Merge pull request #1534 from daschw/release

prepare release
2018-05-21 09:55:56 +02:00 · 2018-05-21 09:53:58 +02:00 · 2018-05-18 16:06:08 +02:00 · 2018-05-18 16:00:35 +02:00 · 2018-05-16 11:19:10 -07:00 · 2018-05-13 23:37:43 +02:00
46 changed files with 5494 additions and 1859 deletions
@@ -4,7 +4,7 @@ os:
  - linux
  # - osx
 julia:
-  - 0.5
+  - 0.6
 matrix:
  allow_failures:
    - julia: nightly
@@ -3,14 +3,238 @@

 #### notes on release changes, ongoing development, and future planned work

- All new development should target 0.9!
- Minor version 0.8 is the last one to support Julia 0.4!!
+- All new development should target 0.15!
+- Minor version 0.11 is the last one to support Julia 0.5!!
 	- Critical bugfixes only
-    - `backports` branch is for Julia 0.4
+    - `backports` branch is for Julia 0.5

 ---
+## (current master)
+
+## 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 (current master/dev)

 #### 0.9.5

@@ -331,7 +555,7 @@
 - z-axis keywords
 - 3D indexing overhaul: `push!`, `append!` support
 - matplotlib colormap constants (`:inferno` is the new default colormap for Plots)
- `typealias KW Dict{Symbol,Any}` used in place of splatting in many places
+- `const 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
@@ -1,13 +1,16 @@
 # Plots

-[![Build Status](https://travis-ci.org/tbreloff/Plots.jl.svg?branch=master)](https://travis-ci.org/tbreloff/Plots.jl)
+[![Build Status](https://travis-ci.org/JuliaPlots/Plots.jl.svg?branch=master)](https://travis-ci.org/JuliaPlots/Plots.jl)
+[![Build status](https://ci.appveyor.com/api/projects/status/github/juliaplots/plots.jl?branch=master&svg=true)](https://ci.appveyor.com/project/mkborregaard/plots-jl)
 [![Join the chat at https://gitter.im/tbreloff/Plots.jl](https://badges.gitter.im/tbreloff/Plots.jl.svg)](https://gitter.im/tbreloff/Plots.jl?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
 <!-- [![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) -->

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

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

@@ -19,4 +22,4 @@ 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://juliaplots.github.io).
+View the [full documentation](http://docs.juliaplots.org/latest).
@@ -1,9 +1,16 @@
-julia 0.5
+julia 0.6

-RecipesBase
-PlotUtils
-PlotThemes
+RecipesBase 0.2.3
+PlotUtils 0.4.1
+PlotThemes 0.1.3
 Reexport
-FixedSizeArrays
+StaticArrays 0.5
+FixedPointNumbers 0.3
 Measures
 Showoff
+StatsBase 0.14.0
+JSON
+NaNMath
+Requires
+Contour
+GR 0.31.0
@@ -1,9 +1,15 @@
 environment:
  matrix:
-  - JULIAVERSION: "julialang/bin/winnt/x86/0.5/julia-0.5-latest-win32.exe"
-  - JULIAVERSION: "julialang/bin/winnt/x64/0.5/julia-0.5-latest-win64.exe"
-  - JULIAVERSION: "julianightlies/bin/winnt/x86/julia-latest-win32.exe"
-  - JULIAVERSION: "julianightlies/bin/winnt/x64/julia-latest-win64.exe"
+  - 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"

 notifications:
  - provider: Email
@@ -12,13 +18,14 @@ 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 $env:APPVEYOR_PULL_REQUEST_NUMBER)[0].buildNumber) { `
        throw "There are newer queued builds for this pull request, failing early." }
 # Download most recent Julia Windows binary
-  - ps: (new-object net.webclient).DownloadFile($("http://s3.amazonaws.com/"+$env:JULIAVERSION), "C:\projects\julia-binary.exe")
+  - ps: (new-object net.webclient).DownloadFile($env:JULIA_URL, "C:\projects\julia-binary.exe")
 # Run installer silently, output to C:\projects\julia
  - C:\projects\julia-binary.exe /S /D=C:\projects\julia

@@ -3,12 +3,20 @@ __precompile__(true)
 module Plots

 using Reexport
-using FixedSizeArrays
+
+import StaticArrays
+using StaticArrays.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
    grid,
@@ -29,9 +37,6 @@ export
    with,
    twinx,

-    @userplot,
-    @shorthands,
-
    pie,
    pie!,
    plot3d,
@@ -50,6 +55,8 @@ export
    yflip!,
    xaxis!,
    yaxis!,
+    xgrid!,
+    ygrid!,

    xlims,
    ylims,
@@ -105,11 +112,44 @@ export

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

+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
-typealias BBox Measures.Absolute2DBox
-export BBox, BoundingBox, mm, cm, inch, pt, px, pct, w, h
+const BBox = Measures.Absolute2DBox

+# 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")
@@ -117,7 +157,6 @@ include("utils.jl")
 include("components.jl")
 include("axes.jl")
 include("args.jl")
-include("backends.jl")
 include("themes.jl")
 include("plot.jl")
 include("pipeline.jl")
@@ -126,35 +165,31 @@ 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
@@ -168,52 +203,86 @@ end
@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...)
-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...)
+
+"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!(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...)
-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...)
+
+
+"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"
 annotate!(anns...; kw...)                                 = plot!(; annotation = anns, kw...)
-annotate!{T<:Tuple}(anns::AVec{T}; kw...)                 = plot!(; annotation = anns, kw...)
+annotate!(anns::AVec{T}; kw...) where {T<:Tuple}                 = plot!(; annotation = anns, kw...)
+
+"Flip the current plots' x axis"
 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!{T<:Real,S<:Real}(plt::PlotOrSubplot, lims::Tuple{T,S}; kw...)  = plot!(plt; xlims = lims, kw...)
-    ylims!{T<:Real,S<:Real}(plt::PlotOrSubplot, lims::Tuple{T,S}; kw...)  = plot!(plt; ylims = lims, kw...)
-    zlims!{T<:Real,S<:Real}(plt::PlotOrSubplot, lims::Tuple{T,S}; kw...)  = plot!(plt; zlims = lims, 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!{T<:Real}(plt::PlotOrSubplot, ticks::AVec{T}; kw...)           = plot!(plt; xticks = ticks, kw...)
-    yticks!{T<:Real}(plt::PlotOrSubplot, ticks::AVec{T}; kw...)           = plot!(plt; yticks = ticks, kw...)
-    xticks!{T<:Real,S<:AbstractString}(plt::PlotOrSubplot,
-                              ticks::AVec{T}, labels::AVec{S}; kw...)     = plot!(plt; xticks = (ticks,labels), kw...)
-    yticks!{T<:Real,S<:AbstractString}(plt::PlotOrSubplot,
-                              ticks::AVec{T}, labels::AVec{S}; kw...)     = plot!(plt; yticks = (ticks,labels), 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!{T<:Tuple}(plt::PlotOrSubplot, anns::AVec{T}; 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...)
@@ -225,13 +294,14 @@ end

 const CURRENT_BACKEND = CurrentBackend(:none)

-function __init__()
-    setup_ijulia()
-    setup_atom()
-
+# for compatibility with Requires.jl:
+@init begin
    if isdefined(Main, :PLOTS_DEFAULTS)
+        if haskey(Main.PLOTS_DEFAULTS, :theme)
+            theme(Main.PLOTS_DEFAULTS[:theme])
+        end
        for (k,v) in Main.PLOTS_DEFAULTS
-            default(k, v)
+            k == :theme || default(k, v)
        end
    end
 end
@@ -1,5 +1,5 @@
-
-immutable Animation
+"Represents an animation object"
+struct Animation
    dir::String
    frames::Vector{String}
 end
@@ -9,7 +9,12 @@ function Animation()
    Animation(tmpdir, String[])
 end

-function frame{P<:AbstractPlot}(anim::Animation, plt::P=current())
+"""
+    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))
@@ -20,7 +25,7 @@ giffn() = (isijulia() ? "tmp.gif" : tempname()*".gif")
 movfn() = (isijulia() ? "tmp.mov" : tempname()*".mov")
 mp4fn() = (isijulia() ? "tmp.mp4" : tempname()*".mp4")

-type FrameIterator
+mutable struct FrameIterator
    itr
    every::Int
    kw
@@ -49,46 +54,40 @@ end
 # -----------------------------------------------

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

 file_extension(fn) = Base.Filesystem.splitext(fn)[2][2:end]

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

-const _imagemagick_initialized = Ref(false)

-function buildanimation(animdir::AbstractString, fn::AbstractString;
-                        fps::Integer = 20, loop::Integer = 0)
+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)
-    try
-        if !_imagemagick_initialized[]
-            file = joinpath(Pkg.dir("ImageMagick"), "deps","deps.jl")
-            if isfile(file) && !haskey(ENV, "MAGICK_CONFIGURE_PATH")
-                include(file)
-            end
-            _imagemagick_initialized[] = true
+
+    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
-
-        # prefix = get(ENV, "MAGICK_CONFIGURE_PATH", "")
-        # high quality
-        speed = round(Int, 100 / fps)
-        run(`convert -delay $speed -loop $loop $(joinpath(animdir, "*.png")) -alpha off $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 -loop $loop -i $(animdir)/%06d.png -y $fn`)
-        # run(`ffmpeg -v warning -i  "fps=$fps,scale=320:-1:flags=lanczos"`)
+    else
+        run(`ffmpeg -v 0 -framerate $fps -loop $loop -i $(animdir)/%06d.png -pix_fmt yuv420p -y $fn`)
    end

-    info("Saved animation to ", fn)
+    show_msg && info("Saved animation to ", fn)
    AnimatedGif(fn)
 end

@@ -117,6 +116,7 @@ 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 +129,7 @@ function _animate(forloop::Expr, args...; callgif = false)
    # filter every `freq` frames (starting with the first frame)
    @assert n == 2
    freq = args[2]
-    @assert isa(freq, Integer) && freq > 0
+    freqassert = :(@assert isa($freq, Integer) && $freq > 0)
    :(mod1($countersym, $freq) == 1)

  elseif args[1] == :when
@@ -149,6 +149,7 @@ 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
@@ -21,7 +21,7 @@ const _arg_desc = KW(
 :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`.",
 :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. For histogram-types, defines the number of bins, or the edges, of the histogram.",
+: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)`",
 :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",
@@ -40,9 +40,10 @@ 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. Should normalize histogram types?  Trying for area == 1.",
+:normalize         	=> "Bool or Symbol. Histogram normalization mode. Possible values are: false/:none (no normalization, default), true/:pdf (normalize to a discrete Probability Density Function, where the total area of the bins is 1), :probability (bin heights sum to 1) and :density (the area of each bin, rather than the height, is equal to the counts - useful for uneven bin sizes).",
 :weights           	=> "AbstractVector. Used in histogram types for weighted counts.",
 :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.",
@@ -66,24 +67,34 @@ const _arg_desc = KW(
 :dpi 					  => "Number.  Dots Per Inch of output figures",
 :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`",
-:titlefont                => "Font. Font of subplot title.",
+: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",
 :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.",
@@ -94,6 +105,8 @@ const _arg_desc = KW(
 :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).",
@@ -103,12 +116,28 @@ const _arg_desc = KW(
 :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.",
-:tickfont  				  => "Font. Font of axis tick labels.",
-:guidefont 				  => "Font. Font of axis guide (label).",
+: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",
 :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`"
 )
@@ -35,7 +35,9 @@ const _3dTypes = [
 ]
 const _allTypes = vcat([
    :none, :line, :path, :steppre, :steppost, :sticks, :scatter,
-    :heatmap, :hexbin, :histogram, :histogram2d, :histogram3d, :density, :bar, :hline, :vline,
+    :heatmap, :hexbin, :barbins, :barhist, :histogram, :scatterbins,
+    :scatterhist, :stepbins, :stephist, :bins2d, :histogram2d, :histogram3d,
+    :density, :bar, :hline, :vline,
    :contour, :pie, :shape, :image
 ], _3dTypes)

@@ -65,6 +67,7 @@ const _typeAliases = Dict{Symbol,Symbol}(
    :polygon       => :shape,
    :box           => :boxplot,
    :velocity      => :quiver,
+    :vectorfield   => :quiver,
    :gradient      => :quiver,
    :img           => :image,
    :imshow        => :image,
@@ -77,9 +80,13 @@ const _typeAliases = Dict{Symbol,Symbol}(

 add_non_underscore_aliases!(_typeAliases)

-like_histogram(seriestype::Symbol) = seriestype in (:histogram, :density)
-like_line(seriestype::Symbol)      = seriestype in (:line, :path, :steppre, :steppost)
-like_surface(seriestype::Symbol)   = seriestype in (:contour, :contourf, :contour3d, :heatmap, :surface, :wireframe, :image)
+const _histogram_like = [:histogram, :barhist, :barbins]
+const _line_like = [:line, :path, :steppre, :steppost]
+const _surface_like = [:contour, :contourf, :contour3d, :heatmap, :surface, :wireframe, :image]
+
+like_histogram(seriestype::Symbol) = seriestype in _histogram_like
+like_line(seriestype::Symbol)      = seriestype in _line_like
+like_surface(seriestype::Symbol)   = seriestype in _surface_like

 is3d(seriestype::Symbol) = seriestype in _3dTypes
 is3d(series::Series) = is3d(series.d)
@@ -152,12 +159,75 @@ const _markerAliases = Dict{Symbol,Symbol}(
    :spike        => :vline,
 )

+const _positionAliases = Dict{Symbol,Symbol}(
+    :top_left      => :topleft,
+    :tl            => :topleft,
+    :top_center    => :topcenter,
+    :tc            => :topcenter,
+    :top_right     => :topright,
+    :tr            => :topright,
+    :bottom_left   => :bottomleft,
+    :bl            => :bottomleft,
+    :bottom_center => :bottomcenter,
+    :bc            => :bottomcenter,
+    :bottom_right  => :bottomright,
+    :br            => :bottomright,
+)
+
 const _allScales = [:identity, :ln, :log2, :log10, :asinh, :sqrt]
+const _logScales = [:ln, :log2, :log10]
+const _logScaleBases = Dict(:ln => e, :log2 => 2.0, :log10 => 10.0)
 const _scaleAliases = Dict{Symbol,Symbol}(
    :none => :identity,
    :log  => :log10,
 )

+const _allGridSyms = [:x, :y, :z,
+                    :xy, :xz, :yx, :yz, :zx, :zy,
+                    :xyz, :xzy, :yxz, :yzx, :zxy, :zyx,
+                    :all, :both, :on, :yes, :show,
+                    :none, :off, :no, :hide]
+const _allGridArgs = [_allGridSyms; string.(_allGridSyms); nothing]
+hasgrid(arg::Void, letter) = false
+hasgrid(arg::Bool, letter) = arg
+function hasgrid(arg::Symbol, letter)
+    if arg in _allGridSyms
+        arg in (:all, :both, :on) || contains(string(arg), string(letter))
+    else
+        warn("Unknown grid argument $arg; $(Symbol(letter, :grid)) was set to `true` instead.")
+        true
+    end
+end
+hasgrid(arg::AbstractString, letter) = hasgrid(Symbol(arg), letter)
+
+const _allShowaxisSyms = [:x, :y, :z,
+                    :xy, :xz, :yx, :yz, :zx, :zy,
+                    :xyz, :xzy, :yxz, :yzx, :zxy, :zyx,
+                    :all, :both, :on, :yes, :show,
+                    :off, :no, :hide]
+const _allShowaxisArgs = [_allGridSyms; string.(_allGridSyms)]
+showaxis(arg::Void, letter) = false
+showaxis(arg::Bool, letter) = arg
+function showaxis(arg::Symbol, letter)
+    if arg in _allGridSyms
+        arg in (:all, :both, :on, :yes) || contains(string(arg), string(letter))
+    else
+        warn("Unknown showaxis argument $arg; $(Symbol(letter, :showaxis)) was set to `true` instead.")
+        true
+    end
+end
+showaxis(arg::AbstractString, letter) = hasgrid(Symbol(arg), letter)
+
+const _allFramestyles = [:box, :semi, :axes, :origin, :zerolines, :grid, :none]
+const _framestyleAliases = Dict{Symbol, Symbol}(
+    :frame              => :box,
+    :border             => :box,
+    :on                 => :box,
+    :transparent        => :semi,
+    :semitransparent    => :semi,
+)
+
+const _bar_width = 0.8
 # -----------------------------------------------------------------------------

 const _series_defaults = KW(
@@ -167,7 +237,7 @@ const _series_defaults = KW(
    :seriestype        => :path,
    :linestyle         => :solid,
    :linewidth         => :auto,
-    :linecolor         => :match,
+    :linecolor         => :auto,
    :linealpha         => nothing,
    :fillrange         => nothing,   # ribbons, areas, etc
    :fillcolor         => :match,
@@ -180,7 +250,7 @@ const _series_defaults = KW(
    :markerstrokewidth => 1,
    :markerstrokecolor => :match,
    :markerstrokealpha => nothing,
-    :bins              => 30,        # number of bins for hists
+    :bins              => :auto,        # number of bins for hists
    :smooth            => false,     # regression line?
    :group             => nothing,   # groupby vector
    :x                 => nothing,
@@ -202,6 +272,7 @@ const _series_defaults = KW(
    :normalize         => false,     # do we want a normalized histogram?
    :weights           => nothing,   # optional weights for histograms (1D and 2D)
    :contours          => false,     # add contours to 3d surface and wireframe plots
+    :contour_labels    => false,
    :match_dimensions  => false,     # do rows match x (true) or y (false) for heatmap/image/spy? see issue 196
                                     # this ONLY effects whether or not the z-matrix is transposed for a heatmap display!
    :subplot           => :auto,     # which subplot(s) does this series belong to?
@@ -209,6 +280,7 @@ const _series_defaults = KW(
    :primary            => true,     # when true, this "counts" as a series for color selection, etc.  the main use is to allow
                                     #     one logical series to be broken up (path and markers, for example)
    :hover              => nothing,  # text to display when hovering over the data points
+    :stride             => (1,1),    # array stride for wireframe/surface, the first element is the row stride and the second is the column stride.
 )


@@ -217,6 +289,7 @@ const _plot_defaults = KW(
    :background_color            => colorant"white",   # default for all backgrounds,
    :background_color_outside    => :match,            # background outside grid,
    :foreground_color            => :auto,             # default for all foregrounds, and title color,
+    :fontfamily                  => "sans-serif",
    :size                        => (600,400),
    :pos                         => (0,0),
    :window_title                 => "Plots.jl",
@@ -236,20 +309,30 @@ const _plot_defaults = KW(
 const _subplot_defaults = KW(
    :title                    => "",
    :title_location           => :center,           # also :left or :right
-    :titlefont                => font(14),
+    :fontfamily_subplot       => :match,
+    :titlefontfamily          => :match,
+    :titlefontsize            => 14,
+    :titlefonthalign          => :hcenter,
+    :titlefontvalign          => :vcenter,
+    :titlefontrotation        => 0.0,
+    :titlefontcolor           => :match,
    :background_color_subplot => :match,            # default for other bg colors... match takes plot default
    :background_color_legend  => :match,            # background of legend
    :background_color_inside  => :match,            # background inside grid
    :foreground_color_subplot => :match,            # default for other fg colors... match takes plot default
    :foreground_color_legend  => :match,            # foreground of legend
-    :foreground_color_grid    => :match,            # grid color
    :foreground_color_title   => :match,            # title color
    :color_palette            => :auto,
    :legend                   => :best,
+    :legendtitle              => nothing,
    :colorbar                 => :legend,
    :clims                    => :auto,
-    :legendfont               => font(8),
-    :grid                     => true,
+    :legendfontfamily         => :match,
+    :legendfontsize           => 8,
+    :legendfonthalign         => :hcenter,
+    :legendfontvalign         => :vcenter,
+    :legendfontrotation       => 0.0,
+    :legendfontcolor          => :match,
    :annotations              => [],                # annotation tuples... list of (x,y,annotation)
    :projection               => :none,             # can also be :polar or :3d
    :aspect_ratio             => :none,             # choose from :none or :equal
@@ -260,6 +343,8 @@ const _subplot_defaults = KW(
    :bottom_margin            => :match,
    :subplot_index            => -1,
    :colorbar_title           => "",
+    :framestyle               => :axes,
+    :camera                   => (30,30),
 )

 const _axis_defaults = KW(
@@ -270,8 +355,18 @@ const _axis_defaults = KW(
    :rotation  => 0,
    :flip      => false,
    :link      => [],
-    :tickfont  => font(8),
-    :guidefont => font(11),
+    :tickfontfamily         => :match,
+    :tickfontsize           => 8,
+    :tickfonthalign         => :hcenter,
+    :tickfontvalign         => :vcenter,
+    :tickfontrotation       => 0.0,
+    :tickfontcolor          => :match,
+    :guidefontfamily         => :match,
+    :guidefontsize           => 11,
+    :guidefonthalign         => :hcenter,
+    :guidefontvalign         => :vcenter,
+    :guidefontrotation       => 0.0,
+    :guidefontcolor          => :match,
    :foreground_color_axis   => :match,            # axis border/tick colors,
    :foreground_color_border => :match,            # plot area border/spines,
    :foreground_color_text   => :match,            # tick text color,
@@ -279,6 +374,13 @@ const _axis_defaults = KW(
    :discrete_values => [],
    :formatter => :auto,
    :mirror => false,
+    :grid                     => true,
+    :foreground_color_grid    => :match,            # grid color
+    :gridalpha                => 0.1,
+    :gridstyle                => :solid,
+    :gridlinewidth            => 0.5,
+    :tick_direction           => :in,
+    :showaxis                 => true,
 )

 const _suppress_warnings = Set{Symbol}([
@@ -330,6 +432,15 @@ const _all_defaults = KW[
    _axis_defaults_byletter
 ]

+const _initial_defaults = deepcopy(_all_defaults)
+const _initial_axis_defaults = deepcopy(_axis_defaults)
+
+# to be able to reset font sizes to initial values
+const _initial_fontsizes = Dict(:titlefontsize  => _subplot_defaults[:titlefontsize],
+                                :legendfontsize => _subplot_defaults[:legendfontsize],
+                                :tickfontsize   => _axis_defaults[:tickfontsize],
+                                :guidefontsize  => _axis_defaults[:guidefontsize])
+
 const _all_args = sort(collect(union(map(keys, _all_defaults)...)))

 RecipesBase.is_key_supported(k::Symbol) = is_attr_supported(k)
@@ -390,7 +501,7 @@ add_aliases(:foreground_color_title, :fg_title, :fgtitle, :fgcolor_title, :fg_co
 add_aliases(:foreground_color_axis, :fg_axis, :fgaxis, :fgcolor_axis, :fg_color_axis, :foreground_axis,
                            :foreground_colour_axis, :fgcolour_axis, :fg_colour_axis, :axiscolor)
 add_aliases(:foreground_color_border, :fg_border, :fgborder, :fgcolor_border, :fg_color_border, :foreground_border,
-                            :foreground_colour_border, :fgcolour_border, :fg_colour_border, :bordercolor, :border)
+                            :foreground_colour_border, :fgcolour_border, :fg_colour_border, :bordercolor)
 add_aliases(:foreground_color_text, :fg_text, :fgtext, :fgcolor_text, :fg_color_text, :foreground_text,
                            :foreground_colour_text, :fgcolour_text, :fg_colour_text, :textcolor)
 add_aliases(:foreground_color_guide, :fg_guide, :fgguide, :fgcolor_guide, :fg_color_guide, :foreground_guide,
@@ -402,6 +513,7 @@ add_aliases(:linealpha, :la, :lalpha, :lα, :lineopacity, :lopacity)
 add_aliases(:markeralpha, :ma, :malpha, :mα, :markeropacity, :mopacity)
 add_aliases(:markerstrokealpha, :msa, :msalpha, :msα, :markerstrokeopacity, :msopacity)
 add_aliases(:fillalpha, :fa, :falpha, :fα, :fillopacity, :fopacity)
+add_aliases(:gridalpha, :ga, :galpha, :gα, :gridopacity, :gopacity)

 # series attributes
 add_aliases(:seriestype, :st, :t, :typ, :linetype, :lt)
@@ -434,6 +546,7 @@ add_aliases(:zticks, :ztick)
 add_aliases(:zrotation, :zrot, :zr)
 add_aliases(:fill_z, :fillz, :fz, :surfacecolor, :surfacecolour, :sc, :surfcolor, :surfcolour)
 add_aliases(:legend, :leg, :key)
+add_aliases(:legendtitle, :legend_title, :labeltitle, :label_title, :leg_title, :key_title)
 add_aliases(:colorbar, :cb, :cbar, :colorkey)
 add_aliases(:clims, :clim, :cbarlims, :cbar_lims, :climits, :color_limits)
 add_aliases(:smooth, :regression, :reg)
@@ -445,7 +558,7 @@ add_aliases(:color_palette, :palette)
 add_aliases(:overwrite_figure, :clf, :clearfig, :overwrite, :reuse)
 add_aliases(:xerror, :xerr, :xerrorbar)
 add_aliases(:yerror, :yerr, :yerrorbar, :err, :errorbar)
-add_aliases(:quiver, :velocity, :quiver2d, :gradient)
+add_aliases(:quiver, :velocity, :quiver2d, :gradient, :vectorfield)
 add_aliases(:normalize, :norm, :normed, :normalized)
 add_aliases(:aspect_ratio, :aspectratio, :axis_ratio, :axisratio, :ratio)
 add_aliases(:match_dimensions, :transpose, :transpose_z)
@@ -456,7 +569,13 @@ add_aliases(:series_annotations, :series_ann, :seriesann, :series_anns, :seriesa
 add_aliases(:html_output_format, :format, :fmt, :html_format)
 add_aliases(:orientation, :direction, :dir)
 add_aliases(:inset_subplots, :inset, :floating)
-
+add_aliases(:stride, :wirefame_stride, :surface_stride, :surf_str, :str)
+add_aliases(:gridlinewidth, :gridwidth, :grid_linewidth, :grid_width, :gridlw, :grid_lw)
+add_aliases(:gridstyle, :grid_style, :gridlinestyle, :grid_linestyle, :grid_ls, :gridls)
+add_aliases(:framestyle, :frame_style, :frame, :axesstyle, :axes_style, :boxstyle, :box_style, :box, :borderstyle, :border_style, :border)
+add_aliases(:tick_direction, :tickdirection, :tick_dir, :tickdir, :tick_orientation, :tickorientation, :tick_or, :tickor)
+add_aliases(:camera, :cam, :viewangle, :view_angle)
+add_aliases(:contour_labels, :contourlabels, :clabels, :clabs)

 # add all pluralized forms to the _keyAliases dict
 for arg in keys(_series_defaults)
@@ -475,7 +594,6 @@ end
 `default(; kw...)` will set the current default value for each key/value pair
 `default(d, key)` returns the key from d if it exists, otherwise `default(key)`
 """
-
 function default(k::Symbol)
    k = get(_keyAliases, k, k)
    for defaults in _all_defaults
@@ -505,6 +623,8 @@ function default(k::Symbol, v)
 end

 function default(; kw...)
+    kw = KW(kw)
+    preprocessArgs!(kw)
    for (k,v) in kw
        default(k, v)
    end
@@ -514,7 +634,10 @@ function default(d::KW, k::Symbol)
    get(d, k, default(k))
 end

-
+function reset_defaults()
+    foreach(merge!, _all_defaults, _initial_defaults)
+    merge!(_axis_defaults, _initial_axis_defaults)
+end

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

@@ -617,6 +740,9 @@ function processFillArg(d::KW, arg)
        arg.color == nothing || (d[:fillcolor] = arg.color == :auto ? :auto : plot_color(arg.color))
        arg.alpha == nothing || (d[:fillalpha] = arg.alpha)

+    elseif typeof(arg) <: Bool
+        d[:fillrange] = arg ? 0 : nothing
+
    # fillrange function
    elseif allFunctions(arg)
        d[:fillrange] = arg
@@ -625,6 +751,10 @@ function processFillArg(d::KW, arg)
    elseif allAlphas(arg)
        d[:fillalpha] = arg

+    # fillrange provided as vector or number
+    elseif typeof(arg) <: Union{AbstractArray{<:Real}, Real}
+        d[:fillrange] = arg
+
    elseif !handleColors!(d, arg, :fillcolor)

        d[:fillrange] = arg
@@ -633,6 +763,68 @@ function processFillArg(d::KW, arg)
    return
 end

+
+function processGridArg!(d::KW, arg, letter)
+    if arg in _allGridArgs || isa(arg, Bool)
+        d[Symbol(letter, :grid)] = hasgrid(arg, letter)
+
+    elseif allStyles(arg)
+        d[Symbol(letter, :gridstyle)] = arg
+
+    elseif typeof(arg) <: Stroke
+        arg.width == nothing || (d[Symbol(letter, :gridlinewidth)] = arg.width)
+        arg.color == nothing || (d[Symbol(letter, :foreground_color_grid)] = arg.color in (:auto, :match) ? :match : plot_color(arg.color))
+        arg.alpha == nothing || (d[Symbol(letter, :gridalpha)] = arg.alpha)
+        arg.style == nothing || (d[Symbol(letter, :gridstyle)] = arg.style)
+
+    # linealpha
+    elseif allAlphas(arg)
+        d[Symbol(letter, :gridalpha)] = arg
+
+    # linewidth
+    elseif allReals(arg)
+        d[Symbol(letter, :gridlinewidth)] = arg
+
+    # color
+    elseif !handleColors!(d, arg, Symbol(letter, :foreground_color_grid))
+        warn("Skipped grid arg $arg.")
+
+    end
+end
+
+function processFontArg!(d::KW, fontname::Symbol, arg)
+    T = typeof(arg)
+    if T <: Font
+        d[Symbol(fontname, :family)] = arg.family
+        d[Symbol(fontname, :size)] = arg.pointsize
+        d[Symbol(fontname, :halign)] = arg.halign
+        d[Symbol(fontname, :valign)] = arg.valign
+        d[Symbol(fontname, :rotation)] = arg.rotation
+        d[Symbol(fontname, :color)] = arg.color
+    elseif arg == :center
+        d[Symbol(fontname, :halign)] = :hcenter
+        d[Symbol(fontname, :valign)] = :vcenter
+    elseif arg in (:hcenter, :left, :right)
+        d[Symbol(fontname, :halign)] = arg
+    elseif arg in (:vcenter, :top, :bottom)
+        d[Symbol(fontname, :valign)] = arg
+    elseif T <: Colorant
+        d[Symbol(fontname, :color)] = arg
+    elseif T <: Symbol || T <: AbstractString
+        try
+            d[Symbol(fontname, :color)] = parse(Colorant, string(arg))
+        catch
+            d[Symbol(fontname, :family)] = string(arg)
+        end
+    elseif typeof(arg) <: Integer
+        d[Symbol(fontname, :size)] = arg
+    elseif typeof(arg) <: Real
+        d[Symbol(fontname, :rotation)] = convert(Float64, arg)
+    else
+        warn("Skipped font arg: $arg ($(typeof(arg)))")
+    end
+end
+
 _replace_markershape(shape::Symbol) = get(_markerAliases, shape, shape)
 _replace_markershape(shapes::AVec) = map(_replace_markershape, shapes)
 _replace_markershape(shape) = shape
@@ -651,12 +843,13 @@ function preprocessArgs!(d::KW)
    replaceAliases!(d, _keyAliases)

    # clear all axis stuff
-    if haskey(d, :axis) && d[:axis] in (:none, nothing, false)
-        d[:ticks] = nothing
-        d[:foreground_color_border] = RGBA(0,0,0,0)
-        d[:grid] = false
-        delete!(d, :axis)
-    end
+    # if haskey(d, :axis) && d[:axis] in (:none, nothing, false)
+    #     d[:ticks] = nothing
+    #     d[:foreground_color_border] = RGBA(0,0,0,0)
+    #     d[:foreground_color_axis] = RGBA(0,0,0,0)
+    #     d[:grid] = false
+    #     delete!(d, :axis)
+    # end
    # for letter in (:x, :y, :z)
    #     asym = Symbol(letter, :axis)
    #     if haskey(d, asym) || d[asym] in (:none, nothing, false)
@@ -665,6 +858,13 @@ function preprocessArgs!(d::KW)
    #     end
    # end

+    # handle axis args common to all axis
+    args = pop!(d, :axis, ())
+    for arg in wraptuple(args)
+        for letter in (:x, :y, :z)
+            process_axis_arg!(d, arg, letter)
+        end
+    end
    # handle axis args
    for letter in (:x, :y, :z)
        asym = Symbol(letter, :axis)
@@ -676,6 +876,48 @@ function preprocessArgs!(d::KW)
        end
    end

+    # handle grid args common to all axes
+    args = pop!(d, :grid, ())
+    for arg in wraptuple(args)
+        for letter in (:x, :y, :z)
+            processGridArg!(d, arg, letter)
+        end
+    end
+    # handle individual axes grid args
+    for letter in (:x, :y, :z)
+        gridsym = Symbol(letter, :grid)
+        args = pop!(d, gridsym, ())
+        for arg in wraptuple(args)
+            processGridArg!(d, arg, letter)
+        end
+    end
+
+    # fonts
+    for fontname in (:titlefont, :legendfont)
+        args = pop!(d, fontname, ())
+        for arg in wraptuple(args)
+            processFontArg!(d, fontname, arg)
+        end
+    end
+    # handle font args common to all axes
+    for fontname in (:tickfont, :guidefont)
+        args = pop!(d, fontname, ())
+        for arg in wraptuple(args)
+            for letter in (:x, :y, :z)
+                processFontArg!(d, Symbol(letter, fontname), arg)
+            end
+        end
+    end
+    # handle individual axes font args
+    for letter in (:x, :y, :z)
+        for fontname in (:tickfont, :guidefont)
+            args = pop!(d, Symbol(letter, fontname), ())
+            for arg in wraptuple(args)
+                processFontArg!(d, Symbol(letter, fontname), arg)
+            end
+        end
+    end
+
    # handle line args
    for arg in wraptuple(pop!(d, :line, ()))
        processLineArg(d, arg)
@@ -694,6 +936,9 @@ function preprocessArgs!(d::KW)
    delete!(d, :marker)
    if haskey(d, :markershape)
        d[:markershape] = _replace_markershape(d[:markershape])
+        if d[:markershape] == :none && d[:seriestype] in (:scatter, :scatterbins, :scatterhist, :scatter3d) #the default should be :auto, not :none, so that :none can be set explicitly and would be respected
+            d[:markershape] = :circle
+        end
    elseif anymarker
        d[:markershape_to_add] = :circle  # add it after _apply_recipe
    end
@@ -737,6 +982,11 @@ function preprocessArgs!(d::KW)
        d[:colorbar] = convertLegendValue(d[:colorbar])
    end

+    # framestyle
+    if haskey(d, :framestyle) && haskey(_framestyleAliases, d[:framestyle])
+        d[:framestyle] = _framestyleAliases[d[:framestyle]]
+    end
+
    # warnings for moved recipes
    st = get(d, :seriestype, :path)
    if st in (:boxplot, :violin, :density) && !isdefined(Main, :StatPlots)
@@ -749,28 +999,49 @@ end
 # -----------------------------------------------------------------------------

 "A special type that will break up incoming data into groups, and allow for easier creation of grouped plots"
-type GroupBy
+mutable struct GroupBy
    groupLabels::Vector           # length == numGroups
    groupIds::Vector{Vector{Int}} # list of indices for each group
 end


 # this is when given a vector-type of values to group by
-function extractGroupArgs(v::AVec, args...)
+function extractGroupArgs(v::AVec, args...; legendEntry = string)
    groupLabels = sort(collect(unique(v)))
    n = length(groupLabels)
    if n > 100
        warn("You created n=$n groups... Is that intended?")
    end
    groupIds = Vector{Int}[filter(i -> v[i] == glab, 1:length(v)) for glab in groupLabels]
-    GroupBy(map(string, groupLabels), groupIds)
+    GroupBy(map(legendEntry, groupLabels), groupIds)
 end

+legendEntryFromTuple(ns::Tuple) = join(ns, ' ')
+
+# this is when given a tuple of vectors of values to group by
+function extractGroupArgs(vs::Tuple, args...)
+    isempty(vs) && return GroupBy([""], [1:size(args[1],1)])
+    v = map(tuple, vs...)
+    extractGroupArgs(v, args...; legendEntry = legendEntryFromTuple)
+end
+
+# allow passing NamedTuples for a named legend entry
+@require NamedTuples begin
+    legendEntryFromTuple(ns::NamedTuples.NamedTuple) =
+        join(["$k = $v" for (k, v) in zip(keys(ns), values(ns))], ", ")
+
+    function extractGroupArgs(vs::NamedTuples.NamedTuple, args...)
+        isempty(vs) && return GroupBy([""], [1:size(args[1],1)])
+        NT = eval(:(NamedTuples.@NT($(keys(vs)...)))){map(eltype, vs)...}
+        v = map(NT, vs...)
+        extractGroupArgs(v, args...; legendEntry = legendEntryFromTuple)
+    end
+end

 # expecting a mapping of "group label" to "group indices"
-function extractGroupArgs{T, V<:AVec{Int}}(idxmap::Dict{T,V}, args...)
+function extractGroupArgs(idxmap::Dict{T,V}, args...) where {T, V<:AVec{Int}}
    groupLabels = sortedkeys(idxmap)
-    groupIds = VecI[collect(idxmap[k]) for k in groupLabels]
+    groupIds = Vector{Int}[collect(idxmap[k]) for k in groupLabels]
    GroupBy(groupLabels, groupIds)
 end

@@ -851,7 +1122,7 @@ function convertLegendValue(val::Symbol)
        :best
    elseif val in (:no, :none)
        :none
-    elseif val in (:right, :left, :top, :bottom, :inside, :best, :legend, :topright, :topleft, :bottomleft, :bottomright)
+    elseif val in (:right, :left, :top, :bottom, :inside, :best, :legend, :topright, :topleft, :bottomleft, :bottomright, :outertopright)
        val
    else
        error("Invalid symbol for legend: $val")
@@ -859,7 +1130,7 @@ function convertLegendValue(val::Symbol)
 end
 convertLegendValue(val::Bool) = val ? :best : :none
 convertLegendValue(val::Void) = :none
-convertLegendValue{S<:Real, T<:Real}(v::Tuple{S,T}) = v
+convertLegendValue(v::Tuple{S,T}) where {S<:Real, T<:Real} = v
 convertLegendValue(v::AbstractArray) = map(convertLegendValue, v)

 # -----------------------------------------------------------------------------
@@ -928,12 +1199,17 @@ const _match_map = KW(
    :background_color_legend  => :background_color_subplot,
    :background_color_inside  => :background_color_subplot,
    :foreground_color_legend  => :foreground_color_subplot,
-    :foreground_color_grid    => :foreground_color_subplot,
    :foreground_color_title   => :foreground_color_subplot,
    :left_margin   => :margin,
    :top_margin    => :margin,
    :right_margin  => :margin,
    :bottom_margin => :margin,
+    :titlefontfamily          => :fontfamily_subplot,
+    :legendfontfamily         => :fontfamily_subplot,
+    :titlefontcolor           => :foreground_color_subplot,
+    :legendfontcolor          => :foreground_color_subplot,
+    :tickfontcolor            => :foreground_color_text,
+    :guidefontcolor           => :foreground_color_guide,
 )

 # these can match values from the parent container (axis --> subplot --> plot)
@@ -942,8 +1218,12 @@ const _match_map2 = KW(
    :foreground_color_subplot => :foreground_color,
    :foreground_color_axis    => :foreground_color_subplot,
    :foreground_color_border  => :foreground_color_subplot,
+    :foreground_color_grid    => :foreground_color_subplot,
    :foreground_color_guide   => :foreground_color_subplot,
    :foreground_color_text    => :foreground_color_subplot,
+    :fontfamily_subplot       => :fontfamily,
+    :tickfontfamily           => :fontfamily_subplot,
+    :guidefontfamily          => :fontfamily_subplot,
 )

 # properly retrieve from plt.attr, passing `:match` to the correct key
@@ -1048,11 +1328,9 @@ end

 function _update_subplot_periphery(sp::Subplot, anns::AVec)
    # extend annotations, and ensure we always have a (x,y,PlotText) tuple
-    newanns = vcat(anns, sp[:annotations])
-    for (i,ann) in enumerate(newanns)
-        x,y,tmp = ann
-        ptxt = isa(tmp, PlotText) ? tmp : text(tmp)
-        newanns[i] = (x,y,ptxt)
+    newanns = []
+    for ann in vcat(anns, sp[:annotations])
+        append!(newanns, process_annotation(sp, ann...))
    end
    sp.attr[:annotations] = newanns

@@ -1076,7 +1354,6 @@ function _update_subplot_colors(sp::Subplot)
    # foreground colors
    color_or_nothing!(sp.attr, :foreground_color_subplot)
    color_or_nothing!(sp.attr, :foreground_color_legend)
-    color_or_nothing!(sp.attr, :foreground_color_grid)
    color_or_nothing!(sp.attr, :foreground_color_title)
    return
 end
@@ -1128,6 +1405,7 @@ function _update_axis_colors(axis::Axis)
    color_or_nothing!(axis.d, :foreground_color_border)
    color_or_nothing!(axis.d, :foreground_color_guide)
    color_or_nothing!(axis.d, :foreground_color_text)
+    color_or_nothing!(axis.d, :foreground_color_grid)
    return
 end

@@ -1164,24 +1442,26 @@ end

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

+has_black_border_for_default(st) = error("The seriestype attribute only accepts Symbols, you passed the $(typeof(st)) $st.")
+has_black_border_for_default(st::Function) = error("The seriestype attribute only accepts Symbols, you passed the function $st.")
 function has_black_border_for_default(st::Symbol)
    like_histogram(st) || st in (:hexbin, :bar, :shape)
 end


 # converts a symbol or string into a colorant (Colors.RGB), and assigns a color automatically
-function getSeriesRGBColor(c, α, sp::Subplot, n::Int)
+function getSeriesRGBColor(c, sp::Subplot, n::Int)
    if c == :auto
        c = autopick(sp[:color_palette], n)
    elseif isa(c, Int)
        c = autopick(sp[:color_palette], c)
    end
-    plot_color(c, α)
+    plot_color(c)
 end

 function ensure_gradient!(d::KW, csym::Symbol, asym::Symbol)
    if !isa(d[csym], ColorGradient)
-        d[csym] = cgrad(alpha = d[asym])
+        d[csym] = typeof(d[asym]) <: AbstractVector ? cgrad() : cgrad(alpha = d[asym])
    end
 end

@@ -1193,26 +1473,19 @@ function _replace_linewidth(d::KW)
 end

 function _add_defaults!(d::KW, plt::Plot, sp::Subplot, commandIndex::Int)
-    pkg = plt.backend
-    globalIndex = d[:series_plotindex]
-
    # add default values to our dictionary, being careful not to delete what we just added!
    for (k,v) in _series_defaults
        slice_arg!(d, d, k, v, commandIndex, false)
    end

-    # this is how many series belong to this subplot
-    # plotIndex = count(series -> series.d[:subplot] === sp && series.d[:primary], plt.series_list)
-    plotIndex = 0
-    for series in sp.series_list
-        if series[:primary]
-            plotIndex += 1
-        end
-    end
-    # plotIndex = count(series -> series[:primary], sp.series_list)
-    if get(d, :primary, true)
-        plotIndex += 1
-    end
+    return d
+end
+
+
+function _update_series_attributes!(d::KW, plt::Plot, sp::Subplot)
+    pkg = plt.backend
+    globalIndex = d[:series_plotindex]
+    plotIndex = _series_index(d, sp)

    aliasesAndAutopick(d, :linestyle, _styleAliases, supported_styles(pkg), plotIndex)
    aliasesAndAutopick(d, :markershape, _markerAliases, supported_markers(pkg), plotIndex)
@@ -1228,39 +1501,46 @@ function _add_defaults!(d::KW, plt::Plot, sp::Subplot, commandIndex::Int)
    end

    # update series color
-    d[:seriescolor] = getSeriesRGBColor(d[:seriescolor], d[:seriesalpha], sp, plotIndex)
+    d[:seriescolor] = getSeriesRGBColor.(d[:seriescolor], sp, plotIndex)

    # update other colors
    for s in (:line, :marker, :fill)
        csym, asym = Symbol(s,:color), Symbol(s,:alpha)
-        d[csym] = if d[csym] == :match
-            plot_color(if has_black_border_for_default(d[:seriestype]) && s == :line
+        d[csym] = if d[csym] == :auto
+            plot_color.(if has_black_border_for_default(d[:seriestype]) && s == :line
                sp[:foreground_color_subplot]
            else
                d[:seriescolor]
-            end, d[asym])
+            end)
+        elseif d[csym] == :match
+            plot_color.(d[:seriescolor])
        else
-            getSeriesRGBColor(d[csym], d[asym], sp, plotIndex)
+            getSeriesRGBColor.(d[csym], sp, plotIndex)
        end
    end

    # update markerstrokecolor
    d[:markerstrokecolor] = if d[:markerstrokecolor] == :match
-        plot_color(sp[:foreground_color_subplot], d[:markerstrokealpha])
+        plot_color(sp[:foreground_color_subplot])
+    elseif d[:markerstrokecolor] == :auto
+        getSeriesRGBColor.(d[:markercolor], sp, plotIndex)
    else
-        getSeriesRGBColor(d[:markerstrokecolor], d[:markerstrokealpha], sp, plotIndex)
+        getSeriesRGBColor.(d[:markerstrokecolor], sp, plotIndex)
    end

-    # if marker_z or line_z are set, ensure we have a gradient
+    # if marker_z, fill_z or line_z are set, ensure we have a gradient
    if d[:marker_z] != nothing
        ensure_gradient!(d, :markercolor, :markeralpha)
    end
    if d[:line_z] != nothing
        ensure_gradient!(d, :linecolor, :linealpha)
    end
+    if d[:fill_z] != nothing
+        ensure_gradient!(d, :fillcolor, :fillalpha)
+    end

    # scatter plots don't have a line, but must have a shape
-    if d[:seriestype] in (:scatter, :scatter3d)
+    if d[:seriestype] in (:scatter, :scatterbins, :scatterhist, :scatter3d)
        d[:linewidth] = 0
        if d[:markershape] == :none
            d[:markershape] = :circle
@@ -1275,3 +1555,19 @@ function _add_defaults!(d::KW, plt::Plot, sp::Subplot, commandIndex::Int)
    _replace_linewidth(d)
    d
 end
+
+function _series_index(d, sp)
+    idx = 0
+    for series in series_list(sp)
+        if series[:primary]
+            idx += 1
+        end
+        if series == d
+            return idx
+        end
+    end
+    if get(d, :primary, true)
+        idx += 1
+    end
+    return idx
+end
@@ -70,13 +70,16 @@ 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

-    else
+    elseif !handleColors!(d, arg, Symbol(letter, :foreground_color_axis))
        warn("Skipped $(letter)axis arg $arg")

    end
@@ -118,7 +121,7 @@ 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)
-Base.extrema(axis::Axis) = (ex = axis[:extrema]; (ex.emin, ex.emax))
+ignorenan_extrema(axis::Axis) = (ex = axis[:extrema]; (ex.emin, ex.emax))


 const _scale_funcs = Dict{Symbol,Function}(
@@ -156,16 +159,52 @@ function optimal_ticks_and_labels(axis::Axis, ticks = nothing)
    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
+
    # get a list of well-laid-out ticks
-    scaled_ticks = if ticks == nothing
-        optimize_ticks(
+    if ticks == nothing
+        scaled_ticks = optimize_ticks(
            sf(amin),
            sf(amax);
-            k_min = 5, # minimum number of ticks
+            k_min = 4, # minimum number of ticks
            k_max = 8, # maximum number of ticks
        )[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
-        map(sf, filter(t -> amin <= t <= amax, ticks))
+        scaled_ticks = map(sf, (filter(t -> amin <= t <= amax, ticks)))
    end
    unscaled_ticks = map(invscalefunc(scale), scaled_ticks)

@@ -173,12 +212,20 @@ function optimal_ticks_and_labels(axis::Axis, ticks = nothing)
        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...
@@ -192,20 +239,36 @@ end

 # return (continuous_values, discrete_values) for the ticks on this axis
 function get_ticks(axis::Axis)
-    ticks = axis[:ticks]
+    ticks = _transform_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 !isempty(dvals) && ticks == :auto
+    cv, dv = if !isempty(dvals)
        # discrete ticks...
-        axis[:continuous_values], dvals
-    elseif ticks == :auto
-        # compute optimal ticks and labels
-        optimal_ticks_and_labels(axis)
-    elseif typeof(ticks) <: AVec
+        n = length(dvals)
+        rng = if ticks == :auto
+            Int[round(Int,i) for i in linspace(1, n, 15)]
+        elseif ticks == :all
+            1:n
+        elseif typeof(ticks) <: Int
+            Int[round(Int,i) for i in linspace(1, n, ticks)]
+        end
+        axis[:continuous_values][rng], dvals[rng]
+    elseif typeof(ticks) <: Symbol
+        if 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}
        # override ticks, but get the labels
        optimal_ticks_and_labels(axis, ticks)
-    elseif typeof(ticks) <: NTuple{2}
+    elseif typeof(ticks) <: NTuple{2, Any}
        # assuming we're passed (ticks, labels)
        ticks
    else
@@ -213,15 +276,13 @@ function get_ticks(axis::Axis)
    end
    # @show ticks dvals 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
+    return cv, dv
 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])
+
 # -------------------------------------------------------------------------


@@ -236,8 +297,8 @@ end


 function expand_extrema!(ex::Extrema, v::Number)
-    ex.emin = min(v, ex.emin)
-    ex.emax = max(v, ex.emax)
+    ex.emin = isfinite(v) ? min(v, ex.emin) : ex.emin
+    ex.emax = isfinite(v) ? max(v, ex.emax) : ex.emax
    ex
 end

@@ -250,13 +311,13 @@ expand_extrema!(axis::Axis, ::Void) = axis[:extrema]
 expand_extrema!(axis::Axis, ::Bool) = axis[:extrema]


-function expand_extrema!{MIN<:Number,MAX<:Number}(axis::Axis, v::Tuple{MIN,MAX})
+function expand_extrema!(axis::Axis, v::Tuple{MIN,MAX}) where {MIN<:Number,MAX<:Number}
    ex = axis[:extrema]
-    ex.emin = min(v[1], ex.emin)
-    ex.emax = max(v[2], ex.emax)
+    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
 end
-function expand_extrema!{N<:Number}(axis::Axis, v::AVec{N})
+function expand_extrema!(axis::Axis, v::AVec{N}) where N<:Number
    ex = axis[:extrema]
    for vi in v
        expand_extrema!(ex, vi)
@@ -275,6 +336,9 @@ function expand_extrema!(sp::Subplot, d::KW)
        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)
@@ -307,7 +371,7 @@ function expand_extrema!(sp::Subplot, d::KW)
    if fr == nothing && d[:seriestype] == :bar
        fr = 0.0
    end
-    if fr != nothing
+    if fr != nothing && !all3D(d)
        axis = sp.attr[vert ? :yaxis : :xaxis]
        if typeof(fr) <: Tuple
            for fri in fr
@@ -325,13 +389,22 @@ function expand_extrema!(sp::Subplot, d::KW)

        bw = d[:bar_width]
        if bw == nothing
-            bw = d[:bar_width] = mean(diff(data))
+            bw = d[:bar_width] = _bar_width * ignorenan_minimum(filter(x->x>0,diff(sort(data))))
        end
        axis = sp.attr[Symbol(dsym, :axis)]
-        expand_extrema!(axis, maximum(data) + 0.5maximum(bw))
-        expand_extrema!(axis, minimum(data) - 0.5minimum(bw))
+        expand_extrema!(axis, ignorenan_maximum(data) + 0.5maximum(bw))
+        expand_extrema!(axis, ignorenan_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)
@@ -344,8 +417,8 @@ end
 # push the limits out slightly
 function widen(lmin, lmax)
    span = lmax - lmin
-    # eps = max(1e-16, min(1e-2span, 1e-10))
-    eps = max(1e-16, 0.03span)
+    # eps = NaNMath.max(1e-16, min(1e-2span, 1e-10))
+    eps = NaNMath.max(1e-16, 0.03span)
    lmin-eps, lmax+eps
 end

@@ -384,7 +457,16 @@ function axis_limits(axis::Axis, should_widen::Bool = default_should_widen(axis)
    if !isfinite(amin) && !isfinite(amax)
        amin, amax = 0.0, 1.0
    end
-    if should_widen
+    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
        widen(amin, amax)
    else
        amin, amax
@@ -401,7 +483,7 @@ function discrete_value!(axis::Axis, dv)
    # @show axis[:discrete_map], axis[:discrete_values], dv
    if cv_idx == -1
        ex = axis[:extrema]
-        cv = max(0.5, ex.emax + 1.0)
+        cv = NaNMath.max(0.5, ex.emax + 1.0)
        expand_extrema!(axis, cv)
        push!(axis[:discrete_values], dv)
        push!(axis[:continuous_values], cv)
@@ -466,38 +548,94 @@ function axis_drawing_info(sp::Subplot)
    ymin, ymax = axis_limits(yaxis)
    xticks = get_ticks(xaxis)
    yticks = get_ticks(yaxis)
-    spine_segs = Segments(2)
-    grid_segs = Segments(2)
+    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)

-    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)))
+    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)

-        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
+            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
        end
    end

-    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
+    xticks, yticks, xaxis_segs, yaxis_segs, xtick_segs, ytick_segs, xgrid_segs, ygrid_segs, xborder_segs, yborder_segs
 end
@@ -1,12 +1,15 @@

-immutable NoBackend <: AbstractBackend end
+struct 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")

@@ -15,7 +18,7 @@ macro init_backend(s)
    sym = Symbol(str)
    T = Symbol(string(s) * "Backend")
    esc(quote
-        immutable $T <: AbstractBackend end
+        struct $T <: AbstractBackend end
        export $sym
        $sym(; kw...) = (default(; kw...); backend(Symbol($str)))
        backend_name(::$T) = Symbol($str)
@@ -48,8 +51,8 @@ _series_updated(plt::Plot, series::Series) = nothing

 _before_layout_calcs(plt::Plot) = nothing

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

 "Returns the (width,height) of a text label."
 function text_size(lablen::Int, sz::Number, rot::Number = 0)
@@ -90,7 +93,7 @@ function tick_padding(axis::Axis)
        # hgt

        # get the height of the rotated label
-        text_size(longest_label, axis[:tickfont].pointsize, rot)[2]
+        text_size(longest_label, axis[:tickfontsize], rot)[2]
    end
 end

@@ -120,7 +123,7 @@ _update_plot_object(plt::Plot) = nothing
 # ---------------------------------------------------------


-type CurrentBackend
+mutable struct CurrentBackend
  sym::Symbol
  pkg::AbstractBackend
 end
@@ -148,7 +151,7 @@ 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 ("PyPlot", "GR", "PlotlyJS", "Immerse", "Gadfly", "UnicodePlots")
+    for pkgstr in ("GR", "PyPlot", "PlotlyJS", "PGFPlots", "UnicodePlots", "InspectDR", "GLVisualize")
        if Pkg.installed(pkgstr) != nothing
            return backend(Symbol(lowercase(pkgstr)))
        end
@@ -277,6 +280,7 @@ end
@init_backend GLVisualize
@init_backend PGFPlots
@init_backend InspectDR
+@init_backend HDF5

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

@@ -1,4 +1,4 @@
-``#=
+#=
 TODO
    * move all gl_ methods to GLPlot
    * integrate GLPlot UI
@@ -7,9 +7,12 @@ TODO
    * polar plots
    * labes and axis
    * fix units in all visuals (e.g dotted lines, marker scale, surfaces)
-    * why is there so little unicode supported in the font!??!?
 =#

+@require Revise begin
+    Revise.track(Plots, joinpath(Pkg.dir("Plots"), "src", "backends", "glvisualize.jl"))
+end
+
 const _glvisualize_attr = merge_with_base_supported([
    :annotations,
    :background_color_legend, :background_color_inside, :background_color_outside,
@@ -21,11 +24,15 @@ const _glvisualize_attr = merge_with_base_supported([
    :markerstrokewidth, :markerstrokecolor, :markerstrokealpha,
    :fillrange, :fillcolor, :fillalpha,
    :bins, :bar_width, :bar_edges, :bar_position,
-    :title, :title_location, :titlefont,
+    :title, :title_location,
    :window_title,
    :guide, :lims, :ticks, :scale, :flip, :rotation,
-    :tickfont, :guidefont, :legendfont,
-    :grid, :legend, :colorbar,
+    :titlefontsize, :titlefontcolor,
+    :legendfontsize, :legendfontcolor,
+    :tickfontsize,
+    :guidefontsize, :guidefontcolor,
+    :grid, :gridalpha, :gridstyle, :gridlinewidth,
+    :legend, :colorbar,
    :marker_z,
    :line_z,
    :levels,
@@ -39,10 +46,12 @@ const _glvisualize_attr = merge_with_base_supported([
    :clims,
    :inset_subplots,
    :dpi,
-    :hover
+    :hover,
+    :framestyle,
+    :tick_direction,
 ])
 const _glvisualize_seriestype = [
-    :path, :shape,
+    :path, :shape, :straightline,
    :scatter, :hexbin,
    :bar, :boxplot,
    :heatmap, :image, :volume,
@@ -59,7 +68,7 @@ const _glvisualize_scale = [:identity, :ln, :log2, :log10]
 function _initialize_backend(::GLVisualizeBackend; kw...)
    @eval begin
        import GLVisualize, GeometryTypes, Reactive, GLAbstraction, GLWindow, Contour
-        import GeometryTypes: Point2f0, Point3f0, Vec2f0, Vec3f0, GLNormalMesh, SimpleRectangle
+        import GeometryTypes: Point2f0, Point3f0, Vec2f0, Vec3f0, GLNormalMesh, SimpleRectangle, Point, Vec
        import FileIO, Images
        export GLVisualize
        import Reactive: Signal
@@ -67,10 +76,9 @@ function _initialize_backend(::GLVisualizeBackend; kw...)
        import GLVisualize: visualize
        import Plots.GL
        import UnicodeFun
-        Plots.slice_arg(img::Images.AbstractImage, idx::Int) = img
+        Plots.slice_arg(img::Matrix{C}, idx::Int) where {C<:Colorant} = img
        is_marker_supported(::GLVisualizeBackend, shape::GLVisualize.AllPrimitives) = true
-        is_marker_supported{Img<:Images.AbstractImage}(::GLVisualizeBackend, shape::Union{Vector{Img}, Img}) = true
-        is_marker_supported{C<:Colorant}(::GLVisualizeBackend, shape::Union{Vector{Matrix{C}}, Matrix{C}}) = true
+        is_marker_supported(::GLVisualizeBackend, shape::Union{Vector{Matrix{C}}, Matrix{C}}) where {C<:Colorant} = true
        is_marker_supported(::GLVisualizeBackend, shape::Shape) = true
        const GL = Plots
    end
@@ -78,14 +86,9 @@ end

 function add_backend_string(b::GLVisualizeBackend)
    """
-    For those incredibly brave souls who assume full responsibility for what happens next...
-    There's an easy way to get what you need for the GLVisualize backend to work (until Pkg3 is usable):
-
-    Pkg.clone("https://github.com/tbreloff/MetaPkg.jl")
-    using MetaPkg
-    meta_checkout("MetaGL")
-
-    See the MetaPkg readme for details...
+    if !Plots.is_installed("GLVisualize")
+        Pkg.add("GLVisualize")
+    end
    """
 end

@@ -99,46 +102,6 @@ end
 # end
 const _glplot_deletes = []

-function close_child_signals!(screen)
-    for child in screen.children
-        for (k, s) in child.inputs
-            empty!(s.actions)
-        end
-        for (k, cam) in child.cameras
-            for f in fieldnames(cam)
-                s = getfield(cam, f)
-                if isa(s, Signal)
-                    close(s, false)
-                end
-            end
-        end
-        empty!(child.cameras)
-        close_child_signals!(child)
-    end
-    return
-end
-function empty_screen!(screen)
-    if isempty(_glplot_deletes)
-        close_child_signals!(screen)
-        empty!(screen)
-        empty!(screen.cameras)
-        for (k, s) in screen.inputs
-            empty!(s.actions)
-        end
-        empty!(screen)
-    else
-        for del_signal in _glplot_deletes
-            push!(del_signal, true) # trigger delete
-        end
-        empty!(_glplot_deletes)
-    end
-    nothing
-end
-function poll_reactive()
-    # run_till_now blocks when message queue is empty!
-    Base.n_avail(Reactive._messages) > 0 && Reactive.run_till_now()
-end
-

 function get_plot_screen(list::Vector, name, result = [])
    for elem in list
@@ -155,38 +118,36 @@ function get_plot_screen(screen, name, result = [])
 end

 function create_window(plt::Plot{GLVisualizeBackend}, visible)
-    name = Symbol("Plots.jl")
+    name = Symbol("__Plots.jl")
    # make sure we have any screen open
    if isempty(GLVisualize.get_screens())
        # create a fresh, new screen
        parent_screen = GLVisualize.glscreen(
-            "Plot",
+            "Plots",
            resolution = plt[:size],
            visible = visible
        )
-        @async GLWindow.waiting_renderloop(parent_screen)
+        @async GLWindow.renderloop(parent_screen)
+        GLVisualize.add_screen(parent_screen)
    end
    # now lets get ourselves a permanent Plotting screen
-    plot_screens = get_plot_screen(GLVisualize.get_screens(), name)
+    plot_screens = get_plot_screen(GLVisualize.current_screen(), name)
    screen = if isempty(plot_screens) # no screen with `name`
        parent = GLVisualize.current_screen()
        screen = GLWindow.Screen(
            parent, area = map(GLWindow.zeroposition, parent.area),
            name = name
        )
-        for (k, s) in screen.inputs # copy signals, so we can clean them up better
-            screen.inputs[k] = map(identity, s)
-        end
        screen
    elseif length(plot_screens) == 1
        plot_screens[1]
    else
        # okay this is silly! Lets see if we can. There is an ID we could use
        # will not be fine for more than 255 screens though -.-.
-        error("multiple Plot screens. Please don't use any screen with the name Plots.jl")
+        error("multiple Plot screens. Please don't use any screen with the name $name")
    end
    # Since we own this window, we can do deep cleansing
-    empty_screen!(screen)
+    empty!(screen)
    plt.o = screen
    GLWindow.set_visibility!(screen, visible)
    resize!(screen, plt[:size]...)
@@ -221,12 +182,12 @@ function gl_marker(shape)
    shape
 end
 function gl_marker(shape::Shape)
-    points = Point2f0[Vec{2,Float32}(p) for p in zip(shape.x, shape.y)]
+    points = Point2f0[GeometryTypes.Vec{2, Float32}(p) for p in zip(shape.x, shape.y)]
    bb = GeometryTypes.AABB(points)
    mini, maxi = minimum(bb), maximum(bb)
    w3 = maxi-mini
    origin, width = Point2f0(mini[1], mini[2]), Point2f0(w3[1], w3[2])
-    map!(p -> ((p - origin) ./ width) - 0.5f0, points) # normalize and center
+    map!(p -> ((p - origin) ./ width) - 0.5f0, points, points) # normalize and center
    GeometryTypes.GLNormalMesh(points)
 end
 # create a marker/shape type
@@ -260,13 +221,13 @@ function extract_limits(sp, d, kw_args)
    nothing
 end

-to_vec{T <: FixedVector}(::Type{T}, vec::T) = vec
-to_vec{T <: FixedVector}(::Type{T}, s::Number) = T(s)
+to_vec(::Type{T}, vec::T) where {T <: StaticArrays.StaticVector} = vec
+to_vec(::Type{T}, s::Number) where {T <: StaticArrays.StaticVector} = T(s)

-to_vec{T <: FixedVector{2}}(::Type{T}, vec::FixedVector{3}) = T(vec[1], vec[2])
-to_vec{T <: FixedVector{3}}(::Type{T}, vec::FixedVector{2}) = T(vec[1], vec[2], 0)
+to_vec(::Type{T}, vec::StaticArrays.StaticVector{3}) where {T <: StaticArrays.StaticVector{2}} = T(vec[1], vec[2])
+to_vec(::Type{T}, vec::StaticArrays.StaticVector{2}) where {T <: StaticArrays.StaticVector{3}} = T(vec[1], vec[2], 0)

-to_vec{T <: FixedVector}(::Type{T}, vecs::AbstractVector) = map(x-> to_vec(T, x), vecs)
+to_vec(::Type{T}, vecs::AbstractVector) where {T <: StaticArrays.StaticVector} = map(x-> to_vec(T, x), vecs)

 function extract_marker(d, kw_args)
    dim = Plots.is3d(d) ? 3 : 2
@@ -321,15 +282,21 @@ end
 function extract_surface(d)
    map(_extract_surface, (d[:x], d[:y], d[:z]))
 end
-function topoints{P}(::Type{P}, array)
-    P[x for x in zip(array...)]
+function topoints(::Type{P}, array) where P
+    [P(x) for x in zip(array...)]
 end
 function extract_points(d)
    dim = is3d(d) ? 3 : 2
-    array = (d[:x], d[:y], d[:z])[1:dim]
+    array = if d[:seriestype] == :straightline
+        straightline_data(d)
+    elseif d[:seriestype] == :shape
+        shape_data(d)
+    else
+        (d[:x], d[:y], d[:z])[1:dim]
+    end
    topoints(Point{dim, Float32}, array)
 end
-function make_gradient{C <: Colorant}(grad::Vector{C})
+function make_gradient(grad::Vector{C}) where C <: Colorant
    grad
 end
 function make_gradient(grad::ColorGradient)
@@ -352,7 +319,7 @@ function extract_any_color(d, kw_args)
                    kw_args[:color_norm] = Vec2f0(clims)
                end
            elseif clims == :auto
-                kw_args[:color_norm] = Vec2f0(extrema(d[:y]))
+                kw_args[:color_norm] = Vec2f0(ignorenan_extrema(d[:y]))
            end
        end
    else
@@ -363,7 +330,7 @@ function extract_any_color(d, kw_args)
                kw_args[:color_norm] = Vec2f0(clims)
            end
        elseif clims == :auto
-            kw_args[:color_norm] = Vec2f0(extrema(d[:y]))
+            kw_args[:color_norm] = Vec2f0(ignorenan_extrema(d[:y]))
        else
            error("Unsupported limits: $clims")
        end
@@ -375,7 +342,7 @@ end
 function extract_stroke(d, kw_args)
    extract_c(d, kw_args, :line)
    if haskey(d, :linewidth)
-        kw_args[:thickness] = d[:linewidth] * 3
+        kw_args[:thickness] = Float32(d[:linewidth] * 3)
    end
 end

@@ -384,7 +351,7 @@ function extract_color(d, sym)
 end

 gl_color(c::PlotUtils.ColorGradient) = c.colors
-gl_color{T<:Colorant}(c::Vector{T}) = c
+gl_color(c::Vector{T}) where {T<:Colorant} = c
 gl_color(c::RGBA{Float32}) = c
 gl_color(c::Colorant) = RGBA{Float32}(c)

@@ -415,14 +382,14 @@ end


 dist(a, b) = abs(a-b)
-mindist(x, a, b) = min(dist(a, x), dist(b, x))
+mindist(x, a, b) = NaNMath.min(dist(a, x), dist(b, x))

 function gappy(x, ps)
    n = length(ps)
    x <= first(ps) && return first(ps) - x
    for j=1:(n-1)
        p0 = ps[j]
-        p1 = ps[min(j+1, n)]
+        p1 = ps[NaNMath.min(j+1, n)]
        if p0 <= x && p1 >= x
            return mindist(x, p0, p1) * (isodd(j) ? 1 : -1)
        end
@@ -443,7 +410,7 @@ function extract_linestyle(d, kw_args)
    haskey(d, :linestyle) || return
    ls = d[:linestyle]
    lw = d[:linewidth]
-    kw_args[:thickness] = lw
+    kw_args[:thickness] = Float32(lw)
    if ls == :dash
        points = [0.0, lw, 2lw, 3lw, 4lw]
        insert_pattern!(points, kw_args)
@@ -530,7 +497,7 @@ function hover(to_hover, to_display, window)
 end

 function extract_extrema(d, kw_args)
-    xmin, xmax = extrema(d[:x]); ymin, ymax = extrema(d[:y])
+    xmin, xmax = ignorenan_extrema(d[:x]); ymin, ymax = ignorenan_extrema(d[:y])
    kw_args[:primitive] = GeometryTypes.SimpleRectangle{Float32}(xmin, ymin, xmax-xmin, ymax-ymin)
    nothing
 end
@@ -557,7 +524,7 @@ function extract_colornorm(d, kw_args)
        else
            d[:y]
        end
-        kw_args[:color_norm] = Vec2f0(extrema(z))
+        kw_args[:color_norm] = Vec2f0(ignorenan_extrema(z))
        kw_args[:intensity] = map(Float32, collect(z))
    end
 end
@@ -615,7 +582,7 @@ function draw_grid_lines(sp, grid_segs, thickness, style, model, color)
    )
    d = Dict(
        :linestyle => style,
-        :linewidth => thickness,
+        :linewidth => Float32(thickness),
        :linecolor => color
    )
    Plots.extract_linestyle(d, kw_args)
@@ -624,8 +591,10 @@ end

 function align_offset(startpos, lastpos, atlas, rscale, font, align)
    xscale, yscale = GLVisualize.glyph_scale!('X', rscale)
-    xmove = (lastpos-startpos)[1]+xscale
-    if align == :top
+    xmove = (lastpos-startpos)[1] + xscale
+    if isa(align, GeometryTypes.Vec)
+        return -Vec2f0(xmove, yscale) .* align
+    elseif align == :top
        return -Vec2f0(xmove/2f0, yscale)
    elseif align == :right
        return -Vec2f0(xmove, yscale/2f0)
@@ -634,11 +603,6 @@ function align_offset(startpos, lastpos, atlas, rscale, font, align)
    end
 end

-function align_offset(startpos, lastpos, atlas, rscale, font, align::Vec)
-    xscale, yscale = GLVisualize.glyph_scale!('X', rscale)
-    xmove = (lastpos-startpos)[1] + xscale
-    return -Vec2f0(xmove, yscale) .* align
-end

 function alignment2num(x::Symbol)
    (x in (:hcenter, :vcenter)) && return 0.5
@@ -654,10 +618,10 @@ end
 pointsize(font) = font.pointsize * 2

 function draw_ticks(
-        axis, ticks, isx, lims, m, text = "",
+        axis, ticks, isx, isorigin, lims, m, text = "",
        positions = Point2f0[], offsets=Vec2f0[]
    )
-    sz = pointsize(axis[:tickfont])
+    sz = pointsize(tickfont(axis))
    atlas = GLVisualize.get_texture_atlas()
    font = GLVisualize.defaultfont()

@@ -672,7 +636,11 @@ function draw_ticks(
    for (cv, dv) in zip(ticks...)

        x, y = cv, lims[1]
-        xy = isx ? (x, y) : (y, x)
+        xy = if isorigin
+            isx ? (x, 0) : (0, x)
+        else
+            isx ? (x, y) : (y, x)
+        end
        _pos = m * GeometryTypes.Vec4f0(xy[1], xy[2], 0, 1)
        startpos = Point2f0(_pos[1], _pos[2]) - axis_gap
        str = string(dv)
@@ -686,7 +654,7 @@ function draw_ticks(
        position = GLVisualize.calc_position(str, startpos, sz, font, atlas)
        offset = GLVisualize.calc_offset(str, sz, font, atlas)
        alignoff = align_offset(startpos, last(position), atlas, sz, font, align)
-        map!(position) do pos
+        map!(position, position) do pos
            pos .+ alignoff
        end
        append!(positions, position)
@@ -697,7 +665,7 @@ function draw_ticks(
    text, positions, offsets
 end

-function text(position, text, kw_args)
+function glvisualize_text(position, text, kw_args)
    text_align = alignment2num(text.font)
    startpos = Vec2f0(position)
    atlas = GLVisualize.get_texture_atlas()
@@ -708,7 +676,7 @@ function text(position, text, kw_args)
    offset = GLVisualize.calc_offset(text.str, rscale, font, atlas)
    alignoff = align_offset(startpos, last(position), atlas, rscale, font, text_align)

-    map!(position) do pos
+    map!(position, position) do pos
        pos .+ alignoff
    end
    kw_args[:position] = position
@@ -728,72 +696,122 @@ function text_model(font, pivot)
    end
 end
 function gl_draw_axes_2d(sp::Plots.Subplot{Plots.GLVisualizeBackend}, model, area)
-    xticks, yticks, spine_segs, grid_segs = Plots.axis_drawing_info(sp)
+    xticks, yticks, xspine_segs, yspine_segs, xtick_segs, ytick_segs, xgrid_segs, ygrid_segs, xborder_segs, yborder_segs = Plots.axis_drawing_info(sp)
    xaxis = sp[:xaxis]; yaxis = sp[:yaxis]

-    c = Colors.color(Plots.gl_color(sp[:foreground_color_grid]))
+    xgc = Colors.color(Plots.gl_color(xaxis[:foreground_color_grid]))
+    ygc = Colors.color(Plots.gl_color(yaxis[:foreground_color_grid]))
    axis_vis = []
-    if sp[:grid]
-        grid = draw_grid_lines(sp, grid_segs, 1f0, :dot, model, RGBA(c, 0.3f0))
+    if xaxis[:grid]
+        grid = draw_grid_lines(sp, xgrid_segs, xaxis[:gridlinewidth], xaxis[:gridstyle], model, RGBA(xgc, xaxis[:gridalpha]))
        push!(axis_vis, grid)
    end
-    if alpha(xaxis[:foreground_color_border]) > 0
-        spine = draw_grid_lines(sp, spine_segs, 1f0, :solid, model, RGBA(c, 1.0f0))
+    if yaxis[:grid]
+        grid = draw_grid_lines(sp, ygrid_segs, yaxis[:gridlinewidth], yaxis[:gridstyle], model, RGBA(ygc, yaxis[:gridalpha]))
+        push!(axis_vis, grid)
+    end
+
+    xac = Colors.color(Plots.gl_color(xaxis[:foreground_color_axis]))
+    yac = Colors.color(Plots.gl_color(yaxis[:foreground_color_axis]))
+    if alpha(xaxis[:foreground_color_axis]) > 0
+        spine = draw_grid_lines(sp, xspine_segs, 1f0, :solid, model, RGBA(xac, 1.0f0))
        push!(axis_vis, spine)
    end
+    if alpha(yaxis[:foreground_color_axis]) > 0
+        spine = draw_grid_lines(sp, yspine_segs, 1f0, :solid, model, RGBA(yac, 1.0f0))
+        push!(axis_vis, spine)
+    end
+    if sp[:framestyle] in (:zerolines, :grid)
+        if alpha(xaxis[:foreground_color_grid]) > 0
+            spine = draw_grid_lines(sp, xtick_segs, 1f0, :solid, model, RGBA(xgc, xaxis[:gridalpha]))
+            push!(axis_vis, spine)
+        end
+        if alpha(yaxis[:foreground_color_grid]) > 0
+            spine = draw_grid_lines(sp, ytick_segs, 1f0, :solid, model, RGBA(ygc, yaxis[:gridalpha]))
+            push!(axis_vis, spine)
+        end
+    else
+        if alpha(xaxis[:foreground_color_axis]) > 0
+            spine = draw_grid_lines(sp, xtick_segs, 1f0, :solid, model, RGBA(xac, 1.0f0))
+            push!(axis_vis, spine)
+        end
+        if alpha(yaxis[:foreground_color_axis]) > 0
+            spine = draw_grid_lines(sp, ytick_segs, 1f0, :solid, model, RGBA(yac, 1.0f0))
+            push!(axis_vis, spine)
+        end
+    end
    fcolor = Plots.gl_color(xaxis[:foreground_color_axis])

    xlim = Plots.axis_limits(xaxis)
    ylim = Plots.axis_limits(yaxis)

-    if !(xaxis[:ticks] in (nothing, false, :none))
+    if !(xaxis[:ticks] in (nothing, false, :none)) && !(sp[:framestyle] == :none) && xaxis[:showaxis]
        ticklabels = map(model) do m
            mirror = xaxis[:mirror]
-            t, positions, offsets = draw_ticks(xaxis, xticks, true, ylim, m)
-            mirror = xaxis[:mirror]
-            t, positions, offsets = draw_ticks(
-                yaxis, yticks, false, xlim, m,
-                t, positions, offsets
-            )
+            t, positions, offsets = draw_ticks(xaxis, xticks, true, sp[:framestyle] == :origin, ylim, m)
        end
        kw_args = Dict{Symbol, Any}(
            :position => map(x-> x[2], ticklabels),
            :offset => map(last, ticklabels),
            :color => fcolor,
-            :relative_scale => pointsize(xaxis[:tickfont]),
+            :relative_scale => pointsize(tickfont(xaxis)),
            :scale_primitive => false
        )
        push!(axis_vis, visualize(map(first, ticklabels), Style(:default), kw_args))
    end

+    if !(yaxis[:ticks] in (nothing, false, :none)) && !(sp[:framestyle] == :none) && yaxis[:showaxis]
+        ticklabels = map(model) do m
+            mirror = yaxis[:mirror]
+            t, positions, offsets = draw_ticks(yaxis, yticks, false, sp[:framestyle] == :origin, xlim, m)
+        end
+        kw_args = Dict{Symbol, Any}(
+            :position => map(x-> x[2], ticklabels),
+            :offset => map(last, ticklabels),
+            :color => fcolor,
+            :relative_scale => pointsize(tickfont(xaxis)),
+            :scale_primitive => false
+        )
+        push!(axis_vis, visualize(map(first, ticklabels), Style(:default), kw_args))
+    end
+
+    xbc = Colors.color(Plots.gl_color(xaxis[:foreground_color_border]))
+    ybc = Colors.color(Plots.gl_color(yaxis[:foreground_color_border]))
+    intensity = sp[:framestyle] == :semi ? 0.5f0 : 1.0f0
+    if sp[:framestyle] in (:box, :semi)
+        xborder = draw_grid_lines(sp, xborder_segs, intensity, :solid, model, RGBA(xbc, intensity))
+        yborder = draw_grid_lines(sp, yborder_segs, intensity, :solid, model, RGBA(ybc, intensity))
+        push!(axis_vis, xborder, yborder)
+    end
+
    area_w = GeometryTypes.widths(area)
    if sp[:title] != ""
-        tf = sp[:titlefont]; color = gl_color(sp[:foreground_color_title])
-        font = Plots.Font(tf.family, tf.pointsize, :hcenter, :top, tf.rotation, color)
+        tf = titlefont(sp)
+        font = Plots.Font(tf.family, tf.pointsize, :hcenter, :top, tf.rotation, tf.color)
        xy = Point2f0(area.w/2, area_w[2] + pointsize(tf)/2)
        kw = Dict(:model => text_model(font, xy), :scale_primitive => true)
        extract_font(font, kw)
        t = PlotText(sp[:title], font)
-        push!(axis_vis, text(xy, t, kw))
+        push!(axis_vis, glvisualize_text(xy, t, kw))
    end
    if xaxis[:guide] != ""
-        tf = xaxis[:guidefont]; color = gl_color(xaxis[:foreground_color_guide])
+        tf = guidefont(xaxis)
        xy = Point2f0(area.w/2, - pointsize(tf)/2)
-        font = Plots.Font(tf.family, tf.pointsize, :hcenter, :bottom, tf.rotation, color)
+        font = Plots.Font(tf.family, tf.pointsize, :hcenter, :bottom, tf.rotation, tf.color)
        kw = Dict(:model => text_model(font, xy), :scale_primitive => true)
        t = PlotText(xaxis[:guide], font)
        extract_font(font, kw)
-        push!(axis_vis, text(xy, t, kw))
+        push!(axis_vis, glvisualize_text(xy, t, kw))
    end

    if yaxis[:guide] != ""
-        tf = yaxis[:guidefont]; color = gl_color(yaxis[:foreground_color_guide])
-        font = Plots.Font(tf.family, tf.pointsize, :hcenter, :top, 90f0, color)
+        tf = guidefont(yaxis)
+        font = Plots.Font(tf.family, tf.pointsize, :hcenter, :top, 90f0, tf.color)
        xy = Point2f0(-pointsize(tf)/2, area.h/2)
        kw = Dict(:model => text_model(font, xy), :scale_primitive=>true)
        t = PlotText(yaxis[:guide], font)
        extract_font(font, kw)
-        push!(axis_vis, text(xy, t, kw))
+        push!(axis_vis, glvisualize_text(xy, t, kw))
    end

    axis_vis
@@ -829,9 +847,9 @@ function gl_bar(d, kw_args)
    # compute half-width of bars
    bw = nothing
    hw = if bw == nothing
-        mean(diff(x))
+        ignorenan_mean(diff(x))
    else
-        Float64[cycle(bw,i)*0.5 for i=1:length(x)]
+        Float64[_cycle(bw,i)*0.5 for i=1:length(x)]
    end

    # make fillto a vector... default fills to 0
@@ -840,12 +858,12 @@ function gl_bar(d, kw_args)
        fillto = 0
    end
    # create the bar shapes by adding x/y segments
-    positions, scales = Array(Point2f0, ny), Array(Vec2f0, ny)
+    positions, scales = Array{Point2f0}(ny), Array{Vec2f0}(ny)
    m = Reactive.value(kw_args[:model])
    sx, sy = m[1,1], m[2,2]
    for i=1:ny
        center = x[i]
-        hwi = abs(cycle(hw,i)); yi = y[i]; fi = cycle(fillto,i)
+        hwi = abs(_cycle(hw,i)); yi = y[i]; fi = _cycle(fillto,i)
        if Plots.isvertical(d)
            sz = (hwi*sx, yi*sy)
        else
@@ -881,7 +899,7 @@ function gl_boxplot(d, kw_args)
    sx, sy = m[1,1], m[2,2]
    for (i,glabel) in enumerate(glabels)
        # filter y
-        values = y[filter(i -> cycle(x,i) == glabel, 1:length(y))]
+        values = y[filter(i -> _cycle(x,i) == glabel, 1:length(y))]
        # compute quantiles
        q1,q2,q3,q4,q5 = quantile(values, linspace(0,1,5))
        # notch
@@ -894,7 +912,7 @@ function gl_boxplot(d, kw_args)

        # make the shape
        center = Plots.discrete_value!(d[:subplot][:xaxis], glabel)[1]
-        hw = d[:bar_width] == nothing ? Plots._box_halfwidth*2 : cycle(d[:bar_width], i)
+        hw = d[:bar_width] == nothing ? Plots._box_halfwidth*2 : _cycle(d[:bar_width], i)
        l, m, r = center - hw/2, center, center + hw/2

        # internal nodes for notches
@@ -912,7 +930,7 @@ function gl_boxplot(d, kw_args)
            end
            # change q1 and q5 to show outliers
            # using maximum and minimum values inside the limits
-            q1, q5 = extrema(inside)
+            q1, q5 = ignorenan_extrema(inside)
        end
        # Box
        if notch
@@ -991,9 +1009,9 @@ function scale_for_annotations!(series::Series, scaletype::Symbol = :pixels)
        # we use baseshape to overwrite the markershape attribute
        # with a list of custom shapes for each
        msw, msh = anns.scalefactor
-        offsets = Array(Vec2f0, length(anns.strs))
+        offsets = Array{Vec2f0}(length(anns.strs))
        series[:markersize] = map(1:length(anns.strs)) do i
-            str = cycle(anns.strs, i)
+            str = _cycle(anns.strs, i)
            # get the width and height of the string (in mm)
            sw, sh = text_size(str, anns.font.pointsize)

@@ -1090,7 +1108,7 @@ function _display(plt::Plot{GLVisualizeBackend}, visible = true)
                    kw_args[:stroke_width] = Float32(d[:linewidth]/100f0)
                end
                vis = GL.gl_surface(x, y, z, kw_args)
-            elseif (st in (:path, :path3d)) && d[:linewidth] > 0
+            elseif (st in (:path, :path3d, :straightline)) && d[:linewidth] > 0
                kw = copy(kw_args)
                points = Plots.extract_points(d)
                extract_linestyle(d, kw)
@@ -1106,7 +1124,7 @@ function _display(plt::Plot{GLVisualizeBackend}, visible = true)
                    kw = copy(kw_args)
                    fr = d[:fillrange]
                    ps = if all(x-> x >= 0, diff(d[:x])) # if is monotonic
-                        vcat(points, Point2f0[(points[i][1], cycle(fr, i)) for i=length(points):-1:1])
+                        vcat(points, Point2f0[(points[i][1], _cycle(fr, i)) for i=length(points):-1:1])
                    else
                        points
                    end
@@ -1141,8 +1159,7 @@ function _display(plt::Plot{GLVisualizeBackend}, visible = true)
                vis = gl_bar(d, kw_args)
            elseif st == :image
                extract_extrema(d, kw_args)
-                z = transpose_z(series, d[:z].surf, false)
-                vis = GL.gl_image(z, kw_args)
+                vis = GL.gl_image(d[:z].surf, kw_args)
            elseif st == :boxplot
                 extract_c(d, kw_args, :fill)
                 vis = gl_boxplot(d, kw_args)
@@ -1171,9 +1188,9 @@ function _display(plt::Plot{GLVisualizeBackend}, visible = true)
            anns = series[:series_annotations]
            for (x, y, str, font) in EachAnn(anns, d[:x], d[:y])
                txt_args = Dict{Symbol, Any}(:model => eye(GLAbstraction.Mat4f0))
-                x, y = Reactive.value(model_m) * Vec{4, Float32}(x, y, 0, 1)
+                x, y = Reactive.value(model_m) * GeometryTypes.Vec{4, Float32}(x, y, 0, 1)
                extract_font(font, txt_args)
-                t = text(Point2f0(x, y), PlotText(str, font), txt_args)
+                t = glvisualize_text(Point2f0(x, y), PlotText(str, font), txt_args)
                GLVisualize._view(t, sp_screen, camera = :perspective)
            end

@@ -1182,7 +1199,7 @@ function _display(plt::Plot{GLVisualizeBackend}, visible = true)
        if _3d
            GLAbstraction.center!(sp_screen)
        end
-        Reactive.post_empty()
+        GLAbstraction.post_empty()
        yield()
    end
 end
@@ -1197,21 +1214,18 @@ function _show(io::IO, ::MIME"image/png", plt::Plot{GLVisualizeBackend})
    GLWindow.render_frame(GLWindow.rootscreen(plt.o))
    GLWindow.swapbuffers(plt.o)
    buff = GLWindow.screenbuffer(plt.o)
-    png = Images.Image(map(RGB{U8}, buff),
-        colorspace = "sRGB",
-        spatialorder = ["y", "x"]
-    )
+    png = map(RGB{U8}, buff)
    FileIO.save(FileIO.Stream(FileIO.DataFormat{:PNG}, io), png)
 end


 function gl_image(img, kw_args)
    rect = kw_args[:primitive]
-    kw_args[:primitive] = GeometryTypes.SimpleRectangle{Float32}(rect.x, rect.y, rect.h, rect.w) # seems to be flipped
+    kw_args[:primitive] = GeometryTypes.SimpleRectangle{Float32}(rect.x, rect.y, rect.w, rect.h)
    visualize(img, Style(:default), kw_args)
 end

-function handle_segment{P}(lines, line_segments, points::Vector{P}, segment)
+function handle_segment(lines, line_segments, points::Vector{P}, segment) where P
    (isempty(segment) || length(segment) < 2) && return
    if length(segment) == 2
         append!(line_segments, view(points, segment))
@@ -1280,7 +1294,7 @@ function gl_scatter(points, kw_args)
    if haskey(kw_args, :stroke_width)
        s = Reactive.value(kw_args[:scale])
        sw = kw_args[:stroke_width]
-        if sw*5 > cycle(Reactive.value(s), 1)[1] # restrict marker stroke to 1/10th of scale (and handle arrays of scales)
+        if sw*5 > _cycle(Reactive.value(s), 1)[1] # restrict marker stroke to 1/10th of scale (and handle arrays of scales)
            kw_args[:stroke_width] = s[1] / 5f0
        end
    end
@@ -1342,7 +1356,7 @@ function gl_surface(x,y,z, kw_args)
            end
            color = get(kw_args, :stroke_color, RGBA{Float32}(0,0,0,1))
            kw_args[:color] = color
-            kw_args[:thickness] = get(kw_args, :stroke_width, 1f0)
+            kw_args[:thickness] = Float32(get(kw_args, :stroke_width, 1f0))
            kw_args[:indices] = faces
            delete!(kw_args, :stroke_color)
            delete!(kw_args, :stroke_width)
@@ -1358,8 +1372,8 @@ function gl_contour(x, y, z, kw_args)
    if kw_args[:fillrange] != nothing

        delete!(kw_args, :intensity)
-        I = GLVisualize.Intensity{1, Float32}
-        main = I[z[j,i] for i=1:size(z, 2), j=1:size(z, 1)]
+        I = GLVisualize.Intensity{Float32}
+        main = [I(z[j,i]) for i=1:size(z, 2), j=1:size(z, 1)]
        return visualize(main, Style(:default), kw_args)

    else
@@ -1367,7 +1381,7 @@ function gl_contour(x, y, z, kw_args)
        T = eltype(z)
        levels = Contour.contours(map(T, x), map(T, y), z, h)
        result = Point2f0[]
-        zmin, zmax = get(kw_args, :limits, Vec2f0(extrema(z)))
+        zmin, zmax = get(kw_args, :limits, Vec2f0(ignorenan_extrema(z)))
        cmap = get(kw_args, :color_map, get(kw_args, :color, RGBA{Float32}(0,0,0,1)))
        colors = RGBA{Float32}[]
        for c in levels.contours
@@ -1388,10 +1402,10 @@ end


 function gl_heatmap(x,y,z, kw_args)
-    get!(kw_args, :color_norm, Vec2f0(extrema(z)))
+    get!(kw_args, :color_norm, Vec2f0(ignorenan_extrema(z)))
    get!(kw_args, :color_map, Plots.make_gradient(cgrad()))
    delete!(kw_args, :intensity)
-    I = GLVisualize.Intensity{1, Float32}
+    I = GLVisualize.Intensity{Float32}
    heatmap = I[z[j,i] for i=1:size(z, 2), j=1:size(z, 1)]
    tex = GLAbstraction.Texture(heatmap, minfilter=:nearest)
    kw_args[:stroke_width] = 0f0
@@ -1422,6 +1436,8 @@ function label_scatter(d, w, ho)
        color = get(kw, :color, nothing)
        kw[:color] = isa(color, Array) ? first(color) : color
    end
+    strcolor = get(kw, :stroke_color, RGBA{Float32}(0,0,0,0))
+    kw[:stroke_color] = isa(strcolor, Array) ? first(strcolor) : strcolor
    p = get(kw, :primitive, GeometryTypes.Circle)
    if isa(p, GLNormalMesh)
        bb = GeometryTypes.AABB{Float32}(GeometryTypes.vertices(p))
@@ -1436,6 +1452,9 @@ function label_scatter(d, w, ho)
        kw[:scale] = Vec3f0(w/2)
        delete!(kw, :offset)
    end
+    if isa(p, Array)
+        kw[:primitive] = GeometryTypes.Circle
+    end
    GL.gl_scatter(Point2f0[(w/2, ho)], kw)
 end

@@ -1447,7 +1466,7 @@ function make_label(sp, series, i)
    d = series.d
    st = d[:seriestype]
    kw_args = KW()
-    if (st in (:path, :path3d)) && d[:linewidth] > 0
+    if (st in (:path, :path3d, :straightline)) && d[:linewidth] > 0
        points = Point2f0[(0, ho), (w, ho)]
        kw = KW()
        extract_linestyle(d, kw)
@@ -1473,14 +1492,13 @@ function make_label(sp, series, i)
    else
        series[:label]
    end
-    color = sp[:foreground_color_legend]
-    ft = sp[:legendfont]
-    font = Plots.Font(ft.family, ft.pointsize, :left, :bottom, 0.0, color)
+    ft = legendfont(sp)
+    font = Plots.Font(ft.family, ft.pointsize, :left, :bottom, 0.0, ft.color)
    xy = Point2f0(w+gap, 0.0)
    kw = Dict(:model => text_model(font, xy), :scale_primitive=>false)
    extract_font(font, kw)
    t = PlotText(labeltext, font)
-    push!(result, text(xy, t, kw))
+    push!(result, glvisualize_text(xy, t, kw))
    GLAbstraction.Context(result...), i
 end

@@ -0,0 +1,669 @@
+#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
+
+# ----------------------------------------------------------------
+
+_show(io::IO, mime::MIME"text/plain", plt::Plot{HDF5Backend}) = nothing #Don't show
+
+# ----------------------------------------------------------------
+
+# 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
@@ -13,12 +13,17 @@ 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_grid,
+    :foreground_color_legend, :foreground_color_title,
    :foreground_color_axis, :foreground_color_border, :foreground_color_guide, :foreground_color_text,
    :label,
    :linecolor, :linestyle, :linewidth, :linealpha,
@@ -27,10 +32,13 @@ const _inspectdr_attr = merge_with_base_supported([
    :markerstrokestyle, #Causes warning not to have it... what is this?
    :fillcolor, :fillalpha, #:fillrange,
 #    :bins, :bar_width, :bar_edges, :bar_position,
-    :title, :title_location, :titlefont,
+    :title, :title_location,
    :window_title,
    :guide, :lims, :scale, #:ticks, :flip, :rotation,
-    :tickfont, :guidefont, :legendfont,
+    :titlefontfamily, :titlefontsize, :titlefontcolor,
+    :legendfontfamily, :legendfontsize, :legendfontcolor,
+    :tickfontfamily, :tickfontsize, :tickfontcolor,
+    :guidefontfamily, :guidefontsize, :guidefontcolor,
    :grid, :legend, #:colorbar,
 #    :marker_z,
 #    :line_z,
@@ -49,7 +57,7 @@ const _inspectdr_attr = merge_with_base_supported([
  ])
 const _inspectdr_style = [:auto, :solid, :dash, :dot, :dashdot]
 const _inspectdr_seriestype = [
-        :path, :scatter, :shape #, :steppre, :steppost
+        :path, :scatter, :shape, :straightline, #, :steppre, :steppost
    ]
 #see: _allMarkers, _shape_keys
 const _inspectdr_marker = Symbol[
@@ -130,7 +138,7 @@ end

 function _inspectdr_getscale(s::Symbol, yaxis::Bool)
 #TODO: Support :asinh, :sqrt
-    kwargs = yaxis? (:tgtmajor=>8, :tgtminor=>2): () #More grid lines on y-axis
+    kwargs = yaxis ? (:tgtmajor=>8, :tgtminor=>2) : () #More grid lines on y-axis
    if :log2 == s
        return InspectDR.AxisScale(:log2; kwargs...)
    elseif :log10 == s
@@ -162,7 +170,7 @@ function _initialize_backend(::InspectDRBackend; kw...)
            2*InspectDR.GLYPH_SQUARE.x, InspectDR.GLYPH_SQUARE.y
        )

-        type InspecDRPlotRef
+        mutable struct InspecDRPlotRef
            mplot::Union{Void, InspectDR.Multiplot}
            gui::Union{Void, InspectDR.GtkPlot}
        end
@@ -171,7 +179,7 @@ function _initialize_backend(::InspectDRBackend; kw...)
        _inspectdr_getmplot(r::InspecDRPlotRef) = r.mplot

        _inspectdr_getgui(::Any) = nothing
-        _inspectdr_getgui(gplot::InspectDR.GtkPlot) = (gplot.destroyed? nothing: gplot)
+        _inspectdr_getgui(gplot::InspectDR.GtkPlot) = (gplot.destroyed ? nothing : gplot)
        _inspectdr_getgui(r::InspecDRPlotRef) = _inspectdr_getgui(r.gui)
    end
 end
@@ -213,14 +221,10 @@ 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.markers = [] #Clear old markers
-    plot.atext = [] #Clear old annotation
-    plot.apline = [] #Clear old poly lines
-
+    plot.userannot = [] #Clear old markers/text annotation/polyline "annotation"
    return plot
 end

@@ -238,13 +242,17 @@ function _series_added(plt::Plot{InspectDRBackend}, series::Series)
    #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 = _vectorize(series[:x]); y = _vectorize(series[:y])
+    _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)
+        x = r.*cos.(Θ); y = r.*sin.(Θ)
    end

    # doesn't handle mismatched x/y - wrap data (pyplot behaviour):
@@ -264,28 +272,29 @@ For st in :shape:
 =#

    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))
+                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
                )
-                push!(plot.apline, apline)
+                InspectDR.add(plot, apline)
            end
        end

-        i = (nmax >= 2? div(nmax, 2): nmax) #Must pick one set of colors for legend
+        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))
+            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
@@ -295,11 +304,11 @@ For st in :shape:
                color = linecolor, fillcolor = fillcolor
            )
        end
-   elseif st in (:path, :scatter) #, :steppre, :steppost)
+   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])
+        _style = (0==linewidth ? :none : series[:linestyle])
        wfrm = InspectDR.add(plot, x, y, id=series[:label])
        wfrm.line = InspectDR.line(
            style = _style,
@@ -338,22 +347,25 @@ end
 # ---------------------------------------------------------------------------

 function _inspectdr_setupsubplot(sp::Subplot{InspectDRBackend})
-    const gridon = InspectDR.GridRect(vmajor=true, hmajor=true)
-    const gridoff = InspectDR.GridRect()
    const plot = sp.o
    const strip = plot.strips[1] #Only 1 strip supported with Plots.jl

-	#No independent control of grid???
-	strip.grid = sp[:grid]? gridon: gridoff
-
    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 = max(abs(ymin), abs(ymax))
+            rmax = NaNMath.max(abs(ymin), abs(ymax))
            xmin, xmax = -rmax, rmax
            ymin, ymax = -rmax, rmax
        end
@@ -366,30 +378,29 @@ function _inspectdr_setupsubplot(sp::Subplot{InspectDRBackend})
        a.xlabel = xaxis[:guide]; a.ylabels = [yaxis[:guide]]

    l = plot.layout
-        l.frame.fillcolor = _inspectdr_mapcolor(sp[:background_color_subplot])
-        l.framedata.fillcolor = _inspectdr_mapcolor(sp[:background_color_inside])
-        l.framedata.line.color = _inspectdr_mapcolor(xaxis[:foreground_color_axis])
-        l.fnttitle = InspectDR.Font(sp[:titlefont].family,
-            _inspectdr_mapptsize(sp[:titlefont].pointsize),
-            color = _inspectdr_mapcolor(sp[:foreground_color_title])
+        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.fntaxlabel = InspectDR.Font(xaxis[:guidefont].family,
-            _inspectdr_mapptsize(xaxis[:guidefont].pointsize),
-            color = _inspectdr_mapcolor(xaxis[:foreground_color_guide])
+        l[:font_axislabel] = InspectDR.Font(xaxis[:guidefontfamily],
+            _inspectdr_mapptsize(xaxis[:guidefontsize]),
+            color = _inspectdr_mapcolor(xaxis[:guidefontcolor])
        )
-        l.fntticklabel = InspectDR.Font(xaxis[:tickfont].family,
-            _inspectdr_mapptsize(xaxis[:tickfont].pointsize),
-            color = _inspectdr_mapcolor(xaxis[:foreground_color_text])
+        l[:font_ticklabel] = InspectDR.Font(xaxis[:tickfontfamily],
+            _inspectdr_mapptsize(xaxis[:tickfontsize]),
+            color = _inspectdr_mapcolor(xaxis[:tickfontcolor])
        )
-    leg = l.legend
-        leg.enabled = (sp[:legend] != :none)
-        #leg.width = 150 #TODO: compute???
-        leg.font = InspectDR.Font(sp[:legendfont].family,
-            _inspectdr_mapptsize(sp[:legendfont].pointsize),
-            color = _inspectdr_mapcolor(sp[:foreground_color_legend])
+        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])
        )
-        leg.frame.fillcolor = _inspectdr_mapcolor(sp[:background_color_legend])
+        l[:frame_legend].fillcolor = _inspectdr_mapcolor(sp[:background_color_legend])
 end

 # called just before updating layout bounding boxes... in case you need to prep
@@ -403,7 +414,7 @@ function _before_layout_calcs(plt::Plot{InspectDRBackend})
        #Don't use window_title... probably not what you want.
        #mplot.title = plt[:window_title]
    end
-    mplot.frame.fillcolor = _inspectdr_mapcolor(plt[:background_color_outside])
+    mplot.layout[:frame].fillcolor = _inspectdr_mapcolor(plt[:background_color_outside])

    resize!(mplot.subplots, length(plt.subplots))
    nsubplots = length(plt.subplots)
@@ -415,8 +426,6 @@ function _before_layout_calcs(plt::Plot{InspectDRBackend})
        plot = sp.o
        _initialize_subplot(plt, sp)
        _inspectdr_setupsubplot(sp)
-        graphbb = _inspectdr_to_pixels(plotarea(sp))
-        plot.plotbb = InspectDR.plotbounds(plot.layout, graphbb)

        # add the annotations
        for ann in sp[:annotations]
@@ -427,15 +436,15 @@ function _before_layout_calcs(plt::Plot{InspectDRBackend})
    #Do not yet support absolute plot positionning.
    #Just try to make things look more-or less ok:
    if nsubplots <= 1
-        mplot.ncolumns = 1
+        mplot.layout[:ncolumns] = 1
    elseif nsubplots <= 4
-        mplot.ncolumns = 2
+        mplot.layout[:ncolumns] = 2
    elseif nsubplots <= 6
-        mplot.ncolumns = 3
+        mplot.layout[:ncolumns] = 3
    elseif nsubplots <= 12
-        mplot.ncolumns = 4
+        mplot.layout[:ncolumns] = 4
    else
-        mplot.ncolumns = 5
+        mplot.layout[:ncolumns] = 5
    end

    for series in plt.series_list
@@ -452,7 +461,7 @@ 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, InspectDR.BoundingBox(0,0,0,0))
+    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??

@@ -471,7 +480,11 @@ function _update_plot_object(plt::Plot{InspectDRBackend})
    mplot = _inspectdr_getmplot(plt.o)
    if nothing == mplot; return; end

-    #TODO: should plotbb be computed here??
+    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
@@ -2,6 +2,10 @@

 # 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,
@@ -22,8 +26,8 @@ const _pgfplots_attr = merge_with_base_supported([
    :guide, :lims, :ticks, :scale, :flip, :rotation,
    :tickfont, :guidefont, :legendfont,
    :grid, :legend,
-    # :colorbar,
-    # :marker_z, :levels,
+    :colorbar,
+    :fill_z, :line_z, :marker_z, :levels,
    # :ribbon, :quiver, :arrow,
    # :orientation,
    # :overwrite_figure,
@@ -31,10 +35,14 @@ const _pgfplots_attr = merge_with_base_supported([
    # :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]
+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] #vcat(_allMarkers, Shape)
+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]


@@ -79,6 +87,7 @@ const _pgfplots_markers = KW(
    :star6 => "asterisk",
    :diamond => "diamond*",
    :pentagon => "pentagon*",
+    :hline => "-"
 )

 const _pgfplots_legend_pos = KW(
@@ -86,6 +95,7 @@ const _pgfplots_legend_pos = KW(
    :bottomright => "south east",
    :topright => "north east",
    :topleft => "north west",
+    :outertopright => "outer north east",
 )


@@ -98,47 +108,82 @@ 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)
+function pgf_color(c::Colorant)
    cstr = @sprintf("{rgb,1:red,%.8f;green,%.8f;blue,%.8f}", red(c), green(c), blue(c))
    cstr, alpha(c)
 end

-function pgf_fillstyle(d::KW)
-    cstr,a = pgf_color(d[:fillcolor])
+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
+
+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
    "fill = $cstr, fill opacity=$a"
 end

-function pgf_linestyle(d::KW)
-    cstr,a = pgf_color(d[:linecolor])
+function pgf_linestyle(d, i = 1)
+    cstr,a = pgf_color(get_linecolor(d, i))
+    la = get_linealpha(d, i)
+    if la != nothing
+        a = la
+    end
    """
    color = $cstr,
    draw opacity=$a,
-    line width=$(d[:linewidth]),
-    $(get(_pgfplots_linestyles, d[:linestyle], "solid"))"""
+    line width=$(get_linewidth(d, i)),
+    $(get(_pgfplots_linestyles, get_linestyle(d, i), "solid"))"""
 end

-function pgf_marker(d::KW)
-    shape = d[:markershape]
-    cstr, a = pgf_color(d[:markercolor])
-    cstr_stroke, a_stroke = pgf_color(d[:markerstrokecolor])
+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)))
    """
    mark = $(get(_pgfplots_markers, shape, "*")),
-    mark size = $(0.5 * d[:markersize]),
+    mark size = $(0.5 * _cycle(d[:markersize], i)),
    mark options = {
        color = $cstr_stroke, draw opacity = $a_stroke,
        fill = $cstr, fill opacity = $a,
-        line width = $(d[:markerstrokewidth]),
+        line width = $(_cycle(d[:markerstrokewidth], i)),
        rotate = $(shape == :dtriangle ? 180 : 0),
-        $(get(_pgfplots_linestyles, d[:markerstrokestyle], "solid"))
+        $(get(_pgfplots_linestyles, _cycle(d[:markerstrokestyle], i), "solid"))
    }"""
 end

@@ -160,28 +205,20 @@ end
 function pgf_series(sp::Subplot, series::Series)
    d = series.d
    st = d[:seriestype]
-    style = []
-    kw = KW()
-
-    push!(style, pgf_linestyle(d))
-    push!(style, pgf_marker(d))
-
-    if d[:fillrange] != nothing || st in (:shape,)
-        push!(style, pgf_fillstyle(d))
-    end
-
-    # add to legend?
-    if sp[:legend] != :none && should_add_to_legend(series)
-        kw[:legendentry] = d[:label]
-    else
-        push!(style, "forget plot")
-    end
+    series_collection = PGFPlots.Plot[]

    # 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
@@ -192,34 +229,131 @@ 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

-    # include additional style, then add to the kw
+    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")
    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

-    # build/return the series object
+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]
    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
-    func(args...; kw...)
+    return func(([arg[1]] for arg in args)...; kw...)
 end

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

 function pgf_axis(sp::Subplot, letter)
@@ -227,6 +361,12 @@ 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]

@@ -244,22 +384,69 @@ function pgf_axis(sp::Subplot, letter)
    end

    # ticks on or off
-    if axis[:ticks] in (nothing, false)
+    if axis[:ticks] in (nothing, false, :none) || framestyle == :none
        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 = axis_limits(axis)
+        lims = ispolar(sp) && letter == :x ? rad2deg.(axis_limits(axis)) : axis_limits(axis)
        kw[Symbol(letter,:min)] = lims[1]
        kw[Symbol(letter,:max)] = lims[2]
    end

-    if !(axis[:ticks] in (nothing, false, :none, :auto))
+    if !(axis[:ticks] in (nothing, false, :none, :native)) && framestyle != :none
        ticks = get_ticks(axis)
-        push!(style, string(letter, "tick = {", join(ticks[1],","), "}"))
-        push!(style, string(letter, "ticklabels = {", join(ticks[2],","), "}"))
+        #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")))
+    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 = {color = black, draw opacity=1.0, line width=0.5), solid}}"))
+    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}"))
    end

    # return the style list and KW args
@@ -274,6 +461,7 @@ function _update_plot_object(plt::Plot{PGFPlotsBackend})
    # 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
        style = ["unbounded coords=jump"]
@@ -305,7 +493,6 @@ function _update_plot_object(plt::Plot{PGFPlotsBackend})
            kw[:title] = "$(sp[:title])"
        end

-        sp[:grid] && push!(style, "grid = major")
        if sp[:aspect_ratio] in (1, :equal)
            kw[:axisEqual] = "true"
        end
@@ -315,15 +502,54 @@ function _update_plot_object(plt::Plot{PGFPlotsBackend})
            kw[:legendPos] = _pgfplots_legend_pos[legpos]
        end

+        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
-        o = axisf(; style = style, kw...)
+
+        # 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...)

        # add the series object to the PGFPlots.Axis
        for series in series_list(sp)
-            push!(o, pgf_series(sp, series))
+            push!.(o, pgf_series(sp, series))

            # add series annotations
            anns = series[:series_annotations]
@@ -334,7 +560,7 @@ function _update_plot_object(plt::Plot{PGFPlotsBackend})

        # add the annotations
        for ann in sp[:annotations]
-            pgf_add_annotation!(o,ann...)
+            pgf_add_annotation!(o, locate_annotation(sp, ann...)...)
        end


@@ -1,11 +1,15 @@

 # 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([
    :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,
@@ -15,12 +19,18 @@ const _plotly_attr = merge_with_base_supported([
    :markerstrokewidth, :markerstrokecolor, :markerstrokealpha, :markerstrokestyle,
    :fillrange, :fillcolor, :fillalpha,
    :bins,
-    :title, :title_location, :titlefont,
+    :title, :title_location,
+    :titlefontfamily, :titlefontsize, :titlefonthalign, :titlefontvalign,
+    :titlefontcolor,
+    :legendfontfamily, :legendfontsize, :legendfontcolor,
+    :tickfontfamily, :tickfontsize, :tickfontcolor,
+    :guidefontfamily, :guidefontsize, :guidefontcolor,
    :window_title,
    :guide, :lims, :ticks, :scale, :flip, :rotation,
    :tickfont, :guidefont, :legendfont,
-    :grid, :legend, :colorbar,
-    :marker_z, :fill_z, :levels,
+    :grid, :gridalpha, :gridlinewidth,
+    :legend, :colorbar, :colorbar_title,
+    :marker_z, :fill_z, :line_z, :levels,
    :ribbon, :quiver,
    :orientation,
    # :overwrite_figure,
@@ -32,11 +42,16 @@ const _plotly_attr = merge_with_base_supported([
    :inset_subplots,
    :bar_width,
    :clims,
+    :framestyle,
+    :tick_direction,
+    :camera,
+    :contour_labels,
  ])

 const _plotly_seriestype = [
-    :path, :scatter, :bar, :pie, :heatmap,
+    :path, :scatter, :pie, :heatmap,
    :contour, :surface, :wireframe, :path3d, :scatter3d, :shape, :scattergl,
+    :straightline
 ]
 const _plotly_style = [:auto, :solid, :dash, :dot, :dashdot]
 const _plotly_marker = [
@@ -46,6 +61,17 @@ const _plotly_marker = [
 const _plotly_scale = [: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


 # --------------------------------------------------------------------------------------
@@ -62,8 +88,6 @@ const _plotly_js_path_remote = "https://cdn.plot.ly/plotly-latest.min.js"

 function _initialize_backend(::PlotlyBackend; kw...)
  @eval begin
-    import JSON
-
    _js_code = open(readstring, _plotly_js_path, "r")

    # borrowed from https://github.com/plotly/plotly.py/blob/2594076e29584ede2d09f2aa40a8a195b3f3fc66/plotly/offline/offline.py#L64-L71 c/o @spencerlyon2
@@ -107,7 +131,7 @@ const _plotly_legend_pos = KW(
    )

 plotly_legend_pos(pos::Symbol) = get(_plotly_legend_pos, pos, [1.,1.])
-plotly_legend_pos{S<:Real, T<:Real}(v::Tuple{S,T}) = v
+plotly_legend_pos(v::Tuple{S,T}) where {S<:Real, T<:Real} = v

 function plotly_font(font::Font, color = font.color)
    KW(
@@ -123,7 +147,7 @@ function plotly_annotation_dict(x, y, val; xref="paper", yref="paper")
        :text => val,
        :xref => xref,
        :x => x,
-        :yref => xref,
+        :yref => yref,
        :y => y,
        :showarrow => false,
    )
@@ -209,34 +233,48 @@ function plotly_domain(sp::Subplot, letter)
 end


-function plotly_axis(axis::Axis, sp::Subplot)
+function plotly_axis(plt::Plot, axis::Axis, sp::Subplot)
    letter = axis[:letter]
+    framestyle = sp[:framestyle]
    ax = KW(
+        :visible    => framestyle != :none,
        :title      => axis[:guide],
-        :showgrid   => sp[:grid],
-        :zeroline   => false,
-        :ticks      => "inside",
+        :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],
    )

    if letter in (:x,:y)
        ax[:domain] = plotly_domain(sp, letter)
-        ax[:anchor] = "$(letter==:x ? :y : :x)$(plotly_subplot_index(sp))"
+        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)
+        end
+        ax[:anchor] = "$(letter==:x ? "y$(y_idx)" : "x$(x_idx)")"
    end

    ax[:tickangle] = -axis[:rotation]
+    lims = axis_limits(axis)

-    if !(axis[:ticks] in (nothing, :none))
-        ax[:titlefont] = plotly_font(axis[:guidefont], axis[:foreground_color_guide])
+    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[: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] = map(scalefunc(axis[:scale]), lims)
-        end
+        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]
@@ -244,8 +282,8 @@ function plotly_axis(axis::Axis, sp::Subplot)
        end

        # ticks
-        ticks = get_ticks(axis)
-        if ticks != :auto
+        if axis[:ticks] != :native
+            ticks = get_ticks(axis)
            ttype = ticksType(ticks)
            if ttype == :ticks
                ax[:tickmode] = "array"
@@ -260,6 +298,23 @@ function plotly_axis(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

@@ -269,14 +324,13 @@ 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=>0, :r=>0, :t=>20)
+    d_out[:margin] = KW(:l=>0, :b=>20, :r=>0, :t=>20)

    d_out[:annotations] = KW[]

    for sp in plt.subplots
-        spidx = plotly_subplot_index(sp)
-
-
+        spidx = sp[:subplot_index]
+        x_idx, y_idx = plotly_link_indicies(plt, 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] != ""
@@ -290,22 +344,40 @@ 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)
-            titlefont = font(sp[:titlefont], :top, sp[:foreground_color_title])
-            push!(d_out[:annotations], plotly_annotation_dict(titlex, titley, text(sp[:title], titlefont)))
+            title_font = font(titlefont(sp), :top)
+            push!(d_out[:annotations], plotly_annotation_dict(titlex, titley, text(sp[:title], title_font)))
        end

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

+        # set to supported framestyle
+        sp[:framestyle] = _plotly_framestyle(sp[:framestyle])
+
        # 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$spidx") => plotly_axis(sp[:xaxis], sp),
-                Symbol("yaxis$spidx") => plotly_axis(sp[:yaxis], sp),
-                Symbol("zaxis$spidx") => plotly_axis(sp[:zaxis], sp),
+                Symbol("xaxis$(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,
+                    ),
+                ),
            )
+        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$spidx")] = plotly_axis(sp[:xaxis], sp)
-            d_out[Symbol("yaxis$spidx")] = plotly_axis(sp[:yaxis], sp)
+            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
        end

        # legend
@@ -315,15 +387,17 @@ function plotly_layout(plt::Plot)
            d_out[:legend] = KW(
                :bgcolor  => rgba_string(sp[:background_color_legend]),
                :bordercolor => rgba_string(sp[:foreground_color_legend]),
-                :font     => plotly_font(sp[:legendfont], sp[:foreground_color_legend]),
+                :font     => plotly_font(legendfont(sp)),
+                :tracegroupgap => 0,
                :x => xpos,
                :y => ypos
            )
        end

        # annotations
-        append!(d_out[:annotations], KW[plotly_annotation_dict(ann...; xref = "x$spidx", yref = "y$spidx") for ann in sp[: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]
@@ -331,7 +405,7 @@ function plotly_layout(plt::Plot)
                push!(d_out[:annotations], plotly_annotation_dict(
                    xi,
                    yi,
-                    PlotText(str,fnt); xref = "x$spidx", yref = "y$spidx")
+                    PlotText(str,fnt); xref = "x$(x_idx)", yref = "y$(y_idx)")
                )
            end
        end
@@ -367,9 +441,17 @@ end


 function plotly_colorscale(grad::ColorGradient, α)
-    [[grad.values[i], rgb_string(grad.colors[i])] for i in 1:length(grad.colors)]
+    [[grad.values[i], rgba_string(plot_color(grad.colors[i], α))] 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)


@@ -384,9 +466,15 @@ const _plotly_markers = KW(
    :hline      => "line-ew",
 )

-function plotly_subplot_index(sp::Subplot)
-    spidx = sp[:subplot_index]
-    spidx == 1 ? "" : spidx
+# 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
 end


@@ -401,14 +489,55 @@ function plotly_close_shapes(x, y)
    nanvcat(xs), nanvcat(ys)
 end

-plotly_data(v) = collect(v)
+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{R<:Rational}(v::AbstractArray{R}) = float(v)
+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)
+
 # 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)
    st = series[:seriestype]
@@ -420,24 +549,31 @@ function plotly_series(plt::Plot, series::Series)
    d_out = KW()

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

-    x, y = plotly_data(series[:x]), plotly_data(series[:y])
+    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))
+    )
+
    d_out[:name] = series[:label]

    isscatter = st in (:scatter, :scatter3d, :scattergl)
    hasmarker = isscatter || series[:markershape] != :none
-    hasline = st in (:path, :path3d)
+    hasline = st in (:path, :path3d, :straightline)
+    hasfillrange = st in (:path, :scatter, :scattergl, :straightline) &&
+        (isa(series[:fillrange], AbstractVector) || isa(series[:fillrange], Tuple))

-    # for surface types, set the data
-    if st in (:heatmap, :contour, :surface, :wireframe)
-        for letter in [:x,:y,:z]
-            d_out[letter] = plotly_surface_data(series, series[letter])
-        end
-    end
+    d_out[:colorbar] = KW(:title => sp[:colorbar_title])

    clims = sp[:clims]
    if is_2tuple(clims)
@@ -445,59 +581,43 @@ function plotly_series(plt::Plot, series::Series)
    end

    # set the "type"
-    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], d_out[:orientation] = if isvertical(series)
-            x, y, "v"
-        else
-            y, x, "h"
-        end
-        d_out[:marker] = KW(:color => rgba_string(series[:fillcolor]))
+    if st in (:path, :scatter, :scattergl, :straightline, :path3d, :scatter3d)
+        return plotly_series_segments(series, d_out, x, y, z)

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

    elseif st == :pie
@@ -506,16 +626,6 @@ 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()
@@ -523,98 +633,233 @@ 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 * series[:markersize],
-            # :color => rgba_string(series[:markercolor]),
+            :size => 2 * _cycle(series[:markersize], inds),
+            :color => rgba_string.(plot_color.(get_markercolor.(series, inds), get_markeralpha.(series, inds))),
            :line => KW(
-                :color => rgba_string(series[:markerstrokecolor]),
-                :width => series[:markerstrokewidth],
+                :color => rgba_string.(plot_color.(get_markerstrokecolor.(series, inds), get_markerstrokealpha.(series, inds))),
+                :width => _cycle(series[:markerstrokewidth], inds),
            ),
        )
-
-        # 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])

-    [d_out]
+    return [d_out]
 end

 function plotly_series_shapes(plt::Plot, series::Series)
-    d_outs = []
+    segments = iter_segments(series)
+    d_outs = Vector{KW}(length(segments))

    # 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
-    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_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[:x]), plotly_data(series[:y])
-    for (i,rng) in enumerate(iter_segments(x,y))
+    x, y = (plotly_data(series, letter, data)
+        for (letter, data) in zip((:x, :y), shape_data(series))
+    )
+
+    for (i,rng) in enumerate(segments)
        length(rng) < 2 && continue

        # to draw polygons, we actually draw lines with fill
-        d_out = merge(base_d, KW(
+        d_out = merge(d_base, KW(
            :type => "scatter",
            :mode => "lines",
            :x => vcat(x[rng], x[rng[1]]),
            :y => vcat(y[rng], y[rng[1]]),
            :fill => "tozeroy",
-            :fillcolor => rgba_string(cycle(series[:fillcolor], i)),
+            :fillcolor => rgba_string(plot_color(get_fillcolor(series, i), get_fillalpha(series, i))),
        ))
        if series[:markerstrokewidth] > 0
            d_out[:line] = KW(
-                :color => rgba_string(cycle(series[:linecolor], i)),
-                :width => series[:linewidth],
-                :dash => string(series[:linestyle]),
+                :color => rgba_string(plot_color(get_linecolor(series, i), get_linealpha(series, i))),
+                :width => get_linewidth(series, i),
+                :dash => string(get_linestyle(series, i)),
            )
        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))
-        push!(d_outs, d_out)
+        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))
    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, series[:hover])
+
+        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]
+                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[: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,
+        :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])
-        d_out[:t] = rad2deg(pop!(d_out, :x))
-        d_out[:r] = pop!(d_out, :y)
+        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
    end
 end

@@ -629,21 +874,23 @@ function plotly_hover!(d_out::KW, hover)
 end

 # get a list of dictionaries, each representing the series params
-function plotly_series_json(plt::Plot)
+function plotly_series(plt::Plot)
    slist = []
    for series in plt.series_list
        append!(slist, plotly_series(plt, series))
    end
-    JSON.json(slist)
-    # JSON.json(map(series -> plotly_series(plt, series), plt.series_list))
+    slist
 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 : _plotly_js_path
+    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>"
 end
@@ -681,6 +928,11 @@ function _show(io::IO, ::MIME"image/png", plt::Plot{PlotlyBackend})
 end

 function _show(io::IO, ::MIME"image/svg+xml", plt::Plot{PlotlyBackend})
+    error("svg output from the plotly backend is not supported.  Please use plotlyjs instead.")
+end
+
+function Base.show(io::IO, ::MIME"text/html", plt::Plot{PlotlyBackend})
+    prepare_output(plt)
    write(io, html_head(plt) * html_body(plt))
 end

@@ -1,3 +1,6 @@
+@require Revise begin
+    Revise.track(Plots, joinpath(Pkg.dir("Plots"), "src", "backends", "plotlyjs.jl")) 
+end

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

@@ -85,7 +88,8 @@ end

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

-function _show(io::IO, ::MIME"image/svg+xml", plt::Plot{PlotlyJSBackend})
+function Base.show(io::IO, ::MIME"text/html", plt::Plot{PlotlyJSBackend})
+    prepare_output(plt)
    if isijulia() && !_use_remote[]
        write(io, PlotlyJS.html_body(PlotlyJS.JupyterPlot(plt.o)))
    else
@@ -98,6 +102,7 @@ function plotlyjs_save_hack(io::IO, plt::Plot{PlotlyJSBackend}, ext::String)
    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")
@@ -1,6 +1,9 @@

 # https://github.com/stevengj/PyPlot.jl

+@require Revise begin
+    Revise.track(Plots, joinpath(Pkg.dir("Plots"), "src", "backends", "pyplot.jl"))
+end

 const _pyplot_attr = merge_with_base_supported([
    :annotations,
@@ -16,8 +19,12 @@ const _pyplot_attr = merge_with_base_supported([
    :title, :title_location, :titlefont,
    :window_title,
    :guide, :lims, :ticks, :scale, :flip, :rotation,
-    :tickfont, :guidefont, :legendfont,
-    :grid, :legend, :colorbar,
+    :titlefontfamily, :titlefontsize, :titlefontcolor,
+    :legendfontfamily, :legendfontsize, :legendfontcolor,
+    :tickfontfamily, :tickfontsize, :tickfontcolor,
+    :guidefontfamily, :guidefontsize, :guidefontcolor,
+    :grid, :gridalpha, :gridstyle, :gridlinewidth,
+    :legend, :legendtitle, :colorbar,
    :marker_z, :line_z, :fill_z,
    :levels,
    :ribbon, :quiver, :arrow,
@@ -31,9 +38,14 @@ const _pyplot_attr = merge_with_base_supported([
    :inset_subplots,
    :dpi,
    :colorbar_title,
+    :stride,
+    :framestyle,
+    :tick_direction,
+    :camera,
+    :contour_labels,
  ])
 const _pyplot_seriestype = [
-        :path, :steppre, :steppost, :shape,
+        :path, :steppre, :steppost, :shape, :straightline,
        :scatter, :hexbin, #:histogram2d, :histogram,
        # :bar,
        :heatmap, :pie, :image,
@@ -55,8 +67,6 @@ function add_backend_string(::PyPlotBackend)
    withenv("PYTHON" => "") do
        Pkg.build("PyPlot")
    end
-    import Conda
-    Conda.add("qt=4.8.5")

    # now restart julia!
    """
@@ -72,32 +82,30 @@ function _initialize_backend(::PyPlotBackend)
        append!(Base.Multimedia.displays, otherdisplays)

        export PyPlot
-        const pycolors = PyPlot.pywrap(PyPlot.pyimport("matplotlib.colors"))
-        const pypath = PyPlot.pywrap(PyPlot.pyimport("matplotlib.path"))
-        const mplot3d = PyPlot.pywrap(PyPlot.pyimport("mpl_toolkits.mplot3d"))
-        const pypatches = PyPlot.pywrap(PyPlot.pyimport("matplotlib.patches"))
-        const pyfont = PyPlot.pywrap(PyPlot.pyimport("matplotlib.font_manager"))
-        const pyticker = PyPlot.pywrap(PyPlot.pyimport("matplotlib.ticker"))
-        const pycmap = PyPlot.pywrap(PyPlot.pyimport("matplotlib.cm"))
-        const pynp = PyPlot.pywrap(PyPlot.pyimport("numpy"))
-        pynp.seterr(invalid="ignore")
-        const pytransforms = PyPlot.pywrap(PyPlot.pyimport("matplotlib.transforms"))
-        const pycollections = PyPlot.pywrap(PyPlot.pyimport("matplotlib.collections"))
-        const pyart3d = PyPlot.pywrap(PyPlot.pyimport("mpl_toolkits.mplot3d.art3d"))
-    end
-    if is_linux()
-      @eval begin
-        # avoid Conda update that causes Segfault with qt >=4.8.6 on Ubuntu https://github.com/JuliaPy/PyPlot.jl/issues/234
-        import Conda
-        kw = Conda._installed_packages_dict()
-        if (!haskey(kw,"qt") || (qt_version=get(kw,"qt",0)[1]!=v"4.8.5"))
-          print("\n If the code has a Segmentation fault error switch to qt v4.8.5 by pasting the following code into julia: \n \n")
-          print(add_backend_string(PyPlotBackend()))
+        const pycolors = PyPlot.pyimport("matplotlib.colors")
+        const pypath = PyPlot.pyimport("matplotlib.path")
+        const mplot3d = PyPlot.pyimport("mpl_toolkits.mplot3d")
+        const pypatches = PyPlot.pyimport("matplotlib.patches")
+        const pyfont = PyPlot.pyimport("matplotlib.font_manager")
+        const pyticker = PyPlot.pyimport("matplotlib.ticker")
+        const pycmap = PyPlot.pyimport("matplotlib.cm")
+        const pynp = PyPlot.pyimport("numpy")
+        pynp["seterr"](invalid="ignore")
+        const pytransforms = PyPlot.pyimport("matplotlib.transforms")
+        const pycollections = PyPlot.pyimport("matplotlib.collections")
+        const pyart3d = PyPlot.art3D
+
+        # "support" matplotlib v1.5
+        const set_facecolor_sym = if PyPlot.version < v"2"
+            warn("You are using Matplotlib $(PyPlot.version), which is no longer officialy supported by the Plots community. To ensure smooth Plots.jl integration update your Matplotlib library to a version >= 2.0.0")
+            :set_axis_bgcolor
+        else
+            :set_facecolor
        end
-      end
+
+        # we don't want every command to update the figure
+        PyPlot.ioff()
    end
-    # we don't want every command to update the figure
-    PyPlot.ioff()
 end

 # --------------------------------------------------------------------------------------
@@ -113,7 +121,7 @@ end

 # function py_colormap(c::ColorGradient, α=nothing)
 #     pyvals = [(v, py_color(getColorZ(c, v), α)) for v in c.values]
-#     pycolors.pymember("LinearSegmentedColormap")[:from_list]("tmp", pyvals)
+#     pycolors["LinearSegmentedColormap"][:from_list]("tmp", pyvals)
 # end

 # # convert vectors and ColorVectors to standard ColorGradients
@@ -124,13 +132,15 @@ end
 # # anything else just gets a bluesred gradient
 # py_colormap(c, α=nothing) = py_colormap(default_gradient(), α)

+py_color(s) = py_color(parse(Colorant, string(s)))
 py_color(c::Colorant) = (red(c), green(c), blue(c), alpha(c))
 py_color(cs::AVec) = map(py_color, cs)
 py_color(grad::ColorGradient) = py_color(grad.colors)
+py_color(c::Colorant, α) = py_color(plot_color(c, α))

 function py_colormap(grad::ColorGradient)
    pyvals = [(z, py_color(grad[z])) for z in grad.values]
-    cm = pycolors.LinearSegmentedColormap[:from_list]("tmp", pyvals)
+    cm = pycolors["LinearSegmentedColormap"][:from_list]("tmp", pyvals)
    cm[:set_bad](color=(0,0,0,0.0), alpha=0.0)
    cm
 end
@@ -139,7 +149,7 @@ py_colormap(c) = py_colormap(cgrad())

 function py_shading(c, z)
    cmap = py_colormap(c)
-    ls = pycolors.pymember("LightSource")(270,45)
+    ls = pycolors["LightSource"](270,45)
    ls[:shade](z, cmap, vert_exag=0.1, blend_mode="soft")
 end

@@ -163,7 +173,7 @@ function py_marker(marker::Shape)
        mat[i,2] = y[i]
    end
    mat[n+1,:] = mat[1,:]
-    pypath.pymember("Path")(mat)
+    pypath["Path"](mat)
 end

 const _path_MOVETO = UInt8(1)
@@ -189,7 +199,7 @@ const _path_CLOSEPOLY = UInt8(79)
 #         lastnan = nan
 #     end
 #     codes[n+1] = _path_CLOSEPOLY
-#     pypath.pymember("Path")(mat, codes)
+#     pypath["Path"](mat, codes)
 # end

 # get the marker shape
@@ -207,6 +217,8 @@ function py_marker(marker::Symbol)
    marker == :hexagon && return "h"
    marker == :octagon && return "8"
    marker == :pixel && return ","
+    marker == :hline && return "_"
+    marker == :vline && return "|"
    haskey(_shapes, marker) && return py_marker(_shapes[marker])

    warn("Unknown marker $marker")
@@ -231,16 +243,22 @@ function py_stepstyle(seriestype::Symbol)
    return "default"
 end

+function py_fillstepstyle(seriestype::Symbol)
+    seriestype == :steppost && return "post"
+    seriestype == :steppre && return "pre"
+    return nothing
+end
+
 # # untested... return a FontProperties object from a Plots.Font
 # function py_font(font::Font)
-#     pyfont.pymember("FontProperties")(
+#     pyfont["FontProperties"](
 #         family = font.family,
 #         size = font.size
 #     )
 # end

 function get_locator_and_formatter(vals::AVec)
-    pyticker.pymember("FixedLocator")(1:length(vals)), pyticker.pymember("FixedFormatter")(vals)
+    pyticker["FixedLocator"](1:length(vals)), pyticker["FixedFormatter"](vals)
 end

 function add_pyfixedformatter(cbar, vals::AVec)
@@ -262,9 +280,9 @@ function labelfunc(scale::Symbol, backend::PyPlotBackend)
 end

 function py_mask_nans(z)
-    # PyPlot.pywrap(pynp.ma[:masked_invalid](PyPlot.pywrap(z)))
-    PyCall.pycall(pynp.ma[:masked_invalid], Any, z)
-    # pynp.ma[:masked_where](pynp.isnan(z),z)
+    # pynp["ma"][:masked_invalid](z)))
+    PyCall.pycall(pynp["ma"][:masked_invalid], Any, z)
+    # pynp["ma"][:masked_where](pynp["isnan"](z),z)
 end

 # ---------------------------------------------------------------------------
@@ -436,14 +454,24 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)

    # ax = getAxis(plt, series)
    x, y, z = series[:x], series[:y], series[:z]
+    if st == :straightline
+        x, y = straightline_data(series)
+    elseif st == :shape
+        x, y = shape_data(series)
+    end
    xyargs = (st in _3dTypes ? (x,y,z) : (x,y))

    # handle zcolor and get c/cmap
-    extrakw = KW()
+    needs_colorbar = hascolorbar(sp)
+    extrakw = if needs_colorbar || is_2tuple(sp[:clims])
+        vmin, vmax = get_clims(sp)
+        KW(:vmin => vmin, :vmax => vmax)
+    else
+        KW()
+    end

    # holds references to any python object representing the matplotlib series
    handles = []
-    needs_colorbar = false
    discrete_colorbar_values = nothing


@@ -464,68 +492,52 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
    # for each plotting command, optionally build and add a series handle to the list

    # line plot
-    if st in (:path, :path3d, :steppre, :steppost)
-        if series[:linewidth] > 0
-            if series[:line_z] == nothing
-                handle = ax[:plot](xyargs...;
-                    label = series[:label],
-                    zorder = series[:series_plotindex],
-                    color = py_linecolor(series),
-                    linewidth = py_dpi_scale(plt, series[:linewidth]),
-                    linestyle = py_linestyle(st, series[:linestyle]),
-                    solid_capstyle = "round",
-                    drawstyle = py_stepstyle(st)
-                )[1]
-                push!(handles, handle)
-
-            else
-                # multicolored line segments
-                n = length(x) - 1
-                # segments = Array(Any,n)
-                segments = []
-                kw = KW(
-                    :label => series[:label],
-                    :zorder => plt.n,
-                    :cmap => py_linecolormap(series),
-                    :linewidth => py_dpi_scale(plt, series[:linewidth]),
-                    :linestyle => py_linestyle(st, series[:linestyle])
-                )
-                clims = sp[:clims]
-                if is_2tuple(clims)
-                    extrakw = KW()
-                    isfinite(clims[1]) && (extrakw[:vmin] = clims[1])
-                    isfinite(clims[2]) && (extrakw[:vmax] = clims[2])
-                    kw[:norm] = pycolors.Normalize(; extrakw...)
+    if st in (:path, :path3d, :steppre, :steppost, :straightline)
+        if maximum(series[:linewidth]) > 0
+            segments = iter_segments(series)
+            # TODO: check LineCollection alternative for speed
+            # if length(segments) > 1 && (any(typeof(series[attr]) <: AbstractVector for attr in (:fillcolor, :fillalpha)) || series[:fill_z] != nothing) && !(typeof(series[:linestyle]) <: AbstractVector)
+            #     # multicolored line segments
+            #     n = length(segments)
+            #     # segments = Array(Any,n)
+            #     segments = []
+            #     kw = KW(
+            #         :label => series[:label],
+            #         :zorder => plt.n,
+            #         :cmap => py_linecolormap(series),
+            #         :linewidths => py_dpi_scale(plt, get_linewidth.(series, 1:n)),
+            #         :linestyle => py_linestyle(st, get_linestyle.(series)),
+            #         :norm => pycolors["Normalize"](; extrakw...)
+            #     )
+            #     lz = _cycle(series[:line_z], 1:n)
+            #     handle = if is3d(st)
+            #         line_segments = [[(x[j], y[j], z[j]) for j in rng] for rng in segments]
+            #         lc = pyart3d["Line3DCollection"](line_segments; kw...)
+            #         lc[:set_array](lz)
+            #         ax[:add_collection3d](lc, zs=z) #, zdir='y')
+            #         lc
+            #     else
+            #         line_segments = [[(x[j], y[j]) for j in rng] for rng in segments]
+            #         lc = pycollections["LineCollection"](line_segments; kw...)
+            #         lc[:set_array](lz)
+            #         ax[:add_collection](lc)
+            #         lc
+            #     end
+            #     push!(handles, handle)
+            # else
+                for (i, rng) in enumerate(iter_segments(series))
+                    handle = ax[:plot]((arg[rng] for arg in xyargs)...;
+                        label = i == 1 ? series[:label] : "",
+                        zorder = series[:series_plotindex],
+                        color = py_color(get_linecolor(series, i), get_linealpha(series, i)),
+                        linewidth = py_dpi_scale(plt, get_linewidth(series, i)),
+                        linestyle = py_linestyle(st, get_linestyle(series, i)),
+                        solid_capstyle = "round",
+                        drawstyle = py_stepstyle(st)
+                    )[1]
+                    push!(handles, handle)
                end
-                lz = collect(series[:line_z])
-                handle = if is3d(st)
-                    for rng in iter_segments(x, y, z)
-                        length(rng) < 2 && continue
-                        push!(segments, [(cycle(x,i),cycle(y,i),cycle(z,i)) for i in rng])
-                    end
-                    # for i=1:n
-                    #     segments[i] = [(cycle(x,i), cycle(y,i), cycle(z,i)), (cycle(x,i+1), cycle(y,i+1), cycle(z,i+1))]
-                    # end
-                    lc = pyart3d.Line3DCollection(segments; kw...)
-                    lc[:set_array](lz)
-                    ax[:add_collection3d](lc, zs=z) #, zdir='y')
-                    lc
-                else
-                    for rng in iter_segments(x, y)
-                        length(rng) < 2 && continue
-                        push!(segments, [(cycle(x,i),cycle(y,i)) for i in rng])
-                    end
-                    # for i=1:n
-                    #     segments[i] = [(cycle(x,i), cycle(y,i)), (cycle(x,i+1), cycle(y,i+1))]
-                    # end
-                    lc = pycollections.LineCollection(segments; kw...)
-                    lc[:set_array](lz)
-                    ax[:add_collection](lc)
-                    lc
-                end
-                push!(handles, handle)
-                needs_colorbar = true
-            end
+            # end

            a = series[:arrow]
            if a != nothing && !is3d(st)  # TODO: handle 3d later
@@ -538,8 +550,8 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
                        :shrinkB => 0,
                        :edgecolor => py_linecolor(series),
                        :facecolor => py_linecolor(series),
-                        :linewidth => py_dpi_scale(plt, series[:linewidth]),
-                        :linestyle => py_linestyle(st, series[:linestyle]),
+                        :linewidth => py_dpi_scale(plt, get_linewidth(series)),
+                        :linestyle => py_linestyle(st, get_linestyle(series)),
                    )
                    add_arrows(x, y) do xyprev, xy
                        ax[:annotate]("",
@@ -558,19 +570,12 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
    if series[:markershape] != :none && st in (:path, :scatter, :path3d,
                                          :scatter3d, :steppre, :steppost,
                                          :bar)
-        extrakw = KW()
-        if series[:marker_z] == nothing
-            extrakw[:c] = py_color_fix(py_markercolor(series), x)
+        markercolor = if any(typeof(series[arg]) <: AVec for arg in (:markercolor, :markeralpha)) || series[:marker_z] != nothing
+            py_color(plot_color.(get_markercolor.(series, eachindex(x)), get_markeralpha.(series, eachindex(x))))
        else
-            extrakw[:c] = convert(Vector{Float64}, series[:marker_z])
-            extrakw[:cmap] = py_markercolormap(series)
-            clims = sp[:clims]
-            if is_2tuple(clims)
-                isfinite(clims[1]) && (extrakw[:vmin] = clims[1])
-                isfinite(clims[2]) && (extrakw[:vmax] = clims[2])
-            end
-            needs_colorbar = true
+            py_color(plot_color(series[:markercolor], series[:markeralpha]))
        end
+        extrakw[:c] = py_color_fix(markercolor, x)
        xyargs = if st == :bar && !isvertical(series)
            (y, x)
        else
@@ -586,17 +591,13 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
            msc = py_markerstrokecolor(series)
            lw = py_dpi_scale(plt, series[:markerstrokewidth])
            for i=1:length(y)
-                extrakw[:c] = if series[:marker_z] == nothing
-                    py_color_fix(py_color(cycle(series[:markercolor],i)), x)
-                else
-                    extrakw[:c]
-                end
+                extrakw[:c] = _cycle(markercolor, i)

-                push!(handle, ax[:scatter](cycle(x,i), cycle(y,i);
+                push!(handle, ax[:scatter](_cycle(x,i), _cycle(y,i);
                    label = series[:label],
                    zorder = series[:series_plotindex] + 0.5,
-                    marker = py_marker(cycle(shapes,i)),
-                    s =  py_dpi_scale(plt, cycle(series[:markersize],i) .^ 2),
+                    marker = py_marker(_cycle(shapes,i)),
+                    s =  py_dpi_scale(plt, _cycle(series[:markersize],i) .^ 2),
                    edgecolors = msc,
                    linewidths = lw,
                    extrakw...
@@ -619,11 +620,6 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
    end

    if st == :hexbin
-        clims = sp[:clims]
-        if is_2tuple(clims)
-            isfinite(clims[1]) && (extrakw[:vmin] = clims[1])
-            isfinite(clims[2]) && (extrakw[:vmax] = clims[2])
-        end
        handle = ax[:hexbin](x, y;
            label = series[:label],
            zorder = series[:series_plotindex],
@@ -634,32 +630,38 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
            extrakw...
        )
        push!(handles, handle)
-        needs_colorbar = true
    end

    if st in (:contour, :contour3d)
        z = transpose_z(series, z.surf)
-        needs_colorbar = true
-
-        clims = sp[:clims]
-        if is_2tuple(clims)
-            isfinite(clims[1]) && (extrakw[:vmin] = clims[1])
-            isfinite(clims[2]) && (extrakw[:vmax] = clims[2])
+	if typeof(x)<:Plots.Surface
+            x = Plots.transpose_z(series, x.surf)
+        end
+        if typeof(y)<:Plots.Surface
+            y = Plots.transpose_z(series, y.surf)
        end

        if st == :contour3d
            extrakw[:extend3d] = true
        end

+        if typeof(series[:linecolor]) <: AbstractArray
+            extrakw[:colors] = py_color.(series[:linecolor])
+        else
+            extrakw[:cmap] = py_linecolormap(series)
+        end
+
        # contour lines
        handle = ax[:contour](x, y, z, levelargs...;
            label = series[:label],
            zorder = series[:series_plotindex],
            linewidths = py_dpi_scale(plt, series[:linewidth]),
            linestyles = py_linestyle(st, series[:linestyle]),
-            cmap = py_linecolormap(series),
            extrakw...
        )
+        if series[:contour_labels] == true
+            PyPlot.clabel(handle, handle[:levels])
+        end
        push!(handles, handle)

        # contour fills
@@ -667,7 +669,6 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
            handle = ax[:contourf](x, y, z, levelargs...;
                label = series[:label],
                zorder = series[:series_plotindex] + 0.5,
-                cmap = py_fillcolormap(series),
                extrakw...
            )
            push!(handles, handle)
@@ -690,13 +691,12 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
                else
                    extrakw[:cmap] = py_fillcolormap(series)
                end
-                needs_colorbar = true
            end
            handle = ax[st == :surface ? :plot_surface : :plot_wireframe](x, y, z;
                label = series[:label],
                zorder = series[:series_plotindex],
-                rstride = 1,
-                cstride = 1,
+                rstride = series[:stride][1],
+                cstride = series[:stride][2],
                linewidth = py_dpi_scale(plt, series[:linewidth]),
                edgecolor = py_linecolor(series),
                extrakw...
@@ -706,21 +706,16 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
            # contours on the axis planes
            if series[:contours]
                for (zdir,mat) in (("x",x), ("y",y), ("z",z))
-                    offset = (zdir == "y" ? maximum : minimum)(mat)
+                    offset = (zdir == "y" ? ignorenan_maximum : ignorenan_minimum)(mat)
                    handle = ax[:contourf](x, y, z, levelargs...;
                        zdir = zdir,
                        cmap = py_fillcolormap(series),
-                        offset = (zdir == "y" ? maximum : minimum)(mat)  # where to draw the contour plane
+                        offset = (zdir == "y" ? ignorenan_maximum : ignorenan_minimum)(mat)  # where to draw the contour plane
                    )
                    push!(handles, handle)
-                    needs_colorbar = true
                end
            end

-            # no colorbar if we are creating a surface LightSource
-            if haskey(extrakw, :facecolors)
-                needs_colorbar = false
-            end

        elseif typeof(z) <: AbstractVector
            # tri-surface plot (http://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html#tri-surface-plots)
@@ -738,7 +733,6 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
                extrakw...
            )
            push!(handles, handle)
-            needs_colorbar = true
        else
            error("Unsupported z type $(typeof(z)) for seriestype=$st")
        end
@@ -746,11 +740,12 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)

    if st == :image
        # @show typeof(z)
+        xmin, xmax = ignorenan_extrema(series[:x]); ymin, ymax = ignorenan_extrema(series[:y])
        img = Array(transpose_z(series, z.surf))
        z = if eltype(img) <: Colors.AbstractGray
            float(img)
        elseif eltype(img) <: Colorant
-            map(c -> Float64[red(c),green(c),blue(c)], img)
+            map(c -> Float64[red(c),green(c),blue(c),alpha(c)], img)
        else
            z  # hopefully it's in a data format that will "just work" with imshow
        end
@@ -758,7 +753,8 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
            zorder = series[:series_plotindex],
            cmap = py_colormap([:black, :white]),
            vmin = 0.0,
-            vmax = 1.0
+            vmax = 1.0,
+            extent = (xmin, xmax, ymax, ymin)
        )
        push!(handles, handle)

@@ -769,7 +765,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
    end

    if st == :heatmap
-        x, y, z = heatmap_edges(x), heatmap_edges(y), transpose_z(series, z.surf)
+        x, y, z = heatmap_edges(x, sp[:xaxis][:scale]), heatmap_edges(y, sp[:yaxis][:scale]), transpose_z(series, z.surf)

        expand_extrema!(sp[:xaxis], x)
        expand_extrema!(sp[:yaxis], y)
@@ -778,34 +774,30 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
            discrete_colorbar_values = dvals
        end

-        clims = sp[:clims]
-        zmin, zmax = extrema(z)
-        extrakw[:vmin] = (is_2tuple(clims) && isfinite(clims[1])) ? clims[1] : zmin
-        extrakw[:vmax] = (is_2tuple(clims) && isfinite(clims[2])) ? clims[2] : zmax
-
        handle = ax[:pcolormesh](x, y, py_mask_nans(z);
            label = series[:label],
            zorder = series[:series_plotindex],
            cmap = py_fillcolormap(series),
+            alpha = series[:fillalpha],
            # edgecolors = (series[:linewidth] > 0 ? py_linecolor(series) : "face"),
            extrakw...
        )
        push!(handles, handle)
-        needs_colorbar = true
    end

    if st == :shape
        handle = []
-        for (i,rng) in enumerate(iter_segments(x, y))
+        for (i, rng) in enumerate(iter_segments(series))
            if length(rng) > 1
-                path = pypath.pymember("Path")(hcat(x[rng], y[rng]))
-                patches = pypatches.pymember("PathPatch")(
+                path = pypath["Path"](hcat(x[rng], y[rng]))
+                patches = pypatches["PathPatch"](
                    path;
                    label = series[:label],
                    zorder = series[:series_plotindex],
-                    edgecolor = py_color(cycle(series[:linecolor], i)),
-                    facecolor = py_color(cycle(series[:fillcolor], i)),
-                    linewidth = py_dpi_scale(plt, series[:linewidth]),
+                    edgecolor = py_color(get_linecolor(series, i), get_linealpha(series, i)),
+                    facecolor = py_color(get_fillcolor(series, i), get_fillalpha(series, i)),
+                    linewidth = py_dpi_scale(plt, get_linewidth(series, i)),
+                    linestyle = py_linestyle(st, get_linestyle(series, i)),
                    fill = true
                )
                push!(handle, ax[:add_patch](patches))
@@ -834,51 +826,29 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
    # # smoothing
    # handleSmooth(plt, ax, series, series[:smooth])

-    # add the colorbar legend
-    if needs_colorbar && sp[:colorbar] != :none
-        # add keyword args for a discrete colorbar
-        handle = handles[end]
-        kw = KW()
-        if discrete_colorbar_values != nothing
-            locator, formatter = get_locator_and_formatter(discrete_colorbar_values)
-            # kw[:values] = 1:length(discrete_colorbar_values)
-            kw[:values] = sp[:zaxis][:continuous_values]
-            kw[:ticks] = locator
-            kw[:format] = formatter
-            kw[:boundaries] = vcat(0, kw[:values] + 0.5)
-        end
-
-        # create and store the colorbar object (handle) and the axis that it is drawn on.
-        # note: the colorbar axis is positioned independently from the subplot axis
-        fig = plt.o
-        cbax = fig[:add_axes]([0.8,0.1,0.03,0.8], label = string(gensym()))
-        cb = fig[:colorbar](handle; cax = cbax, kw...)
-        cb[:set_label](sp[:colorbar_title])
-        sp.attr[:cbar_handle] = cb
-        sp.attr[:cbar_ax] = cbax
-    end
-
    # handle area filling
    fillrange = series[:fillrange]
    if fillrange != nothing && st != :contour
-        f, dim1, dim2 = if isvertical(series)
-            :fill_between, x, y
-        else
-            :fill_betweenx, y, x
-        end
-        n = length(dim1)
-        args = if typeof(fillrange) <: Union{Real, AVec}
-            dim1, expand_data(fillrange, n), dim2
-        elseif is_2tuple(fillrange)
-            dim1, expand_data(fillrange[1], n), expand_data(fillrange[2], n)
-        end
+        for (i, rng) in enumerate(iter_segments(series))
+            f, dim1, dim2 = if isvertical(series)
+                :fill_between, x[rng], y[rng]
+            else
+                :fill_betweenx, y[rng], x[rng]
+            end
+            n = length(dim1)
+            args = if typeof(fillrange) <: Union{Real, AVec}
+                dim1, expand_data(fillrange, n), dim2
+            elseif is_2tuple(fillrange)
+                dim1, expand_data(fillrange[1], n), expand_data(fillrange[2], n)
+            end

-        handle = ax[f](args...;
-            zorder = series[:series_plotindex],
-            facecolor = py_fillcolor(series),
-            linewidths = 0
-        )
-        push!(handles, handle)
+            handle = ax[f](args..., trues(n), false, py_fillstepstyle(st);
+                zorder = series[:series_plotindex],
+                facecolor = py_color(get_fillcolor(series, i), get_fillalpha(series, i)),
+                linewidths = 0
+            )
+            push!(handles, handle)
+        end
    end

    # this is all we need to add the series_annotations text
@@ -927,14 +897,14 @@ function py_compute_axis_minval(axis::Axis)
        for series in series_list(sp)
            v = series.d[axis[:letter]]
            if !isempty(v)
-                minval = min(minval, minimum(abs(v)))
+                minval = NaNMath.min(minval, ignorenan_minimum(abs.(v)))
            end
        end
    end

    # now if the axis limits go to a smaller abs value, use that instead
    vmin, vmax = axis_limits(axis)
-    minval = min(minval, abs(vmin), abs(vmax))
+    minval = NaNMath.min(minval, abs(vmin), abs(vmax))

    minval
 end
@@ -955,23 +925,24 @@ function py_set_scale(ax, axis::Axis)
        elseif scale == :log10
            10
        end
-        kw[Symbol(:linthresh,letter)] = max(1e-16, py_compute_axis_minval(axis))
+        kw[Symbol(:linthresh,letter)] = NaNMath.min(1e-16, py_compute_axis_minval(axis))
        "symlog"
    end
    func(arg; kw...)
 end


-function py_set_axis_colors(ax, a::Axis)
+function py_set_axis_colors(sp, ax, a::Axis)
    for (loc, spine) in ax[:spines]
        spine[:set_color](py_color(a[:foreground_color_border]))
    end
    axissym = Symbol(a[:letter], :axis)
    if haskey(ax, axissym)
+        tickcolor = sp[:framestyle] in (:zerolines, :grid) ? py_color(plot_color(a[:foreground_color_grid], a[:gridalpha])) : py_color(a[:foreground_color_axis])
        ax[:tick_params](axis=string(a[:letter]), which="both",
-                         colors=py_color(a[:foreground_color_axis]),
-                         labelcolor=py_color(a[:foreground_color_text]))
-        ax[axissym][:label][:set_color](py_color(a[:foreground_color_guide]))
+                         colors=tickcolor,
+                         labelcolor=py_color(a[:tickfontcolor]))
+        ax[axissym][:label][:set_color](py_color(a[:guidefontcolor]))
    end
 end

@@ -986,7 +957,7 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
    fig[:clear]()
    dpi = plt[:dpi]
    fig[:set_size_inches](w/dpi, h/dpi, forward = true)
-    fig[:set_facecolor](py_color(plt[:background_color_outside]))
+    fig[set_facecolor_sym](py_color(plt[:background_color_outside]))
    fig[:set_dpi](dpi)

    # resize the window
@@ -1011,7 +982,7 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})

        # add the annotations
        for ann in sp[:annotations]
-            py_add_annotations(sp, ann...)
+            py_add_annotations(sp, locate_annotation(sp, ann...)...)
        end

        # title
@@ -1025,12 +996,82 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
                :title
            end
            ax[func][:set_text](sp[:title])
-            ax[func][:set_fontsize](py_dpi_scale(plt, sp[:titlefont].pointsize))
-            ax[func][:set_family](sp[:titlefont].family)
-            ax[func][:set_color](py_color(sp[:foreground_color_title]))
+            ax[func][:set_fontsize](py_dpi_scale(plt, sp[:titlefontsize]))
+            ax[func][:set_family](sp[:titlefontfamily])
+            ax[func][:set_color](py_color(sp[:titlefontcolor]))
            # ax[:set_title](sp[:title], loc = loc)
        end

+        # add the colorbar legend
+        if hascolorbar(sp)
+            # add keyword args for a discrete colorbar
+            slist = series_list(sp)
+            colorbar_series = slist[findfirst(hascolorbar.(slist))]
+            handle = colorbar_series[:serieshandle][end]
+            kw = KW()
+            if !isempty(sp[:zaxis][:discrete_values]) && colorbar_series[:seriestype] == :heatmap
+                locator, formatter = get_locator_and_formatter(sp[:zaxis][:discrete_values])
+                # kw[:values] = 1:length(sp[:zaxis][:discrete_values])
+                kw[:values] = sp[:zaxis][:continuous_values]
+                kw[:ticks] = locator
+                kw[:format] = formatter
+                kw[:boundaries] = vcat(0, kw[:values] + 0.5)
+            elseif any(colorbar_series[attr] != nothing for attr in (:line_z, :fill_z, :marker_z))
+                cmin, cmax = get_clims(sp)
+                norm = pycolors[:Normalize](vmin = cmin, vmax = cmax)
+                f = if colorbar_series[:line_z] != nothing
+                    py_linecolormap
+                elseif colorbar_series[:fill_z] != nothing
+                    py_fillcolormap
+                else
+                    py_markercolormap
+                end
+                cmap = pycmap[:ScalarMappable](norm = norm, cmap = f(colorbar_series))
+                cmap[:set_array]([])
+                handle = cmap
+            end
+
+            # create and store the colorbar object (handle) and the axis that it is drawn on.
+            # note: the colorbar axis is positioned independently from the subplot axis
+            fig = plt.o
+            cbax = fig[:add_axes]([0.8,0.1,0.03,0.8], label = string(gensym()))
+            cb = fig[:colorbar](handle; cax = cbax, kw...)
+            cb[:set_label](sp[:colorbar_title],size=py_dpi_scale(plt, sp[:yaxis][:guidefontsize]),family=sp[:yaxis][:guidefontfamily], color = py_color(sp[:yaxis][:guidefontcolor]))
+            for lab in cb[:ax][:yaxis][:get_ticklabels]()
+                  lab[:set_fontsize](py_dpi_scale(plt, sp[:yaxis][:tickfontsize]))
+                  lab[:set_family](sp[:yaxis][:tickfontfamily])
+                  lab[:set_color](py_color(sp[:yaxis][:tickfontcolor]))
+            end
+            sp.attr[:cbar_handle] = cb
+            sp.attr[:cbar_ax] = cbax
+        end
+
+        # framestyle
+        if !ispolar(sp) && !is3d(sp)
+            if sp[:framestyle] == :semi
+                intensity = 0.5
+                ax[:spines]["right"][:set_alpha](intensity)
+                ax[:spines]["top"][:set_alpha](intensity)
+                ax[:spines]["right"][:set_linewidth](intensity)
+                ax[:spines]["top"][:set_linewidth](intensity)
+            elseif sp[:framestyle] in (:axes, :origin)
+                ax[:spines]["right"][:set_visible](false)
+                ax[:spines]["top"][:set_visible](false)
+                if sp[:framestyle] == :origin
+                    ax[:spines]["bottom"][:set_position]("zero")
+                    ax[:spines]["left"][:set_position]("zero")
+                end
+            elseif sp[:framestyle] in (:grid, :none, :zerolines)
+                for (loc, spine) in ax[:spines]
+                    spine[:set_visible](false)
+                end
+                if sp[:framestyle] == :zerolines
+                    ax[:axhline](y = 0, color = py_color(sp[:xaxis][:foreground_color_axis]), lw = 0.75)
+                    ax[:axvline](x = 0, color = py_color(sp[:yaxis][:foreground_color_axis]), lw = 0.75)
+                end
+            end
+        end
+
        # axis attributes
        for letter in (:x, :y, :z)
            axissym = Symbol(letter, :axis)
@@ -1044,25 +1085,64 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
                pyaxis[Symbol(:tick_, pos)]()        # the tick labels
            end
            py_set_scale(ax, axis)
-            py_set_lims(ax, axis)
-            py_set_ticks(ax, get_ticks(axis), letter)
+            axis[:ticks] != :native ? py_set_lims(ax, axis) : nothing
+            if ispolar(sp) && letter == :y
+                ax[:set_rlabel_position](90)
+            end
+            ticks = sp[:framestyle] == :none ? nothing : get_ticks(axis)
+            # don't show the 0 tick label for the origin framestyle
+            if sp[:framestyle] == :origin && length(ticks) > 1
+                ticks[2][ticks[1] .== 0] = ""
+            end
+            axis[:ticks] != :native ? py_set_ticks(ax, ticks, letter) : nothing
+            pyaxis[:set_tick_params](direction = axis[:tick_direction] == :out ? "out" : "in")
            ax[Symbol("set_", letter, "label")](axis[:guide])
            if get(axis.d, :flip, false)
                ax[Symbol("invert_", letter, "axis")]()
            end
-            pyaxis[:label][:set_fontsize](py_dpi_scale(plt, axis[:guidefont].pointsize))
-            pyaxis[:label][:set_family](axis[:guidefont].family)
+            pyaxis[:label][:set_fontsize](py_dpi_scale(plt, axis[:guidefontsize]))
+            pyaxis[:label][:set_family](axis[:guidefontfamily])
            for lab in ax[Symbol("get_", letter, "ticklabels")]()
-                lab[:set_fontsize](py_dpi_scale(plt, axis[:tickfont].pointsize))
-                lab[:set_family](axis[:tickfont].family)
+                lab[:set_fontsize](py_dpi_scale(plt, axis[:tickfontsize]))
+                lab[:set_family](axis[:tickfontfamily])
                lab[:set_rotation](axis[:rotation])
            end
-            if sp[:grid]
-                fgcolor = py_color(sp[:foreground_color_grid])
-                pyaxis[:grid](true, color = fgcolor)
+            if axis[:grid] && !(ticks in (:none, nothing, false))
+                fgcolor = py_color(axis[:foreground_color_grid])
+                pyaxis[:grid](true,
+                    color = fgcolor,
+                    linestyle = py_linestyle(:line, axis[:gridstyle]),
+                    linewidth = axis[:gridlinewidth],
+                    alpha = axis[:gridalpha])
                ax[:set_axisbelow](true)
+            else
+                pyaxis[:grid](false)
            end
-            py_set_axis_colors(ax, axis)
+            py_set_axis_colors(sp, ax, axis)
+        end
+
+        # showaxis
+        if !sp[:xaxis][:showaxis]
+            kw = KW()
+            for dir in (:top, :bottom)
+                if ispolar(sp)
+                    ax[:spines]["polar"][:set_visible](false)
+                else
+                    ax[:spines][string(dir)][:set_visible](false)
+                end
+                kw[dir] = kw[Symbol(:label,dir)] = "off"
+            end
+            ax[:xaxis][:set_tick_params](; which="both", kw...)
+        end
+        if !sp[:yaxis][:showaxis]
+            kw = KW()
+            for dir in (:left, :right)
+                if !ispolar(sp)
+                    ax[:spines][string(dir)][:set_visible](false)
+                end
+                kw[dir] = kw[Symbol(:label,dir)] = "off"
+            end
+            ax[:yaxis][:set_tick_params](; which="both", kw...)
        end

        # aspect ratio
@@ -1071,11 +1151,23 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
            ax[:set_aspect](isa(aratio, Symbol) ? string(aratio) : aratio, anchor = "C")
        end

+        #camera/view angle
+        if is3d(sp)
+            #convert azimuthal to match GR behaviour
+            #view_init(elevation, azimuthal) so reverse :camera args
+            ax[:view_init]((sp[:camera].-(90,0))[end:-1:1]...)
+        end
+
        # legend
        py_add_legend(plt, sp, ax)

        # this sets the bg color inside the grid
-        ax[:set_axis_bgcolor](py_color(sp[:background_color_inside]))
+        ax[set_facecolor_sym](py_color(sp[:background_color_inside]))
+
+        # link axes
+        x_ax_link, y_ax_link = sp[:xaxis].sps[1].o, sp[:yaxis].sps[1].o
+        ax != x_ax_link && ax[:get_shared_x_axes]()[:join](ax, sp[:xaxis].sps[1].o)
+        ax != y_ax_link && ax[:get_shared_y_axes]()[:join](ax, sp[:yaxis].sps[1].o)
    end
    py_drawfig(fig)
 end
@@ -1107,7 +1199,7 @@ function _update_min_padding!(sp::Subplot{PyPlotBackend})
    # optionally add the width of colorbar labels and colorbar to rightpad
    if haskey(sp.attr, :cbar_ax)
        bb = py_bbox(sp.attr[:cbar_handle][:ax][:get_yticklabels]())
-        sp.attr[:cbar_width] = _cbar_width + width(bb) + 1mm + (sp[:colorbar_title] == "" ? 0px : 30px)
+        sp.attr[:cbar_width] = _cbar_width + width(bb) + 2.3mm + (sp[:colorbar_title] == "" ? 0px : 30px)
        rightpad = rightpad + sp.attr[:cbar_width]
    end

@@ -1165,10 +1257,21 @@ function py_add_legend(plt::Plot, sp::Subplot, ax)
        for series in series_list(sp)
            if should_add_to_legend(series)
                # add a line/marker and a label
-                push!(handles, if series[:seriestype] == :shape
+                push!(handles, if series[:seriestype] == :shape || series[:fillrange] != nothing
+                    pypatches[:Patch](
+                        edgecolor = py_color(get_linecolor(series), get_linealpha(series)),
+                        facecolor = py_color(get_fillcolor(series), get_fillalpha(series)),
+                        linewidth = py_dpi_scale(plt, clamp(get_linewidth(series), 0, 5)),
+                        linestyle = py_linestyle(series[:seriestype], get_linestyle(series))
+                    )
+                elseif series[:seriestype] in (:path, :straightline)
                    PyPlot.plt[:Line2D]((0,1),(0,0),
-                        color = py_color(cycle(series[:fillcolor],1)),
-                        linewidth = py_dpi_scale(plt, 4)
+                        color = py_color(get_linecolor(series), get_linealpha(series)),
+                        linewidth = py_dpi_scale(plt, clamp(get_linewidth(series), 0, 5)),
+                        linestyle = py_linestyle(:path, get_linestyle(series)),
+                        marker = py_marker(series[:markershape]),
+                        markeredgecolor = py_markerstrokecolor(series),
+                        markerfacecolor = series[:marker_z] == nothing ? py_markercolor(series) : py_color(series[:markercolor][0.5])
                    )
                else
                    series[:serieshandle][1]
@@ -1183,20 +1286,22 @@ function py_add_legend(plt::Plot, sp::Subplot, ax)
                labels,
                loc = get(_pyplot_legend_pos, leg, "best"),
                scatterpoints = 1,
-                fontsize = py_dpi_scale(plt, sp[:legendfont].pointsize)
+                fontsize = py_dpi_scale(plt, sp[:legendfontsize])
                # family = sp[:legendfont].family
                # framealpha = 0.6
            )
            leg[:set_zorder](1000)
+            sp[:legendtitle] != nothing && leg[:set_title](sp[:legendtitle])

            fgcolor = py_color(sp[:foreground_color_legend])
+            lfcolor = py_color(sp[:legendfontcolor])
            for txt in leg[:get_texts]()
-                PyPlot.plt[:setp](txt, color = fgcolor, family = sp[:legendfont].family)
+                PyPlot.plt[:setp](txt, color = lfcolor, family = sp[:legendfontfamily])
            end

            # set some legend properties
            frame = leg[:get_frame]()
-            frame[:set_facecolor](py_color(sp[:background_color_legend]))
+            frame[set_facecolor_sym](py_color(sp[:background_color_legend]))
            frame[:set_edgecolor](fgcolor)
        end
    end
@@ -1220,7 +1325,9 @@ function _update_plot_object(plt::Plot{PyPlotBackend})
        if haskey(sp.attr, :cbar_ax)
            cbw = sp.attr[:cbar_width]
            # this is the bounding box of just the colors of the colorbar (not labels)
-            cb_bbox = BoundingBox(right(sp.bbox)-cbw+1mm, top(sp.bbox)+2mm, _cbar_width-1mm, height(sp.bbox)-4mm)
+            ex = sp[:zaxis][:extrema]
+            has_toplabel = !(1e-7 < max(abs(ex.emax), abs(ex.emin)) < 1e7)
+            cb_bbox = BoundingBox(right(sp.bbox)-cbw+1mm, top(sp.bbox) +  (has_toplabel ? 4mm : 2mm), _cbar_width-1mm, height(sp.bbox) - (has_toplabel ? 6mm : 4mm))
            pcts = bbox_to_pcts(cb_bbox, figw, figh)
            sp.attr[:cbar_ax][:set_position](pcts)
        end
@@ -1,6 +1,10 @@

 # 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([
    :label,
    :legend,
@@ -13,7 +17,7 @@ const _unicodeplots_attr = merge_with_base_supported([
    :guide, :lims,
  ])
 const _unicodeplots_seriestype = [
-    :path, :scatter,
+    :path, :scatter, :straightline,
    # :bar,
    :shape,
    :histogram2d,
@@ -138,7 +142,7 @@ function addUnicodeSeries!(o, d::KW, addlegend::Bool, xlim, ylim)
        return
    end

-    if st == :path
+    if st in (:path, :straightline)
        func = UnicodePlots.lineplot!
    elseif st == :scatter || d[:markershape] != :none
        func = UnicodePlots.scatterplot!
@@ -151,14 +155,20 @@ function addUnicodeSeries!(o, d::KW, addlegend::Bool, xlim, ylim)
    end

    # get the series data and label
-    x, y = [collect(float(d[s])) for s in (:x, :y)]
+    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
    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(filter(xy->isfinite(xy[1])&&isfinite(xy[2]), zip(x,y))))
+    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

@@ -2,7 +2,9 @@
 # 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"))
    """
@@ -10,6 +12,7 @@ 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>
@@ -23,7 +26,7 @@ function open_browser_window(filename::AbstractString)
    @static if is_apple()
        return run(`open $(filename)`)
    end
-    @static if is_linux()
+    @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
        return run(`xdg-open $(filename)`)
    end
    @static if is_windows()
@@ -1,7 +1,7 @@


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

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

-immutable Shape
+struct Shape
    x::Vector{Float64}
    y::Vector{Float64}
    # function Shape(x::AVec, y::AVec)
@@ -22,6 +22,13 @@ immutable 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)

@@ -32,6 +39,7 @@ 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)
    shape.x, shape.y
 end
@@ -156,6 +164,7 @@ 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)
    n = length(x)
@@ -174,7 +183,7 @@ function center(shape::Shape)
    Cx / 6A, Cy / 6A
 end

-function Base.scale!(shape::Shape, x::Real, y::Real = x, c = center(shape))
+function scale!(shape::Shape, x::Real, y::Real = x, c = center(shape))
    sx, sy = coords(shape)
    cx, cy = c
    for i=1:length(sx)
@@ -184,11 +193,12 @@ function Base.scale!(shape::Shape, x::Real, y::Real = x, c = center(shape))
    shape
 end

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

+"translate a Shape in space"
 function translate!(shape::Shape, x::Real, y::Real = x)
    sx, sy = coords(shape)
    for i=1:length(sx)
@@ -227,6 +237,7 @@ function rotate!(shape::Shape, Θ::Real, c = center(shape))
    shape
 end

+"rotate an object in space"
 function rotate(shape::Shape, Θ::Real, c = center(shape))
    shapecopy = deepcopy(shape)
    rotate!(shapecopy, Θ, c)
@@ -235,7 +246,7 @@ end
 # -----------------------------------------------------------------------


-type Font
+mutable struct Font
  family::AbstractString
  pointsize::Int
  halign::Symbol
@@ -294,23 +305,50 @@ end

 function scalefontsize(k::Symbol, factor::Number)
    f = default(k)
-    f.pointsize = round(Int, factor * f.pointsize)
+    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 (:titlefont, :guidefont, :tickfont, :legendfont)
+    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"
-immutable PlotText
+struct 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...))
@@ -322,13 +360,18 @@ Base.length(t::PlotText) = length(t.str)

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

-immutable Stroke
+struct 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
@@ -359,7 +402,7 @@ function stroke(args...; alpha = nothing)
 end


-immutable Brush
+struct Brush
  size  # fillrange, markersize, or any other sizey attribute
  color
  alpha
@@ -392,7 +435,7 @@ end

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

-type SeriesAnnotations
+mutable struct SeriesAnnotations
    strs::AbstractVector  # the labels/names
    font::Font
    baseshape::Nullable
@@ -446,7 +489,7 @@ function series_annotations_shapes!(series::Series, scaletype::Symbol = :pixels)
        msw,msh = anns.scalefactor
        msize = Float64[]
        shapes = Shape[begin
-            str = cycle(anns.strs,i)
+            str = _cycle(anns.strs,i)

            # get the width and height of the string (in mm)
            sw, sh = text_size(str, anns.font.pointsize)
@@ -462,7 +505,7 @@ function series_annotations_shapes!(series::Series, scaletype::Symbol = :pixels)
            # 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)
+            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
@@ -471,7 +514,7 @@ function series_annotations_shapes!(series::Series, scaletype::Symbol = :pixels)
    return
 end

-type EachAnn
+mutable struct EachAnn
    anns
    x
    y
@@ -479,13 +522,13 @@ 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)
+    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)
+    ((_cycle(ea.x,i), _cycle(ea.y,i), str, fnt), i+1)
 end

 annotations(::Void) = []
@@ -493,24 +536,72 @@ 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)"
-immutable ZValues
+struct ZValues
  values::Vector{Float64}
  zrange::Tuple{Float64,Float64}
 end

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

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

-abstract AbstractSurface
+abstract type AbstractSurface end

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

@@ -521,8 +612,8 @@ 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{typeof(surf.surf)}(copy(surf.surf))
-Base.eltype{T}(surf::Surface{T}) = eltype(T)
+Base.copy(surf::Surface) = Surface(copy(surf.surf))
+Base.eltype(surf::Surface{T}) where {T} = eltype(T)

 function expand_extrema!(a::Axis, surf::Surface)
    ex = a[:extrema]
@@ -533,7 +624,7 @@ 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."
-immutable SurfaceFunction <: AbstractSurface
+struct SurfaceFunction <: AbstractSurface
    f::Function
 end

@@ -543,19 +634,19 @@ end
 # # I don't want to clash with ValidatedNumerics, but this would be nice:
 # ..(a::T, b::T) = (a,b)

-immutable Volume{T}
+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{T}(::Type{T}) = (zero(T), one(T))
+default_extents(::Type{T}) where {T} = (zero(T), one(T))

-function Volume{T}(v::Array{T,3},
-                   x_extents = default_extents(T),
-                   y_extents = default_extents(T),
-                   z_extents = default_extents(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

@@ -563,19 +654,25 @@ Base.Array(vol::Volume) = vol.v
 for f in (:length, :size)
  @eval Base.$f(vol::Volume, args...) = $f(vol.v, args...)
 end
-Base.copy{T}(vol::Volume{T}) = Volume{T}(copy(vol.v), vol.x_extents, vol.y_extents, vol.z_extents)
-Base.eltype{T}(vol::Volume{T}) = T
+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)
-immutable Arrow
+struct 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
@@ -625,14 +722,14 @@ end
 # -----------------------------------------------------------------------

 "Represents data values with formatting that should apply to the tick labels."
-immutable Formatted{T}
+struct Formatted{T}
    data::T
    formatter::Function
 end

 # -----------------------------------------------------------------------
-
-type BezierCurve{T <: FixedSizeArrays.Vec}
+"create a BezierCurve for plotting"
+mutable struct BezierCurve{T <: FixedSizeArrays.Vec}
    control_points::Vector{T}
 end

@@ -645,8 +742,8 @@ function (bc::BezierCurve)(t::Real)
    p
 end

-Base.mean(x::Real, y::Real) = 0.5*(x+y)
-Base.mean{N,T<:Real}(ps::FixedSizeArrays.Vec{N,T}...) = sum(ps) / length(ps)
+# 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

@deprecate curve_points coords

@@ -659,7 +756,7 @@ function directed_curve(args...; kw...)
 end

 function extrema_plus_buffer(v, buffmult = 0.2)
-    vmin,vmax = extrema(v)
+    vmin,vmax = ignorenan_extrema(v)
    vdiff = vmax-vmin
    buffer = vdiff * buffmult
    vmin - buffer, vmax + buffer
@@ -558,7 +558,7 @@ function createGadflyAnnotationObject(x, y, txt::PlotText)
                            ))
 end

-function _add_annotations{X,Y,V}(plt::Plot{GadflyBackend}, anns::AVec{Tuple{X,Y,V}})
+function _add_annotations(plt::Plot{GadflyBackend}, anns::AVec{Tuple{X,Y,V}}) where {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!{X,Y}(plt::Plot{GadflyBackend}, xy::Tuple{X,Y}, i::Integer)
+function setxy!(plt::Plot{GadflyBackend}, xy::Tuple{X,Y}, i::Integer) where {X,Y}
    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{P<:Union{GadflyBackend,ImmerseBackend}}(io::IO, func, plt::AbstractPlot{P})
+function doshow(io::IO, func, plt::AbstractPlot{P}) where P<:Union{GadflyBackend,ImmerseBackend}
    gplt = getGadflyContext(plt)
    setGadflyDisplaySize(plt)
    Gadfly.draw(func(io, Compose.default_graphic_width, Compose.default_graphic_height), gplt)
@@ -692,7 +692,7 @@ 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{P<:Union{GadflyBackend,ImmerseBackend}}(io::IO, ::$mime, plt::AbstractPlot{P})
+    @eval function Base.show(io::IO, ::$mime, plt::AbstractPlot{P}) where P<:Union{GadflyBackend,ImmerseBackend}
        func = getGadflyWriteFunc($mime())
        doshow(io, func, plt)
    end
@@ -2,7 +2,7 @@

 # Geometry which displays arbitrary shapes at given (x, y) positions.
 # note: vertices is a list of shapes
-immutable ShapeGeometry <: Gadfly.GeometryElement
+struct 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
@@ -61,7 +61,7 @@ end

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

-function _add_annotations{X,Y,V}(plt::Plot{ImmerseBackend}, anns::AVec{Tuple{X,Y,V}})
+function _add_annotations(plt::Plot{ImmerseBackend}, anns::AVec{Tuple{X,Y,V}}) where {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!{X,Y}(plt::Plot{ImmerseBackend}, xy::Tuple{X,Y}, i::Integer)
+function setxy!(plt::Plot{ImmerseBackend}, xy::Tuple{X,Y}, i::Integer) where {X,Y}
  for mapping in getGadflyMappings(plt, i)
    mapping[:x], mapping[:y] = xy
  end
@@ -218,7 +218,7 @@ function createQwtAnnotation(plt::Plot, x, y, val::AbstractString)
  marker[:attach](plt.o.widget)
 end

-function _add_annotations{X,Y,V}(plt::Plot{QwtBackend}, anns::AVec{Tuple{X,Y,V}})
+function _add_annotations(plt::Plot{QwtBackend}, anns::AVec{Tuple{X,Y,V}}) where {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!{X,Y}(plt::Plot{QwtBackend}, xy::Tuple{X,Y}, i::Integer)
+function setxy!(plt::Plot{QwtBackend}, xy::Tuple{X,Y}, i::Integer) where {X,Y}
  series = plt.o.lines[i]
  series.x, series.y = xy
  plt
@@ -217,7 +217,7 @@ function createWinstonAnnotationObject(plt::Plot{WinstonBackend}, x, y, val::Abs
  Winston.text(x, y, val)
 end

-function _add_annotations{X,Y,V}(plt::Plot{WinstonBackend}, anns::AVec{Tuple{X,Y,V}})
+function _add_annotations(plt::Plot{WinstonBackend}, anns::AVec{Tuple{X,Y,V}}) where {X,Y,V}
  for ann in anns
    createWinstonAnnotationObject(plt, ann...)
  end
@@ -1,5 +1,5 @@

-abstract ColorScheme
+abstract type ColorScheme end

 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{T<:Real}(s::Symbol, vals::AVec{T}; kw...) = ColorGradient(s, vals; kw...)
+colorscheme(s::Symbol, vals::AVec{T}; kw...) where {T<:Real} = ColorGradient(s, vals; kw...)
 colorscheme(cs::AVec, vs::AVec; kw...) = ColorGradient(cs, vs; kw...)
-colorscheme{T<:Colorant}(cs::AVec{T}; kw...) = ColorGradient(cs; kw...)
+colorscheme(cs::AVec{T}; kw...) where {T<:Colorant} = 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{C<:Colorant}(name::Symbol, colors::AVec{C})
+function register_gradient_colors(name::Symbol, colors::AVec{C}) where C<:Colorant
    _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."
-immutable ColorGradient <: ColorScheme
+struct ColorGradient <: ColorScheme
  colors::Vector
  values::Vector

-  function ColorGradient{S<:Real}(cs::AVec, vals::AVec{S} = linspace(0, 1, length(cs)); alpha = nothing)
+  function ColorGradient(cs::AVec, vals::AVec{S} = linspace(0, 1, length(cs)); alpha = nothing) where S<:Real
    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{T<:Real}(s::Symbol, vals::AVec{T} = 0:0; kw...)
+function ColorGradient(s::Symbol, vals::AVec{T} = 0:0; kw...) where T<:Real
  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"
-immutable ColorFunction <: ColorScheme
+struct 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"
-immutable ColorZFunction <: ColorScheme
+struct 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"
-immutable ColorVector <: ColorScheme
+struct 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"
-immutable ColorWrapper <: ColorScheme
+struct 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{C<:Colorant}(palette::Vector{C},
-            bgcolor::Union{Colorant,ColorWrapper}, numcolors::Integer)
+function get_color_palette(palette::Vector{C},
+bgcolor::Union{Colorant,ColorWrapper}, numcolors::Integer) where C<:Colorant
  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

-typealias FuncOrFuncs @compat(Union{Function, AVec{Function}})
+const FuncOrFuncs = 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::@compat(Void), d::KW) = Any[nothing], nothing
+convertToAnyVector(v::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{T<:Number}(v::AVec{T}, d::KW) = Any[v], nothing
+convertToAnyVector(v::AVec{T}, d::KW) where {T<:Number} = Any[v], nothing

 # string vector
-convertToAnyVector{T<:@compat(AbstractString)}(v::AVec{T}, d::KW) = Any[v], nothing
+convertToAnyVector(v::AVec{T}, d::KW) where {T<:AbstractString} = 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{D<:Union{Date,DateTime}}(dts::AVec{D}, d::KW) = Any[dts], nothing
+convertToAnyVector(dts::AVec{D}, d::KW) where {D<:Union{Date,DateTime}} = 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)
 """
-type PlotExample
+mutable struct PlotExample
  header::AbstractString
  desc::AbstractString
  exprs::Vector{Expr}
@@ -18,7 +18,14 @@ 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()
@@ -37,23 +44,35 @@ 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, 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)]
 ),

@@ -66,14 +85,21 @@ PlotExample("Global",
 PlotExample("Images",
    "Plot an image.  y-axis is set to flipped",
    [:(begin
-        import Images
-        img = Images.load(Pkg.dir("PlotReferenceImages","Plots","pyplot","0.7.0","ref1.png"))
+        import FileIO
+        img = FileIO.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)))
@@ -115,20 +141,23 @@ PlotExample("Line types",
 PlotExample("Line styles",
    "",
    [:(begin
-        styles = filter(s -> s in Plots.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)]
+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)]
 ),

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

@@ -173,48 +208,68 @@ 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(x', length(y), 1)
+        X = repmat(reshape(x,1,:), length(y), 1)
        Y = repmat(y, 1, length(x))
        Z = map(f, X, Y)
        p1 = contour(x, y, f, fill=true)
@@ -250,7 +305,7 @@ PlotExample("DataFrames",
    [:(begin
        import RDatasets
        iris = RDatasets.dataset("datasets", "iris")
-        scatter(iris, :SepalLength, :SepalWidth, group=:Species,
+        @df iris scatter(:SepalLength, :SepalWidth, group=:Species,
            title = "My awesome plot", xlabel = "Length", ylabel = "Width",
            marker = (0.5, [:cross :hex :star7], 12), bg=RGB(.2,.2,.2))
    end)]
@@ -260,7 +315,8 @@ 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])
+        plot(rand(100), layout=@layout([a b;c]), group=group,
+            linetype=[:bar :scatter :steppre], linecolor = :match)
    end)]
 ),

@@ -268,7 +324,7 @@ 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)]
 ),
@@ -278,7 +334,7 @@ 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)*(1:10)')
+        z = float((1:4)*reshape(1:10,1,:))
        heatmap(xs, ys, z, aspect_ratio=1)
    end)]
 ),
@@ -286,9 +342,10 @@ 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=50px, xrotation=60)
+                        bottom_margin=10px, xrotation=60)
    end)]
 ),

@@ -297,10 +354,83 @@ PlotExample("Boxplot and Violin series recipes",
    [:(begin
        import RDatasets
        singers = RDatasets.dataset("lattice", "singer")
-        violin(singers, :VoicePart, :Height, line = 0, fill = (0.2, :blue))
-        boxplot!(singers, :VoicePart, :Height, line = (2,:black), fill = (0.3, :orange))
+        @df singers violin(:VoicePart, :Height, line = 0, fill = (0.2, :blue))
+        @df singers boxplot!(: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)]
+),

 ]

@@ -321,6 +451,13 @@ 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
@@ -1,23 +1,19 @@

 # 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.:.*(m::Measure, n::Number) = m * n
-Base.:.*(n::Number, m::Measure) = m * n
+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)
 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{F<:AbstractFloat}(::Type{F}, l::AbsoluteLength) = convert(F, l.value)
+Base.convert(::Type{F}, l::AbsoluteLength) where {F<:AbstractFloat} = 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))
@@ -99,7 +95,7 @@ end
 # -----------------------------------------------------------

 # points combined by x/y, pct, and length
-type MixedMeasures
+mutable struct MixedMeasures
    xy::Float64
    pct::Float64
    len::AbsoluteLength
@@ -133,7 +129,12 @@ 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
@@ -215,7 +216,7 @@ bottompad(layout::AbstractLayout) = 0mm
 # RootLayout

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

 Base.parent(::RootLayout) = nothing
 parent_bbox(::RootLayout) = defaultbox
@@ -225,7 +226,7 @@ bbox(::RootLayout) = defaultbox
 # EmptyLayout

 # contains blank space
-type EmptyLayout <: AbstractLayout
+mutable struct EmptyLayout <: AbstractLayout
    parent::AbstractLayout
    bbox::BoundingBox
    attr::KW  # store label, width, and height for initialization
@@ -243,7 +244,7 @@ _update_min_padding!(layout::EmptyLayout) = nothing
 # GridLayout

 # nested, gridded layout with optional size percentages
-type GridLayout <: AbstractLayout
+mutable struct GridLayout <: AbstractLayout
    parent::AbstractLayout
    minpad::Tuple # leftpad, toppad, rightpad, bottompad
    bbox::BoundingBox
@@ -253,6 +254,13 @@ type 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...;
@@ -473,12 +481,12 @@ function layout_args(n::Integer)
    GridLayout(nr, nc), n
 end

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

-function layout_args{I<:Integer}(sztup::NTuple{3,I})
+function layout_args(sztup::NTuple{3,I}) where I<:Integer
    n, nr, nc = sztup
    nr, nc = compute_gridsize(n, nr, nc)
    GridLayout(nr, nc), n
@@ -704,7 +712,7 @@ function link_axes!(axes::Axis...)
    a1 = axes[1]
    for i=2:length(axes)
        a2 = axes[i]
-        expand_extrema!(a1, extrema(a2))
+        expand_extrema!(a1, ignorenan_extrema(a2))
        for k in (:extrema, :discrete_values, :continuous_values, :discrete_map)
            a2[k] = a1[k]
        end
@@ -39,7 +39,7 @@ ps(fn::AbstractString) = ps(current(), fn)
 function eps(plt::Plot, fn::AbstractString)
  fn = addExtension(fn, "eps")
  io = open(fn, "w")
-  writemime(io, MIME("image/eps"), plt)
+  show(io, MIME("image/eps"), plt)
  close(io)
 end
 eps(fn::AbstractString) = eps(current(), fn)
@@ -97,6 +97,13 @@ 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
@@ -119,7 +126,11 @@ 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
@@ -160,7 +171,9 @@ const _mimeformats = Dict(
 const _best_html_output_type = KW(
    :pyplot => :png,
    :unicodeplots => :txt,
-    :glvisualize => :png
+    :glvisualize => :png,
+    :plotlyjs => :html,
+    :plotly => :html
 )

 # a backup for html... passes to svg or png depending on the html_output_format arg
@@ -182,7 +195,7 @@ function Base.show(io::IO, ::MIME"text/html", plt::Plot)
    end
 end

-function _show{B}(io::IO, m, plt::Plot{B})
+function _show(io::IO, m, plt::Plot{B}) where B
    # Base.show_backtrace(STDOUT, backtrace())
    warn("_show is not defined for this backend. m=", string(m))
 end
@@ -192,12 +205,13 @@ end

 # for writing to io streams... first prepare, then callback
 for mime in keys(_mimeformats)
-    @eval function Base.show{B}(io::IO, m::MIME{Symbol($mime)}, plt::Plot{B})
+    @eval function Base.show(io::IO, m::MIME{Symbol($mime)}, plt::Plot{B}) where B
        prepare_output(plt)
        _show(io, m, plt)
    end
 end

+"Close all open gui windows of the current backend"
 closeall() = closeall(backend())


@@ -220,14 +234,10 @@ if is_installed("FileIO")
        FileIO.save(pngfn, s)

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

-
-
-
-
 # function html_output_format(fmt)
 #     if fmt == "png"
 #         @eval function Base.show(io::IO, ::MIME"text/html", plt::Plot)
@@ -248,78 +258,106 @@ end
 # IJulia
 # ---------------------------------------------------------

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

-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
-            function IJulia.display_dict(plt::Plot)
-                global _ijulia_output
-                Dict{String, String}(_ijulia_output[1] => sprint(show, _ijulia_output[1], plt))
-            end
+        """
+        Add extra jupyter mimetypes to display_dict based on the plot backed.

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

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

-function setup_atom()
-    if isatom()
-        @eval import Atom, Media
+    if Juno.isactive()
        Media.media(Plot, Media.Plot)

-        # default text/plain so it doesn't complain
-        function Base.show{B}(io::IO, ::MIME"text/plain", plt::Plot{B})
-            print(io, "Plot{$B}()")
-        end

-        function Media.render(e::Atom.Editor, plt::Plot)
-            Media.render(e, nothing)
+        _show(io::IO, m::MIME"text/plain", plt::Plot{B}) where {B} = print(io, "Plot{$B}()")
+
+        function Juno.render(e::Juno.Editor, plt::Plot)
+            Juno.render(e, nothing)
        end

        if get(ENV, "PLOTS_USE_ATOM_PLOTPANE", true) in (true, 1, "1", "true", "yes")
-            # this is like "display"... sends an html div with the plot to the PlotPane
-            function Media.render(pane::Atom.PlotPane, plt::Plot)
+            function Juno.render(pane::Juno.PlotPane, plt::Plot)
                # temporarily overwrite size to be Atom.plotsize
                sz = plt[:size]
-                plt[:size] = Juno.plotsize()
-                Media.render(pane, Atom.div(".fill", Atom.HTML(stringmime(MIME("text/html"), plt))))
+                jsize = Juno.plotsize()
+                jsize[1] == 0 && (jsize[1] = 400)
+                jsize[2] == 0 && (jsize[2] = 500)
+
+                plt[:size] = jsize
+                Juno.render(pane, HTML(stringmime(MIME("text/html"), plt)))
                plt[:size] = sz
            end
            # special handling for PlotlyJS
-            function Media.render(pane::Atom.PlotPane, plt::Plot{PlotlyJSBackend})
+            function Juno.render(pane::Juno.PlotPane, plt::Plot{PlotlyJSBackend})
                display(Plots.PlotsDisplay(), plt)
            end
        else
-            #
-            function Media.render(pane::Atom.PlotPane, plt::Plot)
+            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."
-                Media.render(pane, Atom.div(Atom.HTML(s)))
+                Juno.render(pane, HTML(s))
            end
        end

        # special handling for plotly... use PlotsDisplay
-        function Media.render(pane::Atom.PlotPane, plt::Plot{PlotlyBackend})
+        function Juno.render(pane::Juno.PlotPane, plt::Plot{PlotlyBackend})
            display(Plots.PlotsDisplay(), plt)
-            s = "PlotPane turned off.  The plotly and plotlyjs backends cannot render in the PlotPane due to javascript issues."
-            Media.render(pane, Atom.div(Atom.HTML(s)))
+            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
    end
 end
@@ -60,29 +60,26 @@ 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 queue of series that still need to be processed.
+    # we are keeping a stack of series that still need to be processed.
    # each pass through the loop, we pop one off and apply the recipe.
    # the recipe will return a list a Series objects... the ones that are
-    # finished (no more args) get added to the kw_list, and the rest go into the queue
-    # for processing.
+    # finished (no more args) get added to the kw_list, the ones that are not
+    # are placed on top of the stack and are then processed further.
    kw_list = KW[]
    while !isempty(still_to_process)
-        # grab the first in line to be processed and pass it through apply_recipe
-        # to generate a list of RecipeData objects (data + attributes)
+        # grab the first in line to be processed and either add it to the kw_list or
+        # pass it through apply_recipe to generate a list of RecipeData objects (data + attributes)
+        # for further processing.
        next_series = shift!(still_to_process)
-        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
+        # 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)
        end
    end

@@ -153,7 +150,7 @@ 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 = [minimum(x), maximum(x)]
+        sx = [ignorenan_minimum(x), ignorenan_maximum(x)]
        sy = β * sx + α
        push!(kw_list, merge(copy(kw), KW(
            :seriestype => :path,
@@ -213,7 +210,7 @@ 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 = _create_backend_figure(plt)
+        plt.o = Base.invokelatest(_create_backend_figure, plt)

        # create the layout and subplots from the inputs
        plt.layout, plt.subplots, plt.spmap = build_layout(plt.attr)
@@ -262,12 +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 kw
+        for (k,v) in collect(kw)
            if haskey(_subplot_defaults, k) || haskey(_axis_defaults_byletter, k)
                attr[k] = pop!(kw, k)
            end
@@ -277,6 +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
@@ -297,7 +301,7 @@ end

 # getting ready to add the series... last update to subplot from anything
 # that might have been added during series recipes
-function _prepare_subplot{T}(plt::Plot{T}, d::KW)
+function _prepare_subplot(plt::Plot{T}, d::KW) where T
    st::Symbol = d[:seriestype]
    sp::Subplot{T} = d[:subplot]
    sp_idx = get_subplot_index(plt, sp)
@@ -323,7 +327,7 @@ end

 function _override_seriestype_check(d::KW, st::Symbol)
    # do we want to override the series type?
-    if !is3d(st)
+    if !is3d(st) && !(st in (:contour,:contour3d))
        z = d[:z]
        if !isa(z, Void) && (size(d[:x]) == size(d[:y]) == size(z))
            st = (st == :scatter ? :scatter3d : :path3d)
@@ -353,13 +357,17 @@ end
 function _expand_subplot_extrema(sp::Subplot, d::KW, st::Symbol)
    # adjust extrema and discrete info
    if st == :image
-        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))
+        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))
        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)
@@ -390,6 +398,7 @@ function _process_seriesrecipe(plt::Plot, d::KW)
        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)

    else
@@ -1,11 +1,15 @@

-type CurrentPlot
+mutable struct 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")
@@ -29,7 +33,7 @@ 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
@@ -38,7 +42,9 @@ The main plot command.  Use `plot` to create a new plot object, and `plot!` to a
 ```

 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.  See the documentation for more info.
+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")`.
 """

 # this creates a new plot with args/kw and sets it to be the current plot
@@ -60,7 +66,7 @@ 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
@@ -80,7 +86,7 @@ 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, p.attr)
+        _update_plot_args(plt, copy(p.attr))
        plt.n += p.n
    end
    _update_plot_args(plt, d)
@@ -96,8 +102,13 @@ function plot(plt1::Plot, plts_tail::Plot...; kw...)
        end
    end

-    # create the layout and initialize the subplots
+    # create the layout
    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)
@@ -121,9 +132,6 @@ 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)))
@@ -14,6 +14,12 @@ function lookup_aliases(attrtype, 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
@@ -6,9 +6,12 @@
 # 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

-typealias FuncOrFuncs{F} Union{F, Vector{F}, Matrix{F}}
+const FuncOrFuncs{F} = Union{F, Vector{F}, Matrix{F}}

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

 # missing
 convertToAnyVector(v::Void, d::KW) = Any[nothing], nothing
@@ -17,10 +20,10 @@ convertToAnyVector(v::Void, d::KW) = Any[nothing], nothing
 convertToAnyVector(n::Integer, d::KW) = Any[zeros(0) for i in 1:n], nothing

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

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

 function convertToAnyVector(v::AMat, d::KW)
    if all3D(d)
@@ -43,7 +46,7 @@ convertToAnyVector(v::Volume, d::KW) = Any[v], nothing
 # convertToAnyVector(v::AVec{OHLC}, d::KW) = Any[v], nothing

 # # dates
-# convertToAnyVector{D<:Union{Date,DateTime}}(dts::AVec{D}, d::KW) = 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)
@@ -96,8 +99,8 @@ nobigs(v) = v
 end

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

 # --------------------------------------------------------------------
@@ -106,7 +109,7 @@ 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
-immutable SliceIt end
+struct SliceIt end

 # the catch-all recipes
@recipe function f(::Type{SliceIt}, x, y, z)
@@ -125,18 +128,26 @@ immutable SliceIt end
        z = z.data
    end

-    xs, _ = convertToAnyVector(x, d)
-    ys, _ = convertToAnyVector(y, d)
-    zs, _ = convertToAnyVector(z, d)
+    xs, _ = convertToAnyVector(x, plotattributes)
+    ys, _ = convertToAnyVector(y, plotattributes)
+    zs, _ = convertToAnyVector(z, plotattributes)

-    fr = pop!(d, :fillrange, nothing)
+    fr = pop!(plotattributes, :fillrange, nothing)
    fillranges, _ = if typeof(fr) <: Number
        ([fr],nothing)
    else
-        convertToAnyVector(fr, d)
+        convertToAnyVector(fr, plotattributes)
    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)
@@ -145,7 +156,7 @@ immutable SliceIt end
    if mx > 0 && my > 0 && mz > 0
        for i in 1:max(mx, my, mz)
            # add a new series
-            di = copy(d)
+            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)

@@ -153,6 +164,10 @@ immutable SliceIt end
            fr = fillranges[mod1(i,mf)]
            di[:fillrange] = isa(fr, Function) ? map(fr, di[:x]) : fr

+            # handle ribbons
+            rib = ribbons[mod1(i,mr)]
+            di[:ribbon] = isa(rib, Function) ? map(rib, di[:x]) : rib
+
            push!(series_list, RecipeData(di, ()))
        end
    end
@@ -160,10 +175,10 @@ immutable SliceIt end
 end

 # this is the default "type recipe"... just pass the object through
-@recipe f{T<:Any}(::Type{T}, v::T) = v
+@recipe f(::Type{T}, v::T) where {T<:Any} = v

 # this should catch unhandled "series recipes" and error with a nice message
-@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.")
+@recipe f(::Type{V}, x, y, z) where {V<:Val} = error("The backend must not support the series type $V, and there isn't a series recipe defined.")

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

@@ -171,6 +186,7 @@ _apply_type_recipe(d, v) = RecipesBase.apply_recipe(d, typeof(v), v)[1].args[1]
 # 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
@@ -197,16 +213,16 @@ end
 # end

 # don't do anything for ints or floats
-_apply_type_recipe{T<:Union{Integer,AbstractFloat}}(d, v::AbstractArray{T}) = v
+_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(d, x)
+    newx = _apply_type_recipe(plotattributes, x)
    x === newx || (did_replace = true)
-    newy = _apply_type_recipe(d, y)
+    newy = _apply_type_recipe(plotattributes, y)
    y === newy || (did_replace = true)
-    newz = _apply_type_recipe(d, z)
+    newz = _apply_type_recipe(plotattributes, z)
    z === newz || (did_replace = true)
    if did_replace
        newx, newy, newz
@@ -216,9 +232,9 @@ _apply_type_recipe{T<:Union{Integer,AbstractFloat}}(d, v::AbstractArray{T}) = v
 end
@recipe function f(x, y)
    did_replace = false
-    newx = _apply_type_recipe(d, x)
+    newx = _apply_type_recipe(plotattributes, x)
    x === newx || (did_replace = true)
-    newy = _apply_type_recipe(d, y)
+    newy = _apply_type_recipe(plotattributes, y)
    y === newy || (did_replace = true)
    if did_replace
        newx, newy
@@ -227,7 +243,7 @@ end
    end
 end
@recipe function f(y)
-    newy = _apply_type_recipe(d, y)
+    newy = _apply_type_recipe(plotattributes, y)
    if y !== newy
        newy
    else
@@ -240,7 +256,7 @@ end
@recipe function f(v1, v2, v3, v4, vrest...)
    did_replace = false
    newargs = map(v -> begin
-        newv = _apply_type_recipe(d, v)
+        newv = _apply_type_recipe(plotattributes, v)
        if newv !== v
            did_replace = true
        end
@@ -267,13 +283,13 @@ function wrap_surfaces(d::KW)
    end
 end

-@recipe f(n::Integer) = is3d(get(d,:seriestype,:path)) ? (SliceIt, n, n, n) : (SliceIt, n, n, nothing)
+@recipe f(n::Integer) = is3d(get(plotattributes,:seriestype,:path)) ? (SliceIt, n, n, n) : (SliceIt, n, n, nothing)

 # return a surface if this is a 3d plot, otherwise let it be sliced up
-@recipe function f{T<:Union{Integer,AbstractFloat}}(mat::AMat{T})
-    if all3D(d)
+@recipe function f(mat::AMat{T}) where T<:Union{Integer,AbstractFloat}
+    if all3D(plotattributes)
        n,m = size(mat)
-        wrap_surfaces(d)
+        wrap_surfaces(plotattributes)
        SliceIt, 1:m, 1:n, Surface(mat)
    else
        SliceIt, nothing, mat, nothing
@@ -281,11 +297,11 @@ end
 end

 # if a matrix is wrapped by Formatted, do similar logic, but wrap data with Surface
-@recipe function f{T<:AbstractMatrix}(fmt::Formatted{T})
-    if all3D(d)
+@recipe function f(fmt::Formatted{T}) where T<:AbstractMatrix
+    if all3D(plotattributes)
        mat = fmt.data
        n,m = size(mat)
-        wrap_surfaces(d)
+        wrap_surfaces(plotattributes)
        SliceIt, 1:m, 1:n, Formatted(Surface(mat), fmt.formatter)
    else
        SliceIt, nothing, fmt, nothing
@@ -293,7 +309,7 @@ end
 end

 # assume this is a Volume, so construct one
-@recipe function f{T<:Number}(vol::AbstractArray{T,3}, args...)
+@recipe function f(vol::AbstractArray{T,3}, args...) where T<:Number
    seriestype := :volume
    SliceIt, nothing, Volume(vol, args...), nothing
 end
@@ -301,14 +317,16 @@ end

 # # images - grays

-@recipe function f{T<:Gray}(mat::AMat{T})
+@recipe function f(mat::AMat{T}) where T<:Gray
+    n, m = size(mat)
    if is_seriestype_supported(:image)
        seriestype := :image
-        n, m = size(mat)
+        yflip --> true
        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
@@ -316,15 +334,18 @@ end

 # # images - colors

-@recipe function f{T<:Colorant}(mat::AMat{T})
+@recipe function f(mat::AMat{T}) where T<:Colorant
+	n, m = size(mat)
+
    if is_seriestype_supported(:image)
        seriestype := :image
-        n, m = size(mat)
+        yflip --> true
        SliceIt, 1:m, 1:n, Surface(mat)
    else
        seriestype := :heatmap
        yflip --> true
-        z, d[:fillcolor] = replace_image_with_heatmap(mat)
+        cbar --> false
+        z, plotattributes[:fillcolor] = replace_image_with_heatmap(mat)
        SliceIt, 1:m, 1:n, Surface(z)
    end
 end
@@ -353,16 +374,36 @@ end

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

-@recipe function f{F<:Function}(f::FuncOrFuncs{F})
-    plt = d[:plot_object]
+@recipe function f(f::FuncOrFuncs{F}) where F<:Function
+    plt = plotattributes[:plot_object]
    xmin, xmax = try
        axis_limits(plt[1][:xaxis])
    catch
-        -5, 5
+        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
@@ -372,7 +413,7 @@ 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<:Function}(f::FuncOrFuncs{F}, x)
+@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
    x, f
@@ -403,7 +444,7 @@ end
    #         seriestype := :path3d
    #     end
    # end
-    wrap_surfaces(d)
+    wrap_surfaces(plotattributes)
    SliceIt, x, y, z
 end

@@ -413,7 +454,7 @@ end
@recipe function f(x::AVec, y::AVec, zf::Function)
    # x = X <: Number ? sort(x) : x
    # y = Y <: Number ? sort(y) : y
-    wrap_surfaces(d)
+    wrap_surfaces(plotattributes)
    SliceIt, x, y, Surface(zf, x, y)  # TODO: replace with SurfaceFunction when supported
 end

@@ -421,13 +462,45 @@ end
 # # surface-like... matrix grid

@recipe function f(x::AVec, y::AVec, z::AMat)
-    if !like_surface(get(d, :seriestype, :none))
-        d[:seriestype] = :contour
+    if !like_surface(get(plotattributes, :seriestype, :none))
+        plotattributes[:seriestype] = :contour
    end
-    wrap_surfaces(d)
+    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
+
 #
 #
 # # --------------------------------------------------------------------
@@ -440,19 +513,19 @@ end
    xs = adapted_grid(f, (xmin, xmax))
    xs, f
 end
-@recipe function f{F<:Function}(fs::AbstractArray{F}, xmin::Number, xmax::Number)
+@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{F<:Function,G<:Function}(fx::FuncOrFuncs{F}, fy::FuncOrFuncs{G}, u::AVec)  = mapFuncOrFuncs(fx, u), mapFuncOrFuncs(fy, u)
-@recipe f{F<:Function,G<:Function}(fx::FuncOrFuncs{F}, fy::FuncOrFuncs{G}, umin::Number, umax::Number, n = 200) = fx, fy, linspace(umin, umax, n)
+@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)

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

@@ -467,28 +540,28 @@ end

 #
 # # (x,y) tuples
-@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]]
+@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]]

 #
 # # (x,y,z) tuples
-@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]]
+@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]]

 # these might be points+velocity, or OHLC or something else
-@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]]
+@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]]


 #
 # # 2D FixedSizeArrays
-@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]]
+@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]]

 #
 # # 3D FixedSizeArrays
-@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]]
+@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]]

 #
 # # --------------------------------------------------------------------
@@ -508,13 +581,69 @@ 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...)
-    for (i,glab) in enumerate(groupby.groupLabels)
-        @series begin
-            label     --> string(glab)
-            idxfilter --> groupby.groupIds[i]
-            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)
+                        :($key) := split_kw(key, val, groupby.groupIds[i])
+                    end
+                end
+                args
+            end
        end
+    else
+        g = args[1]
+        if length(g.args) == 1
+            x = zeros(Int, lengthGroup)
+            for indexes in groupby.groupIds
+                x[indexes] = 1:length(indexes)
+            end
+            last_args = g.args
+        else
+            x = g.args[1]
+            last_args = g.args[2:end]
+        end
+        x_u = unique(x)
+        x_ind = Dict(zip(x_u, 1:length(x_u)))
+        for (key,val) in plotattributes
+            if splittable_kw(key, val, lengthGroup)
+                :($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
@@ -1,6 +1,6 @@


-function Subplot{T<:AbstractBackend}(::T; parent = RootLayout())
+function Subplot(::T; parent = RootLayout()) where T<:AbstractBackend
    Subplot{T}(
        parent,
        Series[],
@@ -13,6 +13,11 @@ function Subplot{T<:AbstractBackend}(::T; parent = RootLayout())
    )
 end

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

@@ -32,14 +37,14 @@ 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(_ -> _ === sp, plt.subplots)
+get_subplot_index(plt::Plot, sp::Subplot) = findfirst(x -> x === sp, plt.subplots)

 series_list(sp::Subplot) = sp.series_list # 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,:histogram2d,:hline,:vline,
+            :hexbin,:bins2d,:histogram2d,:hline,:vline,
            :contour,:contourf,:contour3d,:surface,:wireframe,
            :heatmap, :pie, :image
        ))
@@ -1,40 +1,168 @@
+"""
+    theme(s::Symbol)

+Specify the colour theme for plots.
+"""
 function theme(s::Symbol; kw...)
-    # reset?
-    if s == :none || s == :default
-        PlotUtils._default_gradient[] = :inferno
-        default(;
-            bg        = :white,
-            bglegend  = :match,
-            bginside  = :match,
-            bgoutside = :match,
-            fg        = :auto,
-            fglegend  = :match,
-            fggrid    = :match,
-            fgaxis    = :match,
-            fgtext    = :match,
-            fgborder  = :match,
-            fgguide   = :match,
-            palette   = :auto
+    defaults = _get_defaults(s)
+    _theme(s, defaults; kw...)
+end
+
+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,
        )
-        return
+        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

-    # update the default gradient and other defaults
-    thm = PlotThemes._themes[s]
-    if thm.gradient != nothing
-        PlotUtils._default_gradient[] = PlotThemes.gradient_name(s)
+    # 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
-    default(;
-        bg       = thm.bg_secondary,
-        bginside = thm.bg_primary,
-        fg       = thm.lines,
-        fgtext   = thm.text,
-        fgguide  = thm.text,
-        fglegend = thm.text,
-        palette  = thm.palette,
-        kw...
-    )
+
+    # 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,
+)
+_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
+
+end
@@ -2,28 +2,24 @@
 # 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

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

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

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

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


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

-type Series
+mutable struct Series
    d::KW
 end

@@ -33,7 +29,7 @@ attr!(series::Series, v, k::Symbol) = (series.d[k] = v)
 # -----------------------------------------------------------

 # a single subplot
-type Subplot{T<:AbstractBackend} <: AbstractLayout
+mutable struct Subplot{T<:AbstractBackend} <: AbstractLayout
    parent::AbstractLayout
    series_list::Vector{Series}  # arguments for each series
    minpad::Tuple # leftpad, toppad, rightpad, bottompad
@@ -49,12 +45,12 @@ 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
-type Axis
+mutable struct Axis
    sps::Vector{Subplot}
    d::KW
 end

-type Extrema
+mutable struct Extrema
    emin::Float64
    emax::Float64
 end
@@ -62,12 +58,12 @@ Extrema() = Extrema(Inf, -Inf)

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

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

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


-type Plot{T<:AbstractBackend} <: AbstractPlot{T}
+mutable struct Plot{T<:AbstractBackend} <: AbstractPlot{T}
    backend::T                   # the backend type
    n::Int                       # number of series
    attr::KW                     # arguments for the whole plot
@@ -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 = extrema(data)
+  lo, hi = ignorenan_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 = [minimum(x), maximum(x)]
+  regx = [ignorenan_minimum(x), ignorenan_maximum(x)]
  regy = β * regx + α
  regx, regy
 end

-function replace_image_with_heatmap{T<:Colorant}(z::Array{T})
+function replace_image_with_heatmap(z::Array{T}) where T<:Colorant
    @show T, size(z)
    n, m = size(z)
    # idx = 0
@@ -137,15 +137,15 @@ function imageHack(d::KW)
 end
 # ---------------------------------------------------------------

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

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

 Segments() = Segments(Float64)
-Segments{T}(::Type{T}) = Segments(T[])
+Segments(::Type{T}) where {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!{T}(segments::Segments{T}, vs...)
+function Base.push!(segments::Segments{T}, vs...) where T
    if !isempty(segments.pts)
        push!(segments.pts, to_nan(T))
    end
@@ -167,7 +167,7 @@ function Base.push!{T}(segments::Segments{T}, vs...)
    segments
 end

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

-type SegmentsIterator
+mutable struct 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 -> !isfinite(cycle(a,i)), args)
+anynan(i::Int, args::Tuple) = any(a -> try isnan(_cycle(a,i)) catch MethodError false end, 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 anynan(1, itr.args)
+    if !any(isempty,itr.args) && anynan(1, itr.args)
        _, nextidx = next(itr, 1)
    end
    nextidx
@@ -231,8 +250,8 @@ end
 # Find minimal type that can contain NaN and x
 # To allow use of NaN separated segments with categorical x axis

-float_extended_type{T}(x::AbstractArray{T}) = Union{T,Float64}
-float_extended_type{T<:Real}(x::AbstractArray{T}) = Float64
+float_extended_type(x::AbstractArray{T}) where {T} = Union{T,Float64}
+float_extended_type(x::AbstractArray{T}) where {T<:Real} = Float64

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

@@ -243,56 +262,56 @@ notimpl() = error("This has not been implemented yet")
 isnothing(x::Void) = true
 isnothing(x) = false

-cycle(wrapper::InputWrapper, idx::Int) = wrapper.obj
-cycle(wrapper::InputWrapper, idx::AVec{Int}) = wrapper.obj
+_cycle(wrapper::InputWrapper, idx::Int) = wrapper.obj
+_cycle(wrapper::InputWrapper, idx::AVec{Int}) = wrapper.obj

-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
+_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

-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(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)
+_cycle(grad::ColorGradient, idx::Int) = _cycle(grad.colors, idx)
+_cycle(grad::ColorGradient, indices::AVec{Int}) = _cycle(grad.colors, indices)

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

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

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

-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{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{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(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}(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(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}(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]]
+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]]

 # 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 = extrema(x)
-    lims[1] = min(lims[1], e1)
-    lims[2] = max(lims[2], e2)
+    e1, e2 = ignorenan_extrema(x)
+    lims[1] = NaNMath.min(lims[1], e1)
+    lims[2] = NaNMath.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...)
@@ -324,7 +343,7 @@ function replaceAliases!(d::KW, aliases::Dict{Symbol,Symbol})
  end
 end

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

 Base.first(c::Colorant) = c
 Base.first(x::Symbol) = x
@@ -332,32 +351,56 @@ Base.first(x::Symbol) = x

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

+
+const _scale_base = Dict{Symbol, Real}(
+    :log10 => 10,
+    :log2 => 2,
+    :ln => e,
+)
+
 "create an (n+1) list of the outsides of heatmap rectangles"
-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)
+function heatmap_edges(v::AVec, scale::Symbol = :identity)
+  vmin, vmax = ignorenan_extrema(v)
+  extra_min = extra_max = 0.5 * (vmax-vmin) / (length(v)-1)
+  if scale in _logScales
+      vmin > 0 || error("The axis values must be positive for a $scale scale")
+      while vmin - extra_min <= 0
+          extra_min /= _scale_base[scale]
+      end
+  end
+  vcat(vmin-extra_min, 0.5 * (v[1:end-1] + v[2:end]), vmax+extra_max)
 end


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

 function convert_to_polar(x, y, r_extrema = calc_r_extrema(x, y))
    rmin, rmax = r_extrema
-    phi, r = x, y
-    r = 0.5 * (r - rmin) / (rmax - rmin)
-    n = max(length(phi), length(r))
-    x = zeros(n)
-    y = zeros(n)
+    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)
    for i in 1:n
-        x[i] = cycle(r,i) * cos(cycle(phi,i))
-        y[i] = cycle(r,i) * sin(cycle(phi,i))
+        x[i] = _cycle(theta, i)
+        y[i] = _cycle(r, 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

@@ -374,7 +417,7 @@ 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
@@ -396,20 +439,20 @@ isvertical(d::KW) = get(d, :orientation, :vertical) in (:vertical, :v, :vert)
 isvertical(series::Series) = isvertical(series.d)


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

-limsType{T<:Real,S<:Real}(lims::Tuple{T,S})    = :limits
+limsType(lims::Tuple{T,S}) where {T<:Real,S<:Real}    = :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{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.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.merge(a::AbstractVector, b::AbstractVector) = sort(unique(vcat(a,b)))

@@ -469,7 +512,7 @@ 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.cycle(rib)))
+    for (i, (yi, ri)) in enumerate(zip(y, Base.Iterators.cycle(rib)))
        frs[i] = yi + ri
    end
    frs
@@ -480,16 +523,44 @@ 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])
@@ -497,6 +568,136 @@ 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)
@@ -523,7 +724,7 @@ 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(:gadfly, size=(400,400), type=:histogram) do
+with(:gr, size=(400,400), type=:histogram) do
  plot(rand(10))
  plot(rand(10))
 end
@@ -608,7 +809,7 @@ end
 # ---------------------------------------------------------------
 # ---------------------------------------------------------------

-type DebugMode
+mutable struct DebugMode
  on::Bool
 end
 const _debugMode = DebugMode(false)
@@ -645,11 +846,11 @@ 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) + 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)
+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)


 # -------------------------------------------------------
@@ -667,14 +868,14 @@ function getxyz(plt::Plot, i::Integer)
    tovec(d[:x]), tovec(d[:y]), tovec(d[:z])
 end

-function setxy!{X,Y}(plt::Plot, xy::Tuple{X,Y}, i::Integer)
+function setxy!(plt::Plot, xy::Tuple{X,Y}, i::Integer) where {X,Y}
    series = plt.series_list[i]
    series.d[:x], series.d[:y] = xy
    sp = series.d[:subplot]
    reset_extrema!(sp)
    _series_updated(plt, series)
 end
-function setxyz!{X,Y,Z}(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer)
+function setxyz!(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer) where {X,Y,Z}
    series = plt.series_list[i]
    series.d[:x], series.d[:y], series.d[:z] = xyz
    sp = series.d[:subplot]
@@ -682,7 +883,7 @@ function setxyz!{X,Y,Z}(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer)
    _series_updated(plt, series)
 end

-function setxyz!{X,Y,Z<:AbstractMatrix}(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer)
+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

@@ -691,8 +892,8 @@ end
 # indexing notation

 # Base.getindex(plt::Plot, i::Integer) = getxy(plt, i)
-Base.setindex!{X,Y}(plt::Plot, xy::Tuple{X,Y}, i::Integer) = (setxy!(plt, xy, i); plt)
-Base.setindex!{X,Y,Z}(plt::Plot, xyz::Tuple{X,Y,Z}, i::Integer) = (setxyz!(plt, xyz, i); plt)
+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)

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

@@ -804,10 +1005,10 @@ function Base.append!(plt::Plot, i::Integer, x::AVec, y::AVec, z::AVec)
 end

 # tuples
-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...)
+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...)

 # -------------------------------------------------------
 # push/append for all series
@@ -871,9 +1072,152 @@ mm2px(mm::Real)         = float(px / MM_PER_PX)


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

 "Extrema of x-values in plot"
-Base.extrema(plt::Plot) = (xmin(plt), xmax(plt))
+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
@@ -1,10 +1,8 @@
 StatPlots
-FactCheck
 Images
 ImageMagick
@osx QuartzImageIO
-GR
+GR 0.31.0
 RDatasets
 VisualRegressionTests
 UnicodePlots
-Glob
@@ -15,8 +15,7 @@ end

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

 default(size=(500,300))

@@ -24,7 +23,7 @@ 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"0.9.6"
+const _current_plots_version = v"0.17.1"


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

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

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

-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
+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
 wkhtmltoimage http://www.google.com test.png
 ls

@@ -7,89 +7,136 @@ srand(1234)
 default(show=false, reuse=true)
 img_eps = isinteractive() ? 1e-2 : 10e-2

-# facts("Gadfly") do
-#     @fact gadfly() --> Plots.GadflyBackend()
-#     @fact backend() --> Plots.GadflyBackend()
+@testset "GR" begin
+    ENV["PLOTS_TEST"] = "true"
+    ENV["GKSwstype"] = "100"
+    @test gr() == Plots.GRBackend()
+    @test backend() == Plots.GRBackend()
+
+    image_comparison_facts(:gr, eps=img_eps)
+end
+
+
+#@testset "PyPlot" begin
+#    @test pyplot() == Plots.PyPlotBackend()
+#    @test backend() == Plots.PyPlotBackend()
 #
-#     @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(: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()
 #
-#     image_comparison_facts(:gadfly, skip=[4,6,23,24,27], eps=img_eps)
+#     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

-facts("PyPlot") do
-    @fact pyplot() --> Plots.PyPlotBackend()
-    @fact backend() --> Plots.PyPlotBackend()

-    image_comparison_facts(:pyplot, skip=[6,25,30], eps=img_eps)
-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

-facts("GR") do
-    @fact gr() --> Plots.GRBackend()
-    @fact backend() --> Plots.GRBackend()
-
-    if is_linux() && isinteractive()
-        image_comparison_facts(:gr, skip=[2,25,30], eps=img_eps)
-    end
-end
-
-facts("Plotly") do
-    @fact plotly() --> Plots.PlotlyBackend()
-    @fact 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 "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


-# facts("Immerse") do
-#     @fact immerse() --> Plots.ImmerseBackend()
-#     @fact backend() --> Plots.ImmerseBackend()
+# @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()
 #
 #     # 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


-# facts("PlotlyJS") do
-#     @fact plotlyjs() --> Plots.PlotlyJSBackend()
-#     @fact backend() --> Plots.PlotlyJSBackend()
+# @testset "PlotlyJS" begin
+#     @test plotlyjs() == Plots.PlotlyJSBackend()
+#     @test 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


-facts("UnicodePlots") do
-    @fact unicodeplots() --> Plots.UnicodePlotsBackend()
-    @fact backend() --> Plots.UnicodePlotsBackend()
-
-    # lets just make sure it runs without error
-    @fact isa(plot(rand(10)), Plots.Plot) --> true
-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("Axes") do
+
+@testset "Axes" begin
    p = plot()
    axis = p.subplots[1][:xaxis]
-    @fact typeof(axis) --> Plots.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)
+    @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)

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

+@testset "NoFail" begin
+    histogram([1, 0, 0, 0, 0, 0])
+end

 # tests for preprocessing recipes

-# facts("recipes") do
+# @testset "recipes" begin

    # user recipe

@@ -126,6 +173,4 @@ end
 # end


-
-FactCheck.exitstatus()
 end # module
@@ -1,5 +1,5 @@
-# Pkg.clone("ImageMagick")
-# Pkg.build("ImageMagick")
+Pkg.add("ImageMagick")
+Pkg.build("ImageMagick")

 # Pkg.clone("GR")
 # Pkg.build("GR")
@@ -11,11 +11,12 @@ Pkg.clone("https://github.com/JuliaPlots/PlotReferenceImages.jl.git")
 Pkg.clone("StatPlots")
 Pkg.checkout("PlotUtils")

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

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

+# Pkg.add("InspectDR")
+
 Pkg.test("Plots"; coverage=false)