More completely remove deprecated backends

This commit is contained in:
Michael Krabbe Borregaard 2018-10-30 11:41:27 +01:00
parent 45b5b33929
commit f33d135182
13 changed files with 2 additions and 3485 deletions

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@ -217,7 +217,7 @@ const _deprecated_backends = [:qwt, :winston, :bokeh, :gadfly, :immerse]
function warn_on_deprecated_backend(bsym::Symbol)
if bsym in _deprecated_backends
@warn("Backend $bsym has been deprecated. It may not work as originally intended.")
@warn("Backend $bsym has been deprecated.")
end
end
@ -268,13 +268,8 @@ end
# @init_backend Immerse
# @init_backend Gadfly
@init_backend PyPlot
# @init_backend Qwt
@init_backend UnicodePlots
# @init_backend Winston
# @init_backend Bokeh
@init_backend Plotly
@init_backend PlotlyJS
@init_backend GR

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@ -1,208 +0,0 @@
# https://github.com/bokeh/Bokeh.jl
supported_attrs(::BokehBackend) = merge_with_base_supported([
# :annotations,
# :axis,
# :background_color,
:linecolor,
# :color_palette,
# :fillrange,
# :fillcolor,
# :fillalpha,
# :foreground_color,
:group,
# :label,
# :layout,
# :legend,
:seriescolor, :seriesalpha,
:linestyle,
:seriestype,
:linewidth,
# :linealpha,
:markershape,
:markercolor,
:markersize,
# :markeralpha,
# :markerstrokewidth,
# :markerstrokecolor,
# :markerstrokestyle,
# :n,
# :bins,
# :nc,
# :nr,
# :pos,
# :smooth,
# :show,
:size,
:title,
# :window_title,
:x,
# :xguide,
# :xlims,
# :xticks,
:y,
# :yguide,
# :ylims,
# :yrightlabel,
# :yticks,
# :xscale,
# :yscale,
# :xflip,
# :yflip,
# :z,
# :tickfont,
# :guidefont,
# :legendfont,
# :grid,
# :surface,
# :levels,
])
supported_types(::BokehBackend) = [:path, :scatter]
supported_styles(::BokehBackend) = [:auto, :solid, :dash, :dot, :dashdot, :dashdotdot]
supported_markers(::BokehBackend) = [:none, :auto, :circle, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5]
supported_scales(::BokehBackend) = [:identity, :ln]
is_subplot_supported(::BokehBackend) = false
# --------------------------------------------------------------------------------------
function _initialize_backend(::BokehBackend; kw...)
@eval begin
@warn("Bokeh is no longer supported... many features will likely be broken.")
import Bokeh
export Bokeh
end
end
const _glyphtypes = KW(
:circle => :Circle,
:rect => :Square,
:diamond => :Diamond,
:utriangle => :Triangle,
:dtriangle => :InvertedTriangle,
# :pentagon =>
# :hexagon =>
# :heptagon =>
# :octagon =>
:cross => :Cross,
:xcross => :X,
:star5 => :Asterisk,
)
function bokeh_glyph_type(plotattributes::KW)
st = plotattributes[:seriestype]
mt = plotattributes[:markershape]
if st == :scatter && mt == :none
mt = :circle
end
# if we have a marker, use that
if st == :scatter || mt != :none
return _glyphtypes[mt]
end
# otherwise return a line
return :Line
end
function get_stroke_vector(linestyle::Symbol)
dash = 12
dot = 3
gap = 2
linestyle == :solid && return Int[]
linestyle == :dash && return Int[dash, gap]
linestyle == :dot && return Int[dot, gap]
linestyle == :dashdot && return Int[dash, gap, dot, gap]
linestyle == :dashdotdot && return Int[dash, gap, dot, gap, dot, gap]
error("unsupported linestyle: ", linestyle)
end
# ---------------------------------------------------------------------------
# function _create_plot(pkg::BokehBackend, plotattributes::KW)
function _create_backend_figure(plt::Plot{BokehBackend})
# TODO: create the window/canvas/context that is the plot within the backend (call it `o`)
# TODO: initialize the plot... title, xlabel, bgcolor, etc
datacolumns = Bokeh.BokehDataSet[]
tools = Bokeh.tools()
filename = tempname() * ".html"
title = plt.attr[:title]
w, h = plt.attr[:size]
xaxis_type = plt.attr[:xscale] == :log10 ? :log : :auto
yaxis_type = plt.attr[:yscale] == :log10 ? :log : :auto
# legend = plt.attr[:legend] ? xxxx : nothing
legend = nothing
extra_args = KW() # TODO: we'll put extra settings (xlim, etc) here
Bokeh.Plot(datacolumns, tools, filename, title, w, h, xaxis_type, yaxis_type, legend) #, extra_args)
# Plot(bplt, pkg, 0, plotattributes, KW[])
end
# function _series_added(::BokehBackend, plt::Plot, plotattributes::KW)
function _series_added(plt::Plot{BokehBackend}, series::Series)
bdata = Dict{Symbol, Vector}(:x => collect(series.plotattributes[:x]), :y => collect(series.plotattributes[:y]))
glyph = Bokeh.Bokehjs.Glyph(
glyphtype = bokeh_glyph_type(plotattributes),
linecolor = webcolor(plotattributes[:linecolor]), # shape's stroke or line color
linewidth = plotattributes[:linewidth], # shape's stroke width or line width
fillcolor = webcolor(plotattributes[:markercolor]),
size = ceil(Int, plotattributes[:markersize] * 2.5), # magic number 2.5 to keep in same scale as other backends
dash = get_stroke_vector(plotattributes[:linestyle])
)
legend = nothing # TODO
push!(plt.o.datacolumns, Bokeh.BokehDataSet(bdata, glyph, legend))
# push!(plt.seriesargs, plotattributes)
# plt
end
# ----------------------------------------------------------------
# TODO: override this to update plot items (title, xlabel, etc) after creation
function _update_plot_object(plt::Plot{BokehBackend}, plotattributes::KW)
end
# ----------------------------------------------------------------
# accessors for x/y data
# function getxy(plt::Plot{BokehBackend}, i::Int)
# series = plt.o.datacolumns[i].data
# series[:x], series[:y]
# end
#
# function setxy!(plt::Plot{BokehBackend}, xy::Tuple{X,Y}, i::Integer)
# series = plt.o.datacolumns[i].data
# series[:x], series[:y] = xy
# plt
# end
# ----------------------------------------------------------------
# ----------------------------------------------------------------
function Base.show(io::IO, ::MIME"image/png", plt::AbstractPlot{BokehBackend})
# TODO: write a png to io
@warn("mime png not implemented")
end
function Base.display(::PlotsDisplay, plt::Plot{BokehBackend})
Bokeh.showplot(plt.o)
end
# function Base.display(::PlotsDisplay, plt::Subplot{BokehBackend})
# # TODO: display/show the subplot
# end

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@ -1,744 +0,0 @@
# https://github.com/dcjones/Gadfly.jl
supported_attrs(::GadflyBackend) = merge_with_base_supported([
:annotations,
:background_color, :foreground_color, :color_palette,
:group, :label, :seriestype,
:seriescolor, :seriesalpha,
:linecolor, :linestyle, :linewidth, :linealpha,
:markershape, :markercolor, :markersize, :markeralpha,
:markerstrokewidth, :markerstrokecolor, :markerstrokealpha,
:fillrange, :fillcolor, :fillalpha,
:bins, :n, :nc, :nr, :layout, :smooth,
:title, :window_title, :show, :size,
:x, :xguide, :xlims, :xticks, :xscale, :xflip,
:y, :yguide, :ylims, :yticks, :yscale, :yflip,
:z,
:tickfont, :guidefont, :legendfont,
:grid, :legend, :colorbar,
:marker_z, :levels,
:xerror, :yerror,
:ribbon, :quiver,
:orientation,
])
supported_types(::GadflyBackend) = [
:path,
:scatter, :hexbin,
:bar,
:contour, :shape
]
supported_styles(::GadflyBackend) = [:auto, :solid, :dash, :dot, :dashdot, :dashdotdot]
supported_markers(::GadflyBackend) = vcat(_allMarkers, Shape)
supported_scales(::GadflyBackend) = [:identity, :ln, :log2, :log10, :asinh, :sqrt]
is_subplot_supported(::GadflyBackend) = true
# --------------------------------------------------------------------------------------
function _initialize_backend(::GadflyBackend; kw...)
@eval begin
import Gadfly, Compose
export Gadfly, Compose
include(joinpath(dirname(@__FILE__), "gadfly_shapes.jl"))
end
end
# ---------------------------------------------------------------------------
# immutable MissingVec <: AbstractVector{Float64} end
# Base.size(v::MissingVec) = (1,)
# Base.getindex(v::MissingVec, i::Integer) = 0.0
function createGadflyPlotObject(plotattributes::KW)
gplt = Gadfly.Plot()
gplt.mapping = Dict()
gplt.data_source = Gadfly.DataFrames.DataFrame()
# gplt.layers = gplt.layers[1:0]
gplt.layers = [Gadfly.layer(Gadfly.Geom.point(tag=:remove), x=zeros(1), y=zeros(1));] # x=MissingVec(), y=MissingVec());]
gplt.guides = Gadfly.GuideElement[Gadfly.Guide.xlabel(plotattributes[:xguide]),
Gadfly.Guide.ylabel(plotattributes[:yguide]),
Gadfly.Guide.title(plotattributes[:title])]
gplt
end
# ---------------------------------------------------------------------------
function getLineGeom(plotattributes::KW)
st = plotattributes[:seriestype]
xbins, ybins = maketuple(plotattributes[:bins])
if st == :hexb
Gadfly.Geom.hexbin(xbincount = xbins, ybincount = ybins)
elseif st == :histogram2d
Gadfly.Geom.histogram2d(xbincount = xbins, ybincount = ybins)
elseif st == :histogram
Gadfly.Geom.histogram(bincount = xbins,
orientation = isvertical(plotattributes) ? :vertical : :horizontal,
position = plotattributes[:bar_position] == :stack ? :stack : :dodge)
elseif st == :path
Gadfly.Geom.path
elseif st in (:bar, :sticks)
Gadfly.Geom.bar
elseif st == :steppost
Gadfly.Geom.step
elseif st == :steppre
Gadfly.Geom.step(direction = :vh)
elseif st == :hline
Gadfly.Geom.hline
elseif st == :vline
Gadfly.Geom.vline
elseif st == :contour
Gadfly.Geom.contour(levels = plotattributes[:levels])
# elseif st == :shape
# Gadfly.Geom.polygon(fill = true, preserve_order = true)
else
nothing
end
end
function get_extra_theme_args(plotattributes::KW, k::Symbol)
# gracefully handles old Gadfly versions
extra_theme_args = KW()
try
extra_theme_args[:line_style] = Gadfly.get_stroke_vector(plotattributes[k])
catch err
if string(err) == "UndefVarError(:get_stroke_vector)"
Base.warn_once("Gadfly.get_stroke_vector failed... do you have an old version of Gadfly?")
else
rethrow()
end
end
extra_theme_args
end
function getGadflyLineTheme(plotattributes::KW)
st = plotattributes[:seriestype]
lc = convertColor(getColor(plotattributes[:linecolor]), plotattributes[:linealpha])
fc = convertColor(getColor(plotattributes[:fillcolor]), plotattributes[:fillalpha])
Gadfly.Theme(;
default_color = (st in (:histogram,:histogram2d,:hexbin,:bar,:sticks) ? fc : lc),
line_width = (st == :sticks ? 1 : plotattributes[:linewidth]) * Gadfly.px,
# line_style = Gadfly.get_stroke_vector(plotattributes[:linestyle]),
lowlight_color = x->RGB(fc), # fill/ribbon
lowlight_opacity = alpha(fc), # fill/ribbon
bar_highlight = RGB(lc), # bars
get_extra_theme_args(plotattributes, :linestyle)...
)
end
# add a line as a new layer
function addGadflyLine!(plt::Plot, numlayers::Int, plotattributes::KW, geoms...)
gplt = getGadflyContext(plt)
gfargs = vcat(geoms..., getGadflyLineTheme(plotattributes))
kwargs = KW()
st = plotattributes[:seriestype]
# add a fill?
if plotattributes[:fillrange] != nothing && st != :contour
fillmin, fillmax = map(makevec, maketuple(plotattributes[:fillrange]))
nmin, nmax = length(fillmin), length(fillmax)
kwargs[:ymin] = Float64[min(y, fillmin[mod1(i, nmin)], fillmax[mod1(i, nmax)]) for (i,y) in enumerate(plotattributes[:y])]
kwargs[:ymax] = Float64[max(y, fillmin[mod1(i, nmin)], fillmax[mod1(i, nmax)]) for (i,y) in enumerate(plotattributes[:y])]
push!(gfargs, Gadfly.Geom.ribbon)
end
if st in (:hline, :vline)
kwargs[st == :hline ? :yintercept : :xintercept] = plotattributes[:y]
else
if st == :sticks
w = 0.01 * mean(diff(plotattributes[:x]))
kwargs[:xmin] = plotattributes[:x] - w
kwargs[:xmax] = plotattributes[:x] + w
elseif st == :contour
kwargs[:z] = plotattributes[:z].surf
addGadflyContColorScale(plt, plotattributes[:linecolor])
end
kwargs[:x] = plotattributes[st == :histogram ? :y : :x]
kwargs[:y] = plotattributes[:y]
end
# # add the layer
Gadfly.layer(gfargs...; order=numlayers, kwargs...)
end
# ---------------------------------------------------------------------------
get_shape(sym::Symbol) = _shapes[sym]
get_shape(shape::Shape) = shape
# extract the underlying ShapeGeometry object(s)
getMarkerGeom(shapes::AVec) = gadflyshape(map(get_shape, shapes))
getMarkerGeom(other) = gadflyshape(get_shape(other))
# getMarkerGeom(shape::Shape) = gadflyshape(shape)
# getMarkerGeom(shape::Symbol) = gadflyshape(_shapes[shape])
# getMarkerGeom(shapes::AVec) = gadflyshape(map(gadflyshape, shapes)) # map(getMarkerGeom, shapes)
function getMarkerGeom(plotattributes::KW)
if plotattributes[:seriestype] == :shape
Gadfly.Geom.polygon(fill = true, preserve_order = true)
else
getMarkerGeom(plotattributes[:markershape])
end
end
function getGadflyMarkerTheme(plotattributes::KW, attr::KW)
c = getColor(plotattributes[:markercolor])
α = plotattributes[:markeralpha]
if α != nothing
c = RGBA(RGB(c), α)
end
ms = plotattributes[:markersize]
ms = if typeof(ms) <: AVec
@warn("Gadfly doesn't support variable marker sizes... using the average: $(mean(ms))")
mean(ms) * Gadfly.px
else
ms * Gadfly.px
end
Gadfly.Theme(;
default_color = c,
default_point_size = ms,
discrete_highlight_color = c -> RGB(getColor(plotattributes[:markerstrokecolor])),
highlight_width = plotattributes[:markerstrokewidth] * Gadfly.px,
line_width = plotattributes[:markerstrokewidth] * Gadfly.px,
# get_extra_theme_args(plotattributes, :markerstrokestyle)...
)
end
function addGadflyContColorScale(plt::Plot{GadflyBackend}, c)
plt.attr[:colorbar] == :none && return
if !isa(c, ColorGradient)
c = default_gradient()
end
push!(getGadflyContext(plt).scales, Gadfly.Scale.ContinuousColorScale(p -> RGB(getColorZ(c, p))))
end
function addGadflyMarker!(plt::Plot, numlayers::Int, plotattributes::KW, attr::KW, geoms...)
gfargs = vcat(geoms..., getGadflyMarkerTheme(plotattributes, attr), getMarkerGeom(plotattributes))
kwargs = KW()
# handle continuous color scales for the markers
zcolor = plotattributes[:marker_z]
if zcolor != nothing && typeof(zcolor) <: AVec
kwargs[:color] = zcolor
addGadflyContColorScale(plt, plotattributes[:markercolor])
end
Gadfly.layer(gfargs...; x = plotattributes[:x], y = plotattributes[:y], order=numlayers, kwargs...)
end
# ---------------------------------------------------------------------------
function addToGadflyLegend(plt::Plot, plotattributes::KW)
if plt.attr[:legend] != :none && plotattributes[:label] != ""
gplt = getGadflyContext(plt)
# add the legend if needed
if all(g -> !isa(g, Gadfly.Guide.ManualColorKey), gplt.guides)
pushfirst!(gplt.guides, Gadfly.Guide.manual_color_key("", AbstractString[], Color[]))
end
# now add the series to the legend
for guide in gplt.guides
if isa(guide, Gadfly.Guide.ManualColorKey)
# TODO: there's a BUG in gadfly if you pass in the same color more than once,
# since gadfly will call unique(colors), but doesn't also merge the rows that match
# Should ensure from this side that colors which are the same are merged together
c = getColor(plotattributes[plotattributes[:markershape] == :none ? :linecolor : :markercolor])
foundit = false
# extend the label if we found this color
for i in 1:length(guide.colors)
if RGB(c) == guide.colors[i]
guide.labels[i] *= ", " * plotattributes[:label]
foundit = true
end
end
# didn't find the color, so add a new entry into the legend
if !foundit
push!(guide.labels, plotattributes[:label])
push!(guide.colors, c)
end
end
end
end
end
getGadflySmoothing(smooth::Bool) = smooth ? [Gadfly.Geom.smooth(method=:lm)] : Any[]
getGadflySmoothing(smooth::Real) = [Gadfly.Geom.smooth(method=:loess, smoothing=float(smooth))]
function addGadflySeries!(plt::Plot, plotattributes::KW)
layers = Gadfly.Layer[]
gplt = getGadflyContext(plt)
# add a regression line?
# TODO: make more flexible
smooth = getGadflySmoothing(plotattributes[:smooth])
# lines
geom = getLineGeom(plotattributes)
if geom != nothing
prepend!(layers, addGadflyLine!(plt, length(gplt.layers), plotattributes, geom, smooth...))
smooth = Any[] # don't add a regression for markers too
end
# special handling for ohlc and scatter
st = plotattributes[:seriestype]
# if st == :ohlc
# error("Haven't re-implemented after refactoring")
if st in (:histogram2d, :hexbin) && (isa(plotattributes[:fillcolor], ColorGradient) || isa(plotattributes[:fillcolor], ColorFunction))
push!(gplt.scales, Gadfly.Scale.ContinuousColorScale(p -> RGB(getColorZ(plotattributes[:fillcolor], p))))
elseif st == :scatter && plotattributes[:markershape] == :none
plotattributes[:markershape] = :circle
end
# markers
if plotattributes[:markershape] != :none || st == :shape
prepend!(layers, addGadflyMarker!(plt, length(gplt.layers), plotattributes, plt.attr, smooth...))
end
st in (:histogram2d, :hexbin, :contour) || addToGadflyLegend(plt, plotattributes)
# now save the layers that apply to this series
plotattributes[:gadflylayers] = layers
prepend!(gplt.layers, layers)
end
# ---------------------------------------------------------------------------
# NOTE: I'm leaving this here and commented out just in case I want to implement again... it was hacky code to create multi-colored line segments
# # colorgroup
# z = plotattributes[:z]
# # handle line segments of different colors
# cscheme = plotattributes[:linecolor]
# if isa(cscheme, ColorVector)
# # create a color scale, and set the color group to the index of the color
# push!(gplt.scales, Gadfly.Scale.color_discrete_manual(cscheme.v...))
# # this is super weird, but... oh well... for some reason this creates n separate line segments...
# # create a list of vertices that go: [x1,x2,x2,x3,x3, ... ,xi,xi, ... xn,xn] (same for y)
# # then the vector passed to the "color" keyword should be a vector: [1,1,2,2,3,3,4,4, ..., i,i, ... , n,n]
# csindices = Int[mod1(i,length(cscheme.v)) for i in 1:length(plotattributes[:y])]
# cs = collect(repeat(csindices', 2, 1))[1:end-1]
# grp = collect(repeat((1:length(plotattributes[:y]))', 2, 1))[1:end-1]
# plotattributes[:x], plotattributes[:y] = map(createSegments, (plotattributes[:x], plotattributes[:y]))
# colorgroup = [(:linecolor, cs), (:group, grp)]
# ---------------------------------------------------------------------------
function addGadflyTicksGuide(gplt, ticks, isx::Bool)
ticks == :auto && return
# remove the ticks?
if ticks in (:none, false, nothing)
return addOrReplace(gplt.guides, isx ? Gadfly.Guide.xticks : Gadfly.Guide.yticks; label=false)
end
ttype = ticksType(ticks)
# just the values... put ticks here, but use standard labels
if ttype == :ticks
gtype = isx ? Gadfly.Guide.xticks : Gadfly.Guide.yticks
replaceType(gplt.guides, gtype(ticks = collect(ticks)))
# set the ticks and the labels
# Note: this is pretty convoluted, but I think it works. We set the ticks using Gadfly.Guide,
# and then set the label function (wraps a dict lookup) through a continuous Gadfly.Scale.
elseif ttype == :ticks_and_labels
gtype = isx ? Gadfly.Guide.xticks : Gadfly.Guide.yticks
replaceType(gplt.guides, gtype(ticks = collect(ticks[1])))
# # TODO add xtick_label function (given tick, return label??)
# # Scale.x_discrete(; labels=nothing, levels=nothing, order=nothing)
# filterGadflyScale(gplt, isx)
# gfunc = isx ? Gadfly.Scale.x_discrete : Gadfly.Scale.y_discrete
# labelmap = Dict(zip(ticks...))
# labelfunc = val -> labelmap[val]
# push!(gplt.scales, gfunc(levels = collect(ticks[1]), labels = labelfunc))
filterGadflyScale(gplt, isx)
gfunc = isx ? Gadfly.Scale.x_continuous : Gadfly.Scale.y_continuous
labelmap = Dict(zip(ticks...))
labelfunc = val -> labelmap[val]
push!(gplt.scales, gfunc(labels = labelfunc))
else
error("Invalid input for $(isx ? "xticks" : "yticks"): ", ticks)
end
end
continuousAndSameAxis(scale, isx::Bool) = isa(scale, Gadfly.Scale.ContinuousScale) && scale.vars[1] == (isx ? :x : :y)
filterGadflyScale(gplt, isx::Bool) = filter!(scale -> !continuousAndSameAxis(scale, isx), gplt.scales)
function getGadflyScaleFunction(plotattributes::KW, isx::Bool)
scalekey = isx ? :xscale : :yscale
hasScaleKey = haskey(plotattributes, scalekey)
if hasScaleKey
scale = plotattributes[scalekey]
scale == :ln && return isx ? Gadfly.Scale.x_log : Gadfly.Scale.y_log, hasScaleKey, log
scale == :log2 && return isx ? Gadfly.Scale.x_log2 : Gadfly.Scale.y_log2, hasScaleKey, log2
scale == :log10 && return isx ? Gadfly.Scale.x_log10 : Gadfly.Scale.y_log10, hasScaleKey, log10
scale == :asinh && return isx ? Gadfly.Scale.x_asinh : Gadfly.Scale.y_asinh, hasScaleKey, asinh
scale == :sqrt && return isx ? Gadfly.Scale.x_sqrt : Gadfly.Scale.y_sqrt, hasScaleKey, sqrt
end
isx ? Gadfly.Scale.x_continuous : Gadfly.Scale.y_continuous, hasScaleKey, identity
end
function addGadflyLimitsScale(gplt, plotattributes::KW, isx::Bool)
gfunc, hasScaleKey, func = getGadflyScaleFunction(plotattributes, isx)
# do we want to add min/max limits for the axis?
limsym = isx ? :xlims : :ylims
limargs = Any[]
# map :auto to nothing, otherwise add to limargs
lims = get(plotattributes, limsym, :auto)
if lims == :auto
lims = nothing
else
if limsType(lims) == :limits
push!(limargs, (:minvalue, min(lims...)))
push!(limargs, (:maxvalue, max(lims...)))
else
error("Invalid input for $(isx ? "xlims" : "ylims"): ", lims)
end
end
# replace any current scales with this one
if hasScaleKey || !isempty(limargs)
filterGadflyScale(gplt, isx)
push!(gplt.scales, gfunc(; limargs...))
end
lims, func
end
function updateGadflyAxisFlips(gplt, plotattributes::KW, xlims, ylims, xfunc, yfunc)
if isa(gplt.coord, Gadfly.Coord.Cartesian)
gplt.coord = Gadfly.Coord.cartesian(
gplt.coord.xvars,
gplt.coord.yvars;
xmin = xlims == nothing ? gplt.coord.xmin : xfunc(minimum(xlims)),
xmax = xlims == nothing ? gplt.coord.xmax : xfunc(maximum(xlims)),
ymin = ylims == nothing ? gplt.coord.ymin : yfunc(minimum(ylims)),
ymax = ylims == nothing ? gplt.coord.ymax : yfunc(maximum(ylims)),
xflip = get(plotattributes, :xflip, gplt.coord.xflip),
yflip = get(plotattributes, :yflip, gplt.coord.yflip),
fixed = gplt.coord.fixed,
aspect_ratio = gplt.coord.aspect_ratio,
raster = gplt.coord.raster
)
else
gplt.coord = Gadfly.Coord.Cartesian(
xflip = get(plotattributes, :xflip, false),
yflip = get(plotattributes, :yflip, false)
)
end
end
function findGuideAndSet(gplt, t::DataType, args...; kw...)
for (i,guide) in enumerate(gplt.guides)
if isa(guide, t)
gplt.guides[i] = t(args...; kw...)
end
end
end
function updateGadflyGuides(plt::Plot, plotattributes::KW)
gplt = getGadflyContext(plt)
haskey(plotattributes, :title) && findGuideAndSet(gplt, Gadfly.Guide.title, string(plotattributes[:title]))
haskey(plotattributes, :xguide) && findGuideAndSet(gplt, Gadfly.Guide.xlabel, string(plotattributes[:xguide]))
haskey(plotattributes, :yguide) && findGuideAndSet(gplt, Gadfly.Guide.ylabel, string(plotattributes[:yguide]))
xlims, xfunc = addGadflyLimitsScale(gplt, plotattributes, true)
ylims, yfunc = addGadflyLimitsScale(gplt, plotattributes, false)
ticks = get(plotattributes, :xticks, :auto)
if ticks == :none
_remove_axis(plt, true)
else
addGadflyTicksGuide(gplt, ticks, true)
end
ticks = get(plotattributes, :yticks, :auto)
if ticks == :none
_remove_axis(plt, false)
else
addGadflyTicksGuide(gplt, ticks, false)
end
updateGadflyAxisFlips(gplt, plotattributes, xlims, ylims, xfunc, yfunc)
end
function updateGadflyPlotTheme(plt::Plot, plotattributes::KW)
kwargs = KW()
# colors
insidecolor, gridcolor, textcolor, guidecolor, legendcolor =
map(s -> getColor(plotattributes[s]), (
:background_color_inside,
:foreground_color_grid,
:foreground_color_text,
:foreground_color_guide,
:foreground_color_legend
))
# # hide the legend?
leg = plotattributes[plotattributes[:legend] == :none ? :colorbar : :legend]
if leg != :best
kwargs[:key_position] = leg == :inside ? :right : leg
end
if !get(plotattributes, :grid, true)
kwargs[:grid_color] = gridcolor
end
# fonts
tfont, gfont, lfont = plotattributes[:tickfont], plotattributes[:guidefont], plotattributes[:legendfont]
getGadflyContext(plt).theme = Gadfly.Theme(;
background_color = insidecolor,
minor_label_color = textcolor,
minor_label_font = tfont.family,
minor_label_font_size = tfont.pointsize * Gadfly.pt,
major_label_color = guidecolor,
major_label_font = gfont.family,
major_label_font_size = gfont.pointsize * Gadfly.pt,
key_title_color = guidecolor,
key_title_font = gfont.family,
key_title_font_size = gfont.pointsize * Gadfly.pt,
key_label_color = legendcolor,
key_label_font = lfont.family,
key_label_font_size = lfont.pointsize * Gadfly.pt,
plot_padding = 1 * Gadfly.mm,
kwargs...
)
end
# ----------------------------------------------------------------
function createGadflyAnnotationObject(x, y, val::AbstractString)
Gadfly.Guide.annotation(Compose.compose(
Compose.context(),
Compose.text(x, y, val)
))
end
function createGadflyAnnotationObject(x, y, txt::PlotText)
halign = (txt.font.halign == :hcenter ? Compose.hcenter : (txt.font.halign == :left ? Compose.hleft : Compose.hright))
valign = (txt.font.valign == :vcenter ? Compose.vcenter : (txt.font.valign == :top ? Compose.vtop : Compose.vbottom))
rotations = (txt.font.rotation == 0.0 ? [] : [Compose.Rotation(txt.font.rotation, Compose.Point(Compose.x_measure(x), Compose.y_measure(y)))])
Gadfly.Guide.annotation(Compose.compose(
Compose.context(),
Compose.text(x, y, txt.str, halign, valign, rotations...),
Compose.font(string(txt.font.family)),
Compose.fontsize(txt.font.pointsize * Gadfly.pt),
Compose.stroke(txt.font.color),
Compose.fill(txt.font.color)
))
end
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
end
# ---------------------------------------------------------------------------
# create a blank Gadfly.Plot object
# function _create_plot(pkg::GadflyBackend, plotattributes::KW)
# gplt = createGadflyPlotObject(plotattributes)
# Plot(gplt, pkg, 0, plotattributes, KW[])
# end
function _create_backend_figure(plt::Plot{GadflyBackend})
createGadflyPlotObject(plt.attr)
end
# plot one data series
# function _series_added(::GadflyBackend, plt::Plot, plotattributes::KW)
function _series_added(plt::Plot{GadflyBackend}, series::Series)
# first clear out the temporary layer
gplt = getGadflyContext(plt)
if gplt.layers[1].geom.tag == :remove
gplt.layers = gplt.layers[2:end]
end
addGadflySeries!(plt, series.plotattributes)
# push!(plt.seriesargs, plotattributes)
# plt
end
function _update_plot_object(plt::Plot{GadflyBackend}, plotattributes::KW)
updateGadflyGuides(plt, plotattributes)
updateGadflyPlotTheme(plt, plotattributes)
end
# ----------------------------------------------------------------
# accessors for x/y data
# TODO: need to save all the layer indices which apply to this series
function getGadflyMappings(plt::Plot, i::Integer)
@assert i > 0 && i <= plt.n
mappings = [l.mapping for l in plt.seriesargs[i][:gadflylayers]]
end
function getxy(plt::Plot{GadflyBackend}, i::Integer)
mapping = getGadflyMappings(plt, i)[1]
mapping[:x], mapping[:y]
end
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
plt
end
# ----------------------------------------------------------------
# # create the underlying object (each backend will do this differently)
# function _create_subplot(subplt::Subplot{GadflyBackend}, isbefore::Bool)
# isbefore && return false # wait until after plotting to create the subplots
# subplt.o = nothing
# true
# end
function _remove_axis(plt::Plot{GadflyBackend}, isx::Bool)
gplt = getGadflyContext(plt)
addOrReplace(gplt.guides, isx ? Gadfly.Guide.xticks : Gadfly.Guide.yticks; label=false)
addOrReplace(gplt.guides, isx ? Gadfly.Guide.xlabel : Gadfly.Guide.ylabel, "")
end
function _expand_limits(lims, plt::Plot{GadflyBackend}, isx::Bool)
for l in getGadflyContext(plt).layers
_expand_limits(lims, l.mapping[isx ? :x : :y])
end
end
# ----------------------------------------------------------------
getGadflyContext(plt::Plot{GadflyBackend}) = plt.o
# getGadflyContext(subplt::Subplot{GadflyBackend}) = buildGadflySubplotContext(subplt)
# # create my Compose.Context grid by hstacking and vstacking the Gadfly.Plot objects
# function buildGadflySubplotContext(subplt::Subplot)
# rows = Any[]
# row = Any[]
# for (i,(r,c)) in enumerate(subplt.layout)
#
# # add the Plot object to the row
# push!(row, getGadflyContext(subplt.plts[i]))
#
# # add the row
# if c == ncols(subplt.layout, r)
# push!(rows, Gadfly.hstack(row...))
# row = Any[]
# end
# end
#
# # stack the rows
# Gadfly.vstack(rows...)
# end
setGadflyDisplaySize(w,h) = Compose.set_default_graphic_size(w * Compose.px, h * Compose.px)
setGadflyDisplaySize(plt::Plot) = setGadflyDisplaySize(plt.attr[:size]...)
# setGadflyDisplaySize(subplt::Subplot) = setGadflyDisplaySize(getattr(subplt, 1)[:size]...)
# -------------------------------------------------------------------------
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)
end
getGadflyWriteFunc(::MIME"image/png") = Gadfly.PNG
getGadflyWriteFunc(::MIME"image/svg+xml") = Gadfly.SVG
# getGadflyWriteFunc(::MIME"text/html") = Gadfly.SVGJS
getGadflyWriteFunc(::MIME"application/pdf") = Gadfly.PDF
getGadflyWriteFunc(::MIME"application/postscript") = Gadfly.PS
getGadflyWriteFunc(::MIME"application/x-tex") = Gadfly.PGF
getGadflyWriteFunc(m::MIME) = error("Unsupported in Gadfly/Immerse: ", m)
for mime in (MIME"image/png", MIME"image/svg+xml", MIME"application/pdf", MIME"application/postscript", MIME"application/x-tex")
@eval function Base.show(io::IO, ::$mime, plt::AbstractPlot{P}) where P<:Union{GadflyBackend,ImmerseBackend}
func = getGadflyWriteFunc($mime())
doshow(io, func, plt)
end
end
function Base.display(::PlotsDisplay, plt::Plot{GadflyBackend})
setGadflyDisplaySize(plt.attr[:size]...)
display(plt.o)
end
# function Base.display(::PlotsDisplay, subplt::Subplot{GadflyBackend})
# setGadflyDisplaySize(getattr(subplt,1)[:size]...)
# ctx = buildGadflySubplotContext(subplt)
#
# # taken from Gadfly since I couldn't figure out how to do it directly
#
# filename = string(Gadfly.tempname(), ".html")
# output = open(filename, "w")
#
# plot_output = IOBuffer()
# Gadfly.draw(Gadfly.SVGJS(plot_output, Compose.default_graphic_width,
# Compose.default_graphic_height, false), ctx)
# plotsvg = takebuf_string(plot_output)
#
# write(output,
# """
# <!DOCTYPE html>
# <html>
# <head>
# <title>Gadfly Plot</title>
# <meta charset="utf-8">
# </head>
# <body>
# <script charset="utf-8">
# $(readall(Compose.snapsvgjs))
# </script>
# <script charset="utf-8">
# $(readall(Gadfly.gadflyjs))
# </script>
# $(plotsvg)
# </body>
# </html>
# """)
# close(output)
# Gadfly.open_file(filename)
# end

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@ -1,93 +0,0 @@
# Geometry which displays arbitrary shapes at given (x, y) positions.
# note: vertices is a list of shapes
struct ShapeGeometry <: Gadfly.GeometryElement
vertices::AbstractVector #{Tuple{Float64,Float64}}
tag::Symbol
function ShapeGeometry(shape; tag::Symbol=Gadfly.Geom.empty_tag)
new(shape, tag)
end
end
# TODO: add for PR
# const shape = ShapeGeometry
function Gadfly.element_aesthetics(::ShapeGeometry)
[:x, :y, :size, :color]
end
# Generate a form for a shape geometry.
#
# Args:
# geom: shape geometry.
# theme: the plot's theme.
# aes: aesthetics.
#
# Returns:
# A compose Form.
#
function Gadfly.render(geom::ShapeGeometry, theme::Gadfly.Theme, aes::Gadfly.Aesthetics)
# TODO: add for PR
# Gadfly.assert_aesthetics_defined("Geom.shape", aes, :x, :y)
# Gadfly.assert_aesthetics_equal_length("Geom.shape", aes,
# element_aesthetics(geom)...)
default_aes = Gadfly.Aesthetics()
default_aes.color = Gadfly.DataFrames.PooledDataArray(RGBA{Float32}[theme.default_color])
default_aes.size = Compose.Measure[theme.default_point_size]
aes = Gadfly.inherit(aes, default_aes)
lw_hover_scale = 10
lw_ratio = theme.line_width / aes.size[1]
aes_x, aes_y = Gadfly.concretize(aes.x, aes.y)
ctx = Compose.compose!(
Compose.context(),
make_polygon(geom, aes.x, aes.y, aes.size),
Compose.fill(aes.color),
Compose.linewidth(theme.highlight_width))
if aes.color_key_continuous != nothing && aes.color_key_continuous
Compose.compose!(ctx,
Compose.stroke(map(theme.continuous_highlight_color, aes.color)))
else
Compose.compose!(ctx,
Compose.stroke(map(theme.discrete_highlight_color, aes.color)),
Compose.svgclass([Gadfly.svg_color_class_from_label(Gadfly.escape_id(aes.color_label([c])[1]))
for c in aes.color]))
end
return Compose.compose!(Compose.context(order=4), Compose.svgclass("geometry"), ctx)
end
function gadflyshape(sv::Shape)
ShapeGeometry(Any[vertices(sv)])
end
function gadflyshape(sv::AVec{Shape})
ShapeGeometry(Any[vertices(s) for s in sv])
end
# create a Compose context given a ShapeGeometry and the xs/ys/sizes
function make_polygon(geom::ShapeGeometry, xs::AbstractArray, ys::AbstractArray, rs::AbstractArray)
n = max(length(xs), length(ys), length(rs))
T = Tuple{Compose.Measure, Compose.Measure}
polys = Array(Vector{T}, n)
for i in 1:n
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)]
end
Gadfly.polygon(polys, geom.tag)
end
# ---------------------------------------------------------------------------------------------

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@ -1,186 +0,0 @@
# https://github.com/JuliaGraphics/Immerse.jl
supported_attrs(::ImmerseBackend) = supported_attrs(GadflyBackend())
supported_types(::ImmerseBackend) = supported_types(GadflyBackend())
supported_styles(::ImmerseBackend) = supported_styles(GadflyBackend())
supported_markers(::ImmerseBackend) = supported_markers(GadflyBackend())
supported_scales(::ImmerseBackend) = supported_scales(GadflyBackend())
is_subplot_supported(::ImmerseBackend) = true
# --------------------------------------------------------------------------------------
function _initialize_backend(::ImmerseBackend; kw...)
@eval begin
import Immerse, Gadfly, Compose, Gtk
export Immerse, Gadfly, Compose, Gtk
include(joinpath(dirname(@__FILE__), "gadfly_shapes.jl"))
end
end
function createImmerseFigure(plotattributes::KW)
w,h = plotattributes[:size]
figidx = Immerse.figure(; name = plotattributes[:window_title], width = w, height = h)
Immerse.Figure(figidx)
end
# ----------------------------------------------------------------
# create a blank Gadfly.Plot object
# function _create_plot(pkg::ImmerseBackend, plotattributes::KW)
# # create the underlying Gadfly.Plot object
# gplt = createGadflyPlotObject(plotattributes)
#
# # save both the Immerse.Figure and the Gadfly.Plot
# Plot((nothing,gplt), pkg, 0, plotattributes, KW[])
# end
function _create_backend_figure(plt::Plot{ImmerseBackend})
(nothing, createGadflyPlotObject(plt.attr))
end
# # plot one data series
# function _series_added(::ImmerseBackend, plt::Plot, plotattributes::KW)
# addGadflySeries!(plt, plotattributes)
# push!(plt.seriesargs, plotattributes)
# plt
# end
function _series_added(plt::Plot{ImmerseBackend}, series::Series)
addGadflySeries!(plt, series.plotattributes)
end
function _update_plot_object(plt::Plot{ImmerseBackend}, plotattributes::KW)
updateGadflyGuides(plt, plotattributes)
updateGadflyPlotTheme(plt, plotattributes)
end
# ----------------------------------------------------------------
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
end
# ----------------------------------------------------------------
# accessors for x/y data
function getxy(plt::Plot{ImmerseBackend}, i::Integer)
mapping = getGadflyMappings(plt, i)[1]
mapping[:x], mapping[:y]
end
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
plt
end
# ----------------------------------------------------------------
# function _create_subplot(subplt::Subplot{ImmerseBackend}, isbefore::Bool)
# return false
# # isbefore && return false
# end
#
# function showSubplotObject(subplt::Subplot{ImmerseBackend})
# # create the Gtk window with vertical box vsep
# plotattributes = getattr(subplt,1)
# w,h = plotattributes[:size]
# vsep = Gtk.GtkBoxLeaf(:v)
# win = Gtk.GtkWindowLeaf(vsep, plotattributes[:window_title], w, h)
#
# figindices = []
# row = Gtk.GtkBoxLeaf(:h)
# push!(vsep, row)
# for (i,(r,c)) in enumerate(subplt.layout)
# plt = subplt.plts[i]
#
# # get the components... box is the main plot GtkBox, and canvas is the GtkCanvas where it's plotted
# box, toolbar, canvas = Immerse.createPlotGuiComponents()
#
# # add the plot's box to the row
# push!(row, box)
#
# # create the figure and store the index returned for destruction later
# figidx = Immerse.figure(canvas)
# push!(figindices, figidx)
#
# fig = Immerse.figure(figidx)
# plt.o = (fig, plt.o[2])
#
# # add the row
# if c == ncols(subplt.layout, r)
# row = Gtk.GtkBoxLeaf(:h)
# push!(vsep, row)
# end
#
# end
#
# # destructor... clean up plots
# Gtk.on_signal_destroy((x...) -> ([Immerse.dropfig(Immerse._display,i) for i in figindices]; subplt.o = nothing), win)
#
# subplt.o = win
# true
# end
function _remove_axis(plt::Plot{ImmerseBackend}, isx::Bool)
gplt = getGadflyContext(plt)
addOrReplace(gplt.guides, isx ? Gadfly.Guide.xticks : Gadfly.Guide.yticks; label=false)
addOrReplace(gplt.guides, isx ? Gadfly.Guide.xlabel : Gadfly.Guide.ylabel, "")
end
function _expand_limits(lims, plt::Plot{ImmerseBackend}, isx::Bool)
for l in getGadflyContext(plt).layers
_expand_limits(lims, l.mapping[isx ? :x : :y])
end
end
# ----------------------------------------------------------------
getGadflyContext(plt::Plot{ImmerseBackend}) = plt.o[2]
# getGadflyContext(subplt::Subplot{ImmerseBackend}) = buildGadflySubplotContext(subplt)
function Base.display(::PlotsDisplay, plt::Plot{ImmerseBackend})
fig, gplt = plt.o
if fig == nothing
fig = createImmerseFigure(plt.attr)
Gtk.on_signal_destroy((x...) -> (Immerse.dropfig(Immerse._display, fig.figno); plt.o = (nothing,gplt)), fig.canvas)
plt.o = (fig, gplt)
end
Immerse.figure(fig.figno; displayfig = false)
display(gplt)
end
# function Base.display(::PlotsDisplay, subplt::Subplot{ImmerseBackend})
#
# # if we haven't created the window yet, do it
# if subplt.o == nothing
# showSubplotObject(subplt)
# end
#
# # display the plots by creating a fresh Immerse.Figure object from the GtkCanvas and Gadfly.Plot
# for plt in subplt.plts
# fig, gplt = plt.o
# Immerse.figure(fig.figno; displayfig = false)
# display(gplt)
# end
#
# # o is the window... show it
# showall(subplt.o)
# end

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@ -1,308 +0,0 @@
# https://github.com/tbreloff/Qwt.jl
supported_attrs(::QwtBackend) = merge_with_base_supported([
:annotations,
:linecolor,
:fillrange,
:fillcolor,
:label,
:legend,
:seriescolor, :seriesalpha,
:linestyle,
:linewidth,
:markershape,
:markercolor,
:markersize,
:bins,
:pos,
:title,
:window_title,
:guide, :lims, :ticks, :scale,
])
supported_types(::QwtBackend) = [:path, :scatter, :hexbin, :bar]
supported_markers(::QwtBackend) = [:none, :auto, :rect, :circle, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5, :star8, :hexagon]
supported_scales(::QwtBackend) = [:identity, :log10]
is_subplot_supported(::QwtBackend) = true
# --------------------------------------------------------------------------------------
function _initialize_backend(::QwtBackend; kw...)
@eval begin
@warn("Qwt is no longer supported... many features will likely be broken.")
import Qwt
export Qwt
end
end
# -------------------------------
const _qwtAliases = KW(
:bins => :heatmap_n,
:fillrange => :fillto,
:linewidth => :width,
:markershape => :marker,
:hexbin => :heatmap,
:path => :line,
:steppost => :step,
:steppre => :stepinverted,
:star5 => :star1,
:star8 => :star2,
)
function fixcolors(plotattributes::KW)
for (k,v) in plotattributes
if typeof(v) <: ColorScheme
plotattributes[k] = getColor(v)
end
end
end
function replaceQwtAliases(plotattributes, s)
if haskey(_qwtAliases, plotattributes[s])
plotattributes[s] = _qwtAliases[plotattributes[s]]
end
end
function adjustQwtKeywords(plt::Plot{QwtBackend}, iscreating::Bool; kw...)
plotattributes = KW(kw)
st = plotattributes[:seriestype]
if st == :scatter
plotattributes[:seriestype] = :none
if plotattributes[:markershape] == :none
plotattributes[:markershape] = :circle
end
elseif st in (:hline, :vline)
addLineMarker(plt, plotattributes)
plotattributes[:seriestype] = :none
plotattributes[:markershape] = :circle
plotattributes[:markersize] = 1
if st == :vline
plotattributes[:x], plotattributes[:y] = plotattributes[:y], plotattributes[:x]
end
elseif !iscreating && st == :bar
plotattributes = barHack(; kw...)
elseif !iscreating && st == :histogram
plotattributes = barHack(; histogramHack(; kw...)...)
end
replaceQwtAliases(plotattributes, :seriestype)
replaceQwtAliases(plotattributes, :markershape)
for k in keys(plotattributes)
if haskey(_qwtAliases, k)
plotattributes[_qwtAliases[k]] = plotattributes[k]
end
end
plotattributes[:x] = collect(plotattributes[:x])
plotattributes[:y] = collect(plotattributes[:y])
plotattributes
end
# function _create_plot(pkg::QwtBackend, plotattributes::KW)
function _create_backend_figure(plt::Plot{QwtBackend})
fixcolors(plt.attr)
dumpdict(plt.attr,"\n\n!!! plot")
o = Qwt.plot(zeros(0,0); plt.attr..., show=false)
# plt = Plot(o, pkg, 0, plotattributes, KW[])
# plt
end
# function _series_added(::QwtBackend, plt::Plot, plotattributes::KW)
function _series_added(plt::Plot{QwtBackend}, series::Series)
plotattributes = adjustQwtKeywords(plt, false; series.plotattributes...)
fixcolors(plotattributes)
dumpdict(plotattributes,"\n\n!!! plot!")
Qwt.oplot(plt.o; plotattributes...)
# push!(plt.seriesargs, plotattributes)
# plt
end
# ----------------------------------------------------------------
function updateLimsAndTicks(plt::Plot{QwtBackend}, plotattributes::KW, isx::Bool)
lims = get(plotattributes, isx ? :xlims : :ylims, nothing)
ticks = get(plotattributes, isx ? :xticks : :yticks, nothing)
w = plt.o.widget
axisid = Qwt.QWT.QwtPlot[isx ? :xBottom : :yLeft]
if typeof(lims) <: Union{Tuple,AVec} && length(lims) == 2
if isx
plt.o.autoscale_x = false
else
plt.o.autoscale_y = false
end
w[:setAxisScale](axisid, lims...)
end
if typeof(ticks) <: AbstractRange
if isx
plt.o.autoscale_x = false
else
plt.o.autoscale_y = false
end
w[:setAxisScale](axisid, float(minimum(ticks)), float(maximum(ticks)), float(step(ticks)))
elseif !(ticks in (nothing, :none, :auto))
@warn("Only Range types are supported for Qwt xticks/yticks. typeof(ticks)=$(typeof(ticks))")
end
# change the scale
scalesym = isx ? :xscale : :yscale
if haskey(plotattributes, scalesym)
scaletype = plotattributes[scalesym]
scaletype == :identity && w[:setAxisScaleEngine](axisid, Qwt.QWT.QwtLinearScaleEngine())
# scaletype == :log && w[:setAxisScaleEngine](axisid, Qwt.QWT.QwtLogScaleEngine(e))
# scaletype == :log2 && w[:setAxisScaleEngine](axisid, Qwt.QWT.QwtLogScaleEngine(2))
scaletype == :log10 && w[:setAxisScaleEngine](axisid, Qwt.QWT.QwtLog10ScaleEngine())
scaletype in supported_scales() || @warn("Unsupported scale type: ", scaletype)
end
end
function _update_plot_object(plt::Plot{QwtBackend}, plotattributes::KW)
haskey(plotattributes, :title) && Qwt.title(plt.o, plotattributes[:title])
haskey(plotattributes, :xguide) && Qwt.xlabel(plt.o, plotattributes[:xguide])
haskey(plotattributes, :yguide) && Qwt.ylabel(plt.o, plotattributes[:yguide])
updateLimsAndTicks(plt, plotattributes, true)
updateLimsAndTicks(plt, plotattributes, false)
end
function _update_plot_pos_size(plt::AbstractPlot{QwtBackend}, plotattributes::KW)
haskey(plotattributes, :size) && Qwt.resizewidget(plt.o, plotattributes[:size]...)
haskey(plotattributes, :pos) && Qwt.movewidget(plt.o, plotattributes[:pos]...)
end
# ----------------------------------------------------------------
# curve.setPen(Qt.QPen(Qt.QColor(color), linewidth, self.getLineStyle(linestyle)))
function addLineMarker(plt::Plot{QwtBackend}, plotattributes::KW)
for yi in plotattributes[:y]
marker = Qwt.QWT.QwtPlotMarker()
ishorizontal = (plotattributes[:seriestype] == :hline)
marker[:setLineStyle](ishorizontal ? 1 : 2)
marker[ishorizontal ? :setYValue : :setXValue](yi)
qcolor = Qwt.convertRGBToQColor(getColor(plotattributes[:linecolor]))
linestyle = plt.o.widget[:getLineStyle](string(plotattributes[:linestyle]))
marker[:setLinePen](Qwt.QT.QPen(qcolor, plotattributes[:linewidth], linestyle))
marker[:attach](plt.o.widget)
end
# marker[:setValue](x, y)
# marker[:setLabel](Qwt.QWT.QwtText(val))
# marker[:attach](plt.o.widget)
end
function createQwtAnnotation(plt::Plot, x, y, val::PlotText)
marker = Qwt.QWT.QwtPlotMarker()
marker[:setValue](x, y)
qwttext = Qwt.QWT.QwtText(val.str)
qwttext[:setFont](Qwt.QT.QFont(val.font.family, val.font.pointsize))
qwttext[:setColor](Qwt.convertRGBToQColor(getColor(val.font.color)))
marker[:setLabel](qwttext)
marker[:attach](plt.o.widget)
end
function createQwtAnnotation(plt::Plot, x, y, val::AbstractString)
marker = Qwt.QWT.QwtPlotMarker()
marker[:setValue](x, y)
marker[:setLabel](Qwt.QWT.QwtText(val))
marker[:attach](plt.o.widget)
end
function _add_annotations(plt::Plot{QwtBackend}, anns::AVec{Tuple{X,Y,V}}) where {X,Y,V}
for ann in anns
createQwtAnnotation(plt, ann...)
end
end
# ----------------------------------------------------------------
# accessors for x/y data
function getxy(plt::Plot{QwtBackend}, i::Int)
series = plt.o.lines[i]
series.x, series.y
end
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
end
# -------------------------------
# -------------------------------
# # create the underlying object (each backend will do this differently)
# function _create_subplot(subplt::Subplot{QwtBackend}, isbefore::Bool)
# isbefore && return false
# i = 0
# rows = Any[]
# row = Any[]
# for (i,(r,c)) in enumerate(subplt.layout)
# push!(row, subplt.plts[i].o)
# if c == ncols(subplt.layout, r)
# push!(rows, Qwt.hsplitter(row...))
# row = Any[]
# end
# end
# # for rowcnt in subplt.layout.rowcounts
# # push!(rows, Qwt.hsplitter([plt.o for plt in subplt.plts[(1:rowcnt) + i]]...))
# # i += rowcnt
# # end
# subplt.o = Qwt.vsplitter(rows...)
# # Qwt.resizewidget(subplt.o, getattr(subplt,1)[:size]...)
# # Qwt.moveToLastScreen(subplt.o) # hack so it goes to my center monitor... sorry
# true
# end
function _expand_limits(lims, plt::Plot{QwtBackend}, isx::Bool)
for series in plt.o.lines
_expand_limits(lims, isx ? series.x : series.y)
end
end
function _remove_axis(plt::Plot{QwtBackend}, isx::Bool)
end
# ----------------------------------------------------------------
function Base.show(io::IO, ::MIME"image/png", plt::Plot{QwtBackend})
Qwt.refresh(plt.o)
Qwt.savepng(plt.o, "/tmp/dfskjdhfkh.png")
write(io, readall("/tmp/dfskjdhfkh.png"))
end
# function Base.show(io::IO, ::MIME"image/png", subplt::Subplot{QwtBackend})
# for plt in subplt.plts
# Qwt.refresh(plt.o)
# end
# Qwt.savepng(subplt.o, "/tmp/dfskjdhfkh.png")
# write(io, readall("/tmp/dfskjdhfkh.png"))
# end
function Base.display(::PlotsDisplay, plt::Plot{QwtBackend})
Qwt.refresh(plt.o)
Qwt.showwidget(plt.o)
end
# function Base.display(::PlotsDisplay, subplt::Subplot{QwtBackend})
# for plt in subplt.plts
# Qwt.refresh(plt.o)
# end
# Qwt.showwidget(subplt.o)
# end

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@ -1,272 +0,0 @@
# https://github.com/nolta/Winston.jl
# credit goes to https://github.com/jverzani for contributing to the first draft of this backend implementation
supported_attrs(::WinstonBackend) = merge_with_base_supported([
:annotations,
:linecolor,
:fillrange,
:fillcolor,
:label,
:legend,
:seriescolor, :seriesalpha,
:linestyle,
:linewidth,
:markershape,
:markercolor,
:markersize,
:bins,
:title,
:window_title,
:guide, :lims, :scale,
])
supported_types(::WinstonBackend) = [:path, :scatter, :bar]
supported_styles(::WinstonBackend) = [:auto, :solid, :dash, :dot, :dashdot]
supported_markers(::WinstonBackend) = [:none, :auto, :rect, :circle, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5]
supported_scales(::WinstonBackend) = [:identity, :log10]
is_subplot_supported(::WinstonBackend) = false
# --------------------------------------------------------------------------------------
function _initialize_backend(::WinstonBackend; kw...)
@eval begin
# ENV["WINSTON_OUTPUT"] = "gtk"
@warn("Winston is no longer supported... many features will likely be broken.")
import Winston, Gtk
export Winston, Gtk
end
end
# ---------------------------------------------------------------------------
## dictionaries for conversion of Plots.jl names to Winston ones.
const winston_linestyle = KW(:solid=>"solid",
:dash=>"dash",
:dot=>"dotted",
:dashdot=>"dotdashed"
)
const winston_marker = KW(:none=>".",
:rect => "square",
:circle=>"circle",
:diamond=>"diamond",
:utriangle=>"triangle",
:dtriangle=>"down-triangle",
:cross => "plus",
:xcross => "cross",
:star5 => "asterisk"
)
function _before_update(plt::Plot{WinstonBackend})
Winston.ghf(plt.o)
end
# ---------------------------------------------------------------------------
function _create_backend_figure(plt::Plot{WinstonBackend})
Winston.FramedPlot(
title = plt.attr[:title],
xlabel = plt.attr[:xguide],
ylabel = plt.attr[:yguide]
)
end
copy_remove(plotattributes::KW, s::Symbol) = delete!(copy(plotattributes), s)
function addRegressionLineWinston(plotattributes::KW, wplt)
xs, ys = regressionXY(plotattributes[:x], plotattributes[:y])
Winston.add(wplt, Winston.Curve(xs, ys, kind="dotted"))
end
function getWinstonItems(plt::Plot)
if isa(plt.o, Winston.FramedPlot)
wplt = plt.o
window, canvas = nothing, nothing
else
window, canvas, wplt = plt.o
end
window, canvas, wplt
end
function _series_added(plt::Plot{WinstonBackend}, series::Series)
plotattributes = series.plotattributes
window, canvas, wplt = getWinstonItems(plt)
# until we call it normally, do the hack
if plotattributes[:seriestype] == :bar
plotattributes = barHack(;plotattributes...)
end
e = KW()
e[:color] = getColor(plotattributes[:linecolor])
e[:linewidth] = plotattributes[:linewidth]
e[:kind] = winston_linestyle[plotattributes[:linestyle]]
e[:symbolkind] = winston_marker[plotattributes[:markershape]]
# markercolor # same choices as `color`, or :match will set the color to be the same as `color`
e[:symbolsize] = plotattributes[:markersize] / 5
# pos # (Int,Int), move the enclosing window to this position
# screen # Integer, move enclosing window to this screen number (for multiscreen desktops)
## lintype :path, :step, :stepinverted, :sticks, :dots, :none, :histogram2d, :hexbin, :histogram, :bar
if plotattributes[:seriestype] == :none
Winston.add(wplt, Winston.Points(plotattributes[:x], plotattributes[:y]; copy_remove(e, :kind)..., color=getColor(plotattributes[:markercolor])))
elseif plotattributes[:seriestype] == :path
x, y = plotattributes[:x], plotattributes[:y]
Winston.add(wplt, Winston.Curve(x, y; e...))
fillrange = plotattributes[:fillrange]
if fillrange != nothing
if isa(fillrange, AbstractVector)
y2 = fillrange
else
y2 = Float64[fillrange for yi in y]
end
Winston.add(wplt, Winston.FillBetween(x, y, x, y2, fillcolor=getColor(plotattributes[:fillcolor])))
end
elseif plotattributes[:seriestype] == :scatter
if plotattributes[:markershape] == :none
plotattributes[:markershape] = :circle
end
# elseif plotattributes[:seriestype] == :step
# fn = Winston.XXX
# elseif plotattributes[:seriestype] == :stepinverted
# fn = Winston.XXX
elseif plotattributes[:seriestype] == :sticks
Winston.add(wplt, Winston.Stems(plotattributes[:x], plotattributes[:y]; e...))
# elseif plotattributes[:seriestype] == :dots
# fn = Winston.XXX
# elseif plotattributes[:seriestype] == :histogram2d
# fn = Winston.XXX
# elseif plotattributes[:seriestype] == :hexbin
# fn = Winston.XXX
elseif plotattributes[:seriestype] == :histogram
hst = hist(plotattributes[:y], plotattributes[:bins])
Winston.add(wplt, Winston.Histogram(hst...; copy_remove(e, :bins)...))
# elseif plotattributes[:seriestype] == :bar
# # fn = Winston.XXX
else
error("seriestype $(plotattributes[:seriestype]) not supported by Winston.")
end
# markershape
if plotattributes[:markershape] != :none
Winston.add(wplt, Winston.Points(plotattributes[:x], plotattributes[:y]; copy_remove(e, :kind)..., color=getColor(plotattributes[:markercolor])))
end
# optionally add a regression line
plotattributes[:smooth] && plotattributes[:seriestype] != :histogram && addRegressionLineWinston(plotattributes, wplt)
# push!(plt.seriesargs, plotattributes)
# plt
end
# ----------------------------------------------------------------
const _winstonNames = KW(
:xlims => :xrange,
:ylims => :yrange,
:xscale => :xlog,
:yscale => :ylog,
)
function _update_plot_object(plt::Plot{WinstonBackend}, plotattributes::KW)
window, canvas, wplt = getWinstonItems(plt)
for k in (:xguide, :yguide, :title, :xlims, :ylims)
if haskey(plotattributes, k)
Winston.setattr(wplt, string(get(_winstonNames, k, k)), plotattributes[k])
end
end
for k in (:xscale, :yscale)
if haskey(plotattributes, k)
islogscale = plotattributes[k] == :log10
Winston.setattr(wplt, (k == :xscale ? :xlog : :ylog), islogscale)
end
end
end
# ----------------------------------------------------------------
function createWinstonAnnotationObject(plt::Plot{WinstonBackend}, x, y, val::AbstractString)
Winston.text(x, y, val)
end
function _add_annotations(plt::Plot{WinstonBackend}, anns::AVec{Tuple{X,Y,V}}) where {X,Y,V}
for ann in anns
createWinstonAnnotationObject(plt, ann...)
end
end
# ----------------------------------------------------------------
# function _create_subplot(subplt::Subplot{WinstonBackend}, isbefore::Bool)
# # TODO: build the underlying Subplot object. this is where you might layout the panes within a GUI window, for example
# end
# ----------------------------------------------------------------
function addWinstonLegend(plt::Plot, wplt)
if plt.attr[:legend] != :none
Winston.legend(wplt, [sd[:label] for sd in plt.seriesargs])
end
end
function Base.show(io::IO, ::MIME"image/png", plt::AbstractPlot{WinstonBackend})
window, canvas, wplt = getWinstonItems(plt)
addWinstonLegend(plt, wplt)
show(io, "image/png", wplt)
end
function Base.display(::PlotsDisplay, plt::Plot{WinstonBackend})
window, canvas, wplt = getWinstonItems(plt)
if window == nothing
if Winston.output_surface != :gtk
error("Gtk is the only supported display for Winston in Plots. Set `output_surface = gtk` in src/Winston.ini")
end
# initialize window
w,h = plt.attr[:size]
canvas = Gtk.GtkCanvasLeaf()
window = Gtk.GtkWindowLeaf(canvas, plt.attr[:window_title], w, h)
plt.o = (window, canvas, wplt)
end
addWinstonLegend(plt, wplt)
Winston.display(canvas, wplt)
Gtk.showall(window)
end
# function Base.display(::PlotsDisplay, subplt::Subplot{WinstonBackend})
# # TODO: display/show the Subplot object
# end

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abstract type ColorScheme end
Base.getindex(scheme::ColorScheme, i::Integer) = getColor(scheme, i)
export
cgrad
cgrad() = default_gradient()
function cgrad(arg, values = nothing; alpha = nothing, scale = :identity)
colors = ColorGradient(arg, alpha=alpha).colors
values = if values != nothing
values
elseif scale in (:log, :log10)
log10(range(1, stop=10, length=30))
elseif scale == :log2
log2(range(1, stop=2, length=30))
elseif scale == :ln
log(range(1, stop=pi, length=30))
elseif scale in (:exp, :exp10)
(exp10(range(0, stop=1, length=30)) - 1) / 9
else
range(0, stop=1, length=length(colors))
end
ColorGradient(colors, values)
end
# --------------------------------------------------------------
getColor(scheme::ColorScheme) = getColor(scheme, 1)
getColorVector(scheme::ColorScheme) = [getColor(scheme)]
colorscheme(scheme::ColorScheme) = scheme
colorscheme(s::AbstractString; kw...) = colorscheme(Symbol(s); kw...)
colorscheme(s::Symbol; kw...) = haskey(_gradients, s) ? ColorGradient(s; kw...) : ColorWrapper(convertColor(s); kw...)
colorscheme(s::Symbol, vals::AVec{T}; kw...) where {T<:Real} = ColorGradient(s, vals; kw...)
colorscheme(cs::AVec, vs::AVec; kw...) = ColorGradient(cs, vs; 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)]'
colorscheme(c::Colorant; kw...) = ColorWrapper(c; kw...)
# --------------------------------------------------------------
convertColor(c::AbstractString) = parse(Colorant, c)
convertColor(c::Symbol) = parse(Colorant, string(c))
convertColor(c::Colorant) = c
convertColor(cvec::AbstractVector) = map(convertColor, cvec)
convertColor(c::ColorScheme) = c
convertColor(v::Nothing) = RGBA(0,0,0,0)
convertColor(b::Bool) = b ? RGBA(0,0,0,1) : RGBA(0,0,0,0)
function convertColor(c, α::Real)
c = convertColor(c)
RGBA(RGB(getColor(c)), α)
end
convertColor(cs::AVec, α::Real) = map(c -> convertColor(c, α), cs)
convertColor(c, α::Nothing) = convertColor(c)
# backup... try to convert
getColor(c) = convertColor(c)
# --------------------------------------------------------------
function darken(c, v=0.1)
rgba = convert(RGBA, c)
r = max(0, min(rgba.r - v, 1))
g = max(0, min(rgba.g - v, 1))
b = max(0, min(rgba.b - v, 1))
RGBA(r,g,b,rgba.alpha)
end
function lighten(c, v=0.3)
darken(c, -v)
end
# --------------------------------------------------------------
const _rainbowColors = [colorant"purple", colorant"blue", colorant"green", colorant"orange", colorant"red"]
const _testColors = [colorant"darkblue", colorant"blueviolet", colorant"darkcyan",colorant"green",
darken(colorant"yellow",0.3), colorant"orange", darken(colorant"red",0.2)]
const _gradients = KW(
:blues => [colorant"lightblue", colorant"darkblue"],
:reds => [colorant"lightpink", colorant"darkred"],
:greens => [colorant"lightgreen", colorant"darkgreen"],
:redsblues => [colorant"darkred", RGB(0.8,0.85,0.8), colorant"darkblue"],
:bluesreds => [colorant"darkblue", RGB(0.8,0.85,0.8), colorant"darkred"],
:heat => [colorant"lightyellow", colorant"orange", colorant"darkred"],
:grays => [RGB(.95,.95,.95),RGB(.05,.05,.05)],
:rainbow => _rainbowColors,
:lightrainbow => map(lighten, _rainbowColors),
:darkrainbow => map(darken, _rainbowColors),
:darktest => _testColors,
:lighttest => map(c -> lighten(c, 0.3), _testColors),
)
function register_gradient_colors(name::Symbol, colors::AVec{C}) where C<:Colorant
_gradients[name] = colors
end
include("color_gradients.jl")
default_gradient() = ColorGradient(:inferno)
# --------------------------------------------------------------
"Continuous gradient between values. Wraps a list of bounding colors and the values they represent."
struct ColorGradient <: ColorScheme
colors::Vector
values::Vector
function ColorGradient(cs::AVec, vals::AVec{S} = range(0, stop=1, length=length(cs)); alpha = nothing) where S<:Real
if length(cs) == length(vals)
return new(convertColor(cs,alpha), collect(vals))
end
# # otherwise interpolate evenly between the minval and maxval
# minval, maxval = minimum(vals), maximum(vals)
# vs = Float64[interpolate(minval, maxval, w) for w in range(0, stop = 1, length = length(cs))]
# new(convertColor(cs,alpha), vs)
# interpolate the colors for each value
vals = merge(range(0, stop=1, length=length(cs)), vals)
grad = ColorGradient(cs)
cs = [getColorZ(grad, z) for z in range(0, stop=1, length=length(vals))]
new(convertColor(cs, alpha), vals)
end
end
Base.getindex(cs::ColorGradient, i::Integer) = getColor(cs, i)
Base.getindex(cs::ColorGradient, z::Number) = getColorZ(cs, z)
# create a gradient from a symbol (blues, reds, etc) and vector of boundary values
function ColorGradient(s::Symbol, vals::AVec{T} = 0:0; kw...) where T<:Real
haskey(_gradients, s) || error("Invalid gradient symbol. Choose from: ", sort(collect(keys(_gradients))))
cs = _gradients[s]
if vals == 0:0
vals = range(0, stop=1, length=length(cs))
end
ColorGradient(cs, vals; kw...)
end
# function ColorGradient{T<:Real}(cs::AVec, vals::AVec{T} = range(0, stop = 1, length = length(cs)); kw...)
# ColorGradient(map(convertColor, cs), vals; kw...)
# end
function ColorGradient(grad::ColorGradient; alpha = nothing)
ColorGradient(convertColor(grad.colors, alpha), grad.values)
end
# anything else just gets the default gradient
function ColorGradient(cw; alpha=nothing)
ColorGradient(default_gradient(), alpha=alpha)
end
getColor(gradient::ColorGradient, idx::Int) = gradient.colors[mod1(idx, length(gradient.colors))]
function getColorZ(gradient::ColorGradient, z::Real)
cs = gradient.colors
vs = gradient.values
n = length(cs)
@assert n > 0 && n == length(vs)
# can we just return the first color?
if z <= vs[1] || n == 1
return cs[1]
end
# find the bounding colors and interpolate
for i in 2:n
if z <= vs[i]
return interpolate_rgb(cs[i-1], cs[i], (z - vs[i-1]) / (vs[i] - vs[i-1]))
end
end
# if we get here, return the last color
cs[end]
end
getColorVector(gradient::ColorGradient) = gradient.colors
# for 0.3
Colors.RGBA(c::Colorant) = RGBA(red(c), green(c), blue(c), alpha(c))
Colors.RGB(c::Colorant) = RGB(red(c), green(c), blue(c))
function interpolate_rgb(c1::Colorant, c2::Colorant, w::Real)
rgb1 = RGBA(c1)
rgb2 = RGBA(c2)
r = interpolate(rgb1.r, rgb2.r, w)
g = interpolate(rgb1.g, rgb2.g, w)
b = interpolate(rgb1.b, rgb2.b, w)
a = interpolate(rgb1.alpha, rgb2.alpha, w)
RGBA(r, g, b, a)
end
function interpolate(v1::Real, v2::Real, w::Real)
(1-w) * v1 + w * v2
end
# --------------------------------------------------------------
"Wraps a function, taking an index and returning a Colorant"
struct ColorFunction <: ColorScheme
f::Function
end
getColor(scheme::ColorFunction, idx::Int) = scheme.f(idx)
# --------------------------------------------------------------
"Wraps a function, taking an z-value and returning a Colorant"
struct ColorZFunction <: ColorScheme
f::Function
end
getColorZ(scheme::ColorZFunction, z::Real) = scheme.f(z)
# --------------------------------------------------------------
"Wraps a vector of colors... may be vector of Symbol/String/Colorant"
struct ColorVector <: ColorScheme
v::Vector{Colorant}
ColorVector(v::AVec; alpha = nothing) = new(convertColor(v,alpha))
end
getColor(scheme::ColorVector, idx::Int) = convertColor(scheme.v[mod1(idx, length(scheme.v))])
getColorVector(scheme::ColorVector) = scheme.v
# --------------------------------------------------------------
"Wraps a single color"
struct ColorWrapper <: ColorScheme
c::RGBA
ColorWrapper(c::Colorant; alpha = nothing) = new(convertColor(c, alpha))
end
ColorWrapper(s::Symbol; alpha = nothing) = ColorWrapper(convertColor(parse(Colorant, s), alpha))
getColor(scheme::ColorWrapper, idx::Int) = scheme.c
getColorZ(scheme::ColorWrapper, z::Real) = scheme.c
convertColor(c::ColorWrapper, α::Nothing) = c.c
# --------------------------------------------------------------
isbackgrounddark(bgcolor::Color) = Lab(bgcolor).l < 0.5
# move closer to lighter/darker depending on background value
function adjustAway(val, bgval, vmin=0., vmax=100.)
if bgval < 0.5 * (vmax+vmin)
tmp = max(val, bgval)
return 0.5 * (tmp + max(tmp, vmax))
else
tmp = min(val, bgval)
return 0.5 * (tmp + min(tmp, vmin))
end
end
# borrowed from http://stackoverflow.com/a/1855903:
lightnessLevel(c::Colorant) = 0.299 * red(c) + 0.587 * green(c) + 0.114 * blue(c)
isdark(c::Colorant) = lightnessLevel(c) < 0.5
islight(c::Colorant) = !isdark(c)
function convertHexToRGB(h::Unsigned)
mask = 0x0000FF
RGB([(x & mask) / 0xFF for x in (h >> 16, h >> 8, h)]...)
end
# note: I found this list of hex values in a comment by Tatarize here: http://stackoverflow.com/a/12224359
const _masterColorList = [
0xFFFFFF, 0x000000, 0x0000FF, 0x00FF00, 0xFF0000, 0x01FFFE, 0xFFA6FE, 0xFFDB66, 0x006401, 0x010067,
0x95003A, 0x007DB5, 0xFF00F6, 0xFFEEE8, 0x774D00, 0x90FB92, 0x0076FF, 0xD5FF00, 0xFF937E, 0x6A826C,
0xFF029D, 0xFE8900, 0x7A4782, 0x7E2DD2, 0x85A900, 0xFF0056, 0xA42400, 0x00AE7E, 0x683D3B, 0xBDC6FF,
0x263400, 0xBDD393, 0x00B917, 0x9E008E, 0x001544, 0xC28C9F, 0xFF74A3, 0x01D0FF, 0x004754, 0xE56FFE,
0x788231, 0x0E4CA1, 0x91D0CB, 0xBE9970, 0x968AE8, 0xBB8800, 0x43002C, 0xDEFF74, 0x00FFC6, 0xFFE502,
0x620E00, 0x008F9C, 0x98FF52, 0x7544B1, 0xB500FF, 0x00FF78, 0xFF6E41, 0x005F39, 0x6B6882, 0x5FAD4E,
0xA75740, 0xA5FFD2, 0xFFB167, 0x009BFF, 0xE85EBE
]
const _allColors = map(convertHexToRGB, _masterColorList)
const _darkColors = filter(isdark, _allColors)
const _lightColors = filter(islight, _allColors)
const _sortedColorsForDarkBackground = vcat(_lightColors, reverse(_darkColors[2:end]))
const _sortedColorsForLightBackground = vcat(_darkColors, reverse(_lightColors[2:end]))
const _defaultNumColors = 17
# --------------------------------------------------------------
# Methods to automatically generate gradients for color selection based on
# background color and a short list of seed colors
# here are some magic constants that could be changed if you really want
const _lightness_darkbg = [80.0]
const _lightness_lightbg = [60.0]
const _lch_c_const = [60]
function adjust_lch(color, l, c)
lch = convert(LCHab, color)
convert(RGB, LCHab(l, c, lch.h))
end
function lightness_from_background(bgcolor)
bglight = convert(LCHab, bgcolor).l
bglight < 50.0 ? _lightness_darkbg[1] : _lightness_lightbg[1]
end
function gradient_from_list(cs)
zvalues = Plots.get_zvalues(length(cs))
indices = sortperm(zvalues)
sorted_colors = map(RGBA, cs[indices])
sorted_zvalues = zvalues[indices]
ColorGradient(sorted_colors, sorted_zvalues)
end
function generate_colorgradient(bgcolor = colorant"white";
color_bases = color_bases=[colorant"steelblue",colorant"orangered"],
lightness = lightness_from_background(bgcolor),
chroma = _lch_c_const[1],
n = _defaultNumColors)
seed_colors = vcat(bgcolor, map(c -> adjust_lch(c, lightness, chroma), color_bases))
colors = distinguishable_colors(n,
seed_colors,
lchoices=Float64[lightness],
cchoices=Float64[chroma],
hchoices=range(0, stop=340, length=20)
)[2:end]
gradient_from_list(colors)
end
function get_color_palette(palette, bgcolor::Union{Colorant,ColorWrapper}, numcolors::Integer)
grad = if palette == :auto
generate_colorgradient(bgcolor)
else
ColorGradient(palette)
end
zrng = get_zvalues(numcolors)
RGBA[getColorZ(grad, z) for z in zrng]
end
function get_color_palette(palette::Vector{C},
bgcolor::Union{Colorant,ColorWrapper}, numcolors::Integer) where C<:Colorant
palette
end
# ----------------------------------------------------------------------------------
function getpctrange(n::Int)
n > 0 || error()
n == 1 && return zeros(1)
zs = [0.0, 1.0]
for i in 3:n
sorted = sort(zs)
diffs = diff(sorted)
widestj = 0
widest = 0.0
for (j,d) in enumerate(diffs)
if d > widest
widest = d
widestj = j
end
end
push!(zs, sorted[widestj] + 0.5 * diffs[widestj])
end
zs
end
function get_zvalues(n::Int)
offsets = getpctrange(ceil(Int,n/4)+1)/4
offsets = vcat(offsets[1], offsets[3:end])
zvalues = Float64[]
for offset in offsets
append!(zvalues, offset + [0.0, 0.5, 0.25, 0.75])
end
vcat(zvalues[1], 1.0, zvalues[2:n-1])
end
# ----------------------------------------------------------------------------------
make255(x) = round(Int, 255 * x)
function webcolor(c::Color)
@sprintf("rgb(%d, %d, %d)", [make255(f(c)) for f in [red,green,blue]]...)
end
function webcolor(c::TransparentColor)
@sprintf("rgba(%d, %d, %d, %1.3f)", [make255(f(c)) for f in [red,green,blue]]..., alpha(c))
end
webcolor(cs::ColorScheme) = webcolor(getColor(cs))
webcolor(c) = webcolor(convertColor(c))
webcolor(c, α) = webcolor(convertColor(getColor(c), α))
# ----------------------------------------------------------------------------------
# converts a symbol or string into a colorant (Colors.RGB), and assigns a color automatically
function getSeriesRGBColor(c, sp::Subplot, n::Int)
if c == :auto
c = autopick(sp[:color_palette], n)
end
# c should now be a subtype of ColorScheme
colorscheme(c)
end

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@ -1,63 +0,0 @@
# TODO:
"""
- load Contours.jl similar to DataFrames
- method to build grid from x/y/z vectors
- method to wrap contours creation
- method to plot contours as custom shapes (TODO: create Stroke and Fill types and add markerstroke/markerfill args)
"""
# # ----------------------------------------------------------
# # ----------------------------------------------------------
# immutable Vertex
# x::Float64
# y::Float64
# z::Float64
# end
# immutable Edge
# v::Vertex
# u::Vertex
# end
# # ----------------------------------------------------------
# # one rectangle's z-values and the center vertex
# # z is ordered: topleft, topright, bottomright, bottomleft
# immutable GridRect
# z::Vector{Float64}
# center::Vertex
# data::Vector{Vertex}
# end
# type Grid
# xs::Vector{Float64}
# ys::Vector{Float64}
# rects::Matrix{GridRect}
# end
# function splitDataEvenly(v::AbstractVector{Float64}, n::Int)
# vs = sort(v)
# end
# # the goal here is to create the vertical and horizontal partitions
# # which define the grid, so that the data is somewhat evenly split
# function bucketData(x, y, z)
# end
# function buildGrid(x, y, z)
# # create
# end

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@ -1,99 +0,0 @@
# create a new "build_series_args" which converts all inputs into xs = Any[xitems], ys = Any[yitems].
# Special handling for: no args, xmin/xmax, parametric, dataframes
# Then once inputs have been converted, build the series args, map functions, etc.
# This should cut down on boilerplate code and allow more focused dispatch on type
# note: returns meta information... mainly for use with automatic labeling from DataFrames for now
const FuncOrFuncs = Union{Function, AVec{Function}}
all3D(plotattributes::KW) = trueOrAllTrue(st -> st in (:contour, :contourf, :heatmap, :surface, :wireframe, :contour3d, :image), get(plotattributes, :seriestype, :none))
# missing
convertToAnyVector(v::Nothing, plotattributes::KW) = Any[nothing], nothing
# fixed number of blank series
convertToAnyVector(n::Integer, plotattributes::KW) = Any[zeros(0) for i in 1:n], nothing
# numeric vector
convertToAnyVector(v::AVec{T}, plotattributes::KW) where {T<:Number} = Any[v], nothing
# string vector
convertToAnyVector(v::AVec{T}, plotattributes::KW) where {T<:AbstractString} = Any[v], nothing
function convertToAnyVector(v::AMat, plotattributes::KW)
if all3D(plotattributes)
Any[Surface(v)]
else
Any[v[:,i] for i in 1:size(v,2)]
end, nothing
end
# function
convertToAnyVector(f::Function, plotattributes::KW) = Any[f], nothing
# surface
convertToAnyVector(s::Surface, plotattributes::KW) = Any[s], nothing
# # vector of OHLC
# convertToAnyVector(v::AVec{OHLC}, plotattributes::KW) = Any[v], nothing
# dates
convertToAnyVector(dts::AVec{D}, plotattributes::KW) where {D<:Union{Date,DateTime}} = Any[dts], nothing
# list of things (maybe other vectors, functions, or something else)
function convertToAnyVector(v::AVec, plotattributes::KW)
if all(x -> typeof(x) <: Number, v)
# all real numbers wrap the whole vector as one item
Any[convert(Vector{Float64}, v)], nothing
else
# something else... treat each element as an item
vcat(Any[convertToAnyVector(vi, plotattributes)[1] for vi in v]...), nothing
# Any[vi for vi in v], nothing
end
end
convertToAnyVector(t::Tuple, plotattributes::KW) = Any[t], nothing
function convertToAnyVector(args...)
error("In convertToAnyVector, could not handle the argument types: $(map(typeof, args[1:end-1]))")
end
# --------------------------------------------------------------------
# TODO: can we avoid the copy here? one error that crops up is that mapping functions over the same array
# result in that array being shared. push!, etc will add too many items to that array
compute_x(x::Nothing, y::Nothing, z) = 1:size(z,1)
compute_x(x::Nothing, y, z) = 1:size(y,1)
compute_x(x::Function, y, z) = map(x, y)
compute_x(x, y, z) = copy(x)
# compute_y(x::Void, y::Function, z) = error()
compute_y(x::Nothing, y::Nothing, z) = 1:size(z,2)
compute_y(x, y::Function, z) = map(y, x)
compute_y(x, y, z) = copy(y)
compute_z(x, y, z::Function) = map(z, x, y)
compute_z(x, y, z::AbstractMatrix) = Surface(z)
compute_z(x, y, z::Nothing) = nothing
compute_z(x, y, z) = copy(z)
nobigs(v::AVec{BigFloat}) = map(Float64, v)
nobigs(v::AVec{BigInt}) = map(Int64, v)
nobigs(v) = v
@noinline function compute_xyz(x, y, z)
x = compute_x(x,y,z)
y = compute_y(x,y,z)
z = compute_z(x,y,z)
nobigs(x), nobigs(y), nobigs(z)
end
# not allowed
compute_xyz(x::Nothing, y::FuncOrFuncs, z) = error("If you want to plot the function `$y`, you need to define the x values!")
compute_xyz(x::Nothing, y::Nothing, z::FuncOrFuncs) = error("If you want to plot the function `$z`, you need to define x and y values!")
compute_xyz(x::Nothing, y::Nothing, z::Nothing) = error("x/y/z are all nothing!")
# --------------------------------------------------------------------

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@ -737,7 +737,7 @@ function with(f::Function, args...; kw...)
end
# # TODO: generalize this strategy to allow args as much as possible
# # as in: with(:gadfly, :scatter, :legend, :grid) do; ...; end
# # as in: with(:gr, :scatter, :legend, :grid) do; ...; end
# # TODO: can we generalize this enough to also do something similar in the plot commands??
# k = :seriestype

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@ -87,16 +87,6 @@ end
# # @static Sys.islinux() && image_comparison_facts(:plotly, only=[1,3,4,7,8,9,10,11,12,14,15,20,22,23,27], tol=img_tol)
# 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], tol=img_tol)
# end
# @testset "PlotlyJS" begin
# @test plotlyjs() == Plots.PlotlyJSBackend()
# @test backend() == Plots.PlotlyJSBackend()
@ -106,19 +96,6 @@ end
# 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], tol=img_tol)
# end
@testset "Axes" begin