$spidx"
+    base_d[:name] = series[:label]
+    # base_d[:legendgroup] = series[:label]
+    
+    x, y = plotly_data(series[:x]), plotly_data(series[:y])
+    for (i,rng) in enumerate(iter_segments(x,y))
        length(rng) < 2 && continue

        # to draw polygons, we actually draw lines with fill
-        d_out = merge(d_base, KW(
+        d_out = merge(base_d, KW(
            :type => "scatter",
            :mode => "lines",
            :x => vcat(x[rng], x[rng[1]]),
            :y => vcat(y[rng], y[rng[1]]),
            :fill => "tozeroy",
-            :fillcolor => rgba_string(plot_color(get_fillcolor(series, i), get_fillalpha(series, i))),
+            :fillcolor => rgba_string(cycle(series[:fillcolor], i)),
        ))
        if series[:markerstrokewidth] > 0
            d_out[:line] = KW(
-                :color => rgba_string(plot_color(get_linecolor(series, i), get_linealpha(series, i))),
-                :width => get_linewidth(series, i),
-                :dash => string(get_linestyle(series, i)),
+                :color => rgba_string(cycle(series[:linecolor], i)),
+                :width => series[:linewidth],
+                :dash => string(series[:linestyle]),
            )
        end
        d_out[:showlegend] = i==1 ? should_add_to_legend(series) : false
        plotly_polar!(d_out, series)
-        plotly_hover!(d_out, _cycle(series[:hover], i))
-        d_outs[i] = d_out
-    end
-    if series[:fill_z] != nothing
-        push!(d_outs, plotly_colorbar_hack(series, d_base, :fill))
-    elseif series[:line_z] != nothing
-        push!(d_outs, plotly_colorbar_hack(series, d_base, :line))
-    elseif series[:marker_z] != nothing
-        push!(d_outs, plotly_colorbar_hack(series, d_base, :marker))
+        plotly_hover!(d_out, cycle(series[:hover], i))
+        push!(d_outs, d_out)
    end
    d_outs
 end

-function plotly_series_segments(series::Series, d_base::KW, x, y, z)
-    st = series[:seriestype]
-    sp = series[:subplot]
-    isscatter = st in (:scatter, :scatter3d, :scattergl)
-    hasmarker = isscatter || series[:markershape] != :none
-    hasline = st in (:path, :path3d, :straightline)
-    hasfillrange = st in (:path, :scatter, :scattergl, :straightline) &&
-        (isa(series[:fillrange], AbstractVector) || isa(series[:fillrange], Tuple))
-
-    segments = iter_segments(series)
-    d_outs = Vector{KW}((hasfillrange ? 2 : 1 ) * length(segments))
-
-    for (i,rng) in enumerate(segments)
-        !isscatter && length(rng) < 2 && continue
-
-        d_out = deepcopy(d_base)
-        d_out[:showlegend] = i==1 ? should_add_to_legend(series) : false
-        d_out[:legendgroup] = series[:label]
-
-        # set the type
-        if st in (:path, :scatter, :scattergl, :straightline)
-            d_out[:type] = st==:scattergl ? "scattergl" : "scatter"
-            d_out[:mode] = if hasmarker
-                hasline ? "lines+markers" : "markers"
-            else
-                hasline ? "lines" : "none"
-            end
-            if series[:fillrange] == true || series[:fillrange] == 0 || isa(series[:fillrange], Tuple)
-                d_out[:fill] = "tozeroy"
-                d_out[:fillcolor] = rgba_string(plot_color(get_fillcolor(series, i), get_fillalpha(series, i)))
-            elseif typeof(series[:fillrange]) <: Union{AbstractVector{<:Real}, Real}
-                d_out[:fill] = "tonexty"
-                d_out[:fillcolor] = rgba_string(plot_color(get_fillcolor(series, i), get_fillalpha(series, i)))
-            elseif !(series[:fillrange] in (false, nothing))
-                warn("fillrange ignored... plotly only supports filling to zero and to a vector of values. fillrange: $(series[:fillrange])")
-            end
-            d_out[:x], d_out[:y] = x[rng], y[rng]
-
-        elseif st in (:path3d, :scatter3d)
-            d_out[:type] = "scatter3d"
-            d_out[:mode] = if hasmarker
-                hasline ? "lines+markers" : "markers"
-            else
-                hasline ? "lines" : "none"
-            end
-            d_out[:x], d_out[:y], d_out[:z] = x[rng], y[rng], z[rng]
-        end
-
-        # add "marker"
-        if hasmarker
-            d_out[:marker] = KW(
-                :symbol => get(_plotly_markers, _cycle(series[:markershape], i), string(_cycle(series[:markershape], i))),
-                # :opacity => series[:markeralpha],
-                :size => 2 * _cycle(series[:markersize], i),
-                :color => rgba_string(plot_color(get_markercolor(series, i), get_markeralpha(series, i))),
-                :line => KW(
-                    :color => rgba_string(plot_color(get_markerstrokecolor(series, i), get_markerstrokealpha(series, i))),
-                    :width => _cycle(series[:markerstrokewidth], i),
-                ),
-            )
-        end
-
-        # add "line"
-        if hasline
-            d_out[:line] = KW(
-                :color => rgba_string(plot_color(get_linecolor(series, i), get_linealpha(series, i))),
-                :width => get_linewidth(series, i),
-                :shape => if st == :steppre
-                    "vh"
-                elseif st == :steppost
-                    "hv"
-                else
-                    "linear"
-                end,
-                :dash => string(get_linestyle(series, i)),
-            )
-        end
-
-        plotly_polar!(d_out, series)
-        plotly_hover!(d_out, _cycle(series[:hover], rng))
-
-        if hasfillrange
-            # if hasfillrange is true, return two dictionaries (one for original
-            # series, one for series being filled to) instead of one
-            d_out_fillrange = deepcopy(d_out)
-            d_out_fillrange[:showlegend] = false
-            # if fillrange is provided as real or tuple of real, expand to array
-            if typeof(series[:fillrange]) <: Real
-                series[:fillrange] = fill(series[:fillrange], length(rng))
-            elseif typeof(series[:fillrange]) <: Tuple
-                f1 = typeof(series[:fillrange][1]) <: Real ? fill(series[:fillrange][1], length(rng)) : series[:fillrange][1][rng]
-                f2 = typeof(series[:fillrange][2]) <: Real ? fill(series[:fillrange][2], length(rng)) : series[:fillrange][2][rng]
-                series[:fillrange] = (f1, f2)
-            end
-            if isa(series[:fillrange], AbstractVector)
-                d_out_fillrange[:y] = series[:fillrange][rng]
-                delete!(d_out_fillrange, :fill)
-                delete!(d_out_fillrange, :fillcolor)
-            else
-                # if fillrange is a tuple with upper and lower limit, d_out_fillrange
-                # is the series that will do the filling
-                fillrng = Tuple(series[:fillrange][i][rng] for i in 1:2)
-                d_out_fillrange[:x], d_out_fillrange[:y] = concatenate_fillrange(x[rng], fillrng)
-                d_out_fillrange[:line][:width] = 0
-                delete!(d_out, :fill)
-                delete!(d_out, :fillcolor)
-            end
-
-            d_outs[(2 * i - 1):(2 * i)] = [d_out_fillrange, d_out]
-        else
-            d_outs[i] = d_out
-        end
-    end
-
-    if series[:line_z] != nothing
-        push!(d_outs, plotly_colorbar_hack(series, d_base, :line))
-    elseif series[:fill_z] != nothing
-        push!(d_outs, plotly_colorbar_hack(series, d_base, :fill))
-    elseif series[:marker_z] != nothing
-        push!(d_outs, plotly_colorbar_hack(series, d_base, :marker))
-    end
-
-    d_outs
-end
-
-function plotly_colorbar_hack(series::Series, d_base::KW, sym::Symbol)
-    d_out = deepcopy(d_base)
-    cmin, cmax = get_clims(series[:subplot])
-    d_out[:showlegend] = false
-    d_out[:type] = is3d(series) ? :scatter3d : :scatter
-    d_out[:hoverinfo] = :none
-    d_out[:mode] = :markers
-    d_out[:x], d_out[:y] = [series[:x][1]], [series[:y][1]]
-    if is3d(series)
-        d_out[:z] = [series[:z][1]]
-    end
-    # zrange = zmax == zmin ? 1 : zmax - zmin # if all marker_z values are the same, plot all markers same color (avoids division by zero in next line)
-    d_out[:marker] = KW(
-        :size => 0,
-        :opacity => 0,
-        :color => [0.5],
-        :cmin => cmin,
-        :cmax => cmax,
-        :colorscale => plotly_colorscale(series[Symbol("$(sym)color")], 1),
-        :showscale => hascolorbar(series[:subplot]),
-    )
-    return d_out
-end
-
-
 function plotly_polar!(d_out::KW, series::Series)
    # convert polar plots x/y to theta/radius
    if ispolar(series[:subplot])
-        theta, r = filter_radial_data(pop!(d_out, :x), pop!(d_out, :y), axis_limits(series[:subplot][:yaxis]))
-        d_out[:t] = rad2deg.(theta)
-        d_out[:r] = r
+        d_out[:t] = rad2deg(pop!(d_out, :x))
+        d_out[:r] = pop!(d_out, :y)
    end
 end

@@ -880,25 +525,19 @@ function plotly_hover!(d_out::KW, hover)
 end

 # get a list of dictionaries, each representing the series params
-function plotly_series(plt::Plot)
+function plotly_series_json(plt::Plot)
    slist = []
    for series in plt.series_list
        append!(slist, plotly_series(plt, series))
    end
-    slist
+    JSON.json(slist)
+    # JSON.json(map(series -> plotly_series(plt, series), plt.series_list))
 end

-# get json string for a list of dictionaries, each representing the series params
-plotly_series_json(plt::Plot) = JSON.json(plotly_series(plt))
-
 # ----------------------------------------------------------------

-const _use_remote = Ref(false)
-
 function html_head(plt::Plot{PlotlyBackend})
-    jsfilename = _use_remote[] ? _plotly_js_path_remote : ("file://" * _plotly_js_path)
-    # "<script src=\"$(joinpath(dirname(@__FILE__),"..","..","deps","plotly-latest.min.js"))\"></script>"
-    "<script src=\"$jsfilename\"></script>"
+    "<script src=\"$(Pkg.dir("Plots","deps","plotly-latest.min.js"))\"></script>"
 end

 function html_body(plt::Plot{PlotlyBackend}, style = nothing)
@@ -928,7 +567,11 @@ end
 # ----------------------------------------------------------------


-function _show(io::IO, ::MIME"text/html", plt::Plot{PlotlyBackend})
+function _writemime(io::IO, ::MIME"image/png", plt::Plot{PlotlyBackend})
+    writemime_png_from_html(io, plt)
+end
+
+function _writemime(io::IO, ::MIME"image/svg+xml", plt::Plot{PlotlyBackend})
    write(io, html_head(plt) * html_body(plt))
 end

@@ -1,32 +1,16 @@
-@require Revise begin
-    Revise.track(Plots, joinpath(Pkg.dir("Plots"), "src", "backends", "plotlyjs.jl"))
-end

 # https://github.com/spencerlyon2/PlotlyJS.jl

-const _plotlyjs_attr        = _plotly_attr
-const _plotlyjs_seriestype  = _plotly_seriestype
-const _plotlyjs_style       = _plotly_style
-const _plotlyjs_marker      = _plotly_marker
-const _plotlyjs_scale       = _plotly_scale
+supported_args(::PlotlyJSBackend) = supported_args(PlotlyBackend())
+supported_types(::PlotlyJSBackend) = supported_types(PlotlyBackend())
+supported_styles(::PlotlyJSBackend) = supported_styles(PlotlyBackend())
+supported_markers(::PlotlyJSBackend) = supported_markers(PlotlyBackend())
+supported_scales(::PlotlyJSBackend) = supported_scales(PlotlyBackend())
+is_subplot_supported(::PlotlyJSBackend) = true
+is_string_supported(::PlotlyJSBackend) = true

 # --------------------------------------------------------------------------------------

-
-function add_backend_string(::PlotlyJSBackend)
-    """
-    if !Plots.is_installed("PlotlyJS")
-        Pkg.add("PlotlyJS")
-    end
-    if !Plots.is_installed("Rsvg")
-        Pkg.add("Rsvg")
-    end
-    import Blink
-    Blink.AtomShell.install()
-    """
-end
-
-
 function _initialize_backend(::PlotlyJSBackend; kw...)
    @eval begin
        import PlotlyJS
@@ -43,11 +27,7 @@ end


 function _create_backend_figure(plt::Plot{PlotlyJSBackend})
-    if !isplotnull() && plt[:overwrite_figure] && isa(current().o, PlotlyJS.SyncPlot)
-        PlotlyJS.SyncPlot(PlotlyJS.Plot(), current().o.view)
-    else
-        PlotlyJS.plot()
-    end
+    PlotlyJS.plot()
 end


@@ -63,15 +43,10 @@ end

 function _series_updated(plt::Plot{PlotlyJSBackend}, series::Series)
    xsym, ysym = (ispolar(series) ? (:t,:r) : (:x,:y))
-    kw = KW(xsym => (series.d[:x],), ysym => (series.d[:y],))
-    z = series[:z]
-    if z != nothing
-        kw[:z] = (isa(z,Surface) ? transpose_z(series, series[:z].surf, false) : z,)
-    end
    PlotlyJS.restyle!(
        plt.o,
        findfirst(plt.series_list, series),
-        kw
+        KW(xsym => (series.d[:x],), ysym => (series.d[:y],))
    )
 end

@@ -88,47 +63,16 @@ end

 # ----------------------------------------------------------------

-function _show(io::IO, ::MIME"text/html", plt::Plot{PlotlyJSBackend})
-    if isijulia() && !_use_remote[]
-        write(io, PlotlyJS.html_body(PlotlyJS.JupyterPlot(plt.o)))
-    else
-        show(io, MIME("text/html"), plt.o)
-    end
+function _writemime(io::IO, ::MIME"image/svg+xml", plt::Plot{PlotlyJSBackend})
+    writemime(io, MIME("text/html"), plt.o)
 end

-function plotlyjs_save_hack(io::IO, plt::Plot{PlotlyJSBackend}, ext::String)
-    tmpfn = tempname() * "." * ext
+function _writemime(io::IO, ::MIME"image/png", plt::Plot{PlotlyJSBackend})
+    tmpfn = tempname() * ".png"
    PlotlyJS.savefig(plt.o, tmpfn)
    write(io, read(open(tmpfn)))
 end
-_show(io::IO, ::MIME"image/svg+xml", plt::Plot{PlotlyJSBackend}) = plotlyjs_save_hack(io, plt, "svg")
-_show(io::IO, ::MIME"image/png", plt::Plot{PlotlyJSBackend}) = plotlyjs_save_hack(io, plt, "png")
-_show(io::IO, ::MIME"application/pdf", plt::Plot{PlotlyJSBackend}) = plotlyjs_save_hack(io, plt, "pdf")
-_show(io::IO, ::MIME"image/eps", plt::Plot{PlotlyJSBackend}) = plotlyjs_save_hack(io, plt, "eps")
-
-function write_temp_html(plt::Plot{PlotlyJSBackend})
-    filename = string(tempname(), ".html")
-    savefig(plt, filename)
-    filename
-end

 function _display(plt::Plot{PlotlyJSBackend})
-    if get(ENV, "PLOTS_USE_ATOM_PLOTPANE", true) in (true, 1, "1", "true", "yes")
-        display(plt.o)
-    else
-        standalone_html_window(plt)
-    end
-end
-
-@require WebIO begin
-    function WebIO.render(plt::Plot{PlotlyJSBackend})
-        prepare_output(plt)
-        WebIO.render(plt.o)
-    end
-end
-
-function closeall(::PlotlyJSBackend)
-    if !isplotnull() && isa(current().o, PlotlyJS.SyncPlot)
-        close(current().o)
-    end
+    display(plt.o)
 end
@@ -2,7 +2,7 @@
 # https://github.com/tbreloff/Qwt.jl


-supported_attrs(::QwtBackend) = merge_with_base_supported([
+supported_args(::QwtBackend) = merge_with_base_supported([
    :annotations,
    :linecolor,
    :fillrange,
@@ -39,7 +39,7 @@ end

 # -------------------------------

-const _qwtAliases = KW(
+@compat const _qwtAliases = KW(
    :bins => :heatmap_n,
    :fillrange => :fillto,
    :linewidth => :width,
@@ -133,7 +133,7 @@ function updateLimsAndTicks(plt::Plot{QwtBackend}, d::KW, isx::Bool)
  w = plt.o.widget
  axisid = Qwt.QWT.QwtPlot[isx ? :xBottom : :yLeft]

-  if typeof(lims) <: Union{Tuple,AVec} && length(lims) == 2
+  if typeof(lims) <: @compat(Union{Tuple,AVec}) && length(lims) == 2
    if isx
      plt.o.autoscale_x = false
    else
@@ -211,14 +211,14 @@ function createQwtAnnotation(plt::Plot, x, y, val::PlotText)
  marker[:attach](plt.o.widget)
 end

-function createQwtAnnotation(plt::Plot, x, y, val::AbstractString)
+function createQwtAnnotation(plt::Plot, x, y, val::@compat(AbstractString))
  marker = Qwt.QWT.QwtPlotMarker()
  marker[:setValue](x, y)
  marker[:setLabel](Qwt.QWT.QwtText(val))
  marker[:attach](plt.o.widget)
 end

-function _add_annotations(plt::Plot{QwtBackend}, anns::AVec{Tuple{X,Y,V}}) where {X,Y,V}
+function _add_annotations{X,Y,V}(plt::Plot{QwtBackend}, anns::AVec{@compat(Tuple{X,Y,V})})
  for ann in anns
    createQwtAnnotation(plt, ann...)
  end
@@ -233,7 +233,7 @@ function getxy(plt::Plot{QwtBackend}, i::Int)
  series.x, series.y
 end

-function setxy!(plt::Plot{QwtBackend}, xy::Tuple{X,Y}, i::Integer) where {X,Y}
+function setxy!{X,Y}(plt::Plot{QwtBackend}, xy::Tuple{X,Y}, i::Integer)
  series = plt.o.lines[i]
  series.x, series.y = xy
  plt
@@ -242,6 +242,8 @@ end

 # -------------------------------

+# savepng(::QwtBackend, plt::AbstractPlot, fn::@compat(AbstractString), args...) = Qwt.savepng(plt.o, fn)
+
 # -------------------------------

 # # create the underlying object (each backend will do this differently)
@@ -280,13 +282,13 @@ end

 # ----------------------------------------------------------------

-function Base.show(io::IO, ::MIME"image/png", plt::Plot{QwtBackend})
+function Base.writemime(io::IO, ::MIME"image/png", plt::Plot{QwtBackend})
  Qwt.refresh(plt.o)
  Qwt.savepng(plt.o, "/tmp/dfskjdhfkh.png")
  write(io, readall("/tmp/dfskjdhfkh.png"))
 end

-# function Base.show(io::IO, ::MIME"image/png", subplt::Subplot{QwtBackend})
+# function Base.writemime(io::IO, ::MIME"image/png", subplt::Subplot{QwtBackend})
 #   for plt in subplt.plts
 #     Qwt.refresh(plt.o)
 #   end
@@ -67,7 +67,7 @@ end
    # "image/png"               => "png",
    # "application/postscript"  => "ps",
    # "image/svg+xml"           => "svg"
-function _show(io::IO, ::MIME"image/png", plt::Plot{[PkgName]Backend})
+function _writemime(io::IO, ::MIME"image/png", plt::Plot{[PkgName]Backend})
 end

 # Display/show the plot (open a GUI window, or browser page, for example).
@@ -1,11 +1,7 @@

 # https://github.com/Evizero/UnicodePlots.jl

-@require Revise begin
-    Revise.track(Plots, joinpath(Pkg.dir("Plots"), "src", "backends", "unicodeplots.jl"))
-end
-
-const _unicodeplots_attr = merge_with_base_supported([
+supported_args(::UnicodePlotsBackend) = merge_with_base_supported([
    :label,
    :legend,
    :seriescolor,
@@ -16,30 +12,21 @@ const _unicodeplots_attr = merge_with_base_supported([
    :title,
    :guide, :lims,
  ])
-const _unicodeplots_seriestype = [
-    :path, :scatter, :straightline,
-    # :bar,
-    :shape,
-    :histogram2d,
-    :spy
+supported_types(::UnicodePlotsBackend) = [
+    :path, :scatter,
+    :histogram2d
 ]
-const _unicodeplots_style = [:auto, :solid]
-const _unicodeplots_marker = [:none, :auto, :circle]
-const _unicodeplots_scale = [:identity]
+supported_styles(::UnicodePlotsBackend) = [:auto, :solid]
+supported_markers(::UnicodePlotsBackend) = [:none, :auto, :circle]
+supported_scales(::UnicodePlotsBackend) = [:identity]
+is_subplot_supported(::UnicodePlotsBackend) = true


 # don't warn on unsupported... there's just too many warnings!!
-warnOnUnsupported_args(::UnicodePlotsBackend, d::KW) = nothing
+warnOnUnsupported_args(pkg::UnicodePlotsBackend, d::KW) = nothing

 # --------------------------------------------------------------------------------------

-function add_backend_string(::UnicodePlotsBackend)
-    """
-    Pkg.add("UnicodePlots")
-    Pkg.build("UnicodePlots")
-    """
-end
-
 function _initialize_backend(::UnicodePlotsBackend; kw...)
    @eval begin
        import UnicodePlots
@@ -49,18 +36,6 @@ end

 # -------------------------------

-const _canvas_type = Ref(:auto)
-
-function _canvas_map()
-    KW(
-        :braille => UnicodePlots.BrailleCanvas,
-        :ascii => UnicodePlots.AsciiCanvas,
-        :block => UnicodePlots.BlockCanvas,
-        :dot => UnicodePlots.DotCanvas,
-        :density => UnicodePlots.DensityCanvas,
-    )
-end
-

 # do all the magic here... build it all at once, since we need to know about all the series at the very beginning
 function rebuildUnicodePlot!(plt::Plot, width, height)
@@ -82,33 +57,7 @@ function rebuildUnicodePlot!(plt::Plot, width, height)
        y = Float64[ylim[1]]

        # create a plot window with xlim/ylim set, but the X/Y vectors are outside the bounds
-        ct = _canvas_type[]
-        canvas_type = if ct == :auto
-            isijulia() ? UnicodePlots.AsciiCanvas : UnicodePlots.BrailleCanvas
-        else
-            _canvas_map()[ct]
-        end
-
-        # special handling for spy
-        if length(sp.series_list) == 1
-            series = sp.series_list[1]
-            if series[:seriestype] == :spy
-                push!(plt.o, UnicodePlots.spy(
-                    series[:z].surf,
-                    width = width,
-                    height = height,
-                    title = sp[:title],
-                    canvas = canvas_type
-                ))
-                continue
-            end
-        end
-
-        # # make it a bar canvas if plotting bar
-        # if any(series -> series[:seriestype] == :bar, series_list(sp))
-        #     canvas_type = UnicodePlots.BarplotGraphics
-        # end
-
+        canvas_type = isijulia() ? UnicodePlots.AsciiCanvas : UnicodePlots.BrailleCanvas
        o = UnicodePlots.Plot(x, y, canvas_type;
            width = width,
            height = height,
@@ -142,39 +91,28 @@ function addUnicodeSeries!(o, d::KW, addlegend::Bool, xlim, ylim)
        return
    end

-    if st in (:path, :straightline)
+    if st == :path
        func = UnicodePlots.lineplot!
    elseif st == :scatter || d[:markershape] != :none
        func = UnicodePlots.scatterplot!
-    # elseif st == :bar
-    #     func = UnicodePlots.barplot!
-    elseif st == :shape
-        func = UnicodePlots.lineplot!
    else
        error("Linestyle $st not supported by UnicodePlots")
    end

    # get the series data and label
-    x, y = if st == :straightline
-        straightline_data(d)
-    elseif st == :shape
-        shape_data(series)
-    else
-        [collect(float(d[s])) for s in (:x, :y)]
-    end
+    x, y = [collect(float(d[s])) for s in (:x, :y)]
    label = addlegend ? d[:label] : ""

    # if we happen to pass in allowed color symbols, great... otherwise let UnicodePlots decide
    color = d[:linecolor] in UnicodePlots.color_cycle ? d[:linecolor] : :auto

    # add the series
-    x, y = Plots.unzip(collect(Base.Iterators.filter(xy->isfinite(xy[1])&&isfinite(xy[2]), zip(x,y))))
    func(o, x, y; color = color, name = label)
 end

 # -------------------------------

-# since this is such a hack, it's only callable using `png`... should error during normal `show`
+# since this is such a hack, it's only callable using `png`... should error during normal `writemime`
 function png(plt::AbstractPlot{UnicodePlotsBackend}, fn::AbstractString)
    fn = addExtension(fn, "png")

@@ -183,7 +121,7 @@ function png(plt::AbstractPlot{UnicodePlotsBackend}, fn::AbstractString)
    gui(plt)

    # @osx_only begin
-    @static if is_apple()
+    @compat @static if is_apple()
        # BEGIN HACK

        # wait while the plot gets drawn
@@ -210,9 +148,9 @@ function unicodeplots_rebuild(plt::Plot{UnicodePlotsBackend})
    rebuildUnicodePlot!(plt, div(w, 10), div(h, 20))
 end

-function _show(io::IO, ::MIME"text/plain", plt::Plot{UnicodePlotsBackend})
+function _writemime(io::IO, ::MIME"text/plain", plt::Plot{UnicodePlotsBackend})
    unicodeplots_rebuild(plt)
-    foreach(x -> show(io, x), plt.o)
+    map(show, plt.o)
    nothing
 end

@@ -222,3 +160,4 @@ function _display(plt::Plot{UnicodePlotsBackend})
    map(show, plt.o)
    nothing
 end
+
@@ -2,9 +2,7 @@
 # NOTE:  backend should implement `html_body` and `html_head`

 # CREDIT: parts of this implementation were inspired by @joshday's PlotlyLocal.jl
-@require Revise begin
-    Revise.track(Plots, joinpath(Pkg.dir("Plots"), "src", "backends", "web.jl")) 
-end
+

 function standalone_html(plt::AbstractPlot; title::AbstractString = get(plt.attr, :window_title, "Plots.jl"))
    """
@@ -12,7 +10,6 @@ function standalone_html(plt::AbstractPlot; title::AbstractString = get(plt.attr
    <html>
        <head>
            <title>$title</title>
-            <meta http-equiv="content-type" content="text/html; charset=UTF-8">
            $(html_head(plt))
        </head>
        <body>
@@ -23,14 +20,14 @@ function standalone_html(plt::AbstractPlot; title::AbstractString = get(plt.attr
 end

 function open_browser_window(filename::AbstractString)
-    @static if is_apple()
+    @compat @static if is_apple()
        return run(`open $(filename)`)
    end
-    @static if is_linux() || is_bsd()    # is_bsd() addition is as yet untested, but based on suggestion in https://github.com/JuliaPlots/Plots.jl/issues/681
+    @compat @static if is_linux()
        return run(`xdg-open $(filename)`)
    end
-    @static if is_windows()
-        return run(`$(ENV["COMSPEC"]) /c start "" "$(filename)"`)
+    @compat @static if is_windows()
+        return run(`$(ENV["COMSPEC"]) /c start $(filename)`)
    end
    warn("Unknown OS... cannot open browser window.")
 end
@@ -54,7 +51,7 @@ function html_to_png(html_fn, png_fn, w, h)
    run(`wkhtmltoimage -f png -q --width $w --height $h --disable-smart-width $html_fn $png_fn`)
 end

-function show_png_from_html(io::IO, plt::AbstractPlot)
+function writemime_png_from_html(io::IO, plt::AbstractPlot)
    # write html to a temporary file
    html_fn = write_temp_html(plt)

@@ -3,7 +3,7 @@

 # credit goes to https://github.com/jverzani for contributing to the first draft of this backend implementation

-supported_attrs(::WinstonBackend) = merge_with_base_supported([
+supported_args(::WinstonBackend) = merge_with_base_supported([
    :annotations,
    :linecolor,
    :fillrange,
@@ -44,13 +44,13 @@ end


 ## dictionaries for conversion of Plots.jl names to Winston ones.
-const winston_linestyle =  KW(:solid=>"solid",
+@compat const winston_linestyle =  KW(:solid=>"solid",
                                :dash=>"dash",
                                :dot=>"dotted",
                                :dashdot=>"dotdashed"
                               )

-const winston_marker = KW(:none=>".",
+@compat const winston_marker = KW(:none=>".",
                            :rect => "square",
                            :circle=>"circle",
                            :diamond=>"diamond",
@@ -185,7 +185,7 @@ end

 # ----------------------------------------------------------------

-const _winstonNames = KW(
+@compat const _winstonNames = KW(
    :xlims => :xrange,
    :ylims => :yrange,
    :xscale => :xlog,
@@ -213,11 +213,11 @@ end

 # ----------------------------------------------------------------

-function createWinstonAnnotationObject(plt::Plot{WinstonBackend}, x, y, val::AbstractString)
+function createWinstonAnnotationObject(plt::Plot{WinstonBackend}, x, y, val::@compat(AbstractString))
  Winston.text(x, y, val)
 end

-function _add_annotations(plt::Plot{WinstonBackend}, anns::AVec{Tuple{X,Y,V}}) where {X,Y,V}
+function _add_annotations{X,Y,V}(plt::Plot{WinstonBackend}, anns::AVec{@compat(Tuple{X,Y,V})})
  for ann in anns
    createWinstonAnnotationObject(plt, ann...)
  end
@@ -238,10 +238,10 @@ function addWinstonLegend(plt::Plot, wplt)
  end
 end

-function Base.show(io::IO, ::MIME"image/png", plt::AbstractPlot{WinstonBackend})
+function Base.writemime(io::IO, ::MIME"image/png", plt::AbstractPlot{WinstonBackend})
  window, canvas, wplt = getWinstonItems(plt)
  addWinstonLegend(plt, wplt)
-  show(io, "image/png", wplt)
+  writemime(io, "image/png", wplt)
 end


@@ -1,7 +1,7 @@


-const P2 = FixedSizeArrays.Vec{2,Float64}
-const P3 = FixedSizeArrays.Vec{3,Float64}
+typealias P2 FixedSizeArrays.Vec{2,Float64}
+typealias P3 FixedSizeArrays.Vec{3,Float64}

 nanpush!(a::AbstractVector{P2}, b) = (push!(a, P2(NaN,NaN)); push!(a, b))
 nanappend!(a::AbstractVector{P2}, b) = (push!(a, P2(NaN,NaN)); append!(a, b))
@@ -11,7 +11,7 @@ compute_angle(v::P2) = (angle = atan2(v[2], v[1]); angle < 0 ? 2π - angle : ang

 # -------------------------------------------------------------

-struct Shape
+immutable Shape
    x::Vector{Float64}
    y::Vector{Float64}
    # function Shape(x::AVec, y::AVec)
@@ -22,33 +22,22 @@ struct Shape
    #     end
    # end
 end
-
-"""
-    Shape(x, y)
-    Shape(vertices)
-
-Construct a polygon to be plotted
-"""
 Shape(verts::AVec) = Shape(unzip(verts)...)
-Shape(s::Shape) = deepcopy(s)

 get_xs(shape::Shape) = shape.x
 get_ys(shape::Shape) = shape.y
 vertices(shape::Shape) = collect(zip(shape.x, shape.y))

-#deprecated
-@deprecate shape_coords coords

-"return the vertex points from a Shape or Segments object"
-function coords(shape::Shape)
+function shape_coords(shape::Shape)
    shape.x, shape.y
 end

-function coords(shapes::AVec{Shape})
+function shape_coords(shapes::AVec{Shape})
    length(shapes) == 0 && return zeros(0), zeros(0)
    xs = map(get_xs, shapes)
    ys = map(get_ys, shapes)
-    x, y = map(copy, coords(shapes[1]))
+    x, y = map(copy, shape_coords(shapes[1]))
    for shape in shapes[2:end]
        nanappend!(x, shape.x)
        nanappend!(y, shape.y)
@@ -58,7 +47,7 @@ end

 "get an array of tuples of points on a circle with radius `r`"
 function partialcircle(start_θ, end_θ, n = 20, r=1)
-    Tuple{Float64,Float64}[(r*cos(u),r*sin(u)) for u in linspace(start_θ, end_θ, n)]
+  @compat(Tuple{Float64,Float64})[(r*cos(u),r*sin(u)) for u in linspace(start_θ, end_θ, n)]
 end

 "interleave 2 vectors into each other (like a zipper's teeth)"
@@ -83,13 +72,13 @@ function makestar(n; offset = -0.5, radius = 1.0)
    z2 = z1 + π / (n)
    outercircle = partialcircle(z1, z1 + 2π, n+1, radius)
    innercircle = partialcircle(z2, z2 + 2π, n+1, 0.4radius)
-    Shape(weave(outercircle, innercircle))
+    Shape(weave(outercircle, innercircle)[1:end-2])
 end

 "create a shape by picking points around the unit circle.  `n` is the number of point/sides, `offset` is the starting angle"
 function makeshape(n; offset = -0.5, radius = 1.0)
    z = offset * π
-    Shape(partialcircle(z, z + 2π, n+1, radius))
+    Shape(partialcircle(z, z + 2π, n+1, radius)[1:end-1])
 end


@@ -99,7 +88,7 @@ function makecross(; offset = -0.5, radius = 1.0)
    outercircle = partialcircle(z1, z1 + 2π, 9, radius)
    innercircle = partialcircle(z2, z2 + 2π, 5, 0.5radius)
    Shape(weave(outercircle, innercircle,
-                ordering=Vector[outercircle,innercircle,outercircle]))
+                ordering=Vector[outercircle,innercircle,outercircle])[1:end-2])
 end


@@ -121,8 +110,6 @@ const _shape_keys = Symbol[
  :xcross,
  :utriangle,
  :dtriangle,
-  :rtriangle,
-  :ltriangle,
  :pentagon,
  :heptagon,
  :octagon,
@@ -132,18 +119,14 @@ const _shape_keys = Symbol[
  :star8,
  :vline,
  :hline,
-  :+,
-  :x,
 ]

 const _shapes = KW(
    :circle    => makeshape(20),
    :rect       => makeshape(4, offset=-0.25),
    :diamond    => makeshape(4),
-    :utriangle  => makeshape(3, offset=0.5),
-    :dtriangle  => makeshape(3, offset=-0.5),
-    :rtriangle  => makeshape(3, offset=0.0),
-    :ltriangle  => makeshape(3, offset=1.0),
+    :utriangle  => makeshape(3),
+    :dtriangle  => makeshape(3, offset=0.5),
    :pentagon   => makeshape(5),
    :hexagon    => makeshape(6),
    :heptagon   => makeshape(7),
@@ -158,15 +141,12 @@ for n in [4,5,6,7,8]
  _shapes[Symbol("star$n")] = makestar(n)
 end

-Shape(k::Symbol) = deepcopy(_shapes[k])
-
 # -----------------------------------------------------------------------


 # uses the centroid calculation from https://en.wikipedia.org/wiki/Centroid#Centroid_of_polygon
-"return the centroid of a Shape"
 function center(shape::Shape)
-    x, y = coords(shape)
+    x, y = shape_coords(shape)
    n = length(x)
    A, Cx, Cy = 0.0, 0.0, 0.0
    for i=1:n
@@ -183,8 +163,8 @@ function center(shape::Shape)
    Cx / 6A, Cy / 6A
 end

-function scale!(shape::Shape, x::Real, y::Real = x, c = center(shape))
-    sx, sy = coords(shape)
+function Base.scale!(shape::Shape, x::Real, y::Real = x, c = center(shape))
+    sx, sy = shape_coords(shape)
    cx, cy = c
    for i=1:length(sx)
        sx[i] = (sx[i] - cx) * x + cx
@@ -193,14 +173,13 @@ function scale!(shape::Shape, x::Real, y::Real = x, c = center(shape))
    shape
 end

-function scale(shape::Shape, x::Real, y::Real = x, c = center(shape))
+function Base.scale(shape::Shape, x::Real, y::Real = x, c = center(shape))
    shapecopy = deepcopy(shape)
-    scale!(shapecopy, x, y, c)
+    scale!(shape, x, y, c)
 end

-"translate a Shape in space"
 function translate!(shape::Shape, x::Real, y::Real = x)
-    sx, sy = coords(shape)
+    sx, sy = shape_coords(shape)
    for i=1:length(sx)
        sx[i] += x
        sy[i] += y
@@ -210,7 +189,7 @@ end

 function translate(shape::Shape, x::Real, y::Real = x)
    shapecopy = deepcopy(shape)
-    translate!(shapecopy, x, y)
+    translate!(shape, x, y)
 end

 function rotate_x(x::Real, y::Real, Θ::Real, centerx::Real, centery::Real)
@@ -227,17 +206,15 @@ function rotate(x::Real, y::Real, θ::Real, c = center(shape))
 end

 function rotate!(shape::Shape, Θ::Real, c = center(shape))
-    x, y = coords(shape)
+    x, y = shape_coords(shape)
    cx, cy = c
    for i=1:length(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
+        x[i] = rotate_x(x[i], y[i], Θ, cx, cy)
+        y[i] = rotate_y(x[i], y[i], Θ, cx, cy)
    end
    shape
 end

-"rotate an object in space"
 function rotate(shape::Shape, Θ::Real, c = center(shape))
    shapecopy = deepcopy(shape)
    rotate!(shapecopy, Θ, c)
@@ -246,7 +223,7 @@ end
 # -----------------------------------------------------------------------


-mutable struct Font
+immutable Font
  family::AbstractString
  pointsize::Int
  halign::Symbol
@@ -259,7 +236,7 @@ end
 function font(args...)

  # defaults
-  family = "sans-serif"
+  family = "Helvetica"
  pointsize = 14
  halign = :hcenter
  valign = :vcenter
@@ -303,79 +280,40 @@ function font(args...)
  Font(family, pointsize, halign, valign, rotation, color)
 end

-function scalefontsize(k::Symbol, factor::Number)
-    f = default(k)
-    f = round(Int, factor * f)
-    default(k, f)
-end
-
-"""
-    scalefontsizes(factor::Number)
-
-Scales all **current** font sizes by `factor`. For example `scalefontsizes(1.1)` increases all current font sizes by 10%. To reset to initial sizes, use `scalefontsizes()`
-"""
-function scalefontsizes(factor::Number)
-    for k in (:titlefontsize, :guidefontsize, :tickfontsize, :legendfontsize)
-        scalefontsize(k, factor)
-    end
-end
-
-"""
-    scalefontsizes()
-
-Resets font sizes to initial default values.
-"""
-function scalefontsizes()
-  for k in (:titlefontsize, :guidefontsize, :tickfontsize, :legendfontsize)
-      f = default(k)
-      if k in keys(_initial_fontsizes)
-        factor = f / _initial_fontsizes[k]
-        scalefontsize(k, 1.0/factor)
-      end
-  end
-end
-
 "Wrap a string with font info"
-struct PlotText
+immutable PlotText
  str::AbstractString
  font::Font
 end
 PlotText(str) = PlotText(string(str), font())

-"""
-    text(string, args...)
-
-Create a PlotText object wrapping a string with font info, for plot annotations
-"""
 text(t::PlotText) = t
-text(t::PlotText, font::Font) = PlotText(t.str, font)
 text(str::AbstractString, f::Font) = PlotText(str, f)
 function text(str, args...)
  PlotText(string(str), font(args...))
 end

-Base.length(t::PlotText) = length(t.str)
+
+annotations(::Void) = []
+annotations(anns::AVec) = anns
+annotations(anns) = Any[anns]
+

 # -----------------------------------------------------------------------

 # -----------------------------------------------------------------------

-struct Stroke
+immutable Stroke
  width
  color
  alpha
  style
 end

-"""
-    stroke(args...; alpha = nothing)
-
-Define the properties of the stroke used in plotting lines
-"""
 function stroke(args...; alpha = nothing)
-  width = 1
-  color = :black
-  style = :solid
+  width = nothing
+  color = nothing
+  style = nothing

  for arg in args
    T = typeof(arg)
@@ -402,15 +340,15 @@ function stroke(args...; alpha = nothing)
 end


-struct Brush
+immutable Brush
  size  # fillrange, markersize, or any other sizey attribute
  color
  alpha
 end

 function brush(args...; alpha = nothing)
-  size = 1
-  color = :black
+  size = nothing
+  color = nothing

  for arg in args
    T = typeof(arg)
@@ -435,173 +373,22 @@ end

 # -----------------------------------------------------------------------

-mutable struct SeriesAnnotations
-    strs::AbstractVector  # the labels/names
-    font::Font
-    baseshape::Nullable
-    scalefactor::Tuple
-end
-function series_annotations(strs::AbstractVector, args...)
-    fnt = font()
-    shp = Nullable{Any}()
-    scalefactor = (1,1)
-    for arg in args
-        if isa(arg, Shape) || (isa(arg, AbstractVector) && eltype(arg) == Shape)
-            shp = Nullable(arg)
-        elseif isa(arg, Font)
-            fnt = arg
-        elseif isa(arg, Symbol) && haskey(_shapes, arg)
-            shp = _shapes[arg]
-        elseif isa(arg, Number)
-            scalefactor = (arg,arg)
-        elseif is_2tuple(arg)
-            scalefactor = arg
-        else
-            warn("Unused SeriesAnnotations arg: $arg ($(typeof(arg)))")
-        end
-    end
-    # if scalefactor != 1
-    #     for s in get(shp)
-    #         scale!(s, scalefactor, scalefactor, (0,0))
-    #     end
-    # end
-    SeriesAnnotations(strs, fnt, shp, scalefactor)
-end
-series_annotations(anns::SeriesAnnotations) = anns
-series_annotations(::Void) = nothing
-
-function series_annotations_shapes!(series::Series, scaletype::Symbol = :pixels)
-    anns = series[:series_annotations]
-    # msw,msh = anns.scalefactor
-    # ms = series[:markersize]
-    # msw,msh = if isa(ms, AbstractVector)
-    #     1,1
-    # elseif is_2tuple(ms)
-    #     ms
-    # else
-    #     ms,ms
-    # end
-
-    # @show msw msh
-    if anns != nothing && !isnull(anns.baseshape)
-        # we use baseshape to overwrite the markershape attribute
-        # with a list of custom shapes for each
-        msw,msh = anns.scalefactor
-        msize = Float64[]
-        shapes = Shape[begin
-            str = _cycle(anns.strs,i)
-
-            # get the width and height of the string (in mm)
-            sw, sh = text_size(str, anns.font.pointsize)
-
-            # how much to scale the base shape?
-            # note: it's a rough assumption that the shape fills the unit box [-1,-1,1,1],
-            #       so we scale the length-2 shape by 1/2 the total length
-            scalar = (backend() == PyPlotBackend() ? 1.7 : 1.0)
-            xscale = 0.5to_pixels(sw) * scalar
-            yscale = 0.5to_pixels(sh) * scalar
-
-            # we save the size of the larger direction to the markersize list,
-            # and then re-scale a copy of baseshape to match the w/h ratio
-            maxscale = max(xscale, yscale)
-            push!(msize, maxscale)
-            baseshape = _cycle(get(anns.baseshape),i)
-            shape = scale(baseshape, msw*xscale/maxscale, msh*yscale/maxscale, (0,0))
-        end for i=1:length(anns.strs)]
-        series[:markershape] = shapes
-        series[:markersize] = msize
-    end
-    return
-end
-
-mutable struct EachAnn
-    anns
-    x
-    y
-end
-Base.start(ea::EachAnn) = 1
-Base.done(ea::EachAnn, i) = ea.anns == nothing || isempty(ea.anns.strs) || i > length(ea.y)
-function Base.next(ea::EachAnn, i)
-    tmp = _cycle(ea.anns.strs,i)
-    str,fnt = if isa(tmp, PlotText)
-        tmp.str, tmp.font
-    else
-        tmp, ea.anns.font
-    end
-    ((_cycle(ea.x,i), _cycle(ea.y,i), str, fnt), i+1)
-end
-
-annotations(::Void) = []
-annotations(anns::AVec) = anns
-annotations(anns) = Any[anns]
-annotations(sa::SeriesAnnotations) = sa
-
-# Expand arrays of coordinates, positions and labels into induvidual annotations
-# and make sure labels are of type PlotText
-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))
-        x, y, lab = _cycle(xs, i), _cycle(ys, i), _cycle(labs, i)
-        if lab == :auto
-            alphabet = "abcdefghijklmnopqrstuvwxyz"
-            push!(anns, (x, y, text(string("(", alphabet[sp[:subplot_index]], ")"), font)))
-        else
-            push!(anns, (x, y, isa(lab, PlotText) ? lab : text(lab, font)))
-        end
-    end
-    anns
-end
-function process_annotation(sp::Subplot, positions::Union{AVec{Symbol},Symbol}, labs, font = font())
-    anns = []
-    positions, labs = makevec(positions), makevec(labs)
-    for i in 1:max(length(positions), length(labs))
-        pos, lab = _cycle(positions, i), _cycle(labs, i)
-        pos = get(_positionAliases, pos, pos)
-        if lab == :auto
-            alphabet = "abcdefghijklmnopqrstuvwxyz"
-            push!(anns, (pos, text(string("(", alphabet[sp[:subplot_index]], ")"), font)))
-        else
-            push!(anns, (pos, isa(lab, PlotText) ? lab : text(lab, font)))
-        end
-    end
-    anns
-end
-
-# Give each annotation coordinates based on specified position
-function locate_annotation(sp::Subplot, pos::Symbol, lab::PlotText)
-    position_multiplier = Dict{Symbol, Tuple{Float64,Float64}}(
-        :topleft       => (0.1, 0.9),
-        :topcenter     => (0.5, 0.9),
-        :topright      => (0.9, 0.9),
-        :bottomleft    => (0.1, 0.1),
-        :bottomcenter  => (0.5, 0.1),
-        :bottomright   => (0.9, 0.1),
-    )
-    xmin, xmax = ignorenan_extrema(sp[:xaxis])
-    ymin, ymax = ignorenan_extrema(sp[:yaxis])
-    x, y = (xmin, ymin).+ position_multiplier[pos].* (xmax - xmin, ymax - ymin)
-    (x, y, lab)
-end
-locate_annotation(sp::Subplot, x, y, label::PlotText) = (x, y, label)
-# -----------------------------------------------------------------------
-
 "type which represents z-values for colors and sizes (and anything else that might come up)"
-struct ZValues
+immutable ZValues
  values::Vector{Float64}
  zrange::Tuple{Float64,Float64}
 end

-function zvalues(values::AVec{T}, zrange::Tuple{T,T} = (ignorenan_minimum(values), ignorenan_maximum(values))) where T<:Real
+function zvalues{T<:Real}(values::AVec{T}, zrange::Tuple{T,T} = (minimum(values), maximum(values)))
  ZValues(collect(float(values)), map(Float64, zrange))
 end

 # -----------------------------------------------------------------------

-abstract type AbstractSurface end
+abstract AbstractSurface

 "represents a contour or surface mesh"
-struct Surface{M<:AMat} <: AbstractSurface
+immutable Surface{M<:AMat} <: AbstractSurface
  surf::M
 end

@@ -612,8 +399,8 @@ 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)
+Base.copy(surf::Surface) = Surface{typeof(surf.surf)}(copy(surf.surf))
+Base.eltype{T}(surf::Surface{T}) = eltype(T)

 function expand_extrema!(a::Axis, surf::Surface)
    ex = a[:extrema]
@@ -624,69 +411,28 @@ function expand_extrema!(a::Axis, surf::Surface)
 end

 "For the case of representing a surface as a function of x/y... can possibly avoid allocations."
-struct SurfaceFunction <: AbstractSurface
+immutable SurfaceFunction <: AbstractSurface
    f::Function
 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
+immutable Arrow
    style::Symbol
-    side::Symbol  # :head (default), :tail, or :both
    headlength::Float64
    headwidth::Float64
 end

-"""
-    arrow(args...)
-
-Define arrowheads to apply to lines - args are `style` (`:open` or `:closed`),
-`side` (`:head`, `:tail` or `:both`), `headlength` and `headwidth`
-"""
 function arrow(args...)
    style = :simple
-    side = :head
    headlength = 0.3
    headwidth = 0.3
    setlength = false
    for arg in args
        T = typeof(arg)
        if T == Symbol
-            if arg in (:head, :tail, :both)
-                side = arg
-            else
-                style = arg
-            end
+            style = arg
        elseif T <: Number
            # first we apply to both, but if there's more, then only change width after the first number
            headwidth = Float64(arg)
@@ -700,7 +446,7 @@ function arrow(args...)
            warn("Skipped arrow arg $arg")
        end
    end
-    Arrow(style, side, headlength, headwidth)
+    Arrow(style, headlength, headwidth)
 end


@@ -719,45 +465,58 @@ 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"
-mutable struct BezierCurve{T <: FixedSizeArrays.Vec}
-    control_points::Vector{T}
+
+type BezierCurve{T <: FixedSizeArrays.Vec}
+  control_points::Vector{T}
 end

-function (bc::BezierCurve)(t::Real)
-    p = zero(P2)
-    n = length(bc.control_points)-1
-    for i in 0:n
-        p += bc.control_points[i+1] * binomial(n, i) * (1-t)^(n-i) * t^i
-    end
-    p
+@compat function (bc::BezierCurve)(t::Real)
+  p = zero(P2)
+  n = length(bc.control_points)-1
+  for i in 0:n
+      p += bc.control_points[i+1] * binomial(n, i) * (1-t)^(n-i) * t^i
+  end
+  p
 end

-# mean(x::Real, y::Real) = 0.5*(x+y) #commented out as I cannot see this used anywhere and it overwrites a Base method with different functionality
-# mean{N,T<:Real}(ps::FixedSizeArrays.Vec{N,T}...) = sum(ps) / length(ps) # I also could not see this used anywhere, and it's type piracy - implementing a NaNMath version for this would just involve converting to a standard array
+Base.mean(x::Real, y::Real) = 0.5*(x+y)
+Base.mean{N,T<:Real}(ps::FixedSizeArrays.Vec{N,T}...) = sum(ps) / length(ps)

-@deprecate curve_points coords
-
-coords(curve::BezierCurve, n::Integer = 30; range = [0,1]) = map(curve, linspace(range..., n))
+curve_points(curve::BezierCurve, n::Integer = 30; range = [0,1]) = map(curve, linspace(range..., 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]
-function directed_curve(args...; kw...)
-    error("directed_curve has been moved to PlotRecipes")
+function directed_curve(p::P2, q::P2; xview = 0:1, yview = 0:1)
+mn = mean(p, q)
+diff = q - p
+
+minx, maxx = minimum(xview), maximum(xview)
+miny, maxy = minimum(yview), maximum(yview)
+diffpct = P2(diff[1] / (maxx - minx),
+             diff[2] / (maxy - miny))
+
+# these points give the initial/final "rise"
+# vertical_offset = P2(0, (maxy - miny) * max(0.03, min(abs(0.5diffpct[2]), 1.0)))
+vertical_offset = P2(0, max(0.15, 0.5norm(diff)))
+upper_control = p + vertical_offset
+lower_control = q - vertical_offset
+
+# try to figure out when to loop around vs just connecting straight
+# TODO: choose loop direction based on sign of p[1]??
+# x_close_together = abs(diffpct[1]) <= 0.05
+p_is_higher = diff[2] <= 0
+inside_control_points = if p_is_higher
+  # add curve points which will create a loop
+  sgn = mn[1] < 0.5 * (maxx + minx) ? -1 : 1
+  inside_offset = P2(0.3 * (maxx - minx), 0)
+  additional_offset = P2(sgn * diff[1], 0)  # make it even loopier
+  [upper_control + sgn * (inside_offset + max(0,  additional_offset)),
+   lower_control + sgn * (inside_offset + max(0, -additional_offset))]
+else
+  []
 end

-function extrema_plus_buffer(v, buffmult = 0.2)
-    vmin,vmax = ignorenan_extrema(v)
-    vdiff = vmax-vmin
-    buffer = vdiff * buffmult
-    vmin - buffer, vmax + buffer
+BezierCurve([p, upper_control, inside_control_points..., lower_control, q])
 end
@@ -1,5 +1,5 @@

-abstract type ColorScheme end
+abstract ColorScheme

 Base.getindex(scheme::ColorScheme, i::Integer) = getColor(scheme, i)

@@ -34,9 +34,9 @@ getColorVector(scheme::ColorScheme) = [getColor(scheme)]
 colorscheme(scheme::ColorScheme) = scheme
 colorscheme(s::AbstractString; kw...) = colorscheme(Symbol(s); kw...)
 colorscheme(s::Symbol; kw...) = haskey(_gradients, s) ? ColorGradient(s; kw...) : ColorWrapper(convertColor(s); kw...)
-colorscheme(s::Symbol, vals::AVec{T}; kw...) where {T<:Real} = ColorGradient(s, vals; kw...)
+colorscheme{T<:Real}(s::Symbol, vals::AVec{T}; kw...) = ColorGradient(s, vals; kw...)
 colorscheme(cs::AVec, vs::AVec; kw...) = ColorGradient(cs, vs; kw...)
-colorscheme(cs::AVec{T}; kw...) where {T<:Colorant} = ColorGradient(cs; kw...)
+colorscheme{T<:Colorant}(cs::AVec{T}; kw...) = ColorGradient(cs; kw...)
 colorscheme(f::Function; kw...) = ColorFunction(f; kw...)
 colorscheme(v::AVec; kw...) = ColorVector(v; kw...)
 colorscheme(m::AMat; kw...) = size(m,1) == 1 ? map(c->colorscheme(c; kw...), m) : [colorscheme(m[:,i]; kw...) for i in 1:size(m,2)]'
@@ -98,7 +98,7 @@ const _gradients = KW(
    :lighttest    => map(c -> lighten(c, 0.3), _testColors),
  )

-function register_gradient_colors(name::Symbol, colors::AVec{C}) where C<:Colorant
+function register_gradient_colors{C<:Colorant}(name::Symbol, colors::AVec{C})
    _gradients[name] = colors
 end

@@ -109,11 +109,11 @@ default_gradient() = ColorGradient(:inferno)
 # --------------------------------------------------------------

 "Continuous gradient between values.  Wraps a list of bounding colors and the values they represent."
-struct ColorGradient <: ColorScheme
+immutable ColorGradient <: ColorScheme
  colors::Vector
  values::Vector

-  function ColorGradient(cs::AVec, vals::AVec{S} = linspace(0, 1, length(cs)); alpha = nothing) where S<:Real
+  function ColorGradient{S<:Real}(cs::AVec, vals::AVec{S} = linspace(0, 1, length(cs)); alpha = nothing)
    if length(cs) == length(vals)
      return new(convertColor(cs,alpha), collect(vals))
    end
@@ -138,7 +138,7 @@ Base.getindex(cs::ColorGradient, z::Number) = getColorZ(cs, z)


 # create a gradient from a symbol (blues, reds, etc) and vector of boundary values
-function ColorGradient(s::Symbol, vals::AVec{T} = 0:0; kw...) where T<:Real
+function ColorGradient{T<:Real}(s::Symbol, vals::AVec{T} = 0:0; kw...)
  haskey(_gradients, s) || error("Invalid gradient symbol.  Choose from: ", sort(collect(keys(_gradients))))
  cs = _gradients[s]
  if vals == 0:0
@@ -208,7 +208,7 @@ end
 # --------------------------------------------------------------

 "Wraps a function, taking an index and returning a Colorant"
-struct ColorFunction <: ColorScheme
+immutable ColorFunction <: ColorScheme
  f::Function
 end

@@ -217,7 +217,7 @@ getColor(scheme::ColorFunction, idx::Int) = scheme.f(idx)
 # --------------------------------------------------------------

 "Wraps a function, taking an z-value and returning a Colorant"
-struct ColorZFunction <: ColorScheme
+immutable ColorZFunction <: ColorScheme
  f::Function
 end

@@ -226,7 +226,7 @@ getColorZ(scheme::ColorZFunction, z::Real) = scheme.f(z)
 # --------------------------------------------------------------

 "Wraps a vector of colors... may be vector of Symbol/String/Colorant"
-struct ColorVector <: ColorScheme
+immutable ColorVector <: ColorScheme
  v::Vector{Colorant}
  ColorVector(v::AVec; alpha = nothing) = new(convertColor(v,alpha))
 end
@@ -238,7 +238,7 @@ getColorVector(scheme::ColorVector) = scheme.v
 # --------------------------------------------------------------

 "Wraps a single color"
-struct ColorWrapper <: ColorScheme
+immutable ColorWrapper <: ColorScheme
  c::RGBA
  ColorWrapper(c::Colorant; alpha = nothing) = new(convertColor(c, alpha))
 end
@@ -347,8 +347,8 @@ function get_color_palette(palette, bgcolor::Union{Colorant,ColorWrapper}, numco
  RGBA[getColorZ(grad, z) for z in zrng]
 end

-function get_color_palette(palette::Vector{C},
-bgcolor::Union{Colorant,ColorWrapper}, numcolors::Integer) where C<:Colorant
+function get_color_palette{C<:Colorant}(palette::Vector{C},
+            bgcolor::Union{Colorant,ColorWrapper}, numcolors::Integer)
  palette
 end

@@ -5,21 +5,21 @@
 # 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 = Union{Function, AVec{Function}}
+typealias FuncOrFuncs @compat(Union{Function, AVec{Function}})

 all3D(d::KW) = trueOrAllTrue(st -> st in (:contour, :contourf, :heatmap, :surface, :wireframe, :contour3d, :image), get(d, :seriestype, :none))

 # missing
-convertToAnyVector(v::Void, d::KW) = Any[nothing], nothing
+convertToAnyVector(v::@compat(Void), d::KW) = Any[nothing], nothing

 # fixed number of blank series
 convertToAnyVector(n::Integer, d::KW) = Any[zeros(0) for i in 1:n], nothing

 # numeric vector
-convertToAnyVector(v::AVec{T}, d::KW) where {T<:Number} = Any[v], nothing
+convertToAnyVector{T<:Number}(v::AVec{T}, d::KW) = Any[v], nothing

 # string vector
-convertToAnyVector(v::AVec{T}, d::KW) where {T<:AbstractString} = Any[v], nothing
+convertToAnyVector{T<:@compat(AbstractString)}(v::AVec{T}, d::KW) = Any[v], nothing

 function convertToAnyVector(v::AMat, d::KW)
    if all3D(d)
@@ -39,7 +39,7 @@ convertToAnyVector(s::Surface, d::KW) = Any[s], nothing
 # convertToAnyVector(v::AVec{OHLC}, d::KW) = Any[v], nothing

 # dates
-convertToAnyVector(dts::AVec{D}, d::KW) where {D<:Union{Date,DateTime}} = Any[dts], nothing
+convertToAnyVector{D<:Union{Date,DateTime}}(dts::AVec{D}, d::KW) = Any[dts], nothing

 # list of things (maybe other vectors, functions, or something else)
 function convertToAnyVector(v::AVec, d::KW)
@@ -1,7 +1,7 @@
 """
 Holds all data needed for a documentation example... header, description, and plotting expression (Expr)
 """
-mutable struct PlotExample
+type PlotExample
  header::AbstractString
  desc::AbstractString
  exprs::Vector{Expr}
@@ -18,14 +18,7 @@ PlotExample("Lines",
 ),

 PlotExample("Functions, adding data, and animations",
-"""
-Plot multiple functions.  You can also put the function first, or use the form `plot(f,
-xmin, xmax)` where f is a Function or AbstractVector{Function}.\n\nGet series data:
-`x, y = plt[i]`.  Set series data: `plt[i] = (x,y)`. Add to the series with
-`push!`/`append!`.\n\nEasily build animations.  (`convert` or `ffmpeg` must be available
-to generate the animation.)  Use command `gif(anim, filename, fps=15)` to save the
-animation.
-""",
+    "Plot multiple functions.  You can also put the function first, or use the form `plot(f, xmin, xmax)` where f is a Function or AbstractVector{Function}.\n\nGet series data: `x, y = plt[i]`.  Set series data: `plt[i] = (x,y)`. Add to the series with `push!`/`append!`.\n\nEasily build animations.  (`convert` or `ffmpeg` must be available to generate the animation.)  Use command `gif(anim, filename, fps=15)` to save the animation.",
    [:(begin
        p = plot([sin,cos], zeros(0), leg=false)
        anim = Animation()
@@ -44,35 +37,23 @@ PlotExample("Parametric plots",
 ),

 PlotExample("Colors",
-"""
-Access predefined palettes (or build your own with the `colorscheme` method).
-Line/marker colors are auto-generated from the plot's palette, unless overridden.  Set
-the `z` argument to turn on series gradients.
-""",
+    "Access predefined palettes (or build your own with the `colorscheme` method).  Line/marker colors are auto-generated from the plot's palette, unless overridden.  Set the `z` argument to turn on series gradients.",
    [:(begin
-y = rand(100)
-plot(0:10:100,rand(11,4),lab="lines",w=3,palette=:grays,fill=0, α=0.6)
-scatter!(y, zcolor=abs.(y-.5), m=(:heat,0.8,stroke(1,:green)), ms=10*abs.(y-0.5)+4,
-         lab="grad")
+        y = rand(100)
+        plot(0:10:100,rand(11,4),lab="lines",w=3,palette=:grays,fill=(0,:auto), α=0.6)
+        scatter!(y, zcolor=abs(y-.5), m=(:heat,0.8,stroke(1,:green)), ms=10*abs(y-0.5)+4, lab="grad")
    end)]
 ),

 PlotExample("Global",
-"""
-Change the guides/background/limits/ticks.  Convenience args `xaxis` and `yaxis` allow
-you to pass a tuple or value which will be mapped to the relevant args automatically.
-The `xaxis` below will be replaced with `xlabel` and `xlims` args automatically during
-the preprocessing step. You can also use shorthand functions: `title!`, `xaxis!`,
-`yaxis!`, `xlabel!`, `ylabel!`, `xlims!`, `ylims!`, `xticks!`, `yticks!`
-""",
+    "Change the guides/background/limits/ticks.  Convenience args `xaxis` and `yaxis` allow you to pass a tuple or value which will be mapped to the relevant args automatically.  The `xaxis` below will be replaced with `xlabel` and `xlims` args automatically during the preprocessing step. You can also use shorthand functions: `title!`, `xaxis!`, `yaxis!`, `xlabel!`, `ylabel!`, `xlims!`, `ylims!`, `xticks!`, `yticks!`",
    [:(begin
-y = rand(20,3)
-plot(y, xaxis=("XLABEL",(-5,30),0:2:20,:flip), background_color = RGB(0.2,0.2,0.2),
-     leg=false)
-hline!(mean(y,1)+rand(1,3), line=(4,:dash,0.6,[:lightgreen :green :darkgreen]))
-vline!([5,10])
-title!("TITLE")
-yaxis!("YLABEL", :log10)
+        y = rand(20,3)
+        plot(y, xaxis=("XLABEL",(-5,30),0:2:20,:flip), background_color = RGB(0.2,0.2,0.2), leg=false)
+        hline!(mean(y,1)+rand(1,3), line=(4,:dash,0.6,[:lightgreen :green :darkgreen]))
+        vline!([5,10])
+        title!("TITLE")
+        yaxis!("YLABEL", :log10)
    end)]
 ),

@@ -80,26 +61,19 @@ yaxis!("YLABEL", :log10)
 #             "Use the `axis` arguments.",
 #             [
 #               :(plot(Vector[randn(100), randn(100)*100], axis = [:l :r], ylabel="LEFT", yrightlabel="RIGHT", xlabel="X", title="TITLE"))
-#             ]),
+#             ]), 

 PlotExample("Images",
    "Plot an image.  y-axis is set to flipped",
    [:(begin
-        import FileIO
-        img = FileIO.load(Pkg.dir("PlotReferenceImages","Plots","pyplot","0.7.0","ref1.png"))
+        import Images
+        img = Images.load(Pkg.dir("PlotReferenceImages","Plots","pyplot","0.7.0","ref1.png"))
        plot(img)
    end)]
 ),

 PlotExample("Arguments",
-"""
-Plot multiple series with different numbers of points.  Mix arguments that apply to all
-series (marker/markersize) with arguments unique to each series (colors).  Special
-arguments `line`, `marker`, and `fill` will automatically figure out what arguments to
-set (for example, we are setting the `linestyle`, `linewidth`, and `color` arguments with
-`line`.)  Note that we pass a matrix of colors, and this applies the colors to each
-series.
-""",
+    "Plot multiple series with different numbers of points.  Mix arguments that apply to all series (marker/markersize) with arguments unique to each series (colors).  Special arguments `line`, `marker`, and `fill` will automatically figure out what arguments to set (for example, we are setting the `linestyle`, `linewidth`, and `color` arguments with `line`.)  Note that we pass a matrix of colors, and this applies the colors to each series.",
    [:(begin
        ys = Vector[rand(10), rand(20)]
        plot(ys, color=[:black :orange], line=(:dot,4), marker=([:hex :d],12,0.8,stroke(3,:gray)))
@@ -141,23 +115,20 @@ PlotExample("Line types",
 PlotExample("Line styles",
    "",
    [:(begin
-styles = filter(s -> s in Plots.supported_styles(),
-                [:solid, :dash, :dot, :dashdot, :dashdotdot])
-styles = reshape(styles, 1, length(styles)) # Julia 0.6 unfortunately gives an error when transposing symbol vectors
-n = length(styles)
-y = cumsum(randn(20,n),1)
-plot(y, line = (5, styles), label = map(string,styles), legendtitle = "linestyle")
-             end)]
+        styles = filter(s -> s in supported_styles(), [:solid, :dash, :dot, :dashdot, :dashdotdot])'
+        n = length(styles)
+        y = cumsum(randn(20,n),1)
+        plot(y, line = (5, styles), label = map(string,styles))
+    end)]
 ),

 PlotExample("Marker types",
    "",
    [:(begin
-        markers = filter(m -> m in Plots.supported_markers(), Plots._shape_keys)
-        markers = reshape(markers, 1, length(markers))
+        markers = filter(m -> m in supported_markers(), Plots._shape_keys)'
        n = length(markers)
        x = linspace(0,10,n+2)[2:end-1]
-        y = repmat(reshape(reverse(x),1,:), n, 1)
+        y = repmat(reverse(x)', n, 1)
        scatter(x, y, m=(8,:auto), lab=map(string,markers), bg=:linen, xlim=(0,10), ylim=(0,10))
    end)]
 ),
@@ -172,30 +143,24 @@ PlotExample("Bar",
 PlotExample("Histogram",
    "",
    [:(begin
-        histogram(randn(1000), bins = :scott, weights = repeat(1:5, outer = 200))
+        histogram(randn(1000), nbins=20)
    end)]
 ),

 PlotExample("Subplots",
-"""
-Use the `layout` keyword, and optionally the convenient `@layout` macro to generate
-arbitrarily complex subplot layouts.
-""",
+    """
+    Use the `layout` keyword, and optionally the convenient `@layout` macro to generate arbitrarily complex subplot layouts.
+    """,
    [:(begin
-l = @layout([a{0.1h}; b [c;d e]])
-plot(randn(100,5), layout=l, t=[:line :histogram :scatter :steppre :bar], leg=false,
-     ticks=nothing, border=:none)
+        l = @layout([a{0.1h}; b [c;d e]])
+        plot(randn(100,5), layout=l, t=[:line :histogram :scatter :steppre :bar], leg=false, ticks=nothing, border=false)
    end)]
 ),

 PlotExample("Adding to subplots",
-"""
-Note here the automatic grid layout, as well as the order in which new series are added
-to the plots.
-""",
+    "Note here the automatic grid layout, as well as the order in which new series are added to the plots.",
    [:(begin
-plot(Plots.fakedata(100,10), layout=4, palette=[:grays :blues :heat :lightrainbow],
-     bg_inside=[:orange :pink :darkblue :black])
+        plot(Plots.fakedata(100,10), layout=4, palette=[:grays :blues :heat :lightrainbow], bg_inside=[:orange :pink :darkblue :black])
    end)]
 ),

@@ -208,68 +173,48 @@ PlotExample("",
 ),

 PlotExample("Open/High/Low/Close",
-"""
-Create an OHLC chart.  Pass in a list of (open,high,low,close) tuples as your `y`
-argument.  This uses recipes to first convert the tuples to OHLC objects, and
-subsequently create a :path series with the appropriate line segments.
-""",
+    "Create an OHLC chart.  Pass in a list of (open,high,low,close) tuples as your `y` argument.  This uses recipes to first convert the tuples to OHLC objects, and subsequently create a :path series with the appropriate line segments.",
    [:(begin
-n=20
-hgt=rand(n)+1
-bot=randn(n)
-openpct=rand(n)
-closepct=rand(n)
-y = OHLC[(openpct[i]*hgt[i]+bot[i], bot[i]+hgt[i], bot[i],
-          closepct[i]*hgt[i]+bot[i]) for i in 1:n]
-ohlc(y)
+        n=20
+        hgt=rand(n)+1
+        bot=randn(n)
+        openpct=rand(n)
+        closepct=rand(n)
+        y = OHLC[(openpct[i]*hgt[i]+bot[i], bot[i]+hgt[i], bot[i], closepct[i]*hgt[i]+bot[i]) for i in 1:n]
+        ohlc(y)
    end)]
 ),

 PlotExample("Annotations",
-"""
-The `annotations` keyword is used for text annotations in data-coordinates.  Pass in a
-tuple (x,y,text) or a vector of annotations.  `annotate!(ann)` is shorthand for `plot!(;
-annotation=ann)`.  Series annotations are used for annotating individual data points.
-They require only the annotation... x/y values are computed.  A `PlotText` object can be
-build with the method `text(string, attr...)`, which wraps font and color attributes.
-""",
+    "The `annotations` keyword is used for text annotations in data-coordinates.  Pass in a tuple (x,y,text) or a vector of annotations.  `annotate!(ann)` is shorthand for `plot!(; annotation=ann)`.  Series annotations are used for annotating individual data points.  They require only the annotation... x/y values are computed.  A `PlotText` object can be build with the method `text(string, attr...)`, which wraps font and color attributes.",
    [:(begin
-y = rand(10)
-plot(y, annotations = (3,y[3],text("this is #3",:left)), leg=false)
-annotate!([(5, y[5], text("this is #5",16,:red,:center)),
-          (10, y[10], text("this is #10",:right,20,"courier"))])
-scatter!(linspace(2,8,6), rand(6), marker=(50,0.2,:orange),
-         series_annotations = ["series","annotations","map","to","series",
-                               text("data",:green)])
+        y = rand(10)
+        plot(y, annotations = (3,y[3],text("this is #3",:left)), leg=false)
+        annotate!([(5, y[5], text("this is #5",16,:red,:center)), (10, y[10], text("this is #10",:right,20,"courier"))])
+        scatter!(linspace(2,8,6), rand(6), marker=(50,0.2,:orange), series_annotations = ["series","annotations","map","to","series",text("data",:green)])
    end)]
 ),

 PlotExample("Custom Markers",
-"""A `Plots.Shape` is a light wrapper around vertices of a polygon.  For supported
-backends, pass arbitrary polygons as the marker shapes.  Note: The center is (0,0) and
-the size is expected to be rougly the area of the unit circle.
-""",
+    "A `Plots.Shape` is a light wrapper around vertices of a polygon.  For supported backends, pass arbitrary polygons as the marker shapes.  Note: The center is (0,0) and the size is expected to be rougly the area of the unit circle.",
    [:(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 = 0.7rand(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)
+        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 = 0.7rand(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)]
 ),

 PlotExample("Contours",
-"""
-Any value for fill works here.  We first build a filled contour from a function, then an
-unfilled contour from a matrix.
-""",
+    "Any value for fill works here.  We first build a filled contour from a function, then an unfilled contour from a matrix.",
    [:(begin
        x = 1:0.5:20
        y = 1:0.5:10
        f(x,y) = (3x+y^2)*abs(sin(x)+cos(y))
-        X = repmat(reshape(x,1,:), length(y), 1)
+        X = repmat(x', length(y), 1)
        Y = repmat(y, 1, length(x))
        Z = map(f, X, Y)
        p1 = contour(x, y, f, fill=true)
@@ -305,9 +250,9 @@ PlotExample("DataFrames",
    [:(begin
        import RDatasets
        iris = RDatasets.dataset("datasets", "iris")
-        @df iris scatter(:SepalLength, :SepalWidth, group=:Species,
+        scatter(iris, :SepalLength, :SepalWidth, group=:Species,
            title = "My awesome plot", xlabel = "Length", ylabel = "Width",
-            marker = (0.5, [:cross :hex :star7], 12), bg=RGB(.2,.2,.2))
+            marker = (0.5, [:+ :h :star7], 12), bg=RGB(.2,.2,.2))
    end)]
 ),

@@ -315,8 +260,7 @@ PlotExample("Groups and Subplots",
    "",
    [:(begin
        group = rand(map(i->"group $i",1:4),100)
-        plot(rand(100), layout=@layout([a b;c]), group=group,
-            linetype=[:bar :scatter :steppre], linecolor = :match)
+        plot(rand(100), layout=@layout([a b;c]), group=group, linetype=[:bar :scatter :steppre])
    end)]
 ),

@@ -324,7 +268,7 @@ PlotExample("Polar Plots",
    "",
    [:(begin
        Θ = linspace(0,1.5π,100)
-        r = abs.(0.1randn(100)+sin.(3Θ))
+        r = abs(0.1randn(100)+sin(3Θ))
        plot(Θ, r, proj=:polar, m=2)
    end)]
 ),
@@ -334,7 +278,7 @@ PlotExample("Heatmap, categorical axes, and aspect_ratio",
    [:(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,:))
+        z = float((1:4)*(1:10)')
        heatmap(xs, ys, z, aspect_ratio=1)
    end)]
 ),
@@ -342,10 +286,9 @@ PlotExample("Heatmap, categorical axes, and aspect_ratio",
 PlotExample("Layouts, margins, label rotation, title location",
    "",
    [:(begin
-        using Plots.PlotMeasures # for Measures, e.g. mm and px
        plot(rand(100,6),layout=@layout([a b; c]),title=["A" "B" "C"],
                        title_location=:left, left_margin=[20mm 0mm],
-                        bottom_margin=10px, xrotation=60)
+                        bottom_margin=50px, xrotation=60)
    end)]
 ),

@@ -354,83 +297,10 @@ PlotExample("Boxplot and Violin series recipes",
    [:(begin
        import RDatasets
        singers = RDatasets.dataset("lattice", "singer")
-        @df singers violin(:VoicePart, :Height, line = 0, fill = (0.2, :blue))
-        @df singers boxplot!(:VoicePart, :Height, line = (2,:black), fill = (0.3, :orange))
+        violin(singers, :VoicePart, :Height, line = 0, fill = (0.2, :blue))
+        boxplot!(singers, :VoicePart, :Height, line = (2,:black), fill = (0.3, :orange))
    end)]
-),
-
-PlotExample("Animation with subplots",
-    "The `layout` macro can be used to create an animation with subplots.",
-    [:(begin
-        l = @layout([[a; b] c])
-        p = plot(plot([sin,cos],1,leg=false),
-        scatter([atan,cos],1,leg=false),
-        plot(log,1,xlims=(1,10π),ylims=(0,5),leg=false),layout=l)
-
-        anim = Animation()
-        for x = linspace(1,10π,100)
-          plot(push!(p,x,Float64[sin(x),cos(x),atan(x),cos(x),log(x)]))
-          frame(anim)
-        end
-    end)]
-),
-
-PlotExample("Spy",
-"""
-For a matrix `mat` with unique nonzeros `spy(mat)` returns a colorless plot. If `mat` has 
-various different nonzero values, a colorbar is added. The colorbar can be disabled with 
-`legend = nothing`.
-""",
-    [:(begin
-    a = spdiagm((ones(50), ones(49), ones(49), ones(40), ones(40)),(0, 1, -1, 10, -10))
-    b = spdiagm((1:50, 1:49, 1:49, 1:40, 1:40),(0, 1, -1, 10, -10))
-    plot(spy(a), spy(b), title = ["Unique nonzeros" "Different nonzeros"])
-    end)]
-),
-
-PlotExample("Magic grid argument",
-"""
-The grid lines can be modified individually for each axis with the magic `grid` argument.
-""",
-    [:(begin
-    x = rand(10)
-    p1 = plot(x, title = "Default looks")
-    p2 = plot(x, grid = (:y, :olivedrab, :dot, 1, 0.9), title = "Modified y grid")
-    p3 = plot(deepcopy(p2), title = "Add x grid")
-    xgrid!(p3, :on, :cadetblue, 2, :dashdot, 0.4)
-    plot(p1, p2, p3, layout = (1, 3), label = "", fillrange = 0, fillalpha = 0.3)
-    end)]
-),
-
-PlotExample("Framestyle",
-"""
-The style of the frame/axes of a (sub)plot can be changed with the `framestyle`
-attribute. The default framestyle is `:axes`.
-""",
-    [:(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 = RowVector(1:6), layout = 6, label = "", markerstrokewidth = 0,
-        ticks = -2:2)
-    end)]
-),
-
-PlotExample("Lines and markers with varying colors",
-"""
-You can use the `line_z` and `marker_z` properties to associate a color with
-each line segment or marker in the plot. 
-""",
-    [:(begin
-        t = linspace(0, 1, 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=t, color=:bluesreds, legend=false)
-        plot(p1, p2)
-    end)]
-),
+)

 ]

@@ -451,13 +321,6 @@ function test_examples(pkgname::Symbol, idx::Int; debug = false, disp = true)
 end

 # generate all plots and create a dict mapping idx --> plt
-"""
-test_examples(pkgname[, idx]; debug = false, disp = true, sleep = nothing,
-                                        skip = [], only = nothing
-
-Run the `idx` test example for a given backend, or all examples if `idx`
-is not specified.
-"""
 function test_examples(pkgname::Symbol; debug = false, disp = true, sleep = nothing,
                                        skip = [], only = nothing)
  Plots._debugMode.on = debug
@@ -1,30 +1,34 @@

 # NOTE: (0,0) is the top-left !!!

+# allow pixels and percentages
+const px = AbsoluteLength(0.254)
+const pct = Length{:pct, Float64}(1.0)
+
 to_pixels(m::AbsoluteLength) = m.value / 0.254

 const _cbar_width = 5mm

-Base.broadcast(::typeof(Base.:.*), m::Measure, n::Number) = m * n
-Base.broadcast(::typeof(Base.:.*), m::Number, n::Measure) = m * n
-Base.:-(m::Measure, a::AbstractArray) = map(ai -> m - ai, a)
-Base.:-(a::AbstractArray, m::Measure) = map(ai -> ai - m, a)
+@compat Base.:.*(m::Measure, n::Number) = m * n
+@compat Base.:.*(n::Number, m::Measure) = m * n
+@compat Base.:-(m::Measure, a::AbstractArray) = map(ai -> m - ai, a)
+@compat Base.:-(a::AbstractArray, m::Measure) = map(ai -> ai - m, a)
 Base.zero(::Type{typeof(mm)}) = 0mm
 Base.one(::Type{typeof(mm)}) = 1mm
 Base.typemin(::typeof(mm)) = -Inf*mm
 Base.typemax(::typeof(mm)) = Inf*mm
-Base.convert(::Type{F}, l::AbsoluteLength) where {F<:AbstractFloat} = convert(F, l.value)
+Base.convert{F<:AbstractFloat}(::Type{F}, l::AbsoluteLength) = convert(F, l.value)

 # TODO: these are unintuitive and may cause tricky bugs
-# Base.:+(m1::AbsoluteLength, m2::Length{:pct}) = AbsoluteLength(m1.value * (1 + m2.value))
-# Base.:+(m1::Length{:pct}, m2::AbsoluteLength) = AbsoluteLength(m2.value * (1 + m1.value))
-# Base.:-(m1::AbsoluteLength, m2::Length{:pct}) = AbsoluteLength(m1.value * (1 - m2.value))
-# Base.:-(m1::Length{:pct}, m2::AbsoluteLength) = AbsoluteLength(m2.value * (m1.value - 1))
+# @compat Base.:+(m1::AbsoluteLength, m2::Length{:pct}) = AbsoluteLength(m1.value * (1 + m2.value))
+# @compat Base.:+(m1::Length{:pct}, m2::AbsoluteLength) = AbsoluteLength(m2.value * (1 + m1.value))
+# @compat Base.:-(m1::AbsoluteLength, m2::Length{:pct}) = AbsoluteLength(m1.value * (1 - m2.value))
+# @compat Base.:-(m1::Length{:pct}, m2::AbsoluteLength) = AbsoluteLength(m2.value * (m1.value - 1))

-Base.:*(m1::AbsoluteLength, m2::Length{:pct}) = AbsoluteLength(m1.value * m2.value)
-Base.:*(m1::Length{:pct}, m2::AbsoluteLength) = AbsoluteLength(m2.value * m1.value)
-Base.:/(m1::AbsoluteLength, m2::Length{:pct}) = AbsoluteLength(m1.value / m2.value)
-Base.:/(m1::Length{:pct}, m2::AbsoluteLength) = AbsoluteLength(m2.value / m1.value)
+@compat Base.:*(m1::AbsoluteLength, m2::Length{:pct}) = AbsoluteLength(m1.value * m2.value)
+@compat Base.:*(m1::Length{:pct}, m2::AbsoluteLength) = AbsoluteLength(m2.value * m1.value)
+@compat Base.:/(m1::AbsoluteLength, m2::Length{:pct}) = AbsoluteLength(m1.value / m2.value)
+@compat Base.:/(m1::Length{:pct}, m2::AbsoluteLength) = AbsoluteLength(m2.value / m1.value)


 Base.zero(::Type{typeof(pct)}) = 0pct
@@ -40,11 +44,11 @@ right(bbox::BoundingBox) = left(bbox) + width(bbox)
 bottom(bbox::BoundingBox) = top(bbox) + height(bbox)
 Base.size(bbox::BoundingBox) = (width(bbox), height(bbox))

-# Base.:*{T,N}(m1::Length{T,N}, m2::Length{T,N}) = Length{T,N}(m1.value * m2.value)
+# @compat Base.:*{T,N}(m1::Length{T,N}, m2::Length{T,N}) = Length{T,N}(m1.value * m2.value)
 ispositive(m::Measure) = m.value > 0

 # union together bounding boxes
-function Base.:+(bb1::BoundingBox, bb2::BoundingBox)
+@compat function Base.:+(bb1::BoundingBox, bb2::BoundingBox)
    # empty boxes don't change the union
    ispositive(width(bb1))  || return bb2
    ispositive(height(bb1)) || return bb2
@@ -92,32 +96,6 @@ function Base.show(io::IO, bbox::BoundingBox)
    print(io, "BBox{l,t,r,b,w,h = $(left(bbox)),$(top(bbox)), $(right(bbox)),$(bottom(bbox)), $(width(bbox)),$(height(bbox))}")
 end

-# -----------------------------------------------------------
-
-# points combined by x/y, pct, and length
-mutable struct MixedMeasures
-    xy::Float64
-    pct::Float64
-    len::AbsoluteLength
-end
-
-function resolve_mixed(mix::MixedMeasures, sp::Subplot, letter::Symbol)
-    xy = mix.xy
-    pct = mix.pct
-    if mix.len != 0mm
-        f = (letter == :x ? width : height)
-        totlen = f(plotarea(sp))
-        @show totlen
-        pct += mix.len / totlen
-    end
-    if pct != 0
-        amin, amax = axis_limits(sp[Symbol(letter,:axis)])
-        xy += pct * (amax-amin)
-    end
-    xy
-end
-
-
 # -----------------------------------------------------------
 # AbstractLayout

@@ -129,22 +107,15 @@ make_measure_hor(m::Measure) = m
 make_measure_vert(n::Number) = n * h
 make_measure_vert(m::Measure) = m

-"""
-    bbox(x, y, w, h [,originargs...])
-    bbox(layout)

-Create a bounding box for plotting
-"""
 function bbox(x, y, w, h, oarg1::Symbol, originargs::Symbol...)
    oargs = vcat(oarg1, originargs...)
    orighor = :left
    origver = :top
    for oarg in oargs
-        if oarg == :center
-            orighor = origver = oarg
-        elseif oarg in (:left, :right, :hcenter)
+        if oarg in (:left, :right)
            orighor = oarg
-        elseif oarg in (:top, :bottom, :vcenter)
+        elseif oarg in (:top, :bottom)
            origver = oarg
        else
            warn("Unused origin arg in bbox construction: $oarg")
@@ -161,17 +132,13 @@ function bbox(x, y, width, height; h_anchor = :left, v_anchor = :top)
    height = make_measure_vert(height)
    left = if h_anchor == :left
        x
-    elseif h_anchor in (:center, :hcenter)
-        0.5w - 0.5width + x
    else
-        1w - x - width
+        1w - x - width 
    end
    top = if v_anchor == :top
        y
-    elseif v_anchor in (:center, :vcenter)
-        0.5h - 0.5height + y
    else
-        1h - y - height
+        1h - y - height 
    end
    BoundingBox(left, top, width, height)
 end
@@ -216,7 +183,7 @@ bottompad(layout::AbstractLayout) = 0mm
 # RootLayout

 # this is the parent of the top-level layout
-struct RootLayout <: AbstractLayout end
+immutable RootLayout <: AbstractLayout end

 Base.parent(::RootLayout) = nothing
 parent_bbox(::RootLayout) = defaultbox
@@ -226,7 +193,7 @@ bbox(::RootLayout) = defaultbox
 # EmptyLayout

 # contains blank space
-mutable struct EmptyLayout <: AbstractLayout
+type EmptyLayout <: AbstractLayout
    parent::AbstractLayout
    bbox::BoundingBox
    attr::KW  # store label, width, and height for initialization
@@ -244,7 +211,7 @@ _update_min_padding!(layout::EmptyLayout) = nothing
 # GridLayout

 # nested, gridded layout with optional size percentages
-mutable struct GridLayout <: AbstractLayout
+type GridLayout <: AbstractLayout
    parent::AbstractLayout
    minpad::Tuple # leftpad, toppad, rightpad, bottompad
    bbox::BoundingBox
@@ -254,13 +221,6 @@ mutable struct GridLayout <: AbstractLayout
    attr::KW
 end

-"""
-    grid(args...; kw...)
-
-Create a grid layout for subplots. `args` specify the dimensions, e.g.
-`grid(3,2, widths = (0.6,04))` creates a grid with three rows and two
-columns of different width.
-"""
 grid(args...; kw...) = GridLayout(args...; kw...)

 function GridLayout(dims...;
@@ -279,9 +239,7 @@ function GridLayout(dims...;
        # convert(Vector{Float64}, widths),
        # convert(Vector{Float64}, heights),
        KW(kw))
-    for i in eachindex(grid)
-        grid[i] = EmptyLayout(layout)
-    end
+    fill!(grid, EmptyLayout(layout))
    layout
 end

@@ -298,7 +256,7 @@ rightpad(layout::GridLayout)  = layout.minpad[3]
 bottompad(layout::GridLayout) = layout.minpad[4]


-# here's how this works... first we recursively "update the minimum padding" (which
+# here's how this works... first we recursively "update the minimum padding" (which 
 # means to calculate the minimum size needed from the edge of the subplot to plot area)
 # for the whole layout tree.  then we can compute the "padding borders" of this
 # layout as the biggest padding of the children on the perimeter.  then we need to
@@ -353,6 +311,7 @@ function update_child_bboxes!(layout::GridLayout, minimum_perimeter = [0mm,0mm,0
    minpad_top    = map(toppad,    layout.grid)
    minpad_right  = map(rightpad,  layout.grid)
    minpad_bottom = map(bottompad, layout.grid)
+    # @show minpad_left minpad_top minpad_right minpad_bottom

    # get the max horizontal (left and right) padding over columns,
    # and max vertical (bottom and top) padding over rows
@@ -361,6 +320,7 @@ function update_child_bboxes!(layout::GridLayout, minimum_perimeter = [0mm,0mm,0
    pad_top    = maximum(minpad_top,    2)
    pad_right  = maximum(minpad_right,  1)
    pad_bottom = maximum(minpad_bottom, 2)
+    # @show pad_left pad_top pad_right pad_bottom

    # make sure the perimeter match the parent
    pad_left[1]     = max(pad_left[1], minimum_perimeter[1])
@@ -371,18 +331,22 @@ function update_child_bboxes!(layout::GridLayout, minimum_perimeter = [0mm,0mm,0
    # scale this up to the total padding in each direction
    total_pad_horizontal = sum(pad_left + pad_right)
    total_pad_vertical   = sum(pad_top + pad_bottom)
+    # @show total_pad_horizontal total_pad_vertical

    # now we can compute the total plot area in each direction
    total_plotarea_horizontal = width(layout)  - total_pad_horizontal
    total_plotarea_vertical   = height(layout) - total_pad_vertical
+    # @show total_plotarea_horizontal total_plotarea_vertical

    # recompute widths/heights
    layout.widths = recompute_lengths(layout.widths)
    layout.heights = recompute_lengths(layout.heights)
+    # @show layout.widths layout.heights

    # normalize widths/heights so they sum to 1
    # denom_w = sum(layout.widths)
    # denom_h = sum(layout.heights)
+    # @show layout.widths layout.heights denom_w, denom_h

    # we have all the data we need... lets compute the plot areas and set the bounding boxes
    for r=1:nr, c=1:nc
@@ -423,6 +387,7 @@ end
 function update_inset_bboxes!(plt::Plot)
    for sp in plt.inset_subplots
        p_area = Measures.resolve(plotarea(sp.parent), sp[:relative_bbox])
+        # @show bbox(sp.parent) sp[:relative_bbox] p_area
        plotarea!(sp, p_area)

        bbox!(sp, bbox(
@@ -471,7 +436,7 @@ end
 function layout_args(d::KW, n_override::Integer)
    layout, n = layout_args(get(d, :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.")
+        error("When doing layout, n != n_override.  You're probably trying to force existing plots into a layout that doesn't fit them.")
    end
    layout, n
 end
@@ -481,12 +446,12 @@ function layout_args(n::Integer)
    GridLayout(nr, nc), n
 end

-function layout_args(sztup::NTuple{2,I}) where I<:Integer
+function layout_args{I<:Integer}(sztup::NTuple{2,I})
    nr, nc = sztup
    GridLayout(nr, nc), nr*nc
 end

-function layout_args(sztup::NTuple{3,I}) where I<:Integer
+function layout_args{I<:Integer}(sztup::NTuple{3,I})
    n, nr, nc = sztup
    nr, nc = compute_gridsize(n, nr, nc)
    GridLayout(nr, nc), n
@@ -537,12 +502,6 @@ function build_layout(layout::GridLayout, n::Integer)
            i += 1
        elseif isa(l, GridLayout)
            # sub-grid
-            if get(l.attr, :width, :auto) != :auto
-                layout.widths[c] = attr(l,:width)
-            end
-            if get(l.attr, :height, :auto) != :auto
-                layout.heights[r] = attr(l,:height)
-            end
            l, sps, m = build_layout(l, n-i)
            append!(subplots, sps)
            merge!(spmap, m)
@@ -579,12 +538,6 @@ function build_layout(layout::GridLayout, numsp::Integer, plts::AVec{Plot})
            i += length(plt.subplots)
        elseif isa(l, GridLayout)
            # sub-grid
-            if get(l.attr, :width, :auto) != :auto
-                layout.widths[c] = attr(l,:width)
-            end
-            if get(l.attr, :height, :auto) != :auto
-                layout.heights[r] = attr(l,:height)
-            end
            l, sps, m = build_layout(l, numsp-i, plts)
            append!(subplots, sps)
            merge!(spmap, m)
@@ -644,7 +597,7 @@ function create_grid(expr::Expr)
        create_grid_curly(expr)
    else
        # if it's something else, just return that (might be an existing layout?)
-        esc(expr)
+        expr
    end
 end

@@ -681,18 +634,13 @@ function create_grid_vcat(expr::Expr)
 end

 function create_grid_curly(expr::Expr)
+    s = expr.args[1]
    kw = KW()
    for (i,arg) in enumerate(expr.args[2:end])
        add_layout_pct!(kw, arg, i, length(expr.args)-1)
    end
-    s = expr.args[1]
-    if isa(s, Expr) && s.head == :call && s.args[1] == :grid
-        create_grid(:(grid($(s.args[2:end]...), width = $(get(kw, :w, QuoteNode(:auto))), height = $(get(kw, :h, QuoteNode(:auto))))))
-    elseif isa(s, Symbol)
-        :(EmptyLayout(label = $(QuoteNode(s)), width = $(get(kw, :w, QuoteNode(:auto))), height = $(get(kw, :h, QuoteNode(:auto)))))
-    else
-        error("Unknown use of curly brackets: $expr")
-    end
+    # @show kw
+    :(EmptyLayout(label = $(QuoteNode(s)), width = $(get(kw, :w, QuoteNode(:auto))), height = $(get(kw, :h, QuoteNode(:auto)))))
 end

 function create_grid(s::Symbol)
@@ -706,42 +654,20 @@ end

 # -------------------------------------------------------------------------

-# make all reference the same axis extrema/values.
-# merge subplot lists.
+# make all reference the same axis extrema/values
 function link_axes!(axes::Axis...)
    a1 = axes[1]
    for i=2:length(axes)
        a2 = axes[i]
-        expand_extrema!(a1, ignorenan_extrema(a2))
        for k in (:extrema, :discrete_values, :continuous_values, :discrete_map)
            a2[k] = a1[k]
        end
-
-        # make a2's subplot list refer to a1's and add any missing values
-        sps2 = a2.sps
-        for sp in sps2
-            sp in a1.sps || push!(a1.sps, sp)
-        end
-        a2.sps = a1.sps
    end
 end

-# figure out which subplots to link
-function link_subplots(a::AbstractArray{AbstractLayout}, axissym::Symbol)
-    subplots = []
-    for l in a
-        if isa(l, Subplot)
-            push!(subplots, l)
-        elseif isa(l, GridLayout) && size(l) == (1,1)
-            push!(subplots, l[1,1])
-        end
-    end
-    subplots
-end
-
 # for some vector or matrix of layouts, filter only the Subplots and link those axes
 function link_axes!(a::AbstractArray{AbstractLayout}, axissym::Symbol)
-    subplots = link_subplots(a, axissym)
+    subplots = filter(l -> isa(l, Subplot), a)
    axes = [sp.attr[axissym] for sp in subplots]
    if length(axes) > 0
        link_axes!(axes...)
@@ -783,18 +709,3 @@ function link_axes!(layout::GridLayout, link::Symbol)
        link_axes!(l, link)
    end
 end
-
-# -------------------------------------------------------------------------
-
-"Adds a new, empty subplot overlayed on top of `sp`, with a mirrored y-axis and linked x-axis."
-function twinx(sp::Subplot)
-    sp[:right_margin] = max(sp[:right_margin], 30px)
-    plot!(sp.plt, inset = (sp[:subplot_index], bbox(0,0,1,1)))
-    twinsp = sp.plt.subplots[end]
-    twinsp[:yaxis][:mirror] = true
-    twinsp[:background_color_inside] = RGBA{Float64}(0,0,0,0)
-    link_axes!(sp[:xaxis], twinsp[:xaxis])
-    twinsp
-end
-
-twinx(plt::Plot = current()) = twinx(plt[1])
@@ -5,7 +5,7 @@ defaultOutputFormat(plt::Plot) = "png"
 function png(plt::Plot, fn::AbstractString)
  fn = addExtension(fn, "png")
  io = open(fn, "w")
-  show(io, MIME("image/png"), plt)
+  writemime(io, MIME("image/png"), plt)
  close(io)
 end
 png(fn::AbstractString) = png(current(), fn)
@@ -13,7 +13,7 @@ png(fn::AbstractString) = png(current(), fn)
 function svg(plt::Plot, fn::AbstractString)
  fn = addExtension(fn, "svg")
  io = open(fn, "w")
-  show(io, MIME("image/svg+xml"), plt)
+  writemime(io, MIME("image/svg+xml"), plt)
  close(io)
 end
 svg(fn::AbstractString) = svg(current(), fn)
@@ -22,7 +22,7 @@ svg(fn::AbstractString) = svg(current(), fn)
 function pdf(plt::Plot, fn::AbstractString)
  fn = addExtension(fn, "pdf")
  io = open(fn, "w")
-  show(io, MIME("application/pdf"), plt)
+  writemime(io, MIME("application/pdf"), plt)
  close(io)
 end
 pdf(fn::AbstractString) = pdf(current(), fn)
@@ -31,49 +31,30 @@ pdf(fn::AbstractString) = pdf(current(), fn)
 function ps(plt::Plot, fn::AbstractString)
  fn = addExtension(fn, "ps")
  io = open(fn, "w")
-  show(io, MIME("application/postscript"), plt)
+  writemime(io, MIME("application/postscript"), plt)
  close(io)
 end
 ps(fn::AbstractString) = ps(current(), fn)

-function eps(plt::Plot, fn::AbstractString)
-  fn = addExtension(fn, "eps")
-  io = open(fn, "w")
-  show(io, MIME("image/eps"), plt)
-  close(io)
-end
-eps(fn::AbstractString) = eps(current(), fn)

 function tex(plt::Plot, fn::AbstractString)
  fn = addExtension(fn, "tex")
  io = open(fn, "w")
-  show(io, MIME("application/x-tex"), plt)
+  writemime(io, MIME("application/x-tex"), plt)
  close(io)
 end
 tex(fn::AbstractString) = tex(current(), fn)

-function html(plt::Plot, fn::AbstractString)
-    fn = addExtension(fn, "html")
-    io = open(fn, "w")
-    _use_remote[] = true
-    show(io, MIME("text/html"), plt)
-    _use_remote[] = false
-    close(io)
-end
-html(fn::AbstractString) = html(current(), fn)
-

 # ----------------------------------------------------------------


-const _savemap = Dict(
+@compat const _savemap = Dict(
    "png" => png,
    "svg" => svg,
    "pdf" => pdf,
    "ps"  => ps,
-    "eps" => eps,
    "tex" => tex,
-    "html" => html,
  )

 function getExtension(fn::AbstractString)
@@ -97,13 +78,6 @@ function addExtension(fn::AbstractString, ext::AbstractString)
  end
 end

-"""
-    savefig([plot,] filename)
-
-Save a Plot (the current plot if `plot` is not passed) to file. The file
-type is inferred from the file extension. All backends support png and pdf
-file types, some also support svg, ps, eps, html and tex.
-"""
 function savefig(plt::Plot, fn::AbstractString)

  # get the extension
@@ -126,20 +100,9 @@ savefig(fn::AbstractString) = savefig(current(), fn)


 # ---------------------------------------------------------
-"""
-    gui([plot])

-Display a plot using the backends' gui window
-"""
 gui(plt::Plot = current()) = display(PlotsDisplay(), plt)

-# IJulia only... inline display
-function inline(plt::Plot = current())
-    isijulia() || error("inline() is IJulia-only")
-    Main.IJulia.clear_output(true)
-    display(Main.IJulia.InlineDisplay(), plt)
-end
-
 function Base.display(::PlotsDisplay, plt::Plot)
    prepare_output(plt)
    _display(plt)
@@ -148,75 +111,64 @@ end
 # override the REPL display to open a gui window
 Base.display(::Base.REPL.REPLDisplay, ::MIME"text/plain", plt::Plot) = gui(plt)

-
-_do_plot_show(plt, showval::Bool) = showval && gui(plt)
-function _do_plot_show(plt, showval::Symbol)
-    showval == :gui && gui(plt)
-    showval in (:inline,:ijulia) && inline(plt)
-end
-
 # ---------------------------------------------------------

+const _mimeformats = Dict(
+    "application/eps"         => "eps",
+    "image/eps"               => "eps",
+    "application/pdf"         => "pdf",
+    "image/png"               => "png",
+    "application/postscript"  => "ps",
+    "image/svg+xml"           => "svg",
+    "text/plain"              => "txt",
+)
+
 const _best_html_output_type = KW(
    :pyplot => :png,
    :unicodeplots => :txt,
-    :glvisualize => :png,
-    :plotlyjs => :html,
-    :plotly => :html
 )

 # a backup for html... passes to svg or png depending on the html_output_format arg
-function _show(io::IO, ::MIME"text/html", plt::Plot)
+function Base.writemime(io::IO, ::MIME"text/html", plt::Plot)
    output_type = Symbol(plt.attr[:html_output_format])
    if output_type == :auto
        output_type = get(_best_html_output_type, backend_name(plt.backend), :svg)
    end
    if output_type == :png
        # info("writing png to html output")
-        print(io, "<img src=\"data:image/png;base64,", base64encode(show, MIME("image/png"), plt), "\" />")
+        print(io, "<img src=\"data:image/png;base64,", base64encode(writemime, MIME("image/png"), plt), "\" />")
    elseif output_type == :svg
        # info("writing svg to html output")
-        show(io, MIME("image/svg+xml"), plt)
+        writemime(io, MIME("image/svg+xml"), plt)
    elseif output_type == :txt
-        show(io, MIME("text/plain"), plt)
+        writemime(io, MIME("text/plain"), plt)
    else
-        error("only png or svg allowed. got: $(repr(output_type))")
+        error("only png or svg allowed. got: $output_type")
    end
 end

-# delegate mimewritable (showable on julia 0.7) to _show instead
-function Base.mimewritable(m::M, plt::P) where {M<:MIME, P<:Plot}
-    return method_exists(_show, Tuple{IO, M, P})
+function _writemime(io::IO, m, plt::Plot)
+    warn("_writemime is not defined for this backend. m=", string(m))
 end
-
 function _display(plt::Plot)
    warn("_display is not defined for this backend.")
 end

 # for writing to io streams... first prepare, then callback
-for mime in ("text/plain", "text/html", "image/png", "image/eps", "image/svg+xml",
-             "application/eps", "application/pdf", "application/postscript",
-             "application/x-tex")
-    @eval function Base.show(io::IO, m::MIME{Symbol($mime)}, plt::Plot)
+for mime in keys(_mimeformats)
+    @eval function Base.writemime(io::IO, m::MIME{Symbol($mime)}, plt::Plot)
        prepare_output(plt)
-        _show(io, m, plt)
+        _writemime(io, m, plt)
    end
 end

-# default text/plain for all backends
-_show(io::IO, ::MIME{Symbol("text/plain")}, plt::Plot) = show(io, plt)
-
-"Close all open gui windows of the current backend"
-closeall() = closeall(backend())
-

 # ---------------------------------------------------------
 # A backup, if no PNG generation is defined, is to try to make a PDF and use FileIO to convert

-const PDFBackends = Union{PGFPlotsBackend,PlotlyJSBackend,PyPlotBackend,InspectDRBackend,GRBackend}
 if is_installed("FileIO")
    @eval import FileIO
-    function _show(io::IO, ::MIME"image/png", plt::Plot{<:PDFBackends})
+    function _writemime(io::IO, ::MIME"image/png", plt::Plot)
        fn = tempname()

        # first save a pdf file
@@ -230,18 +182,22 @@ if is_installed("FileIO")
        FileIO.save(pngfn, s)

        # now write from the file
-        write(io, readstring(open(pngfn)))
+        write(io, readall(open(pngfn)))
    end
 end

+
+
+
+
 # function html_output_format(fmt)
 #     if fmt == "png"
-#         @eval function Base.show(io::IO, ::MIME"text/html", plt::Plot)
-#             print(io, "<img src=\"data:image/png;base64,", base64(show, MIME("image/png"), plt), "\" />")
+#         @eval function Base.writemime(io::IO, ::MIME"text/html", plt::Plot)
+#             print(io, "<img src=\"data:image/png;base64,", base64(writemime, MIME("image/png"), plt), "\" />")
 #         end
 #     elseif fmt == "svg"
-#         @eval function Base.show(io::IO, ::MIME"text/html", plt::Plot)
-#             show(io, MIME("image/svg+xml"), plt)
+#         @eval function Base.writemime(io::IO, ::MIME"text/html", plt::Plot)
+#             writemime(io, MIME("image/svg+xml"), plt)
 #         end
 #     else
 #         error("only png or svg allowed. got: $fmt")
@@ -254,108 +210,67 @@ end
 # IJulia
 # ---------------------------------------------------------

-@require IJulia begin
-    if IJulia.inited
+const _ijulia_output = Compat.ASCIIString["text/html"]

-        """
-        Add extra jupyter mimetypes to display_dict based on the plot backed.
-
-        The default is nothing, except for plotly based backends, where it
-        adds data for `application/vnd.plotly.v1+json` that is used in
-        frontends like jupyterlab and nteract.
-        """
-        _extra_mime_info!(plt::Plot, out::Dict) = out
-        function _extra_mime_info!(plt::Plot{PlotlyJSBackend}, out::Dict)
-            out["application/vnd.plotly.v1+json"] = JSON.lower(plt.o)
-            out
-        end
-
-        function _extra_mime_info!(plt::Plot{PlotlyBackend}, out::Dict)
-            out["application/vnd.plotly.v1+json"] = Dict(
-                :data => plotly_series(plt),
-                :layout => plotly_layout(plt)
-            )
-            out
-        end
-
-        function IJulia.display_dict(plt::Plot)
-            output_type = Symbol(plt.attr[:html_output_format])
-            if output_type == :auto
-                output_type = get(_best_html_output_type, backend_name(plt.backend), :svg)
+function setup_ijulia()
+    # override IJulia inline display
+    if isijulia()
+        @eval begin
+            import IJulia
+            export set_ijulia_output
+            function set_ijulia_output(mimestr::AbstractString)
+                # info("Setting IJulia output format to $mimestr")
+                global _ijulia_output
+                _ijulia_output[1] = mimestr
            end
-            out = Dict()
-            if output_type == :txt
-                mime = "text/plain"
-                out[mime] = sprint(show, MIME(mime), plt)
-            elseif output_type == :png
-                mime = "image/png"
-                out[mime] = base64encode(show, MIME(mime), plt)
-            elseif output_type == :svg
-                mime = "image/svg+xml"
-                out[mime] = sprint(show, MIME(mime), plt)
-            elseif output_type == :html
-                mime = "text/html"
-                out[mime] = sprint(show, MIME(mime), plt)
-            else
-                error("Unsupported output type $output_type")
+            function IJulia.display_dict(plt::Plot)
+                global _ijulia_output
+                Dict{Compat.ASCIIString, ByteString}(_ijulia_output[1] => sprint(writemime, _ijulia_output[1], plt))
            end
-            _extra_mime_info!(plt, out)
-            out
-        end

-        ENV["MPLBACKEND"] = "Agg"
+            # default text/plain passes to html... handles Interact issues
+            function Base.writemime(io::IO, m::MIME"text/plain", plt::Plot)
+                writemime(io, MIME("text/html"), plt)
+            end
+        end
+        set_ijulia_output("text/html")
    end
 end

 # ---------------------------------------------------------
 # Atom PlotPane
 # ---------------------------------------------------------
-@require Juno begin
-    import Hiccup, Media

-    if Juno.isactive()
-        Media.media(Plot, Media.Plot)
+function setup_atom()
+    # @require Atom begin
+    if isatom() && get(ENV, "PLOTS_USE_ATOM_PLOTPANE", false) in (true, 1, "1", "true", "yes")
+        # @eval import Atom, Media
+        @eval import Atom

-        function Juno.render(e::Juno.Editor, plt::Plot)
-            Juno.render(e, nothing)
+        # # connects the render function
+        # for T in (GadflyBackend,ImmerseBackend,PyPlotBackend,GRBackend)
+        #     Atom.Media.media(Plot{T}, Atom.Media.Plot)
+        # end
+        Atom.Media.media(Plot, Atom.Media.Graphical)
+        # Atom.Media.media{T <: Union{GadflyBackend,ImmerseBackend,PyPlotBackend,GRBackend}}(Plot{T}, Atom.Media.Plot)
+
+        # Atom.displaysize(::Plot) = (535, 379)
+        # Atom.displaytitle(plt::Plot) = "Plots.jl (backend: $(backend(plt)))"
+
+        # this is like "display"... sends an html div with the plot to the PlotPane
+        function Atom.Media.render(pane::Atom.PlotPane, plt::Plot)
+            @show "here"
+            Atom.Media.render(pane, Atom.div(Atom.d(), Atom.HTML(stringmime(MIME("text/html"), plt))))
        end

-        if get(ENV, "PLOTS_USE_ATOM_PLOTPANE", true) in (true, 1, "1", "true", "yes")
-            function Juno.render(pane::Juno.PlotPane, plt::Plot)
-                # temporarily overwrite size to be Atom.plotsize
-                sz = plt[:size]
-                dpi = plt[:dpi]
-                thickness_scaling = plt[:thickness_scaling]
-                jsize = Juno.plotsize()
-                jsize[1] == 0 && (jsize[1] = 400)
-                jsize[2] == 0 && (jsize[2] = 500)
+        # # force text/plain to output to the PlotPane
+        # function Base.writemime(io::IO, ::MIME"text/plain", plt::Plot)
+        #     # writemime(io::IO, MIME("text/html"), plt)
+        #     Atom.Media.render(pane)
+        # end

-                scale = minimum(jsize[i] / sz[i] for i in 1:2)
-                plt[:size] = (s * scale for s in sz)
-                plt[:dpi] = Plots.DPI
-                plt[:thickness_scaling] *= scale
-                Juno.render(pane, HTML(stringmime(MIME("text/html"), plt)))
-                plt[:size] = sz
-                plt[:dpi] = dpi
-                plt[:thickness_scaling] = thickness_scaling
-            end
-            # special handling for PlotlyJS
-            function Juno.render(pane::Juno.PlotPane, plt::Plot{PlotlyJSBackend})
-                display(Plots.PlotsDisplay(), plt)
-            end
-        else
-            function Juno.render(pane::Juno.PlotPane, plt::Plot)
-                display(Plots.PlotsDisplay(), plt)
-                s = "PlotPane turned off.  Unset ENV[\"PLOTS_USE_ATOM_PLOTPANE\"] and restart Julia to enable it."
-                Juno.render(pane, HTML(s))
-            end
-        end
-
-        # special handling for plotly... use PlotsDisplay
-        function Juno.render(pane::Juno.PlotPane, plt::Plot{PlotlyBackend})
-            display(Plots.PlotsDisplay(), plt)
-            s = "PlotPane turned off.  The plotly backend cannot render in the PlotPane due to javascript issues. Plotlyjs is similar to plotly and is compatible with the plot pane."
-            Juno.render(pane, HTML(s))
-        end
+        # function Atom.Media.render(pane::Atom.PlotPane, plt::Plot{PlotlyBackend})
+        #     html = Media.render(pane, Atom.div(Atom.d(), Atom.HTML(stringmime(MIME("text/html"), plt))))
+        # end
    end
 end
@@ -13,7 +13,7 @@ function _expand_seriestype_array(d::KW, args)
        delete!(d, :seriestype)
        RecipeData[begin
            dc = copy(d)
-            dc[:seriestype] = sts[r:r,:]
+            dc[:seriestype] = sts[r,:]
            RecipeData(dc, args)
        end for r=1:size(sts,1)]
    else
@@ -60,26 +60,29 @@ function _process_userrecipes(plt::Plot, d::KW, args)
    args = _preprocess_args(d, 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.
+    # we are keeping a queue 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.
+    # finished (no more args) get added to the kw_list, and the rest go into the queue
+    # for processing.
    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.
+        # grab the first in line to be processed and pass it through apply_recipe
+        # to generate a list of RecipeData objects (data + attributes)
        next_series = shift!(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.d, next_series.args...)
-            prepend!(still_to_process,rd_list)
+        rd_list = RecipesBase.apply_recipe(next_series.d, next_series.args...)
+        for recipedata in rd_list
+            # recipedata should be of type RecipeData.  if it's not then the inputs must not have been fully processed by recipes
+            if !(typeof(recipedata) <: RecipeData)
+                error("Inputs couldn't be processed... expected RecipeData but got: $recipedata")
+            end
+
+            if isempty(recipedata.args)
+                _process_userrecipe(plt, kw_list, recipedata)
+            else
+                # args are non-empty, so there's still processing to do... add it back to the queue
+                push!(still_to_process, recipedata)
+            end
        end
    end

@@ -92,7 +95,6 @@ function _process_userrecipe(plt::Plot, kw_list::Vector{KW}, recipedata::RecipeD
    # when the arg tuple is empty, that means there's nothing left to recursively
    # process... finish up and add to the kw_list
    kw = recipedata.d
-    preprocessArgs!(kw)
    _preprocess_userrecipe(kw)
    warnOnUnsupported_scales(plt.backend, kw)

@@ -150,7 +152,7 @@ function _add_smooth_kw(kw_list::Vector{KW}, kw::KW)
    if get(kw, :smooth, false)
        x, y = kw[:x], kw[:y]
        β, α = convert(Matrix{Float64}, [x ones(length(x))]) \ convert(Vector{Float64}, y)
-        sx = [ignorenan_minimum(x), ignorenan_maximum(x)]
+        sx = [minimum(x), maximum(x)]
        sy = β * sx + α
        push!(kw_list, merge(copy(kw), KW(
            :seriestype => :path,
@@ -181,7 +183,6 @@ function _process_plotrecipe(plt::Plot, kw::KW, kw_list::Vector{KW}, still_to_pr
        st = kw[:seriestype] = get(_typeAliases, st, st)
        datalist = RecipesBase.apply_recipe(kw, Val{st}, plt)
        for data in datalist
-            preprocessArgs!(data.d)
            if data.d[:seriestype] == st
                error("Plot recipe $st returned the same seriestype: $(data.d)")
            end
@@ -210,7 +211,7 @@ function _plot_setup(plt::Plot, d::KW, kw_list::Vector{KW})
    # TODO: init subplots here
    _update_plot_args(plt, d)
    if !plt.init
-        plt.o = Base.invokelatest(_create_backend_figure, plt)
+        plt.o = _create_backend_figure(plt)

        # create the layout and subplots from the inputs
        plt.layout, plt.subplots, plt.spmap = build_layout(plt.attr)
@@ -241,13 +242,12 @@ function _plot_setup(plt::Plot, d::KW, kw_list::Vector{KW})
            end
            sp = Subplot(backend(), parent=parent)
            sp.plt = plt
-            push!(plt.subplots, sp)
-            push!(plt.inset_subplots, sp)
            sp.attr[:relative_bbox] = bb
            sp.attr[:subplot_index] = length(plt.subplots)
+            push!(plt.subplots, sp)
+            push!(plt.inset_subplots, sp)
        end
    end
-    plt[:inset_subplots] = nothing
 end

 function _subplot_setup(plt::Plot, d::KW, kw_list::Vector{KW})
@@ -259,12 +259,12 @@ function _subplot_setup(plt::Plot, d::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], command_idx(kw_list,kw)))
        kw[:subplot] = sp

        # extract subplot/axis attributes from kw and add to sp_attr
        attr = KW()
-        for (k,v) in collect(kw)
+        for (k,v) in kw
            if haskey(_subplot_defaults, k) || haskey(_axis_defaults_byletter, k)
                attr[k] = pop!(kw, k)
            end
@@ -274,24 +274,13 @@ function _subplot_setup(plt::Plot, d::KW, kw_list::Vector{KW})
                    attr[Symbol(letter,k)] = v
                end
            end
-            for k in (:scale,), letter in (:x,:y,:z)
-                # Series recipes may need access to this information
-                lk = Symbol(letter,k)
-                if haskey(attr, lk)
-                    kw[lk] = attr[lk]
-                end
-            end
        end
        sp_attrs[sp] = attr
    end

    # override subplot/axis args.  `sp_attrs` take precendence
    for (idx,sp) in enumerate(plt.subplots)
-        attr = if !haskey(d, :subplot) || d[:subplot] == idx
-            merge(d, get(sp_attrs, sp, KW()))
-        else
-            get(sp_attrs, sp, KW())
-        end
+        attr = merge(d, get(sp_attrs, sp, KW()))
        _update_subplot_args(plt, sp, attr, idx, false)
    end

@@ -301,7 +290,7 @@ 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}, d::KW) where T
+function _prepare_subplot{T}(plt::Plot{T}, d::KW)
    st::Symbol = d[:seriestype]
    sp::Subplot{T} = d[:subplot]
    sp_idx = get_subplot_index(plt, sp)
@@ -327,7 +316,7 @@ end

 function _override_seriestype_check(d::KW, st::Symbol)
    # do we want to override the series type?
-    if !is3d(st) && !(st in (:contour,:contour3d))
+    if !is3d(st)
        z = d[:z]
        if !isa(z, Void) && (size(d[:x]) == size(d[:y]) == size(z))
            st = (st == :scatter ? :scatter3d : :path3d)
@@ -341,41 +330,33 @@ function _prepare_annotations(sp::Subplot, d::KW)
    # strip out series annotations (those which are based on series x/y coords)
    # and add them to the subplot attr
    sp_anns = annotations(sp[:annotations])
-    # series_anns = annotations(pop!(d, :series_annotations, []))
-    # if isa(series_anns, SeriesAnnotations)
-    #     series_anns.x = d[:x]
-    #     series_anns.y = d[:y]
-    # elseif length(series_anns) > 0
-    #     x, y = d[:x], d[:y]
-    #     nx, ny, na = map(length, (x,y,series_anns))
-    #     n = max(nx, ny, na)
-    #     series_anns = [(x[mod1(i,nx)], y[mod1(i,ny)], text(series_anns[mod1(i,na)])) for i=1:n]
-    # end
-    # sp.attr[:annotations] = vcat(sp_anns, series_anns)
+    anns = annotations(pop!(d, :series_annotations, []))
+    if length(anns) > 0
+        x, y = d[:x], d[:y]
+        nx, ny, na = map(length, (x,y,anns))
+        n = max(nx, ny, na)
+        anns = [(x[mod1(i,nx)], y[mod1(i,ny)], text(anns[mod1(i,na)])) for i=1:n]
+    end
+    sp.attr[:annotations] = vcat(sp_anns, anns)
 end

 function _expand_subplot_extrema(sp::Subplot, d::KW, st::Symbol)
    # adjust extrema and discrete info
    if st == :image
-        xmin, xmax = ignorenan_extrema(d[:x]); ymin, ymax = ignorenan_extrema(d[:y])
-        expand_extrema!(sp[:xaxis], (xmin, xmax))
-        expand_extrema!(sp[:yaxis], (ymin, ymax))
-    elseif !(st in (:pie, :histogram, :bins2d, :histogram2d))
+        w, h = size(d[:z])
+        expand_extrema!(sp[:xaxis], (0,w))
+        expand_extrema!(sp[:yaxis], (0,h))
+        sp[:yaxis].d[:flip] = true
+    elseif !(st in (:pie, :histogram, :histogram2d))
        expand_extrema!(sp, d)
    end
-    # expand for zerolines (axes through origin)
-    if sp[:framestyle] in (:origin, :zerolines)
-        expand_extrema!(sp[:xaxis], 0.0)
-        expand_extrema!(sp[:yaxis], 0.0)
-    end
 end

-function _add_the_series(plt, sp, d)
+function _add_the_series(plt, d)
    warnOnUnsupported_args(plt.backend, d)
    warnOnUnsupported(plt.backend, d)
    series = Series(d)
    push!(plt.series_list, series)
-    push!(sp.series_list, series)
    _series_added(plt, series)
 end

@@ -394,12 +375,11 @@ function _process_seriesrecipe(plt::Plot, d::KW)
    end

    # if it's natively supported, finalize processing and pass along to the backend, otherwise recurse
-    if is_seriestype_supported(st)
+    if st in supported_types()
        sp = _prepare_subplot(plt, d)
        _prepare_annotations(sp, d)
        _expand_subplot_extrema(sp, d, st)
-        _update_series_attributes!(d, plt, sp)
-        _add_the_series(plt, sp, d)
+        _add_the_series(plt, d)

    else
        # get a sub list of series for this seriestype
@@ -408,10 +388,6 @@ function _process_seriesrecipe(plt::Plot, d::KW)
        # assuming there was no error, recursively apply the series recipes
        for data in datalist
            if isa(data, RecipeData)
-                preprocessArgs!(data.d)
-                if data.d[:seriestype] == st
-                    error("The seriestype didn't change in series recipe $st.  This will cause a StackOverflow.")
-                end
                _process_seriesrecipe(plt, data.d)
            else
                warn("Unhandled recipe: $(data)")
@@ -1,15 +1,11 @@

-mutable struct CurrentPlot
+type CurrentPlot
    nullableplot::Nullable{AbstractPlot}
 end
 const CURRENT_PLOT = CurrentPlot(Nullable{AbstractPlot}())

 isplotnull() = isnull(CURRENT_PLOT.nullableplot)

-"""
-    current()
-Returns the Plot object for the current plot
-"""
 function current()
    if isplotnull()
        error("No current plot/subplot")
@@ -33,7 +29,7 @@ convertSeriesIndex(plt::Plot, n::Int) = n


 """
-The main plot command. Use `plot` to create a new plot object, and `plot!` to add to an existing one:
+The main plot command.  Use `plot` to create a new plot object, and `plot!` to add to an existing one:

 ```
    plot(args...; kw...)                  # creates a new plot window, and sets it to be the current
@@ -42,9 +38,7 @@ The main plot command. Use `plot` to create a new plot object, and `plot!` to ad
 ```

 There are lots of ways to pass in data, and lots of keyword arguments... just try it and it will likely work as expected.
-When you pass in matrices, it splits by columns. To see the list of available attributes, use the `plotattr([attr])`
-function, where `attr` is the symbol `:Series:`, `:Subplot:`, `:Plot` or `:Axis`. Pass any attribute to `plotattr`
-as a String to look up its docstring; e.g. `plotattr("seriestype")`.
+When you pass in matrices, it splits by columns.  See the documentation for more info.
 """

 # this creates a new plot with args/kw and sets it to be the current plot
@@ -66,7 +60,7 @@ function plot(plt1::Plot, plts_tail::Plot...; kw...)

    # build our plot vector from the args
    n = length(plts_tail) + 1
-    plts = Array{Plot}(n)
+    plts = Array(Plot, n)
    plts[1] = plt1
    for (i,plt) in enumerate(plts_tail)
        plts[i+1] = plt
@@ -86,7 +80,7 @@ function plot(plt1::Plot, plts_tail::Plot...; kw...)
    # TODO: replace this with proper processing from a merged user_attr KW
    # update plot args, first with existing plots, then override with d
    for p in plts
-        _update_plot_args(plt, copy(p.attr))
+        _update_plot_args(plt, p.attr)
        plt.n += p.n
    end
    _update_plot_args(plt, d)
@@ -95,21 +89,8 @@ function plot(plt1::Plot, plts_tail::Plot...; kw...)
    plt.o = _create_backend_figure(plt)
    plt.init = true

-    series_attr = KW()
-    for (k,v) in d
-        if haskey(_series_defaults, k)
-            series_attr[k] = pop!(d,k)
-        end
-    end
-
-    # create the layout
+    # create the layout and initialize the subplots
    plt.layout, plt.subplots, plt.spmap = build_layout(layout, num_sp, copy(plts))
-
-    # do we need to link any axes together?
-    link_axes!(plt.layout, plt[:link])
-
-    # initialize the subplots
-    cmdidx = 1
    for (idx, sp) in enumerate(plt.subplots)
        _initialize_subplot(plt, sp)
        serieslist = series_list(sp)
@@ -119,11 +100,8 @@ function plot(plt1::Plot, plts_tail::Plot...; kw...)
        sp.plt = plt
        sp.attr[:subplot_index] = idx
        for series in serieslist
-            merge!(series.d, series_attr)
-            _add_defaults!(series.d, plt, sp, cmdidx)
            push!(plt.series_list, series)
            _series_added(plt, series)
-            cmdidx += 1
        end
    end

@@ -132,9 +110,14 @@ function plot(plt1::Plot, plts_tail::Plot...; kw...)
        _update_subplot_args(plt, sp, d, idx, false)
    end

+    # do we need to link any axes together?
+    link_axes!(plt.layout, plt[:link])
+
    # finish up
    current(plt)
-    _do_plot_show(plt, get(d, :show, default(:show)))
+    if get(d, :show, default(:show))
+        gui()
+    end
    plt
 end

@@ -165,12 +148,7 @@ end
 # 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, d::KW, args::Tuple)
-    d[:plot_object] = plt
-
-    if !isempty(args) && !isdefined(Main, :StatPlots) &&
-            first(split(string(typeof(args[1])), ".")) == "DataFrames"
-        warn("You're trying to plot a DataFrame, but this functionality is provided by StatPlots")
-    end
+    # d[:plot_object] = plt

    # --------------------------------
    # "USER RECIPES"
@@ -178,9 +156,6 @@ function _plot!(plt::Plot, d::KW, args::Tuple)

    kw_list = _process_userrecipes(plt, d, args)

-    # info(1)
-    # map(DD, kw_list)
-

    # --------------------------------
    # "PLOT RECIPES"
@@ -197,9 +172,6 @@ function _plot!(plt::Plot, d::KW, args::Tuple)
        _process_plotrecipe(plt, next_kw, kw_list, still_to_process)
    end

-    # info(2)
-    # map(DD, kw_list)
-
    # --------------------------------
    # Plot/Subplot/Layout setup
    # --------------------------------
@@ -212,10 +184,7 @@ function _plot!(plt::Plot, d::KW, args::Tuple)
    # --------------------------------
    # "SERIES RECIPES"
    # --------------------------------
-
-    # info(3)
-    # map(DD, kw_list)
-
+    
    for kw in kw_list
        sp::Subplot = kw[:subplot]
        # idx = get_subplot_index(plt, sp)
@@ -240,10 +209,9 @@ function _plot!(plt::Plot, d::KW, args::Tuple)
    current(plt)

    # do we want to force display?
-    # if plt[:show]
-    #     gui(plt)
-    # end
-    _do_plot_show(plt, plt[:show])
+    if plt[:show]
+        gui(plt)
+    end

    plt
 end
@@ -274,7 +242,7 @@ function prepare_output(plt::Plot)
    _update_plot_object(plt)
 end

-function backend_object(plt::Plot)
+function prepared_object(plt::Plot)
    prepare_output(plt)
    plt.o
 end
@@ -1,62 +0,0 @@
-
-const _attribute_defaults =  Dict(:Series => _series_defaults,
-                        :Subplot => _subplot_defaults,
-                        :Plot => _plot_defaults,
-                        :Axis => _axis_defaults)
-
-attrtypes() = join(keys(_attribute_defaults), ", ")
-attributes(attrtype::Symbol) = sort(collect(keys(_attribute_defaults[attrtype])))
-
-function lookup_aliases(attrtype, attribute)
-    attribute = Symbol(attribute)
-    attribute = in(attribute, keys(_keyAliases)) ? _keyAliases[attribute] : attribute
-    in(attribute, keys(_attribute_defaults[attrtype])) && return attribute
-    error("There is no attribute named $attribute in $attrtype")
-end
-
-"""
-    plotattr([attr])
-
-Look up the properties of a Plots attribute, or specify an attribute type. Call `plotattr()` for options.
-The information is the same as that given on https://juliaplots.github.io/attributes/.
-"""
-function plotattr()
-    println("Specify an attribute type to get a list of supported attributes. Options are $(attrtypes())")
-end
-
-function plotattr(attrtype::Symbol)
-    in(attrtype, keys(_attribute_defaults)) || error("Viable options are $(attrtypes())")
-    println("Defined $attrtype attributes are:\n$(join(attributes(attrtype), ", "))")
-end
-
-function plotattr(attribute::AbstractString)
-    attribute = Symbol(attribute)
-    attribute = in(attribute, keys(_keyAliases)) ? _keyAliases[attribute] : attribute
-    for (k, v) in _attribute_defaults
-        if in(attribute, keys(v))
-            return plotattr(k, "$attribute")
-        end
-    end
-    error("There is no attribute named $attribute")
-end
-
-function plotattr(attrtype::Symbol, attribute::AbstractString)
-    in(attrtype, keys(_attribute_defaults)) || ArgumentError("`attrtype` must match one of $(attrtypes())")
-
-    attribute = Symbol(lookup_aliases(attrtype, attribute))
-
-    desc = get(_arg_desc, attribute, "")
-    first_period_idx = findfirst(desc, '.')
-    typedesc = desc[1:first_period_idx-1]
-    desc = strip(desc[first_period_idx+1:end])
-    als = keys(filter((_,v)->v==attribute, _keyAliases)) |> collect |> sort
-    als = join(map(string,als), ", ")
-    def = _attribute_defaults[attrtype][attribute]
-
-
-    # Looks up the different elements and plots them
-    println("$attribute ", typedesc == "" ? "" : "{$typedesc}", "\n",
-        als == "" ? "" : "$als\n",
-        "\n$desc\n",
-        "$(attrtype) attribute, ", def == "" ? "" : " default: $def")
-end
@@ -1,3 +1,468 @@
 function _precompile_()
    ccall(:jl_generating_output, Cint, ()) == 1 || return nothing
+    precompile(Plots.py_add_series, (Plots.Plot{Plots.PyPlotBackend}, Plots.Series,))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Array{Float64, 1},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Base.StepRange{Int64, Int64},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Function,))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Array{Plots.OHLC, 1},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Array{Float64, 1},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Base.LinSpace{Float64},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, DataFrames.DataFrame,))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Array{Int64, 1},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Array{Union{UTF8String, ASCIIString}, 1},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Array{Function, 1},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Array{ASCIIString, 1},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.UnicodePlotsBackend}, Base.Dict{Symbol, Any},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Base.FloatRange{Float64},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.UnicodePlotsBackend}, Base.Dict{Symbol, Any}, Array{Float64, 1},))
+    precompile(Plots._plot!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Array{Float64, 2},))
+    precompile(Plots._add_defaults!, (Base.Dict{Symbol, Any}, Plots.Plot{Plots.UnicodePlotsBackend}, Plots.Subplot{Plots.UnicodePlotsBackend}, Int64,))
+    precompile(Plots._before_layout_calcs, (Plots.Plot{Plots.PyPlotBackend},))
+    precompile(Plots._apply_series_recipe, (Plots.Plot{Plots.UnicodePlotsBackend}, Base.Dict{Symbol, Any},))
+    precompile(Plots._add_defaults!, (Base.Dict{Symbol, Any}, Plots.Plot{Plots.PyPlotBackend}, Plots.Subplot{Plots.PyPlotBackend}, Int64,))
+    precompile(Plots._apply_series_recipe, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any},))
+    precompile(Plots.setup_ijulia, ())
+    precompile(Plots.call, (Type{Plots.Plot{Plots.UnicodePlotsBackend}}, Plots.UnicodePlotsBackend, Int64, Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Array{Plots.Series, 1}, Void, Array{Plots.Subplot, 1}, Base.Dict{Any, Plots.Subplot}, Plots.EmptyLayout, Array{Plots.Subplot, 1}, Bool,))
+    precompile(Plots.expand_extrema!, (Plots.Subplot{Plots.UnicodePlotsBackend}, Base.Dict{Symbol, Any},))
+    precompile(Plots.create_grid_vcat, (Expr,))
+    precompile(Plots.expand_extrema!, (Plots.Subplot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any},))
+    precompile(Plots.update_child_bboxes!, (Plots.GridLayout, Array{Measures.Length{:mm, Float64}, 1},))
+    precompile(Plots.preprocessArgs!, (Base.Dict{Symbol, Any},))
+    precompile(Plots.call, (Type{Plots.Plot{Plots.PyPlotBackend}}, Plots.PyPlotBackend, Int64, Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Array{Plots.Series, 1}, Void, Array{Plots.Subplot, 1}, Base.Dict{Any, Plots.Subplot}, Plots.EmptyLayout, Array{Plots.Subplot, 1}, Bool,))
+    precompile(Plots.fix_xy_lengths!, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any},))
+    precompile(Plots._update_min_padding!, (Plots.Subplot{Plots.PyPlotBackend},))
+    precompile(Plots.warnOnUnsupported_args, (Plots.PyPlotBackend, Base.Dict{Symbol, Any},))
+    precompile(Plots.build_layout, (Plots.GridLayout, Int64,))
+    precompile(Plots.build_layout, (Plots.GridLayout, Int64, Array{Plots.Plot, 1},))
+    precompile(Plots.warnOnUnsupported, (Plots.UnicodePlotsBackend, Base.Dict{Symbol, Any},))
+    precompile(Plots.link_axes!, (Plots.GridLayout, Symbol,))
+    precompile(Plots.warnOnUnsupported, (Plots.PyPlotBackend, Base.Dict{Symbol, Any},))
+    precompile(Plots._update_plot_args, (Plots.Plot{Plots.UnicodePlotsBackend}, Base.Dict{Symbol, Any},))
+    precompile(Plots.font, (Int64,))
+    precompile(Plots.recompute_lengths, (Array{Measures.Measure, 1},))
+    precompile(Plots._update_plot_object, (Plots.Plot{Plots.PyPlotBackend},))
+    precompile(Plots.font, (Symbol,))
+    precompile(Plots.create_grid, (Expr,))
+    precompile(Plots.slice_arg!, (Array{Any, 1}, Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Symbol, Void, Int64,))
+    precompile(Plots.pickDefaultBackend, ())
+    precompile(Plots.default_should_widen, (Plots.Axis,))
+    precompile(Plots.setup_atom, ())
+    precompile(Plots.slice_arg!, (Array{Any, 1}, Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Symbol, Symbol, Int64,))
+    precompile(Plots.my_hist_2d, (Array{Any, 1}, Array{Float64, 1}, Array{Float64, 1}, Int64,))
+    precompile(Plots.slice_arg!, (Array{Any, 1}, Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Symbol, ASCIIString, Int64,))
+    precompile(Plots.create_grid_curly, (Expr,))
+    precompile(Plots.slice_arg!, (Array{Any, 1}, Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Symbol, Bool, Int64,))
+    precompile(Plots.slice_arg!, (Array{Any, 1}, Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Symbol, Int64, Int64,))
+    precompile(Plots.my_hist, (Array{Any, 1}, Array{Float64, 1}, Int64,))
+    precompile(Plots.getpctrange, (Int64,))
+    precompile(Plots.call, (Type{Plots.ColorGradient}, Array{Symbol, 1},))
+    precompile(Plots.default, (Symbol,))
+    precompile(Plots.process_axis_arg!, (Base.Dict{Symbol, Any}, Symbol, Symbol,))
+    precompile(Plots.pie_labels, (Plots.Subplot{Plots.PyPlotBackend}, Plots.Series,))
+    precompile(Plots.slice_arg!, (Array{Any, 1}, Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Symbol, Measures.Length{:mm, Float64}, Int64,))
+    precompile(Plots.py_path, (Array{Float64, 1}, Array{Float64, 1},))
+    precompile(Plots._update_min_padding!, (Plots.GridLayout,))
+    precompile(Plots.warnOnUnsupported_scales, (Plots.UnicodePlotsBackend, Base.Dict{Symbol, Any},))
+    precompile(Plots.slice_arg!, (Array{Any, 1}, Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Symbol, Plots.Font, Int64,))
+    precompile(Plots.process_axis_arg!, (Base.Dict{Symbol, Any}, Tuple{Int64, Int64}, Symbol,))
+    precompile(Plots.slice_arg!, (Array{Any, 1}, Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Symbol, Array{Any, 1}, Int64,))
+    precompile(Plots.default, (Symbol, Tuple{Int64, Int64},))
+    precompile(Plots.warnOnUnsupported_scales, (Plots.PyPlotBackend, Base.Dict{Symbol, Any},))
+    precompile(Plots.axis_limits, (Plots.Axis, Bool,))
+    precompile(Plots.default, (Symbol, Bool,))
+    precompile(Plots.getColorZ, (Plots.ColorGradient, Float64,))
+    precompile(Plots._update_plot_args, (Plots.Plot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any},))
+    precompile(Plots.call, (Type{Plots.Surface}, Function, Base.FloatRange{Float64}, Base.FloatRange{Float64},))
+    precompile(Plots.font, (Symbol,))
+    precompile(Plots.process_axis_arg!, (Base.Dict{Symbol, Any}, Base.StepRange{Int64, Int64}, Symbol,))
+    precompile(Plots.call, (Array{Any, 1}, Type{Plots.Subplot}, Plots.UnicodePlotsBackend,))
+    precompile(Plots.extractGroupArgs, (Array{ASCIIString, 1}, Array{Float64, 1},))
+    precompile(Plots._update_subplot_args, (Array{Any, 1}, Plots.Plot{Plots.UnicodePlotsBackend}, Plots.Subplot{Plots.UnicodePlotsBackend}, Base.Dict{Symbol, Any}, Int64,))
+    precompile(Plots.call, (Array{Any, 1}, Type{Plots.Subplot}, Plots.PyPlotBackend,))
+    precompile(Plots._update_subplot_args, (Array{Any, 1}, Plots.Plot{Plots.PyPlotBackend}, Plots.Subplot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Int64,))
+    precompile(Plots.extractGroupArgs, (Array{Union{UTF8String, ASCIIString}, 1},))
+    precompile(Plots.bbox_to_pcts, (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}, Bool,))
+    precompile(Plots.plot, (Array{Any, 1}, Array{Float64, 1},))
+    precompile(Plots.py_marker, (Plots.Shape,))
+    precompile(Plots.getindex, (Plots.Subplot{Plots.UnicodePlotsBackend}, Symbol,))
+    precompile(Plots.getindex, (Plots.Subplot{Plots.PyPlotBackend}, Symbol,))
+    precompile(Plots.discrete_value!, (Plots.Axis, Array{Union{UTF8String, ASCIIString}, 1},))
+    precompile(Plots.prepare_output, (Plots.Plot{Plots.PyPlotBackend},))
+    precompile(Plots.update_inset_bboxes!, (Plots.Plot{Plots.PyPlotBackend},))
+    precompile(Plots.add_layout_pct!, (Base.Dict{Symbol, Any}, Expr, Int64, Int64,))
+    precompile(Plots.process_axis_arg!, (Base.Dict{Symbol, Any}, ASCIIString, Symbol,))
+    precompile(Plots.call, (Type{Plots.Shape}, Array{Float64, 1}, Array{Float64, 1},))
+    precompile(Plots.plot, (Array{Any, 1}, Base.LinSpace{Float64}, Array{Float64, 2},))
+    precompile(Plots.call, (Array{Any, 1}, Type{Plots.EmptyLayout}, Plots.RootLayout,))
+    precompile(Plots.plot, (Array{Any, 1}, Function, Function,))
+    precompile(Plots.should_add_to_legend, (Plots.Series,))
+    precompile(Plots.plot, (Array{Any, 1}, DataFrames.DataFrame, Symbol,))
+    precompile(Plots.plot, (Array{Any, 1}, Array{Plots.OHLC, 1},))
+    precompile(Plots.convertToAnyVector, (Array{Float64, 2}, Base.Dict{Symbol, Any},))
+    precompile(Plots.plot, (Array{Any, 1}, Array{Float64, 1}, Array{Float64, 1},))
+    precompile(Plots.plot, (Array{Any, 1}, Array{ASCIIString, 1}, Array{Float64, 1},))
+    precompile(Plots.plot!, (Array{Any, 1}, Plots.Plot{Plots.PyPlotBackend}, Array{Float64, 1},))
+    precompile(Plots.processLineArg, (Base.Dict{Symbol, Any}, Symbol,))
+    precompile(Plots.aliasesAndAutopick, (Base.Dict{Symbol, Any}, Symbol, Base.Dict{Symbol, Any}, Array{Symbol, 1}, Int64,))
+    precompile(Plots.plot!, (Array{Any, 1}, Plots.Plot{Plots.PyPlotBackend}, Array{Int64, 1},))
+    precompile(Plots.pie, (Array{Any, 1}, Array{ASCIIString, 1},))
+    precompile(Plots.aliasesAndAutopick, (Base.Dict{Symbol, Any}, Symbol, Base.Dict{Symbol, Any}, Array{Any, 1}, Int64,))
+    precompile(Plots.merge_with_base_supported, (Array{Symbol, 1},))
+    precompile(Plots.histogram2d, (Array{Any, 1}, Array{Float64, 1},))
+    precompile(Plots.plot, (Array{Any, 1}, Base.StepRange{Int64, Int64}, Array{Float64, 2},))
+    precompile(Plots.plot, (Array{Any, 1}, Base.LinSpace{Float64}, Array{Float64, 1},))
+    precompile(Plots.plot, (Array{Any, 1}, Array{Float64, 1}, Array{Float64, 1},))
+    precompile(Plots.font, ())
+    precompile(Plots.plot, (Array{Any, 1}, Base.FloatRange{Float64}, Array{Float64, 1},))
+    precompile(Plots.plot, (Array{Any, 1}, Base.FloatRange{Float64}, Base.FloatRange{Float64},))
+    precompile(Plots.plot, (Array{Any, 1}, Array{Function, 1}, Array{Float64, 1},))
+    precompile(Plots.scatter, (Array{Any, 1}, Base.LinSpace{Float64},))
+    precompile(Plots.plot!, (Array{Any, 1}, Plots.Plot{Plots.PyPlotBackend}, Base.LinSpace{Float64},))
+    precompile(Plots.plot!, (Array{Any, 1}, Base.LinSpace{Float64}, Array{Float64, 1},))
+    precompile(Plots.get_zvalues, (Int64,))
+    precompile(Plots.plot, (Array{Any, 1}, Array{Union{UTF8String, ASCIIString}, 1}, Array{Union{UTF8String, ASCIIString}, 1},))
+    precompile(Plots.histogram, (Array{Any, 1}, Array{Float64, 1},))
+    precompile(Plots.hline!, (Array{Any, 1}, Array{Float64, 2},))
+    precompile(Plots.layout_args, (Base.Dict{Symbol, Any}, Int64,))
+    precompile(Plots.heatmap, (Array{Any, 1}, Array{Union{UTF8String, ASCIIString}, 1},))
+    precompile(Plots._replace_linewidth, (Base.Dict{Symbol, Any},))
+    precompile(Plots.plot!, (Array{Any, 1}, Array{Float64, 1}, Array{Float64, 1},))
+    precompile(Plots.plot!, (Array{Any, 1}, Plots.Plot{Plots.PyPlotBackend}, Array{Float64, 2},))
+    precompile(Plots.py_markercolor, (Base.Dict{Symbol, Any},))
+    precompile(Plots.unzip, (Array{Tuple{Float64, Float64}, 1},))
+    precompile(Plots.link_axes!, (Array{Plots.AbstractLayout, 2}, Symbol,))
+    precompile(Plots.plot!, (Array{Any, 1}, Plots.Plot{Plots.PyPlotBackend}, Array{Float64, 1},))
+    precompile(Plots.contour, (Array{Any, 1}, Base.FloatRange{Float64},))
+    precompile(Plots.scatter, (Array{Any, 1}, DataFrames.DataFrame,))
+    precompile(Plots.scatter!, (Array{Any, 1}, Base.LinSpace{Float64},))
+    precompile(Plots.scatter!, (Array{Any, 1}, Array{Float64, 1},))
+    precompile(Plots.getxy, (Plots.Plot{Plots.PyPlotBackend}, Int64,))
+    precompile(Plots.plot, (Array{Any, 1}, Array{Float64, 2},))
+    precompile(Plots.get_xy, (Array{Plots.OHLC, 1}, Base.UnitRange{Int64},))
+    precompile(Plots.convertToAnyVector, (Array{Function, 1}, Base.Dict{Symbol, Any},))
+    precompile(Plots.py_add_annotations, (Plots.Subplot{Plots.PyPlotBackend}, Int64, Float64, Plots.PlotText,))
+    precompile(Plots.plot!, (Array{Any, 1}, Array{Float64, 1},))
+    precompile(Plots.get_color_palette, (Symbol, ColorTypes.RGB{Float64}, Int64,))
+    precompile(Plots.py_add_annotations, (Plots.Subplot{Plots.PyPlotBackend}, Float64, Float64, Plots.PlotText,))
+    precompile(Plots.py_colormap, (Plots.ColorGradient, Float64,))
+    precompile(Plots.processMarkerArg, (Base.Dict{Symbol, Any}, Plots.Stroke,))
+    precompile(Plots.call, (Type{Plots.ColorVector}, Array{Symbol, 1},))
+    precompile(Plots.py_colormap, (Plots.ColorGradient, Void,))
+    precompile(Plots.py_fillcolor, (Base.Dict{Symbol, Any},))
+    precompile(Plots.processLineArg, (Base.Dict{Symbol, Any}, Float64,))
+    precompile(Plots.plot!, (Array{Any, 1}, Array{Float64, 2},))
+    precompile(Plots.processMarkerArg, (Base.Dict{Symbol, Any}, Symbol,))
+    precompile(Plots.call, (Type{Plots.Plot},))
+    precompile(Plots.call, (Type{Plots.ColorGradient}, Array{ColorTypes.RGBA{Float64}, 1},))
+    precompile(Plots.plot!, (Array{Any, 1}, Array{Int64, 1},))
+    precompile(Plots.getExtension, (UTF8String,))
+    precompile(Plots.call, (Array{Any, 1}, Type{Plots.EmptyLayout},))
+    precompile(Plots.update!, (Array{Any, 1}, Plots.Axis,))
+    precompile(Plots.frame, (Plots.Animation, Plots.Plot{Plots.PyPlotBackend},))
+    precompile(Plots.processMarkerArg, (Base.Dict{Symbol, Any}, Int64,))
+    precompile(Plots.link_axes!, (Array{Plots.AbstractLayout, 1}, Symbol,))
+    precompile(Plots.call, (Type{Plots.ColorGradient}, Array{ColorTypes.RGB{Float64}, 1},))
+    precompile(Plots.fakedata, (Int64,))
+    precompile(Plots.plot!, (Array{Any, 1}, Plots.Plot{Plots.PyPlotBackend},))
+    precompile(Plots.py_compute_axis_minval, (Plots.Axis,))
+    precompile(Plots.processLineArg, (Base.Dict{Symbol, Any}, Int64,))
+    precompile(Plots.command_idx, (Array{Base.Dict{Symbol, Any}, 1}, Base.Dict{Symbol, Any},))
+    precompile(Plots.getindex, (Plots.Axis, Symbol,))
+    precompile(Plots.__init__, ())
+    precompile(Plots.isvertical, (Base.Dict{Symbol, Any},))
+    precompile(Plots.getExtension, (ASCIIString,))
+    precompile(Plots.py_marker, (Symbol,))
+    precompile(Plots.py_init_subplot, (Plots.Plot{Plots.PyPlotBackend}, Plots.Subplot{Plots.PyPlotBackend},))
+    precompile(Plots.processMarkerArg, (Base.Dict{Symbol, Any}, ColorTypes.RGBA{Float64},))
+    precompile(Plots.bucket_index, (Float64, Base.LinSpace{Float64},))
+    precompile(Plots.default, (Array{Any, 1},))
+    precompile(Plots.filter_data!, (Base.Dict{Symbol, Any}, Array{Int64, 1},))
+    precompile(Plots.call, (Type{Plots.ColorGradient}, Array{Symbol, 1}, Base.LinSpace{Float64},))
+    precompile(Plots.slice_arg, (Array{Symbol, 2}, Int64,))
+    precompile(Plots.getindex, (Plots.Plot{Plots.UnicodePlotsBackend}, Symbol,))
+    precompile(Plots.plot!, (Array{Any, 1},))
+    precompile(Plots.push!, (Plots.Plot{Plots.PyPlotBackend}, Array{Float64, 1}, Array{Float64, 1},))
+    precompile(Plots.processMarkerArg, (Base.Dict{Symbol, Any}, Float64,))
+    precompile(Plots.expand_extrema!, (Plots.Axis, Base.FloatRange{Float64},))
+    precompile(Plots.getindex, (Plots.Plot{Plots.PyPlotBackend}, Symbol,))
+    precompile(Plots.handle_dfs, (DataFrames.DataFrame, Base.Dict{Symbol, Any}, ASCIIString, Symbol,))
+    precompile(Plots.filter_data, (Base.UnitRange{Int64}, Array{Int64, 1},))
+    precompile(Plots.call, (Type{Plots.ColorWrapper}, ColorTypes.RGBA{Float64},))
+    precompile(Plots.processMarkerArg, (Base.Dict{Symbol, Any}, Array{Symbol, 2},))
+    precompile(Plots.processLineArg, (Base.Dict{Symbol, Any}, Array{Symbol, 2},))
+    precompile(Plots.color_or_nothing!, (Base.Dict{Symbol, Any}, Symbol,))
+    precompile(Plots.processMarkerArg, (Base.Dict{Symbol, Any}, Plots.Shape,))
+    precompile(Plots.py_fillcolormap, (Base.Dict{Symbol, Any},))
+    precompile(Plots.transpose_z, (Base.Dict{Symbol, Any}, Array{Float64, 2}, Bool,))
+    precompile(Plots.py_linecolor, (Base.Dict{Symbol, Any},))
+    precompile(Plots.call, (Type{Plots.OHLC}, Float64, Float64, Float64, Float64,))
+    precompile(Plots.setxy!, (Plots.Plot{Plots.PyPlotBackend}, Tuple{Array{Float64, 1}, Array{Float64, 1}}, Int64,))
+    precompile(Plots.push!, (Plots.Segments, Float64, Float64, Float64, Float64,))
+    precompile(Plots.handle_group, (DataFrames.DataFrame, Base.Dict{Symbol, Any},))
+    precompile(Plots.lightness_from_background, (ColorTypes.RGB{Float64},))
+    precompile(Plots.expand_extrema!, (Plots.Axis, Base.LinSpace{Float64},))
+    precompile(Plots.py_bbox, (Array{Any, 1},))
+    precompile(Plots.py_markerstrokecolor, (Base.Dict{Symbol, Any},))
+    precompile(Plots.arrow, ())
+    precompile(Plots.convert, (Type{Array{Float64, 1}}, Base.StepRange{Int64, Int64},))
+    precompile(Plots.expand_extrema!, (Plots.Axis, Array{Float64, 1},))
+    precompile(Plots.convertLegendValue, (Symbol,))
+    precompile(Plots.slice_arg, (Array{Measures.Length{:mm, Float64}, 2}, Int64,))
+    precompile(Plots.calc_num_subplots, (Plots.GridLayout,))
+    precompile(Plots.processFillArg, (Base.Dict{Symbol, Any}, Int64,))
+    precompile(Plots.slice_arg, (Array{Plots.ColorWrapper, 2}, Int64,))
+    precompile(Plots.slice_arg, (Array{ASCIIString, 2}, Int64,))
+    precompile(Plots.filter_data, (Array{Float64, 1}, Array{Int64, 1},))
+    precompile(Plots.py_linecolormap, (Base.Dict{Symbol, Any},))
+    precompile(Plots.discrete_value!, (Plots.Axis, ASCIIString,))
+    precompile(Plots.allShapes, (ColorTypes.RGBA{Float64},))
+    precompile(Plots.expand_extrema!, (Plots.Axis, Array{Int64, 1},))
+    precompile(Plots.py_color_fix, (Tuple{Float64, Float64, Float64, Float64}, Base.LinSpace{Float64},))
+    precompile(Plots.discrete_value!, (Plots.Axis, Symbol,))
+    precompile(Plots.push!, (Plots.Segments, Float64, Int64, Int64, Float64,))
+    precompile(Plots.expand_extrema!, (Plots.Axis, Plots.Surface{Array{Float64, 2}},))
+    precompile(Plots.heatmap_edges, (Array{Float64, 1},))
+    precompile(Plots.expand_extrema!, (Plots.Axis, Base.StepRange{Int64, Int64},))
+    precompile(Plots.handleColors!, (Base.Dict{Symbol, Any}, Plots.Shape, Symbol,))
+    precompile(Plots.py_color, (Plots.ColorWrapper, Float64,))
+    precompile(Plots.call, (Type{Plots.GridLayout}, Int64, Int64,))
+    precompile(Plots.handleColors!, (Base.Dict{Symbol, Any}, ColorTypes.RGBA{Float64}, Symbol,))
+    precompile(Plots.handleColors!, (Base.Dict{Symbol, Any}, Bool, Symbol,))
+    precompile(Plots.hvline_limits, (Plots.Axis,))
+    precompile(Plots.current, ())
+    precompile(Plots.handleColors!, (Base.Dict{Symbol, Any}, Float64, Symbol,))
+    precompile(Plots.compute_gridsize, (Int64, Int64, Int64,))
+    precompile(Plots.py_color, (ColorTypes.RGB{Float64}, Void,))
+    precompile(Plots.interpolate_rgb, (ColorTypes.RGBA{Float64}, ColorTypes.RGBA{Float64}, Float64,))
+    precompile(Plots.expand_extrema!, (Plots.Axis, Base.UnitRange{Int64},))
+    precompile(Plots.allShapes, (Float64,))
+    precompile(Plots.warn_on_deprecated_backend, (Symbol,))
+    precompile(Plots.py_color_fix, (Tuple{Float64, Float64, Float64, Float64}, Array{Int64, 1},))
+    precompile(Plots.setindex!, (Plots.GridLayout, Plots.EmptyLayout, Int64, Int64,))
+    precompile(Plots.expand_extrema!, (Plots.Axis, Tuple{Int64, Int64},))
+    precompile(Plots.allShapes, (Int64,))
+    precompile(Plots.py_markercolormap, (Base.Dict{Symbol, Any},))
+    precompile(Plots.interpolate_rgb, (ColorTypes.RGB{Float64}, ColorTypes.RGB{Float64}, Float64,))
+    precompile(Plots.get_ticks, (Plots.Axis,))
+    precompile(Plots.backend, ())
+    precompile(Plots.get_xy, (Plots.OHLC{Float64}, Int64, Float64,))
+    precompile(Plots.allShapes, (Plots.Stroke,))
+    precompile(Plots.replaceAliases!, (Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any},))
+    precompile(Plots._create_backend_figure, (Plots.Plot{Plots.PyPlotBackend},))
+    precompile(Plots.png, (Plots.Plot{Plots.PyPlotBackend}, UTF8String,))
+    precompile(Plots.processFillArg, (Base.Dict{Symbol, Any}, Symbol,))
+    precompile(Plots.allShapes, (Plots.Shape,))
+    precompile(Plots.handleColors!, (Base.Dict{Symbol, Any}, Plots.Stroke, Symbol,))
+    precompile(Plots.py_color_fix, (Tuple{Float64, Float64, Float64, Float64}, Array{Float64, 1},))
+    precompile(Plots.plot, (Array{Float64, 1},))
+    precompile(Plots.rowsize, (Expr,))
+    precompile(Plots.get_axis, (Plots.Subplot{Plots.PyPlotBackend}, Symbol,))
+    precompile(Plots.png, (Plots.Plot{Plots.PyPlotBackend}, ASCIIString,))
+    precompile(Plots.expand_extrema!, (Plots.Axis, Tuple{Float64, Float64},))
+    precompile(Plots._markershape_supported, (Plots.PyPlotBackend, Plots.Shape,))
+    precompile(Plots.processFillArg, (Base.Dict{Symbol, Any}, Bool,))
+    precompile(Plots.supported_types, (Plots.PyPlotBackend,))
+    precompile(Plots.get_axis, (Plots.Subplot{Plots.UnicodePlotsBackend}, Symbol,))
+    precompile(Plots.setindex!, (Plots.GridLayout, Plots.GridLayout, Int64, Int64,))
+    precompile(Plots.plot, ())
+    precompile(Plots.py_color_fix, (Tuple{Float64, Float64, Float64, Float64}, Base.FloatRange{Float64},))
+    precompile(Plots._markershape_supported, (Plots.PyPlotBackend, Symbol,))
+    precompile(Plots.ok, (Float64, Float64, Int64,))
+    precompile(Plots.allShapes, (Symbol,))
+    precompile(Plots._initialize_backend, (Plots.PyPlotBackend,))
+    precompile(Plots.plot, (Plots.Plot{Plots.PyPlotBackend}, Plots.Plot{Plots.PyPlotBackend},))
+    precompile(Plots.bar, (Array{Float64, 1},))
+    precompile(Plots.call, (Type{Plots.ColorGradient}, Array{ColorTypes.RGBA{Float64}, 1}, Base.LinSpace{Float64},))
+    precompile(Plots.handleColors!, (Base.Dict{Symbol, Any}, Int64, Symbol,))
+    precompile(Plots.nanappend!, (Array{Float64, 1}, Array{Float64, 1},))
+    precompile(Plots.autopick, (Array{ColorTypes.RGBA, 1}, Int64,))
+    precompile(Plots.compute_xyz, (Void, Array{Int64, 1}, Void,))
+    precompile(Plots._add_markershape, (Base.Dict{Symbol, Any},))
+    precompile(Plots._backend_instance, (Symbol,))
+    precompile(Plots.py_color, (ColorTypes.RGBA{Float64}, Float64,))
+    precompile(Plots.update_child_bboxes!, (Plots.GridLayout,))
+    precompile(Plots._replace_markershape, (Symbol,))
+    precompile(Plots.has_black_border_for_default, (Symbol,))
+    precompile(Plots._filter_input_data!, (Base.Dict{Symbol, Any},))
+    precompile(Plots.compute_xyz, (Array{Float64, 1}, Array{Float64, 1}, Base.UnitRange{Int64},))
+    precompile(Plots.text, (ASCIIString, Int64, Symbol,))
+    precompile(Plots.allShapes, (Array{Symbol, 2},))
+    precompile(Plots.py_color_fix, (Tuple{Float64, Float64, Float64, Float64}, Base.UnitRange{Int64},))
+    precompile(Plots.replaceAlias!, (Base.Dict{Symbol, Any}, Symbol, Base.Dict{Symbol, Any},))
+    precompile(Plots.compute_xyz, (Array{ASCIIString, 1}, Array{Float64, 1}, Void,))
+    precompile(Plots.layout_args, (Int64,))
+    precompile(Plots.text, (ASCIIString, Symbol, Int64,))
+    precompile(Plots.compute_xyz, (Base.FloatRange{Float64}, Base.FloatRange{Float64}, Plots.Surface{Array{Float64, 2}},))
+    precompile(Plots.all3D, (Base.Dict{Symbol, Any},))
+    precompile(Plots.cycle, (Array{Plots.Subplot, 1}, Int64,))
+    precompile(Plots.compute_xyz, (Base.StepRange{Int64, Int64}, Array{Float64, 1}, Void,))
+    precompile(Plots.plotarea!, (Plots.Subplot{Plots.PyPlotBackend}, Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}},))
+    precompile(Plots.like_surface, (Symbol,))
+    precompile(Plots.build_layout, (Base.Dict{Symbol, Any},))
+    precompile(Plots.compute_xyz, (Array{Union{UTF8String, ASCIIString}, 1}, Array{Union{UTF8String, ASCIIString}, 1}, Plots.Surface{Array{Float64, 2}},))
+    precompile(Plots.py_linestyle, (Symbol, Symbol,))
+    precompile(Plots.plot!, (Array{Float64, 2},))
+    precompile(Plots.plot!, (Plots.Plot{Plots.PyPlotBackend}, Array{Float64, 2},))
+    precompile(Plots.call, (Type{Plots.ColorGradient}, Array{ColorTypes.RGB{Float64}, 1}, Base.LinSpace{Float64},))
+    precompile(Plots.py_color, (ColorTypes.RGBA{Float64}, Void,))
+    precompile(Plots.yaxis!, (ASCIIString, Symbol,))
+    precompile(Plots.compute_xyz, (Base.LinSpace{Float64}, Array{Float64, 1}, Void,))
+    precompile(Plots.isijulia, ())
+    precompile(Plots.addExtension, (UTF8String, ASCIIString,))
+    precompile(Plots.call, (Type{Plots.ColorGradient}, Array{ColorTypes.RGBA{Float64}, 1}, Array{Float64, 1},))
+    precompile(Plots.expand_extrema!, (Plots.Subplot{Plots.PyPlotBackend}, Float64, Float64, Float64, Float64,))
+    precompile(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(Plots.layout_args, (Base.Dict{Symbol, Any},))
+    precompile(Plots.compute_xyz, (Base.FloatRange{Float64}, Array{Float64, 1}, Void,))
+    precompile(Plots.addExtension, (ASCIIString, ASCIIString,))
+    precompile(Plots.handleColors!, (Base.Dict{Symbol, Any}, Symbol, Symbol,))
+    precompile(Plots._initialize_backend, (Plots.PlotlyBackend,))
+    precompile(Plots.push!, (Plots.Plot{Plots.PyPlotBackend}, Int64, Float64, Float64,))
+    precompile(Plots.bbox!, (Plots.Subplot{Plots.PyPlotBackend}, Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}},))
+    precompile(Plots.vline!, (Array{Int64, 1},))
+    precompile(Plots.supported_markers, (Plots.PyPlotBackend,))
+    precompile(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(Plots.stroke, (Int64,))
+    precompile(Plots.compute_xyz, (Array{Float64, 1}, Array{Float64, 1}, Void,))
+    precompile(Plots.right, (Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}},))
+    precompile(Plots.extractGroupArgs, (Symbol, DataFrames.DataFrame, Symbol,))
+    precompile(Plots.generate_colorgradient, (ColorTypes.RGB{Float64},))
+    precompile(Plots.expand_extrema!, (Plots.Extrema, Bool,))
+    precompile(Plots.py_colormap, (Plots.ColorWrapper, Void,))
+    precompile(Plots.expand_extrema!, (Plots.Extrema, Float64,))
+    precompile(Plots.contour, (Base.FloatRange{Float64},))
+    precompile(Plots.bottom, (Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}},))
+    precompile(Plots.text, (ASCIIString, Symbol,))
+    precompile(Plots.create_grid, (Symbol,))
+    precompile(Plots.expand_extrema!, (Plots.Axis, Bool,))
+    precompile(Plots.handleColors!, (Base.Dict{Symbol, Any}, Array{Symbol, 2}, Symbol,))
+    precompile(Plots.convertToAnyVector, (Void, Base.Dict{Symbol, Any},))
+    precompile(Plots.py_dpi_scale, (Plots.Plot{Plots.PyPlotBackend}, Int64,))
+    precompile(Plots.png, (ASCIIString,))
+    precompile(Plots.supported_scales, (Plots.PyPlotBackend,))
+    precompile(Plots.convertColor, (ColorTypes.RGBA{Float64}, Float64,))
+    precompile(Plots.extendSeriesData, (Array{Float64, 1}, Float64,))
+    precompile(Plots.compute_xyz, (Void, Array{Float64, 1}, Void,))
+    precompile(Plots.py_color, (Symbol,))
+    precompile(Plots.expand_extrema!, (Plots.Extrema, Int64,))
+    precompile(Plots.supported_styles, (Plots.PyPlotBackend,))
+    precompile(Plots._initialize_backend, (Plots.UnicodePlotsBackend,))
+    precompile(Plots._initialize_backend, (Plots.GRBackend,))
+    precompile(Plots.is3d, (Symbol,))
+    precompile(Plots.supported_types, (Plots.UnicodePlotsBackend,))
+    precompile(Plots.compute_xyz, (Array{Float64, 1}, Function, Void,))
+    precompile(Plots.py_color, (Symbol, Void,))
+    precompile(Plots.trueOrAllTrue, (Function, Array{Symbol, 2},))
+    precompile(Plots.typemin, (Measures.Length{:mm, Float64},))
+    precompile(Plots.expand_extrema!, (Plots.Axis, Float64,))
+    precompile(Plots.get_subplot_index, (Plots.Plot{Plots.UnicodePlotsBackend}, Plots.Subplot{Plots.UnicodePlotsBackend},))
+    precompile(Plots.leftpad, (Plots.GridLayout,))
+    precompile(Plots._update_subplot_args, (Plots.Plot{Plots.UnicodePlotsBackend}, Plots.Subplot{Plots.UnicodePlotsBackend}, Base.Dict{Symbol, Any}, Int64,))
+    precompile(Plots.centers, (Base.LinSpace{Float64},))
+    precompile(Plots.expand_extrema!, (Plots.Axis, Int64,))
+    precompile(Plots.text, (ASCIIString,))
+    precompile(Plots.convertColor, (ColorTypes.RGB{Float64},))
+    precompile(Plots.py_color, (Plots.ColorWrapper, Void,))
+    precompile(Plots.py_color, (Plots.ColorWrapper,))
+    precompile(Plots.trueOrAllTrue, (Function, Int64,))
+    precompile(Plots.convertColor, (ColorTypes.RGBA{Float64},))
+    precompile(Plots.extrema, (Plots.Axis,))
+    precompile(Plots.top, (Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}},))
+    precompile(Plots.convertColor, (Symbol,))
+    precompile(Plots.size, (Plots.Surface{Array{Float64, 2}},))
+    precompile(Plots.isdark, (ColorTypes.RGB{Float64},))
+    precompile(Plots.rowsize, (Symbol,))
+    precompile(Plots.series_list, (Plots.Subplot{Plots.PyPlotBackend},))
+    precompile(Plots.convertToAnyVector, (Array{Float64, 1}, Base.Dict{Symbol, Any},))
+    precompile(Plots.update!, (Plots.Axis,))
+    precompile(Plots.push!, (Plots.Plot{Plots.PyPlotBackend}, Float64, Array{Float64, 1},))
+    precompile(Plots.wraptuple, (Bool,))
+    precompile(Plots.call, (Type{Plots.Shape}, Array{Tuple{Float64, Float64}, 1},))
+    precompile(Plots.slice_arg, (Base.StepRange{Int64, Int64}, Int64,))
+    precompile(Plots.sticks_fillfrom, (Void, Int64,))
+    precompile(Plots.left, (Measures.BoundingBox{Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}, Tuple{Measures.Length{:mm, Float64}, Measures.Length{:mm, Float64}}},))
+    precompile(Plots.gr, ())
+    precompile(Plots.leftpad, (Plots.Subplot{Plots.PyPlotBackend},))
+    precompile(Plots.supported_markers, ())
+    precompile(Plots.colorscheme, (Symbol,))
+    precompile(Plots.convertColor, (ColorTypes.RGB{Float64}, Void,))
+    precompile(Plots.isscalar, (Int64,))
+    precompile(Plots.wraptuple, (Int64,))
+    precompile(Plots.call, (Type{Plots.Plot}, Plots.UnicodePlotsBackend, Int64, Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Array{Plots.Series, 1}, Void, Array{Plots.Subplot, 1}, Base.Dict{Any, Plots.Subplot}, Plots.EmptyLayout, Array{Plots.Subplot, 1}, Bool,))
+    precompile(Plots.supported_styles, ())
+    precompile(Plots.frame, (Plots.Animation,))
+    precompile(Plots.toppad, (Plots.Subplot{Plots.PyPlotBackend},))
+    precompile(Plots.link_axes!, (Plots.Subplot{Plots.UnicodePlotsBackend}, Symbol,))
+    precompile(Plots.convertLegendValue, (Bool,))
+    precompile(Plots.convertColor, (ColorTypes.RGBA{Float64}, Void,))
+    precompile(Plots.plotly, ())
+    precompile(Plots.ispositive, (Measures.Length{:mm, Float64},))
+    precompile(Plots.rightpad, (Plots.Subplot{Plots.PyPlotBackend},))
+    precompile(Plots.call, (Type{Plots.GroupBy}, Array{ASCIIString, 1}, Array{Array{Int64, 1}, 1},))
+    precompile(Plots.px2inch, (Int64,))
+    precompile(Plots.slice_arg, (Tuple{Int64, Int64}, Int64,))
+    precompile(Plots.call, (Type{Plots.UnicodePlotsBackend},))
+    precompile(Plots.trueOrAllTrue, (Function, Symbol,))
+    precompile(Plots.bottompad, (Plots.Subplot{Plots.PyPlotBackend},))
+    precompile(Plots.annotate!, (Array{Tuple{Int64, Float64, Plots.PlotText}, 1},))
+    precompile(Plots.get_subplot_index, (Plots.Plot{Plots.PyPlotBackend}, Plots.Subplot{Plots.PyPlotBackend},))
+    precompile(Plots.call, (Type{Plots.Plot}, Plots.PyPlotBackend, Int64, Base.Dict{Symbol, Any}, Base.Dict{Symbol, Any}, Array{Plots.Series, 1}, Void, Array{Plots.Subplot, 1}, Base.Dict{Any, Plots.Subplot}, Plots.EmptyLayout, Array{Plots.Subplot, 1}, Bool,))
+    precompile(Plots.title!, (ASCIIString,))
+    precompile(Plots.slice_arg, (Bool, Int64,))
+    precompile(Plots.wraptuple, (Float64,))
+    precompile(Plots.bottompad, (Plots.GridLayout,))
+    precompile(Plots.py_stepstyle, (Symbol,))
+    precompile(Plots.link_axes!, (Plots.Subplot{Plots.PyPlotBackend}, Symbol,))
+    precompile(Plots.call, (Type{Plots.GRBackend},))
+    precompile(Plots.unicodeplots, ())
+    precompile(Plots.rightpad, (Plots.GridLayout,))
+    precompile(Plots.call, (Type{Plots.PlotlyBackend},))
+    precompile(Plots.py_color, (ColorTypes.RGBA{Float64},))
+    precompile(Plots.toppad, (Plots.GridLayout,))
+    precompile(Plots.calc_edges, (Array{Float64, 1}, Int64,))
+    precompile(Plots.colorscheme, (ColorTypes.RGBA{Float64},))
+    precompile(Plots.slice_arg, (Int64, Int64,))
+    precompile(Plots.pyplot, ())
+    precompile(Plots._update_subplot_args, (Plots.Plot{Plots.PyPlotBackend}, Plots.Subplot{Plots.PyPlotBackend}, Base.Dict{Symbol, Any}, Int64,))
+    precompile(Plots._series_added, (Plots.Plot{Plots.PyPlotBackend}, Plots.Series,))
+    precompile(Plots.get_color_palette, (Array{ColorTypes.RGBA, 1}, ColorTypes.RGB{Float64}, Int64,))
+    precompile(Plots._initialize_subplot, (Plots.Plot{Plots.UnicodePlotsBackend}, Plots.Subplot{Plots.UnicodePlotsBackend},))
+    precompile(Plots.slice_arg, (Void, Int64,))
+    precompile(Plots.cycle, (Int64, Int64,))
+    precompile(Plots._initialize_subplot, (Plots.Plot{Plots.PyPlotBackend}, Plots.Subplot{Plots.PyPlotBackend},))
+    precompile(Plots.call, (Type{Plots.PyPlotBackend},))
+    precompile(Plots.update_child_bboxes!, (Plots.Subplot{Plots.PyPlotBackend}, Array{Measures.Length{:mm, Float64}, 1},))
+    precompile(Plots.filter_data, (Void, Array{Int64, 1},))
+    precompile(Plots.slice_arg, (Symbol, Int64,))
+    precompile(Plots.slice_arg, (ASCIIString, Int64,))
+    precompile(Plots.layout_args, (Plots.GridLayout,))
+    precompile(Plots.wraptuple, (Tuple{},))
+    precompile(Plots.calc_num_subplots, (Plots.EmptyLayout,))
+    precompile(Plots.wraptuple, (Tuple{Symbol, Float64, Plots.Stroke},))
+    precompile(Plots.wraptuple, (Tuple{ASCIIString, Tuple{Int64, Int64}, Base.StepRange{Int64, Int64}, Symbol},))
+    precompile(Plots.wraptuple, (Tuple{Int64, Symbol, Float64, Array{Symbol, 2}},))
+    precompile(Plots.wraptuple, (Tuple{Int64, Array{Symbol, 2}},))
+    precompile(Plots.wraptuple, (Tuple{ASCIIString, Symbol},))
+    precompile(Plots._replace_markershape, (Array{Symbol, 2},))
+    precompile(Plots.wraptuple, (Tuple{Symbol, Int64},))
+    precompile(Plots.wraptuple, (Tuple{Array{Symbol, 2}, Int64},))
+    precompile(Plots.wraptuple, (Tuple{Int64, Symbol, Symbol},))
+    precompile(Plots.wraptuple, (Tuple{Int64, Float64, Symbol, Plots.Stroke},))
+    precompile(Plots.wraptuple, (Tuple{Float64, Array{Symbol, 2}, Int64},))
+    precompile(Plots.py_color, (ColorTypes.RGB{Float64},))
+    precompile(Plots.wraptuple, (Tuple{Int64, Float64, Symbol},))
+    precompile(Plots.tovec, (Array{Float64, 1},))
+    precompile(Plots.get_subplot, (Plots.Plot{Plots.PyPlotBackend}, Plots.Subplot{Plots.PyPlotBackend},))
+    precompile(Plots.eltype, (Plots.Surface{Array{Float64, 2}},))
+    precompile(Plots.nobigs, (Array{Float64, 1},))
+    precompile(Plots.get_subplot, (Plots.Plot{Plots.UnicodePlotsBackend}, Plots.Subplot{Plots.UnicodePlotsBackend},))
+    precompile(Plots.annotations, (Array{Any, 1},))
+    precompile(Plots.wraptuple, (Tuple{Int64, Symbol},))
+    precompile(Plots.colorscheme, (Plots.ColorWrapper,))
+    precompile(Plots.colorscheme, (Plots.ColorGradient,))
+    precompile(Plots.text, (Plots.PlotText,))
+    precompile(Plots._replace_markershape, (Plots.Shape,))
+    precompile(Plots.wraptuple, (Tuple{Array{Symbol, 2}, Int64, Float64, Plots.Stroke},))
+    precompile(Plots.wraptuple, (Tuple{Plots.Shape, Int64, ColorTypes.RGBA{Float64}},))
 end
@@ -6,24 +6,21 @@
 # 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}}
+typealias FuncOrFuncs @compat(Union{Function, AVec{Function}})

-all3D(d::KW) = trueOrAllTrue(st -> st in (:contour, :contourf, :heatmap, :surface, :wireframe, :contour3d, :image, :plots_heatmap), get(d, :seriestype, :none))
-
-# unknown
-convertToAnyVector(x, d::KW) = error("No user recipe defined for $(typeof(x))")
+all3D(d::KW) = trueOrAllTrue(st -> st in (:contour, :contourf, :heatmap, :surface, :wireframe, :contour3d, :image), get(d, :seriestype, :none))

 # missing
-convertToAnyVector(v::Void, d::KW) = Any[nothing], nothing
+convertToAnyVector(v::@compat(Void), d::KW) = Any[nothing], nothing

 # fixed number of blank series
 convertToAnyVector(n::Integer, d::KW) = Any[zeros(0) for i in 1:n], nothing

 # numeric vector
-convertToAnyVector(v::AVec{T}, d::KW) where {T<:Number} = Any[v], nothing
+convertToAnyVector{T<:Number}(v::AVec{T}, d::KW) = Any[v], nothing

 # string vector
-convertToAnyVector(v::AVec{T}, d::KW) where {T<:AbstractString} = Any[v], nothing
+convertToAnyVector{T<:@compat(AbstractString)}(v::AVec{T}, d::KW) = Any[v], nothing

 function convertToAnyVector(v::AMat, d::KW)
    if all3D(d)
@@ -39,13 +36,10 @@ convertToAnyVector(f::Function, d::KW) = Any[f], nothing
 # surface
 convertToAnyVector(s::Surface, d::KW) = Any[s], nothing

-# volume
-convertToAnyVector(v::Volume, d::KW) = Any[v], nothing
-
 # # vector of OHLC
 # convertToAnyVector(v::AVec{OHLC}, d::KW) = Any[v], nothing

-# # dates
+# dates
 convertToAnyVector{D<:Union{Date,DateTime}}(dts::AVec{D}, d::KW) = Any[dts], nothing

 # list of things (maybe other vectors, functions, or something else)
@@ -99,8 +93,8 @@ nobigs(v) = v
 end

 # not allowed
-compute_xyz(x::Void, y::FuncOrFuncs{F}, z) where {F<:Function}       = error("If you want to plot the function `$y`, you need to define the x values!")
-compute_xyz(x::Void, y::Void, z::FuncOrFuncs{F}) where {F<:Function} = error("If you want to plot the function `$z`, you need to define x and y values!")
+compute_xyz(x::Void, y::FuncOrFuncs, z)       = error("If you want to plot the function `$y`, you need to define the x values!")
+compute_xyz(x::Void, y::Void, z::FuncOrFuncs) = error("If you want to plot the function `$z`, you need to define x and y values!")
 compute_xyz(x::Void, y::Void, z::Void)        = error("x/y/z are all nothing!")

 # --------------------------------------------------------------------
@@ -109,120 +103,63 @@ compute_xyz(x::Void, y::Void, z::Void)        = error("x/y/z are all nothing!")
 # we are going to build recipes to do the processing and splitting of the args

 # ensure we dispatch to the slicer
-struct SliceIt end
+immutable SliceIt end

 # the catch-all recipes
@recipe function f(::Type{SliceIt}, x, y, z)
+    # @show "HERE", typeof((x,y,z))
+    xs, _ = convertToAnyVector(x, d)
+    ys, _ = convertToAnyVector(y, d)
+    zs, _ = convertToAnyVector(z, d)

-    # handle data with formatting attached
-    if typeof(x) <: Formatted
-        xformatter := x.formatter
-        x = x.data
-    end
-    if typeof(y) <: Formatted
-        yformatter := y.formatter
-        y = y.data
-    end
-    if typeof(z) <: Formatted
-        zformatter := z.formatter
-        z = z.data
-    end
-
-    xs, _ = convertToAnyVector(x, plotattributes)
-    ys, _ = convertToAnyVector(y, plotattributes)
-    zs, _ = convertToAnyVector(z, plotattributes)
-
-    fr = pop!(plotattributes, :fillrange, nothing)
+    fr = pop!(d, :fillrange, nothing)
    fillranges, _ = if typeof(fr) <: Number
        ([fr],nothing)
    else
-        convertToAnyVector(fr, plotattributes)
+        convertToAnyVector(fr, d)
    end
    mf = length(fillranges)

-    rib = pop!(plotattributes, :ribbon, nothing)
-    ribbons, _ = if typeof(rib) <: Number
-        ([fr],nothing)
-    else
-        convertToAnyVector(rib, plotattributes)
-    end
-    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)
+    # ret = Any[]
+    for i in 1:max(mx, my, mz)
+        # add a new series
+        di = copy(d)
+        xi, yi, zi = xs[mod1(i,mx)], ys[mod1(i,my)], zs[mod1(i,mz)]
+        # @show i, typeof((xi, yi, zi))
+        di[:x], di[:y], di[:z] = compute_xyz(xi, yi, zi)
+        # @show i, typeof((di[:x], di[:y], di[:z]))

-            # handle fillrange
-            fr = fillranges[mod1(i,mf)]
-            di[:fillrange] = isa(fr, Function) ? map(fr, di[:x]) : fr
+        # 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
+        # @show i, di[:x], di[:y], di[:z]
+        push!(series_list, RecipeData(di, ()))
    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
+@recipe f{T<:Any}(::Type{T}, v::T) = 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.")
+@recipe f{V<:Val}(::Type{V}, x, y, z) = error("The backend must not support the series type $V, and there isn't a series recipe defined.")

 _apply_type_recipe(d, v) = RecipesBase.apply_recipe(d, typeof(v), v)[1].args[1]

-# Handle type recipes when the recipe is defined on the elements.
-# This sort of recipe should return a pair of functions... one to convert to number,
-# and one to format tick values.
-function _apply_type_recipe(d, v::AbstractArray)
-    isempty(v) && return Float64[]
-    args = RecipesBase.apply_recipe(d, typeof(v[1]), v[1])[1].args
-    if length(args) == 2 && typeof(args[1]) <: Function && typeof(args[2]) <: Function
-        numfunc, formatter = args
-        Formatted(map(numfunc, v), formatter)
-    else
-        v
-    end
-end
-
-# # special handling for Surface... need to properly unwrap and re-wrap
-# function _apply_type_recipe(d, v::Surface)
-#     T = eltype(v.surf)
-#     @show T
-#     if T <: Integer || T <: AbstractFloat
-#         v
-#     else
-#         ret = _apply_type_recipe(d, v.surf)
-#         if typeof(ret) <: Formatted
-#             Formatted(Surface(ret.data), ret.formatter)
-#         else
-#             v
-#         end
-#     end
-# end
-
-# don't do anything for ints or floats
-_apply_type_recipe(d, v::AbstractArray{T}) where {T<:Union{Integer,AbstractFloat}} = v
-
 # handle "type recipes" by converting inputs, and then either re-calling or slicing
@recipe function f(x, y, z)
    did_replace = false
-    newx = _apply_type_recipe(plotattributes, x)
+    newx = _apply_type_recipe(d, x)
    x === newx || (did_replace = true)
-    newy = _apply_type_recipe(plotattributes, y)
+    newy = _apply_type_recipe(d, y)
    y === newy || (did_replace = true)
-    newz = _apply_type_recipe(plotattributes, z)
+    newz = _apply_type_recipe(d, z)
    z === newz || (did_replace = true)
    if did_replace
        newx, newy, newz
@@ -232,9 +169,9 @@ _apply_type_recipe(d, v::AbstractArray{T}) where {T<:Union{Integer,AbstractFloat
 end
@recipe function f(x, y)
    did_replace = false
-    newx = _apply_type_recipe(plotattributes, x)
+    newx = _apply_type_recipe(d, x)
    x === newx || (did_replace = true)
-    newy = _apply_type_recipe(plotattributes, y)
+    newy = _apply_type_recipe(d, y)
    y === newy || (did_replace = true)
    if did_replace
        newx, newy
@@ -243,7 +180,7 @@ end
    end
 end
@recipe function f(y)
-    newy = _apply_type_recipe(plotattributes, y)
+    newy = _apply_type_recipe(d, y)
    if y !== newy
        newy
    else
@@ -256,7 +193,7 @@ end
@recipe function f(v1, v2, v3, v4, vrest...)
    did_replace = false
    newargs = map(v -> begin
-        newv = _apply_type_recipe(plotattributes, v)
+        newv = _apply_type_recipe(d, v)
        if newv !== v
            did_replace = true
        end
@@ -273,60 +210,29 @@ end
 # # 1 argument
 # # --------------------------------------------------------------------

-# helper function to ensure relevant attributes are wrapped by Surface
-function wrap_surfaces(d::KW)
-    if haskey(d, :fill_z)
-        v = d[:fill_z]
-        if !isa(v, Surface)
-            d[:fill_z] = Surface(v)
-        end
-    end
-end
-
-@recipe f(n::Integer) = is3d(get(plotattributes,:seriestype,:path)) ? (SliceIt, n, n, n) : (SliceIt, n, n, nothing)
+@recipe f(n::Integer) = n, n, n

 # 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}
-    if all3D(plotattributes)
+@recipe function f{T<:Number}(mat::AMat{T})
+    if all3D(d)
        n,m = size(mat)
-        wrap_surfaces(plotattributes)
        SliceIt, 1:m, 1:n, Surface(mat)
    else
        SliceIt, nothing, mat, nothing
    end
 end

-# if a matrix is wrapped by Formatted, do similar logic, but wrap data with Surface
-@recipe function f(fmt::Formatted{T}) where T<:AbstractMatrix
-    if all3D(plotattributes)
-        mat = fmt.data
-        n,m = size(mat)
-        wrap_surfaces(plotattributes)
-        SliceIt, 1:m, 1:n, Formatted(Surface(mat), fmt.formatter)
-    else
-        SliceIt, nothing, fmt, nothing
-    end
-end
-
-# assume this is a Volume, so construct one
-@recipe function f(vol::AbstractArray{T,3}, args...) where T<:Number
-    seriestype := :volume
-    SliceIt, nothing, Volume(vol, args...), nothing
-end
-

 # # images - grays

-@recipe function f(mat::AMat{T}) where T<:Gray
-    n, m = size(mat)
-    if is_seriestype_supported(:image)
+@recipe function f{T<:Gray}(mat::AMat{T})
+    if nativeImagesSupported()
        seriestype := :image
-        yflip --> true
+        n, m = size(mat)
        SliceIt, 1:m, 1:n, Surface(mat)
    else
        seriestype := :heatmap
        yflip --> true
-        cbar --> false
        fillcolor --> ColorGradient([:black, :white])
        SliceIt, 1:m, 1:n, Surface(convert(Matrix{Float64}, mat))
    end
@@ -334,18 +240,15 @@ end

 # # images - colors

-@recipe function f(mat::AMat{T}) where T<:Colorant
-	n, m = size(mat)
-
-    if is_seriestype_supported(:image)
+@recipe function f{T<:Colorant}(mat::AMat{T})
+    if nativeImagesSupported()
        seriestype := :image
-        yflip --> true
+        n, m = size(mat)
        SliceIt, 1:m, 1:n, Surface(mat)
    else
        seriestype := :heatmap
        yflip --> true
-        cbar --> false
-        z, plotattributes[:fillcolor] = replace_image_with_heatmap(mat)
+        z, d[:fillcolor] = replace_image_with_heatmap(mat)
        SliceIt, 1:m, 1:n, Surface(z)
    end
 end
@@ -355,55 +258,30 @@ end

@recipe function f(shape::Shape)
    seriestype --> :shape
-    coords(shape)
+    shape_coords(shape)
 end

@recipe function f(shapes::AVec{Shape})
    seriestype --> :shape
-    coords(shapes)
+    shape_coords(shapes)
 end

@recipe function f(shapes::AMat{Shape})
    seriestype --> :shape
    for j in 1:size(shapes,2)
-        @series coords(vec(shapes[:,j]))
+        @series shape_coords(vec(shapes[:,j]))
    end
 end

+#
+#
+# # function without range... use the current range of the x-axis

+# @recipe function f(f::FuncOrFuncs)
+#     plt = d[:plot_object]
+#     f, xmin(plt), xmax(plt)
+# end

-# function without range... use the current range of the x-axis
-
-@recipe function f(f::FuncOrFuncs{F}) where F<:Function
-    plt = plotattributes[:plot_object]
-    xmin, xmax = try
-        axis_limits(plt[1][:xaxis])
-    catch
-        xm = tryrange(f, [-5,-1,0,0.01])
-        xm, tryrange(f, filter(x->x>xm, [5,1,0.99, 0, -0.01]))
-    end
-
-    f, xmin, xmax
-end
-
-# try some intervals over which the function may be defined
-function tryrange(F::AbstractArray, vec)
-    rets = [tryrange(f, vec) for f in F] # get the preferred for each
-    maxind = maximum(indexin(rets, vec)) # get the last attempt that succeeded (most likely to fit all)
-    rets .= [tryrange(f, vec[maxind:maxind]) for f in F] # ensure that all functions compute there
-    rets[1]
-end
-
-function tryrange(F, vec)
-    for v in vec
-        try
-            tmp = F(v)
-            return v
-        catch
-        end
-    end
-    error("$F is not a Function, or is not defined at any of the values $vec")
-end
 #
 # # --------------------------------------------------------------------
 # # 2 arguments
@@ -413,9 +291,8 @@ end
 # # if functions come first, just swap the order (not to be confused with parametric functions...
 # # as there would be more than one function passed in)

-@recipe function f(f::FuncOrFuncs{F}, x) where F<:Function
-    F2 = typeof(x)
-    @assert !(F2 <: Function || (F2 <: AbstractArray && F2.parameters[1] <: Function))  # otherwise we'd hit infinite recursion here
+@recipe function f(f::FuncOrFuncs, x)
+    @assert !(typeof(x) <: FuncOrFuncs)  # otherwise we'd hit infinite recursion here
    x, f
 end

@@ -444,7 +321,6 @@ end
    #         seriestype := :path3d
    #     end
    # end
-    wrap_surfaces(plotattributes)
    SliceIt, x, y, z
 end

@@ -454,7 +330,6 @@ end
@recipe function f(x::AVec, y::AVec, zf::Function)
    # x = X <: Number ? sort(x) : x
    # y = Y <: Number ? sort(y) : y
-    wrap_surfaces(plotattributes)
    SliceIt, x, y, Surface(zf, x, y)  # TODO: replace with SurfaceFunction when supported
 end

@@ -462,45 +337,12 @@ end
 # # surface-like... matrix grid

@recipe function f(x::AVec, y::AVec, z::AMat)
-    if !like_surface(get(plotattributes, :seriestype, :none))
-        plotattributes[:seriestype] = :contour
+    if !like_surface(get(d, :seriestype, :none))
+        d[:seriestype] = :contour
    end
-    wrap_surfaces(plotattributes)
    SliceIt, x, y, Surface(z)
 end

-# # images - grays
-
-@recipe function f(x::AVec, y::AVec, mat::AMat{T}) where T<:Gray
-    if is_seriestype_supported(:image)
-        seriestype := :image
-        yflip --> true
-        SliceIt, x, y, Surface(mat)
-    else
-        seriestype := :heatmap
-        yflip --> true
-        cbar --> false
-        fillcolor --> ColorGradient([:black, :white])
-        SliceIt, x, y, Surface(convert(Matrix{Float64}, mat))
-    end
-end
-
-# # images - colors
-
-@recipe function f(x::AVec, y::AVec, mat::AMat{T}) where T<:Colorant
-    if is_seriestype_supported(:image)
-        seriestype := :image
-        yflip --> true
-        SliceIt, x, y, Surface(mat)
-    else
-        seriestype := :heatmap
-        yflip --> true
-        cbar --> false
-        z, plotattributes[:fillcolor] = replace_image_with_heatmap(mat)
-        SliceIt, x, y, Surface(z)
-    end
-end
-
 #
 #
 # # --------------------------------------------------------------------
@@ -509,23 +351,16 @@ end

 #
 # # special handling... xmin/xmax with parametric function(s)
-@recipe function f(f::Function, xmin::Number, xmax::Number)
-    xs = adapted_grid(f, (xmin, xmax))
-    xs, f
-end
-@recipe function f(fs::AbstractArray{F}, xmin::Number, xmax::Number) where F<:Function
-    xs = Any[adapted_grid(f, (xmin, xmax)) for f in fs]
-    xs, fs
-end
-@recipe f(fx::FuncOrFuncs{F}, fy::FuncOrFuncs{G}, u::AVec) where {F<:Function,G<:Function}  = mapFuncOrFuncs(fx, u), mapFuncOrFuncs(fy, u)
-@recipe f(fx::FuncOrFuncs{F}, fy::FuncOrFuncs{G}, umin::Number, umax::Number, n = 200) where {F<:Function,G<:Function} = fx, fy, linspace(umin, umax, n)
+@recipe f(f::FuncOrFuncs, xmin::Number, xmax::Number) = linspace(xmin, xmax, 100), f
+@recipe f(fx::FuncOrFuncs, fy::FuncOrFuncs, u::AVec)  = mapFuncOrFuncs(fx, u), mapFuncOrFuncs(fy, u)
+@recipe f(fx::FuncOrFuncs, fy::FuncOrFuncs, umin::Number, umax::Number, n = 200) = fx, fy, linspace(umin, umax, n)

 #
 # # special handling... 3D parametric function(s)
-@recipe function f(fx::FuncOrFuncs{F}, fy::FuncOrFuncs{G}, fz::FuncOrFuncs{H}, u::AVec) where {F<:Function,G<:Function,H<:Function}
+@recipe function f(fx::FuncOrFuncs, fy::FuncOrFuncs, fz::FuncOrFuncs, u::AVec)
    mapFuncOrFuncs(fx, u), mapFuncOrFuncs(fy, u), mapFuncOrFuncs(fz, u)
 end
-@recipe function f(fx::FuncOrFuncs{F}, fy::FuncOrFuncs{G}, fz::FuncOrFuncs{H}, umin::Number, umax::Number, numPoints = 200) where {F<:Function,G<:Function,H<:Function}
+@recipe function f(fx::FuncOrFuncs, fy::FuncOrFuncs, fz::FuncOrFuncs, umin::Number, umax::Number, numPoints = 200)
    fx, fy, fz, linspace(umin, umax, numPoints)
 end

@@ -540,28 +375,28 @@ end

 #
 # # (x,y) tuples
-@recipe f(xy::AVec{Tuple{R1,R2}}) where {R1<:Number,R2<:Number} = unzip(xy)
-@recipe f(xy::Tuple{R1,R2}) where {R1<:Number,R2<:Number}       = [xy[1]], [xy[2]]
+@recipe f{R1<:Number,R2<:Number}(xy::AVec{Tuple{R1,R2}}) = unzip(xy)
+@recipe f{R1<:Number,R2<:Number}(xy::Tuple{R1,R2})       = [xy[1]], [xy[2]]

 #
 # # (x,y,z) tuples
-@recipe f(xyz::AVec{Tuple{R1,R2,R3}}) where {R1<:Number,R2<:Number,R3<:Number} = unzip(xyz)
-@recipe f(xyz::Tuple{R1,R2,R3}) where {R1<:Number,R2<:Number,R3<:Number}       = [xyz[1]], [xyz[2]], [xyz[3]]
+@recipe f{R1<:Number,R2<:Number,R3<:Number}(xyz::AVec{Tuple{R1,R2,R3}}) = unzip(xyz)
+@recipe f{R1<:Number,R2<:Number,R3<:Number}(xyz::Tuple{R1,R2,R3})       = [xyz[1]], [xyz[2]], [xyz[3]]

 # these might be points+velocity, or OHLC or something else
-@recipe f(xyuv::AVec{Tuple{R1,R2,R3,R4}}) where {R1<:Number,R2<:Number,R3<:Number,R4<:Number} = get(plotattributes,:seriestype,:path)==:ohlc ? OHLC[OHLC(t...) for t in xyuv] : unzip(xyuv)
-@recipe f(xyuv::Tuple{R1,R2,R3,R4}) where {R1<:Number,R2<:Number,R3<:Number,R4<:Number}       = [xyuv[1]], [xyuv[2]], [xyuv[3]], [xyuv[4]]
+@recipe f{R1<:Number,R2<:Number,R3<:Number,R4<:Number}(xyuv::AVec{Tuple{R1,R2,R3,R4}}) = get(d,:seriestype,:path)==:ohlc ? OHLC[OHLC(t...) for t in xyuv] : unzip(xyuv)
+@recipe f{R1<:Number,R2<:Number,R3<:Number,R4<:Number}(xyuv::Tuple{R1,R2,R3,R4})       = [xyuv[1]], [xyuv[2]], [xyuv[3]], [xyuv[4]]


 #
 # # 2D FixedSizeArrays
-@recipe f(xy::AVec{FixedSizeArrays.Vec{2,T}}) where {T<:Number} = unzip(xy)
-@recipe f(xy::FixedSizeArrays.Vec{2,T}) where {T<:Number}       = [xy[1]], [xy[2]]
+@recipe f{T<:Number}(xy::AVec{FixedSizeArrays.Vec{2,T}}) = unzip(xy)
+@recipe f{T<:Number}(xy::FixedSizeArrays.Vec{2,T})       = [xy[1]], [xy[2]]

 #
 # # 3D FixedSizeArrays
-@recipe f(xyz::AVec{FixedSizeArrays.Vec{3,T}}) where {T<:Number} = unzip(xyz)
-@recipe f(xyz::FixedSizeArrays.Vec{3,T}) where {T<:Number}       = [xyz[1]], [xyz[2]], [xyz[3]]
+@recipe f{T<:Number}(xyz::AVec{FixedSizeArrays.Vec{3,T}}) = unzip(xyz)
+@recipe f{T<:Number}(xyz::FixedSizeArrays.Vec{3,T})       = [xyz[1]], [xyz[2]], [xyz[3]]

 #
 # # --------------------------------------------------------------------
@@ -581,69 +416,14 @@ end
 #     nothing
 # end

-splittable_kw(key, val, lengthGroup) = false
-splittable_kw(key, val::AbstractArray, lengthGroup) = (key != :group) && size(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)
-
-split_kw(key, val::AbstractArray, indices) = val[indices, fill(Colon(), ndims(val)-1)...]
-split_kw(key, val::Tuple, indices) = Tuple(split_kw(key, v, indices) for v in val)
-function split_kw(key, val::SeriesAnnotations, indices)
-    split_strs = split_kw(key, val.strs, indices)
-    return SeriesAnnotations(split_strs, val.font, val.baseshape, val.scalefactor)
-end
-
-function groupedvec2mat(x_ind, x, y::AbstractArray, groupby, def_val = y[1])
-    y_mat = Array{promote_type(eltype(y), typeof(def_val))}(length(keys(x_ind)), length(groupby.groupLabels))
-    fill!(y_mat, def_val)
-    for i in 1:length(groupby.groupLabels)
-        xi = x[groupby.groupIds[i]]
-        yi = y[groupby.groupIds[i]]
-        y_mat[getindex.(x_ind, xi), i] = yi
-    end
-    return y_mat
-end
-
-groupedvec2mat(x_ind, x, y::Tuple, groupby) = Tuple(groupedvec2mat(x_ind, x, v, groupby) for v in y)
-
-group_as_matrix(t) = false
-
 # split the group into 1 series per group, and set the label and idxfilter for each
@recipe function f(groupby::GroupBy, args...)
-    lengthGroup = maximum(union(groupby.groupIds...))
-    if !(group_as_matrix(args[1]))
-        for (i,glab) in enumerate(groupby.groupLabels)
-            @series begin
-                label     --> string(glab)
-                idxfilter --> groupby.groupIds[i]
-                for (key,val) in plotattributes
-                    if splittable_kw(key, val, lengthGroup)
-                        :($key) := split_kw(key, val, groupby.groupIds[i])
-                    end
-                end
-                args
-            end
+    for (i,glab) in enumerate(groupby.groupLabels)
+        @series begin
+            label     --> string(glab)
+            idxfilter --> groupby.groupIds[i]
+            args
        end
-    else
-        g = args[1]
-        if length(g.args) == 1
-            x = zeros(Int, lengthGroup)
-            for indexes in groupby.groupIds
-                x[indexes] = 1:length(indexes)
-            end
-            last_args = g.args
-        else
-            x = g.args[1]
-            last_args = g.args[2:end]
-        end
-        x_u = unique(x)
-        x_ind = Dict(zip(x_u, 1:length(x_u)))
-        for (key,val) in plotattributes
-            if splittable_kw(key, val, lengthGroup)
-                :($key) := groupedvec2mat(x_ind, x, val, groupby)
-            end
-        end
-        label --> reshape(groupby.groupLabels, 1, :)
-        typeof(g)((x_u, (groupedvec2mat(x_ind, x, arg, groupby, NaN) for arg in last_args)...))
    end
 end
+
@@ -1,9 +1,8 @@


-function Subplot(::T; parent = RootLayout()) where T<:AbstractBackend
+function Subplot{T<:AbstractBackend}(::T; parent = RootLayout())
    Subplot{T}(
        parent,
-        Series[],
        (20mm, 5mm, 2mm, 10mm),
        defaultbox,
        defaultbox,
@@ -13,11 +12,6 @@ function Subplot(::T; parent = RootLayout()) where T<:AbstractBackend
    )
 end

-"""
-    plotarea(subplot)
-
-Return the bounding box of a subplot
-"""
 plotarea(sp::Subplot) = sp.plotarea
 plotarea!(sp::Subplot, bbox::BoundingBox) = (sp.plotarea = bbox)

@@ -37,14 +31,14 @@ get_subplot(plt::Plot, k) = plt.spmap[k]
 get_subplot(series::Series) = series.d[:subplot]

 get_subplot_index(plt::Plot, idx::Integer) = Int(idx)
-get_subplot_index(plt::Plot, sp::Subplot) = findfirst(x -> x === sp, plt.subplots)
+get_subplot_index(plt::Plot, sp::Subplot) = findfirst(_ -> _ === sp, plt.subplots)

-series_list(sp::Subplot) = sp.series_list # filter(series -> series.d[:subplot] === sp, sp.plt.series_list)
+series_list(sp::Subplot) = filter(series -> series.d[:subplot] === sp, sp.plt.series_list)

 function should_add_to_legend(series::Series)
    series.d[:primary] && series.d[:label] != "" &&
        !(series.d[:seriestype] in (
-            :hexbin,:bins2d,:histogram2d,:hline,:vline,
+            :hexbin,:histogram2d,:hline,:vline,
            :contour,:contourf,:contour3d,:surface,:wireframe,
            :heatmap, :pie, :image
        ))
@@ -1,168 +1,65 @@
-"""
-    theme(s::Symbol)

-Specify the colour theme for plots.
-"""
-function theme(s::Symbol; kw...)
-    defaults = _get_defaults(s)
-    _theme(s, defaults; kw...)
-end
+const _invisible = RGBA(0,0,0,0)

-function _get_defaults(s::Symbol)
-    thm = PlotThemes._themes[s]
-    if :defaults in fieldnames(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...)
-    # Reset to defaults to overwrite active theme
-    reset_defaults()
-
-    # Set the theme's gradient as default
-    if haskey(defaults, :gradient)
-        PlotUtils.clibrary(:misc)
-        PlotUtils.default_cgrad(default = :sequential, sequential = PlotThemes.gradient_name(s))
-    else
-        PlotUtils.clibrary(:Plots)
-        PlotUtils.default_cgrad(default = :sequential, sequential = :inferno)
-    end
-
-    # maybe overwrite the theme's gradient
-    kw = KW(kw)
-    if haskey(kw, :gradient)
-        kwgrad = pop!(kw, :gradient)
-        for clib in clibraries()
-            if kwgrad in cgradients(clib)
-                PlotUtils.clibrary(clib)
-                PlotUtils.default_cgrad(default = :sequential, sequential = kwgrad)
-                break
-            end
-        end
-    end
-
-    # Set the theme's defaults
-    default(; defaults..., kw...)
-    return
-end
-
-@deprecate set_theme(s) theme(s)
-
-@userplot ShowTheme
-
-_color_functions = KW(
-    :protanopic => protanopic,
-    :deuteranopic => deuteranopic,
-    :tritanopic => tritanopic,
+const _themes = KW(
+    :default => KW(
+        :bg         => :white,
+        :bglegend   => :match,
+        :bginside   => :match,
+        :bgoutside  => :match,
+        :fg         => :auto,
+        :fglegend   => :match,
+        :fggrid     => :match,
+        :fgaxis     => :match,
+        :fgtext     => :match,
+        :fgborder   => :match,
+        :fgguide    => :match,
+    )
 )
-_get_showtheme_args(thm::Symbol) = thm, identity
-_get_showtheme_args(thm::Symbol, func::Symbol) = thm, get(_color_functions, func, identity)
-
-@recipe function showtheme(st::ShowTheme)
-    thm, cfunc = _get_showtheme_args(st.args...)
-    defaults = _get_defaults(thm)
-
-    # get the gradient
-    gradient_colors = get(defaults, :gradient, cgrad(:inferno).colors)
-    gradient = cgrad(cfunc.(RGB.(gradient_colors)))
-
-    # get the palette
-    palette = get(defaults, :palette, get_color_palette(:auto, plot_color(:white), 17))
-    palette = cfunc.(RGB.(palette))
-
-    # apply the theme
-    for k in keys(defaults)
-        k in (:gradient, :palette) && continue
-        def = defaults[k]
-        arg = get(_keyAliases, k, k)
-        plotattributes[arg] = if typeof(def) <: Colorant
-            cfunc(RGB(def))
-        elseif eltype(def) <: Colorant
-            cfunc.(RGB.(def))
-        elseif contains(string(arg), "color")
-            cfunc.(RGB.(plot_color.(def)))
-        else
-            def
-        end
-    end
-
-    srand(1)
-
-    label := ""
-    colorbar := false
-    layout := (2, 3)
-
-    for j in 1:4
-        @series begin
-            subplot := 1
-            palette := palette
-            seriestype := :path
-            cumsum(randn(50))
-        end
-
-        @series begin
-            subplot := 2
-            seriestype := :scatter
-            palette := palette
-            marker := (:circle, :diamond, :star5, :square)[j]
-            randn(10), randn(10)
-        end
-    end
-
-    @series begin
-        subplot := 3
-        seriestype := :histogram
-        palette := palette
-        randn(1000) .+ (0:2:4)'
-    end
-
-    f(r) = sin(r) / r
-    _norm(x, y) = norm([x, y])
-    x = y = linspace(-3π, 3π, 30)
-    z = f.(_norm.(x, y'))
-    wi = 2:3:30
-
-    @series begin
-        subplot := 4
-        seriestype := :heatmap
-        seriescolor := gradient
-        ticks := -5:5:5
-        x, y, z
-    end
-
-    @series begin
-        subplot := 5
-        seriestype := :surface
-        seriescolor := gradient
-        x, y, z
-    end
-
-    n = 100
-    ts = linspace(0, 10π, n)
-    x = ts .* cos.(ts)
-    y = (0.1ts) .* sin.(ts)
-    z = 1:n
-
-    @series begin
-        subplot := 6
-        seriescolor := gradient
-        linewidth := 3
-        line_z := z
-        x, y, z
-    end

+function add_theme(sym::Symbol, theme::KW)
+    _themes[sym] = theme
+end
+
+# add a new theme, using an existing theme as the base
+function add_theme(sym::Symbol;
+                   base      = :default,  # start with this theme
+                   bg        = _themes[base][:bg],
+                   bglegend  = _themes[base][:bglegend],
+                   bginside  = _themes[base][:bginside],
+                   bgoutside = _themes[base][:bgoutside],
+                   fg        = _themes[base][:fg],
+                   fglegend  = _themes[base][:fglegend],
+                   fggrid    = _themes[base][:fggrid],
+                   fgaxis    = _themes[base][:fgaxis],
+                   fgtext    = _themes[base][:fgtext],
+                   fgborder  = _themes[base][:fgborder],
+                   fgguide   = _themes[base][:fgguide],
+                   kw...)
+    _themes[sym] = merge(KW(
+        :bg => bg,
+        :bglegend  => bglegend,
+        :bginside  => bginside,
+        :bgoutside => bgoutside,
+        :fg        => fg,
+        :fglegend  => fglegend,
+        :fggrid    => fggrid,
+        :fgaxis    => fgaxis,
+        :fgtext    => fgtext,
+        :fgborder  => fgborder,
+        :fgguide   => fgguide,
+    ), KW(kw))
+end
+
+add_theme(:ggplot2,
+    bglegend = _invisible,
+    bginside = :lightgray,
+    fg       = :white,
+    fglegend = _invisible,
+    fgtext   = :gray,
+    fgguide  = :black
+)
+
+function set_theme(sym::Symbol)
+    default(; _themes[sym]...)
 end
@@ -2,36 +2,30 @@
 # TODO: I declare lots of types here because of the lacking ability to do forward declarations in current Julia
 # I should move these to the relevant files when something like "extern" is implemented

-const AVec = AbstractVector
-const AMat = AbstractMatrix
-const KW = Dict{Symbol,Any}
+typealias AVec AbstractVector
+typealias AMat AbstractMatrix
+typealias KW Dict{Symbol,Any}

-struct PlotsDisplay <: Display end
+immutable PlotsDisplay <: Display end
+
+abstract AbstractBackend
+abstract AbstractPlot{T<:AbstractBackend}
+abstract AbstractLayout

 # -----------------------------------------------------------

-struct InputWrapper{T}
+immutable InputWrapper{T}
    obj::T
 end
-wrap(obj::T) where {T} = InputWrapper{T}(obj)
+wrap{T}(obj::T) = InputWrapper{T}(obj)
 Base.isempty(wrapper::InputWrapper) = false


-# -----------------------------------------------------------
-
-mutable struct Series
-    d::KW
-end
-
-attr(series::Series, k::Symbol) = series.d[k]
-attr!(series::Series, v, k::Symbol) = (series.d[k] = v)
-
 # -----------------------------------------------------------

 # a single subplot
-mutable struct Subplot{T<:AbstractBackend} <: AbstractLayout
+type Subplot{T<:AbstractBackend} <: AbstractLayout
    parent::AbstractLayout
-    series_list::Vector{Series}  # arguments for each series
    minpad::Tuple # leftpad, toppad, rightpad, bottompad
    bbox::BoundingBox  # the canvas area which is available to this subplot
    plotarea::BoundingBox  # the part where the data goes
@@ -40,17 +34,15 @@ mutable struct Subplot{T<:AbstractBackend} <: AbstractLayout
    plt  # the enclosing Plot object (can't give it a type because of no forward declarations)
 end

-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}
+type Axis
+    sp::Subplot
    d::KW
 end

-mutable struct Extrema
+type Extrema
    emin::Float64
    emax::Float64
 end
@@ -58,12 +50,20 @@ Extrema() = Extrema(Inf, -Inf)

 # -----------------------------------------------------------

-const SubplotMap = Dict{Any, Subplot}
+typealias SubplotMap Dict{Any, Subplot}

 # -----------------------------------------------------------

+type Series
+    d::KW
+end

-mutable struct Plot{T<:AbstractBackend} <: AbstractPlot{T}
+attr(series::Series, k::Symbol) = series.d[k]
+attr!(series::Series, v, k::Symbol) = (series.d[k] = v)
+
+# -----------------------------------------------------------
+
+type Plot{T<:AbstractBackend} <: AbstractPlot{T}
    backend::T                   # the backend type
    n::Int                       # number of series
    attr::KW                     # arguments for the whole plot
@@ -86,18 +86,10 @@ end
 # -----------------------------------------------------------------------

 Base.getindex(plt::Plot, i::Integer) = plt.subplots[i]
-Base.length(plt::Plot) = length(plt.subplots)
-Base.endof(plt::Plot) = length(plt)
-
 Base.getindex(plt::Plot, r::Integer, c::Integer) = plt.layout[r,c]
-Base.size(plt::Plot) = size(plt.layout)
-Base.size(plt::Plot, i::Integer) = size(plt.layout)[i]
-Base.ndims(plt::Plot) = 2
-
 # attr(plt::Plot, k::Symbol) = plt.attr[k]
 # attr!(plt::Plot, v, k::Symbol) = (plt.attr[k] = v)

 Base.getindex(sp::Subplot, i::Integer) = series_list(sp)[i]
-Base.endof(sp::Subplot) = length(series_list(sp))

 # -----------------------------------------------------------------------
@@ -3,7 +3,7 @@ calcMidpoints(edges::AbstractVector) = Float64[0.5 * (edges[i] + edges[i+1]) for

 "Make histogram-like bins of data"
 function binData(data, nbins)
-  lo, hi = ignorenan_extrema(data)
+  lo, hi = extrema(data)
  edges = collect(linspace(lo, hi, nbins+1))
  midpoints = calcMidpoints(edges)
  buckets = Int[max(2, min(searchsortedfirst(edges, x), length(edges)))-1 for x in data]
@@ -109,12 +109,12 @@ function regressionXY(x, y)
  β, α = convert(Matrix{Float64}, [x ones(length(x))]) \ convert(Vector{Float64}, y)

  # make a line segment
-  regx = [ignorenan_minimum(x), ignorenan_maximum(x)]
+  regx = [minimum(x), maximum(x)]
  regy = β * regx + α
  regx, regy
 end

-function replace_image_with_heatmap(z::Array{T}) where T<:Colorant
+function replace_image_with_heatmap{T<:Colorant}(z::Array{T})
    @show T, size(z)
    n, m = size(z)
    # idx = 0
@@ -131,21 +131,21 @@ function replace_image_with_heatmap(z::Array{T}) where T<:Colorant
 end

 function imageHack(d::KW)
-    is_seriestype_supported(:heatmap) || error("Neither :image or :heatmap are supported!")
+    :heatmap in supported_types() || error("Neither :image or :heatmap are supported!")
    d[:seriestype] = :heatmap
    d[:z], d[:fillcolor] = replace_image_with_heatmap(d[:z].surf)
 end
 # ---------------------------------------------------------------

-"Build line segments for plotting"
-mutable struct Segments{T}
+
+type Segments{T}
    pts::Vector{T}
 end

 # Segments() = Segments{Float64}(zeros(0))

 Segments() = Segments(Float64)
-Segments(::Type{T}) where {T} = Segments(T[])
+Segments{T}(::Type{T}) = Segments(T[])
 Segments(p::Int) = Segments(NTuple{2,Float64}[])


@@ -157,7 +157,7 @@ to_nan(::Type{NTuple{2,Float64}}) = (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]

-function Base.push!(segments::Segments{T}, vs...) where T
+function Base.push!{T}(segments::Segments{T}, vs...)
    if !isempty(segments.pts)
        push!(segments.pts, to_nan(T))
    end
@@ -167,7 +167,7 @@ function Base.push!(segments::Segments{T}, vs...) where T
    segments
 end

-function Base.push!(segments::Segments{T}, vs::AVec) where T
+function Base.push!{T}(segments::Segments{T}, vs::AVec)
    if !isempty(segments.pts)
        push!(segments.pts, to_nan(T))
    end
@@ -181,43 +181,24 @@ end
 # -----------------------------------------------------
 # helper to manage NaN-separated segments

-mutable struct SegmentsIterator
+type SegmentsIterator
    args::Tuple
    n::Int
 end
-
 function iter_segments(args...)
    tup = Plots.wraptuple(args)
    n = maximum(map(length, tup))
    SegmentsIterator(tup, n)
 end

-function iter_segments(series::Series)
-    x, y, z = series[:x], series[:y], series[:z]
-    if has_attribute_segments(series)
-        if series[:seriestype] in (:scatter, :scatter3d)
-            return [[i] for i in 1:length(y)]
-        else
-            return [i:(i + 1) for i in 1:(length(y) - 1)]
-        end
-    else
-        segs = UnitRange{Int}[]
-        args = is3d(series) ? (x, y, z) : (x, y)
-        for seg in iter_segments(args...)
-            push!(segs, seg)
-        end
-        return segs
-    end
-end
-
 # helpers to figure out if there are NaN values in a list of array types
-anynan(i::Int, args::Tuple) = any(a -> try isnan(_cycle(a,i)) catch MethodError false end, args)
+anynan(i::Int, args::Tuple) = any(a -> !isfinite(cycle(a,i)), args)
 anynan(istart::Int, iend::Int, args::Tuple) = any(i -> anynan(i, args), istart:iend)
 allnan(istart::Int, iend::Int, args::Tuple) = all(i -> anynan(i, args), istart:iend)

 function Base.start(itr::SegmentsIterator)
    nextidx = 1
-    if !any(isempty,itr.args) && anynan(1, itr.args)
+    if anynan(1, itr.args)
        _, nextidx = next(itr, 1)
    end
    nextidx
@@ -247,71 +228,61 @@ function Base.next(itr::SegmentsIterator, nextidx::Int)
    istart:iend, i
 end

-# Find minimal type that can contain NaN and x
-# To allow use of NaN separated segments with categorical x axis
-
-float_extended_type(x::AbstractArray{T}) where {T} = Union{T,Float64}
-float_extended_type(x::AbstractArray{T}) where {T<:Real} = Float64
-
 # ------------------------------------------------------------------------------------


 nop() = nothing
 notimpl() = error("This has not been implemented yet")

-isnothing(x::Void) = true
-isnothing(x) = false
+Base.cycle(wrapper::InputWrapper, idx::Int) = wrapper.obj
+Base.cycle(wrapper::InputWrapper, idx::AVec{Int}) = wrapper.obj

-_cycle(wrapper::InputWrapper, idx::Int) = wrapper.obj
-_cycle(wrapper::InputWrapper, idx::AVec{Int}) = wrapper.obj
+Base.cycle(v::AVec, idx::Int) = v[mod1(idx, length(v))]
+Base.cycle(v::AMat, idx::Int) = size(v,1) == 1 ? v[1, mod1(idx, size(v,2))] : v[:, mod1(idx, size(v,2))]
+Base.cycle(v, idx::Int)       = v

-_cycle(v::AVec, idx::Int) = v[mod1(idx, length(v))]
-_cycle(v::AMat, idx::Int) = size(v,1) == 1 ? v[1, mod1(idx, size(v,2))] : v[:, mod1(idx, size(v,2))]
-_cycle(v, idx::Int)       = v
+Base.cycle(v::AVec, indices::AVec{Int}) = map(i -> cycle(v,i), indices)
+Base.cycle(v::AMat, indices::AVec{Int}) = map(i -> cycle(v,i), indices)
+Base.cycle(v, idx::AVec{Int})       = v

-_cycle(v::AVec, indices::AVec{Int}) = map(i -> _cycle(v,i), indices)
-_cycle(v::AMat, indices::AVec{Int}) = map(i -> _cycle(v,i), indices)
-_cycle(v, indices::AVec{Int})       = fill(v, length(indices))
-
-_cycle(grad::ColorGradient, idx::Int) = _cycle(grad.colors, idx)
-_cycle(grad::ColorGradient, indices::AVec{Int}) = _cycle(grad.colors, indices)
+Base.cycle(grad::ColorGradient, idx::Int) = cycle(grad.colors, idx)

 makevec(v::AVec) = v
-makevec(v::T) where {T} = T[v]
+makevec{T}(v::T) = T[v]

 "duplicate a single value, or pass the 2-tuple through"
 maketuple(x::Real)                     = (x,x)
-maketuple(x::Tuple{T,S}) where {T,S} = x
+maketuple{T,S}(x::@compat(Tuple{T,S})) = x

 mapFuncOrFuncs(f::Function, u::AVec)        = map(f, u)
-mapFuncOrFuncs(fs::AVec{F}, u::AVec) where {F<:Function} = [map(f, u) for f in fs]
+mapFuncOrFuncs(fs::AVec{Function}, u::AVec) = [map(f, u) for f in fs]

-unzip(xy::AVec{Tuple{X,Y}}) where {X,Y}              = [t[1] for t in xy], [t[2] for t in xy]
-unzip(xyz::AVec{Tuple{X,Y,Z}}) where {X,Y,Z}         = [t[1] for t in xyz], [t[2] for t in xyz], [t[3] for t in xyz]
-unzip(xyuv::AVec{Tuple{X,Y,U,V}}) where {X,Y,U,V}    = [t[1] for t in xyuv], [t[2] for t in xyuv], [t[3] for t in xyuv], [t[4] for t in xyuv]
+unzip{X,Y}(xy::AVec{Tuple{X,Y}})              = [t[1] for t in xy], [t[2] for t in xy]
+unzip{X,Y,Z}(xyz::AVec{Tuple{X,Y,Z}})         = [t[1] for t in xyz], [t[2] for t in xyz], [t[3] for t in xyz]
+unzip{X,Y,U,V}(xyuv::AVec{Tuple{X,Y,U,V}})    = [t[1] for t in xyuv], [t[2] for t in xyuv], [t[3] for t in xyuv], [t[4] for t in xyuv]

-unzip(xy::AVec{FixedSizeArrays.Vec{2,T}}) where {T}  = T[t[1] for t in xy], T[t[2] for t in xy]
-unzip(xy::FixedSizeArrays.Vec{2,T}) where {T}        = T[xy[1]], T[xy[2]]
+unzip{T}(xy::AVec{FixedSizeArrays.Vec{2,T}})  = T[t[1] for t in xy], T[t[2] for t in xy]
+unzip{T}(xy::FixedSizeArrays.Vec{2,T})        = T[xy[1]], T[xy[2]]

-unzip(xyz::AVec{FixedSizeArrays.Vec{3,T}}) where {T} = T[t[1] for t in xyz], T[t[2] for t in xyz], T[t[3] for t in xyz]
-unzip(xyz::FixedSizeArrays.Vec{3,T}) where {T}       = T[xyz[1]], T[xyz[2]], T[xyz[3]]
+unzip{T}(xyz::AVec{FixedSizeArrays.Vec{3,T}}) = T[t[1] for t in xyz], T[t[2] for t in xyz], T[t[3] for t in xyz]
+unzip{T}(xyz::FixedSizeArrays.Vec{3,T})       = T[xyz[1]], T[xyz[2]], T[xyz[3]]

-unzip(xyuv::AVec{FixedSizeArrays.Vec{4,T}}) where {T} = T[t[1] for t in xyuv], T[t[2] for t in xyuv], T[t[3] for t in xyuv], T[t[4] for t in xyuv]
-unzip(xyuv::FixedSizeArrays.Vec{4,T}) where {T}       = T[xyuv[1]], T[xyuv[2]], T[xyuv[3]], T[xyuv[4]]
+unzip{T}(xyuv::AVec{FixedSizeArrays.Vec{4,T}}) = T[t[1] for t in xyuv], T[t[2] for t in xyuv], T[t[3] for t in xyuv], T[t[4] for t in xyuv]
+unzip{T}(xyuv::FixedSizeArrays.Vec{4,T})       = T[xyuv[1]], T[xyuv[2]], T[xyuv[3]], T[xyuv[4]]

 # given 2-element lims and a vector of data x, widen lims to account for the extrema of x
 function _expand_limits(lims, x)
  try
-    e1, e2 = ignorenan_extrema(x)
-    lims[1] = NaNMath.min(lims[1], e1)
-    lims[2] = NaNMath.max(lims[2], e2)
+    e1, e2 = extrema(x)
+    lims[1] = min(lims[1], e1)
+    lims[2] = max(lims[2], e2)
  # catch err
  #   warn(err)
  end
  nothing
 end

-expand_data(v, n::Integer) = [_cycle(v, i) for i=1:n]
+expand_data(v, n::Integer) = [cycle(v, i) for i=1:n]

 # if the type exists in a list, replace the first occurence.  otherwise add it to the end
 function addOrReplace(v::AbstractVector, t::DataType, args...; kw...)
@@ -343,7 +314,7 @@ function replaceAliases!(d::KW, aliases::Dict{Symbol,Symbol})
  end
 end

-createSegments(z) = collect(repmat(reshape(z,1,:),2,1))[2:end]
+createSegments(z) = collect(repmat(z',2,1))[2:end]

 Base.first(c::Colorant) = c
 Base.first(x::Symbol) = x
@@ -351,55 +322,32 @@ Base.first(x::Symbol) = x

 sortedkeys(d::Dict) = sort(collect(keys(d)))

-
-const _scale_base = Dict{Symbol, Real}(
-    :log10 => 10,
-    :log2 => 2,
-    :ln => e,
-)
-
-function _heatmap_edges(v::AVec)
-  vmin, vmax = ignorenan_extrema(v)
-  extra_min = (v[2] - v[1]) / 2
-  extra_max = (v[end] - v[end - 1]) / 2
-  vcat(vmin-extra_min, 0.5 * (v[1:end-1] + v[2:end]), vmax+extra_max)
-end
-
 "create an (n+1) list of the outsides of heatmap rectangles"
-function heatmap_edges(v::AVec, scale::Symbol = :identity)
-  f, invf = scalefunc(scale), invscalefunc(scale)
-  map(invf, _heatmap_edges(map(f,v)))
+function heatmap_edges(v::AVec)
+  vmin, vmax = extrema(v)
+  extra = 0.5 * (vmax-vmin) / (length(v)-1)
+  vcat(vmin-extra, 0.5 * (v[1:end-1] + v[2:end]), vmax+extra)
 end

+
 function calc_r_extrema(x, y)
-    xmin, xmax = ignorenan_extrema(x)
-    ymin, ymax = ignorenan_extrema(y)
-    r = 0.5 * NaNMath.min(xmax - xmin, ymax - ymin)
-    ignorenan_extrema(r)
+    xmin, xmax = extrema(x)
+    ymin, ymax = extrema(y)
+    r = 0.5 * min(xmax - xmin, ymax - ymin)
+    extrema(r)
 end

 function convert_to_polar(x, y, r_extrema = calc_r_extrema(x, y))
    rmin, rmax = r_extrema
-    theta, r = filter_radial_data(x, y, r_extrema)
-    r = (r - rmin) / (rmax - rmin)
-    x = r.*cos.(theta)
-    y = r.*sin.(theta)
-    x, y
-end
-
-# Filters radial data for points within the axis limits
-function filter_radial_data(theta, r, r_extrema::Tuple{Real, Real})
-    n = max(length(theta), length(r))
-    rmin, rmax = r_extrema
-    x, y = zeros(n), zeros(n)
+    phi, r = x, y
+    r = 0.5 * (r - rmin) / (rmax - rmin)
+    n = max(length(phi), length(r))
+    x = zeros(n)
+    y = zeros(n)
    for i in 1:n
-        x[i] = _cycle(theta, i)
-        y[i] = _cycle(r, i)
+        x[i] = cycle(r,i) * cos(cycle(phi,i))
+        y[i] = cycle(r,i) * sin(cycle(phi,i))
    end
-    points = map((a, b) -> (a, b), x, y)
-    filter!(a -> a[2] >= rmin && a[2] <= rmax, points)
-    x = map(a -> a[1], points)
-    y = map(a -> a[2], points)
    x, y
 end

@@ -416,7 +364,7 @@ isatom() = isdefined(Main, :Atom) && Main.Atom.isconnected()

 function is_installed(pkgstr::AbstractString)
    try
-        Pkg.installed(pkgstr) === nothing ? false : true
+        Pkg.installed(pkgstr) === nothing ? false: true
    catch
        false
    end
@@ -438,20 +386,21 @@ isvertical(d::KW) = get(d, :orientation, :vertical) in (:vertical, :v, :vert)
 isvertical(series::Series) = isvertical(series.d)


-ticksType(ticks::AVec{T}) where {T<:Real}                      = :ticks
-ticksType(ticks::AVec{T}) where {T<:AbstractString}            = :labels
-ticksType(ticks::Tuple{T,S}) where {T<:AVec,S<:AVec}  = :ticks_and_labels
+# ticksType{T<:Real,S<:Real}(ticks::@compat(Tuple{T,S})) = :limits
+ticksType{T<:Real}(ticks::AVec{T})                      = :ticks
+ticksType{T<:AbstractString}(ticks::AVec{T})            = :labels
+ticksType{T<:AVec,S<:AVec}(ticks::@compat(Tuple{T,S}))  = :ticks_and_labels
 ticksType(ticks)                                        = :invalid

-limsType(lims::Tuple{T,S}) where {T<:Real,S<:Real}    = :limits
+limsType{T<:Real,S<:Real}(lims::@compat(Tuple{T,S}))    = :limits
 limsType(lims::Symbol)                                  = lims == :auto ? :auto : :invalid
 limsType(lims)                                          = :invalid

 # axis_Symbol(letter, postfix) = Symbol(letter * postfix)
 # axis_symbols(letter, postfix...) = map(s -> axis_Symbol(letter, s), postfix)

-Base.convert(::Type{Vector{T}}, rng::Range{T}) where {T<:Real}         = T[x for x in rng]
-Base.convert(::Type{Vector{T}}, rng::Range{S}) where {T<:Real,S<:Real} = T[x for x in rng]
+Base.convert{T<:Real}(::Type{Vector{T}}, rng::Range{T})         = T[x for x in rng]
+Base.convert{T<:Real,S<:Real}(::Type{Vector{T}}, rng::Range{S}) = T[x for x in rng]

 Base.merge(a::AbstractVector, b::AbstractVector) = sort(unique(vcat(a,b)))

@@ -496,8 +445,7 @@ end
 # for example: PyPlot sends rows to y, so transpose_on_match should be true
 function transpose_z(d, z, transpose_on_match::Bool = true)
    if d[:match_dimensions] == transpose_on_match
-        # z'
-        permutedims(z, [2,1])
+        z'
    else
        z
    end
@@ -511,7 +459,7 @@ ok(tup::Tuple) = ok(tup...)
 # compute one side of a fill range from a ribbon
 function make_fillrange_side(y, rib)
    frs = zeros(length(y))
-    for (i, (yi, ri)) in enumerate(zip(y, Base.Iterators.cycle(rib)))
+    for (i, (yi, ri)) in enumerate(zip(y, cycle(rib)))
        frs[i] = yi + ri
    end
    frs
@@ -522,186 +470,13 @@ function make_fillrange_from_ribbon(kw::KW)
    y, rib = kw[:y], kw[:ribbon]
    rib = wraptuple(rib)
    rib1, rib2 = -first(rib), last(rib)
-    # kw[:ribbon] = nothing
+    kw[:ribbon] = nothing
    kw[:fillrange] = make_fillrange_side(y, rib1), make_fillrange_side(y, rib2)
-    (get(kw, :fillalpha, nothing) == nothing) && (kw[:fillalpha] = 0.5)
-end
-
-#turn tuple of fillranges to one path
-function concatenate_fillrange(x,y::Tuple)
-    rib1, rib2 = first(y), last(y)
-    yline = vcat(rib1,(rib2)[end:-1:1])
-    xline = vcat(x,x[end:-1:1])
-    return xline, yline
-end
-
-function get_sp_lims(sp::Subplot, letter::Symbol)
-    axis_limits(sp[Symbol(letter, :axis)])
-end
-
-"""
-    xlims([plt])
-
-Returns the x axis limits of the current plot or subplot
-"""
-xlims(sp::Subplot) = get_sp_lims(sp, :x)
-
-"""
-    ylims([plt])
-
-Returns the y axis limits of the current plot or subplot
-"""
-ylims(sp::Subplot) = get_sp_lims(sp, :y)
-
-"""
-    zlims([plt])
-
-Returns the z axis limits of the current plot or subplot
-"""
-zlims(sp::Subplot) = get_sp_lims(sp, :z)
-
-xlims(plt::Plot, sp_idx::Int = 1) = xlims(plt[sp_idx])
-ylims(plt::Plot, sp_idx::Int = 1) = ylims(plt[sp_idx])
-zlims(plt::Plot, sp_idx::Int = 1) = zlims(plt[sp_idx])
-xlims(sp_idx::Int = 1) = xlims(current(), sp_idx)
-ylims(sp_idx::Int = 1) = ylims(current(), sp_idx)
-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) <: Real)
-                zmin, zmax = _update_clims(zmin, zmax, ignorenan_extrema(vals.surf)...)
-            elseif (vals != nothing) && (eltype(vals) <: Real)
-                zmin, zmax = _update_clims(zmin, zmax, ignorenan_extrema(vals)...)
-            end
-        end
-    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) : (-0.1, 0.1)
-end
-
-_update_clims(zmin, zmax, emin, emax) = min(zmin, emin), max(zmax, emax)
-
-function hascolorbar(series::Series)
-    st = series[:seriestype]
-    hascbar = st == :heatmap
-    if st == :contour
-        hascbar = (isscalar(series[:levels]) ? (series[:levels] > 1) : (length(series[:levels]) > 1)) && (length(unique(Array(series[:z]))) > 1)
-    end
-    if series[:marker_z] != nothing || series[:line_z] != nothing || series[:fill_z] != nothing
-        hascbar = true
-    end
-    # no colorbar if we are creating a surface LightSource
-    if xor(st == :surface, series[:fill_z] != nothing)
-        hascbar = true
-    end
-    return hascbar
-end
-
-function hascolorbar(sp::Subplot)
-    cbar = sp[:colorbar]
-    hascbar = false
-    if cbar != :none
-        for series in series_list(sp)
-            if hascolorbar(series)
-                hascbar = true
-            end
-        end
-    end
-    hascbar
-end
-
-function get_linecolor(series, i::Int = 1)
-    lc = series[:linecolor]
-    lz = series[:line_z]
-    if lz == nothing
-        isa(lc, ColorGradient) ? lc : plot_color(_cycle(lc, i))
-    else
-        cmin, cmax = get_clims(series[:subplot])
-        grad = isa(lc, ColorGradient) ? lc : cgrad()
-        grad[clamp((_cycle(lz, i) - cmin) / (cmax - cmin), 0, 1)]
-    end
-end
-
-function get_linealpha(series, i::Int = 1)
-    _cycle(series[:linealpha], i)
-end
-
-function get_linewidth(series, i::Int = 1)
-    _cycle(series[:linewidth], i)
-end
-
-function get_linestyle(series, i::Int = 1)
-    _cycle(series[:linestyle], i)
-end
-
-function get_fillcolor(series, i::Int = 1)
-    fc = series[:fillcolor]
-    fz = series[:fill_z]
-    if fz == nothing
-        isa(fc, ColorGradient) ? fc : plot_color(_cycle(fc, i))
-    else
-        cmin, cmax = get_clims(series[:subplot])
-        grad = isa(fc, ColorGradient) ? fc : cgrad()
-        grad[clamp((_cycle(fz, i) - cmin) / (cmax - cmin), 0, 1)]
-    end
-end
-
-function get_fillalpha(series, i::Int = 1)
-    _cycle(series[:fillalpha], i)
-end
-
-function get_markercolor(series, i::Int = 1)
-    mc = series[:markercolor]
-    mz = series[:marker_z]
-    if mz == nothing
-        isa(mc, ColorGradient) ? mc : plot_color(_cycle(mc, i))
-    else
-        cmin, cmax = get_clims(series[:subplot])
-        grad = isa(mc, ColorGradient) ? mc : cgrad()
-        grad[clamp((_cycle(mz, i) - cmin) / (cmax - cmin), 0, 1)]
-    end
-end
-
-function get_markeralpha(series, i::Int = 1)
-    _cycle(series[:markeralpha], i)
-end
-
-function get_markerstrokecolor(series, i::Int = 1)
-    msc = series[:markerstrokecolor]
-    isa(msc, ColorGradient) ? msc : _cycle(msc, i)
-end
-
-function get_markerstrokealpha(series, i::Int = 1)
-    _cycle(series[:markerstrokealpha], 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
-    for letter in (:x, :y, :z)
-        # If we have NaNs in the data they define the segments and
-        # SegmentsIterator is used
-        series[letter] != nothing && NaN in collect(series[letter]) && return false
-    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{<:Real} for attr in (:line_z, :fill_z, :marker_z))
 end

 # ---------------------------------------------------------------

-makekw(; kw...) = KW(kw)
-
-wraptuple(x::Tuple) = x
+wraptuple(x::@compat(Tuple)) = x
 wraptuple(x) = (x,)

 trueOrAllTrue(f::Function, x::AbstractArray) = all(f, x)
@@ -709,7 +484,7 @@ 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) ||
+allShapes(arg)      = trueOrAllTrue(a -> get(_markerAliases, a, a) in _allMarkers, arg) ||
                        trueOrAllTrue(a -> isa(a, Shape), arg)
 allAlphas(arg)      = trueOrAllTrue(a -> (typeof(a) <: Real && a > 0 && a < 1) ||
                        (typeof(a) <: AbstractFloat && (a == zero(typeof(a)) || a == one(typeof(a)))), arg)
@@ -723,7 +498,7 @@ allFunctions(arg)   = trueOrAllTrue(a -> isa(a, Function), arg)
 """
 Allows temporary setting of backend and defaults for Plots. Settings apply only for the `do` block.  Example:
 ```
-with(:gr, size=(400,400), type=:histogram) do
+with(:gadfly, size=(400,400), type=:histogram) do
  plot(rand(10))
  plot(rand(10))
 end
@@ -808,7 +583,7 @@ end
 # ---------------------------------------------------------------
 # ---------------------------------------------------------------

-mutable struct DebugMode
+type DebugMode
  on::Bool
 end
 const _debugMode = DebugMode(false)
@@ -845,11 +620,11 @@ end
 # used in updating an existing series

 extendSeriesByOne(v::UnitRange{Int}, n::Int = 1) = isempty(v) ? (1:n) : (minimum(v):maximum(v)+n)
-extendSeriesByOne(v::AVec, n::Integer = 1)       = isempty(v) ? (1:n) : vcat(v, (1:n) + ignorenan_maximum(v))
-extendSeriesData(v::Range{T}, z::Real) where {T}        = extendSeriesData(float(collect(v)), z)
-extendSeriesData(v::Range{T}, z::AVec) where {T}        = extendSeriesData(float(collect(v)), z)
-extendSeriesData(v::AVec{T}, z::Real) where {T}         = (push!(v, convert(T, z)); v)
-extendSeriesData(v::AVec{T}, z::AVec) where {T}         = (append!(v, convert(Vector{T}, z)); v)
+extendSeriesByOne(v::AVec, n::Integer = 1)       = isempty(v) ? (1:n) : vcat(v, (1:n) + maximum(v))
+extendSeriesData{T}(v::Range{T}, z::Real)        = extendSeriesData(float(collect(v)), z)
+extendSeriesData{T}(v::Range{T}, z::AVec)        = extendSeriesData(float(collect(v)), z)
+extendSeriesData{T}(v::AVec{T}, z::Real)         = (push!(v, convert(T, z)); v)
+extendSeriesData{T}(v::AVec{T}, z::AVec)         = (append!(v, convert(Vector{T}, z)); v)


 # -------------------------------------------------------
@@ -867,90 +642,30 @@ function getxyz(plt::Plot, i::Integer)
    tovec(d[:x]), tovec(d[:y]), tovec(d[:z])
 end

-function setxy!(plt::Plot, xy::Tuple{X,Y}, i::Integer) where {X,Y}
+function setxy!{X,Y}(plt::Plot, xy::Tuple{X,Y}, i::Integer)
    series = plt.series_list[i]
    series.d[:x], series.d[:y] = xy
    sp = series.d[:subplot]
-    reset_extrema!(sp)
+    expand_extrema!(sp.attr[:xaxis], xy[1])
+    expand_extrema!(sp.attr[:yaxis], xy[2])
    _series_updated(plt, series)
 end
-function setxyz!(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer) where {X,Y,Z}
+function setxyz!{X,Y,Z}(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer)
    series = plt.series_list[i]
    series.d[:x], series.d[:y], series.d[:z] = xyz
    sp = series.d[:subplot]
-    reset_extrema!(sp)
+    expand_extrema!(sp.attr[:xaxis], xyz[1])
+    expand_extrema!(sp.attr[:yaxis], xyz[2])
+    expand_extrema!(sp.attr[:zaxis], xyz[3])
    _series_updated(plt, series)
 end

-function setxyz!(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer) where {X,Y,Z<:AbstractMatrix}
-    setxyz!(plt, (xyz[1], xyz[2], Surface(xyz[3])), i)
-end
-
-
 # -------------------------------------------------------
 # indexing notation

 # Base.getindex(plt::Plot, i::Integer) = getxy(plt, i)
-Base.setindex!(plt::Plot, xy::Tuple{X,Y}, i::Integer) where {X,Y} = (setxy!(plt, xy, i); plt)
-Base.setindex!(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer) where {X,Y,Z} = (setxyz!(plt, xyz, i); plt)
-
-# -------------------------------------------------------
-
-# operate on individual series
-
-function push_x!(series::Series, xi)
-    push!(series[:x], xi)
-    expand_extrema!(series[:subplot][:xaxis], xi)
-    return
-end
-function push_y!(series::Series, yi)
-    push!(series[:y], yi)
-    expand_extrema!(series[:subplot][:yaxis], yi)
-    return
-end
-function push_z!(series::Series, zi)
-    push!(series[:z], zi)
-    expand_extrema!(series[:subplot][:zaxis], zi)
-    return
-end
-
-function Base.push!(series::Series, yi)
-    x = extendSeriesByOne(series[:x])
-    expand_extrema!(series[:subplot][:xaxis], x[end])
-    series[:x] = x
-    push_y!(series, yi)
-end
-Base.push!(series::Series, xi, yi) = (push_x!(series,xi); push_y!(series,yi))
-Base.push!(series::Series, xi, yi, zi) = (push_x!(series,xi); push_y!(series,yi); push_z!(series,zi))
-
-# -------------------------------------------------------
-
-function attr!(series::Series; kw...)
-    d = KW(kw)
-    preprocessArgs!(d)
-    for (k,v) in d
-        if haskey(_series_defaults, k)
-            series[k] = v
-        else
-            warn("unused key $k in series attr")
-        end
-    end
-    _series_updated(series[:subplot].plt, series)
-    series
-end
-
-function attr!(sp::Subplot; kw...)
-    d = KW(kw)
-    preprocessArgs!(d)
-    for (k,v) in d
-        if haskey(_subplot_defaults, k)
-            sp[k] = v
-        else
-            warn("unused key $k in subplot attr")
-        end
-    end
-    sp
-end
+Base.setindex!{X,Y}(plt::Plot, xy::Tuple{X,Y}, i::Integer) = setxy!(plt, xy, i)
+Base.setindex!{X,Y,Z}(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer) = setxyz!(plt, xyz, i)

 # -------------------------------------------------------
 # push/append for one series
@@ -1004,10 +719,10 @@ function Base.append!(plt::Plot, i::Integer, x::AVec, y::AVec, z::AVec)
 end

 # tuples
-Base.push!(plt::Plot, xy::Tuple{X,Y}) where {X,Y}                  = push!(plt, 1, xy...)
-Base.push!(plt::Plot, xyz::Tuple{X,Y,Z}) where {X,Y,Z}             = push!(plt, 1, xyz...)
-Base.push!(plt::Plot, i::Integer, xy::Tuple{X,Y}) where {X,Y}      = push!(plt, i, xy...)
-Base.push!(plt::Plot, i::Integer, xyz::Tuple{X,Y,Z}) where {X,Y,Z} = push!(plt, i, xyz...)
+Base.push!{X,Y}(plt::Plot, xy::Tuple{X,Y})                  = push!(plt, 1, xy...)
+Base.push!{X,Y,Z}(plt::Plot, xyz::Tuple{X,Y,Z})             = push!(plt, 1, xyz...)
+Base.push!{X,Y}(plt::Plot, i::Integer, xy::Tuple{X,Y})      = push!(plt, i, xy...)
+Base.push!{X,Y,Z}(plt::Plot, i::Integer, xyz::Tuple{X,Y,Z}) = push!(plt, i, xyz...)

 # -------------------------------------------------------
 # push/append for all series
@@ -1071,152 +786,9 @@ mm2px(mm::Real)         = float(px / MM_PER_PX)


 "Smallest x in plot"
-xmin(plt::Plot) = ignorenan_minimum([ignorenan_minimum(series.d[:x]) for series in plt.series_list])
+xmin(plt::Plot) = minimum([minimum(series.d[:x]) for series in plt.series_list])
 "Largest x in plot"
-xmax(plt::Plot) = ignorenan_maximum([ignorenan_maximum(series.d[:x]) for series in plt.series_list])
+xmax(plt::Plot) = maximum([maximum(series.d[:x]) for series in plt.series_list])

 "Extrema of x-values in plot"
-ignorenan_extrema(plt::Plot) = (xmin(plt), xmax(plt))
-
-
-# ---------------------------------------------------------------
-# get fonts from objects:
-
-titlefont(sp::Subplot) = font(
-    sp[:titlefontfamily],
-    sp[:titlefontsize],
-    sp[:titlefontvalign],
-    sp[:titlefonthalign],
-    sp[:titlefontrotation],
-    sp[:titlefontcolor],
-)
-
-legendfont(sp::Subplot) = font(
-    sp[:legendfontfamily],
-    sp[:legendfontsize],
-    sp[:legendfontvalign],
-    sp[:legendfonthalign],
-    sp[:legendfontrotation],
-    sp[:legendfontcolor],
-)
-
-tickfont(ax::Axis) = font(
-    ax[:tickfontfamily],
-    ax[:tickfontsize],
-    ax[:tickfontvalign],
-    ax[:tickfonthalign],
-    ax[:tickfontrotation],
-    ax[:tickfontcolor],
-)
-
-guidefont(ax::Axis) = font(
-    ax[:guidefontfamily],
-    ax[:guidefontsize],
-    ax[:guidefontvalign],
-    ax[:guidefonthalign],
-    ax[:guidefontrotation],
-    ax[:guidefontcolor],
-)
-
-# ---------------------------------------------------------------
-# converts unicode scientific notation unsupported by pgfplots and gr
-# into a format that works
-
-function convert_sci_unicode(label::AbstractString)
-    unicode_dict = Dict(
-    '⁰' => "0",
-    '¹' => "1",
-    '²' => "2",
-    '³' => "3",
-    '⁴' => "4",
-    '⁵' => "5",
-    '⁶' => "6",
-    '⁷' => "7",
-    '⁸' => "8",
-    '⁹' => "9",
-    '⁻' => "-",
-    "×10" => "×10^{",
-    )
-    for key in keys(unicode_dict)
-        label = replace(label, key, unicode_dict[key])
-    end
-    if contains(label, "10^{")
-        label = string(label, "}")
-    end
-    label
-end
-
-function straightline_data(series)
-    sp = series[:subplot]
-    xl, yl = isvertical(series) ? (xlims(sp), ylims(sp)) : (ylims(sp), xlims(sp))
-    x, y = series[:x], series[:y]
-    n = length(x)
-    if n == 2
-        return straightline_data(xl, yl, x, y)
-    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])
-            end
-            return xdata, ydata
-        else
-            error("Misformed data. `straightline_data` either accepts vectors of length 2 or 3k. The provided series has length $n")
-        end
-    end
-end
-
-function straightline_data(xl, yl, x, y)
-    x_vals, y_vals = if y[1] == y[2]
-        if x[1] == x[2]
-            error("Two identical points cannot be used to describe a straight line.")
-        else
-            [xl[1], xl[2]], [y[1], y[2]]
-        end
-    elseif x[1] == x[2]
-        [x[1], x[2]], [yl[1], yl[2]]
-    else
-        # get a and b from the line y = a * x + b through the points given by
-        # the coordinates x and x
-        b = y[1] - (y[1] - y[2]) * x[1] / (x[1] - x[2])
-        a = (y[1] - y[2]) / (x[1] - x[2])
-        # get the data values
-        xdata = [clamp(x[1] + (x[1] - x[2]) * (ylim - y[1]) / (y[1] - y[2]), xl...) for ylim in yl]
-
-        xdata, a .* xdata .+ b
-    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]
-    return x_vals, y_vals
-end
-
-function shape_data(series)
-    sp = series[:subplot]
-    xl, yl = isvertical(series) ? (xlims(sp), ylims(sp)) : (ylims(sp), xlims(sp))
-    x, y = series[:x], series[:y]
-    factor = 100
-    for i in eachindex(x)
-        if x[i] == -Inf
-            x[i] = xl[1] - factor * (xl[2] - xl[1])
-        elseif x[i] == Inf
-            x[i] = xl[2] + 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])
-        elseif y[i] == Inf
-            y[i] = yl[2] + factor * (yl[2] - yl[1])
-        end
-    end
-    return x, y
-end
-
-function construct_categorical_data(x::AbstractArray, axis::Axis)
-    map(xi -> axis[:discrete_values][searchsortedfirst(axis[:continuous_values], xi)], x)
-end
+Base.extrema(plt::Plot) = (xmin(plt), xmax(plt))
@@ -1,8 +1,18 @@
+julia 0.4
+
+RecipesBase
+PlotUtils
 StatPlots
+Reexport
+Measures
+Showoff
+FactCheck
 Images
 ImageMagick
@osx QuartzImageIO
-GR 0.31.0
+GR
+DataFrames
 RDatasets
 VisualRegressionTests
 UnicodePlots
+Glob
@@ -15,7 +15,8 @@ end

 using Plots
 using StatPlots
-using Base.Test
+using FactCheck
+using Glob

 default(size=(500,300))

@@ -23,7 +24,7 @@ default(size=(500,300))
 # TODO: use julia's Condition type and the wait() and notify() functions to initialize a Window, then wait() on a condition that
 #       is referenced in a button press callback (the button clicked callback will call notify() on that condition)

-const _current_plots_version = v"0.17.4"
+const _current_plots_version = v"0.8.1"


 function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = isinteractive(), sigma = [1,1], eps = 1e-2)
@@ -42,8 +43,11 @@ function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = is
    fn = "ref$idx.png"

    # firgure out version info
-    vns = filter(x->x[1] != '.', readdir(refdir))
-    versions = sort(VersionNumber.(vns), rev = true)
+    G = glob(joinpath(relpath(refdir), "*"))
+    # @show refdir fn G
+    slash = (@windows ? "\\" : "/")
+    versions = map(fn -> VersionNumber(split(fn, slash)[end]), G)
+    versions = reverse(sort(versions))
    versions = filter(v -> v <= _current_plots_version, versions)
    # @show refdir fn versions

@@ -95,7 +99,7 @@ function image_comparison_facts(pkg::Symbol;
  for i in 1:length(Plots._examples)
    i in skip && continue
    if only == nothing || i in only
-      @test image_comparison_tests(pkg, i, debug=debug, sigma=sigma, eps=eps) |> success == true
+      @fact image_comparison_tests(pkg, i, debug=debug, sigma=sigma, eps=eps) |> success --> true
    end
  end
 end
@@ -5,11 +5,9 @@ set -ex
 sudo apt-get -qq update
 # sudo apt-get install -y wkhtmltopdf

-sudo apt-get install -y xfonts-75dpi xfonts-base
-wget https://github.com/wkhtmltopdf/wkhtmltopdf/releases/download/0.12.2.1/wkhtmltox-0.12.2.1_linux-precise-amd64.deb
-sudo dpkg -i wkhtmltox-0.12.2.1_linux-precise-amd64.deb
-# wget http://download.gna.org/wkhtmltopdf/0.12/0.12.2/wkhtmltox-0.12.2_linux-trusty-amd64.deb
-# sudo dpkg -i wkhtmltox-0.12.2_linux-trusty-amd64.deb
+sudo apt-get install -y xfonts-75dpi
+wget http://download.gna.org/wkhtmltopdf/0.12/0.12.2/wkhtmltox-0.12.2_linux-trusty-amd64.deb
+sudo dpkg -i wkhtmltox-0.12.2_linux-trusty-amd64.deb
 wkhtmltoimage http://www.google.com test.png
 ls

@@ -7,170 +7,85 @@ srand(1234)
 default(show=false, reuse=true)
 img_eps = isinteractive() ? 1e-2 : 10e-2

-@testset "GR" begin
-    ENV["PLOTS_TEST"] = "true"
-    ENV["GKSwstype"] = "100"
-    @test gr() == Plots.GRBackend()
-    @test backend() == Plots.GRBackend()
+# facts("Gadfly") do
+#     @fact gadfly() --> Plots.GadflyBackend()
+#     @fact backend() --> Plots.GadflyBackend()
+#
+#     @fact typeof(plot(1:10)) --> Plots.Plot{Plots.GadflyBackend}
+#     @fact plot(Int[1,2,3], rand(3)) --> not(nothing)
+#     @fact plot(sort(rand(10)), rand(Int, 10, 3)) --> not(nothing)
+#     @fact plot!(rand(10,3), rand(10,3)) --> not(nothing)
+#
+#     image_comparison_facts(:gadfly, skip=[4,6,23,24,27], eps=img_eps)
+# end

-    image_comparison_facts(:gr, eps=img_eps)
+facts("PyPlot") do
+    @fact pyplot() --> Plots.PyPlotBackend()
+    @fact backend() --> Plots.PyPlotBackend()
+
+    image_comparison_facts(:pyplot, skip=[], eps=img_eps)
+end
+
+facts("GR") do
+    @fact gr() --> Plots.GRBackend()
+    @fact backend() --> Plots.GRBackend()
+
+    # @linux_only image_comparison_facts(:gr, skip=[], eps=img_eps)
+end
+
+facts("Plotly") do
+    @fact plotly() --> Plots.PlotlyBackend()
+    @fact backend() --> Plots.PlotlyBackend()
+
+    # # until png generation is reliable on OSX, just test on linux
+    # @linux_only image_comparison_facts(:plotly, only=[1,3,4,7,8,9,10,11,12,14,15,20,22,23,27], eps=img_eps)
 end


-#@testset "PyPlot" begin
-#    @test pyplot() == Plots.PyPlotBackend()
-#    @test backend() == Plots.PyPlotBackend()
-#
-#    image_comparison_facts(:pyplot, eps=img_eps)
-#end
-
-@testset "UnicodePlots" begin
-    @test unicodeplots() == Plots.UnicodePlotsBackend()
-    @test backend() == Plots.UnicodePlotsBackend()
-
-    # lets just make sure it runs without error
-    @test isa(plot(rand(10)), Plots.Plot) == true
-end
-
-# The plotlyjs testimages return a connection error on travis:
-# connect: connection refused (ECONNREFUSED)
-
-# @testset "PlotlyJS" begin
-#     @test plotlyjs() == Plots.PlotlyJSBackend()
-#     @test backend() == Plots.PlotlyJSBackend()
-#
-#     if is_linux() && isinteractive()
-#         image_comparison_facts(:plotlyjs,
-#             skip=[
-#                 2,  # animation (skipped for speed)
-#                 27, # (polar plots) takes very long / not working
-#                 31, # animation (skipped for speed)
-#             ],
-#             eps=img_eps)
-#     end
-# end
-
-
-# InspectDR returns that error on travis:
-# ERROR: LoadError: InitError: Cannot open display:
-#  in Gtk.GLib.GError(::Gtk.##229#230) at /home/travis/.julia/v0.5/Gtk/src/GLib/gerror.jl:17
-
-# @testset "InspectDR" begin
-#     @test inspectdr() == Plots.InspectDRBackend()
-#     @test backend() == Plots.InspectDRBackend()
-#
-#     image_comparison_facts(:inspectdr,
-#         skip=[
-#             2,  # animation
-#             6,  # heatmap not defined
-#             10, # heatmap not defined
-#             22, # contour not defined
-#             23, # pie not defined
-#             27, # polar plot not working
-#             28, # heatmap not defined
-#             31, # animation
-#         ],
-#         eps=img_eps)
-# end
-
-
-# @testset "Plotly" begin
-#     @test plotly() == Plots.PlotlyBackend()
-#     @test backend() == Plots.PlotlyBackend()
-#
-#     # # until png generation is reliable on OSX, just test on linux
-#     # @static is_linux() && image_comparison_facts(:plotly, only=[1,3,4,7,8,9,10,11,12,14,15,20,22,23,27], eps=img_eps)
-# end
-
-
-# @testset "Immerse" begin
-#     @test immerse() == Plots.ImmerseBackend()
-#     @test backend() == Plots.ImmerseBackend()
+# facts("Immerse") do
+#     @fact immerse() --> Plots.ImmerseBackend()
+#     @fact backend() --> Plots.ImmerseBackend()
 #
 #     # as long as we can plot anything without error, it should be the same as Gadfly
 #     image_comparison_facts(:immerse, only=[1], eps=img_eps)
 # end


-# @testset "PlotlyJS" begin
-#     @test plotlyjs() == Plots.PlotlyJSBackend()
-#     @test backend() == Plots.PlotlyJSBackend()
+# facts("PlotlyJS") do
+#     @fact plotlyjs() --> Plots.PlotlyJSBackend()
+#     @fact backend() --> Plots.PlotlyJSBackend()
 #
 #     # as long as we can plot anything without error, it should be the same as Plotly
 #     image_comparison_facts(:plotlyjs, only=[1], eps=img_eps)
 # end


-# @testset "Gadfly" begin
-#     @test gadfly() == Plots.GadflyBackend()
-#     @test backend() == Plots.GadflyBackend()
-#
-#     @test typeof(plot(1:10)) == Plots.Plot{Plots.GadflyBackend}
-#     @test plot(Int[1,2,3], rand(3)) == not(nothing)
-#     @test plot(sort(rand(10)), rand(Int, 10, 3)) == not(nothing)
-#     @test plot!(rand(10,3), rand(10,3)) == not(nothing)
-#
-#     image_comparison_facts(:gadfly, skip=[4,6,23,24,27], eps=img_eps)
-# end
+facts("UnicodePlots") do
+    @fact unicodeplots() --> Plots.UnicodePlotsBackend()
+    @fact backend() --> Plots.UnicodePlotsBackend()
+
+    # lets just make sure it runs without error
+    @fact isa(plot(rand(10)), Plot) --> true
+end



-
-@testset "Axes" begin
+facts("Axes") do
    p = plot()
    axis = p.subplots[1][:xaxis]
-    @test typeof(axis) == Plots.Axis
-    @test Plots.discrete_value!(axis, "HI") == (0.5, 1)
-    @test Plots.discrete_value!(axis, :yo) == (1.5, 2)
-    @test Plots.ignorenan_extrema(axis) == (0.5,1.5)
-    @test axis[:discrete_map] == Dict{Any,Any}(:yo  => 2, "HI" => 1)
+    @fact typeof(axis) --> Axis
+    @fact Plots.discrete_value!(axis, "HI") --> (0.5, 1)
+    @fact Plots.discrete_value!(axis, :yo) --> (1.5, 2)
+    @fact extrema(axis) --> (0.5,1.5)
+    @fact axis[:discrete_map] --> Dict{Any,Any}(:yo  => 2, "HI" => 1)

    Plots.discrete_value!(axis, ["x$i" for i=1:5])
    Plots.discrete_value!(axis, ["x$i" for i=0:2])
-    @test Plots.ignorenan_extrema(axis) == (0.5, 7.5)
+    @fact extrema(axis) --> (0.5, 7.5)
 end

-@testset "NoFail" begin
-    histogram([1, 0, 0, 0, 0, 0])
-end
-
-# tests for preprocessing recipes
-
-# @testset "recipes" begin
-
-    # user recipe
-
-    # type T end
-    # @recipe function f(::T)
-    #     line := (3,0.3,:red)
-    #     marker := (20,0.5,:blue,:o)
-    #     bg := :yellow
-    #     rand(10)
-    # end
-    # plot(T())
-
-    # plot recipe
-
-    # @recipe function f(::Type{Val{:hiplt}},plt::Plot)
-    #     line := (3,0.3,:red)
-    #     marker := (20,0.5,:blue,:o)
-    #     t := :path
-    #     bg:=:green
-    #     ()
-    # end
-    # plot(rand(10),t=:hiplt)
-
-    # series recipe
-
-    # @recipe function f(::Type{Val{:hi}},x,y,z)
-    #     line := (3,0.3,:red)
-    #     marker := (20,0.5,:blue,:o)
-    #     t := :path
-    #     ()
-    # end
-    # plot(rand(10),t=:hiplt)
-
-# end


+
+FactCheck.exitstatus()
 end # module
@@ -4,7 +4,7 @@ import SnoopCompile
 # This only needs to be run once (to generate "/tmp/plots_compiles.csv")

 # SnoopCompile.@snoop "/tmp/plots_compiles.csv" begin
-#     include(joinpath(dirname(@__FILE__), "runtests.jl"))
+#     include(Pkg.dir("Plots", "test","runtests.jl"))
 # end

 # ----------------------------------------------------------
@@ -32,5 +32,5 @@ blacklist = ["MIME"]
 pc, discards = SnoopCompile.parcel(data[end:-1:1,2], subst=subst, blacklist=blacklist)
 SnoopCompile.write("/tmp/precompile", pc)

-pdir = joinpath(dirname(@__FILE__), "..")
+pdir = Pkg.dir("Plots")
 run(`cp /tmp/precompile/precompile_Plots.jl $pdir/src/precompile.jl`)
@@ -1,5 +1,5 @@
-Pkg.add("ImageMagick")
-Pkg.build("ImageMagick")
+# Pkg.clone("ImageMagick")
+# Pkg.build("ImageMagick")

 # Pkg.clone("GR")
 # Pkg.build("GR")
@@ -9,14 +9,13 @@ Pkg.clone("https://github.com/JuliaPlots/PlotReferenceImages.jl.git")
 # Pkg.clone("https://github.com/JuliaStats/KernelDensity.jl.git")

 Pkg.clone("StatPlots")
-# Pkg.checkout("PlotUtils")
+Pkg.checkout("PlotUtils")

-# Pkg.clone("Blink")
+# Pkg.clone("https://github.com/JunoLab/Blink.jl.git")
 # Pkg.build("Blink")
 # import Blink
 # Blink.AtomShell.install()
-# Pkg.add("Rsvg")
-# Pkg.add("PlotlyJS")
+# Pkg.clone("https://github.com/spencerlyon2/PlotlyJS.jl.git")

 # Pkg.checkout("RecipesBase")
 # Pkg.clone("VisualRegressionTests")
@@ -26,6 +25,4 @@ ENV["PYTHON"] = ""
 Pkg.add("PyPlot")
 Pkg.build("PyPlot")

-# Pkg.add("InspectDR")
-
 Pkg.test("Plots"; coverage=false)
Author	SHA1	Message	Date
Thomas Breloff	01b9cc92fd	remove mkdir call in tests; closes #397	2016-07-22 11:18:47 -04:00
Thomas Breloff	7a650d918b	unicodeplots size fix	2016-07-22 09:45:44 -04:00
Thomas Breloff	b6fa4bcda4	plotly ticks fix	2016-07-21 11:01:04 -04:00