Compare commits
63 Commits
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| bde415edd7 |
@@ -11,6 +11,22 @@
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---
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## (current master)
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## 0.17.2
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- fix single subplot in plotly
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- implement `(xyz)lims = :round`
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- PyPlot: fix bg_legend = invisible()
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- set fallback tick specification for axes with discrete values
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- restructure of show methods
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## 0.17.1
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- Fix contour for PGFPlots
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- 32Bit fix: Int64 -> Int
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- Make series of shapes and segments toggle together in Plotly(JS)
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- Fix marker arguments
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- Fix processing order of series recipes
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- Fix Plotly(JS) ribbon
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- Contour plots with x,y in grid form on PyPlot
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## 0.17.0
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- Add GR dependency to make it the default backend
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- Improve histogram2d bin estimation
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+1
-1
@@ -110,7 +110,7 @@ const _arg_desc = KW(
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# axis args
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:guide => "String. Axis guide (label).",
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:lims => "NTuple{2,Number}. Force axis limits. Only finite values are used (you can set only the right limit with `xlims = (-Inf, 2)` for example).",
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:lims => "NTuple{2,Number} or Symbol. Force axis limits. Only finite values are used (you can set only the right limit with `xlims = (-Inf, 2)` for example). `:round` widens the limit to the nearest round number ie. [0.1,3.6]=>[0.0,4.0]",
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:ticks => "Vector of numbers (set the tick values), Tuple of (tickvalues, ticklabels), or `:auto`",
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:scale => "Symbol. Scale of the axis: `:none`, `:ln`, `:log2`, `:log10`",
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:rotation => "Number. Degrees rotation of tick labels.",
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+28
-17
@@ -1473,26 +1473,19 @@ function _replace_linewidth(d::KW)
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end
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function _add_defaults!(d::KW, plt::Plot, sp::Subplot, commandIndex::Int)
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pkg = plt.backend
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globalIndex = d[:series_plotindex]
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# add default values to our dictionary, being careful not to delete what we just added!
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for (k,v) in _series_defaults
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slice_arg!(d, d, k, v, commandIndex, false)
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end
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# this is how many series belong to this subplot
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# plotIndex = count(series -> series.d[:subplot] === sp && series.d[:primary], plt.series_list)
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plotIndex = 0
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for series in sp.series_list
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if series[:primary]
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plotIndex += 1
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end
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end
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# plotIndex = count(series -> series[:primary], sp.series_list)
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if get(d, :primary, true)
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plotIndex += 1
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end
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return d
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end
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function _update_series_attributes!(d::KW, plt::Plot, sp::Subplot)
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pkg = plt.backend
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globalIndex = d[:series_plotindex]
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plotIndex = _series_index(d, sp)
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aliasesAndAutopick(d, :linestyle, _styleAliases, supported_styles(pkg), plotIndex)
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aliasesAndAutopick(d, :markershape, _markerAliases, supported_markers(pkg), plotIndex)
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@@ -1528,9 +1521,11 @@ function _add_defaults!(d::KW, plt::Plot, sp::Subplot, commandIndex::Int)
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# update markerstrokecolor
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d[:markerstrokecolor] = if d[:markerstrokecolor] == :match
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plot_color(sp[:foreground_color_subplot], d[:markerstrokealpha])
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plot_color(sp[:foreground_color_subplot])
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elseif d[:markerstrokecolor] == :auto
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getSeriesRGBColor.(d[:markercolor], sp, plotIndex)
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else
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getSeriesRGBColor(plot_color(d[:markerstrokecolor], d[:markerstrokealpha]), sp, plotIndex)
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getSeriesRGBColor.(d[:markerstrokecolor], sp, plotIndex)
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end
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# if marker_z, fill_z or line_z are set, ensure we have a gradient
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@@ -1560,3 +1555,19 @@ function _add_defaults!(d::KW, plt::Plot, sp::Subplot, commandIndex::Int)
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_replace_linewidth(d)
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d
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end
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function _series_index(d, sp)
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idx = 0
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for series in series_list(sp)
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if series[:primary]
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idx += 1
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end
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if series == d
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return idx
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end
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end
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if get(d, :primary, true)
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idx += 1
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end
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return idx
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end
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+27
-15
@@ -246,19 +246,17 @@ function get_ticks(axis::Axis)
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ticks = ticks == :native ? :auto : ticks
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dvals = axis[:discrete_values]
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cv, dv = if !isempty(dvals)
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# discrete ticks...
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n = length(dvals)
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rng = if ticks == :auto
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Int[round(Int,i) for i in linspace(1, n, 15)]
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elseif ticks == :all
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1:n
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elseif typeof(ticks) <: Int
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Int[round(Int,i) for i in linspace(1, n, ticks)]
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end
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axis[:continuous_values][rng], dvals[rng]
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elseif typeof(ticks) <: Symbol
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if ispolar(axis.sps[1]) && axis[:letter] == :x
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cv, dv = if typeof(ticks) <: Symbol
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if !isempty(dvals)
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# discrete ticks...
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n = length(dvals)
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rng = if ticks == :auto
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Int[round(Int,i) for i in linspace(1, n, 15)]
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else # if ticks == :all
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1:n
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end
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axis[:continuous_values][rng], dvals[rng]
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elseif ispolar(axis.sps[1]) && axis[:letter] == :x
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#force theta axis to be full circle
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(collect(0:pi/4:7pi/4), string.(0:45:315))
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else
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@@ -266,8 +264,13 @@ function get_ticks(axis::Axis)
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optimal_ticks_and_labels(axis)
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end
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elseif typeof(ticks) <: Union{AVec, Int}
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# override ticks, but get the labels
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optimal_ticks_and_labels(axis, ticks)
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if !isempty(dvals) && typeof(ticks) <: Int
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rng = Int[round(Int,i) for i in linspace(1, length(dvals), ticks)]
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axis[:continuous_values][rng], dvals[rng]
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else
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# override ticks, but get the labels
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optimal_ticks_and_labels(axis, ticks)
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end
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elseif typeof(ticks) <: NTuple{2, Any}
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# assuming we're passed (ticks, labels)
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ticks
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@@ -438,6 +441,13 @@ function default_should_widen(axis::Axis)
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should_widen
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end
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function round_limits(amin,amax)
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scale = 10^(1-round(log10(amax - amin)))
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amin = floor(amin*scale)/scale
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amax = ceil(amax*scale)/scale
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amin, amax
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end
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# using the axis extrema and limit overrides, return the min/max value for this axis
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function axis_limits(axis::Axis, should_widen::Bool = default_should_widen(axis))
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ex = axis[:extrema]
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@@ -468,6 +478,8 @@ function axis_limits(axis::Axis, should_widen::Bool = default_should_widen(axis)
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end
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elseif should_widen
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widen(amin, amax)
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elseif lims == :round
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round_limits(amin,amax)
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else
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amin, amax
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end
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+5
-16
@@ -353,25 +353,18 @@ function gr_draw_markers(series::Series, x, y, msize, mz)
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msi = _cycle(msize, i)
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shape = _cycle(shapes, i)
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cfunc = isa(shape, Shape) ? gr_set_fillcolor : gr_set_markercolor
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cfuncind = isa(shape, Shape) ? GR.setfillcolorind : GR.setmarkercolorind
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# draw a filled in shape, slightly bigger, to estimate a stroke
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if series[:markerstrokewidth] > 0
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cfunc(_cycle(series[:markerstrokecolor], i)) #, series[:markerstrokealpha])
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cfunc(get_markerstrokecolor(series, i))
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gr_set_transparency(get_markerstrokealpha(series, i))
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gr_draw_marker(x[i], y[i], msi + series[:markerstrokewidth], shape)
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end
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# draw the shape
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if mz == nothing
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cfunc(_cycle(series[:markercolor], i)) #, series[:markeralpha])
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else
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# pick a color from the pre-loaded gradient
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ci = round(Int, 1000 + _cycle(mz, i) * 255)
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cfuncind(ci)
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gr_set_transparency(_gr_gradient_alpha[ci-999])
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end
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# don't draw filled area if marker shape is 1D
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# draw the shape - don't draw filled area if marker shape is 1D
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if !(shape in (:hline, :vline, :+, :x))
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cfunc(get_markercolor(series, i))
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gr_set_transparency(get_markeralpha(series, i))
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gr_draw_marker(x[i], y[i], msi, shape)
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end
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end
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@@ -1046,10 +1039,6 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
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end
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if series[:markershape] != :none
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if series[:marker_z] != nothing
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zmin, zmax = extrema(series[:marker_z])
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GR.setspace(zmin, zmax, 0, 90)
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end
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gr_draw_markers(series, x, y, clims)
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end
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+11
-4
@@ -167,6 +167,7 @@ function _initialize_backend(::HDF5Backend)
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# "PLOTTEXT" => PlotText,
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"COLORGRADIENT" => ColorGradient,
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"AXIS" => Axis,
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"SURFACE" => Surface,
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"SUBPLOT" => Subplot,
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"NULLABLE" => Nullable,
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)
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@@ -239,10 +240,6 @@ end
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# ----------------------------------------------------------------
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_show(io::IO, mime::MIME"text/plain", plt::Plot{HDF5Backend}) = nothing #Don't show
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# ----------------------------------------------------------------
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# Display/show the plot (open a GUI window, or browser page, for example).
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function _display(plt::Plot{HDF5Backend})
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msg = "HDF5 interface does not support `display()` function."
|
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@@ -407,6 +404,11 @@ function _hdf5plot_gwrite(grp, k::String, v::Axis)
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_hdf5plot_writetype(grp, Axis)
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return
|
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end
|
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function _hdf5plot_gwrite(grp, k::String, v::Surface)
|
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grp = HDF5.g_create(grp, k)
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_hdf5plot_gwrite(grp, "data2d", v.surf)
|
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_hdf5plot_writetype(grp, Surface)
|
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end
|
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#TODO: "Properly" support Nullable using _hdf5plot_writetype?
|
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function _hdf5plot_gwrite(grp, k::String, v::Nullable)
|
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if isnull(v)
|
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@@ -577,6 +579,11 @@ function _hdf5plot_read(grp, k::String, T::Type{Axis}, dtid)
|
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_hdf5plot_read(grp, kwlist)
|
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return Axis([], kwlist)
|
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end
|
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function _hdf5plot_read(grp, k::String, T::Type{Surface}, dtid)
|
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grp = HDF5.g_open(grp, k)
|
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data2d = _hdf5plot_read(grp, "data2d")
|
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return Surface(data2d)
|
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end
|
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function _hdf5plot_read(grp, k::String, T::Type{Subplot}, dtid)
|
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grp = HDF5.g_open(grp, k)
|
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idx = _hdf5plot_read(grp, "index")
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|
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@@ -523,7 +523,6 @@ for (mime, fmt) in _inspectdr_mimeformats_nodpi
|
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_inspectdr_show(io, mime, _inspectdr_getmplot(plt.o), plt[:size]...)
|
||||
end
|
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end
|
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_show(io::IO, mime::MIME"text/plain", plt::Plot{InspectDRBackend}) = nothing #Don't show
|
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|
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# ----------------------------------------------------------------
|
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|
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|
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+10
-14
@@ -27,7 +27,7 @@ const _pgfplots_attr = merge_with_base_supported([
|
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:tickfont, :guidefont, :legendfont,
|
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:grid, :legend,
|
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:colorbar,
|
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:fill_z, :line_z, :marker_z, #:levels,
|
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:fill_z, :line_z, :marker_z, :levels,
|
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# :ribbon, :quiver, :arrow,
|
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# :orientation,
|
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# :overwrite_figure,
|
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@@ -38,6 +38,7 @@ const _pgfplots_attr = merge_with_base_supported([
|
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:tick_direction,
|
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:framestyle,
|
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:camera,
|
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:contour_labels,
|
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])
|
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const _pgfplots_seriestype = [:path, :path3d, :scatter, :steppre, :stepmid, :steppost, :histogram2d, :ysticks, :xsticks, :contour, :shape, :straightline,]
|
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const _pgfplots_style = [:auto, :solid, :dash, :dot, :dashdot, :dashdotdot]
|
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@@ -172,14 +173,8 @@ end
|
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|
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function pgf_marker(d, i = 1)
|
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shape = _cycle(d[:markershape], i)
|
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cstr, a = pgf_color(_cycle(d[:markercolor], i))
|
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if d[:markeralpha] != nothing
|
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a = _cycle(d[:markeralpha], i)
|
||||
end
|
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cstr_stroke, a_stroke = pgf_color(_cycle(d[:markerstrokecolor], i))
|
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if d[:markerstrokealpha] != nothing
|
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a_stroke = _cycle(d[:markerstrokealpha], i)
|
||||
end
|
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cstr, a = pgf_color(plot_color(get_markercolor(d, i), get_markeralpha(d, i)))
|
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cstr_stroke, a_stroke = pgf_color(plot_color(get_markerstrokecolor(d, i), get_markerstrokealpha(d, i)))
|
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"""
|
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mark = $(get(_pgfplots_markers, shape, "*")),
|
||||
mark size = $(0.5 * _cycle(d[:markersize], i)),
|
||||
@@ -221,10 +216,6 @@ function pgf_series(sp::Subplot, series::Series)
|
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straightline_data(series)
|
||||
elseif st == :shape
|
||||
shape_data(series)
|
||||
elseif d[:marker_z] != nothing
|
||||
# If a marker_z is used pass it as third coordinate to a 2D plot.
|
||||
# See "Scatter Plots" in PGFPlots documentation
|
||||
d[:x], d[:y], d[:marker_z]
|
||||
elseif ispolar(sp)
|
||||
theta, r = filter_radial_data(d[:x], d[:y], axis_limits(sp[:yaxis]))
|
||||
rad2deg.(theta), r
|
||||
@@ -250,6 +241,8 @@ function pgf_series(sp::Subplot, series::Series)
|
||||
func = if st == :histogram2d
|
||||
PGFPlots.Histogram2
|
||||
else
|
||||
kw[:labels] = series[:contour_labels]
|
||||
kw[:levels] = series[:levels]
|
||||
PGFPlots.Contour
|
||||
end
|
||||
push!(series_collection, func(args...; kw...))
|
||||
@@ -509,7 +502,10 @@ function _update_plot_object(plt::Plot{PGFPlotsBackend})
|
||||
kw[:legendPos] = _pgfplots_legend_pos[legpos]
|
||||
end
|
||||
|
||||
if is3d(sp)
|
||||
if any(s[:seriestype] == :contour for s in series_list(sp))
|
||||
kw[:view] = "{0}{90}"
|
||||
kw[:colorbar] = !(sp[:colorbar] in (:none, :off, :hide, false))
|
||||
elseif is3d(sp)
|
||||
azim, elev = sp[:camera]
|
||||
kw[:view] = "{$(azim)}{$(elev)}"
|
||||
end
|
||||
|
||||
+85
-75
@@ -264,7 +264,10 @@ function plotly_axis(plt::Plot, axis::Axis, sp::Subplot)
|
||||
|
||||
ax[:tickangle] = -axis[:rotation]
|
||||
lims = axis_limits(axis)
|
||||
axis[:ticks] != :native ? ax[:range] = map(scalefunc(axis[:scale]), lims) : nothing
|
||||
|
||||
if axis[:ticks] != :native || axis[:lims] != :auto
|
||||
ax[:range] = map(scalefunc(axis[:scale]), lims)
|
||||
end
|
||||
|
||||
if !(axis[:ticks] in (nothing, :none, false))
|
||||
ax[:titlefont] = plotly_font(guidefont(axis))
|
||||
@@ -325,9 +328,11 @@ function plotly_layout(plt::Plot)
|
||||
|
||||
d_out[:annotations] = KW[]
|
||||
|
||||
multiple_subplots = length(plt.subplots) > 1
|
||||
|
||||
for sp in plt.subplots
|
||||
spidx = sp[:subplot_index]
|
||||
x_idx, y_idx = plotly_link_indicies(plt, sp)
|
||||
spidx = multiple_subplots ? sp[:subplot_index] : ""
|
||||
x_idx, y_idx = multiple_subplots ? plotly_link_indicies(plt, sp) : ("", "")
|
||||
# add an annotation for the title... positioned horizontally relative to plotarea,
|
||||
# but vertically just below the top of the subplot bounding box
|
||||
if sp[:title] != ""
|
||||
@@ -385,6 +390,7 @@ function plotly_layout(plt::Plot)
|
||||
:bgcolor => rgba_string(sp[:background_color_legend]),
|
||||
:bordercolor => rgba_string(sp[:foreground_color_legend]),
|
||||
:font => plotly_font(legendfont(sp)),
|
||||
:tracegroupgap => 0,
|
||||
:x => xpos,
|
||||
:y => ypos
|
||||
)
|
||||
@@ -485,6 +491,21 @@ function plotly_close_shapes(x, y)
|
||||
nanvcat(xs), nanvcat(ys)
|
||||
end
|
||||
|
||||
function plotly_data(series::Series, letter::Symbol, data)
|
||||
axis = series[:subplot][Symbol(letter, :axis)]
|
||||
|
||||
data = if axis[:ticks] == :native && data != nothing
|
||||
plotly_native_data(axis, data)
|
||||
else
|
||||
data
|
||||
end
|
||||
|
||||
if series[:seriestype] in (:heatmap, :contour, :surface, :wireframe)
|
||||
plotly_surface_data(series, data)
|
||||
else
|
||||
plotly_data(data)
|
||||
end
|
||||
end
|
||||
plotly_data(v) = v != nothing ? collect(v) : v
|
||||
plotly_data(surf::Surface) = surf.surf
|
||||
plotly_data(v::AbstractArray{R}) where {R<:Rational} = float(v)
|
||||
@@ -493,6 +514,28 @@ plotly_surface_data(series::Series, a::AbstractVector) = a
|
||||
plotly_surface_data(series::Series, a::AbstractMatrix) = transpose_z(series, a, false)
|
||||
plotly_surface_data(series::Series, a::Surface) = plotly_surface_data(series, a.surf)
|
||||
|
||||
function plotly_native_data(axis::Axis, data::AbstractArray)
|
||||
if !isempty(axis[:discrete_values])
|
||||
construct_categorical_data(data, axis)
|
||||
elseif axis[:formatter] in (datetimeformatter, dateformatter, timeformatter)
|
||||
plotly_convert_to_datetime(data, axis[:formatter])
|
||||
else
|
||||
data
|
||||
end
|
||||
end
|
||||
plotly_native_data(axis::Axis, a::Surface) = Surface(plotly_native_data(axis, a.surf))
|
||||
|
||||
function plotly_convert_to_datetime(x::AbstractArray, formatter::Function)
|
||||
if formatter == datetimeformatter
|
||||
map(xi -> replace(formatter(xi), "T", " "), x)
|
||||
elseif formatter == dateformatter
|
||||
map(xi -> string(formatter(xi), " 00:00:00"), x)
|
||||
elseif formatter == timeformatter
|
||||
map(xi -> string(Dates.Date(Dates.now()), " ", formatter(xi)), x)
|
||||
else
|
||||
error("Invalid DateTime formatter. Expected Plots.datetime/date/time formatter but got $formatter")
|
||||
end
|
||||
end
|
||||
#ensures that a gradient is called if a single color is supplied where a gradient is needed (e.g. if a series recipe defines marker_z)
|
||||
as_gradient(grad::ColorGradient, α) = grad
|
||||
as_gradient(grad, α) = cgrad(alpha = α)
|
||||
@@ -513,20 +556,17 @@ function plotly_series(plt::Plot, series::Series)
|
||||
d_out[:yaxis] = "y$(y_idx)"
|
||||
d_out[:showlegend] = should_add_to_legend(series)
|
||||
|
||||
|
||||
x, y, z = map(letter -> (axis = sp[Symbol(letter, :axis)];
|
||||
if axis[:ticks] == :native && !isempty(axis[:discrete_values])
|
||||
axis[:discrete_values]
|
||||
elseif st in (:heatmap, :contour, :surface, :wireframe)
|
||||
plotly_surface_data(series, series[letter])
|
||||
else
|
||||
plotly_data(series[letter])
|
||||
end), (:x, :y, :z))
|
||||
|
||||
if st == :straightline
|
||||
x, y = straightline_data(series)
|
||||
z = series[:z]
|
||||
else
|
||||
x, y, z = series[:x], series[:y], series[:z]
|
||||
end
|
||||
|
||||
x, y, z = (plotly_data(series, letter, data)
|
||||
for (letter, data) in zip((:x, :y, :z), (x, y, z))
|
||||
)
|
||||
|
||||
d_out[:name] = series[:label]
|
||||
|
||||
isscatter = st in (:scatter, :scatter3d, :scattergl)
|
||||
@@ -595,31 +635,17 @@ function plotly_series(plt::Plot, series::Series)
|
||||
|
||||
# add "marker"
|
||||
if hasmarker
|
||||
inds = eachindex(x)
|
||||
d_out[:marker] = KW(
|
||||
:symbol => get(_plotly_markers, series[:markershape], string(series[:markershape])),
|
||||
# :opacity => series[:markeralpha],
|
||||
:size => 2 * series[:markersize],
|
||||
# :color => rgba_string(series[:markercolor]),
|
||||
:size => 2 * _cycle(series[:markersize], inds),
|
||||
:color => rgba_string.(plot_color.(get_markercolor.(series, inds), get_markeralpha.(series, inds))),
|
||||
:line => KW(
|
||||
:color => _cycle(rgba_string.(series[:markerstrokecolor]),eachindex(series[:x])),
|
||||
:width => series[:markerstrokewidth],
|
||||
:color => rgba_string.(plot_color.(get_markerstrokecolor.(series, inds), get_markerstrokealpha.(series, inds))),
|
||||
:width => _cycle(series[:markerstrokewidth], inds),
|
||||
),
|
||||
)
|
||||
|
||||
# gotta hack this (for now?) since plotly can't handle rgba values inside the gradient
|
||||
if series[:marker_z] == nothing
|
||||
d_out[:marker][:color] = _cycle(rgba_string.(series[:markercolor]),eachindex(series[:x]))
|
||||
else
|
||||
# grad = ColorGradient(series[:markercolor], alpha=series[:markeralpha])
|
||||
# grad = as_gradient(series[:markercolor], series[:markeralpha])
|
||||
cmin, cmax = get_clims(sp)
|
||||
# zrange = zmax == zmin ? 1 : zmax - zmin # if all marker_z values are the same, plot all markers same color (avoids division by zero in next line)
|
||||
d_out[:marker][:color] = [clamp(zi, cmin, cmax) for zi in series[:marker_z]]
|
||||
d_out[:marker][:cmin] = cmin
|
||||
d_out[:marker][:cmax] = cmax
|
||||
d_out[:marker][:colorscale] = plotly_colorscale(series[:markercolor], series[:markeralpha])
|
||||
d_out[:marker][:showscale] = hascolorbar(sp)
|
||||
end
|
||||
end
|
||||
|
||||
plotly_polar!(d_out, series)
|
||||
@@ -637,18 +663,22 @@ function plotly_series_shapes(plt::Plot, series::Series)
|
||||
|
||||
# these are the axes that the series should be mapped to
|
||||
x_idx, y_idx = plotly_link_indicies(plt, series[:subplot])
|
||||
base_d = KW()
|
||||
base_d[:xaxis] = "x$(x_idx)"
|
||||
base_d[:yaxis] = "y$(y_idx)"
|
||||
base_d[:name] = series[:label]
|
||||
# base_d[:legendgroup] = series[:label]
|
||||
d_base = KW(
|
||||
:xaxis => "x$(x_idx)",
|
||||
:yaxis => "y$(y_idx)",
|
||||
:name => series[:label],
|
||||
:legendgroup => series[:label],
|
||||
)
|
||||
|
||||
x, y = (plotly_data(series, letter, data)
|
||||
for (letter, data) in zip((:x, :y), shape_data(series))
|
||||
)
|
||||
|
||||
x, y = shape_data(series)
|
||||
for (i,rng) in enumerate(segments)
|
||||
length(rng) < 2 && continue
|
||||
|
||||
# to draw polygons, we actually draw lines with fill
|
||||
d_out = merge(base_d, KW(
|
||||
d_out = merge(d_base, KW(
|
||||
:type => "scatter",
|
||||
:mode => "lines",
|
||||
:x => vcat(x[rng], x[rng[1]]),
|
||||
@@ -669,9 +699,11 @@ function plotly_series_shapes(plt::Plot, series::Series)
|
||||
d_outs[i] = d_out
|
||||
end
|
||||
if series[:fill_z] != nothing
|
||||
push!(d_outs, plotly_colorbar_hack(series, base_d, :fill))
|
||||
push!(d_outs, plotly_colorbar_hack(series, d_base, :fill))
|
||||
elseif series[:line_z] != nothing
|
||||
push!(d_outs, plotly_colorbar_hack(series, base_d, :line))
|
||||
push!(d_outs, plotly_colorbar_hack(series, d_base, :line))
|
||||
elseif series[:marker_z] != nothing
|
||||
push!(d_outs, plotly_colorbar_hack(series, d_base, :marker))
|
||||
end
|
||||
d_outs
|
||||
end
|
||||
@@ -689,10 +721,11 @@ function plotly_series_segments(series::Series, d_base::KW, x, y, z)
|
||||
d_outs = Vector{KW}((hasfillrange ? 2 : 1 ) * length(segments))
|
||||
|
||||
for (i,rng) in enumerate(segments)
|
||||
length(rng) < 2 && continue
|
||||
!isscatter && length(rng) < 2 && continue
|
||||
|
||||
d_out = deepcopy(d_base)
|
||||
d_out[:showlegend] = i==1 ? should_add_to_legend(series) : false
|
||||
d_out[:legendgroup] = series[:label]
|
||||
|
||||
# set the type
|
||||
if st in (:path, :scatter, :scattergl, :straightline)
|
||||
@@ -726,30 +759,15 @@ function plotly_series_segments(series::Series, d_base::KW, x, y, z)
|
||||
# add "marker"
|
||||
if hasmarker
|
||||
d_out[:marker] = KW(
|
||||
:symbol => get(_plotly_markers, series[:markershape], string(series[:markershape])),
|
||||
:symbol => get(_plotly_markers, _cycle(series[:markershape], i), string(_cycle(series[:markershape], i))),
|
||||
# :opacity => series[:markeralpha],
|
||||
:size => 2 * series[:markersize],
|
||||
# :color => rgba_string(series[:markercolor]),
|
||||
:size => 2 * _cycle(series[:markersize], i),
|
||||
:color => rgba_string(plot_color(get_markercolor(series, i), get_markeralpha(series, i))),
|
||||
:line => KW(
|
||||
:color => _cycle(rgba_string.(series[:markerstrokecolor]), eachindex(rng)),
|
||||
:width => series[:markerstrokewidth],
|
||||
:color => rgba_string(plot_color(get_markerstrokecolor(series, i), get_markerstrokealpha(series, i))),
|
||||
:width => _cycle(series[:markerstrokewidth], i),
|
||||
),
|
||||
)
|
||||
|
||||
# gotta hack this (for now?) since plotly can't handle rgba values inside the gradient
|
||||
if series[:marker_z] == nothing
|
||||
d_out[:marker][:color] = _cycle(rgba_string.(series[:markercolor]), eachindex(rng))
|
||||
else
|
||||
# grad = ColorGradient(series[:markercolor], alpha=series[:markeralpha])
|
||||
# grad = as_gradient(series[:markercolor], series[:markeralpha])
|
||||
cmin, cmax = get_clims(sp)
|
||||
# zrange = zmax == zmin ? 1 : zmax - zmin # if all marker_z values are the same, plot all markers same color (avoids division by zero in next line)
|
||||
d_out[:marker][:color] = [clamp(zi, cmin, cmax) for zi in _cycle(series[:marker_z], rng)]
|
||||
d_out[:marker][:cmin] = cmin
|
||||
d_out[:marker][:cmax] = cmax
|
||||
d_out[:marker][:colorscale] = plotly_colorscale(series[:markercolor], series[:markeralpha])
|
||||
d_out[:marker][:showscale] = hascolorbar(sp)
|
||||
end
|
||||
end
|
||||
|
||||
# add "line"
|
||||
@@ -791,8 +809,8 @@ function plotly_series_segments(series::Series, d_base::KW, x, y, z)
|
||||
else
|
||||
# if fillrange is a tuple with upper and lower limit, d_out_fillrange
|
||||
# is the series that will do the filling
|
||||
d_out_fillrange[:x], d_out_fillrange[:y] =
|
||||
concatenate_fillrange(x[rng], series[:fillrange][rng])
|
||||
fillrng = Tuple(series[:fillrange][i][rng] for i in 1:2)
|
||||
d_out_fillrange[:x], d_out_fillrange[:y] = concatenate_fillrange(x[rng], fillrng)
|
||||
d_out_fillrange[:line][:width] = 0
|
||||
delete!(d_out, :fill)
|
||||
delete!(d_out, :fillcolor)
|
||||
@@ -808,6 +826,8 @@ function plotly_series_segments(series::Series, d_base::KW, x, y, z)
|
||||
push!(d_outs, plotly_colorbar_hack(series, d_base, :line))
|
||||
elseif series[:fill_z] != nothing
|
||||
push!(d_outs, plotly_colorbar_hack(series, d_base, :fill))
|
||||
elseif series[:marker_z] != nothing
|
||||
push!(d_outs, plotly_colorbar_hack(series, d_base, :marker))
|
||||
end
|
||||
|
||||
d_outs
|
||||
@@ -904,17 +924,7 @@ end
|
||||
# ----------------------------------------------------------------
|
||||
|
||||
|
||||
function _show(io::IO, ::MIME"image/png", plt::Plot{PlotlyBackend})
|
||||
# show_png_from_html(io, plt)
|
||||
error("png output from the plotly backend is not supported. Please use plotlyjs instead.")
|
||||
end
|
||||
|
||||
function _show(io::IO, ::MIME"image/svg+xml", plt::Plot{PlotlyBackend})
|
||||
error("svg output from the plotly backend is not supported. Please use plotlyjs instead.")
|
||||
end
|
||||
|
||||
function Base.show(io::IO, ::MIME"text/html", plt::Plot{PlotlyBackend})
|
||||
prepare_output(plt)
|
||||
function _show(io::IO, ::MIME"text/html", plt::Plot{PlotlyBackend})
|
||||
write(io, html_head(plt) * html_body(plt))
|
||||
end
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
@require Revise begin
|
||||
Revise.track(Plots, joinpath(Pkg.dir("Plots"), "src", "backends", "plotlyjs.jl"))
|
||||
Revise.track(Plots, joinpath(Pkg.dir("Plots"), "src", "backends", "plotlyjs.jl"))
|
||||
end
|
||||
|
||||
# https://github.com/spencerlyon2/PlotlyJS.jl
|
||||
@@ -88,8 +88,7 @@ end
|
||||
|
||||
# ----------------------------------------------------------------
|
||||
|
||||
function Base.show(io::IO, ::MIME"text/html", plt::Plot{PlotlyJSBackend})
|
||||
prepare_output(plt)
|
||||
function _show(io::IO, ::MIME"text/html", plt::Plot{PlotlyJSBackend})
|
||||
if isijulia() && !_use_remote[]
|
||||
write(io, PlotlyJS.html_body(PlotlyJS.JupyterPlot(plt.o)))
|
||||
else
|
||||
|
||||
+24
-22
@@ -570,12 +570,12 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
if series[:markershape] != :none && st in (:path, :scatter, :path3d,
|
||||
:scatter3d, :steppre, :steppost,
|
||||
:bar)
|
||||
if series[:marker_z] == nothing
|
||||
extrakw[:c] = series[:markershape] in (:+, :x, :hline, :vline) ? py_markerstrokecolor(series) : py_color_fix(py_markercolor(series), x)
|
||||
markercolor = if any(typeof(series[arg]) <: AVec for arg in (:markercolor, :markeralpha)) || series[:marker_z] != nothing
|
||||
py_color(plot_color.(get_markercolor.(series, eachindex(x)), get_markeralpha.(series, eachindex(x))))
|
||||
else
|
||||
extrakw[:c] = convert(Vector{Float64}, series[:marker_z])
|
||||
extrakw[:cmap] = py_markercolormap(series)
|
||||
py_color(plot_color(series[:markercolor], series[:markeralpha]))
|
||||
end
|
||||
extrakw[:c] = py_color_fix(markercolor, x)
|
||||
xyargs = if st == :bar && !isvertical(series)
|
||||
(y, x)
|
||||
else
|
||||
@@ -591,11 +591,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
msc = py_markerstrokecolor(series)
|
||||
lw = py_dpi_scale(plt, series[:markerstrokewidth])
|
||||
for i=1:length(y)
|
||||
extrakw[:c] = if series[:marker_z] == nothing
|
||||
py_color_fix(py_color(_cycle(series[:markercolor],i)), x)
|
||||
else
|
||||
extrakw[:c]
|
||||
end
|
||||
extrakw[:c] = _cycle(markercolor, i)
|
||||
|
||||
push!(handle, ax[:scatter](_cycle(x,i), _cycle(y,i);
|
||||
label = series[:label],
|
||||
@@ -638,6 +634,12 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
|
||||
if st in (:contour, :contour3d)
|
||||
z = transpose_z(series, z.surf)
|
||||
if typeof(x)<:Plots.Surface
|
||||
x = Plots.transpose_z(series, x.surf)
|
||||
end
|
||||
if typeof(y)<:Plots.Surface
|
||||
y = Plots.transpose_z(series, y.surf)
|
||||
end
|
||||
|
||||
if st == :contour3d
|
||||
extrakw[:extend3d] = true
|
||||
@@ -1014,10 +1016,16 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
kw[:ticks] = locator
|
||||
kw[:format] = formatter
|
||||
kw[:boundaries] = vcat(0, kw[:values] + 0.5)
|
||||
elseif any(colorbar_series[attr] != nothing for attr in (:line_z, :fill_z))
|
||||
elseif any(colorbar_series[attr] != nothing for attr in (:line_z, :fill_z, :marker_z))
|
||||
cmin, cmax = get_clims(sp)
|
||||
norm = pycolors[:Normalize](vmin = cmin, vmax = cmax)
|
||||
f = colorbar_series[:line_z] != nothing ? py_linecolormap : py_fillcolormap
|
||||
f = if colorbar_series[:line_z] != nothing
|
||||
py_linecolormap
|
||||
elseif colorbar_series[:fill_z] != nothing
|
||||
py_fillcolormap
|
||||
else
|
||||
py_markercolormap
|
||||
end
|
||||
cmap = pycmap[:ScalarMappable](norm = norm, cmap = f(colorbar_series))
|
||||
cmap[:set_array]([])
|
||||
handle = cmap
|
||||
@@ -1278,23 +1286,17 @@ function py_add_legend(plt::Plot, sp::Subplot, ax)
|
||||
labels,
|
||||
loc = get(_pyplot_legend_pos, leg, "best"),
|
||||
scatterpoints = 1,
|
||||
fontsize = py_dpi_scale(plt, sp[:legendfontsize])
|
||||
# family = sp[:legendfont].family
|
||||
# framealpha = 0.6
|
||||
fontsize = py_dpi_scale(plt, sp[:legendfontsize]),
|
||||
facecolor = py_color(sp[:background_color_legend]),
|
||||
edgecolor = py_color(sp[:foreground_color_legend]),
|
||||
framealpha = alpha(plot_color(sp[:background_color_legend])),
|
||||
)
|
||||
leg[:set_zorder](1000)
|
||||
sp[:legendtitle] != nothing && leg[:set_title](sp[:legendtitle])
|
||||
|
||||
fgcolor = py_color(sp[:foreground_color_legend])
|
||||
lfcolor = py_color(sp[:legendfontcolor])
|
||||
for txt in leg[:get_texts]()
|
||||
PyPlot.plt[:setp](txt, color = lfcolor, family = sp[:legendfontfamily])
|
||||
PyPlot.plt[:setp](txt, color = py_color(sp[:legendfontcolor]), family = sp[:legendfontfamily])
|
||||
end
|
||||
|
||||
# set some legend properties
|
||||
frame = leg[:get_frame]()
|
||||
frame[set_facecolor_sym](py_color(sp[:background_color_legend]))
|
||||
frame[:set_edgecolor](fgcolor)
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
@@ -212,7 +212,7 @@ end
|
||||
|
||||
function _show(io::IO, ::MIME"text/plain", plt::Plot{UnicodePlotsBackend})
|
||||
unicodeplots_rebuild(plt)
|
||||
map(show, plt.o)
|
||||
foreach(x -> show(io, x), plt.o)
|
||||
nothing
|
||||
end
|
||||
|
||||
|
||||
+19
-28
@@ -157,17 +157,6 @@ end
|
||||
|
||||
# ---------------------------------------------------------
|
||||
|
||||
const _mimeformats = Dict(
|
||||
"application/eps" => "eps",
|
||||
"image/eps" => "eps",
|
||||
"application/pdf" => "pdf",
|
||||
"image/png" => "png",
|
||||
"application/postscript" => "ps",
|
||||
"image/svg+xml" => "svg",
|
||||
"text/plain" => "txt",
|
||||
"application/x-tex" => "tex",
|
||||
)
|
||||
|
||||
const _best_html_output_type = KW(
|
||||
:pyplot => :png,
|
||||
:unicodeplots => :txt,
|
||||
@@ -177,7 +166,7 @@ const _best_html_output_type = KW(
|
||||
)
|
||||
|
||||
# a backup for html... passes to svg or png depending on the html_output_format arg
|
||||
function Base.show(io::IO, ::MIME"text/html", plt::Plot)
|
||||
function _show(io::IO, ::MIME"text/html", plt::Plot)
|
||||
output_type = Symbol(plt.attr[:html_output_format])
|
||||
if output_type == :auto
|
||||
output_type = get(_best_html_output_type, backend_name(plt.backend), :svg)
|
||||
@@ -191,26 +180,32 @@ function Base.show(io::IO, ::MIME"text/html", plt::Plot)
|
||||
elseif output_type == :txt
|
||||
show(io, MIME("text/plain"), plt)
|
||||
else
|
||||
error("only png or svg allowed. got: $output_type")
|
||||
error("only png or svg allowed. got: $(repr(output_type))")
|
||||
end
|
||||
end
|
||||
|
||||
function _show(io::IO, m, plt::Plot{B}) where B
|
||||
# Base.show_backtrace(STDOUT, backtrace())
|
||||
warn("_show is not defined for this backend. m=", string(m))
|
||||
# delegate mimewritable (showable on julia 0.7) to _show instead
|
||||
function Base.mimewritable(m::M, plt::P) where {M<:MIME, P<:Plot}
|
||||
return method_exists(_show, Tuple{IO, M, P})
|
||||
end
|
||||
|
||||
function _display(plt::Plot)
|
||||
warn("_display is not defined for this backend.")
|
||||
end
|
||||
|
||||
# for writing to io streams... first prepare, then callback
|
||||
for mime in keys(_mimeformats)
|
||||
@eval function Base.show(io::IO, m::MIME{Symbol($mime)}, plt::Plot{B}) where B
|
||||
for mime in ("text/plain", "text/html", "image/png", "image/eps", "image/svg+xml",
|
||||
"application/eps", "application/pdf", "application/postscript",
|
||||
"application/x-tex")
|
||||
@eval function Base.show(io::IO, m::MIME{Symbol($mime)}, plt::Plot)
|
||||
prepare_output(plt)
|
||||
_show(io, m, plt)
|
||||
end
|
||||
end
|
||||
|
||||
# default text/plain for all backends
|
||||
_show(io::IO, ::MIME{Symbol("text/plain")}, plt::Plot) = show(io, plt)
|
||||
|
||||
"Close all open gui windows of the current backend"
|
||||
closeall() = closeall(backend())
|
||||
|
||||
@@ -218,9 +213,10 @@ closeall() = closeall(backend())
|
||||
# ---------------------------------------------------------
|
||||
# A backup, if no PNG generation is defined, is to try to make a PDF and use FileIO to convert
|
||||
|
||||
const PDFBackends = Union{PGFPlotsBackend,PlotlyJSBackend,PyPlotBackend,InspectDRBackend,GRBackend}
|
||||
if is_installed("FileIO")
|
||||
@eval import FileIO
|
||||
function _show(io::IO, ::MIME"image/png", plt::Plot)
|
||||
function _show(io::IO, ::MIME"image/png", plt::Plot{<:PDFBackends})
|
||||
fn = tempname()
|
||||
|
||||
# first save a pdf file
|
||||
@@ -288,7 +284,10 @@ end
|
||||
output_type = get(_best_html_output_type, backend_name(plt.backend), :svg)
|
||||
end
|
||||
out = Dict()
|
||||
if output_type == :png
|
||||
if output_type == :txt
|
||||
mime = "text/plain"
|
||||
out[mime] = sprint(show, MIME(mime), plt)
|
||||
elseif output_type == :png
|
||||
mime = "image/png"
|
||||
out[mime] = base64encode(show, MIME(mime), plt)
|
||||
elseif output_type == :svg
|
||||
@@ -304,11 +303,6 @@ end
|
||||
out
|
||||
end
|
||||
|
||||
# default text/plain passes to html... handles Interact issues
|
||||
function Base.show(io::IO, m::MIME"text/plain", plt::Plot)
|
||||
show(io, MIME("text/html"), plt)
|
||||
end
|
||||
|
||||
ENV["MPLBACKEND"] = "Agg"
|
||||
end
|
||||
end
|
||||
@@ -322,9 +316,6 @@ end
|
||||
if Juno.isactive()
|
||||
Media.media(Plot, Media.Plot)
|
||||
|
||||
|
||||
_show(io::IO, m::MIME"text/plain", plt::Plot{B}) where {B} = print(io, "Plot{$B}()")
|
||||
|
||||
function Juno.render(e::Juno.Editor, plt::Plot)
|
||||
Juno.render(e, nothing)
|
||||
end
|
||||
|
||||
+2
-1
@@ -327,7 +327,7 @@ end
|
||||
|
||||
function _override_seriestype_check(d::KW, st::Symbol)
|
||||
# do we want to override the series type?
|
||||
if !is3d(st)
|
||||
if !is3d(st) && !(st in (:contour,:contour3d))
|
||||
z = d[:z]
|
||||
if !isa(z, Void) && (size(d[:x]) == size(d[:y]) == size(z))
|
||||
st = (st == :scatter ? :scatter3d : :path3d)
|
||||
@@ -398,6 +398,7 @@ function _process_seriesrecipe(plt::Plot, d::KW)
|
||||
sp = _prepare_subplot(plt, d)
|
||||
_prepare_annotations(sp, d)
|
||||
_expand_subplot_extrema(sp, d, st)
|
||||
_update_series_attributes!(d, plt, sp)
|
||||
_add_the_series(plt, sp, d)
|
||||
|
||||
else
|
||||
|
||||
+1
-1
@@ -627,7 +627,7 @@ group_as_matrix(t) = false
|
||||
else
|
||||
g = args[1]
|
||||
if length(g.args) == 1
|
||||
x = zeros(Int64, lengthGroup)
|
||||
x = zeros(Int, lengthGroup)
|
||||
for indexes in groupby.groupIds
|
||||
x[indexes] = 1:length(indexes)
|
||||
end
|
||||
|
||||
+39
-6
@@ -195,9 +195,13 @@ end
|
||||
function iter_segments(series::Series)
|
||||
x, y, z = series[:x], series[:y], series[:z]
|
||||
if has_attribute_segments(series)
|
||||
return [i:(i + 1) for i in 1:(length(y) - 1)]
|
||||
if series[:seriestype] in (:scatter, :scatter3d)
|
||||
return [[i] for i in 1:length(y)]
|
||||
else
|
||||
return [i:(i + 1) for i in 1:(length(y) - 1)]
|
||||
end
|
||||
else
|
||||
segs = UnitRange{Int64}[]
|
||||
segs = UnitRange{Int}[]
|
||||
args = is3d(series) ? (x, y, z) : (x, y)
|
||||
for seg in iter_segments(args...)
|
||||
push!(segs, seg)
|
||||
@@ -207,7 +211,7 @@ function iter_segments(series::Series)
|
||||
end
|
||||
|
||||
# helpers to figure out if there are NaN values in a list of array types
|
||||
anynan(i::Int, args::Tuple) = any(a -> !isfinite(_cycle(a,i)), args)
|
||||
anynan(i::Int, args::Tuple) = any(a -> try isnan(_cycle(a,i)) catch MethodError false end, args)
|
||||
anynan(istart::Int, iend::Int, args::Tuple) = any(i -> anynan(i, args), istart:iend)
|
||||
allnan(istart::Int, iend::Int, args::Tuple) = all(i -> anynan(i, args), istart:iend)
|
||||
|
||||
@@ -620,7 +624,7 @@ function get_linecolor(series, i::Int = 1)
|
||||
lc = series[:linecolor]
|
||||
lz = series[:line_z]
|
||||
if lz == nothing
|
||||
isa(lc, ColorGradient) ? lc : _cycle(lc, i)
|
||||
isa(lc, ColorGradient) ? lc : plot_color(_cycle(lc, i))
|
||||
else
|
||||
cmin, cmax = get_clims(series[:subplot])
|
||||
grad = isa(lc, ColorGradient) ? lc : cgrad()
|
||||
@@ -644,7 +648,7 @@ function get_fillcolor(series, i::Int = 1)
|
||||
fc = series[:fillcolor]
|
||||
fz = series[:fill_z]
|
||||
if fz == nothing
|
||||
isa(fc, ColorGradient) ? fc : _cycle(fc, i)
|
||||
isa(fc, ColorGradient) ? fc : plot_color(_cycle(fc, i))
|
||||
else
|
||||
cmin, cmax = get_clims(series[:subplot])
|
||||
grad = isa(fc, ColorGradient) ? fc : cgrad()
|
||||
@@ -656,6 +660,31 @@ function get_fillalpha(series, i::Int = 1)
|
||||
_cycle(series[:fillalpha], i)
|
||||
end
|
||||
|
||||
function get_markercolor(series, i::Int = 1)
|
||||
mc = series[:markercolor]
|
||||
mz = series[:marker_z]
|
||||
if mz == nothing
|
||||
isa(mc, ColorGradient) ? mc : plot_color(_cycle(mc, i))
|
||||
else
|
||||
cmin, cmax = get_clims(series[:subplot])
|
||||
grad = isa(mc, ColorGradient) ? mc : cgrad()
|
||||
grad[clamp((_cycle(mz, i) - cmin) / (cmax - cmin), 0, 1)]
|
||||
end
|
||||
end
|
||||
|
||||
function get_markeralpha(series, i::Int = 1)
|
||||
_cycle(series[:markeralpha], i)
|
||||
end
|
||||
|
||||
function get_markerstrokecolor(series, i::Int = 1)
|
||||
msc = series[:markerstrokecolor]
|
||||
isa(msc, ColorGradient) ? msc : _cycle(msc, i)
|
||||
end
|
||||
|
||||
function get_markerstrokealpha(series, i::Int = 1)
|
||||
_cycle(series[:markerstrokealpha], i)
|
||||
end
|
||||
|
||||
function has_attribute_segments(series::Series)
|
||||
# we want to check if a series needs to be split into segments just because
|
||||
# of its attributes
|
||||
@@ -666,7 +695,7 @@ function has_attribute_segments(series::Series)
|
||||
end
|
||||
series[:seriestype] == :shape && return false
|
||||
# ... else we check relevant attributes if they have multiple inputs
|
||||
return any((typeof(series[attr]) <: AbstractVector && length(series[attr]) > 1) for attr in [:seriescolor, :seriesalpha, :linecolor, :linealpha, :linewidth, :fillcolor, :fillalpha]) || any(typeof(series[attr]) <: AbstractArray{<:Real} for attr in (:line_z, :fill_z))
|
||||
return any((typeof(series[attr]) <: AbstractVector && length(series[attr]) > 1) for attr in [:seriescolor, :seriesalpha, :linecolor, :linealpha, :linewidth, :fillcolor, :fillalpha, :markercolor, :markeralpha, :markerstrokecolor, :markerstrokealpha]) || any(typeof(series[attr]) <: AbstractArray{<:Real} for attr in (:line_z, :fill_z, :marker_z))
|
||||
end
|
||||
|
||||
# ---------------------------------------------------------------
|
||||
@@ -1188,3 +1217,7 @@ function shape_data(series)
|
||||
end
|
||||
return x, y
|
||||
end
|
||||
|
||||
function construct_categorical_data(x::AbstractArray, axis::Axis)
|
||||
map(xi -> axis[:discrete_values][searchsortedfirst(axis[:continuous_values], xi)], x)
|
||||
end
|
||||
|
||||
+1
-1
@@ -23,7 +23,7 @@ default(size=(500,300))
|
||||
# TODO: use julia's Condition type and the wait() and notify() functions to initialize a Window, then wait() on a condition that
|
||||
# is referenced in a button press callback (the button clicked callback will call notify() on that condition)
|
||||
|
||||
const _current_plots_version = v"0.17.0"
|
||||
const _current_plots_version = v"0.17.2"
|
||||
|
||||
|
||||
function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = isinteractive(), sigma = [1,1], eps = 1e-2)
|
||||
|
||||
Reference in New Issue
Block a user