627 lines
19 KiB
Julia
627 lines
19 KiB
Julia
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# https://plot.ly/javascript/getting-started
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supportedArgs(::PlotlyBackend) = [
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:annotations,
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:background_color, :foreground_color, :color_palette,
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# :background_color_legend, :background_color_inside, :background_color_outside,
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# :foreground_color_legend, :foreground_color_grid, :foreground_color_axis,
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# :foreground_color_text, :foreground_color_border,
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:group,
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:label,
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:seriestype,
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:seriescolor, :seriesalpha,
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:linecolor, :linestyle, :linewidth, :linealpha,
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:markershape, :markercolor, :markersize, :markeralpha,
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:markerstrokewidth, :markerstrokecolor, :markerstrokealpha,
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:fillrange, :fillcolor, :fillalpha,
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:bins,
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:n, :nc, :nr, :layout,
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# :smooth,
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:title, :window_title, :show, :size,
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:x, :xguide, :xlims, :xticks, :xscale, :xflip, :xrotation,
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:y, :yguide, :ylims, :yticks, :yscale, :yflip, :yrotation,
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:z, :zguide, :zlims, :zticks, :zscale, :zflip, :zrotation,
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:z,
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:tickfont, :guidefont, :legendfont,
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:grid, :legend, :colorbar,
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:marker_z, :levels,
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:xerror, :yerror,
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:ribbon, :quiver,
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:orientation,
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# :overwrite_figure,
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:polar,
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# :normalize, :weights, :contours, :aspect_ratio
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]
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supportedAxes(::PlotlyBackend) = [:auto, :left]
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supportedTypes(::PlotlyBackend) = [:none, :line, :path, :scatter, :steppre, :steppost,
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:hist2d, :hist, :density, :bar, :contour, :surface, :path3d, :scatter3d,
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:pie, :heatmap] #,, :sticks, :hexbin, :hline, :vline]
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supportedStyles(::PlotlyBackend) = [:auto, :solid, :dash, :dot, :dashdot]
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supportedMarkers(::PlotlyBackend) = [:none, :auto, :ellipse, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross,
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:pentagon, :hexagon, :octagon, :vline, :hline] #vcat(_allMarkers, Shape)
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supportedScales(::PlotlyBackend) = [:identity, :log10] #, :ln, :log2, :log10, :asinh, :sqrt]
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subplotSupported(::PlotlyBackend) = true
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stringsSupported(::PlotlyBackend) = true
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# --------------------------------------------------------------------------------------
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function _initialize_backend(::PlotlyBackend; kw...)
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@eval begin
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import JSON
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JSON._print(io::IO, state::JSON.State, dt::Union{Date,DateTime}) = print(io, '"', dt, '"')
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_js_path = Pkg.dir("Plots", "deps", "plotly-latest.min.js")
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_js_code = open(readall, _js_path, "r")
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# borrowed from https://github.com/plotly/plotly.py/blob/2594076e29584ede2d09f2aa40a8a195b3f3fc66/plotly/offline/offline.py#L64-L71 c/o @spencerlyon2
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_js_script = """
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<script type='text/javascript'>
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define('plotly', function(require, exports, module) {
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$(_js_code)
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});
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require(['plotly'], function(Plotly) {
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window.Plotly = Plotly;
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});
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</script>
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"""
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# if we're in IJulia call setupnotebook to load js and css
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if isijulia()
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display("text/html", _js_script)
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end
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# if isatom()
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# import Atom
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# Atom.@msg evaljs(_js_code)
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# end
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end
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# TODO: other initialization
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end
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# ---------------------------------------------------------------------------
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# function _create_plot(pkg::PlotlyBackend, d::KW)
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# # TODO: create the window/canvas/context that is the plot within the backend (call it `o`)
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# # TODO: initialize the plot... title, xlabel, bgcolor, etc
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# Plot(nothing, pkg, 0, d, KW[])
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# end
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# function _series_added(::PlotlyBackend, plt::Plot, d::KW)
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# # TODO: add one series to the underlying package
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# push!(plt.seriesargs, d)
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# plt
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# end
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# function _add_annotations{X,Y,V}(plt::Plot{PlotlyBackend}, anns::AVec{@compat(Tuple{X,Y,V})})
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# # set or add to the annotation_list
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# if haskey(plt.attr, :annotation_list)
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# append!(plt.attr[:annotation_list], anns)
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# else
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# plt.attr[:annotation_list] = anns
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# end
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# end
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# ----------------------------------------------------------------
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# function _before_update_plot(plt::Plot{PlotlyBackend})
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# end
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#
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# # TODO: override this to update plot items (title, xlabel, etc) after creation
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# function _update_plot(plt::Plot{PlotlyBackend}, d::KW)
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# end
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# function _update_plot_pos_size(plt::AbstractPlot{PlotlyBackend}, d::KW)
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# end
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# ----------------------------------------------------------------
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# accessors for x/y data
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# function getxy(plt::Plot{PlotlyBackend}, i::Int)
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# d = plt.seriesargs[i]
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# d[:x], d[:y]
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# end
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#
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# function setxy!{X,Y}(plt::Plot{PlotlyBackend}, xy::Tuple{X,Y}, i::Integer)
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# d = plt.seriesargs[i]
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# d[:x], d[:y] = xy
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# plt
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# end
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# ----------------------------------------------------------------
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# function _create_subplot(subplt::Subplot{PlotlyBackend}, isbefore::Bool)
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# # TODO: build the underlying Subplot object. this is where you might layout the panes within a GUI window, for example
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# true
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# end
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# function _expand_limits(lims, plt::Plot{PlotlyBackend}, isx::Bool)
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# # TODO: call expand limits for each plot data
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# end
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#
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# function _remove_axis(plt::Plot{PlotlyBackend}, isx::Bool)
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# # TODO: if plot is inner subplot, might need to remove ticks or axis labels
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# end
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# ----------------------------------------------------------------
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function plotlyfont(font::Font, color = font.color)
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KW(
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:family => font.family,
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:size => round(Int, font.pointsize*1.4),
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:color => webcolor(color),
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)
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end
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function get_annotation_dict(x, y, val::Union{AbstractString,Symbol})
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KW(
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:text => val,
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:xref => "x",
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:x => x,
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:yref => "y",
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:y => y,
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:showarrow => false,
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)
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end
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function get_annotation_dict(x, y, ptxt::PlotText)
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merge(get_annotation_dict(x, y, ptxt.str), KW(
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:font => plotlyfont(ptxt.font),
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:xanchor => ptxt.font.halign == :hcenter ? :center : ptxt.font.halign,
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:yanchor => ptxt.font.valign == :vcenter ? :middle : ptxt.font.valign,
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:rotation => ptxt.font.rotation,
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))
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end
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# function get_annotation_dict_for_arrow(d::KW, xyprev::Tuple, xy::Tuple, a::Arrow)
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# xdiff = xyprev[1] - xy[1]
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# ydiff = xyprev[2] - xy[2]
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# dist = sqrt(xdiff^2 + ydiff^2)
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# KW(
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# :showarrow => true,
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# :x => xy[1],
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# :y => xy[2],
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# # :ax => xyprev[1] - xy[1],
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# # :ay => xy[2] - xyprev[2],
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# # :ax => 0,
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# # :ay => -40,
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# :ax => 10xdiff / dist,
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# :ay => -10ydiff / dist,
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# :arrowcolor => webcolor(d[:linecolor], d[:linealpha]),
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# :xref => "x",
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# :yref => "y",
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# :arrowsize => 10a.headwidth,
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# # :arrowwidth => a.headlength,
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# :arrowwidth => 0.1,
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# )
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# end
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function plotlyscale(scale::Symbol)
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if scale == :log10
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"log"
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else
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"-"
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end
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end
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use_axis_field(ticks) = !(ticks in (nothing, :none))
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# this method gets the start/end in percentage of the canvas for this axis direction
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function plotly_domain(sp::Subplot, letter)
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figw, figh = sp.plt.attr[:size]
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# @show letter,figw,figh sp.plotarea
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pcts = bbox_to_pcts(sp.plotarea, figw*px, figh*px)
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# @show pcts
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i1,i2 = (letter == :x ? (1,3) : (2,4))
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# @show i1,i2
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[pcts[i1], pcts[i1]+pcts[i2]]
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end
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# TODO: this should actually take into account labels, font sizes, etc
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# sets (left, top, right, bottom)
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function plotly_minpad(sp::Subplot)
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(12mm, 2mm, 2mm, 8mm)
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end
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function _update_min_padding!(sp::Subplot{PlotlyBackend})
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sp.minpad = plotly_minpad(sp)
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end
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# tickssym(letter) = symbol(letter * "ticks")
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# limssym(letter) = symbol(letter * "lims")
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# flipsym(letter) = symbol(letter * "flip")
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# scalesym(letter) = symbol(letter * "scale")
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# labelsym(letter) = symbol(letter * "label")
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# rotationsym(letter) = symbol(letter * "rotation")
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function plotly_axis(axis::Axis, sp::Subplot)
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letter = axis[:letter]
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d = axis.d
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ax = KW(
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:title => d[:guide],
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:showgrid => sp.attr[:grid],
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:zeroline => false,
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)
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# fgcolor = webcolor(d[:foreground_color])
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# tsym = tickssym(letter)
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# spidx = sp.attr[:subplot_index]
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# d_out[:xaxis] = "x$spidx"
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# d_out[:yaxis] = "y$spidx"
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if letter in (:x,:y)
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ax[:domain] = plotly_domain(sp, letter)
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ax[:anchor] = "$(letter==:x ? :y : :x)$(plotly_subplot_index(sp))"
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end
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rot = d[:rotation]
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if rot != 0
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ax[:tickangle] = rot
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end
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if use_axis_field(d[:ticks])
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ax[:titlefont] = plotlyfont(d[:guidefont], webcolor(d[:foreground_color_guide]))
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ax[:type] = plotlyscale(d[:scale])
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ax[:tickfont] = plotlyfont(d[:tickfont], webcolor(d[:foreground_color_text]))
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ax[:tickcolor] = webcolor(d[:foreground_color_border])
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ax[:linecolor] = webcolor(d[:foreground_color_border])
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# lims
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lims = d[:lims]
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if lims != :auto && limsType(lims) == :limits
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ax[:range] = lims
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end
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# flip
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if d[:flip]
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ax[:autorange] = "reversed"
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end
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# ticks
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ticks = d[:ticks]
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if ticks != :auto
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ttype = ticksType(ticks)
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if ttype == :ticks
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ax[:tickmode] = "array"
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ax[:tickvals] = ticks
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elseif ttype == :ticks_and_labels
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ax[:tickmode] = "array"
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ax[:tickvals], ax[:ticktext] = ticks
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end
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end
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else
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ax[:showticklabels] = false
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ax[:showgrid] = false
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end
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ax
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end
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# function plotly_layout_json(plt::Plot{PlotlyBackend})
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# d = plt.attr
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# function plotly_layout(d::KW, seriesargs::AVec{KW})
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function plotly_layout(plt::Plot)
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d_out = KW()
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# # for now, we only support 1 subplot
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# if length(plt.subplots) > 1
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# warn("Subplots not supported yet")
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# end
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# sp = plt.subplots[1]
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d_out[:width], d_out[:height] = plt.attr[:size]
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d_out[:paper_bgcolor] = webcolor(plt.attr[:background_color_outside])
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for sp in plt.subplots
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sp_out = KW()
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spidx = plotly_subplot_index(sp)
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# set the fields for the plot
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d_out[:title] = sp.attr[:title]
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d_out[:titlefont] = plotlyfont(sp.attr[:titlefont], webcolor(sp.attr[:foreground_color_title]))
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# # TODO: use subplot positioning logic
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# d_out[:margin] = KW(:l=>35, :b=>30, :r=>8, :t=>20)
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d_out[:margin] = KW(:l=>0, :b=>0, :r=>0, :t=>30)
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d_out[:plot_bgcolor] = webcolor(sp.attr[:background_color_inside])
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# TODO: x/y axis tick values/labels
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# if any(is3d, seriesargs)
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if is3d(sp)
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d_out[:scene] = KW(
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symbol("xaxis$spidx") => plotly_axis(sp.attr[:xaxis], sp),
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symbol("yaxis$spidx") => plotly_axis(sp.attr[:yaxis], sp),
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symbol("zaxis$spidx") => plotly_axis(sp.attr[:zaxis], sp),
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)
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else
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d_out[symbol("xaxis$spidx")] = plotly_axis(sp.attr[:xaxis], sp)
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d_out[symbol("yaxis$spidx")] = plotly_axis(sp.attr[:yaxis], sp)
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end
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# legend
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d_out[:showlegend] = sp.attr[:legend] != :none
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if sp.attr[:legend] != :none
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d_out[:legend] = KW(
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:bgcolor => webcolor(sp.attr[:background_color_legend]),
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:bordercolor => webcolor(sp.attr[:foreground_color_legend]),
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:font => plotlyfont(sp.attr[:legendfont]),
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)
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end
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# annotations
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anns = get(sp.attr, :annotations, [])
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d_out[:annotations] = if isempty(anns)
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KW[]
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else
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KW[get_annotation_dict(ann...) for ann in anns]
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end
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# # arrows
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# for sargs in seriesargs
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# a = sargs[:arrow]
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# if sargs[:seriestype] in (:path, :line) && typeof(a) <: Arrow
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# add_arrows(sargs[:x], sargs[:y]) do xyprev, xy
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# push!(d_out[:annotations], get_annotation_dict_for_arrow(sargs, xyprev, xy, a))
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# end
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# end
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# end
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# dumpdict(d_out,"",true)
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# @show d_out[:annotations]
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if ispolar(sp)
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d_out[:direction] = "counterclockwise"
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end
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d_out
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end
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d_out
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end
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function plotly_layout_json(plt::Plot)
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JSON.json(plotly_layout(plt))
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end
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function plotly_colorscale(grad::ColorGradient, alpha = nothing)
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[[grad.values[i], webcolor(grad.colors[i], alpha)] for i in 1:length(grad.colors)]
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end
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plotly_colorscale(c, alpha = nothing) = plotly_colorscale(default_gradient(), alpha)
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const _plotly_markers = KW(
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:rect => "square",
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:xcross => "x",
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:utriangle => "triangle-up",
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:dtriangle => "triangle-down",
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:star5 => "star-triangle-up",
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:vline => "line-ns",
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:hline => "line-ew",
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)
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function plotly_subplot_index(sp::Subplot)
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spidx = sp.attr[:subplot_index]
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spidx == 1 ? "" : spidx
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end
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# get a dictionary representing the series params (d is the Plots-dict, d_out is the Plotly-dict)
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function plotly_series(plt::Plot, series::Series)
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d = series.d
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sp = d[:subplot]
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d_out = KW()
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# these are the axes that the series should be mapped to
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spidx = plotly_subplot_index(sp)
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d_out[:xaxis] = "x$spidx"
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d_out[:yaxis] = "y$spidx"
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x, y = collect(d[:x]), collect(d[:y])
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d_out[:name] = d[:label]
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st = d[:seriestype]
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isscatter = st in (:scatter, :scatter3d)
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hasmarker = isscatter || d[:markershape] != :none
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hasline = !isscatter
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# set the "type"
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if st in (:line, :path, :scatter, :steppre, :steppost)
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d_out[:type] = "scatter"
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d_out[:mode] = if hasmarker
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hasline ? "lines+markers" : "markers"
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else
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hasline ? "lines" : "none"
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end
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if d[:fillrange] == true || d[:fillrange] == 0
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d_out[:fill] = "tozeroy"
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d_out[:fillcolor] = webcolor(d[:fillcolor], d[:fillalpha])
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elseif !(d[:fillrange] in (false, nothing))
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warn("fillrange ignored... plotly only supports filling to zero. fillrange: $(d[:fillrange])")
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end
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d_out[:x], d_out[:y] = x, y
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elseif st == :bar
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d_out[:type] = "bar"
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d_out[:x], d_out[:y] = x, y
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elseif st == :hist2d
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d_out[:type] = "histogram2d"
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d_out[:x], d_out[:y] = x, y
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if isa(d[:bins], Tuple)
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xbins, ybins = d[:bins]
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else
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xbins = ybins = d[:bins]
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end
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d_out[:nbinsx] = xbins
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d_out[:nbinsy] = ybins
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elseif st in (:hist, :density)
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d_out[:type] = "histogram"
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isvert = isvertical(d)
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d_out[isvert ? :x : :y] = y
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d_out[isvert ? :nbinsx : :nbinsy] = d[:bins]
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if st == :density
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d_out[:histnorm] = "probability density"
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end
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elseif st == :heatmap
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d_out[:type] = "heatmap"
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d_out[:x], d_out[:y] = x, y
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d_out[:z] = d[:z].surf
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d_out[:colorscale] = plotly_colorscale(d[:fillcolor], d[:fillalpha])
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elseif st == :contour
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d_out[:type] = "contour"
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d_out[:x], d_out[:y] = x, y
|
|
d_out[:z] = d[:z].surf
|
|
# d_out[:showscale] = d[:colorbar] != :none
|
|
d_out[:ncontours] = d[:levels]
|
|
d_out[:contours] = KW(:coloring => d[:fillrange] != nothing ? "fill" : "lines")
|
|
d_out[:colorscale] = plotly_colorscale(d[:linecolor], d[:linealpha])
|
|
|
|
elseif st in (:surface, :wireframe)
|
|
d_out[:type] = "surface"
|
|
d_out[:x], d_out[:y] = x, y
|
|
d_out[:z] = d[:z].surf
|
|
d_out[:colorscale] = plotly_colorscale(d[:fillcolor], d[:fillalpha])
|
|
|
|
elseif st == :pie
|
|
d_out[:type] = "pie"
|
|
d_out[:labels] = if haskey(d,:x_discrete_indices)
|
|
dvals = sp.attr[:xaxis].d[:discrete_values]
|
|
[dvals[idx] for idx in d[:x_discrete_indices]]
|
|
else
|
|
d[:x]
|
|
end
|
|
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] = collect(d[:z])
|
|
|
|
else
|
|
warn("Plotly: seriestype $st isn't supported.")
|
|
return KW()
|
|
end
|
|
|
|
# add "marker"
|
|
if hasmarker
|
|
d_out[:marker] = KW(
|
|
:symbol => get(_plotly_markers, d[:markershape], string(d[:markershape])),
|
|
:opacity => d[:markeralpha],
|
|
:size => 2 * d[:markersize],
|
|
:color => webcolor(d[:markercolor], d[:markeralpha]),
|
|
:line => KW(
|
|
:color => webcolor(d[:markerstrokecolor], d[:markerstrokealpha]),
|
|
:width => d[:markerstrokewidth],
|
|
),
|
|
)
|
|
|
|
# gotta hack this (for now?) since plotly can't handle rgba values inside the gradient
|
|
if d[:marker_z] != nothing
|
|
# d_out[:marker][:color] = d[:marker_z]
|
|
# d_out[:marker][:colorscale] = plotly_colorscale(d[:markercolor], d[:markeralpha])
|
|
# d_out[:showscale] = true
|
|
grad = ColorGradient(d[:markercolor], alpha=d[:markeralpha])
|
|
zmin, zmax = extrema(d[:marker_z])
|
|
d_out[:marker][:color] = [webcolor(getColorZ(grad, (zi - zmin) / (zmax - zmin))) for zi in d[:marker_z]]
|
|
end
|
|
end
|
|
|
|
# add "line"
|
|
if hasline
|
|
d_out[:line] = KW(
|
|
:color => webcolor(d[:linecolor], d[:linealpha]),
|
|
:width => d[:linewidth],
|
|
:shape => if st == :steppre
|
|
"vh"
|
|
elseif st == :steppost
|
|
"hv"
|
|
else
|
|
"linear"
|
|
end,
|
|
:dash => string(d[:linestyle]),
|
|
# :dash => "solid",
|
|
)
|
|
end
|
|
|
|
# convert polar plots x/y to theta/radius
|
|
if ispolar(d[:subplot])
|
|
d_out[:t] = rad2deg(pop!(d_out, :x))
|
|
d_out[:r] = pop!(d_out, :y)
|
|
end
|
|
|
|
d_out
|
|
end
|
|
|
|
# get a list of dictionaries, each representing the series params
|
|
function plotly_series_json(plt::Plot)
|
|
JSON.json(map(series -> plotly_series(plt, series), plt.series_list))
|
|
end
|
|
|
|
# ----------------------------------------------------------------
|
|
|
|
function html_head(plt::AbstractPlot{PlotlyBackend})
|
|
"<script src=\"$(Pkg.dir("Plots","deps","plotly-latest.min.js"))\"></script>"
|
|
end
|
|
|
|
function html_body(plt::Plot{PlotlyBackend}, style = nothing)
|
|
if style == nothing
|
|
w, h = plt.attr[:size]
|
|
style = "width:$(w)px;height:$(h)px;"
|
|
end
|
|
uuid = Base.Random.uuid4()
|
|
html = """
|
|
<div id=\"$(uuid)\" style=\"$(style)\"></div>
|
|
<script>
|
|
PLOT = document.getElementById('$(uuid)');
|
|
Plotly.plot(PLOT, $(plotly_series_json(plt)), $(plotly_layout_json(plt)));
|
|
</script>
|
|
"""
|
|
html
|
|
end
|
|
|
|
function js_body(plt::Plot{PlotlyBackend}, uuid)
|
|
js = """
|
|
PLOT = document.getElementById('$(uuid)');
|
|
Plotly.plot(PLOT, $(plotly_series_json(plt)), $(plotly_layout_json(plt)));
|
|
"""
|
|
end
|
|
|
|
|
|
# ----------------------------------------------------------------
|
|
|
|
# compute layout bboxes
|
|
function plotly_finalize(plt::Plot)
|
|
w, h = plt.attr[:size]
|
|
plt.layout.bbox = BoundingBox(0mm, 0mm, w*px, h*px)
|
|
update_child_bboxes!(plt.layout)
|
|
end
|
|
|
|
function Base.writemime(io::IO, ::MIME"image/png", plt::AbstractPlot{PlotlyBackend})
|
|
plotly_finalize(plt)
|
|
writemime_png_from_html(io, plt)
|
|
end
|
|
|
|
function Base.writemime(io::IO, ::MIME"text/html", plt::AbstractPlot{PlotlyBackend})
|
|
plotly_finalize(plt)
|
|
write(io, html_head(plt) * html_body(plt))
|
|
end
|
|
|
|
function Base.display(::PlotsDisplay, plt::AbstractPlot{PlotlyBackend})
|
|
plotly_finalize(plt)
|
|
standalone_html_window(plt)
|
|
end
|