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@@ -7,3 +7,4 @@ examples/meetup/.ipynb_checkpoints/*
|
||||
deps/plotly-latest.min.js
|
||||
deps/build.log
|
||||
deps/deps.jl
|
||||
Manifest.toml
|
||||
|
||||
+5
-45
@@ -4,57 +4,17 @@ os:
|
||||
- linux
|
||||
# - osx
|
||||
julia:
|
||||
# - 1.0
|
||||
- 1.1
|
||||
- nightly
|
||||
# matrix:
|
||||
# allow_failures:
|
||||
# - julia: nightly
|
||||
|
||||
# # before install:
|
||||
# # - if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then brew update ; fi
|
||||
# # - if [[ "$TRAVIS_OS_NAME" == "osx" ]]; then brew install wkhtmltopdf; fi
|
||||
|
||||
# ref: http://askubuntu.com/a/556672 for the wkhtmltopdf apt repository info
|
||||
|
||||
matrix:
|
||||
allow_failures:
|
||||
- julia: nightly
|
||||
|
||||
sudo: required
|
||||
before_install:
|
||||
- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then pwd ; fi
|
||||
- if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then ./test/install_wkhtmltoimage.sh ; fi
|
||||
# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then sudo add-apt-repository -y ppa:pov/wkhtmltopdf ; fi
|
||||
# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then sudo apt-get -qq update ; fi
|
||||
# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then sudo apt-get install -y wkhtmltopdf ; fi
|
||||
# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then wkhtmltopdf -V ; fi
|
||||
# - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then wkhtmltoimage -V ; fi
|
||||
# echo 'exec xvfb-run -a -s "-screen 0 640x480x16" wkhtmltopdf "$@"' | sudo tee /usr/local/bin/wkhtmltopdf.sh >/dev/null
|
||||
# sudo chmod a+x /usr/local/bin/wkhtmltopdf.sh
|
||||
|
||||
# # borrowed from Blink.jl's travis file
|
||||
# matrix:
|
||||
# include:
|
||||
# - os: linux
|
||||
# julia: 0.4
|
||||
# env: TESTCMD="xvfb-run julia"
|
||||
# - os: osx
|
||||
# julia: 0.4
|
||||
# env: TESTCMD="julia"
|
||||
|
||||
|
||||
|
||||
notifications:
|
||||
email: true
|
||||
# uncomment the following lines to override the default test script
|
||||
# script:
|
||||
# - if [[ -a .git/shallow ]]; then git fetch --unshallow; fi
|
||||
# - julia -e 'import Pkg; Pkg.add(Pkg.PackageSpec(path=pwd())); Pkg.build("Plots")'
|
||||
# - julia test/travis_commands.jl
|
||||
# - julia -e 'Pkg.clone("ImageMagick"); Pkg.build("ImageMagick")'
|
||||
# - julia -e 'Pkg.clone("GR"); Pkg.build("GR")'
|
||||
# # - julia -e 'Pkg.clone("https://github.com/tbreloff/ImageMagick.jl.git"); Pkg.checkout("ImageMagick","tb_write"); Pkg.build("ImageMagick")'
|
||||
# - julia -e 'Pkg.clone("https://github.com/tbreloff/ExamplePlots.jl.git");'
|
||||
# # - julia -e 'Pkg.clone("https://github.com/JunoLab/Blink.jl.git"); Pkg.build("Blink"); import Blink; Blink.AtomShell.install()'
|
||||
# # - julia -e 'Pkg.clone("https://github.com/spencerlyon2/PlotlyJS.jl.git")'
|
||||
# - julia -e 'ENV["PYTHON"] = ""; Pkg.add("PyPlot"); Pkg.build("PyPlot")'
|
||||
#
|
||||
# # - $TESTCMD -e 'Pkg.test("Plots"; coverage=false)'
|
||||
# - julia -e 'Pkg.test("Plots"; coverage=false)'
|
||||
# # - julia -e 'cd(Pkg.dir("Plots")); Pkg.add("Coverage"); using Coverage; Coveralls.submit(process_folder()); Codecov.submit(process_folder())'
|
||||
|
||||
@@ -10,7 +10,75 @@
|
||||
|
||||
---
|
||||
## (current master)
|
||||
- All new development should target Julia 1.x!
|
||||
|
||||
## 0.25.0
|
||||
- Replace StaticArrays with GeometryTypes
|
||||
- Contour fixes for GR
|
||||
|
||||
## 0.24.0
|
||||
- Update to the new PyCall and PyPlot API
|
||||
- fix drawing of ticks
|
||||
- fix y label position with GR
|
||||
|
||||
## 0.23.2
|
||||
- pyplot fixes
|
||||
- Add option :tex_output_standalone to set the 'include_preamble' argument in the PGFPlots backend.
|
||||
- fix ticks
|
||||
- support plotly json mime
|
||||
- fix image axis limits
|
||||
- default to radius 0 at center for polar plots
|
||||
|
||||
## 0.23.1
|
||||
- slightly faster load time
|
||||
- fixed errant MethodError
|
||||
- fix bar plots with unicodeplots
|
||||
- better colorbars for contour
|
||||
- add volume seriestype for GR
|
||||
- fix passing a tuple to custom ticks
|
||||
- add vline to pgfplots
|
||||
- add tex output for pyplot
|
||||
- better 3d axis labels for GR
|
||||
|
||||
## 0.23.0
|
||||
- compatible with StatPlots -> StatsPlots name shift
|
||||
- fix histograms for vectors with NaN and Inf
|
||||
- change gif behaviour (remove cache-busting)
|
||||
- improved docstrings for shorthands functions
|
||||
- fix font rotation for pyplot
|
||||
- fix greyscale images for pyplot
|
||||
- clamp greyscale images with values outside 0,1
|
||||
- support keyword argument for font options
|
||||
- allow vector of markers for pyplot scatter
|
||||
|
||||
## 0.22.5
|
||||
- improve behaviour of plotlyjs backend
|
||||
|
||||
## 0.22.4
|
||||
- Add support for discrete contourf plots with GR
|
||||
|
||||
## 0.22.3
|
||||
- Fix the `showtheme` function
|
||||
|
||||
## 0.22.2
|
||||
- Allow annotations to accept a Tuple instead of the result of a text call (making it possible to specify font characteristics in recipes). E.g. `annotations = (2, 4, ("test", :right, 8, :red))` is the same as `annotations = (2, 4, text("test", :right, 8, :red))`
|
||||
|
||||
## 0.22.1
|
||||
- push PlotsDisplay just after REPLDisplay
|
||||
|
||||
## 0.22.0
|
||||
- deprecate GLVisualize
|
||||
- allow 1-row and 1-column heatmaps
|
||||
- add portfoliodecomposition recipe from PlotRecipes
|
||||
- solve Shape bug
|
||||
- simplify PyPlot backend installation
|
||||
- fix wireframe bug in PyPlot
|
||||
- fix color bug in PyPlot
|
||||
- minor bug fixes in gr and pyplot
|
||||
|
||||
## 0.21.0
|
||||
- Compatibility with StaticArrays 0.9.0
|
||||
- Up GR min version to 0.35
|
||||
- fix :mirror
|
||||
|
||||
## 0.20.6
|
||||
- fixes for PlotDocs.jl
|
||||
@@ -165,7 +233,7 @@ Many updates, min julia 1.0
|
||||
- add `reset_defaults()` function to reset plot defaults
|
||||
- update syntax to 0.6
|
||||
- make `fill = true` fill to 0 rather than to 1
|
||||
- use new `@df` syntax in StatPlots examples
|
||||
- use new `@df` syntax in StatsPlots examples
|
||||
- allow changing the color of legend box
|
||||
- implement `title_location` for gr
|
||||
- add `hline` marker to pgfplots - fixes errorbars
|
||||
@@ -317,7 +385,7 @@ Many updates, min julia 1.0
|
||||
- added dependency on PlotThemes
|
||||
- set_theme --> theme
|
||||
- remove Compat from REQUIRE
|
||||
- warning for DataFrames without StatPlots
|
||||
- warning for DataFrames without StatsPlots
|
||||
- closeall exported and implemented for gr/pyplot
|
||||
- fix DateTime recipe
|
||||
- reset theme with theme(:none)
|
||||
@@ -439,8 +507,8 @@ Many updates, min julia 1.0
|
||||
#### 0.8.0
|
||||
|
||||
- added dependency on PlotUtils
|
||||
- BREAKING: removed DataFrames support (now in StatPlots.jl)
|
||||
- BREAKING: removed boxplot/violin/density recipes (now in StatPlots.jl)
|
||||
- BREAKING: removed DataFrames support (now in StatsPlots.jl)
|
||||
- BREAKING: removed boxplot/violin/density recipes (now in StatsPlots.jl)
|
||||
- GR:
|
||||
- inline iterm2 support
|
||||
- trisurface support
|
||||
|
||||
@@ -0,0 +1,56 @@
|
||||
name = "Plots"
|
||||
uuid = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
|
||||
author = ["Tom Breloff (@tbreloff)"]
|
||||
version = "0.25.0"
|
||||
|
||||
[deps]
|
||||
Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
|
||||
Contour = "d38c429a-6771-53c6-b99e-75d170b6e991"
|
||||
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
|
||||
FixedPointNumbers = "53c48c17-4a7d-5ca2-90c5-79b7896eea93"
|
||||
GR = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71"
|
||||
GeometryTypes = "4d00f742-c7ba-57c2-abde-4428a4b178cb"
|
||||
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
|
||||
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
|
||||
Measures = "442fdcdd-2543-5da2-b0f3-8c86c306513e"
|
||||
NaNMath = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
|
||||
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
|
||||
PlotThemes = "ccf2f8ad-2431-5c83-bf29-c5338b663b6a"
|
||||
PlotUtils = "995b91a9-d308-5afd-9ec6-746e21dbc043"
|
||||
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
|
||||
REPL = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
|
||||
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
|
||||
RecipesBase = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
|
||||
Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
|
||||
Requires = "ae029012-a4dd-5104-9daa-d747884805df"
|
||||
Showoff = "992d4aef-0814-514b-bc4d-f2e9a6c4116f"
|
||||
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
|
||||
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
|
||||
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
|
||||
UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
|
||||
|
||||
[compat]
|
||||
FixedPointNumbers = "≥ 0.3.0"
|
||||
GR = "≥ 0.31.0"
|
||||
PlotThemes = "≥ 0.1.3"
|
||||
PlotUtils = "≥ 0.4.1"
|
||||
RecipesBase = "≥ 0.6.0"
|
||||
StatsBase = "≥ 0.14.0"
|
||||
julia = "≥ 1.0.0"
|
||||
|
||||
[extras]
|
||||
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
|
||||
ImageMagick = "6218d12a-5da1-5696-b52f-db25d2ecc6d1"
|
||||
Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
|
||||
LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
|
||||
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
|
||||
RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
|
||||
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
|
||||
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
|
||||
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
|
||||
UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
|
||||
VisualRegressionTests = "34922c18-7c2a-561c-bac1-01e79b2c4c92"
|
||||
BinaryProvider = "b99e7846-7c00-51b0-8f62-c81ae34c0232"
|
||||
|
||||
[targets]
|
||||
test = ["BinaryProvider", "Pkg", "Test", "Random", "StatsPlots", "VisualRegressionTests", "LaTeXStrings", "Images", "ImageMagick", "RDatasets", "FileIO", "UnicodePlots"]
|
||||
@@ -1,16 +0,0 @@
|
||||
julia 1.0
|
||||
|
||||
RecipesBase 0.6.0
|
||||
PlotUtils 0.4.1
|
||||
PlotThemes 0.1.3
|
||||
Reexport
|
||||
StaticArrays 0.5
|
||||
FixedPointNumbers 0.3
|
||||
Measures
|
||||
Showoff
|
||||
StatsBase 0.14.0
|
||||
JSON
|
||||
NaNMath
|
||||
Requires
|
||||
Contour
|
||||
GR 0.35.0
|
||||
+6
-95
@@ -1,11 +1,11 @@
|
||||
module Plots
|
||||
|
||||
_current_plots_version = v"0.20.6"
|
||||
_current_plots_version = v"0.25.0"
|
||||
|
||||
using Reexport
|
||||
|
||||
import StaticArrays
|
||||
using Dates, Printf, Statistics, Base64, LinearAlgebra
|
||||
import GeometryTypes
|
||||
using Dates, Printf, Statistics, Base64, LinearAlgebra, Random
|
||||
import SparseArrays: findnz
|
||||
|
||||
@reexport using RecipesBase
|
||||
@@ -84,7 +84,6 @@ export
|
||||
backends,
|
||||
backend_name,
|
||||
backend_object,
|
||||
add_backend,
|
||||
aliases,
|
||||
|
||||
Shape,
|
||||
@@ -180,103 +179,15 @@ include("arg_desc.jl")
|
||||
include("plotattr.jl")
|
||||
include("backends.jl")
|
||||
include("output.jl")
|
||||
include("ijulia.jl")
|
||||
include("fileio.jl")
|
||||
include("init.jl")
|
||||
|
||||
include("backends/plotly.jl")
|
||||
include("backends/gr.jl")
|
||||
include("backends/web.jl")
|
||||
|
||||
# ---------------------------------------------------------
|
||||
|
||||
@shorthands scatter
|
||||
@shorthands bar
|
||||
@shorthands barh
|
||||
@shorthands histogram
|
||||
@shorthands barhist
|
||||
@shorthands stephist
|
||||
@shorthands scatterhist
|
||||
@shorthands histogram2d
|
||||
@shorthands density
|
||||
@shorthands heatmap
|
||||
@shorthands plots_heatmap
|
||||
@shorthands hexbin
|
||||
@shorthands sticks
|
||||
@shorthands hline
|
||||
@shorthands vline
|
||||
@shorthands hspan
|
||||
@shorthands vspan
|
||||
@shorthands ohlc
|
||||
@shorthands contour
|
||||
@shorthands contourf
|
||||
@shorthands contour3d
|
||||
@shorthands surface
|
||||
@shorthands wireframe
|
||||
@shorthands path3d
|
||||
@shorthands scatter3d
|
||||
@shorthands boxplot
|
||||
@shorthands violin
|
||||
@shorthands quiver
|
||||
@shorthands curves
|
||||
|
||||
"Plot a pie diagram"
|
||||
pie(args...; kw...) = plot(args...; kw..., seriestype = :pie, aspect_ratio = :equal, grid=false, xticks=nothing, yticks=nothing)
|
||||
pie!(args...; kw...) = plot!(args...; kw..., seriestype = :pie, aspect_ratio = :equal, grid=false, xticks=nothing, yticks=nothing)
|
||||
|
||||
"Plot with seriestype :path3d"
|
||||
plot3d(args...; kw...) = plot(args...; kw..., seriestype = :path3d)
|
||||
plot3d!(args...; kw...) = plot!(args...; kw..., seriestype = :path3d)
|
||||
|
||||
"Add title to an existing plot"
|
||||
title!(s::AbstractString; kw...) = plot!(; title = s, kw...)
|
||||
|
||||
"Add xlabel to an existing plot"
|
||||
xlabel!(s::AbstractString; kw...) = plot!(; xlabel = s, kw...)
|
||||
|
||||
"Add ylabel to an existing plot"
|
||||
ylabel!(s::AbstractString; kw...) = plot!(; ylabel = s, kw...)
|
||||
|
||||
"Set xlims for an existing plot"
|
||||
xlims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; xlims = lims, kw...)
|
||||
|
||||
"Set ylims for an existing plot"
|
||||
ylims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; ylims = lims, kw...)
|
||||
|
||||
"Set zlims for an existing plot"
|
||||
zlims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; zlims = lims, kw...)
|
||||
|
||||
xlims!(xmin::Real, xmax::Real; kw...) = plot!(; xlims = (xmin,xmax), kw...)
|
||||
ylims!(ymin::Real, ymax::Real; kw...) = plot!(; ylims = (ymin,ymax), kw...)
|
||||
zlims!(zmin::Real, zmax::Real; kw...) = plot!(; zlims = (zmin,zmax), kw...)
|
||||
|
||||
|
||||
"Set xticks for an existing plot"
|
||||
xticks!(v::TicksArgs; kw...) where {T<:Real} = plot!(; xticks = v, kw...)
|
||||
|
||||
"Set yticks for an existing plot"
|
||||
yticks!(v::TicksArgs; kw...) where {T<:Real} = plot!(; yticks = v, kw...)
|
||||
|
||||
xticks!(
|
||||
ticks::AVec{T}, labels::AVec{S}; kw...) where {T<:Real,S<:AbstractString} = plot!(; xticks = (ticks,labels), kw...)
|
||||
yticks!(
|
||||
ticks::AVec{T}, labels::AVec{S}; kw...) where {T<:Real,S<:AbstractString} = plot!(; yticks = (ticks,labels), kw...)
|
||||
|
||||
"Add annotations to an existing plot"
|
||||
annotate!(anns...; kw...) = plot!(; annotation = anns, kw...)
|
||||
annotate!(anns::AVec{T}; kw...) where {T<:Tuple} = plot!(; annotation = anns, kw...)
|
||||
|
||||
"Flip the current plots' x axis"
|
||||
xflip!(flip::Bool = true; kw...) = plot!(; xflip = flip, kw...)
|
||||
|
||||
"Flip the current plots' y axis"
|
||||
yflip!(flip::Bool = true; kw...) = plot!(; yflip = flip, kw...)
|
||||
|
||||
"Specify x axis attributes for an existing plot"
|
||||
xaxis!(args...; kw...) = plot!(; xaxis = args, kw...)
|
||||
|
||||
"Specify x axis attributes for an existing plot"
|
||||
yaxis!(args...; kw...) = plot!(; yaxis = args, kw...)
|
||||
xgrid!(args...; kw...) = plot!(; xgrid = args, kw...)
|
||||
ygrid!(args...; kw...) = plot!(; ygrid = args, kw...)
|
||||
include("shorthands.jl")
|
||||
|
||||
let PlotOrSubplot = Union{Plot, Subplot}
|
||||
global title!(plt::PlotOrSubplot, s::AbstractString; kw...) = plot!(plt; title = s, kw...)
|
||||
|
||||
+11
-3
@@ -93,19 +93,27 @@ end
|
||||
|
||||
|
||||
|
||||
# write out html to view the gif... note the rand call which is a hack so the image doesn't get cached
|
||||
# write out html to view the gif
|
||||
function Base.show(io::IO, ::MIME"text/html", agif::AnimatedGif)
|
||||
ext = file_extension(agif.filename)
|
||||
write(io, if ext == "gif"
|
||||
"<img src=\"$(relpath(agif.filename))?$(rand())>\" />"
|
||||
"<img src=\"$(relpath(agif.filename))\" />"
|
||||
elseif ext in ("mov", "mp4")
|
||||
"<video controls><source src=\"$(relpath(agif.filename))?$(rand())>\" type=\"video/$ext\"></video>"
|
||||
"<video controls><source src=\"$(relpath(agif.filename)) type=\"video/$ext\"></video>"
|
||||
else
|
||||
error("Cannot show animation with extension $ext: $agif")
|
||||
end)
|
||||
end
|
||||
|
||||
|
||||
# Only gifs can be shown via image/gif
|
||||
Base.showable(::MIME"image/gif", agif::AnimatedGif) = file_extension(agif.filename) == "gif"
|
||||
|
||||
function Base.show(io::IO, ::MIME"image/gif", agif::AnimatedGif)
|
||||
open(fio-> write(io, fio), agif.filename)
|
||||
end
|
||||
|
||||
|
||||
# -----------------------------------------------
|
||||
|
||||
function _animate(forloop::Expr, args...; callgif = false)
|
||||
|
||||
+26
-24
@@ -2,7 +2,7 @@
|
||||
const _arg_desc = KW(
|
||||
|
||||
# series args
|
||||
:label => "String type. The label for a series, which appears in a legend. If empty, no legend entry is added.",
|
||||
:label => "String type. The label for a series, which appears in a legend. If empty, no legend entry is added.",
|
||||
:seriescolor => "Color Type. The base color for this series. `:auto` (the default) will select a color from the subplot's `color_palette`, based on the order it was added to the subplot",
|
||||
:seriesalpha => "Number in [0,1]. The alpha/opacity override for the series. `nothing` (the default) means it will take the alpha value of the color.",
|
||||
:seriestype => "Symbol. This is the identifier of the type of visualization for this series. Choose from $(_allTypes) or any series recipes which are defined.",
|
||||
@@ -10,7 +10,7 @@ const _arg_desc = KW(
|
||||
:linewidth => "Number. Width of the line (in pixels)",
|
||||
:linecolor => "Color Type. Color of the line (for path and bar stroke). `:match` will take the value from `:seriescolor`, (though histogram/bar types use `:black` as a default).",
|
||||
:linealpha => "Number in [0,1]. The alpha/opacity override for the line. `nothing` (the default) means it will take the alpha value of linecolor.",
|
||||
:fillrange => "Number or AbstractVector. Fills area from this to y for line-types, sets the base for bar/stick types, and similar for other types.",
|
||||
:fillrange => "Number or AbstractVector. Fills area between fillrange and y for line-types, sets the base for bar/stick types, and similar for other types.",
|
||||
:fillcolor => "Color Type. Color of the filled area of path or bar types. `:match` will take the value from `:seriescolor`.",
|
||||
:fillalpha => "Number in [0,1]. The alpha/opacity override for the fill area. `nothing` (the default) means it will take the alpha value of fillcolor.",
|
||||
:markershape => "Symbol, Shape, or AbstractVector. Choose from $(_allMarkers).",
|
||||
@@ -21,7 +21,7 @@ const _arg_desc = KW(
|
||||
:markerstrokewidth => "Number. Width of the marker stroke (border. in pixels)",
|
||||
:markerstrokecolor => "Color Type. Color of the marker stroke (border). `:match` will take the value from `:foreground_color_subplot`.",
|
||||
:markerstrokealpha => "Number in [0,1]. The alpha/opacity override for the marker stroke (border). `nothing` (the default) means it will take the alpha value of markerstrokecolor.",
|
||||
:bins => "Integer, NTuple{2,Integer}, AbstractVector or Symbol. Default is :auto (the Freedman-Diaconis rule). For histogram-types, defines the approximate number of bins to aim for, or the auto-binning algorithm to use (:sturges, :sqrt, :rice, :scott or :fd). For fine-grained control pass a Vector of break values, e.g. `range(min(x), stop = extrema(x), length = 25)`",
|
||||
:bins => "Integer, NTuple{2,Integer}, AbstractVector or Symbol. Default is :auto (the Freedman-Diaconis rule). For histogram-types, defines the approximate number of bins to aim for, or the auto-binning algorithm to use (:sturges, :sqrt, :rice, :scott or :fd). For fine-grained control pass a Vector of break values, e.g. `range(minimum(x), stop = maximum(x), length = 25)`",
|
||||
:smooth => "Bool. Add a regression line?",
|
||||
:group => "AbstractVector. Data is split into a separate series, one for each unique value in `group`.",
|
||||
:x => "Various. Input data. First Dimension",
|
||||
@@ -29,13 +29,13 @@ const _arg_desc = KW(
|
||||
:z => "Various. Input data. Third Dimension. May be wrapped by a `Surface` for surface and heatmap types.",
|
||||
:marker_z => "AbstractVector, Function `f(x,y,z) -> z_value`, or Function `f(x,y) -> z_value`, or nothing. z-values for each series data point, which correspond to the color to be used from a markercolor gradient.",
|
||||
:line_z => "AbstractVector, Function `f(x,y,z) -> z_value`, or Function `f(x,y) -> z_value`, or nothing. z-values for each series line segment, which correspond to the color to be used from a linecolor gradient. Note that for N points, only the first N-1 values are used (one per line-segment).",
|
||||
:fill_z => "Matrix{Float64} of the same size as z matrix, which specifies the color of the 3D surface; the default value is `nothing`.",
|
||||
:levels => "Integer, NTuple{2,Integer}. Number of levels (or x-levels/y-levels) for a contour type.",
|
||||
:fill_z => "Matrix{Float64} of the same size as z matrix, which specifies the color of the 3D surface; the default value is `nothing`.",
|
||||
:levels => "Integer, NTuple{2,Integer}, or AbstractVector. Levels or number of levels (or x-levels/y-levels) for a contour type.",
|
||||
:orientation => "Symbol. Horizontal or vertical orientation for bar types. Values `:h`, `:hor`, `:horizontal` correspond to horizontal (sideways, anchored to y-axis), and `:v`, `:vert`, and `:vertical` correspond to vertical (the default).",
|
||||
:bar_position => "Symbol. Choose from `:overlay` (default), `:stack`. (warning: May not be implemented fully)",
|
||||
:bar_width => "nothing or Number. Width of bars in data coordinates. When nothing, chooses based on x (or y when `orientation = :h`).",
|
||||
:bar_edges => "Bool. Align bars to edges (true), or centers (the default)?",
|
||||
:xerror => "AbstractVector or 2-Tuple of Vectors. x (horizontal) error relative to x-value. If 2-tuple of vectors, the first vector corresponds to the left error (and the second to the right)",
|
||||
:bar_width => "nothing or Number. Width of bars in data coordinates. When nothing, chooses based on x (or y when `orientation = :h`).",
|
||||
:bar_edges => "Bool. Align bars to edges (true), or centers (the default)?",
|
||||
:xerror => "AbstractVector or 2-Tuple of Vectors. x (horizontal) error relative to x-value. If 2-tuple of vectors, the first vector corresponds to the left error (and the second to the right)",
|
||||
:yerror => "AbstractVector or 2-Tuple of Vectors. y (vertical) error relative to y-value. If 2-tuple of vectors, the first vector corresponds to the bottom error (and the second to the top)",
|
||||
:ribbon => "Number or AbstractVector. Creates a fillrange around the data points.",
|
||||
:quiver => "AbstractVector or 2-Tuple of vectors. The directional vectors U,V which specify velocity/gradient vectors for a quiver plot.",
|
||||
@@ -43,12 +43,12 @@ const _arg_desc = KW(
|
||||
:normalize => "Bool or Symbol. Histogram normalization mode. Possible values are: false/:none (no normalization, default), true/:pdf (normalize to a discrete Probability Density Function, where the total area of the bins is 1), :probability (bin heights sum to 1) and :density (the area of each bin, rather than the height, is equal to the counts - useful for uneven bin sizes).",
|
||||
:weights => "AbstractVector. Used in histogram types for weighted counts.",
|
||||
:contours => "Bool. Add contours to the side-grids of 3D plots? Used in surface/wireframe.",
|
||||
:contour_labels => "Bool. Show labels at the contour lines?",
|
||||
:contour_labels => "Bool. Show labels at the contour lines?",
|
||||
:match_dimensions => "Bool. For heatmap types... should the first dimension of a matrix (rows) correspond to the first dimension of the plot (x-axis)? The default is false, which matches the behavior of Matplotlib, Plotly, and others. Note: when passing a function for z, the function should still map `(x,y) -> z`.",
|
||||
:subplot => "Integer (subplot index) or Subplot object. The subplot that this series belongs to.",
|
||||
:series_annotations => "AbstractVector of String or PlotText. These are annotations which are mapped to data points/positions.",
|
||||
:primary => "Bool. Does this count as a 'real series'? For example, you could have a path (primary), and a scatter (secondary) as 2 separate series, maybe with different data (see sticks recipe for an example). The secondary series will get the same color, etc as the primary.",
|
||||
:hover => "nothing or vector of strings. Text to display when hovering over each data point.",
|
||||
:series_annotations => "AbstractVector of String or PlotText. These are annotations which are mapped to data points/positions.",
|
||||
:primary => "Bool. Does this count as a 'real series'? For example, you could have a path (primary), and a scatter (secondary) as 2 separate series, maybe with different data (see sticks recipe for an example). The secondary series will get the same color, etc as the primary.",
|
||||
:hover => "nothing or vector of strings. Text to display when hovering over each data point.",
|
||||
|
||||
# plot args
|
||||
:plot_title => "String. Title for the whole plot (not the subplots) (Note: Not currently implemented)",
|
||||
@@ -63,11 +63,12 @@ const _arg_desc = KW(
|
||||
:link => "Symbol. How/whether to link axis limits between subplots. Values: `:none`, `:x` (x axes are linked by columns), `:y` (y axes are linked by rows), `:both` (x and y are linked), `:all` (every subplot is linked together regardless of layout position).",
|
||||
:overwrite_figure => "Bool. Should we reuse the same GUI window/figure when plotting (true) or open a new one (false).",
|
||||
:html_output_format => "Symbol. When writing html output, what is the format? `:png` and `:svg` are currently supported.",
|
||||
:inset_subplots => "nothing or vector of 2-tuple (parent,bbox). optionally pass a vector of (parent,bbox) tuples which are the parent layout and the relative bounding box of inset subplots",
|
||||
:dpi => "Number. Dots Per Inch of output figures",
|
||||
:tex_output_standalone => "Bool. When writing tex output, should the source include a preamble for a standalone document class.",
|
||||
:inset_subplots => "nothing or vector of 2-tuple (parent,bbox). optionally pass a vector of (parent,bbox) tuples which are the parent layout and the relative bounding box of inset subplots",
|
||||
:dpi => "Number. Dots Per Inch of output figures",
|
||||
:thickness_scaling => "Number. Scale for the thickness of all line elements like lines, borders, axes, grid lines, ... defaults to 1.",
|
||||
:display_type => "Symbol (`:auto`, `:gui`, or `:inline`). When supported, `display` will either open a GUI window or plot inline.",
|
||||
:extra_kwargs => "KW (Dict{Symbol,Any}). Pass a map of extra keyword args which may be specific to a backend.",
|
||||
:display_type => "Symbol (`:auto`, `:gui`, or `:inline`). When supported, `display` will either open a GUI window or plot inline.",
|
||||
:extra_kwargs => "KW (Dict{Symbol,Any}). Pass a map of extra keyword args which may be specific to a backend.",
|
||||
:fontfamily => "String or Symbol. Default font family for title, legend entries, tick labels and guides",
|
||||
|
||||
# subplot args
|
||||
@@ -98,7 +99,7 @@ const _arg_desc = KW(
|
||||
:legendfont => "Font. Font of legend items.",
|
||||
:annotations => "(x,y,text) tuple(s). Can be a single tuple or a list of them. Text can be String or PlotText (created with `text(args...)`) Add one-off text annotations at the x,y coordinates.",
|
||||
:projection => "Symbol or String. '3d' or 'polar'",
|
||||
:aspect_ratio => "Symbol (:equal) or Number. Plot area is resized so that 1 y-unit is the same size as `apect_ratio` x-units.",
|
||||
:aspect_ratio => "Symbol (:equal) or Number. Plot area is resized so that 1 y-unit is the same size as `aspect_ratio` x-units.",
|
||||
:margin => "Measure (multiply by `mm`, `px`, etc). Base for individual margins... not directly used. Specifies the extra padding around subplots.",
|
||||
:left_margin => "Measure (multiply by `mm`, `px`, etc) or `:match` (matches `:margin`). Specifies the extra padding to the left of the subplot.",
|
||||
:top_margin => "Measure (multiply by `mm`, `px`, etc) or `:match` (matches `:margin`). Specifies the extra padding on the top of the subplot.",
|
||||
@@ -110,14 +111,14 @@ const _arg_desc = KW(
|
||||
:camera => "NTuple{2, Real}. Sets the view angle (azimuthal, elevation) for 3D plots",
|
||||
|
||||
# axis args
|
||||
:guide => "String. Axis guide (label).",
|
||||
:guide => "String. Axis guide (label).",
|
||||
:guide_position => "Symbol. Position of axis guides: :top, :bottom, :left or :right",
|
||||
: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]",
|
||||
:ticks => "Vector of numbers (set the tick values), Tuple of (tickvalues, ticklabels), or `:auto`",
|
||||
:scale => "Symbol. Scale of the axis: `:none`, `:ln`, `:log2`, `:log10`",
|
||||
:rotation => "Number. Degrees rotation of tick labels.",
|
||||
:flip => "Bool. Should we flip (reverse) the axis?",
|
||||
:formatter => "Function, :scientific, or :auto. A method which converts a number to a string for tick labeling.",
|
||||
: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]",
|
||||
:ticks => "Vector of numbers (set the tick values), Tuple of (tickvalues, ticklabels), or `:auto`",
|
||||
:scale => "Symbol. Scale of the axis: `:none`, `:ln`, `:log2`, `:log10`",
|
||||
:rotation => "Number. Degrees rotation of tick labels.",
|
||||
:flip => "Bool. Should we flip (reverse) the axis?",
|
||||
:formatter => "Function, :scientific, :plain or :auto. A method which converts a number to a string for tick labeling.",
|
||||
:tickfontfamily => "String or Symbol. Font family of tick labels.",
|
||||
:tickfontsize => "Integer. Font pointsize of tick labels.",
|
||||
:tickfonthalign => "Symbol. Font horizontal alignment of tick labels: :hcenter, :left, :right or :center",
|
||||
@@ -149,4 +150,5 @@ const _arg_desc = KW(
|
||||
:tick_direction => "Symbol. Direction of the ticks. `:in` or `:out`",
|
||||
:showaxis => "Bool, Symbol or String. Show the axis. `true`, `false`, `:show`, `:hide`, `:yes`, `:no`, `:x`, `:y`, `:z`, `:xy`, ..., `:all`, `:off`",
|
||||
:widen => "Bool. Widen the axis limits by a small factor to avoid cut-off markers and lines at the borders. Defaults to `true`.",
|
||||
:draw_arrow => "Bool. Draw arrow at the end of the axis.",
|
||||
)
|
||||
|
||||
+25
-16
@@ -232,6 +232,7 @@ const _bar_width = 0.8
|
||||
|
||||
const _series_defaults = KW(
|
||||
:label => "AUTO",
|
||||
:colorbar_entry => true,
|
||||
:seriescolor => :auto,
|
||||
:seriesalpha => nothing,
|
||||
:seriestype => :path,
|
||||
@@ -298,6 +299,7 @@ const _plot_defaults = KW(
|
||||
:link => :none,
|
||||
:overwrite_figure => true,
|
||||
:html_output_format => :auto,
|
||||
:tex_output_standalone => false,
|
||||
:inset_subplots => nothing, # optionally pass a vector of (parent,bbox) tuples which are
|
||||
# the parent layout and the relative bounding box of inset subplots
|
||||
:dpi => DPI, # dots per inch for images, etc
|
||||
@@ -390,6 +392,7 @@ const _axis_defaults = KW(
|
||||
:minorgrid => false,
|
||||
:showaxis => true,
|
||||
:widen => true,
|
||||
:draw_arrow => false,
|
||||
)
|
||||
|
||||
const _suppress_warnings = Set{Symbol}([
|
||||
@@ -735,6 +738,10 @@ function processMarkerArg(plotattributes::KW, arg)
|
||||
elseif allAlphas(arg)
|
||||
plotattributes[:markeralpha] = arg
|
||||
|
||||
# bool
|
||||
elseif typeof(arg) <: Bool
|
||||
plotattributes[:markershape] = arg ? :circle : :none
|
||||
|
||||
# markersize
|
||||
elseif allReals(arg)
|
||||
plotattributes[:markersize] = arg
|
||||
@@ -1050,8 +1057,8 @@ function preprocessArgs!(plotattributes::KW)
|
||||
|
||||
# warnings for moved recipes
|
||||
st = get(plotattributes, :seriestype, :path)
|
||||
if st in (:boxplot, :violin, :density) && !isdefined(Main, :StatPlots)
|
||||
@warn("seriestype $st has been moved to StatPlots. To use: \`Pkg.add(\"StatPlots\"); using StatPlots\`")
|
||||
if st in (:boxplot, :violin, :density) && !isdefined(Main, :StatsPlots)
|
||||
@warn("seriestype $st has been moved to StatsPlots. To use: \`Pkg.add(\"StatsPlots\"); using StatsPlots\`")
|
||||
end
|
||||
|
||||
return
|
||||
@@ -1180,7 +1187,7 @@ function convertLegendValue(val::Symbol)
|
||||
:best
|
||||
elseif val in (:no, :none)
|
||||
:none
|
||||
elseif val in (:right, :left, :top, :bottom, :inside, :best, :legend, :topright, :topleft, :bottomleft, :bottomright, :outertopright)
|
||||
elseif val in (:right, :left, :top, :bottom, :inside, :best, :legend, :topright, :topleft, :bottomleft, :bottomright, :outertopright, :outertopleft, :outertop, :outerright, :outerleft, :outerbottomright, :outerbottomleft, :outerbottom)
|
||||
val
|
||||
else
|
||||
error("Invalid symbol for legend: $val")
|
||||
@@ -1508,19 +1515,19 @@ function has_black_border_for_default(st::Symbol)
|
||||
like_histogram(st) || st in (:hexbin, :bar, :shape)
|
||||
end
|
||||
|
||||
|
||||
# converts a symbol or string into a colorant (Colors.RGB), and assigns a color automatically
|
||||
function getSeriesRGBColor(c, sp::Subplot, n::Int)
|
||||
# converts a symbol or string into a Colorant or ColorGradient
|
||||
# and assigns a color automatically
|
||||
function get_series_color(c, sp::Subplot, n::Int, seriestype)
|
||||
if c == :auto
|
||||
c = autopick(sp[:color_palette], n)
|
||||
c = like_surface(seriestype) ? cgrad() : autopick(sp[:color_palette], n)
|
||||
elseif isa(c, Int)
|
||||
c = autopick(sp[:color_palette], c)
|
||||
end
|
||||
plot_color(c)
|
||||
end
|
||||
|
||||
function getSeriesRGBColor(c::AbstractArray, sp::Subplot, n::Int)
|
||||
map(x->getSeriesRGBColor(x, sp, n), c)
|
||||
function get_series_color(c::AbstractArray, sp::Subplot, n::Int, seriestype)
|
||||
map(x->get_series_color(x, sp, n, seriestype), c)
|
||||
end
|
||||
|
||||
function ensure_gradient!(plotattributes::KW, csym::Symbol, asym::Symbol)
|
||||
@@ -1565,21 +1572,23 @@ function _update_series_attributes!(plotattributes::KW, plt::Plot, sp::Subplot)
|
||||
end
|
||||
|
||||
# update series color
|
||||
plotattributes[:seriescolor] = getSeriesRGBColor(plotattributes[:seriescolor], sp, plotIndex)
|
||||
scolor = plotattributes[:seriescolor]
|
||||
stype = plotattributes[:seriestype]
|
||||
plotattributes[:seriescolor] = scolor = get_series_color(scolor, sp, plotIndex, stype)
|
||||
|
||||
# update other colors
|
||||
for s in (:line, :marker, :fill)
|
||||
csym, asym = Symbol(s,:color), Symbol(s,:alpha)
|
||||
plotattributes[csym] = if plotattributes[csym] == :auto
|
||||
plot_color(if has_black_border_for_default(plotattributes[:seriestype]) && s == :line
|
||||
plot_color(if has_black_border_for_default(stype) && s == :line
|
||||
sp[:foreground_color_subplot]
|
||||
else
|
||||
plotattributes[:seriescolor]
|
||||
scolor
|
||||
end)
|
||||
elseif plotattributes[csym] == :match
|
||||
plot_color(plotattributes[:seriescolor])
|
||||
plot_color(scolor)
|
||||
else
|
||||
getSeriesRGBColor(plotattributes[csym], sp, plotIndex)
|
||||
get_series_color(plotattributes[csym], sp, plotIndex, stype)
|
||||
end
|
||||
end
|
||||
|
||||
@@ -1587,9 +1596,9 @@ function _update_series_attributes!(plotattributes::KW, plt::Plot, sp::Subplot)
|
||||
plotattributes[:markerstrokecolor] = if plotattributes[:markerstrokecolor] == :match
|
||||
plot_color(sp[:foreground_color_subplot])
|
||||
elseif plotattributes[:markerstrokecolor] == :auto
|
||||
getSeriesRGBColor(plotattributes[:markercolor], sp, plotIndex)
|
||||
get_series_color(plotattributes[:markercolor], sp, plotIndex, stype)
|
||||
else
|
||||
getSeriesRGBColor(plotattributes[:markerstrokecolor], sp, plotIndex)
|
||||
get_series_color(plotattributes[:markerstrokecolor], sp, plotIndex, stype)
|
||||
end
|
||||
|
||||
# if marker_z, fill_z or line_z are set, ensure we have a gradient
|
||||
|
||||
+12
-12
@@ -117,7 +117,7 @@ end
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
Base.show(io::IO, axis::Axis) = dumpdict(axis.plotattributes, "Axis", true)
|
||||
Base.show(io::IO, axis::Axis) = dumpdict(io, axis.plotattributes, "Axis", true)
|
||||
# Base.getindex(axis::Axis, k::Symbol) = getindex(axis.plotattributes, k)
|
||||
Base.setindex!(axis::Axis, v, ks::Symbol...) = setindex!(axis.plotattributes, v, ks...)
|
||||
Base.haskey(axis::Axis, k::Symbol) = haskey(axis.plotattributes, k)
|
||||
@@ -240,7 +240,7 @@ end
|
||||
# return (continuous_values, discrete_values) for the ticks on this axis
|
||||
function get_ticks(axis::Axis)
|
||||
ticks = _transform_ticks(axis[:ticks])
|
||||
ticks in (nothing, false) && return nothing
|
||||
ticks in (:none, nothing, false) && return nothing
|
||||
|
||||
# treat :native ticks as :auto
|
||||
ticks = ticks == :native ? :auto : ticks
|
||||
@@ -251,7 +251,7 @@ function get_ticks(axis::Axis)
|
||||
# discrete ticks...
|
||||
n = length(dvals)
|
||||
rng = if ticks == :auto
|
||||
Int[round(Int,i) for i in range(1, stop=n, length=15)]
|
||||
Int[round(Int,i) for i in range(1, stop=n, length=min(n,15))]
|
||||
else # if ticks == :all
|
||||
1:n
|
||||
end
|
||||
@@ -287,7 +287,7 @@ _transform_ticks(ticks::AbstractArray{T}) where T <: Dates.TimeType = Dates.valu
|
||||
_transform_ticks(ticks::NTuple{2, Any}) = (_transform_ticks(ticks[1]), ticks[2])
|
||||
|
||||
function get_minor_ticks(axis,ticks)
|
||||
axis[:minorticks] in (nothing, false) && !axis[:minorgrid] && return nothing
|
||||
axis[:minorticks] in (:none, nothing, false) && !axis[:minorgrid] && return nothing
|
||||
ticks = ticks[1]
|
||||
length(ticks) < 2 && return nothing
|
||||
|
||||
@@ -459,7 +459,7 @@ const _widen_seriestypes = (:line, :path, :steppre, :steppost, :sticks, :scatter
|
||||
|
||||
function default_should_widen(axis::Axis)
|
||||
should_widen = false
|
||||
if !is_2tuple(axis[:lims])
|
||||
if !(is_2tuple(axis[:lims]) || axis[:lims] == :round)
|
||||
for sp in axis.sps
|
||||
for series in series_list(sp)
|
||||
if series.plotattributes[:seriestype] in _widen_seriestypes
|
||||
@@ -502,7 +502,7 @@ function axis_limits(axis::Axis, should_widen::Bool = default_should_widen(axis)
|
||||
amin, amax = 0, 2pi
|
||||
elseif lims == :auto
|
||||
#widen max radius so ticks dont overlap with theta axis
|
||||
amin, amax + 0.1 * abs(amax - amin)
|
||||
0, amax + 0.1 * abs(amax - amin)
|
||||
else
|
||||
amin, amax
|
||||
end
|
||||
@@ -614,14 +614,14 @@ function axis_drawing_info(sp::Subplot)
|
||||
end
|
||||
push!(xaxis_segs, (xmin, y1), (xmax, y1))
|
||||
# don't show the 0 tick label for the origin framestyle
|
||||
if sp[:framestyle] == :origin && !(xticks in (nothing,false)) && length(xticks) > 1
|
||||
if sp[:framestyle] == :origin && !(xticks in (:none, nothing, false)) && length(xticks) > 1
|
||||
showticks = xticks[1] .!= 0
|
||||
xticks = (xticks[1][showticks], xticks[2][showticks])
|
||||
end
|
||||
end
|
||||
sp[:framestyle] in (:semi, :box) && push!(xborder_segs, (xmin, y2), (xmax, y2)) # top spine
|
||||
end
|
||||
if !(xaxis[:ticks] in (nothing, false))
|
||||
if !(xaxis[:ticks] in (:none, nothing, false))
|
||||
f = scalefunc(yaxis[:scale])
|
||||
invf = invscalefunc(yaxis[:scale])
|
||||
ticks_in = xaxis[:tick_direction] == :out ? -1 : 1
|
||||
@@ -642,7 +642,7 @@ function axis_drawing_info(sp::Subplot)
|
||||
xaxis[:grid] && push!(xgrid_segs, (xtick, ymin), (xtick, ymax)) # vertical grid
|
||||
end
|
||||
end
|
||||
if !(xaxis[:minorticks] in (nothing, false)) || xaxis[:minorgrid]
|
||||
if !(xaxis[:minorticks] in (:none, nothing, false)) || xaxis[:minorgrid]
|
||||
f = scalefunc(yaxis[:scale])
|
||||
invf = invscalefunc(yaxis[:scale])
|
||||
ticks_in = xaxis[:tick_direction] == :out ? -1 : 1
|
||||
@@ -675,14 +675,14 @@ function axis_drawing_info(sp::Subplot)
|
||||
end
|
||||
push!(yaxis_segs, (x1, ymin), (x1, ymax))
|
||||
# don't show the 0 tick label for the origin framestyle
|
||||
if sp[:framestyle] == :origin && !(yticks in (nothing,false)) && length(yticks) > 1
|
||||
if sp[:framestyle] == :origin && !(yticks in (:none, nothing,false)) && length(yticks) > 1
|
||||
showticks = yticks[1] .!= 0
|
||||
yticks = (yticks[1][showticks], yticks[2][showticks])
|
||||
end
|
||||
end
|
||||
sp[:framestyle] in (:semi, :box) && push!(yborder_segs, (x2, ymin), (x2, ymax)) # right spine
|
||||
end
|
||||
if !(yaxis[:ticks] in (nothing, false))
|
||||
if !(yaxis[:ticks] in (:none, nothing, false))
|
||||
f = scalefunc(xaxis[:scale])
|
||||
invf = invscalefunc(xaxis[:scale])
|
||||
ticks_in = yaxis[:tick_direction] == :out ? -1 : 1
|
||||
@@ -703,7 +703,7 @@ function axis_drawing_info(sp::Subplot)
|
||||
yaxis[:grid] && push!(ygrid_segs, (xmin, ytick), (xmax, ytick)) # horizontal grid
|
||||
end
|
||||
end
|
||||
if !(yaxis[:minorticks] in (nothing, false)) || yaxis[:minorgrid]
|
||||
if !(yaxis[:minorticks] in (:none, nothing, false)) || yaxis[:minorgrid]
|
||||
f = scalefunc(xaxis[:scale])
|
||||
invf = invscalefunc(xaxis[:scale])
|
||||
ticks_in = yaxis[:tick_direction] == :out ? -1 : 1
|
||||
|
||||
+42
-179
@@ -7,16 +7,20 @@ const _backendSymbol = Dict{DataType, Symbol}(NoBackend => :none)
|
||||
const _backends = Symbol[]
|
||||
const _initialized_backends = Set{Symbol}()
|
||||
const _default_backends = (:none, :gr, :plotly)
|
||||
const _backendPackage = Dict{Symbol, Symbol}()
|
||||
|
||||
const _backend_packages = Dict{Symbol, Symbol}()
|
||||
|
||||
"Returns a list of supported backends"
|
||||
backends() = _backends
|
||||
|
||||
"Returns the name of the current backend"
|
||||
backend_name() = CURRENT_BACKEND.sym
|
||||
_backend_instance(sym::Symbol) = haskey(_backendType, sym) ? _backendType[sym]() : error("Unsupported backend $sym")
|
||||
backend_package(pkg::Symbol) = pkg in _default_backends ? :Plots : Symbol("Plots", _backendPackage[pkg])
|
||||
backend_package_name(sym::Symbol) = sym in _default_backends ? :Plots : _backendPackage[sym]
|
||||
|
||||
function _backend_instance(sym::Symbol)::AbstractBackend
|
||||
haskey(_backendType, sym) ? _backendType[sym]() : error("Unsupported backend $sym")
|
||||
end
|
||||
|
||||
backend_package_name(sym::Symbol) = _backend_packages[sym]
|
||||
|
||||
macro init_backend(s)
|
||||
package_str = string(s)
|
||||
@@ -26,13 +30,13 @@ macro init_backend(s)
|
||||
esc(quote
|
||||
struct $T <: AbstractBackend end
|
||||
export $sym
|
||||
$sym(; kw...) = (default(; kw...); backend(Symbol($str)))
|
||||
$sym(; kw...) = (default(; kw...); backend($T()))
|
||||
backend_name(::$T) = Symbol($str)
|
||||
backend_package_name(pkg::$T) = backend_package_name(Symbol($str))
|
||||
push!(_backends, Symbol($str))
|
||||
_backendType[Symbol($str)] = $T
|
||||
_backendSymbol[$T] = Symbol($str)
|
||||
_backendPackage[Symbol($str)] = Symbol($package_str)
|
||||
_backend_packages[Symbol($str)] = Symbol($package_str)
|
||||
# include("backends/" * $str * ".jl")
|
||||
end)
|
||||
end
|
||||
@@ -42,12 +46,6 @@ end
|
||||
|
||||
# ---------------------------------------------------------
|
||||
|
||||
function add_backend(pkg::Symbol)
|
||||
@info("To do a standard install of $pkg, copy and run this:\n\n")
|
||||
println(add_backend_string(_backend_instance(pkg)))
|
||||
println()
|
||||
end
|
||||
|
||||
# don't do anything as a default
|
||||
_create_backend_figure(plt::Plot) = nothing
|
||||
_prepare_plot_object(plt::Plot) = nothing
|
||||
@@ -138,33 +136,27 @@ CurrentBackend(sym::Symbol) = CurrentBackend(sym, _backend_instance(sym))
|
||||
|
||||
# ---------------------------------------------------------
|
||||
|
||||
function pickDefaultBackend()
|
||||
_fallback_default_backend() = backend(GRBackend())
|
||||
|
||||
function _pick_default_backend()
|
||||
env_default = get(ENV, "PLOTS_DEFAULT_BACKEND", "")
|
||||
if env_default != ""
|
||||
sym = Symbol(lowercase(env_default))
|
||||
if sym in _backends
|
||||
if sym in _initialized_backends
|
||||
return backend(sym)
|
||||
backend(sym)
|
||||
else
|
||||
@warn("You have set `PLOTS_DEFAULT_BACKEND=$env_default` but `$(backend_package_name(sym))` is not loaded.")
|
||||
_fallback_default_backend()
|
||||
end
|
||||
else
|
||||
@warn("You have set PLOTS_DEFAULT_BACKEND=$env_default but it is not a valid backend package. Choose from:\n\t" *
|
||||
join(sort(_backends), "\n\t"))
|
||||
_fallback_default_backend()
|
||||
end
|
||||
else
|
||||
_fallback_default_backend()
|
||||
end
|
||||
|
||||
# the ordering/inclusion of this package list is my semi-arbitrary guess at
|
||||
# which one someone will want to use if they have the package installed...accounting for
|
||||
# features, speed, and robustness
|
||||
# for pkgstr in ("GR", "PyPlot", "PlotlyJS", "PGFPlots", "UnicodePlots", "InspectDR", "GLVisualize")
|
||||
# if pkgstr in keys(Pkg.installed())
|
||||
# return backend(Symbol(lowercase(pkgstr)))
|
||||
# end
|
||||
# end
|
||||
|
||||
# the default if nothing else is installed
|
||||
backend(:gr)
|
||||
end
|
||||
|
||||
|
||||
@@ -174,13 +166,11 @@ end
|
||||
Returns the current plotting package name. Initializes package on first call.
|
||||
"""
|
||||
function backend()
|
||||
if CURRENT_BACKEND.sym == :none
|
||||
_pick_default_backend()
|
||||
end
|
||||
|
||||
global CURRENT_BACKEND
|
||||
if CURRENT_BACKEND.sym == :none
|
||||
pickDefaultBackend()
|
||||
end
|
||||
|
||||
CURRENT_BACKEND.pkg
|
||||
CURRENT_BACKEND.pkg
|
||||
end
|
||||
|
||||
"""
|
||||
@@ -188,20 +178,13 @@ Set the plot backend.
|
||||
"""
|
||||
function backend(pkg::AbstractBackend)
|
||||
sym = backend_name(pkg)
|
||||
if sym in _initialized_backends
|
||||
CURRENT_BACKEND.sym = backend_name(pkg)
|
||||
CURRENT_BACKEND.pkg = pkg
|
||||
else
|
||||
# try
|
||||
_initialize_backend(pkg)
|
||||
push!(_initialized_backends, sym)
|
||||
CURRENT_BACKEND.sym = backend_name(pkg)
|
||||
CURRENT_BACKEND.pkg = pkg
|
||||
# catch
|
||||
# add_backend(sym)
|
||||
# end
|
||||
if !(sym in _initialized_backends)
|
||||
_initialize_backend(pkg)
|
||||
push!(_initialized_backends, sym)
|
||||
end
|
||||
backend()
|
||||
CURRENT_BACKEND.sym = sym
|
||||
CURRENT_BACKEND.pkg = pkg
|
||||
pkg
|
||||
end
|
||||
|
||||
function backend(sym::Symbol)
|
||||
@@ -209,15 +192,15 @@ function backend(sym::Symbol)
|
||||
backend(_backend_instance(sym))
|
||||
else
|
||||
@warn("`:$sym` is not a supported backend.")
|
||||
backend()
|
||||
end
|
||||
backend()
|
||||
end
|
||||
|
||||
const _deprecated_backends = [:qwt, :winston, :bokeh, :gadfly, :immerse]
|
||||
const _deprecated_backends = [:qwt, :winston, :bokeh, :gadfly, :immerse, :glvisualize]
|
||||
|
||||
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 $bsym has been deprecated.")
|
||||
end
|
||||
end
|
||||
|
||||
@@ -268,17 +251,11 @@ end
|
||||
|
||||
|
||||
|
||||
# @init_backend Immerse
|
||||
# @init_backend Gadfly
|
||||
@init_backend PyPlot
|
||||
# @init_backend Qwt
|
||||
@init_backend UnicodePlots
|
||||
# @init_backend Winston
|
||||
# @init_backend Bokeh
|
||||
@init_backend Plotly
|
||||
@init_backend PlotlyJS
|
||||
@init_backend GR
|
||||
@init_backend GLVisualize
|
||||
@init_backend PGFPlots
|
||||
@init_backend InspectDR
|
||||
@init_backend HDF5
|
||||
@@ -322,13 +299,10 @@ function _initialize_backend(pkg::AbstractBackend)
|
||||
end
|
||||
end
|
||||
|
||||
function add_backend_string(pkg::AbstractBackend)
|
||||
sym = backend_package_name(pkg)
|
||||
"""
|
||||
using Pkg
|
||||
Pkg.add("$sym")
|
||||
"""
|
||||
end
|
||||
_initialize_backend(pkg::GRBackend) = nothing
|
||||
|
||||
_initialize_backend(pkg::PlotlyBackend) = nothing
|
||||
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
# gr
|
||||
@@ -358,7 +332,7 @@ const _gr_attr = merge_with_base_supported([
|
||||
:guidefontfamily, :guidefontsize, :guidefonthalign, :guidefontvalign,
|
||||
:guidefontrotation, :guidefontcolor,
|
||||
:grid, :gridalpha, :gridstyle, :gridlinewidth,
|
||||
:legend, :legendtitle, :colorbar, :colorbar_title,
|
||||
:legend, :legendtitle, :colorbar, :colorbar_title, :colorbar_entry,
|
||||
:fill_z, :line_z, :marker_z, :levels,
|
||||
:ribbon, :quiver,
|
||||
:orientation,
|
||||
@@ -377,7 +351,7 @@ const _gr_attr = merge_with_base_supported([
|
||||
const _gr_seriestype = [
|
||||
:path, :scatter, :straightline,
|
||||
:heatmap, :pie, :image,
|
||||
:contour, :path3d, :scatter3d, :surface, :wireframe,
|
||||
:contour, :path3d, :scatter3d, :surface, :wireframe, :volume,
|
||||
:shape
|
||||
]
|
||||
const _gr_style = [:auto, :solid, :dash, :dot, :dashdot, :dashdotdot]
|
||||
@@ -385,13 +359,6 @@ const _gr_marker = _allMarkers
|
||||
const _gr_scale = [:identity, :log10]
|
||||
is_marker_supported(::GRBackend, shape::Shape) = true
|
||||
|
||||
function add_backend_string(::GRBackend)
|
||||
"""
|
||||
Pkg.add("GR")
|
||||
Pkg.build("GR")
|
||||
"""
|
||||
end
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
# plotly
|
||||
|
||||
@@ -419,7 +386,7 @@ const _plotly_attr = merge_with_base_supported([
|
||||
:guide, :lims, :ticks, :scale, :flip, :rotation,
|
||||
:tickfont, :guidefont, :legendfont,
|
||||
:grid, :gridalpha, :gridlinewidth,
|
||||
:legend, :colorbar, :colorbar_title,
|
||||
:legend, :colorbar, :colorbar_title, :colorbar_entry,
|
||||
:marker_z, :fill_z, :line_z, :levels,
|
||||
:ribbon, :quiver,
|
||||
:orientation,
|
||||
@@ -450,82 +417,11 @@ const _plotly_marker = [
|
||||
]
|
||||
const _plotly_scale = [:identity, :log10]
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
# glvisualize
|
||||
|
||||
function _initialize_backend(::GLVisualizeBackend; kw...)
|
||||
@eval Main begin
|
||||
import GLVisualize, GeometryTypes, Reactive, GLAbstraction, GLWindow, Contour
|
||||
import GeometryTypes: Point2f0, Point3f0, Vec2f0, Vec3f0, GLNormalMesh, SimpleRectangle, Point, Vec
|
||||
import FileIO, Images
|
||||
export GLVisualize
|
||||
import Reactive: Signal
|
||||
import GLAbstraction: Style
|
||||
import GLVisualize: visualize
|
||||
import Plots.GL
|
||||
import UnicodeFun
|
||||
end
|
||||
end
|
||||
|
||||
const _glvisualize_attr = merge_with_base_supported([
|
||||
:annotations,
|
||||
:background_color_legend, :background_color_inside, :background_color_outside,
|
||||
:foreground_color_grid, :foreground_color_legend, :foreground_color_title,
|
||||
:foreground_color_axis, :foreground_color_border, :foreground_color_guide, :foreground_color_text,
|
||||
:label,
|
||||
:linecolor, :linestyle, :linewidth, :linealpha,
|
||||
:markershape, :markercolor, :markersize, :markeralpha,
|
||||
:markerstrokewidth, :markerstrokecolor, :markerstrokealpha,
|
||||
:fillrange, :fillcolor, :fillalpha,
|
||||
:bins, :bar_width, :bar_edges, :bar_position,
|
||||
:title, :title_location,
|
||||
:window_title,
|
||||
:guide, :lims, :ticks, :scale, :flip, :rotation,
|
||||
:titlefontsize, :titlefontcolor,
|
||||
:legendfontsize, :legendfontcolor,
|
||||
:tickfontsize,
|
||||
:guidefontsize, :guidefontcolor,
|
||||
:grid, :gridalpha, :gridstyle, :gridlinewidth,
|
||||
:legend, :colorbar,
|
||||
:marker_z,
|
||||
:line_z,
|
||||
:levels,
|
||||
:ribbon, :quiver, :arrow,
|
||||
:orientation,
|
||||
:overwrite_figure,
|
||||
#:polar,
|
||||
:normalize, :weights,
|
||||
:contours, :aspect_ratio,
|
||||
:match_dimensions,
|
||||
:clims,
|
||||
:inset_subplots,
|
||||
:dpi,
|
||||
:hover,
|
||||
:framestyle,
|
||||
:tick_direction,
|
||||
])
|
||||
const _glvisualize_seriestype = [
|
||||
:path, :shape, :straightline,
|
||||
:scatter, :hexbin,
|
||||
:bar, :boxplot,
|
||||
:heatmap, :image, :volume,
|
||||
:contour, :contour3d, :path3d, :scatter3d, :surface, :wireframe
|
||||
]
|
||||
const _glvisualize_style = [:auto, :solid, :dash, :dot, :dashdot]
|
||||
const _glvisualize_marker = _allMarkers
|
||||
const _glvisualize_scale = [:identity, :ln, :log2, :log10]
|
||||
defaultOutputFormat(plt::Plot{Plots.PlotlyBackend}) = "html"
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
# pgfplots
|
||||
|
||||
function add_backend_string(::PGFPlotsBackend)
|
||||
"""
|
||||
using Pkg
|
||||
Pkg.add("PGFPlots")
|
||||
Pkg.build("PGFPlots")
|
||||
"""
|
||||
end
|
||||
|
||||
const _pgfplots_attr = merge_with_base_supported([
|
||||
:annotations,
|
||||
:background_color_legend,
|
||||
@@ -563,29 +459,19 @@ const _pgfplots_attr = merge_with_base_supported([
|
||||
])
|
||||
const _pgfplots_seriestype = [:path, :path3d, :scatter, :steppre, :stepmid, :steppost, :histogram2d, :ysticks, :xsticks, :contour, :shape, :straightline,]
|
||||
const _pgfplots_style = [:auto, :solid, :dash, :dot, :dashdot, :dashdotdot]
|
||||
const _pgfplots_marker = [:none, :auto, :circle, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5, :pentagon, :hline] #vcat(_allMarkers, Shape)
|
||||
const _pgfplots_marker = [:none, :auto, :circle, :rect, :diamond, :utriangle, :dtriangle, :cross, :xcross, :star5, :pentagon, :hline, :vline] #vcat(_allMarkers, Shape)
|
||||
const _pgfplots_scale = [:identity, :ln, :log2, :log10]
|
||||
|
||||
# ------------------------------------------------------------------------------
|
||||
# plotlyjs
|
||||
|
||||
function _initialize_backend(pkg::PlotlyJSBackend)
|
||||
sym = backend_package_name(pkg)
|
||||
@eval Main begin
|
||||
import PlotlyJS, ORCA
|
||||
export PlotlyJS
|
||||
end
|
||||
end
|
||||
|
||||
function add_backend_string(::PlotlyJSBackend)
|
||||
"""
|
||||
using Pkg
|
||||
Pkg.add(["PlotlyJS", "Blink", "ORCA"])
|
||||
import Blink
|
||||
Blink.AtomShell.install()
|
||||
"""
|
||||
end
|
||||
|
||||
const _plotlyjs_attr = _plotly_attr
|
||||
const _plotlyjs_seriestype = _plotly_seriestype
|
||||
const _plotlyjs_style = _plotly_style
|
||||
@@ -597,8 +483,7 @@ const _plotlyjs_scale = _plotly_scale
|
||||
|
||||
function _initialize_backend(::PyPlotBackend)
|
||||
@eval Main begin
|
||||
import PyPlot, PyCall
|
||||
import LaTeXStrings
|
||||
import PyPlot
|
||||
|
||||
export PyPlot
|
||||
|
||||
@@ -607,19 +492,6 @@ function _initialize_backend(::PyPlotBackend)
|
||||
end
|
||||
end
|
||||
|
||||
function add_backend_string(::PyPlotBackend)
|
||||
"""
|
||||
using Pkg
|
||||
Pkg.add("PyPlot")
|
||||
Pkg.add("PyCall")
|
||||
Pkg.add("LaTeXStrings")
|
||||
withenv("PYTHON" => "") do
|
||||
Pkg.build("PyCall")
|
||||
Pkg.build("PyPlot")
|
||||
end
|
||||
"""
|
||||
end
|
||||
|
||||
const _pyplot_attr = merge_with_base_supported([
|
||||
:annotations,
|
||||
:background_color_legend, :background_color_inside, :background_color_outside,
|
||||
@@ -639,7 +511,7 @@ const _pyplot_attr = merge_with_base_supported([
|
||||
:tickfontfamily, :tickfontsize, :tickfontcolor,
|
||||
:guidefontfamily, :guidefontsize, :guidefontcolor,
|
||||
:grid, :gridalpha, :gridstyle, :gridlinewidth,
|
||||
:legend, :legendtitle, :colorbar,
|
||||
:legend, :legendtitle, :colorbar, :colorbar_title, :colorbar_entry,
|
||||
:marker_z, :line_z, :fill_z,
|
||||
:levels,
|
||||
:ribbon, :quiver, :arrow,
|
||||
@@ -652,7 +524,6 @@ const _pyplot_attr = merge_with_base_supported([
|
||||
:clims,
|
||||
:inset_subplots,
|
||||
:dpi,
|
||||
:colorbar_title,
|
||||
:stride,
|
||||
:framestyle,
|
||||
:tick_direction,
|
||||
@@ -673,14 +544,6 @@ const _pyplot_scale = [:identity, :ln, :log2, :log10]
|
||||
# ------------------------------------------------------------------------------
|
||||
# unicodeplots
|
||||
|
||||
function add_backend_string(::UnicodePlotsBackend)
|
||||
"""
|
||||
using Pkg
|
||||
Pkg.add("UnicodePlots")
|
||||
Pkg.build("UnicodePlots")
|
||||
"""
|
||||
end
|
||||
|
||||
const _unicodeplots_attr = merge_with_base_supported([
|
||||
:label,
|
||||
:legend,
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
+391
-183
@@ -6,6 +6,7 @@
|
||||
import GR
|
||||
export GR
|
||||
|
||||
|
||||
# --------------------------------------------------------------------------------------
|
||||
|
||||
const gr_linetype = KW(
|
||||
@@ -78,7 +79,10 @@ gr_set_fillcolor(c) = GR.setfillcolorind(gr_getcolorind(_cycle(c,1)))
|
||||
gr_set_markercolor(c) = GR.setmarkercolorind(gr_getcolorind(_cycle(c,1)))
|
||||
gr_set_textcolor(c) = GR.settextcolorind(gr_getcolorind(_cycle(c,1)))
|
||||
gr_set_transparency(α::Real) = GR.settransparency(clamp(α, 0, 1))
|
||||
function gr_set_transparency(::Nothing) end
|
||||
gr_set_transparency(::Nothing) = GR.settransparency(1)
|
||||
gr_set_transparency(c, α) = gr_set_transparency(α)
|
||||
gr_set_transparency(c::Colorant, ::Nothing) = gr_set_transparency(c)
|
||||
gr_set_transparency(c::Colorant) = GR.settransparency(alpha(c))
|
||||
|
||||
# --------------------------------------------------------------------------------------
|
||||
|
||||
@@ -166,7 +170,7 @@ function gr_polaraxes(rmin::Real, rmax::Real, sp::Subplot)
|
||||
#draw angular grid
|
||||
if xaxis[:grid]
|
||||
gr_set_line(xaxis[:gridlinewidth], xaxis[:gridstyle], xaxis[:foreground_color_grid])
|
||||
gr_set_transparency(xaxis[:gridalpha])
|
||||
gr_set_transparency(xaxis[:foreground_color_grid], xaxis[:gridalpha])
|
||||
for i in 1:length(α)
|
||||
GR.polyline([sinf[i], 0], [cosf[i], 0])
|
||||
end
|
||||
@@ -175,7 +179,7 @@ function gr_polaraxes(rmin::Real, rmax::Real, sp::Subplot)
|
||||
#draw radial grid
|
||||
if yaxis[:grid]
|
||||
gr_set_line(yaxis[:gridlinewidth], yaxis[:gridstyle], yaxis[:foreground_color_grid])
|
||||
gr_set_transparency(yaxis[:gridalpha])
|
||||
gr_set_transparency(yaxis[:foreground_color_grid], yaxis[:gridalpha])
|
||||
for i in 1:length(rtick_values)
|
||||
r = (rtick_values[i] - rmin) / (rmax - rmin)
|
||||
if r <= 1.0 && r >= 0.0
|
||||
@@ -235,6 +239,7 @@ end
|
||||
function gr_fill_viewport(vp::AVec{Float64}, c)
|
||||
GR.savestate()
|
||||
GR.selntran(0)
|
||||
GR.setscale(0)
|
||||
GR.setfillintstyle(GR.INTSTYLE_SOLID)
|
||||
gr_set_fillcolor(c)
|
||||
GR.fillrect(vp...)
|
||||
@@ -294,15 +299,17 @@ function gr_draw_markers(series::Series, x, y, clims, msize = series[:markersize
|
||||
|
||||
# draw a filled in shape, slightly bigger, to estimate a stroke
|
||||
if series[:markerstrokewidth] > 0
|
||||
cfunc(get_markerstrokecolor(series, i))
|
||||
gr_set_transparency(get_markerstrokealpha(series, i))
|
||||
c = get_markerstrokecolor(series, i)
|
||||
cfunc(c)
|
||||
gr_set_transparency(c, get_markerstrokealpha(series, i))
|
||||
gr_draw_marker(x[i], y[i], msi + series[:markerstrokewidth], shape)
|
||||
end
|
||||
|
||||
# draw the shape - don't draw filled area if marker shape is 1D
|
||||
if !(shape in (:hline, :vline, :+, :x))
|
||||
cfunc(get_markercolor(series, clims, i))
|
||||
gr_set_transparency(get_markeralpha(series, i))
|
||||
c = get_markercolor(series, clims, i)
|
||||
cfunc(c)
|
||||
gr_set_transparency(c, get_markeralpha(series, i))
|
||||
gr_draw_marker(x[i], y[i], msi, shape)
|
||||
end
|
||||
end
|
||||
@@ -413,17 +420,100 @@ function gr_set_viewport_polar()
|
||||
r
|
||||
end
|
||||
|
||||
struct GRColorbar
|
||||
gradient::Ref{Union{Series,Nothing}}
|
||||
fill::Ref{Union{Series,Nothing}}
|
||||
lines::Ref{Union{Series,Nothing}}
|
||||
GRColorbar() = new(nothing,nothing,nothing)
|
||||
end
|
||||
|
||||
function gr_update_colorbar!(cbar::GRColorbar, series::Series)
|
||||
style = colorbar_style(series)
|
||||
style === nothing && return
|
||||
ref = style == cbar_gradient ? cbar.gradient :
|
||||
style == cbar_fill ? cbar.fill :
|
||||
style == cbar_lines ? cbar.lines :
|
||||
error("Unknown colorbar style: $style.")
|
||||
if ref[] !== nothing
|
||||
@warn "Overwriting colorbar entry"
|
||||
end
|
||||
ref[] = series
|
||||
end
|
||||
|
||||
function gr_contour_levels(series::Series, clims)
|
||||
levels = contour_levels(series, clims)
|
||||
if isfilledcontour(series)
|
||||
# GR implicitly uses the maximal z value as the highest level
|
||||
levels = levels[1:end-1]
|
||||
end
|
||||
levels
|
||||
end
|
||||
|
||||
function gr_colorbar_colors(series::Series, clims)
|
||||
if iscontour(series)
|
||||
levels = gr_contour_levels(series, clims)
|
||||
if isfilledcontour(series)
|
||||
# GR.contourf uses a color range according to supplied levels
|
||||
zrange = ignorenan_extrema(levels)
|
||||
else
|
||||
# GR.contour uses a color range according to data range
|
||||
zrange = clims
|
||||
end
|
||||
colors = 1000 .+ 255 .* (levels .- zrange[1]) ./ (zrange[2] - zrange[1])
|
||||
else
|
||||
colors = 1000:1255
|
||||
end
|
||||
round.(Int,colors)
|
||||
end
|
||||
|
||||
# add the colorbar
|
||||
function gr_colorbar(sp::Subplot, clims)
|
||||
function gr_draw_colorbar(cbar::GRColorbar, sp::Subplot, clims)
|
||||
GR.savestate()
|
||||
xmin, xmax = gr_xy_axislims(sp)[1:2]
|
||||
zmin, zmax = clims[1:2]
|
||||
gr_set_viewport_cmap(sp)
|
||||
l = zeros(Int32, 1, 256)
|
||||
l[1,:] = Int[round(Int, _i) for _i in range(1000, stop=1255, length=256)]
|
||||
GR.setscale(0)
|
||||
GR.setwindow(xmin, xmax, clims[1], clims[2])
|
||||
GR.cellarray(xmin, xmax, clims[2], clims[1], 1, length(l), l)
|
||||
ztick = 0.5 * GR.tick(clims[1], clims[2])
|
||||
GR.axes(0, ztick, xmax, clims[1], 0, 1, 0.005)
|
||||
GR.setwindow(xmin, xmax, zmin, zmax)
|
||||
if (series = cbar.gradient[]) !== nothing
|
||||
gr_set_gradient(series)
|
||||
gr_set_transparency(get_fillalpha(series))
|
||||
GR.cellarray(xmin, xmax, zmax, zmin, 1, 256, 1000:1255)
|
||||
end
|
||||
|
||||
if (series = cbar.fill[]) !== nothing
|
||||
gr_set_gradient(series)
|
||||
GR.setfillintstyle(GR.INTSTYLE_SOLID)
|
||||
levels = contour_levels(series, clims)
|
||||
# GR implicitly uses the maximal z value as the highest level
|
||||
if levels[end] < clims[2]
|
||||
@warn("GR: highest contour level less than maximal z value is not supported.")
|
||||
# replace levels, rather than assign to levels[end], to ensure type
|
||||
# promotion in case levels is an integer array
|
||||
levels = [levels[1:end-1]; clims[2]]
|
||||
end
|
||||
colors = gr_colorbar_colors(series, clims)
|
||||
for (from, to, color) in zip(levels[1:end-1], levels[2:end], colors)
|
||||
GR.setfillcolorind(color)
|
||||
gr_set_transparency(get_fillalpha(series))
|
||||
GR.fillrect( xmin, xmax, from, to )
|
||||
end
|
||||
end
|
||||
|
||||
if (series = cbar.lines[]) !== nothing
|
||||
gr_set_gradient(series)
|
||||
gr_set_line(get_linewidth(series), get_linestyle(series), get_linecolor(series, clims))
|
||||
gr_set_transparency(get_linealpha(series))
|
||||
levels = contour_levels(series, clims)
|
||||
colors = gr_colorbar_colors(series, clims)
|
||||
for (line, color) in zip(levels, colors)
|
||||
GR.setlinecolorind(color)
|
||||
GR.polyline([xmin,xmax], [line,line] )
|
||||
end
|
||||
end
|
||||
|
||||
ztick = 0.5 * GR.tick(zmin, zmax)
|
||||
gr_set_line(1, :solid, plot_color(:black))
|
||||
GR.axes(0, ztick, xmax, zmin, 0, 1, 0.005)
|
||||
|
||||
gr_set_font(guidefont(sp[:yaxis]))
|
||||
GR.settextalign(GR.TEXT_HALIGN_CENTER, GR.TEXT_VALIGN_TOP)
|
||||
@@ -431,28 +521,52 @@ function gr_colorbar(sp::Subplot, clims)
|
||||
gr_text(viewport_plotarea[2] + gr_colorbar_ratio,
|
||||
gr_view_ycenter(), sp[:colorbar_title])
|
||||
|
||||
gr_set_viewport_plotarea()
|
||||
GR.restorestate()
|
||||
end
|
||||
|
||||
gr_view_xcenter() = 0.5 * (viewport_plotarea[1] + viewport_plotarea[2])
|
||||
gr_view_ycenter() = 0.5 * (viewport_plotarea[3] + viewport_plotarea[4])
|
||||
|
||||
function gr_legend_pos(s::Symbol,w,h)
|
||||
function gr_legend_pos(sp::Subplot, w, h)
|
||||
s = sp[:legend]
|
||||
typeof(s) <: Symbol || return gr_legend_pos(s, w, h)
|
||||
str = string(s)
|
||||
if str == "best"
|
||||
str = "topright"
|
||||
end
|
||||
if occursin("outer", str)
|
||||
xaxis, yaxis = sp[:xaxis], sp[:yaxis]
|
||||
xmirror = xaxis[:guide_position] == :top || (xaxis[:guide_position] == :auto && xaxis[:mirror] == true)
|
||||
ymirror = yaxis[:guide_position] == :right || (yaxis[:guide_position] == :auto && yaxis[:mirror] == true)
|
||||
end
|
||||
if occursin("right", str)
|
||||
xpos = viewport_plotarea[2] - 0.05 - w
|
||||
if occursin("outer", str)
|
||||
# As per https://github.com/jheinen/GR.jl/blob/master/src/jlgr.jl#L525
|
||||
xpos = viewport_plotarea[2] + 0.11 + ymirror * gr_yaxis_width(sp)
|
||||
else
|
||||
xpos = viewport_plotarea[2] - 0.05 - w
|
||||
end
|
||||
elseif occursin("left", str)
|
||||
xpos = viewport_plotarea[1] + 0.11
|
||||
if occursin("outer", str)
|
||||
xpos = viewport_plotarea[1] - 0.05 - w - !ymirror * gr_yaxis_width(sp)
|
||||
else
|
||||
xpos = viewport_plotarea[1] + 0.11
|
||||
end
|
||||
else
|
||||
xpos = (viewport_plotarea[2]-viewport_plotarea[1])/2 - w/2 +.04
|
||||
end
|
||||
if occursin("top", str)
|
||||
ypos = viewport_plotarea[4] - 0.06
|
||||
if s == :outertop
|
||||
ypos = viewport_plotarea[4] + 0.02 + h + xmirror * gr_xaxis_height(sp)
|
||||
else
|
||||
ypos = viewport_plotarea[4] - 0.06
|
||||
end
|
||||
elseif occursin("bottom", str)
|
||||
ypos = viewport_plotarea[3] + h + 0.06
|
||||
if s == :outerbottom
|
||||
ypos = viewport_plotarea[3] - 0.05 - !xmirror * gr_xaxis_height(sp)
|
||||
else
|
||||
ypos = viewport_plotarea[3] + h + 0.06
|
||||
end
|
||||
else
|
||||
ypos = (viewport_plotarea[4]-viewport_plotarea[3])/2 + h/2
|
||||
end
|
||||
@@ -470,7 +584,7 @@ end
|
||||
const _gr_gradient_alpha = ones(256)
|
||||
|
||||
function gr_set_gradient(c)
|
||||
grad = isa(c, ColorGradient) ? c : cgrad()
|
||||
grad = _as_gradient(c)
|
||||
for (i,z) in enumerate(range(0, stop=1, length=256))
|
||||
c = grad[z]
|
||||
GR.setcolorrep(999+i, red(c), green(c), blue(c))
|
||||
@@ -479,6 +593,21 @@ function gr_set_gradient(c)
|
||||
grad
|
||||
end
|
||||
|
||||
function gr_set_gradient(series::Series)
|
||||
st = series[:seriestype]
|
||||
if st in (:surface, :heatmap) || isfilledcontour(series)
|
||||
gr_set_gradient(series[:fillcolor])
|
||||
elseif st in (:contour, :wireframe)
|
||||
gr_set_gradient(series[:linecolor])
|
||||
elseif series[:marker_z] != nothing
|
||||
gr_set_gradient(series[:markercolor])
|
||||
elseif series[:line_z] != nothing
|
||||
gr_set_gradient(series[:linecolor])
|
||||
elseif series[:fill_z] != nothing
|
||||
gr_set_gradient(series[:fillcolor])
|
||||
end
|
||||
end
|
||||
|
||||
# this is our new display func... set up the viewport_canvas, compute bounding boxes, and display each subplot
|
||||
function gr_display(plt::Plot, fmt="")
|
||||
GR.clearws()
|
||||
@@ -551,17 +680,65 @@ function gr_set_yticks_font(sp)
|
||||
return flip, mirror
|
||||
end
|
||||
|
||||
function gr_get_ticks_size(ticks, i)
|
||||
function gr_text_size(str)
|
||||
GR.savestate()
|
||||
GR.selntran(0)
|
||||
l = 0.0
|
||||
for (cv, dv) in zip(ticks...)
|
||||
tb = gr_inqtext(0, 0, string(dv))[i]
|
||||
tb_min, tb_max = extrema(tb)
|
||||
l = max(l, tb_max - tb_min)
|
||||
end
|
||||
xs, ys = gr_inqtext(0, 0, string(str))
|
||||
l, r = extrema(xs)
|
||||
b, t = extrema(ys)
|
||||
w = r - l
|
||||
h = t - b
|
||||
GR.restorestate()
|
||||
return l
|
||||
return w, h
|
||||
end
|
||||
|
||||
function gr_text_size(str, rot)
|
||||
GR.savestate()
|
||||
GR.selntran(0)
|
||||
xs, ys = gr_inqtext(0, 0, string(str))
|
||||
l, r = extrema(xs)
|
||||
b, t = extrema(ys)
|
||||
w = text_box_width(r - l, t - b, rot)
|
||||
h = text_box_height(r - l, t - b, rot)
|
||||
GR.restorestate()
|
||||
return w, h
|
||||
end
|
||||
|
||||
text_box_width(w, h, rot) = abs(cosd(rot)) * w + abs(cosd(rot + 90)) * h
|
||||
text_box_height(w, h, rot) = abs(sind(rot)) * w + abs(sind(rot + 90)) * h
|
||||
|
||||
function gr_get_ticks_size(ticks, rot)
|
||||
w, h = 0.0, 0.0
|
||||
for (cv, dv) in zip(ticks...)
|
||||
wi, hi = gr_text_size(dv, rot)
|
||||
w = max(w, wi)
|
||||
h = max(h, hi)
|
||||
end
|
||||
return w, h
|
||||
end
|
||||
|
||||
function gr_xaxis_height(sp)
|
||||
xaxis = sp[:xaxis]
|
||||
xticks, yticks = axis_drawing_info(sp)[1:2]
|
||||
gr_set_font(tickfont(xaxis))
|
||||
h = (xticks in (nothing, false, :none) ? 0 : last(gr_get_ticks_size(xticks, xaxis[:rotation])))
|
||||
if xaxis[:guide] != ""
|
||||
gr_set_font(guidefont(xaxis))
|
||||
h += last(gr_text_size(xaxis[:guide]))
|
||||
end
|
||||
return h
|
||||
end
|
||||
|
||||
function gr_yaxis_width(sp)
|
||||
yaxis = sp[:yaxis]
|
||||
xticks, yticks = axis_drawing_info(sp)[1:2]
|
||||
gr_set_font(tickfont(yaxis))
|
||||
w = (xticks in (nothing, false, :none) ? 0 : first(gr_get_ticks_size(yticks, yaxis[:rotation])))
|
||||
if yaxis[:guide] != ""
|
||||
gr_set_font(guidefont(yaxis))
|
||||
w += last(gr_text_size(yaxis[:guide]))
|
||||
end
|
||||
return w
|
||||
end
|
||||
|
||||
function _update_min_padding!(sp::Subplot{GRBackend})
|
||||
@@ -572,49 +749,60 @@ function _update_min_padding!(sp::Subplot{GRBackend})
|
||||
end
|
||||
end
|
||||
# Add margin given by the user
|
||||
leftpad = 4mm + sp[:left_margin]
|
||||
leftpad = 2mm + sp[:left_margin]
|
||||
toppad = 2mm + sp[:top_margin]
|
||||
rightpad = 4mm + sp[:right_margin]
|
||||
rightpad = 2mm + sp[:right_margin]
|
||||
bottompad = 2mm + sp[:bottom_margin]
|
||||
# Add margin for title
|
||||
if sp[:title] != ""
|
||||
toppad += 5mm
|
||||
gr_set_font(titlefont(sp))
|
||||
l = last(last(gr_text_size(sp[:title])))
|
||||
h = 1mm + gr_plot_size[2] * l * px
|
||||
toppad += h
|
||||
end
|
||||
# Add margin for x and y ticks
|
||||
xticks, yticks = axis_drawing_info(sp)[1:2]
|
||||
if !(xticks in (nothing, false, :none))
|
||||
flip, mirror = gr_set_xticks_font(sp)
|
||||
l = gr_get_ticks_size(xticks, 2)
|
||||
l = 0.01 + last(gr_get_ticks_size(xticks, sp[:xaxis][:rotation]))
|
||||
h = 1mm + gr_plot_size[2] * l * px
|
||||
if mirror
|
||||
toppad += 1mm + gr_plot_size[2] * l * px
|
||||
toppad += h
|
||||
else
|
||||
bottompad += 1mm + gr_plot_size[2] * l * px
|
||||
bottompad += h
|
||||
end
|
||||
end
|
||||
if !(yticks in (nothing, false, :none))
|
||||
flip, mirror = gr_set_yticks_font(sp)
|
||||
l = gr_get_ticks_size(yticks, 1)
|
||||
l = 0.01 + first(gr_get_ticks_size(yticks, sp[:yaxis][:rotation]))
|
||||
w = 1mm + gr_plot_size[1] * l * px
|
||||
if mirror
|
||||
rightpad += 1mm + gr_plot_size[1] * l * px
|
||||
rightpad += w
|
||||
else
|
||||
leftpad += 1mm + gr_plot_size[1] * l * px
|
||||
leftpad += w
|
||||
end
|
||||
end
|
||||
# Add margin for x label
|
||||
if sp[:xaxis][:guide] != ""
|
||||
gr_set_font(guidefont(sp[:xaxis]))
|
||||
l = last(gr_text_size(sp[:xaxis][:guide]))
|
||||
h = 1mm + gr_plot_size[2] * l * px
|
||||
if sp[:xaxis][:guide_position] == :top || (sp[:xaxis][:guide_position] == :auto && sp[:xaxis][:mirror] == true)
|
||||
toppad += 4mm
|
||||
toppad += h
|
||||
else
|
||||
bottompad += 4mm
|
||||
bottompad += h
|
||||
end
|
||||
end
|
||||
# Add margin for y label
|
||||
if sp[:yaxis][:guide] != ""
|
||||
gr_set_font(guidefont(sp[:yaxis]))
|
||||
l = last(gr_text_size(sp[:yaxis][:guide]))
|
||||
w = 1mm + gr_plot_size[2] * l * px
|
||||
if sp[:yaxis][:guide_position] == :right || (sp[:yaxis][:guide_position] == :auto && sp[:yaxis][:mirror] == true)
|
||||
rightpad += 4mm
|
||||
rightpad += w
|
||||
else
|
||||
leftpad += 4mm
|
||||
end
|
||||
leftpad += w
|
||||
end
|
||||
end
|
||||
if sp[:colorbar_title] != ""
|
||||
rightpad += 4mm
|
||||
@@ -652,6 +840,54 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
end
|
||||
end
|
||||
|
||||
# calculate legend size
|
||||
# has to be done now due to a potential adjustment to the plotarea given an outer legend.
|
||||
legendn = 0
|
||||
legendw = 0
|
||||
legendi = 0
|
||||
if sp[:legend] != :none
|
||||
GR.savestate()
|
||||
GR.selntran(0)
|
||||
GR.setscale(0)
|
||||
gr_set_font(legendfont(sp))
|
||||
if sp[:legendtitle] != nothing
|
||||
tbx, tby = gr_inqtext(0, 0, string(sp[:legendtitle]))
|
||||
legendw = tbx[3] - tbx[1]
|
||||
legendn += 1
|
||||
end
|
||||
for series in series_list(sp)
|
||||
should_add_to_legend(series) || continue
|
||||
legendn += 1
|
||||
if typeof(series[:label]) <: Array
|
||||
legendi += 1
|
||||
lab = series[:label][i]
|
||||
else
|
||||
lab = series[:label]
|
||||
end
|
||||
tbx, tby = gr_inqtext(0, 0, string(lab))
|
||||
legendw = max(legendw, tbx[3] - tbx[1])
|
||||
end
|
||||
|
||||
GR.setscale(1)
|
||||
GR.selntran(1)
|
||||
GR.restorestate()
|
||||
end
|
||||
|
||||
dy = _gr_point_mult[1] * sp[:legendfontsize] * 1.75
|
||||
legendh = dy * legendn
|
||||
leg_str = string(sp[:legend])
|
||||
if occursin("outer", leg_str)
|
||||
if occursin("right", leg_str)
|
||||
viewport_plotarea[2] -= legendw + 0.11
|
||||
elseif occursin("left", leg_str)
|
||||
viewport_plotarea[1] += legendw + 0.11
|
||||
elseif occursin("top", leg_str)
|
||||
viewport_plotarea[4] -= legendh + 0.03
|
||||
elseif occursin("bottom", leg_str)
|
||||
viewport_plotarea[3] += legendh + 0.04
|
||||
end
|
||||
end
|
||||
|
||||
# fill in the plot area background
|
||||
bg = plot_color(sp[:background_color_inside])
|
||||
gr_fill_viewport(viewport_plotarea, bg)
|
||||
@@ -659,7 +895,10 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
# reduced from before... set some flags based on the series in this subplot
|
||||
# TODO: can these be generic flags?
|
||||
outside_ticks = false
|
||||
cmap = hascolorbar(sp)
|
||||
# calculate the colorbar limits once for a subplot
|
||||
clims = get_clims(sp)
|
||||
cbar = GRColorbar()
|
||||
|
||||
draw_axes = sp[:framestyle] != :none
|
||||
# axes_2d = true
|
||||
for series in series_list(sp)
|
||||
@@ -671,7 +910,7 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
outside_ticks = true
|
||||
for ax in (sp[:xaxis], sp[:yaxis])
|
||||
v = series[ax[:letter]]
|
||||
if diff(collect(extrema(diff(v))))[1] > 1e-6*std(v)
|
||||
if length(v) > 1 && diff(collect(extrema(diff(v))))[1] > 1e-6*std(v)
|
||||
@warn("GR: heatmap only supported with equally spaced data.")
|
||||
end
|
||||
end
|
||||
@@ -681,6 +920,8 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
expand_extrema!(sp[:yaxis], y)
|
||||
data_lims = gr_xy_axislims(sp)
|
||||
end
|
||||
|
||||
gr_update_colorbar!(cbar,series)
|
||||
end
|
||||
|
||||
# set our plot area view
|
||||
@@ -729,11 +970,13 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
GR.setlinewidth(sp.plt[:thickness_scaling])
|
||||
|
||||
if is3d(sp)
|
||||
# TODO do we really need a different clims computation here from the one
|
||||
# computed above using get_clims(sp)?
|
||||
zmin, zmax = gr_lims(zaxis, true)
|
||||
clims = sp[:clims]
|
||||
if is_2tuple(clims)
|
||||
isfinite(clims[1]) && (zmin = clims[1])
|
||||
isfinite(clims[2]) && (zmax = clims[2])
|
||||
clims3d = sp[:clims]
|
||||
if is_2tuple(clims3d)
|
||||
isfinite(clims3d[1]) && (zmin = clims3d[1])
|
||||
isfinite(clims3d[2]) && (zmax = clims3d[2])
|
||||
end
|
||||
GR.setspace(zmin, zmax, round.(Int, sp[:camera])...)
|
||||
xtick = GR.tick(xmin, xmax) / 2
|
||||
@@ -743,21 +986,21 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
|
||||
if xaxis[:grid]
|
||||
gr_set_line(xaxis[:gridlinewidth], xaxis[:gridstyle], xaxis[:foreground_color_grid])
|
||||
gr_set_transparency(xaxis[:gridalpha])
|
||||
gr_set_transparency(xaxis[:foreground_color_grid], xaxis[:gridalpha])
|
||||
GR.grid3d(xtick, 0, 0, xmin, ymax, zmin, 2, 0, 0)
|
||||
end
|
||||
if yaxis[:grid]
|
||||
gr_set_line(yaxis[:gridlinewidth], yaxis[:gridstyle], yaxis[:foreground_color_grid])
|
||||
gr_set_transparency(yaxis[:gridalpha])
|
||||
gr_set_transparency(yaxis[:foreground_color_grid], yaxis[:gridalpha])
|
||||
GR.grid3d(0, ytick, 0, xmin, ymax, zmin, 0, 2, 0)
|
||||
end
|
||||
if zaxis[:grid]
|
||||
gr_set_line(zaxis[:gridlinewidth], zaxis[:gridstyle], zaxis[:foreground_color_grid])
|
||||
gr_set_transparency(zaxis[:gridalpha])
|
||||
gr_set_transparency(zaxis[:foreground_color_grid], zaxis[:gridalpha])
|
||||
GR.grid3d(0, 0, ztick, xmin, ymax, zmin, 0, 0, 2)
|
||||
end
|
||||
gr_set_line(1, :solid, xaxis[:foreground_color_axis])
|
||||
gr_set_transparency(1)
|
||||
gr_set_transparency(xaxis[:foreground_color_axis])
|
||||
GR.axes3d(xtick, 0, ztick, xmin, ymin, zmin, 2, 0, 2, -ticksize)
|
||||
GR.axes3d(0, ytick, 0, xmax, ymin, zmin, 0, 2, 0, ticksize)
|
||||
|
||||
@@ -780,24 +1023,24 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
# gr_set_linecolor(sp[:foreground_color_grid])
|
||||
# GR.grid(xtick, ytick, 0, 0, majorx, majory)
|
||||
gr_set_line(xaxis[:gridlinewidth], xaxis[:gridstyle], xaxis[:foreground_color_grid])
|
||||
gr_set_transparency(xaxis[:gridalpha])
|
||||
gr_set_transparency(xaxis[:foreground_color_grid], xaxis[:gridalpha])
|
||||
gr_polyline(coords(xgrid_segs)...)
|
||||
end
|
||||
if yaxis[:grid]
|
||||
gr_set_line(yaxis[:gridlinewidth], yaxis[:gridstyle], yaxis[:foreground_color_grid])
|
||||
gr_set_transparency(yaxis[:gridalpha])
|
||||
gr_set_transparency(yaxis[:foreground_color_grid], yaxis[:gridalpha])
|
||||
gr_polyline(coords(ygrid_segs)...)
|
||||
end
|
||||
if xaxis[:minorgrid]
|
||||
# gr_set_linecolor(sp[:foreground_color_grid])
|
||||
# GR.grid(xtick, ytick, 0, 0, majorx, majory)
|
||||
gr_set_line(xaxis[:minorgridlinewidth], xaxis[:minorgridstyle], xaxis[:foreground_color_minor_grid])
|
||||
gr_set_transparency(xaxis[:minorgridalpha])
|
||||
gr_set_transparency(xaxis[:foreground_color_minor_grid], xaxis[:minorgridalpha])
|
||||
gr_polyline(coords(xminorgrid_segs)...)
|
||||
end
|
||||
if yaxis[:minorgrid]
|
||||
gr_set_line(yaxis[:minorgridlinewidth], yaxis[:minorgridstyle], yaxis[:foreground_color_minor_grid])
|
||||
gr_set_transparency(yaxis[:minorgridalpha])
|
||||
gr_set_transparency(yaxis[:foreground_color_minor_grid], yaxis[:minorgridalpha])
|
||||
gr_polyline(coords(yminorgrid_segs)...)
|
||||
end
|
||||
gr_set_transparency(1.0)
|
||||
@@ -819,7 +1062,7 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
if xaxis[:showaxis]
|
||||
if sp[:framestyle] in (:zerolines, :grid)
|
||||
gr_set_line(1, :solid, xaxis[:foreground_color_grid])
|
||||
gr_set_transparency(xaxis[:gridalpha])
|
||||
gr_set_transparency(xaxis[:foreground_color_grid], xaxis[:tick_direction] == :out ? xaxis[:gridalpha] : 0)
|
||||
else
|
||||
gr_set_line(1, :solid, xaxis[:foreground_color_axis])
|
||||
end
|
||||
@@ -829,7 +1072,7 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
if yaxis[:showaxis]
|
||||
if sp[:framestyle] in (:zerolines, :grid)
|
||||
gr_set_line(1, :solid, yaxis[:foreground_color_grid])
|
||||
gr_set_transparency(yaxis[:gridalpha])
|
||||
gr_set_transparency(yaxis[:foreground_color_grid], yaxis[:tick_direction] == :out ? yaxis[:gridalpha] : 0)
|
||||
else
|
||||
gr_set_line(1, :solid, yaxis[:foreground_color_axis])
|
||||
end
|
||||
@@ -881,10 +1124,10 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
intensity = sp[:framestyle] == :semi ? 0.5 : 1.0
|
||||
if sp[:framestyle] in (:box, :semi)
|
||||
gr_set_line(intensity, :solid, xaxis[:foreground_color_border])
|
||||
gr_set_transparency(intensity)
|
||||
gr_set_transparency(xaxis[:foreground_color_border], intensity)
|
||||
gr_polyline(coords(xborder_segs)...)
|
||||
gr_set_line(intensity, :solid, yaxis[:foreground_color_border])
|
||||
gr_set_transparency(intensity)
|
||||
gr_set_transparency(yaxis[:foreground_color_border], intensity)
|
||||
gr_polyline(coords(yborder_segs)...)
|
||||
end
|
||||
end
|
||||
@@ -908,27 +1151,34 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
GR.settextalign(halign, GR.TEXT_VALIGN_TOP)
|
||||
gr_text(xpos, viewport_subplot[4], sp[:title])
|
||||
end
|
||||
|
||||
if xaxis[:guide] != ""
|
||||
if is3d(sp)
|
||||
gr_set_font(guidefont(xaxis))
|
||||
if xaxis[:guide_position] == :top || (xaxis[:guide_position] == :auto && xaxis[:mirror] == true)
|
||||
GR.settextalign(GR.TEXT_HALIGN_CENTER, GR.TEXT_VALIGN_TOP)
|
||||
gr_text(gr_view_xcenter(), viewport_subplot[4], xaxis[:guide])
|
||||
else
|
||||
GR.settextalign(GR.TEXT_HALIGN_CENTER, GR.TEXT_VALIGN_BOTTOM)
|
||||
gr_text(gr_view_xcenter(), viewport_subplot[3], xaxis[:guide])
|
||||
GR.titles3d(xaxis[:guide], yaxis[:guide], zaxis[:guide])
|
||||
else
|
||||
xticks, yticks = axis_drawing_info(sp)[1:2]
|
||||
if xaxis[:guide] != ""
|
||||
h = 0.01 + gr_xaxis_height(sp)
|
||||
gr_set_font(guidefont(xaxis))
|
||||
if xaxis[:guide_position] == :top || (xaxis[:guide_position] == :auto && xaxis[:mirror] == true)
|
||||
GR.settextalign(GR.TEXT_HALIGN_CENTER, GR.TEXT_VALIGN_TOP)
|
||||
gr_text(gr_view_xcenter(), viewport_plotarea[4] + h, xaxis[:guide])
|
||||
else
|
||||
GR.settextalign(GR.TEXT_HALIGN_CENTER, GR.TEXT_VALIGN_BOTTOM)
|
||||
gr_text(gr_view_xcenter(), viewport_plotarea[3] - h, xaxis[:guide])
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
if yaxis[:guide] != ""
|
||||
gr_set_font(guidefont(yaxis))
|
||||
GR.setcharup(-1, 0)
|
||||
if yaxis[:guide_position] == :right || (yaxis[:guide_position] == :auto && yaxis[:mirror] == true)
|
||||
GR.settextalign(GR.TEXT_HALIGN_CENTER, GR.TEXT_VALIGN_BOTTOM)
|
||||
gr_text(viewport_subplot[2], gr_view_ycenter(), yaxis[:guide])
|
||||
else
|
||||
GR.settextalign(GR.TEXT_HALIGN_CENTER, GR.TEXT_VALIGN_TOP)
|
||||
gr_text(viewport_subplot[1], gr_view_ycenter(), yaxis[:guide])
|
||||
if yaxis[:guide] != ""
|
||||
w = 0.02 + gr_yaxis_width(sp)
|
||||
gr_set_font(guidefont(yaxis))
|
||||
GR.setcharup(-1, 0)
|
||||
if yaxis[:guide_position] == :right || (yaxis[:guide_position] == :auto && yaxis[:mirror] == true)
|
||||
GR.settextalign(GR.TEXT_HALIGN_CENTER, GR.TEXT_VALIGN_BOTTOM)
|
||||
gr_text(viewport_plotarea[2] + w, gr_view_ycenter(), yaxis[:guide])
|
||||
else
|
||||
GR.settextalign(GR.TEXT_HALIGN_CENTER, GR.TEXT_VALIGN_TOP)
|
||||
gr_text(viewport_plotarea[1] - w, gr_view_ycenter(), yaxis[:guide])
|
||||
end
|
||||
end
|
||||
end
|
||||
GR.restorestate()
|
||||
@@ -938,26 +1188,14 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
# this needs to be here to point the colormap to the right indices
|
||||
GR.setcolormap(1000 + GR.COLORMAP_COOLWARM)
|
||||
|
||||
# calculate the colorbar limits once for a subplot
|
||||
clims = get_clims(sp)
|
||||
|
||||
for (idx, series) in enumerate(series_list(sp))
|
||||
st = series[:seriestype]
|
||||
|
||||
# update the current stored gradient
|
||||
if st in (:contour, :surface, :wireframe, :heatmap)
|
||||
gr_set_gradient(series[:fillcolor]) #, series[:fillalpha])
|
||||
elseif series[:marker_z] != nothing
|
||||
series[:markercolor] = gr_set_gradient(series[:markercolor])
|
||||
elseif series[:line_z] != nothing
|
||||
series[:linecolor] = gr_set_gradient(series[:linecolor])
|
||||
elseif series[:fill_z] != nothing
|
||||
series[:fillcolor] = gr_set_gradient(series[:fillcolor])
|
||||
end
|
||||
gr_set_gradient(series)
|
||||
|
||||
GR.savestate()
|
||||
|
||||
|
||||
# update the bounding window
|
||||
if ispolar(sp)
|
||||
gr_set_viewport_polar()
|
||||
@@ -990,7 +1228,7 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
end
|
||||
|
||||
if st in (:path, :scatter, :straightline)
|
||||
if length(x) > 1
|
||||
if x != nothing && length(x) > 1
|
||||
lz = series[:line_z]
|
||||
segments = iter_segments(series)
|
||||
# do area fill
|
||||
@@ -998,10 +1236,11 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
GR.setfillintstyle(GR.INTSTYLE_SOLID)
|
||||
fr_from, fr_to = (is_2tuple(frng) ? frng : (y, frng))
|
||||
for (i, rng) in enumerate(segments)
|
||||
gr_set_fillcolor(get_fillcolor(series, clims, i))
|
||||
fc = get_fillcolor(series, clims, i)
|
||||
gr_set_fillcolor(fc)
|
||||
fx = _cycle(x, vcat(rng, reverse(rng)))
|
||||
fy = vcat(_cycle(fr_from,rng), _cycle(fr_to,reverse(rng)))
|
||||
gr_set_transparency(get_fillalpha(series, i))
|
||||
gr_set_transparency(fc, get_fillalpha(series, i))
|
||||
GR.fillarea(fx, fy)
|
||||
end
|
||||
end
|
||||
@@ -1009,8 +1248,9 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
# draw the line(s)
|
||||
if st in (:path, :straightline)
|
||||
for (i, rng) in enumerate(segments)
|
||||
gr_set_line(get_linewidth(series, i), get_linestyle(series, i), get_linecolor(series, clims, i)) #, series[:linealpha])
|
||||
gr_set_transparency(get_linealpha(series, i))
|
||||
lc = get_linecolor(series, clims, i)
|
||||
gr_set_line(get_linewidth(series, i), get_linestyle(series, i), lc) #, series[:linealpha])
|
||||
gr_set_transparency(lc, get_linealpha(series, i))
|
||||
arrowside = isa(series[:arrow], Arrow) ? series[:arrow].side : :none
|
||||
gr_polyline(x[rng], y[rng]; arrowside = arrowside)
|
||||
end
|
||||
@@ -1022,35 +1262,21 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
end
|
||||
|
||||
elseif st == :contour
|
||||
zmin, zmax = clims
|
||||
GR.setspace(zmin, zmax, 0, 90)
|
||||
if typeof(series[:levels]) <: AbstractArray
|
||||
h = series[:levels]
|
||||
else
|
||||
h = series[:levels] > 1 ? range(zmin, stop=zmax, length=series[:levels]) : [(zmin + zmax) / 2]
|
||||
GR.setspace(clims[1], clims[2], 0, 90)
|
||||
GR.setlinetype(gr_linetype[get_linestyle(series)])
|
||||
GR.setlinewidth(max(0, get_linewidth(series) / (sum(gr_plot_size) * 0.001)))
|
||||
is_lc_black = let black=plot_color(:black)
|
||||
plot_color(series[:linecolor]) in (black,[black])
|
||||
end
|
||||
h = gr_contour_levels(series, clims)
|
||||
if series[:fillrange] != nothing
|
||||
GR.surface(x, y, z, GR.OPTION_CELL_ARRAY)
|
||||
else
|
||||
GR.setlinetype(gr_linetype[get_linestyle(series)])
|
||||
GR.setlinewidth(max(0, get_linewidth(series) / (sum(gr_plot_size) * 0.001)))
|
||||
if plot_color(series[:linecolor]) == [plot_color(:black)]
|
||||
GR.contour(x, y, h, z, 0 + (series[:contour_labels] == true ? 1 : 0))
|
||||
else
|
||||
GR.contour(x, y, h, z, 1000 + (series[:contour_labels] == true ? 1 : 0))
|
||||
if series[:fillcolor] != series[:linecolor] && !is_lc_black
|
||||
@warn("GR: filled contour only supported with black contour lines")
|
||||
end
|
||||
end
|
||||
|
||||
# create the colorbar of contour levels
|
||||
if cmap
|
||||
gr_set_line(1, :solid, yaxis[:foreground_color_axis])
|
||||
gr_set_viewport_cmap(sp)
|
||||
l = (length(h) > 1) ? round.(Int32, 1000 .+ (h .- ignorenan_minimum(h)) ./ (ignorenan_maximum(h) - ignorenan_minimum(h)) .* 255) : Int32[1000, 1255]
|
||||
GR.setwindow(xmin, xmax, zmin, zmax)
|
||||
GR.cellarray(xmin, xmax, zmax, zmin, 1, length(l), l)
|
||||
ztick = 0.5 * GR.tick(zmin, zmax)
|
||||
GR.axes(0, ztick, xmax, zmin, 0, 1, 0.005)
|
||||
gr_set_viewport_plotarea()
|
||||
GR.contourf(x, y, h, z, series[:contour_labels] == true ? 1 : 0)
|
||||
else
|
||||
coff = is_lc_black ? 0 : 1000
|
||||
GR.contour(x, y, h, z, coff + (series[:contour_labels] == true ? 1 : 0))
|
||||
end
|
||||
|
||||
elseif st in [:surface, :wireframe]
|
||||
@@ -1058,13 +1284,22 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
if length(x) == length(y) == length(z)
|
||||
GR.trisurface(x, y, z)
|
||||
else
|
||||
GR.gr3.surface(x, y, z, GR.OPTION_COLORED_MESH)
|
||||
try
|
||||
GR.gr3.surface(x, y, z, GR.OPTION_COLORED_MESH)
|
||||
catch
|
||||
GR.surface(x, y, z, GR.OPTION_COLORED_MESH)
|
||||
end
|
||||
end
|
||||
else
|
||||
GR.setfillcolorind(0)
|
||||
GR.surface(x, y, z, GR.OPTION_FILLED_MESH)
|
||||
end
|
||||
|
||||
elseif st == :volume
|
||||
sp[:legend] = :none
|
||||
GR.gr3.clear()
|
||||
dmin, dmax = GR.gr3.volume(y.v, 0)
|
||||
|
||||
elseif st == :heatmap
|
||||
xmin, xmax, ymin, ymax = xy_lims
|
||||
zmin, zmax = clims
|
||||
@@ -1089,8 +1324,9 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
lz = series[:line_z]
|
||||
segments = iter_segments(series)
|
||||
for (i, rng) in enumerate(segments)
|
||||
gr_set_line(get_linewidth(series, i), get_linestyle(series, i), get_linecolor(series, clims, i)) #, series[:linealpha])
|
||||
gr_set_transparency(get_linealpha(series, i))
|
||||
lc = get_linecolor(series, clims, i)
|
||||
gr_set_line(get_linewidth(series, i), get_linestyle(series, i), lc) #, series[:linealpha])
|
||||
gr_set_transparency(lc, get_linealpha(series, i))
|
||||
GR.polyline3d(x[rng], y[rng], z[rng])
|
||||
end
|
||||
end
|
||||
@@ -1161,13 +1397,15 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
xseg, yseg = x[rng], y[rng]
|
||||
|
||||
# draw the interior
|
||||
gr_set_fill(get_fillcolor(series, clims, i))
|
||||
gr_set_transparency(get_fillalpha(series, i))
|
||||
fc = get_fillcolor(series, clims, i)
|
||||
gr_set_fill(fc)
|
||||
gr_set_transparency(fc, get_fillalpha(series, i))
|
||||
GR.fillarea(xseg, yseg)
|
||||
|
||||
# draw the shapes
|
||||
gr_set_line(get_linewidth(series, i), get_linestyle(series, i), get_linecolor(series, clims, i))
|
||||
gr_set_transparency(get_linealpha(series, i))
|
||||
lc = get_linecolor(series, clims, i)
|
||||
gr_set_line(get_linewidth(series, i), get_linestyle(series, i), lc)
|
||||
gr_set_transparency(lc, get_linealpha(series, i))
|
||||
GR.polyline(xseg, yseg)
|
||||
end
|
||||
end
|
||||
@@ -1175,19 +1413,19 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
|
||||
elseif st == :image
|
||||
z = transpose_z(series, series[:z].surf, true)'
|
||||
w, h = length(x), length(y)
|
||||
w, h = size(z)
|
||||
xinds = sort(1:w, rev = xaxis[:flip])
|
||||
yinds = sort(1:h, rev = yaxis[:flip])
|
||||
z = z[xinds, yinds]
|
||||
xmin, xmax = ignorenan_extrema(series[:x]); ymin, ymax = ignorenan_extrema(series[:y])
|
||||
if eltype(z) <: Colors.AbstractGray
|
||||
grey = round.(UInt8, float(z) * 255)
|
||||
grey = round.(UInt8, clamp.(float(z) * 255, 0, 255))
|
||||
rgba = map(c -> UInt32( 0xff000000 + UInt(c)<<16 + UInt(c)<<8 + UInt(c) ), grey)
|
||||
else
|
||||
rgba = map(c -> UInt32( round(UInt, alpha(c) * 255) << 24 +
|
||||
round(UInt, blue(c) * 255) << 16 +
|
||||
round(UInt, green(c) * 255) << 8 +
|
||||
round(UInt, red(c) * 255) ), z)
|
||||
rgba = map(c -> UInt32( round(UInt, clamp(alpha(c) * 255, 0, 255)) << 24 +
|
||||
round(UInt, clamp(blue(c) * 255, 0, 255)) << 16 +
|
||||
round(UInt, clamp(green(c) * 255, 0, 255)) << 8 +
|
||||
round(UInt, clamp(red(c) * 255, 0, 255)) ), z)
|
||||
end
|
||||
GR.drawimage(xmin, xmax, ymax, ymin, w, h, rgba)
|
||||
end
|
||||
@@ -1203,14 +1441,7 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
end
|
||||
|
||||
# draw the colorbar
|
||||
GR.savestate()
|
||||
# special colorbar with steps is drawn for contours
|
||||
if cmap && any(series[:seriestype] != :contour for series in series_list(sp))
|
||||
gr_set_line(1, :solid, yaxis[:foreground_color_axis])
|
||||
gr_set_transparency(1)
|
||||
gr_colorbar(sp, clims)
|
||||
end
|
||||
GR.restorestate()
|
||||
hascolorbar(sp) && gr_draw_colorbar(cbar, sp, clims)
|
||||
|
||||
# add the legend
|
||||
if sp[:legend] != :none
|
||||
@@ -1218,30 +1449,13 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
GR.selntran(0)
|
||||
GR.setscale(0)
|
||||
gr_set_font(legendfont(sp))
|
||||
w = 0
|
||||
i = 0
|
||||
n = 0
|
||||
if sp[:legendtitle] != nothing
|
||||
tbx, tby = gr_inqtext(0, 0, string(sp[:legendtitle]))
|
||||
w = tbx[3] - tbx[1]
|
||||
n += 1
|
||||
end
|
||||
for series in series_list(sp)
|
||||
should_add_to_legend(series) || continue
|
||||
n += 1
|
||||
if typeof(series[:label]) <: Array
|
||||
i += 1
|
||||
lab = series[:label][i]
|
||||
else
|
||||
lab = series[:label]
|
||||
end
|
||||
tbx, tby = gr_inqtext(0, 0, string(lab))
|
||||
w = max(w, tbx[3] - tbx[1])
|
||||
end
|
||||
w = legendw
|
||||
i = legendi
|
||||
n = legendn
|
||||
if w > 0
|
||||
dy = _gr_point_mult[1] * sp[:legendfontsize] * 1.75
|
||||
h = dy*n
|
||||
(xpos,ypos) = gr_legend_pos(sp[:legend],w,h)
|
||||
xpos, ypos = gr_legend_pos(sp, w, h)
|
||||
GR.setfillintstyle(GR.INTSTYLE_SOLID)
|
||||
gr_set_fillcolor(sp[:background_color_legend])
|
||||
GR.fillrect(xpos - 0.08, xpos + w + 0.02, ypos + dy, ypos - dy * n)
|
||||
@@ -1251,30 +1465,33 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
if sp[:legendtitle] != nothing
|
||||
GR.settextalign(GR.TEXT_HALIGN_CENTER, GR.TEXT_VALIGN_HALF)
|
||||
gr_set_textcolor(sp[:legendfontcolor])
|
||||
gr_set_transparency(1)
|
||||
gr_set_transparency(sp[:legendfontcolor])
|
||||
gr_text(xpos - 0.03 + 0.5*w, ypos, string(sp[:legendtitle]))
|
||||
ypos -= dy
|
||||
end
|
||||
for series in series_list(sp)
|
||||
should_add_to_legend(series) || continue
|
||||
st = series[:seriestype]
|
||||
gr_set_line(get_linewidth(series), get_linestyle(series), get_linecolor(series, clims)) #, series[:linealpha])
|
||||
lc = get_linecolor(series, clims)
|
||||
gr_set_line(get_linewidth(series), get_linestyle(series), lc) #, series[:linealpha])
|
||||
|
||||
if (st == :shape || series[:fillrange] != nothing) && series[:ribbon] == nothing
|
||||
gr_set_fill(get_fillcolor(series, clims)) #, series[:fillalpha])
|
||||
fc = get_fillcolor(series, clims)
|
||||
gr_set_fill(fc) #, series[:fillalpha])
|
||||
l, r = xpos-0.07, xpos-0.01
|
||||
b, t = ypos-0.4dy, ypos+0.4dy
|
||||
x = [l, r, r, l, l]
|
||||
y = [b, b, t, t, b]
|
||||
gr_set_transparency(get_fillalpha(series))
|
||||
gr_set_transparency(fc, get_fillalpha(series))
|
||||
gr_polyline(x, y, GR.fillarea)
|
||||
gr_set_transparency(get_linealpha(series))
|
||||
gr_set_line(get_linewidth(series), get_linestyle(series), get_linecolor(series, clims))
|
||||
lc = get_linecolor(series, clims)
|
||||
gr_set_transparency(lc, get_linealpha(series))
|
||||
gr_set_line(get_linewidth(series), get_linestyle(series), lc)
|
||||
st == :shape && gr_polyline(x, y)
|
||||
end
|
||||
|
||||
if st in (:path, :straightline)
|
||||
gr_set_transparency(get_linealpha(series))
|
||||
gr_set_transparency(lc, get_linealpha(series))
|
||||
if series[:fillrange] == nothing || series[:ribbon] != nothing
|
||||
GR.polyline([xpos - 0.07, xpos - 0.01], [ypos, ypos])
|
||||
else
|
||||
@@ -1336,16 +1553,7 @@ const _gr_mimeformats = Dict(
|
||||
"image/svg+xml" => "svg",
|
||||
)
|
||||
|
||||
const _gr_wstype_default = @static if Sys.islinux()
|
||||
"x11"
|
||||
# "cairox11"
|
||||
elseif Sys.isapple()
|
||||
"quartz"
|
||||
else
|
||||
"use_default"
|
||||
end
|
||||
|
||||
const _gr_wstype = Ref(get(ENV, "GKSwstype", _gr_wstype_default))
|
||||
const _gr_wstype = Ref(get(ENV, "GKSwstype", ""))
|
||||
gr_set_output(wstype::String) = (_gr_wstype[] = wstype)
|
||||
|
||||
for (mime, fmt) in _gr_mimeformats
|
||||
@@ -1380,7 +1588,7 @@ function _display(plt::Plot{GRBackend})
|
||||
rm(filepath)
|
||||
else
|
||||
ENV["GKS_DOUBLE_BUF"] = true
|
||||
if _gr_wstype[] != "use_default"
|
||||
if _gr_wstype[] != ""
|
||||
ENV["GKSwstype"] = _gr_wstype[]
|
||||
end
|
||||
gr_display(plt)
|
||||
|
||||
@@ -26,7 +26,8 @@ const _pgfplots_markers = KW(
|
||||
:star6 => "asterisk",
|
||||
:diamond => "diamond*",
|
||||
:pentagon => "pentagon*",
|
||||
:hline => "-"
|
||||
:hline => "-",
|
||||
:vline => "|"
|
||||
)
|
||||
|
||||
const _pgfplots_legend_pos = KW(
|
||||
@@ -170,7 +171,7 @@ function pgf_series(sp::Subplot, series::Series)
|
||||
elseif st == :shape
|
||||
shape_data(series)
|
||||
elseif ispolar(sp)
|
||||
theta, r = filter_radial_data(plotattributes[:x], plotattributes[:y], axis_limits(sp[:yaxis]))
|
||||
theta, r = plotattributes[:x], plotattributes[:y]
|
||||
rad2deg.(theta), r
|
||||
else
|
||||
plotattributes[:x], plotattributes[:y]
|
||||
@@ -398,14 +399,18 @@ function pgf_axis(sp::Subplot, letter)
|
||||
# framestyle
|
||||
if framestyle in (:axes, :origin)
|
||||
axispos = framestyle == :axes ? "left" : "middle"
|
||||
# the * after lines disables the arrows at the axes
|
||||
push!(style, string("axis lines* = ", axispos))
|
||||
if axis[:draw_arrow]
|
||||
push!(style, string("axis ", letter, " line = ", axispos))
|
||||
else
|
||||
# the * after line disables the arrow at the axis
|
||||
push!(style, string("axis ", letter, " line* = ", axispos))
|
||||
end
|
||||
end
|
||||
|
||||
if framestyle == :zerolines
|
||||
push!(style, string("extra ", letter, " ticks = 0"))
|
||||
push!(style, string("extra ", letter, " tick labels = "))
|
||||
push!(style, string("extra ", letter, " tick style = {grid = major, major grid style = {", pgf_linestyle(pgf_thickness_scaling(sp), axis[:foreground_color_axis], 1.0), "}}"))
|
||||
push!(style, string("extra ", letter, " tick style = {grid = major, major grid style = {", pgf_linestyle(pgf_thickness_scaling(sp), axis[:foreground_color_border], 1.0), "}}"))
|
||||
end
|
||||
|
||||
if !axis[:showaxis]
|
||||
@@ -414,7 +419,7 @@ function pgf_axis(sp::Subplot, letter)
|
||||
if !axis[:showaxis] || framestyle in (:zerolines, :grid, :none)
|
||||
push!(style, string(letter, " axis line style = {draw opacity = 0}"))
|
||||
else
|
||||
push!(style, string(letter, " axis line style = {", pgf_linestyle(pgf_thickness_scaling(sp), axis[:foreground_color_axis], 1.0), "}"))
|
||||
push!(style, string(letter, " axis line style = {", pgf_linestyle(pgf_thickness_scaling(sp), axis[:foreground_color_border], 1.0), "}"))
|
||||
end
|
||||
|
||||
# return the style list and KW args
|
||||
@@ -563,7 +568,7 @@ end
|
||||
|
||||
function _show(io::IO, mime::MIME"application/x-tex", plt::Plot{PGFPlotsBackend})
|
||||
fn = tempname()*".tex"
|
||||
PGFPlots.save(fn, backend_object(plt), include_preamble=false)
|
||||
PGFPlots.save(fn, backend_object(plt), include_preamble=plt.attr[:tex_output_standalone])
|
||||
write(io, read(open(fn), String))
|
||||
end
|
||||
|
||||
|
||||
+18
-14
@@ -186,11 +186,6 @@ function plotly_axis(plt::Plot, axis::Axis, sp::Subplot)
|
||||
ax[:tickcolor] = framestyle in (:zerolines, :grid) || !axis[:showaxis] ? rgba_string(invisible()) : rgb_string(axis[:foreground_color_axis])
|
||||
ax[:linecolor] = rgba_string(axis[:foreground_color_axis])
|
||||
|
||||
# flip
|
||||
if axis[:flip]
|
||||
ax[:range] = reverse(ax[:range])
|
||||
end
|
||||
|
||||
# ticks
|
||||
if axis[:ticks] != :native
|
||||
ticks = get_ticks(axis)
|
||||
@@ -208,6 +203,10 @@ function plotly_axis(plt::Plot, axis::Axis, sp::Subplot)
|
||||
ax[:showgrid] = false
|
||||
end
|
||||
|
||||
# flip
|
||||
if axis[:flip]
|
||||
ax[:range] = reverse(ax[:range])
|
||||
end
|
||||
|
||||
ax
|
||||
end
|
||||
@@ -355,7 +354,7 @@ end
|
||||
function plotly_colorscale(grad::ColorGradient, α)
|
||||
[[grad.values[i], rgba_string(plot_color(grad.colors[i], α))] for i in 1:length(grad.colors)]
|
||||
end
|
||||
plotly_colorscale(c, α) = plotly_colorscale(cgrad(alpha=α), α)
|
||||
plotly_colorscale(c::Colorant,α) = plotly_colorscale(_as_gradient(c),α)
|
||||
function plotly_colorscale(c::AbstractVector{<:RGBA}, α)
|
||||
if length(c) == 1
|
||||
return [[0.0, rgba_string(plot_color(c[1], α))], [1.0, rgba_string(plot_color(c[1], α))]]
|
||||
@@ -507,13 +506,13 @@ function plotly_series(plt::Plot, series::Series)
|
||||
plotattributes_out[:showscale] = hascolorbar(sp)
|
||||
|
||||
elseif st == :contour
|
||||
filled = isfilledcontour(series)
|
||||
plotattributes_out[:type] = "contour"
|
||||
plotattributes_out[:x], plotattributes_out[:y], plotattributes_out[:z] = x, y, z
|
||||
# plotattributes_out[:showscale] = series[:colorbar] != :none
|
||||
plotattributes_out[:ncontours] = series[:levels]
|
||||
plotattributes_out[:contours] = KW(:coloring => series[:fillrange] != nothing ? "fill" : "lines", :showlabels => series[:contour_labels] == true)
|
||||
plotattributes_out[:ncontours] = series[:levels] + 2
|
||||
plotattributes_out[:contours] = KW(:coloring => filled ? "fill" : "lines", :showlabels => series[:contour_labels] == true)
|
||||
plotattributes_out[:colorscale] = plotly_colorscale(series[:linecolor], series[:linealpha])
|
||||
plotattributes_out[:showscale] = hascolorbar(sp)
|
||||
plotattributes_out[:showscale] = hascolorbar(sp) && hascolorbar(series)
|
||||
|
||||
elseif st in (:surface, :wireframe)
|
||||
plotattributes_out[:type] = "surface"
|
||||
@@ -775,7 +774,7 @@ end
|
||||
function plotly_polar!(plotattributes_out::KW, series::Series)
|
||||
# convert polar plots x/y to theta/radius
|
||||
if ispolar(series[:subplot])
|
||||
theta, r = filter_radial_data(pop!(plotattributes_out, :x), pop!(plotattributes_out, :y), axis_limits(series[:subplot][:yaxis]))
|
||||
theta, r = pop!(plotattributes_out, :x), pop!(plotattributes_out, :y)
|
||||
plotattributes_out[:t] = rad2deg.(theta)
|
||||
plotattributes_out[:r] = r
|
||||
end
|
||||
@@ -854,11 +853,16 @@ end
|
||||
|
||||
# ----------------------------------------------------------------
|
||||
|
||||
|
||||
function _show(io::IO, ::MIME"text/html", plt::Plot{PlotlyBackend})
|
||||
write(io, html_head(plt) * html_body(plt))
|
||||
function _show(io::IO, ::MIME"application/vnd.plotly.v1+json", plot::Plot{PlotlyBackend})
|
||||
data = []
|
||||
for series in plot.series_list
|
||||
append!(data, plotly_series(plot, series))
|
||||
end
|
||||
layout = plotly_layout(plot)
|
||||
JSON.print(io, Dict(:data => data, :layout => layout))
|
||||
end
|
||||
|
||||
|
||||
function _display(plt::Plot{PlotlyBackend})
|
||||
standalone_html_window(plt)
|
||||
end
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
|
||||
# https://github.com/spencerlyon2/PlotlyJS.jl
|
||||
# https://github.com/sglyon/PlotlyJS.jl
|
||||
|
||||
# --------------------------------------------------------------------------------------
|
||||
|
||||
@@ -50,23 +49,16 @@ end
|
||||
|
||||
# ----------------------------------------------------------------
|
||||
|
||||
function _show(io::IO, ::MIME"text/html", plt::Plot{PlotlyJSBackend})
|
||||
if isijulia() && !_use_remote[]
|
||||
write(io, PlotlyJS.html_body(PlotlyJS.JupyterPlot(plt.o)))
|
||||
else
|
||||
show(io, MIME("text/html"), plt.o)
|
||||
end
|
||||
_show(io::IO, ::MIME"text/html", plt::Plot{PlotlyJSBackend}) = show(io, MIME("text/html"), plt.o)
|
||||
_show(io::IO, ::MIME"image/svg+xml", plt::Plot{PlotlyJSBackend}) = PlotlyJS.savefig(io, plt.o, format="svg")
|
||||
_show(io::IO, ::MIME"image/png", plt::Plot{PlotlyJSBackend}) = PlotlyJS.savefig(io, plt.o, format="png")
|
||||
_show(io::IO, ::MIME"application/pdf", plt::Plot{PlotlyJSBackend}) = PlotlyJS.savefig(io, plt.o, format="pdf")
|
||||
_show(io::IO, ::MIME"image/eps", plt::Plot{PlotlyJSBackend}) = PlotlyJS.savefig(io, plt.o, format="eps")
|
||||
|
||||
function _show(io::IO, m::MIME"application/vnd.plotly.v1+json", plt::Plot{PlotlyJSBackend})
|
||||
show(io, m, plt.o)
|
||||
end
|
||||
|
||||
function plotlyjs_save_hack(io::IO, plt::Plot{PlotlyJSBackend}, ext::String)
|
||||
tmpfn = tempname() * "." * ext
|
||||
PlotlyJS.savefig(plt.o, tmpfn)
|
||||
write(io, read(open(tmpfn)))
|
||||
end
|
||||
_show(io::IO, ::MIME"image/svg+xml", plt::Plot{PlotlyJSBackend}) = plotlyjs_save_hack(io, plt, "svg")
|
||||
_show(io::IO, ::MIME"image/png", plt::Plot{PlotlyJSBackend}) = plotlyjs_save_hack(io, plt, "png")
|
||||
_show(io::IO, ::MIME"application/pdf", plt::Plot{PlotlyJSBackend}) = plotlyjs_save_hack(io, plt, "pdf")
|
||||
_show(io::IO, ::MIME"image/eps", plt::Plot{PlotlyJSBackend}) = plotlyjs_save_hack(io, plt, "eps")
|
||||
|
||||
function write_temp_html(plt::Plot{PlotlyJSBackend})
|
||||
filename = string(tempname(), ".html")
|
||||
|
||||
+291
-178
@@ -1,3 +1,6 @@
|
||||
# Do "using PyPlot: PyCall, LaTeXStrings" without dependency warning:
|
||||
const PyCall = PyPlot.PyCall
|
||||
const LaTeXStrings = PyPlot.LaTeXStrings
|
||||
|
||||
# https://github.com/stevengj/PyPlot.jl
|
||||
|
||||
@@ -18,7 +21,7 @@ pyfont = PyPlot.pyimport("matplotlib.font_manager")
|
||||
pyticker = PyPlot.pyimport("matplotlib.ticker")
|
||||
pycmap = PyPlot.pyimport("matplotlib.cm")
|
||||
pynp = PyPlot.pyimport("numpy")
|
||||
pynp["seterr"](invalid="ignore")
|
||||
pynp."seterr"(invalid="ignore")
|
||||
pytransforms = PyPlot.pyimport("matplotlib.transforms")
|
||||
pycollections = PyPlot.pyimport("matplotlib.collections")
|
||||
pyart3d = PyPlot.art3D
|
||||
@@ -31,6 +34,11 @@ else
|
||||
:set_facecolor
|
||||
end
|
||||
|
||||
# PyCall API changes in v1.90.0
|
||||
if !isdefined(PyCall, :_setproperty!)
|
||||
@warn "Plots no longer supports PyCall < 1.90.0 and PyPlot < 2.8.0. Either update PyCall and PyPlot or pin Plots to a version <= 0.23.2."
|
||||
end
|
||||
|
||||
|
||||
# # convert colorant to 4-tuple RGBA
|
||||
# py_color(c::Colorant, α=nothing) = map(f->float(f(convertColor(c,α))), (red, green, blue, alpha))
|
||||
@@ -61,17 +69,17 @@ py_color(c::Colorant, α) = py_color(plot_color(c, α))
|
||||
|
||||
function py_colormap(grad::ColorGradient)
|
||||
pyvals = [(z, py_color(grad[z])) for z in grad.values]
|
||||
cm = pycolors["LinearSegmentedColormap"][:from_list]("tmp", pyvals)
|
||||
cm[:set_bad](color=(0,0,0,0.0), alpha=0.0)
|
||||
cm = pycolors."LinearSegmentedColormap"."from_list"("tmp", pyvals)
|
||||
cm."set_bad"(color=(0,0,0,0.0), alpha=0.0)
|
||||
cm
|
||||
end
|
||||
py_colormap(c) = py_colormap(cgrad())
|
||||
py_colormap(c::Colorant) = py_colormap(_as_gradient(c))
|
||||
|
||||
|
||||
function py_shading(c, z)
|
||||
cmap = py_colormap(c)
|
||||
ls = pycolors["LightSource"](270,45)
|
||||
ls[:shade](z, cmap, vert_exag=0.1, blend_mode="soft")
|
||||
ls = pycolors."LightSource"(270,45)
|
||||
ls."shade"(z, cmap, vert_exag=0.1, blend_mode="soft")
|
||||
end
|
||||
|
||||
# get the style (solid, dashed, etc)
|
||||
@@ -94,7 +102,7 @@ function py_marker(marker::Shape)
|
||||
mat[i,2] = y[i]
|
||||
end
|
||||
mat[n+1,:] = mat[1,:]
|
||||
pypath["Path"](mat)
|
||||
pypath."Path"(mat)
|
||||
end
|
||||
|
||||
const _path_MOVETO = UInt8(1)
|
||||
@@ -179,7 +187,7 @@ end
|
||||
# end
|
||||
|
||||
function get_locator_and_formatter(vals::AVec)
|
||||
pyticker["FixedLocator"](1:length(vals)), pyticker["FixedFormatter"](vals)
|
||||
pyticker."FixedLocator"(1:length(vals)), pyticker."FixedFormatter"(vals)
|
||||
end
|
||||
|
||||
function add_pyfixedformatter(cbar, vals::AVec)
|
||||
@@ -187,53 +195,40 @@ function add_pyfixedformatter(cbar, vals::AVec)
|
||||
cbar[:update_ticks]()
|
||||
end
|
||||
|
||||
@require LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f" begin
|
||||
function labelfunc(scale::Symbol, backend::PyPlotBackend)
|
||||
if scale == :log10
|
||||
x -> LaTeXStrings.latexstring("10^{$x}")
|
||||
elseif scale == :log2
|
||||
x -> LaTeXStrings.latexstring("2^{$x}")
|
||||
elseif scale == :ln
|
||||
x -> LaTeXStrings.latexstring("e^{$x}")
|
||||
else
|
||||
string
|
||||
end
|
||||
function labelfunc(scale::Symbol, backend::PyPlotBackend)
|
||||
if scale == :log10
|
||||
x -> LaTeXStrings.latexstring("10^{$x}")
|
||||
elseif scale == :log2
|
||||
x -> LaTeXStrings.latexstring("2^{$x}")
|
||||
elseif scale == :ln
|
||||
x -> LaTeXStrings.latexstring("e^{$x}")
|
||||
else
|
||||
string
|
||||
end
|
||||
end
|
||||
|
||||
@require PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0" begin
|
||||
function py_mask_nans(z)
|
||||
# pynp["ma"][:masked_invalid](z)))
|
||||
PyCall.pycall(pynp["ma"][:masked_invalid], Any, z)
|
||||
# pynp["ma"][:masked_where](pynp["isnan"](z),z)
|
||||
end
|
||||
function py_mask_nans(z)
|
||||
# pynp["ma"][:masked_invalid](z)))
|
||||
PyCall.pycall(pynp."ma"."masked_invalid", Any, z)
|
||||
# pynp["ma"][:masked_where](pynp["isnan"](z),z)
|
||||
end
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
function fix_xy_lengths!(plt::Plot{PyPlotBackend}, series::Series)
|
||||
x, y = series[:x], series[:y]
|
||||
nx, ny = length(x), length(y)
|
||||
if !isa(get(series.plotattributes, :z, nothing), Surface) && nx != ny
|
||||
if nx < ny
|
||||
series[:x] = Float64[x[mod1(i,nx)] for i=1:ny]
|
||||
else
|
||||
series[:y] = Float64[y[mod1(i,ny)] for i=1:nx]
|
||||
if series[:x] != nothing
|
||||
x, y = series[:x], series[:y]
|
||||
nx, ny = length(x), length(y)
|
||||
if !isa(get(series.plotattributes, :z, nothing), Surface) && nx != ny
|
||||
if nx < ny
|
||||
series[:x] = Float64[x[mod1(i,nx)] for i=1:ny]
|
||||
else
|
||||
series[:y] = Float64[y[mod1(i,ny)] for i=1:nx]
|
||||
end
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
# total hack due to PyPlot bug (see issue #145).
|
||||
# hack: duplicate the color vector when the total rgba fields is the same as the series length
|
||||
function py_color_fix(c, x)
|
||||
if (typeof(c) <: AbstractArray && length(c)*4 == length(x)) ||
|
||||
(typeof(c) <: Tuple && length(x) == 4)
|
||||
vcat(c, c)
|
||||
else
|
||||
c
|
||||
end
|
||||
end
|
||||
|
||||
py_linecolor(series::Series) = py_color(series[:linecolor])
|
||||
py_markercolor(series::Series) = py_color(series[:markercolor])
|
||||
py_markerstrokecolor(series::Series) = py_color(series[:markerstrokecolor])
|
||||
@@ -260,26 +255,28 @@ py_fillcolormap(series::Series) = py_colormap(series[:fillcolor])
|
||||
# Figure utils -- F*** matplotlib for making me work so hard to figure this crap out
|
||||
|
||||
# the drawing surface
|
||||
py_canvas(fig) = fig[:canvas]
|
||||
py_canvas(fig) = fig."canvas"
|
||||
|
||||
# the object controlling draw commands
|
||||
py_renderer(fig) = py_canvas(fig)[:get_renderer]()
|
||||
py_renderer(fig) = py_canvas(fig)."get_renderer"()
|
||||
|
||||
# draw commands... paint the screen (probably updating internals too)
|
||||
py_drawfig(fig) = fig[:draw](py_renderer(fig))
|
||||
py_drawfig(fig) = fig."draw"(py_renderer(fig))
|
||||
# py_drawax(ax) = ax[:draw](py_renderer(ax[:get_figure]()))
|
||||
|
||||
# get a vector [left, right, bottom, top] in PyPlot coords (origin is bottom-left!)
|
||||
py_extents(obj) = obj[:get_window_extent]()[:get_points]()
|
||||
py_extents(obj) = obj."get_window_extent"()."get_points"()
|
||||
|
||||
|
||||
# compute a bounding box (with origin top-left), however pyplot gives coords with origin bottom-left
|
||||
function py_bbox(obj)
|
||||
fl, fr, fb, ft = py_extents(obj[:get_figure]())
|
||||
fl, fr, fb, ft = py_extents(obj."get_figure"())
|
||||
l, r, b, t = py_extents(obj)
|
||||
BoundingBox(l*px, (ft-t)*px, (r-l)*px, (t-b)*px)
|
||||
end
|
||||
|
||||
py_bbox(::Nothing) = BoundingBox(0mm, 0mm)
|
||||
|
||||
# get the bounding box of the union of the objects
|
||||
function py_bbox(v::AVec)
|
||||
bbox_union = defaultbox
|
||||
@@ -291,13 +288,13 @@ end
|
||||
|
||||
# bounding box: union of axis tick labels
|
||||
function py_bbox_ticks(ax, letter)
|
||||
labels = ax[Symbol("get_"*letter*"ticklabels")]()
|
||||
labels = getproperty(ax, Symbol("get_"*letter*"ticklabels"))()
|
||||
py_bbox(labels)
|
||||
end
|
||||
|
||||
# bounding box: axis guide
|
||||
function py_bbox_axislabel(ax, letter)
|
||||
pyaxis_label = ax[Symbol("get_"*letter*"axis")]()[:label]
|
||||
pyaxis_label = getproperty(ax, Symbol("get_"*letter*"axis"))().label
|
||||
py_bbox(pyaxis_label)
|
||||
end
|
||||
|
||||
@@ -313,11 +310,14 @@ end
|
||||
function py_bbox_title(ax)
|
||||
bb = defaultbox
|
||||
for s in (:title, :_left_title, :_right_title)
|
||||
bb = bb + py_bbox(ax[s])
|
||||
bb = bb + py_bbox(getproperty(ax, s))
|
||||
end
|
||||
bb
|
||||
end
|
||||
|
||||
# bounding box: legend
|
||||
py_bbox_legend(ax) = py_bbox(ax."get_legend"())
|
||||
|
||||
function py_thickness_scale(plt::Plot{PyPlotBackend}, ptsz)
|
||||
ptsz * plt[:thickness_scaling]
|
||||
end
|
||||
@@ -351,7 +351,7 @@ function py_init_subplot(plt::Plot{PyPlotBackend}, sp::Subplot{PyPlotBackend})
|
||||
proj = (proj in (nothing,:none) ? nothing : string(proj))
|
||||
|
||||
# add a new axis, and force it to create a new one by setting a distinct label
|
||||
ax = fig[:add_axes](
|
||||
ax = fig."add_axes"(
|
||||
[0,0,1,1],
|
||||
label = string(gensym()),
|
||||
projection = proj
|
||||
@@ -383,6 +383,18 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
elseif st == :shape
|
||||
x, y = shape_data(series)
|
||||
end
|
||||
|
||||
if ispolar(series)
|
||||
# make negative radii positive and flip the angle
|
||||
# (PyPlot ignores negative radii)
|
||||
for i in eachindex(y)
|
||||
if y[i] < 0
|
||||
y[i] = -y[i]
|
||||
x[i] -= π
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
xyargs = (st in _3dTypes ? (x,y,z) : (x,y))
|
||||
|
||||
# handle zcolor and get c/cmap
|
||||
@@ -390,7 +402,11 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
vmin, vmax = clims = get_clims(sp)
|
||||
|
||||
# Dict to store extra kwargs
|
||||
extrakw = KW(:vmin => vmin, :vmax => vmax)
|
||||
if st == :wireframe
|
||||
extrakw = KW() # vmin, vmax cause an error for wireframe plot
|
||||
else
|
||||
extrakw = KW(:vmin => vmin, :vmax => vmax)
|
||||
end
|
||||
|
||||
# holds references to any python object representing the matplotlib series
|
||||
handles = []
|
||||
@@ -448,7 +464,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
# push!(handles, handle)
|
||||
# else
|
||||
for (i, rng) in enumerate(iter_segments(series))
|
||||
handle = ax[:plot]((arg[rng] for arg in xyargs)...;
|
||||
handle = ax."plot"((arg[rng] for arg in xyargs)...;
|
||||
label = i == 1 ? series[:label] : "",
|
||||
zorder = series[:series_plotindex],
|
||||
color = py_color(get_linecolor(series, clims, i), get_linealpha(series, i)),
|
||||
@@ -476,7 +492,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
:linestyle => py_linestyle(st, get_linestyle(series)),
|
||||
)
|
||||
add_arrows(x, y) do xyprev, xy
|
||||
ax[:annotate]("",
|
||||
ax."annotate"("",
|
||||
xytext = (0.001xyprev[1] + 0.999xy[1], 0.001xyprev[2] + 0.999xy[2]),
|
||||
xy = xy,
|
||||
arrowprops = arrowprops,
|
||||
@@ -498,7 +514,13 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
else
|
||||
py_color(plot_color(series[:markercolor], series[:markeralpha]))
|
||||
end
|
||||
extrakw[:c] = py_color_fix(markercolor, x)
|
||||
extrakw[:c] = if markercolor isa Array
|
||||
permutedims(hcat([[m...] for m in markercolor]...),[2,1])
|
||||
elseif markercolor isa Tuple
|
||||
reshape([markercolor...], 1, length(markercolor))
|
||||
else
|
||||
error("This case is not handled. Please file an issue.")
|
||||
end
|
||||
xyargs = if st == :bar && !isvertical(series)
|
||||
(y, x)
|
||||
else
|
||||
@@ -506,7 +528,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
end
|
||||
|
||||
if isa(series[:markershape], AbstractVector{Shape})
|
||||
# this section will create one scatter per data point to accomodate the
|
||||
# this section will create one scatter per data point to accommodate the
|
||||
# vector of shapes
|
||||
handle = []
|
||||
x,y = xyargs
|
||||
@@ -516,7 +538,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
for i=1:length(y)
|
||||
extrakw[:c] = _cycle(markercolor, i)
|
||||
|
||||
push!(handle, ax[:scatter](_cycle(x,i), _cycle(y,i);
|
||||
push!(handle, ax."scatter"(_cycle(x,i), _cycle(y,i);
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex] + 0.5,
|
||||
marker = py_marker(_cycle(shapes,i)),
|
||||
@@ -526,10 +548,72 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
extrakw...
|
||||
))
|
||||
end
|
||||
push!(handles, handle)
|
||||
elseif isa(series[:markershape], AbstractVector{Symbol})
|
||||
handle = []
|
||||
x,y = xyargs
|
||||
shapes = series[:markershape]
|
||||
|
||||
prev_marker = py_marker(_cycle(shapes,1))
|
||||
|
||||
cur_x_list = []
|
||||
cur_y_list = []
|
||||
|
||||
cur_color_list = []
|
||||
cur_scale_list = []
|
||||
|
||||
delete!(extrakw, :c)
|
||||
|
||||
for i=1:length(y)
|
||||
cur_marker = py_marker(_cycle(shapes,i))
|
||||
|
||||
if ( cur_marker == prev_marker )
|
||||
push!(cur_x_list, _cycle(x,i))
|
||||
push!(cur_y_list, _cycle(y,i))
|
||||
|
||||
push!(cur_color_list, _cycle(markercolor, i))
|
||||
push!(cur_scale_list, py_thickness_scale(plt, _cycle(series[:markersize],i) .^ 2))
|
||||
|
||||
continue
|
||||
end
|
||||
|
||||
push!(handle, ax."scatter"(cur_x_list, cur_y_list;
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex] + 0.5,
|
||||
marker = prev_marker,
|
||||
s = cur_scale_list,
|
||||
edgecolors = py_markerstrokecolor(series),
|
||||
linewidths = py_thickness_scale(plt, series[:markerstrokewidth]),
|
||||
facecolors = cur_color_list,
|
||||
extrakw...
|
||||
))
|
||||
|
||||
cur_x_list = [_cycle(x,i)]
|
||||
cur_y_list = [_cycle(y,i)]
|
||||
|
||||
cur_color_list = [_cycle(markercolor, i)]
|
||||
cur_scale_list = [py_thickness_scale(plt, _cycle(series[:markersize],i) .^ 2)]
|
||||
|
||||
prev_marker = cur_marker
|
||||
end
|
||||
|
||||
if !isempty(cur_color_list)
|
||||
push!(handle, ax."scatter"(cur_x_list, cur_y_list;
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex] + 0.5,
|
||||
marker = prev_marker,
|
||||
s = cur_scale_list,
|
||||
edgecolors = py_markerstrokecolor(series),
|
||||
linewidths = py_thickness_scale(plt, series[:markerstrokewidth]),
|
||||
facecolors = cur_color_list,
|
||||
extrakw...
|
||||
))
|
||||
end
|
||||
|
||||
push!(handles, handle)
|
||||
else
|
||||
# do a normal scatter plot
|
||||
handle = ax[:scatter](xyargs...;
|
||||
handle = ax."scatter"(xyargs...;
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex] + 0.5,
|
||||
marker = py_marker(series[:markershape]),
|
||||
@@ -543,7 +627,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
end
|
||||
|
||||
if st == :hexbin
|
||||
handle = ax[:hexbin](x, y;
|
||||
handle = ax."hexbin"(x, y;
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex],
|
||||
gridsize = series[:bins],
|
||||
@@ -575,7 +659,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
end
|
||||
|
||||
# contour lines
|
||||
handle = ax[:contour](x, y, z, levelargs...;
|
||||
handle = ax."contour"(x, y, z, levelargs...;
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex],
|
||||
linewidths = py_thickness_scale(plt, series[:linewidth]),
|
||||
@@ -583,13 +667,13 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
extrakw...
|
||||
)
|
||||
if series[:contour_labels] == true
|
||||
PyPlot.clabel(handle, handle[:levels])
|
||||
PyPlot."clabel"(handle, handle.levels)
|
||||
end
|
||||
push!(handles, handle)
|
||||
|
||||
# contour fills
|
||||
if series[:fillrange] != nothing
|
||||
handle = ax[:contourf](x, y, z, levelargs...;
|
||||
handle = ax."contourf"(x, y, z, levelargs...;
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex] + 0.5,
|
||||
extrakw...
|
||||
@@ -615,7 +699,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
extrakw[:cmap] = py_fillcolormap(series)
|
||||
end
|
||||
end
|
||||
handle = ax[st == :surface ? :plot_surface : :plot_wireframe](x, y, z;
|
||||
handle = getproperty(ax, st == :surface ? :plot_surface : :plot_wireframe)(x, y, z;
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex],
|
||||
rstride = series[:stride][1],
|
||||
@@ -630,7 +714,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
if series[:contours]
|
||||
for (zdir,mat) in (("x",x), ("y",y), ("z",z))
|
||||
offset = (zdir == "y" ? ignorenan_maximum : ignorenan_minimum)(mat)
|
||||
handle = ax[:contourf](x, y, z, levelargs...;
|
||||
handle = ax."contourf"(x, y, z, levelargs...;
|
||||
zdir = zdir,
|
||||
cmap = py_fillcolormap(series),
|
||||
offset = (zdir == "y" ? ignorenan_maximum : ignorenan_minimum)(mat) # where to draw the contour plane
|
||||
@@ -642,7 +726,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
|
||||
elseif typeof(z) <: AbstractVector
|
||||
# tri-surface plot (http://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html#tri-surface-plots)
|
||||
handle = ax[:plot_trisurf](x, y, z;
|
||||
handle = ax."plot_trisurf"(x, y, z;
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex],
|
||||
cmap = py_fillcolormap(series),
|
||||
@@ -667,9 +751,9 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
else
|
||||
z # hopefully it's in a data format that will "just work" with imshow
|
||||
end
|
||||
handle = ax[:imshow](z;
|
||||
handle = ax."imshow"(z;
|
||||
zorder = series[:series_plotindex],
|
||||
cmap = py_colormap([:black, :white]),
|
||||
cmap = py_colormap(cgrad([:black, :white])),
|
||||
vmin = 0.0,
|
||||
vmax = 1.0,
|
||||
extent = (xmin, xmax, ymax, ymin)
|
||||
@@ -677,7 +761,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
push!(handles, handle)
|
||||
|
||||
# expand extrema... handle is AxesImage object
|
||||
xmin, xmax, ymax, ymin = handle[:get_extent]()
|
||||
xmin, xmax, ymax, ymin = handle."get_extent"()
|
||||
expand_extrema!(sp, xmin, xmax, ymin, ymax)
|
||||
# sp[:yaxis].series[:flip] = true
|
||||
end
|
||||
@@ -692,7 +776,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
discrete_colorbar_values = dvals
|
||||
end
|
||||
|
||||
handle = ax[:pcolormesh](x, y, py_mask_nans(z);
|
||||
handle = ax."pcolormesh"(x, y, py_mask_nans(z);
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex],
|
||||
cmap = py_fillcolormap(series),
|
||||
@@ -707,8 +791,8 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
handle = []
|
||||
for (i, rng) in enumerate(iter_segments(series))
|
||||
if length(rng) > 1
|
||||
path = pypath["Path"](hcat(x[rng], y[rng]))
|
||||
patches = pypatches["PathPatch"](
|
||||
path = pypath."Path"(hcat(x[rng], y[rng]))
|
||||
patches = pypatches."PathPatch"(
|
||||
path;
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex],
|
||||
@@ -718,14 +802,14 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
linestyle = py_linestyle(st, get_linestyle(series, i)),
|
||||
fill = true
|
||||
)
|
||||
push!(handle, ax[:add_patch](patches))
|
||||
push!(handle, ax."add_patch"(patches))
|
||||
end
|
||||
end
|
||||
push!(handles, handle)
|
||||
end
|
||||
|
||||
if st == :pie
|
||||
handle = ax[:pie](y;
|
||||
handle = ax."pie"(y;
|
||||
# colors = # a vector of colors?
|
||||
labels = pie_labels(sp, series)
|
||||
)[1]
|
||||
@@ -760,7 +844,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
dim1, _cycle(fillrange[1], rng), _cycle(fillrange[2], rng)
|
||||
end
|
||||
|
||||
handle = ax[f](args..., trues(n), false, py_fillstepstyle(st);
|
||||
handle = getproperty(ax, f)(args..., trues(n), false, py_fillstepstyle(st);
|
||||
zorder = series[:series_plotindex],
|
||||
facecolor = py_color(get_fillcolor(series, clims, i), get_fillalpha(series, i)),
|
||||
linewidths = 0
|
||||
@@ -781,27 +865,27 @@ end
|
||||
function py_set_lims(ax, axis::Axis)
|
||||
letter = axis[:letter]
|
||||
lfrom, lto = axis_limits(axis)
|
||||
ax[Symbol("set_", letter, "lim")](lfrom, lto)
|
||||
getproperty(ax, Symbol("set_", letter, "lim"))(lfrom, lto)
|
||||
end
|
||||
|
||||
function py_set_ticks(ax, ticks, letter)
|
||||
ticks == :auto && return
|
||||
axis = ax[Symbol(letter,"axis")]
|
||||
axis = getproperty(ax, Symbol(letter,"axis"))
|
||||
if ticks == :none || ticks == nothing || ticks == false
|
||||
kw = KW()
|
||||
for dir in (:top,:bottom,:left,:right)
|
||||
kw[dir] = kw[Symbol(:label,dir)] = "off"
|
||||
kw[dir] = kw[Symbol(:label,dir)] = false
|
||||
end
|
||||
axis[:set_tick_params](;which="both", kw...)
|
||||
axis."set_tick_params"(;which="both", kw...)
|
||||
return
|
||||
end
|
||||
|
||||
ttype = ticksType(ticks)
|
||||
if ttype == :ticks
|
||||
axis[:set_ticks](ticks)
|
||||
axis."set_ticks"(ticks)
|
||||
elseif ttype == :ticks_and_labels
|
||||
axis[:set_ticks](ticks[1])
|
||||
axis[:set_ticklabels](ticks[2])
|
||||
axis."set_ticks"(ticks[1])
|
||||
axis."set_ticklabels"(ticks[2])
|
||||
else
|
||||
error("Invalid input for $(letter)ticks: $ticks")
|
||||
end
|
||||
@@ -831,7 +915,7 @@ function py_set_scale(ax, axis::Axis)
|
||||
scale = axis[:scale]
|
||||
letter = axis[:letter]
|
||||
scale in supported_scales() || return @warn("Unhandled scale value in pyplot: $scale")
|
||||
func = ax[Symbol("set_", letter, "scale")]
|
||||
func = getproperty(ax, Symbol("set_", letter, "scale"))
|
||||
kw = KW()
|
||||
arg = if scale == :identity
|
||||
"linear"
|
||||
@@ -851,16 +935,16 @@ end
|
||||
|
||||
|
||||
function py_set_axis_colors(sp, ax, a::Axis)
|
||||
for (loc, spine) in ax[:spines]
|
||||
spine[:set_color](py_color(a[:foreground_color_border]))
|
||||
for (loc, spine) in ax.spines
|
||||
spine."set_color"(py_color(a[:foreground_color_border]))
|
||||
end
|
||||
axissym = Symbol(a[:letter], :axis)
|
||||
if haskey(ax, axissym)
|
||||
if PyCall.hasproperty(ax, axissym)
|
||||
tickcolor = sp[:framestyle] in (:zerolines, :grid) ? py_color(plot_color(a[:foreground_color_grid], a[:gridalpha])) : py_color(a[:foreground_color_axis])
|
||||
ax[:tick_params](axis=string(a[:letter]), which="both",
|
||||
ax."tick_params"(axis=string(a[:letter]), which="both",
|
||||
colors=tickcolor,
|
||||
labelcolor=py_color(a[:tickfontcolor]))
|
||||
ax[axissym][:label][:set_color](py_color(a[:guidefontcolor]))
|
||||
getproperty(ax, axissym).label.set_color(py_color(a[:guidefontcolor]))
|
||||
end
|
||||
end
|
||||
|
||||
@@ -872,14 +956,14 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
# update the fig
|
||||
w, h = plt[:size]
|
||||
fig = plt.o
|
||||
fig[:clear]()
|
||||
fig."clear"()
|
||||
dpi = plt[:dpi]
|
||||
fig[:set_size_inches](w/DPI, h/DPI, forward = true)
|
||||
fig[set_facecolor_sym](py_color(plt[:background_color_outside]))
|
||||
fig[:set_dpi](plt[:dpi])
|
||||
fig."set_size_inches"(w/DPI, h/DPI, forward = true)
|
||||
getproperty(fig, set_facecolor_sym)(py_color(plt[:background_color_outside]))
|
||||
fig."set_dpi"(plt[:dpi])
|
||||
|
||||
# resize the window
|
||||
PyPlot.plt[:get_current_fig_manager]()[:resize](w, h)
|
||||
PyPlot.plt."get_current_fig_manager"().resize(w, h)
|
||||
|
||||
# initialize subplots
|
||||
for sp in plt.subplots
|
||||
@@ -913,10 +997,10 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
else
|
||||
:title
|
||||
end
|
||||
ax[func][:set_text](sp[:title])
|
||||
ax[func][:set_fontsize](py_thickness_scale(plt, sp[:titlefontsize]))
|
||||
ax[func][:set_family](sp[:titlefontfamily])
|
||||
ax[func][:set_color](py_color(sp[:titlefontcolor]))
|
||||
getproperty(ax, func)."set_text"(sp[:title])
|
||||
getproperty(ax, func)."set_fontsize"(py_thickness_scale(plt, sp[:titlefontsize]))
|
||||
getproperty(ax, func)."set_family"(sp[:titlefontfamily])
|
||||
getproperty(ax, func)."set_color"(py_color(sp[:titlefontcolor]))
|
||||
# ax[:set_title](sp[:title], loc = loc)
|
||||
end
|
||||
|
||||
@@ -936,7 +1020,7 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
kw[:boundaries] = vcat(0, kw[:values] + 0.5)
|
||||
elseif any(colorbar_series[attr] != nothing for attr in (:line_z, :fill_z, :marker_z))
|
||||
cmin, cmax = get_clims(sp)
|
||||
norm = pycolors[:Normalize](vmin = cmin, vmax = cmax)
|
||||
norm = pycolors."Normalize"(vmin = cmin, vmax = cmax)
|
||||
f = if colorbar_series[:line_z] != nothing
|
||||
py_linecolormap
|
||||
elseif colorbar_series[:fill_z] != nothing
|
||||
@@ -944,21 +1028,22 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
else
|
||||
py_markercolormap
|
||||
end
|
||||
cmap = pycmap[:ScalarMappable](norm = norm, cmap = f(colorbar_series))
|
||||
cmap[:set_array]([])
|
||||
cmap = pycmap."ScalarMappable"(norm = norm, cmap = f(colorbar_series))
|
||||
cmap."set_array"([])
|
||||
handle = cmap
|
||||
end
|
||||
kw[:spacing] = "proportional"
|
||||
|
||||
# create and store the colorbar object (handle) and the axis that it is drawn on.
|
||||
# note: the colorbar axis is positioned independently from the subplot axis
|
||||
fig = plt.o
|
||||
cbax = fig[:add_axes]([0.8,0.1,0.03,0.8], label = string(gensym()))
|
||||
cb = fig[:colorbar](handle; cax = cbax, kw...)
|
||||
cb[:set_label](sp[:colorbar_title],size=py_thickness_scale(plt, sp[:yaxis][:guidefontsize]),family=sp[:yaxis][:guidefontfamily], color = py_color(sp[:yaxis][:guidefontcolor]))
|
||||
for lab in cb[:ax][:yaxis][:get_ticklabels]()
|
||||
lab[:set_fontsize](py_thickness_scale(plt, sp[:yaxis][:tickfontsize]))
|
||||
lab[:set_family](sp[:yaxis][:tickfontfamily])
|
||||
lab[:set_color](py_color(sp[:yaxis][:tickfontcolor]))
|
||||
cbax = fig."add_axes"([0.8,0.1,0.03,0.8], label = string(gensym()))
|
||||
cb = fig."colorbar"(handle; cax = cbax, kw...)
|
||||
cb."set_label"(sp[:colorbar_title],size=py_thickness_scale(plt, sp[:yaxis][:guidefontsize]),family=sp[:yaxis][:guidefontfamily], color = py_color(sp[:yaxis][:guidefontcolor]))
|
||||
for lab in cb."ax"."yaxis"."get_ticklabels"()
|
||||
lab."set_fontsize"(py_thickness_scale(plt, sp[:yaxis][:tickfontsize]))
|
||||
lab."set_family"(sp[:yaxis][:tickfontfamily])
|
||||
lab."set_color"(py_color(sp[:yaxis][:tickfontcolor]))
|
||||
end
|
||||
sp.attr[:cbar_handle] = cb
|
||||
sp.attr[:cbar_ax] = cbax
|
||||
@@ -966,28 +1051,28 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
|
||||
# framestyle
|
||||
if !ispolar(sp) && !is3d(sp)
|
||||
ax[:spines]["left"][:set_linewidth](py_thickness_scale(plt, 1))
|
||||
ax[:spines]["bottom"][:set_linewidth](py_thickness_scale(plt, 1))
|
||||
ax.spines["left"]."set_linewidth"(py_thickness_scale(plt, 1))
|
||||
ax.spines["bottom"]."set_linewidth"(py_thickness_scale(plt, 1))
|
||||
if sp[:framestyle] == :semi
|
||||
intensity = 0.5
|
||||
ax[:spines]["right"][:set_alpha](intensity)
|
||||
ax[:spines]["top"][:set_alpha](intensity)
|
||||
ax[:spines]["right"][:set_linewidth](py_thickness_scale(plt, intensity))
|
||||
ax[:spines]["top"][:set_linewidth](py_thickness_scale(plt, intensity))
|
||||
ax.spines["right"]."set_alpha"(intensity)
|
||||
ax.spines["top"]."set_alpha"(intensity)
|
||||
ax.spines["right"]."set_linewidth"(py_thickness_scale(plt, intensity))
|
||||
ax.spines["top"]."set_linewidth"(py_thickness_scale(plt, intensity))
|
||||
elseif sp[:framestyle] in (:axes, :origin)
|
||||
ax[:spines]["right"][:set_visible](false)
|
||||
ax[:spines]["top"][:set_visible](false)
|
||||
ax.spines["right"]."set_visible"(false)
|
||||
ax.spines["top"]."set_visible"(false)
|
||||
if sp[:framestyle] == :origin
|
||||
ax[:spines]["bottom"][:set_position]("zero")
|
||||
ax[:spines]["left"][:set_position]("zero")
|
||||
ax.spines["bottom"]."set_position"("zero")
|
||||
ax.spines["left"]."set_position"("zero")
|
||||
end
|
||||
elseif sp[:framestyle] in (:grid, :none, :zerolines)
|
||||
for (loc, spine) in ax[:spines]
|
||||
spine[:set_visible](false)
|
||||
for (loc, spine) in ax.spines
|
||||
spine."set_visible"(false)
|
||||
end
|
||||
if sp[:framestyle] == :zerolines
|
||||
ax[:axhline](y = 0, color = py_color(sp[:xaxis][:foreground_color_axis]), lw = py_thickness_scale(plt, 0.75))
|
||||
ax[:axvline](x = 0, color = py_color(sp[:yaxis][:foreground_color_axis]), lw = py_thickness_scale(plt, 0.75))
|
||||
ax."axhline"(y = 0, color = py_color(sp[:xaxis][:foreground_color_axis]), lw = py_thickness_scale(plt, 0.75))
|
||||
ax."axvline"(x = 0, color = py_color(sp[:yaxis][:foreground_color_axis]), lw = py_thickness_scale(plt, 0.75))
|
||||
end
|
||||
end
|
||||
end
|
||||
@@ -995,22 +1080,22 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
# axis attributes
|
||||
for letter in (:x, :y, :z)
|
||||
axissym = Symbol(letter, :axis)
|
||||
haskey(ax, axissym) || continue
|
||||
PyCall.hasproperty(ax, axissym) || continue
|
||||
axis = sp[axissym]
|
||||
pyaxis = ax[axissym]
|
||||
pyaxis = getproperty(ax, axissym)
|
||||
if axis[:mirror] && letter != :z
|
||||
pos = letter == :x ? "top" : "right"
|
||||
pyaxis[:set_label_position](pos) # the guides
|
||||
pyaxis[:set_ticks_position]("both") # the hash marks
|
||||
pyaxis[Symbol(:tick_, pos)]() # the tick labels
|
||||
pyaxis."set_label_position"(pos) # the guides
|
||||
pyaxis."set_ticks_position"("both") # the hash marks
|
||||
getproperty(pyaxis, Symbol(:tick_, pos))() # the tick labels
|
||||
end
|
||||
if axis[:guide_position] != :auto && letter != :z
|
||||
pyaxis[:set_label_position](axis[:guide_position])
|
||||
pyaxis."set_label_position"(axis[:guide_position])
|
||||
end
|
||||
py_set_scale(ax, axis)
|
||||
axis[:ticks] != :native ? py_set_lims(ax, axis) : nothing
|
||||
if ispolar(sp) && letter == :y
|
||||
ax[:set_rlabel_position](90)
|
||||
ax."set_rlabel_position"(90)
|
||||
end
|
||||
ticks = sp[:framestyle] == :none ? nothing : get_ticks(axis)
|
||||
# don't show the 0 tick label for the origin framestyle
|
||||
@@ -1018,28 +1103,28 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
ticks[2][ticks[1] .== 0] .= ""
|
||||
end
|
||||
axis[:ticks] != :native ? py_set_ticks(ax, ticks, letter) : nothing
|
||||
pyaxis[:set_tick_params](direction = axis[:tick_direction] == :out ? "out" : "in")
|
||||
ax[Symbol("set_", letter, "label")](axis[:guide])
|
||||
pyaxis."set_tick_params"(direction = axis[:tick_direction] == :out ? "out" : "in")
|
||||
getproperty(ax, Symbol("set_", letter, "label"))(axis[:guide])
|
||||
if get(axis.plotattributes, :flip, false)
|
||||
ax[Symbol("invert_", letter, "axis")]()
|
||||
getproperty(ax, Symbol("invert_", letter, "axis"))()
|
||||
end
|
||||
pyaxis[:label][:set_fontsize](py_thickness_scale(plt, axis[:guidefontsize]))
|
||||
pyaxis[:label][:set_family](axis[:guidefontfamily])
|
||||
for lab in ax[Symbol("get_", letter, "ticklabels")]()
|
||||
lab[:set_fontsize](py_thickness_scale(plt, axis[:tickfontsize]))
|
||||
lab[:set_family](axis[:tickfontfamily])
|
||||
lab[:set_rotation](axis[:rotation])
|
||||
pyaxis."label"."set_fontsize"(py_thickness_scale(plt, axis[:guidefontsize]))
|
||||
pyaxis."label"."set_family"(axis[:guidefontfamily])
|
||||
for lab in getproperty(ax, Symbol("get_", letter, "ticklabels"))()
|
||||
lab."set_fontsize"(py_thickness_scale(plt, axis[:tickfontsize]))
|
||||
lab."set_family"(axis[:tickfontfamily])
|
||||
lab."set_rotation"(axis[:rotation])
|
||||
end
|
||||
if axis[:grid] && !(ticks in (:none, nothing, false))
|
||||
fgcolor = py_color(axis[:foreground_color_grid])
|
||||
pyaxis[:grid](true,
|
||||
pyaxis."grid"(true,
|
||||
color = fgcolor,
|
||||
linestyle = py_linestyle(:line, axis[:gridstyle]),
|
||||
linewidth = py_thickness_scale(plt, axis[:gridlinewidth]),
|
||||
alpha = axis[:gridalpha])
|
||||
ax[:set_axisbelow](true)
|
||||
ax."set_axisbelow"(true)
|
||||
else
|
||||
pyaxis[:grid](false)
|
||||
pyaxis."grid"(false)
|
||||
end
|
||||
py_set_axis_colors(sp, ax, axis)
|
||||
end
|
||||
@@ -1049,48 +1134,48 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
kw = KW()
|
||||
for dir in (:top, :bottom)
|
||||
if ispolar(sp)
|
||||
ax[:spines]["polar"][:set_visible](false)
|
||||
ax."spines"."polar"."set_visible"(false)
|
||||
else
|
||||
ax[:spines][string(dir)][:set_visible](false)
|
||||
getproperty(ax.spines, dir).set_visible(false)
|
||||
end
|
||||
kw[dir] = kw[Symbol(:label,dir)] = "off"
|
||||
kw[dir] = kw[Symbol(:label,dir)] = false
|
||||
end
|
||||
ax[:xaxis][:set_tick_params](; which="both", kw...)
|
||||
ax."xaxis"."set_tick_params"(; which="both", kw...)
|
||||
end
|
||||
if !sp[:yaxis][:showaxis]
|
||||
kw = KW()
|
||||
for dir in (:left, :right)
|
||||
if !ispolar(sp)
|
||||
ax[:spines][string(dir)][:set_visible](false)
|
||||
getproperty(ax.spines, dir).set_visible(false)
|
||||
end
|
||||
kw[dir] = kw[Symbol(:label,dir)] = "off"
|
||||
kw[dir] = kw[Symbol(:label,dir)] = false
|
||||
end
|
||||
ax[:yaxis][:set_tick_params](; which="both", kw...)
|
||||
ax."yaxis"."set_tick_params"(; which="both", kw...)
|
||||
end
|
||||
|
||||
# aspect ratio
|
||||
aratio = sp[:aspect_ratio]
|
||||
if aratio != :none
|
||||
ax[:set_aspect](isa(aratio, Symbol) ? string(aratio) : aratio, anchor = "C")
|
||||
ax."set_aspect"(isa(aratio, Symbol) ? string(aratio) : aratio, anchor = "C")
|
||||
end
|
||||
|
||||
#camera/view angle
|
||||
if is3d(sp)
|
||||
#convert azimuthal to match GR behaviour
|
||||
#view_init(elevation, azimuthal) so reverse :camera args
|
||||
ax[:view_init]((sp[:camera].-(90,0))[end:-1:1]...)
|
||||
ax."view_init"((sp[:camera].-(90,0))[end:-1:1]...)
|
||||
end
|
||||
|
||||
# legend
|
||||
py_add_legend(plt, sp, ax)
|
||||
|
||||
# this sets the bg color inside the grid
|
||||
ax[set_facecolor_sym](py_color(sp[:background_color_inside]))
|
||||
getproperty(ax, set_facecolor_sym)(py_color(sp[:background_color_inside]))
|
||||
|
||||
# link axes
|
||||
x_ax_link, y_ax_link = sp[:xaxis].sps[1].o, sp[:yaxis].sps[1].o
|
||||
ax != x_ax_link && ax[:get_shared_x_axes]()[:join](ax, sp[:xaxis].sps[1].o)
|
||||
ax != y_ax_link && ax[:get_shared_y_axes]()[:join](ax, sp[:yaxis].sps[1].o)
|
||||
ax != x_ax_link && ax."get_shared_x_axes"()."join"(ax, sp[:xaxis].sps[1].o)
|
||||
ax != y_ax_link && ax."get_shared_y_axes"()."join"(ax, sp[:yaxis].sps[1].o)
|
||||
end
|
||||
py_drawfig(fig)
|
||||
end
|
||||
@@ -1110,7 +1195,7 @@ function _update_min_padding!(sp::Subplot{PyPlotBackend})
|
||||
toppad = 0mm
|
||||
rightpad = 0mm
|
||||
bottompad = 0mm
|
||||
for bb in (py_bbox_axis(ax, "x"), py_bbox_axis(ax, "y"), py_bbox_title(ax))
|
||||
for bb in (py_bbox_axis(ax, "x"), py_bbox_axis(ax, "y"), py_bbox_title(ax), py_bbox_legend(ax))
|
||||
if ispositive(width(bb)) && ispositive(height(bb))
|
||||
leftpad = max(leftpad, left(plotbb) - left(bb))
|
||||
toppad = max(toppad, top(plotbb) - top(bb))
|
||||
@@ -1121,7 +1206,7 @@ function _update_min_padding!(sp::Subplot{PyPlotBackend})
|
||||
|
||||
# optionally add the width of colorbar labels and colorbar to rightpad
|
||||
if haskey(sp.attr, :cbar_ax)
|
||||
bb = py_bbox(sp.attr[:cbar_handle][:ax][:get_yticklabels]())
|
||||
bb = py_bbox(sp.attr[:cbar_handle]."ax"."get_yticklabels"())
|
||||
sp.attr[:cbar_width] = _cbar_width + width(bb) + 2.3mm + (sp[:colorbar_title] == "" ? 0px : 30px)
|
||||
rightpad = rightpad + sp.attr[:cbar_width]
|
||||
end
|
||||
@@ -1142,19 +1227,19 @@ end
|
||||
|
||||
function py_add_annotations(sp::Subplot{PyPlotBackend}, x, y, val)
|
||||
ax = sp.o
|
||||
ax[:annotate](val, xy = (x,y), zorder = 999)
|
||||
ax."annotate"(val, xy = (x,y), zorder = 999)
|
||||
end
|
||||
|
||||
|
||||
function py_add_annotations(sp::Subplot{PyPlotBackend}, x, y, val::PlotText)
|
||||
ax = sp.o
|
||||
ax[:annotate](val.str,
|
||||
ax."annotate"(val.str,
|
||||
xy = (x,y),
|
||||
family = val.font.family,
|
||||
color = py_color(val.font.color),
|
||||
horizontalalignment = val.font.halign == :hcenter ? "center" : string(val.font.halign),
|
||||
verticalalignment = val.font.valign == :vcenter ? "center" : string(val.font.valign),
|
||||
rotation = val.font.rotation * 180 / π,
|
||||
rotation = val.font.rotation,
|
||||
size = py_thickness_scale(sp.plt, val.font.pointsize),
|
||||
zorder = 999
|
||||
)
|
||||
@@ -1173,6 +1258,34 @@ const _pyplot_legend_pos = KW(
|
||||
:topleft => "upper left"
|
||||
)
|
||||
|
||||
const _pyplot_legend_pos_outer = KW(
|
||||
:outerright => "center left",
|
||||
:outerleft => "right",
|
||||
:outertop => "lower center",
|
||||
:outerbottom => "upper center",
|
||||
:outerbottomleft => "lower right",
|
||||
:outerbottomright => "lower left",
|
||||
:outertopright => "upper left",
|
||||
:outertopleft => "upper right"
|
||||
)
|
||||
|
||||
py_legend_pos(pos::Symbol) = get(_pyplot_legend_pos, pos, get(_pyplot_legend_pos_outer, pos, "best"))
|
||||
py_legend_pos(pos) = "lower left"
|
||||
|
||||
const _pyplot_legend_bbox_outer = KW(
|
||||
:outerright => (1.0, 0.5, 0.0, 0.0),
|
||||
:outerleft => (-0.15, 0.5, 0.0, 0.0),
|
||||
:outertop => (0.5, 1.0, 0.0, 0.0),
|
||||
:outerbottom => (0.5, -0.15, 0.0, 0.0),
|
||||
:outerbottomleft => (-0.15, 0.0, 0.0, 0.0),
|
||||
:outerbottomright => (1.0, 0.0, 0.0, 0.0),
|
||||
:outertopright => (1.0, 1.0, 0.0, 0.0),
|
||||
:outertopleft => (-0.15, 1.0, 0.0, 0.0)
|
||||
)
|
||||
|
||||
py_legend_bbox(pos::Symbol) = get(_pyplot_legend_bbox_outer, pos, (0.0, 0.0, 1.0, 1.0))
|
||||
py_legend_bbox(pos) = pos
|
||||
|
||||
function py_add_legend(plt::Plot, sp::Subplot, ax)
|
||||
leg = sp[:legend]
|
||||
clims = get_clims(sp)
|
||||
@@ -1184,18 +1297,18 @@ function py_add_legend(plt::Plot, sp::Subplot, ax)
|
||||
if should_add_to_legend(series)
|
||||
# add a line/marker and a label
|
||||
push!(handles, if series[:seriestype] == :shape || series[:fillrange] != nothing
|
||||
pypatches[:Patch](
|
||||
pypatches."Patch"(
|
||||
edgecolor = py_color(get_linecolor(series, clims), get_linealpha(series)),
|
||||
facecolor = py_color(get_fillcolor(series, clims), get_fillalpha(series)),
|
||||
linewidth = py_thickness_scale(plt, clamp(get_linewidth(series), 0, 5)),
|
||||
linestyle = py_linestyle(series[:seriestype], get_linestyle(series))
|
||||
)
|
||||
elseif series[:seriestype] in (:path, :straightline)
|
||||
PyPlot.plt[:Line2D]((0,1),(0,0),
|
||||
elseif series[:seriestype] in (:path, :straightline, :scatter)
|
||||
PyPlot.plt."Line2D"((0,1),(0,0),
|
||||
color = py_color(get_linecolor(series, clims), get_linealpha(series)),
|
||||
linewidth = py_thickness_scale(plt, clamp(get_linewidth(series), 0, 5)),
|
||||
linestyle = py_linestyle(:path, get_linestyle(series)),
|
||||
marker = py_marker(series[:markershape]),
|
||||
marker = py_marker(first(series[:markershape])),
|
||||
markeredgecolor = py_color(get_markerstrokecolor(series), get_markerstrokealpha(series)),
|
||||
markerfacecolor = series[:marker_z] == nothing ? py_color(get_markercolor(series, clims), get_markeralpha(series)) : py_color(series[:markercolor][0.5])
|
||||
)
|
||||
@@ -1208,22 +1321,23 @@ function py_add_legend(plt::Plot, sp::Subplot, ax)
|
||||
|
||||
# if anything was added, call ax.legend and set the colors
|
||||
if !isempty(handles)
|
||||
leg = ax[:legend](handles,
|
||||
leg = ax."legend"(handles,
|
||||
labels,
|
||||
loc = get(_pyplot_legend_pos, leg, "best"),
|
||||
loc = py_legend_pos(leg),
|
||||
bbox_to_anchor = py_legend_bbox(leg),
|
||||
scatterpoints = 1,
|
||||
fontsize = py_thickness_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])),
|
||||
)
|
||||
frame = leg[:get_frame]()
|
||||
frame[:set_linewidth](py_thickness_scale(plt, 1))
|
||||
leg[:set_zorder](1000)
|
||||
sp[:legendtitle] != nothing && leg[:set_title](sp[:legendtitle])
|
||||
frame = leg."get_frame"()
|
||||
frame."set_linewidth"(py_thickness_scale(plt, 1))
|
||||
leg."set_zorder"(1000)
|
||||
sp[:legendtitle] != nothing && leg."set_title"(sp[:legendtitle])
|
||||
|
||||
for txt in leg[:get_texts]()
|
||||
PyPlot.plt[:setp](txt, color = py_color(sp[:legendfontcolor]), family = sp[:legendfontfamily])
|
||||
for txt in leg."get_texts"()
|
||||
PyPlot.plt."setp"(txt, color = py_color(sp[:legendfontcolor]), family = sp[:legendfontfamily])
|
||||
end
|
||||
end
|
||||
end
|
||||
@@ -1241,7 +1355,7 @@ function _update_plot_object(plt::Plot{PyPlotBackend})
|
||||
figw, figh = sp.plt[:size]
|
||||
figw, figh = figw*px, figh*px
|
||||
pcts = bbox_to_pcts(sp.plotarea, figw, figh)
|
||||
ax[:set_position](pcts)
|
||||
ax."set_position"(pcts)
|
||||
|
||||
# set the cbar position if there is one
|
||||
if haskey(sp.attr, :cbar_ax)
|
||||
@@ -1251,7 +1365,7 @@ function _update_plot_object(plt::Plot{PyPlotBackend})
|
||||
has_toplabel = !(1e-7 < max(abs(ex.emax), abs(ex.emin)) < 1e7)
|
||||
cb_bbox = BoundingBox(right(sp.bbox)-cbw+1mm, top(sp.bbox) + (has_toplabel ? 4mm : 2mm), _cbar_width-1mm, height(sp.bbox) - (has_toplabel ? 6mm : 4mm))
|
||||
pcts = bbox_to_pcts(cb_bbox, figw, figh)
|
||||
sp.attr[:cbar_ax][:set_position](pcts)
|
||||
sp.attr[:cbar_ax]."set_position"(pcts)
|
||||
end
|
||||
end
|
||||
PyPlot.draw()
|
||||
@@ -1260,9 +1374,7 @@ end
|
||||
# -----------------------------------------------------------------
|
||||
# display/output
|
||||
|
||||
function _display(plt::Plot{PyPlotBackend})
|
||||
plt.o[:show]()
|
||||
end
|
||||
_display(plt::Plot{PyPlotBackend}) = plt.o."show"()
|
||||
|
||||
|
||||
|
||||
@@ -1272,23 +1384,24 @@ const _pyplot_mimeformats = Dict(
|
||||
"application/pdf" => "pdf",
|
||||
"image/png" => "png",
|
||||
"application/postscript" => "ps",
|
||||
"image/svg+xml" => "svg"
|
||||
"image/svg+xml" => "svg",
|
||||
"application/x-tex" => "pgf"
|
||||
)
|
||||
|
||||
|
||||
for (mime, fmt) in _pyplot_mimeformats
|
||||
@eval function _show(io::IO, ::MIME{Symbol($mime)}, plt::Plot{PyPlotBackend})
|
||||
fig = plt.o
|
||||
fig[:canvas][:print_figure](
|
||||
fig."canvas"."print_figure"(
|
||||
io,
|
||||
format=$fmt,
|
||||
# bbox_inches = "tight",
|
||||
# figsize = map(px2inch, plt[:size]),
|
||||
facecolor = fig[:get_facecolor](),
|
||||
facecolor = fig."get_facecolor"(),
|
||||
edgecolor = "none",
|
||||
dpi = plt[:dpi]
|
||||
)
|
||||
end
|
||||
end
|
||||
|
||||
closeall(::PyPlotBackend) = PyPlot.plt[:close]("all")
|
||||
closeall(::PyPlotBackend) = PyPlot.plt."close"("all")
|
||||
|
||||
@@ -116,7 +116,7 @@ function addUnicodeSeries!(o, plotattributes::KW, addlegend::Bool, xlim, ylim)
|
||||
x, y = if st == :straightline
|
||||
straightline_data(plotattributes)
|
||||
elseif st == :shape
|
||||
shape_data(series)
|
||||
shape_data(plotattributes)
|
||||
else
|
||||
[collect(float(plotattributes[s])) for s in (:x, :y)]
|
||||
end
|
||||
|
||||
+56
-16
@@ -1,7 +1,7 @@
|
||||
|
||||
|
||||
const P2 = StaticArrays.SVector{2,Float64}
|
||||
const P3 = StaticArrays.SVector{3,Float64}
|
||||
const P2 = GeometryTypes.Point2{Float64}
|
||||
const P3 = GeometryTypes.Point3{Float64}
|
||||
|
||||
nanpush!(a::AbstractVector{P2}, b) = (push!(a, P2(NaN,NaN)); push!(a, b))
|
||||
nanappend!(a::AbstractVector{P2}, b) = (push!(a, P2(NaN,NaN)); append!(a, b))
|
||||
@@ -256,8 +256,24 @@ mutable struct Font
|
||||
color::Colorant
|
||||
end
|
||||
|
||||
"Create a Font from a list of unordered features"
|
||||
function font(args...)
|
||||
"""
|
||||
font(args...)
|
||||
Create a Font from a list of features. Values may be specified either as
|
||||
arguments (which are distinguished by type/value) or as keyword arguments.
|
||||
# Arguments
|
||||
- `family`: AbstractString. "serif" or "sans-serif" or "monospace"
|
||||
- `pointsize`: Integer. Size of font in points
|
||||
- `halign`: Symbol. Horizontal alignment (:hcenter, :left, or :right)
|
||||
- `valign`: Symbol. Vertical aligment (:vcenter, :top, or :bottom)
|
||||
- `rotation`: Real. Angle of rotation for text in degrees (use a non-integer type)
|
||||
- `color`: Colorant or Symbol
|
||||
# Examples
|
||||
```julia-repl
|
||||
julia> font(8)
|
||||
julia> font(family="serif",halign=:center,rotation=45.0)
|
||||
```
|
||||
"""
|
||||
function font(args...;kw...)
|
||||
|
||||
# defaults
|
||||
family = "sans-serif"
|
||||
@@ -301,6 +317,32 @@ function font(args...)
|
||||
end
|
||||
end
|
||||
|
||||
for symbol in keys(kw)
|
||||
if symbol == :family
|
||||
family = kw[:family]
|
||||
elseif symbol == :pointsize
|
||||
pointsize = kw[:pointsize]
|
||||
elseif symbol == :halign
|
||||
halign = kw[:halign]
|
||||
if halign == :center
|
||||
halign = :hcenter
|
||||
end
|
||||
@assert halign in (:hcenter, :left, :right)
|
||||
elseif symbol == :valign
|
||||
valign = kw[:valign]
|
||||
if valign == :center
|
||||
valign = :vcenter
|
||||
end
|
||||
@assert valign in (:vcenter, :top, :bottom)
|
||||
elseif symbol == :rotation
|
||||
rotation = kw[:rotation]
|
||||
elseif symbol == :color
|
||||
color = parse(Colorant, kw[:color])
|
||||
else
|
||||
@warn("Unused font kwarg: $symbol")
|
||||
end
|
||||
end
|
||||
|
||||
Font(family, pointsize, halign, valign, rotation, color)
|
||||
end
|
||||
|
||||
@@ -344,15 +386,16 @@ end
|
||||
PlotText(str) = PlotText(string(str), font())
|
||||
|
||||
"""
|
||||
text(string, args...)
|
||||
text(string, args...; kw...)
|
||||
|
||||
Create a PlotText object wrapping a string with font info, for plot annotations
|
||||
Create a PlotText object wrapping a string with font info, for plot annotations.
|
||||
`args` and `kw` are passed to `font`.
|
||||
"""
|
||||
text(t::PlotText) = t
|
||||
text(t::PlotText, font::Font) = PlotText(t.str, font)
|
||||
text(str::AbstractString, f::Font) = PlotText(str, f)
|
||||
function text(str, args...)
|
||||
PlotText(string(str), font(args...))
|
||||
function text(str, args...;kw...)
|
||||
PlotText(string(str), font(args...;kw...))
|
||||
end
|
||||
|
||||
Base.length(t::PlotText) = length(t.str)
|
||||
@@ -491,7 +534,7 @@ function series_annotations_shapes!(series::Series, scaletype::Symbol = :pixels)
|
||||
# with a list of custom shapes for each
|
||||
msw,msh = anns.scalefactor
|
||||
msize = Float64[]
|
||||
shapes = Vector{Shape}(length(anns.strs))
|
||||
shapes = Vector{Shape}(undef, length(anns.strs))
|
||||
for i in eachindex(anns.strs)
|
||||
str = _cycle(anns.strs,i)
|
||||
|
||||
@@ -509,7 +552,7 @@ function series_annotations_shapes!(series::Series, scaletype::Symbol = :pixels)
|
||||
# and then re-scale a copy of baseshape to match the w/h ratio
|
||||
maxscale = max(xscale, yscale)
|
||||
push!(msize, maxscale)
|
||||
baseshape = _cycle(get(anns.baseshape),i)
|
||||
baseshape = _cycle(anns.baseshape, i)
|
||||
shapes[i] = scale(baseshape, msw*xscale/maxscale, msh*yscale/maxscale, (0,0))
|
||||
end
|
||||
series[:markershape] = shapes
|
||||
@@ -554,7 +597,7 @@ function process_annotation(sp::Subplot, xs, ys, labs, font = font())
|
||||
alphabet = "abcdefghijklmnopqrstuvwxyz"
|
||||
push!(anns, (x, y, text(string("(", alphabet[sp[:subplot_index]], ")"), font)))
|
||||
else
|
||||
push!(anns, (x, y, isa(lab, PlotText) ? lab : text(lab, font)))
|
||||
push!(anns, (x, y, isa(lab, PlotText) ? lab : isa(lab, Tuple) ? text(lab...) : text(lab, font)))
|
||||
end
|
||||
end
|
||||
anns
|
||||
@@ -569,7 +612,7 @@ function process_annotation(sp::Subplot, positions::Union{AVec{Symbol},Symbol},
|
||||
alphabet = "abcdefghijklmnopqrstuvwxyz"
|
||||
push!(anns, (pos, text(string("(", alphabet[sp[:subplot_index]], ")"), font)))
|
||||
else
|
||||
push!(anns, (pos, isa(lab, PlotText) ? lab : text(lab, font)))
|
||||
push!(anns, (pos, isa(lab, PlotText) ? lab : isa(lab, Tuple) ? text(lab...) : text(lab, font)))
|
||||
end
|
||||
end
|
||||
anns
|
||||
@@ -736,7 +779,7 @@ end
|
||||
|
||||
# -----------------------------------------------------------------------
|
||||
"create a BezierCurve for plotting"
|
||||
mutable struct BezierCurve{T <: StaticArrays.SVector}
|
||||
mutable struct BezierCurve{T <: GeometryTypes.Point}
|
||||
control_points::Vector{T}
|
||||
end
|
||||
|
||||
@@ -749,9 +792,6 @@ function (bc::BezierCurve)(t::Real)
|
||||
p
|
||||
end
|
||||
|
||||
# mean(x::Real, y::Real) = 0.5*(x+y) #commented out as I cannot see this used anywhere and it overwrites a Base method with different functionality
|
||||
# mean{N,T<:Real}(ps::StaticArrays.SVector{N,T}...) = sum(ps) / length(ps) # I also could not see this used anywhere, and it's type piracy - implementing a NaNMath version for this would just involve converting to a standard array
|
||||
|
||||
@deprecate curve_points coords
|
||||
|
||||
coords(curve::BezierCurve, n::Integer = 30; range = [0,1]) = map(curve, range(range..., stop=n, length=50))
|
||||
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------------------------
|
||||
@@ -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
|
||||
@@ -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
|
||||
@@ -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
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,415 +0,0 @@
|
||||
|
||||
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
|
||||
@@ -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
|
||||
|
||||
|
||||
@@ -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!")
|
||||
|
||||
# --------------------------------------------------------------------
|
||||
+24
-3
@@ -86,8 +86,9 @@ yaxis!("YLABEL", :log10)
|
||||
PlotExample("Images",
|
||||
"Plot an image. y-axis is set to flipped",
|
||||
[:(begin
|
||||
import FileIO, PlotReferenceImages
|
||||
img = FileIO.load(joinpath(dirname(pathof(PlotReferenceImages)), "..", "Plots","pyplot","0.7.0","ref1.png"))
|
||||
import FileIO
|
||||
path = download("http://juliaplots.org/PlotReferenceImages.jl/Plots/pyplot/0.7.0/ref1.png")
|
||||
img = FileIO.load(path)
|
||||
plot(img)
|
||||
end)]
|
||||
),
|
||||
@@ -435,6 +436,24 @@ each line segment or marker in the plot.
|
||||
end)]
|
||||
),
|
||||
|
||||
PlotExample("Portfolio Composition maps",
|
||||
"""
|
||||
see: http://stackoverflow.com/a/37732384/5075246
|
||||
""",
|
||||
[:(begin
|
||||
using Random
|
||||
Random.seed!(111)
|
||||
tickers = ["IBM", "Google", "Apple", "Intel"]
|
||||
N = 10
|
||||
D = length(tickers)
|
||||
weights = rand(N,D)
|
||||
weights ./= sum(weights, dims = 2)
|
||||
returns = sort!((1:N) + D*randn(N))
|
||||
|
||||
portfoliocomposition(weights, returns, labels = permutedims(tickers))
|
||||
end)]
|
||||
),
|
||||
|
||||
]
|
||||
|
||||
# Some constants for PlotDocs and PlotReferenceImages
|
||||
@@ -446,6 +465,8 @@ _backend_skips = Dict(
|
||||
:pgfplots => [2, 5, 6, 10, 16, 20, 22, 23, 25, 28, 30],
|
||||
)
|
||||
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------------
|
||||
|
||||
# make and display one plot
|
||||
@@ -482,7 +503,7 @@ function test_examples(pkgname::Symbol; debug = false, disp = true, sleep = noth
|
||||
plts[i] = plt
|
||||
catch ex
|
||||
# TODO: put error info into markdown?
|
||||
warn("Example $pkgname:$i:$(_examples[i].header) failed with: $ex")
|
||||
@warn("Example $pkgname:$i:$(_examples[i].header) failed with: $ex")
|
||||
end
|
||||
if sleep != nothing
|
||||
Base.sleep(sleep)
|
||||
|
||||
@@ -0,0 +1,24 @@
|
||||
# ---------------------------------------------------------
|
||||
# A backup, if no PNG generation is defined, is to try to make a PDF and use FileIO to convert
|
||||
|
||||
_fileio_load(@nospecialize(filename::AbstractString)) = FileIO.load(filename::AbstractString)
|
||||
_fileio_save(@nospecialize(filename::AbstractString), @nospecialize(x)) = FileIO.save(filename::AbstractString, x)
|
||||
|
||||
function _show_pdfbackends(io::IO, ::MIME"image/png", plt::Plot)
|
||||
fn = tempname()
|
||||
|
||||
# first save a pdf file
|
||||
pdf(plt, fn)
|
||||
|
||||
# load that pdf into a FileIO Stream
|
||||
s = _fileio_load(fn * ".pdf")
|
||||
|
||||
# save a png
|
||||
pngfn = fn * ".png"
|
||||
_fileio_save(pngfn, s)
|
||||
|
||||
# now write from the file
|
||||
write(io, read(open(pngfn), String))
|
||||
end
|
||||
|
||||
const PDFBackends = Union{PGFPlotsBackend,PlotlyJSBackend,PyPlotBackend,InspectDRBackend,GRBackend}
|
||||
@@ -0,0 +1,59 @@
|
||||
const use_local_dependencies = Ref(false)
|
||||
const use_local_plotlyjs = Ref(false)
|
||||
|
||||
|
||||
function _init_ijulia_plotting()
|
||||
# IJulia is more stable with local file
|
||||
use_local_plotlyjs[] = isfile(plotly_local_file_path)
|
||||
|
||||
ENV["MPLBACKEND"] = "Agg"
|
||||
end
|
||||
|
||||
|
||||
"""
|
||||
Add extra jupyter mimetypes to display_dict based on the plot backed.
|
||||
|
||||
The default is nothing, except for plotly based backends, where it
|
||||
adds data for `application/vnd.plotly.v1+json` that is used in
|
||||
frontends like jupyterlab and nteract.
|
||||
"""
|
||||
_ijulia__extra_mime_info!(plt::Plot, out::Dict) = out
|
||||
|
||||
function _ijulia__extra_mime_info!(plt::Plot{PlotlyJSBackend}, out::Dict)
|
||||
out["application/vnd.plotly.v1+json"] = JSON.lower(plt.o)
|
||||
out
|
||||
end
|
||||
|
||||
function _ijulia__extra_mime_info!(plt::Plot{PlotlyBackend}, out::Dict)
|
||||
out["application/vnd.plotly.v1+json"] = Dict(
|
||||
:data => plotly_series(plt),
|
||||
:layout => plotly_layout(plt)
|
||||
)
|
||||
out
|
||||
end
|
||||
|
||||
|
||||
function _ijulia_display_dict(plt::Plot)
|
||||
output_type = Symbol(plt.attr[:html_output_format])
|
||||
if output_type == :auto
|
||||
output_type = get(_best_html_output_type, backend_name(plt.backend), :svg)
|
||||
end
|
||||
out = Dict()
|
||||
if output_type == :txt
|
||||
mime = "text/plain"
|
||||
out[mime] = sprint(show, MIME(mime), plt)
|
||||
elseif output_type == :png
|
||||
mime = "image/png"
|
||||
out[mime] = base64encode(show, MIME(mime), plt)
|
||||
elseif output_type == :svg
|
||||
mime = "image/svg+xml"
|
||||
out[mime] = sprint(show, MIME(mime), plt)
|
||||
elseif output_type == :html
|
||||
mime = "text/html"
|
||||
out[mime] = sprint(show, MIME(mime), plt)
|
||||
else
|
||||
error("Unsupported output type $output_type")
|
||||
end
|
||||
_ijulia__extra_mime_info!(plt, out)
|
||||
out
|
||||
end
|
||||
+28
-89
@@ -1,25 +1,33 @@
|
||||
const use_local_dependencies = Ref(false)
|
||||
using REPL
|
||||
|
||||
|
||||
function _plots_defaults()
|
||||
if isdefined(Main, :PLOTS_DEFAULTS)
|
||||
Dict{Symbol,Any}(Main.PLOTS_DEFAULTS)
|
||||
else
|
||||
Dict{Symbol,Any}()
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
function __init__()
|
||||
|
||||
if isdefined(Main, :PLOTS_DEFAULTS)
|
||||
if haskey(Main.PLOTS_DEFAULTS, :theme)
|
||||
theme(Main.PLOTS_DEFAULTS[:theme])
|
||||
end
|
||||
for (k,v) in Main.PLOTS_DEFAULTS
|
||||
k == :theme || default(k, v)
|
||||
end
|
||||
user_defaults = _plots_defaults()
|
||||
if haskey(user_defaults, :theme)
|
||||
theme(user_defaults[:theme])
|
||||
end
|
||||
pushdisplay(PlotsDisplay())
|
||||
for (k,v) in user_defaults
|
||||
k == :theme || default(k, v)
|
||||
end
|
||||
|
||||
insert!(Base.Multimedia.displays, findlast(x -> x isa Base.TextDisplay || x isa REPL.REPLDisplay, Base.Multimedia.displays) + 1, PlotsDisplay())
|
||||
|
||||
atreplinit(i -> begin
|
||||
if PlotDisplay() in Base.Multimedia.displays
|
||||
while PlotsDisplay() in Base.Multimedia.displays
|
||||
popdisplay(PlotsDisplay())
|
||||
end
|
||||
pushdisplay(PlotsDisplay())
|
||||
insert!(Base.Multimedia.displays, findlast(x -> x isa REPL.REPLDisplay, Base.Multimedia.displays) + 1, PlotsDisplay())
|
||||
end)
|
||||
|
||||
@require GLVisualize = "4086de5b-f4b6-55f3-abb0-b8c73827585f" include(joinpath(@__DIR__, "backends", "glvisualize.jl"))
|
||||
@require HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f" include(joinpath(@__DIR__, "backends", "hdf5.jl"))
|
||||
@require InspectDR = "d0351b0e-4b05-5898-87b3-e2a8edfddd1d" include(joinpath(@__DIR__, "backends", "inspectdr.jl"))
|
||||
@require PGFPlots = "3b7a836e-365b-5785-a47d-02c71176b4aa" include(joinpath(@__DIR__, "backends", "pgfplots.jl"))
|
||||
@@ -27,95 +35,26 @@ function __init__()
|
||||
@require PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee" include(joinpath(@__DIR__, "backends", "pyplot.jl"))
|
||||
@require UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228" include(joinpath(@__DIR__, "backends", "unicodeplots.jl"))
|
||||
|
||||
# ---------------------------------------------------------
|
||||
# IJulia
|
||||
# ---------------------------------------------------------
|
||||
use_local = false
|
||||
@require IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a" begin
|
||||
if IJulia.inited
|
||||
# IJulia is more stable with local file
|
||||
use_local = isfile(plotly_local_file_path)
|
||||
"""
|
||||
Add extra jupyter mimetypes to display_dict based on the plot backed.
|
||||
_init_ijulia_plotting()
|
||||
|
||||
The default is nothing, except for plotly based backends, where it
|
||||
adds data for `application/vnd.plotly.v1+json` that is used in
|
||||
frontends like jupyterlab and nteract.
|
||||
"""
|
||||
_extra_mime_info!(plt::Plot, out::Dict) = out
|
||||
function _extra_mime_info!(plt::Plot{PlotlyJSBackend}, out::Dict)
|
||||
out["application/vnd.plotly.v1+json"] = JSON.lower(plt.o)
|
||||
out
|
||||
end
|
||||
|
||||
function _extra_mime_info!(plt::Plot{PlotlyBackend}, out::Dict)
|
||||
out["application/vnd.plotly.v1+json"] = Dict(
|
||||
:data => plotly_series(plt),
|
||||
:layout => plotly_layout(plt)
|
||||
)
|
||||
out
|
||||
end
|
||||
|
||||
function IJulia.display_dict(plt::Plot)
|
||||
output_type = Symbol(plt.attr[:html_output_format])
|
||||
if output_type == :auto
|
||||
output_type = get(_best_html_output_type, backend_name(plt.backend), :svg)
|
||||
end
|
||||
out = Dict()
|
||||
if output_type == :txt
|
||||
mime = "text/plain"
|
||||
out[mime] = sprint(show, MIME(mime), plt)
|
||||
elseif output_type == :png
|
||||
mime = "image/png"
|
||||
out[mime] = base64encode(show, MIME(mime), plt)
|
||||
elseif output_type == :svg
|
||||
mime = "image/svg+xml"
|
||||
out[mime] = sprint(show, MIME(mime), plt)
|
||||
elseif output_type == :html
|
||||
mime = "text/html"
|
||||
out[mime] = sprint(show, MIME(mime), plt)
|
||||
else
|
||||
error("Unsupported output type $output_type")
|
||||
end
|
||||
_extra_mime_info!(plt, out)
|
||||
out
|
||||
end
|
||||
|
||||
ENV["MPLBACKEND"] = "Agg"
|
||||
IJulia.display_dict(plt::Plot) = _ijulia_display_dict(plt)
|
||||
end
|
||||
end
|
||||
|
||||
if haskey(ENV, "PLOTS_HOST_DEPENDENCY_LOCAL")
|
||||
use_local = ENV["PLOTS_HOST_DEPENDENCY_LOCAL"] == "true"
|
||||
use_local_dependencies[] = isfile(plotly_local_file_path) && use_local
|
||||
if use_local && !isfile(plotly_local_file_path)
|
||||
use_local_plotlyjs[] = ENV["PLOTS_HOST_DEPENDENCY_LOCAL"] == "true"
|
||||
use_local_dependencies[] = isfile(plotly_local_file_path) && use_local_plotlyjs[]
|
||||
if use_local_plotlyjs[] && !isfile(plotly_local_file_path)
|
||||
@warn("PLOTS_HOST_DEPENDENCY_LOCAL is set to true, but no local plotly file found. run Pkg.build(\"Plots\") and make sure PLOTS_HOST_DEPENDENCY_LOCAL is set to true")
|
||||
end
|
||||
else
|
||||
use_local_dependencies[] = use_local
|
||||
use_local_dependencies[] = use_local_plotlyjs[]
|
||||
end
|
||||
|
||||
|
||||
|
||||
# ---------------------------------------------------------
|
||||
# A backup, if no PNG generation is defined, is to try to make a PDF and use FileIO to convert
|
||||
@require FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549" begin
|
||||
PDFBackends = Union{PGFPlotsBackend,PlotlyJSBackend,PyPlotBackend,InspectDRBackend,GRBackend}
|
||||
function _show(io::IO, ::MIME"image/png", plt::Plot{<:PDFBackends})
|
||||
fn = tempname()
|
||||
|
||||
# first save a pdf file
|
||||
pdf(plt, fn)
|
||||
|
||||
# load that pdf into a FileIO Stream
|
||||
s = FileIO.load(fn * ".pdf")
|
||||
|
||||
# save a png
|
||||
pngfn = fn * ".png"
|
||||
FileIO.save(pngfn, s)
|
||||
|
||||
# now write from the file
|
||||
write(io, read(open(pngfn), String))
|
||||
end
|
||||
_show(io::IO, mime::MIME"image/png", plt::Plot{<:PDFBackends}) = _show_pdfbackends(io, mime, plt)
|
||||
end
|
||||
end
|
||||
|
||||
+1
-4
@@ -55,9 +55,7 @@ tex(fn::AbstractString) = tex(current(), fn)
|
||||
function html(plt::Plot, fn::AbstractString)
|
||||
fn = addExtension(fn, "html")
|
||||
io = open(fn, "w")
|
||||
_use_remote[] = true
|
||||
show(io, MIME("text/html"), plt)
|
||||
_use_remote[] = false
|
||||
close(io)
|
||||
end
|
||||
html(fn::AbstractString) = html(current(), fn)
|
||||
@@ -156,7 +154,6 @@ end
|
||||
const _best_html_output_type = KW(
|
||||
:pyplot => :png,
|
||||
:unicodeplots => :txt,
|
||||
:glvisualize => :png,
|
||||
:plotlyjs => :html,
|
||||
:plotly => :html
|
||||
)
|
||||
@@ -192,7 +189,7 @@ end
|
||||
# for writing to io streams... first prepare, then callback
|
||||
for mime in ("text/plain", "text/html", "image/png", "image/eps", "image/svg+xml",
|
||||
"application/eps", "application/pdf", "application/postscript",
|
||||
"application/x-tex")
|
||||
"application/x-tex", "application/vnd.plotly.v1+json")
|
||||
@eval function Base.show(io::IO, m::MIME{Symbol($mime)}, plt::Plot)
|
||||
if haskey(io, :juno_plotsize)
|
||||
showjuno(io, m, plt)
|
||||
|
||||
+2
-2
@@ -166,9 +166,9 @@ end
|
||||
function _plot!(plt::Plot, plotattributes::KW, args::Tuple)
|
||||
plotattributes[:plot_object] = plt
|
||||
|
||||
if !isempty(args) && !isdefined(Main, :StatPlots) &&
|
||||
if !isempty(args) && !isdefined(Main, :StatsPlots) &&
|
||||
first(split(string(typeof(args[1])), ".")) == "DataFrames"
|
||||
@warn("You're trying to plot a DataFrame, but this functionality is provided by StatPlots")
|
||||
@warn("You're trying to plot a DataFrame, but this functionality is provided by StatsPlots")
|
||||
end
|
||||
|
||||
# --------------------------------
|
||||
|
||||
+8
-3
@@ -18,7 +18,7 @@ end
|
||||
plotattr([attr])
|
||||
|
||||
Look up the properties of a Plots attribute, or specify an attribute type. Call `plotattr()` for options.
|
||||
The information is the same as that given on https://juliaplots.github.io/attributes/.
|
||||
The information is the same as that given on https://docs.juliaplots.org/latest/attributes/.
|
||||
"""
|
||||
function plotattr()
|
||||
println("Specify an attribute type to get a list of supported attributes. Options are $(attrtypes())")
|
||||
@@ -50,8 +50,13 @@ function plotattr(attrtype::Symbol, attribute::AbstractString)
|
||||
|
||||
desc = get(_arg_desc, attribute, "")
|
||||
first_period_idx = findfirst(isequal('.'), desc)
|
||||
typedesc = desc[1:first_period_idx-1]
|
||||
desc = strip(desc[first_period_idx+1:end])
|
||||
if isnothing(first_period_idx)
|
||||
typedesc = ""
|
||||
desc = strip(desc)
|
||||
else
|
||||
typedesc = desc[1:first_period_idx-1]
|
||||
desc = strip(desc[first_period_idx+1:end])
|
||||
end
|
||||
als = keys(filter(x->x[2]==attribute, _keyAliases)) |> collect |> sort
|
||||
als = join(map(string,als), ", ")
|
||||
def = _attribute_defaults[attrtype][attribute]
|
||||
|
||||
+69
-8
@@ -47,16 +47,47 @@ end
|
||||
num_series(x::AMat) = size(x,2)
|
||||
num_series(x) = 1
|
||||
|
||||
RecipesBase.apply_recipe(plotattributes::KW, ::Type{T}, plt::AbstractPlot) where {T} = throw(MethodError("Unmatched plot recipe: $T"))
|
||||
RecipesBase.apply_recipe(plotattributes::KW, ::Type{T}, plt::AbstractPlot) where {T} = throw(MethodError(T, "Unmatched plot recipe: $T"))
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
# for seriestype `line`, need to sort by x values
|
||||
|
||||
const POTENTIAL_VECTOR_ARGUMENTS = [
|
||||
:seriescolor, :seriesalpha,
|
||||
:linecolor, :linealpha, :linewidth, :linestyle, :line_z,
|
||||
:fillcolor, :fillalpha, :fill_z,
|
||||
:markercolor, :markeralpha, :markershape, :marker_z,
|
||||
:markerstrokecolor, :markerstrokealpha,
|
||||
:yerror, :yerror,
|
||||
:series_annotations, :fillrange
|
||||
]
|
||||
|
||||
@recipe function f(::Type{Val{:line}}, x, y, z)
|
||||
indices = sortperm(x)
|
||||
x := x[indices]
|
||||
y := y[indices]
|
||||
|
||||
# sort vector arguments
|
||||
for arg in POTENTIAL_VECTOR_ARGUMENTS
|
||||
if typeof(plotattributes[arg]) <: AVec
|
||||
plotattributes[arg] = _cycle(plotattributes[arg], indices)
|
||||
end
|
||||
end
|
||||
|
||||
# a tuple as fillrange has to be handled differently
|
||||
if typeof(plotattributes[:fillrange]) <: Tuple
|
||||
lower, upper = plotattributes[:fillrange]
|
||||
if typeof(lower) <: AVec
|
||||
lower = _cycle(lower, indices)
|
||||
end
|
||||
if typeof(upper) <: AVec
|
||||
upper = _cycle(upper, indices)
|
||||
end
|
||||
plotattributes[:fillrange] = (lower, upper)
|
||||
end
|
||||
|
||||
if typeof(z) <: AVec
|
||||
z := z[indices]
|
||||
end
|
||||
@@ -586,12 +617,12 @@ end
|
||||
end
|
||||
Plots.@deps stepbins path
|
||||
|
||||
wand_edges(x...) = (@warn("Load the StatPlots package in order to use :wand bins. Defaulting to :auto", once = true); :auto)
|
||||
wand_edges(x...) = (@warn("Load the StatsPlots package in order to use :wand bins. Defaulting to :auto", once = true); :auto)
|
||||
|
||||
function _auto_binning_nbins(vs::NTuple{N,AbstractVector}, dim::Integer; mode::Symbol = :auto) where N
|
||||
_cl(x) = ceil(Int, NaNMath.max(x, one(x)))
|
||||
_cl(x) = ceil(Int, max(x, one(x)))
|
||||
_iqr(v) = (q = quantile(v, 0.75) - quantile(v, 0.25); q > 0 ? q : oftype(q, 1))
|
||||
_span(v) = ignorenan_maximum(v) - ignorenan_minimum(v)
|
||||
_span(v) = maximum(v) - minimum(v)
|
||||
|
||||
n_samples = length(LinearIndices(first(vs)))
|
||||
|
||||
@@ -635,11 +666,19 @@ _hist_edges(vs::NTuple{N,AbstractVector}, binning::Union{Integer, Symbol, Abstra
|
||||
_hist_norm_mode(mode::Symbol) = mode
|
||||
_hist_norm_mode(mode::Bool) = mode ? :pdf : :none
|
||||
|
||||
_filternans(vs::NTuple{1,AbstractVector}) = filter!.(isfinite, vs)
|
||||
function _filternans(vs::NTuple{N,AbstractVector}) where N
|
||||
_invertedindex(v, not) = [j for (i,j) in enumerate(v) if !(i ∈ not)]
|
||||
nots = union(Set.(findall.(!isfinite, vs))...)
|
||||
_invertedindex.(vs, Ref(nots))
|
||||
end
|
||||
|
||||
function _make_hist(vs::NTuple{N,AbstractVector}, binning; normed = false, weights = nothing) where N
|
||||
edges = _hist_edges(vs, binning)
|
||||
localvs = _filternans(vs)
|
||||
edges = _hist_edges(localvs, binning)
|
||||
h = float( weights == nothing ?
|
||||
StatsBase.fit(StatsBase.Histogram, vs, edges, closed = :left) :
|
||||
StatsBase.fit(StatsBase.Histogram, vs, StatsBase.Weights(weights), edges, closed = :left)
|
||||
StatsBase.fit(StatsBase.Histogram, localvs, edges, closed = :left) :
|
||||
StatsBase.fit(StatsBase.Histogram, localvs, StatsBase.Weights(weights), edges, closed = :left)
|
||||
)
|
||||
normalize!(h, mode = _hist_norm_mode(normed))
|
||||
end
|
||||
@@ -1053,7 +1092,7 @@ end
|
||||
|
||||
# -------------------------------------------------
|
||||
|
||||
"Adds a+bx... straight line over the current plot, without changing the axis limits"
|
||||
"Adds ax+b... straight line over the current plot, without changing the axis limits"
|
||||
abline!(plt::Plot, a, b; kw...) = plot!(plt, [0, 1], [b, b+a]; seriestype = :straightline, kw...)
|
||||
|
||||
abline!(args...; kw...) = abline!(current(), args...; kw...)
|
||||
@@ -1131,3 +1170,25 @@ end
|
||||
title := string(grad.args[1])
|
||||
z
|
||||
end
|
||||
|
||||
|
||||
# Moved in from PlotRecipes - see: http://stackoverflow.com/a/37732384/5075246
|
||||
@userplot PortfolioComposition
|
||||
|
||||
# this shows the shifting composition of a basket of something over a variable
|
||||
# - "returns" are the dependent variable
|
||||
# - "weights" are a matrix where the ith column is the composition for returns[i]
|
||||
# - since each polygon is its own series, you can assign labels easily
|
||||
@recipe function f(pc::PortfolioComposition)
|
||||
weights, returns = pc.args
|
||||
n = length(returns)
|
||||
weights = cumsum(weights, dims = 2)
|
||||
seriestype := :shape
|
||||
|
||||
# create a filled polygon for each item
|
||||
for c=1:size(weights,2)
|
||||
sx = vcat(weights[:,c], c==1 ? zeros(n) : reverse(weights[:,c-1]))
|
||||
sy = vcat(returns, reverse(returns))
|
||||
@series Plots.isvertical(plotattributes) ? (sx, sy) : (sy, sx)
|
||||
end
|
||||
end
|
||||
|
||||
+28
-13
@@ -323,19 +323,26 @@ end
|
||||
|
||||
|
||||
# # images - grays
|
||||
function clamp_greys!(mat::AMat{T}) where T<:Gray
|
||||
for i in eachindex(mat)
|
||||
mat[i].val < 0 && (mat[i] = Gray(0))
|
||||
mat[i].val > 1 && (mat[i] = Gray(1))
|
||||
end
|
||||
mat
|
||||
end
|
||||
|
||||
@recipe function f(mat::AMat{T}) where T<:Gray
|
||||
n, m = size(mat)
|
||||
if is_seriestype_supported(:image)
|
||||
seriestype := :image
|
||||
yflip --> true
|
||||
SliceIt, 1:m, 1:n, Surface(mat)
|
||||
SliceIt, 1:m, 1:n, Surface(clamp_greys!(mat))
|
||||
else
|
||||
seriestype := :heatmap
|
||||
yflip --> true
|
||||
cbar --> false
|
||||
fillcolor --> ColorGradient([:black, :white])
|
||||
SliceIt, 1:m, 1:n, Surface(convert(Matrix{Float64}, mat))
|
||||
SliceIt, 1:m, 1:n, Surface(clamp!(convert(Matrix{Float64}, mat), 0., 1.))
|
||||
end
|
||||
end
|
||||
|
||||
@@ -386,8 +393,9 @@ end
|
||||
xmin, xmax = try
|
||||
axis_limits(plt[1][:xaxis])
|
||||
catch
|
||||
xm = tryrange(f, [-5,-1,0,0.01])
|
||||
xm, tryrange(f, filter(x->x>xm, [5,1,0.99, 0, -0.01]))
|
||||
xinv = invscalefunc(get(plotattributes, :xscale, :identity))
|
||||
xm = tryrange(f, xinv.([-5,-1,0,0.01]))
|
||||
xm, tryrange(f, filter(x->x>xm, xinv.([5,1,0.99, 0, -0.01])))
|
||||
end
|
||||
|
||||
f, xmin, xmax
|
||||
@@ -517,16 +525,23 @@ end
|
||||
#
|
||||
# # special handling... xmin/xmax with parametric function(s)
|
||||
@recipe function f(f::Function, xmin::Number, xmax::Number)
|
||||
xs = adapted_grid(f, (xmin, xmax))
|
||||
xscale, yscale = [get(plotattributes, sym, :identity) for sym=(:xscale,:yscale)]
|
||||
xs = _scaled_adapted_grid(f, xscale, yscale, xmin, xmax)
|
||||
xs, f
|
||||
end
|
||||
@recipe function f(fs::AbstractArray{F}, xmin::Number, xmax::Number) where F<:Function
|
||||
xs = Any[adapted_grid(f, (xmin, xmax)) for f in fs]
|
||||
xscale, yscale = [get(plotattributes, sym, :identity) for sym=(:xscale,:yscale)]
|
||||
xs = Any[_scaled_adapted_grid(f, xscale, yscale, xmin, xmax) for f in fs]
|
||||
xs, fs
|
||||
end
|
||||
@recipe f(fx::FuncOrFuncs{F}, fy::FuncOrFuncs{G}, u::AVec) where {F<:Function,G<:Function} = mapFuncOrFuncs(fx, u), mapFuncOrFuncs(fy, u)
|
||||
@recipe f(fx::FuncOrFuncs{F}, fy::FuncOrFuncs{G}, umin::Number, umax::Number, n = 200) where {F<:Function,G<:Function} = fx, fy, range(umin, stop = umax, length = n)
|
||||
|
||||
function _scaled_adapted_grid(f, xscale, yscale, xmin, xmax)
|
||||
(xf, xinv), (yf, yinv) = ((scalefunc(s),invscalefunc(s)) for s in (xscale,yscale))
|
||||
xinv.(adapted_grid(yf∘f∘xinv, xf.((xmin, xmax))))
|
||||
end
|
||||
|
||||
#
|
||||
# # special handling... 3D parametric function(s)
|
||||
@recipe function f(fx::FuncOrFuncs{F}, fy::FuncOrFuncs{G}, fz::FuncOrFuncs{H}, u::AVec) where {F<:Function,G<:Function,H<:Function}
|
||||
@@ -539,7 +554,7 @@ end
|
||||
#
|
||||
#
|
||||
# # --------------------------------------------------------------------
|
||||
# # Lists of tuples and StaticArrays
|
||||
# # Lists of tuples and GeometryTypes.Points
|
||||
# # --------------------------------------------------------------------
|
||||
#
|
||||
# # if we get an unhandled tuple, just splat it in
|
||||
@@ -561,14 +576,14 @@ end
|
||||
|
||||
|
||||
#
|
||||
# # 2D StaticArrays
|
||||
@recipe f(xy::AVec{StaticArrays.SVector{2,T}}) where {T<:Number} = unzip(xy)
|
||||
@recipe f(xy::StaticArrays.SVector{2,T}) where {T<:Number} = [xy[1]], [xy[2]]
|
||||
# # 2D Points
|
||||
@recipe f(xy::AVec{GeometryTypes.Point{2,T}}) where {T<:Number} = unzip(xy)
|
||||
@recipe f(xy::GeometryTypes.Point{2,T}) where {T<:Number} = [xy[1]], [xy[2]]
|
||||
|
||||
#
|
||||
# # 3D StaticArrays
|
||||
@recipe f(xyz::AVec{StaticArrays.SVector{3,T}}) where {T<:Number} = unzip(xyz)
|
||||
@recipe f(xyz::StaticArrays.SVector{3,T}) where {T<:Number} = [xyz[1]], [xyz[2]], [xyz[3]]
|
||||
# # 3D Points
|
||||
@recipe f(xyz::AVec{GeometryTypes.Point{3,T}}) where {T<:Number} = unzip(xyz)
|
||||
@recipe f(xyz::GeometryTypes.Point{3,T}) where {T<:Number} = [xyz[1]], [xyz[2]], [xyz[3]]
|
||||
|
||||
#
|
||||
# # --------------------------------------------------------------------
|
||||
|
||||
@@ -0,0 +1,455 @@
|
||||
"""
|
||||
scatter(x,y)
|
||||
scatter!(x,y)
|
||||
|
||||
Make a scatter plot of y vs x.
|
||||
|
||||
# Examples
|
||||
```julia-repl
|
||||
julia> scatter([1,2,3],[4,5,6],markersize=[3,4,5],markercolor=[:red,:green,:blue])
|
||||
julia> scatter([(1,4),(2,5),(3,6)])
|
||||
```
|
||||
"""
|
||||
@shorthands scatter
|
||||
|
||||
"""
|
||||
bar(x,y)
|
||||
bar!(x,y)
|
||||
|
||||
Make a bar plot of y vs x.
|
||||
|
||||
# Arguments
|
||||
|
||||
- $(_document_argument("bar_position"))
|
||||
- $(_document_argument("bar_width"))
|
||||
- $(_document_argument("bar_edges"))
|
||||
- $(_document_argument("orientation"))
|
||||
|
||||
# Examples
|
||||
```julia-repl
|
||||
julia> bar([1,2,3],[4,5,6],fillcolor=[:red,:green,:blue],fillalpha=[0.2,0.4,0.6])
|
||||
julia> bar([(1,4),(2,5),(3,6)])
|
||||
```
|
||||
"""
|
||||
@shorthands bar
|
||||
|
||||
@shorthands barh
|
||||
|
||||
"""
|
||||
histogram(x)
|
||||
histogram!(x)
|
||||
|
||||
Plot a histogram.
|
||||
|
||||
# Arguments
|
||||
|
||||
- `x`: AbstractVector of values to be binned
|
||||
- $(_document_argument("bins"))
|
||||
- `weights`: Vector of weights for the values in `x`, for weighted bin counts
|
||||
- $(_document_argument("normalize"))
|
||||
- $(_document_argument("bar_position"))
|
||||
- $(_document_argument("bar_width"))
|
||||
- $(_document_argument("bar_edges"))
|
||||
- $(_document_argument("orientation"))
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> histogram([1,2,1,1,4,3,8],bins=0:8)
|
||||
```
|
||||
"""
|
||||
@shorthands histogram
|
||||
|
||||
"""
|
||||
barhist(x)
|
||||
barhist!(x)
|
||||
|
||||
Make a histogram bar plot. See `histogram`.
|
||||
"""
|
||||
@shorthands barhist
|
||||
|
||||
"""
|
||||
stephist(x)
|
||||
stephist(x)
|
||||
|
||||
Make a histogram step plot (bin counts are represented using horizontal lines
|
||||
instead of bars). See `histogram`.
|
||||
"""
|
||||
@shorthands stephist
|
||||
|
||||
"""
|
||||
scatterhist(x)
|
||||
scatterhist!(x)
|
||||
|
||||
Make a histogram scatter plot (bin counts are represented using points
|
||||
instead of bars). See `histogram`.
|
||||
"""
|
||||
@shorthands scatterhist
|
||||
|
||||
"""
|
||||
histogram2d(x,y)
|
||||
histogram2d!(x,y)
|
||||
|
||||
Plot a two-dimensional histogram.
|
||||
|
||||
# Arguments
|
||||
|
||||
- `bins`: Number of bins (if an `Integer`) or bin edges (if an `AbtractVector`)
|
||||
- `weights`: Vector of weights for the values in `x`. Each entry of x contributes
|
||||
its weight to the height of its bin.
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> histogram2d(randn(10_000),randn(10_000))
|
||||
```
|
||||
"""
|
||||
@shorthands histogram2d
|
||||
|
||||
"""
|
||||
density(x)
|
||||
density!(x)
|
||||
|
||||
Make a line plot of a kernel density estimate of x.
|
||||
|
||||
# Arguments
|
||||
|
||||
- `x`: AbstractVector of samples for probability density estimation
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> using StatsPlots
|
||||
julia> density(randn(100_000))
|
||||
```
|
||||
"""
|
||||
@shorthands density
|
||||
|
||||
"""
|
||||
heatmap(x,y,z)
|
||||
heatmap!(x,y,z)
|
||||
|
||||
Plot a heatmap of the rectangular array `z`.
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> heatmap(randn(10,10))
|
||||
```
|
||||
"""
|
||||
@shorthands heatmap
|
||||
@shorthands plots_heatmap
|
||||
|
||||
"""
|
||||
hexbin(x,y)
|
||||
hexbin!(x,y)
|
||||
|
||||
Make a hexagonal binning plot (a histogram of the observations `(x[i],y[i])`
|
||||
with hexagonal bins)
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> hexbin(randn(10_000), randn(10_000))
|
||||
```
|
||||
"""
|
||||
@shorthands hexbin
|
||||
|
||||
"""
|
||||
sticks(x,y)
|
||||
sticks!(x,y)
|
||||
|
||||
Draw a stick plot of y vs x.
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> sticks(1:10)
|
||||
```
|
||||
"""
|
||||
@shorthands sticks
|
||||
|
||||
"""
|
||||
hline(y)
|
||||
hline!(y)
|
||||
|
||||
Draw horizontal lines at positions specified by the values in
|
||||
the AbstractVector `y`
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> hline([-1,0,2])
|
||||
```
|
||||
"""
|
||||
@shorthands hline
|
||||
|
||||
"""
|
||||
vline(x)
|
||||
vline!(x)
|
||||
|
||||
Draw vertical lines at positions specified by the values in
|
||||
the AbstractVector `x`
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> vline([-1,0,2])
|
||||
```
|
||||
"""
|
||||
@shorthands vline
|
||||
|
||||
"""
|
||||
hspan(y)
|
||||
|
||||
Draw a rectangle between the horizontal line at position `y[1]`
|
||||
and the horizontal line at position `y[2]`. If `length(y) ≥ 4`,
|
||||
then further rectangles are drawn between `y[3]` and `y[4]`,
|
||||
`y[5]` and `y[6]`, and so on. If `length(y)` is odd, then the
|
||||
last entry of `y` is ignored.
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> hspan(1:6)
|
||||
```
|
||||
"""
|
||||
@shorthands hspan
|
||||
|
||||
"""
|
||||
vspan(x)
|
||||
|
||||
Draw a rectangle between the vertical line at position `x[1]`
|
||||
and the vertical line at position `x[2]`. If `length(x) ≥ 4`,
|
||||
then further rectangles are drawn between `x[3]` and `x[4]`,
|
||||
`x[5]` and `x[6]`, and so on. If `length(x)` is odd, then the
|
||||
last entry of `x` is ignored.
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> vspan(1:6)
|
||||
```
|
||||
"""
|
||||
@shorthands vspan
|
||||
|
||||
"""
|
||||
ohlc(x,y::Vector{OHLC})
|
||||
ohlc!(x,y::Vector{OHLC})
|
||||
|
||||
Make open-high-low-close plot. Each entry of y is represented by a vertical
|
||||
segment extending from the low value to the high value, with short horizontal
|
||||
segments on the left and right indicating the open and close values, respectively.
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> meanprices = cumsum(randn(100))
|
||||
julia> y = OHLC[(p+rand(),p+1,p-1,p+rand()) for p in meanprices]
|
||||
julia> ohlc(y)
|
||||
```
|
||||
"""
|
||||
@shorthands ohlc
|
||||
|
||||
|
||||
"""
|
||||
contour(x,y,z)
|
||||
contour!(x,y,z)
|
||||
|
||||
Draw contour lines of the `Surface` z.
|
||||
|
||||
# Arguments
|
||||
- `levels`: Contour levels (if `AbstractVector`) or number of levels (if `Integer`)
|
||||
- `fill`: Bool. Fill area between contours or draw contours only (false by default)
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> x = y = range(-20, 20, length = 100)
|
||||
julia> contour(x, y, (x, y) -> x^2 + y^2)
|
||||
```
|
||||
"""
|
||||
@shorthands contour
|
||||
|
||||
"An alias for `contour` with fill = true."
|
||||
@shorthands contourf
|
||||
|
||||
|
||||
@shorthands contour3d
|
||||
|
||||
"""
|
||||
surface(x,y,z)
|
||||
surface!(x,y,z)
|
||||
|
||||
Draw a 3D surface plot.
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> x = y = range(-3, 3, length = 100)
|
||||
julia> surface(x, y, (x, y) -> sinc(norm([x, y])))
|
||||
```
|
||||
"""
|
||||
@shorthands surface
|
||||
|
||||
"""
|
||||
wireframe(x,y,z)
|
||||
wireframe!(x,y,z)
|
||||
|
||||
Draw a 3D wireframe plot.
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> wireframe(1:10,1:10,randn(10,10))
|
||||
```
|
||||
"""
|
||||
@shorthands wireframe
|
||||
|
||||
"""
|
||||
path3d(x,y,z)
|
||||
path3d!(x,y,z)
|
||||
|
||||
Plot a 3D path from `(x[1],y[1],z[1])` to `(x[2],y[2],z[2])`,
|
||||
..., to `(x[end],y[end],z[end])`.
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> path3d([0,1,2,3],[0,1,4,9],[0,1,8,27])
|
||||
```
|
||||
"""
|
||||
@shorthands path3d
|
||||
|
||||
"""
|
||||
scatter3d(x,y,z)
|
||||
scatter3d!(x,y,z)
|
||||
|
||||
Make a 3D scatter plot.
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> scatter3d([0,1,2,3],[0,1,4,9],[0,1,8,27])
|
||||
```
|
||||
"""
|
||||
@shorthands scatter3d
|
||||
|
||||
"""
|
||||
boxplot(x, y)
|
||||
boxplot!(x, y)
|
||||
|
||||
Make a box and whisker plot.
|
||||
|
||||
# Keyword arguments
|
||||
- `notch`: Bool. Notch the box plot? (false)
|
||||
- `range`: Real. Values more than range*IQR below the first quartile
|
||||
or above the third quartile are shown as outliers (1.5)
|
||||
- `outliers`: Bool. Show outliers? (true)
|
||||
- `whisker_width`: Real or Symbol. Length of whiskers (:match)
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> using StatsPlots
|
||||
julia> boxplot(repeat([1,2,3],outer=100),randn(300))
|
||||
```
|
||||
"""
|
||||
@shorthands boxplot
|
||||
|
||||
"""
|
||||
violin(x,y,z)
|
||||
violin!(x,y,z)
|
||||
|
||||
Make a violin plot.
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> violin(repeat([1,2,3],outer=100),randn(300))
|
||||
```
|
||||
"""
|
||||
@shorthands violin
|
||||
|
||||
"""
|
||||
quiver(x,y,quiver=(u,v))
|
||||
quiver!(x,y,quiver=(u,v))
|
||||
|
||||
Make a quiver (vector field) plot. The `i`th vector extends
|
||||
from `(x[i],y[i])` to `(x[i] + u[i], y[i] + v[i])`.
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> quiver([1,2,3],[3,2,1],quiver=([1,1,1],[1,2,3]))
|
||||
```
|
||||
"""
|
||||
@shorthands quiver
|
||||
|
||||
"""
|
||||
curves(x,y)
|
||||
curves!(x,y)
|
||||
|
||||
Draw a Bezier curve from `(x[1],y[1])` to `(x[end],y[end])`
|
||||
with control points `(x[2],y[2]), ..., (x[end-1],y[end]-1)`
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> curves([1,2,3,4],[1,1,2,4])
|
||||
```
|
||||
"""
|
||||
@shorthands curves
|
||||
|
||||
"Plot a pie diagram"
|
||||
pie(args...; kw...) = plot(args...; kw..., seriestype = :pie, aspect_ratio = :equal, grid=false, xticks=nothing, yticks=nothing)
|
||||
pie!(args...; kw...) = plot!(args...; kw..., seriestype = :pie, aspect_ratio = :equal, grid=false, xticks=nothing, yticks=nothing)
|
||||
|
||||
"Plot with seriestype :path3d"
|
||||
plot3d(args...; kw...) = plot(args...; kw..., seriestype = :path3d)
|
||||
plot3d!(args...; kw...) = plot!(args...; kw..., seriestype = :path3d)
|
||||
|
||||
"Add title to an existing plot"
|
||||
title!(s::AbstractString; kw...) = plot!(; title = s, kw...)
|
||||
|
||||
"Add xlabel to an existing plot"
|
||||
xlabel!(s::AbstractString; kw...) = plot!(; xlabel = s, kw...)
|
||||
|
||||
"Add ylabel to an existing plot"
|
||||
ylabel!(s::AbstractString; kw...) = plot!(; ylabel = s, kw...)
|
||||
|
||||
"Set xlims for an existing plot"
|
||||
xlims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; xlims = lims, kw...)
|
||||
|
||||
"Set ylims for an existing plot"
|
||||
ylims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; ylims = lims, kw...)
|
||||
|
||||
"Set zlims for an existing plot"
|
||||
zlims!(lims::Tuple{T,S}; kw...) where {T<:Real,S<:Real} = plot!(; zlims = lims, kw...)
|
||||
|
||||
xlims!(xmin::Real, xmax::Real; kw...) = plot!(; xlims = (xmin,xmax), kw...)
|
||||
ylims!(ymin::Real, ymax::Real; kw...) = plot!(; ylims = (ymin,ymax), kw...)
|
||||
zlims!(zmin::Real, zmax::Real; kw...) = plot!(; zlims = (zmin,zmax), kw...)
|
||||
|
||||
|
||||
"Set xticks for an existing plot"
|
||||
xticks!(v::TicksArgs; kw...) where {T<:Real} = plot!(; xticks = v, kw...)
|
||||
|
||||
"Set yticks for an existing plot"
|
||||
yticks!(v::TicksArgs; kw...) where {T<:Real} = plot!(; yticks = v, kw...)
|
||||
|
||||
xticks!(
|
||||
ticks::AVec{T}, labels::AVec{S}; kw...) where {T<:Real,S<:AbstractString} = plot!(; xticks = (ticks,labels), kw...)
|
||||
yticks!(
|
||||
ticks::AVec{T}, labels::AVec{S}; kw...) where {T<:Real,S<:AbstractString} = plot!(; yticks = (ticks,labels), kw...)
|
||||
|
||||
"""
|
||||
annotate!(anns...)
|
||||
|
||||
Add annotations to an existing plot.
|
||||
|
||||
# Arguments
|
||||
|
||||
- `anns`: An `AbstractVector` of tuples of the form (x,y,text). The text object
|
||||
can be an String or PlotText
|
||||
|
||||
# Example
|
||||
```julia-repl
|
||||
julia> plot(1:10)
|
||||
julia> annotate!([(7,3,"(7,3)"),(3,7,text("hey", 14, :left, :top, :green))])
|
||||
```
|
||||
"""
|
||||
annotate!(anns...; kw...) = plot!(; annotation = anns, kw...)
|
||||
annotate!(anns::AVec{T}; kw...) where {T<:Tuple} = plot!(; annotation = anns, kw...)
|
||||
|
||||
"Flip the current plots' x axis"
|
||||
xflip!(flip::Bool = true; kw...) = plot!(; xflip = flip, kw...)
|
||||
|
||||
"Flip the current plots' y axis"
|
||||
yflip!(flip::Bool = true; kw...) = plot!(; yflip = flip, kw...)
|
||||
|
||||
"Specify x axis attributes for an existing plot"
|
||||
xaxis!(args...; kw...) = plot!(; xaxis = args, kw...)
|
||||
|
||||
"Specify y axis attributes for an existing plot"
|
||||
yaxis!(args...; kw...) = plot!(; yaxis = args, kw...)
|
||||
xgrid!(args...; kw...) = plot!(; xgrid = args, kw...)
|
||||
ygrid!(args...; kw...) = plot!(; ygrid = args, kw...)
|
||||
+1
-1
@@ -100,7 +100,7 @@ _get_showtheme_args(thm::Symbol, func::Symbol) = thm, get(_color_functions, func
|
||||
end
|
||||
end
|
||||
|
||||
srand(1)
|
||||
Random.seed!(1)
|
||||
|
||||
label := ""
|
||||
colorbar := false
|
||||
|
||||
+97
-66
@@ -194,7 +194,9 @@ end
|
||||
|
||||
function iter_segments(series::Series)
|
||||
x, y, z = series[:x], series[:y], series[:z]
|
||||
if has_attribute_segments(series)
|
||||
if x == nothing
|
||||
return UnitRange{Int}[]
|
||||
elseif has_attribute_segments(series)
|
||||
if series[:seriestype] in (:scatter, :scatter3d)
|
||||
return [[i] for i in 1:length(y)]
|
||||
else
|
||||
@@ -273,6 +275,9 @@ _cycle(v, indices::AVec{Int}) = fill(v, length(indices))
|
||||
_cycle(grad::ColorGradient, idx::Int) = _cycle(grad.colors, idx)
|
||||
_cycle(grad::ColorGradient, indices::AVec{Int}) = _cycle(grad.colors, indices)
|
||||
|
||||
_as_gradient(grad::ColorGradient) = grad
|
||||
_as_gradient(c::Colorant) = ColorGradient([c,c])
|
||||
|
||||
makevec(v::AVec) = v
|
||||
makevec(v::T) where {T} = T[v]
|
||||
|
||||
@@ -287,14 +292,14 @@ unzip(xy::AVec{Tuple{X,Y}}) where {X,Y} = [t[1] for t in xy], [t[2]
|
||||
unzip(xyz::AVec{Tuple{X,Y,Z}}) where {X,Y,Z} = [t[1] for t in xyz], [t[2] for t in xyz], [t[3] for t in xyz]
|
||||
unzip(xyuv::AVec{Tuple{X,Y,U,V}}) where {X,Y,U,V} = [t[1] for t in xyuv], [t[2] for t in xyuv], [t[3] for t in xyuv], [t[4] for t in xyuv]
|
||||
|
||||
unzip(xy::AVec{StaticArrays.SVector{2,T}}) where {T} = T[t[1] for t in xy], T[t[2] for t in xy]
|
||||
unzip(xy::StaticArrays.SVector{2,T}) where {T} = T[xy[1]], T[xy[2]]
|
||||
unzip(xy::AVec{GeometryTypes.Point{2,T}}) where {T} = T[t[1] for t in xy], T[t[2] for t in xy]
|
||||
unzip(xy::GeometryTypes.Point{2,T}) where {T} = T[xy[1]], T[xy[2]]
|
||||
|
||||
unzip(xyz::AVec{StaticArrays.SVector{3,T}}) where {T} = T[t[1] for t in xyz], T[t[2] for t in xyz], T[t[3] for t in xyz]
|
||||
unzip(xyz::StaticArrays.SVector{3,T}) where {T} = T[xyz[1]], T[xyz[2]], T[xyz[3]]
|
||||
unzip(xyz::AVec{GeometryTypes.Point{3,T}}) where {T} = T[t[1] for t in xyz], T[t[2] for t in xyz], T[t[3] for t in xyz]
|
||||
unzip(xyz::GeometryTypes.Point{3,T}) where {T} = T[xyz[1]], T[xyz[2]], T[xyz[3]]
|
||||
|
||||
unzip(xyuv::AVec{StaticArrays.SVector{4,T}}) where {T} = T[t[1] for t in xyuv], T[t[2] for t in xyuv], T[t[3] for t in xyuv], T[t[4] for t in xyuv]
|
||||
unzip(xyuv::StaticArrays.SVector{4,T}) where {T} = T[xyuv[1]], T[xyuv[2]], T[xyuv[3]], T[xyuv[4]]
|
||||
unzip(xyuv::AVec{GeometryTypes.Point{4,T}}) where {T} = T[t[1] for t in xyuv], T[t[2] for t in xyuv], T[t[3] for t in xyuv], T[t[4] for t in xyuv]
|
||||
unzip(xyuv::GeometryTypes.Point{4,T}) where {T} = T[xyuv[1]], T[xyuv[2]], T[xyuv[3]], T[xyuv[4]]
|
||||
|
||||
# given 2-element lims and a vector of data x, widen lims to account for the extrema of x
|
||||
function _expand_limits(lims, x)
|
||||
@@ -357,6 +362,7 @@ const _scale_base = Dict{Symbol, Real}(
|
||||
)
|
||||
|
||||
function _heatmap_edges(v::AVec)
|
||||
length(v) == 1 && return v[1] .+ [-0.5, 0.5]
|
||||
vmin, vmax = ignorenan_extrema(v)
|
||||
extra_min = (v[2] - v[1]) / 2
|
||||
extra_max = (v[end] - v[end - 1]) / 2
|
||||
@@ -369,38 +375,14 @@ function heatmap_edges(v::AVec, scale::Symbol = :identity)
|
||||
map(invf, _heatmap_edges(map(f,v)))
|
||||
end
|
||||
|
||||
function calc_r_extrema(x, y)
|
||||
xmin, xmax = ignorenan_extrema(x)
|
||||
ymin, ymax = ignorenan_extrema(y)
|
||||
r = 0.5 * NaNMath.min(xmax - xmin, ymax - ymin)
|
||||
ignorenan_extrema(r)
|
||||
end
|
||||
|
||||
function convert_to_polar(x, y, r_extrema = calc_r_extrema(x, y))
|
||||
function convert_to_polar(theta, r, r_extrema = ignorenan_extrema(r))
|
||||
rmin, rmax = r_extrema
|
||||
theta, r = filter_radial_data(x, y, r_extrema)
|
||||
r = (r .- rmin) ./ (rmax .- rmin)
|
||||
x = r.*cos.(theta)
|
||||
y = r.*sin.(theta)
|
||||
x, y
|
||||
end
|
||||
|
||||
# Filters radial data for points within the axis limits
|
||||
function filter_radial_data(theta, r, r_extrema::Tuple{Real, Real})
|
||||
n = max(length(theta), length(r))
|
||||
rmin, rmax = r_extrema
|
||||
x, y = zeros(n), zeros(n)
|
||||
for i in 1:n
|
||||
x[i] = _cycle(theta, i)
|
||||
y[i] = _cycle(r, i)
|
||||
end
|
||||
points = map((a, b) -> (a, b), x, y)
|
||||
filter!(a -> a[2] >= rmin && a[2] <= rmax, points)
|
||||
x = map(a -> a[1], points)
|
||||
y = map(a -> a[2], points)
|
||||
x, y
|
||||
end
|
||||
|
||||
function fakedata(sz...)
|
||||
y = zeros(sz...)
|
||||
for r in 2:size(y,1)
|
||||
@@ -430,7 +412,7 @@ isvertical(series::Series) = isvertical(series.plotattributes)
|
||||
|
||||
ticksType(ticks::AVec{T}) where {T<:Real} = :ticks
|
||||
ticksType(ticks::AVec{T}) where {T<:AbstractString} = :labels
|
||||
ticksType(ticks::Tuple{T,S}) where {T<:AVec,S<:AVec} = :ticks_and_labels
|
||||
ticksType(ticks::Tuple{T,S}) where {T<:Union{AVec,Tuple},S<:Union{AVec,Tuple}} = :ticks_and_labels
|
||||
ticksType(ticks) = :invalid
|
||||
|
||||
limsType(lims::Tuple{T,S}) where {T<:Real,S<:Real} = :limits
|
||||
@@ -580,35 +562,50 @@ end
|
||||
|
||||
_update_clims(zmin, zmax, emin, emax) = min(zmin, emin), max(zmax, emax)
|
||||
|
||||
function hascolorbar(series::Series)
|
||||
st = series[:seriestype]
|
||||
hascbar = st == :heatmap
|
||||
if st == :contour
|
||||
hascbar = (isscalar(series[:levels]) ? (series[:levels] > 1) : (length(series[:levels]) > 1)) && (length(unique(Array(series[:z]))) > 1)
|
||||
@enum ColorbarStyle cbar_gradient cbar_fill cbar_lines
|
||||
|
||||
function colorbar_style(series::Series)
|
||||
colorbar_entry = series[:colorbar_entry]
|
||||
if !(colorbar_entry isa Bool)
|
||||
@warn "Non-boolean colorbar_entry ignored."
|
||||
colorbar_entry = true
|
||||
end
|
||||
if series[:marker_z] != nothing || series[:line_z] != nothing || series[:fill_z] != nothing
|
||||
hascbar = true
|
||||
|
||||
if !colorbar_entry
|
||||
nothing
|
||||
elseif isfilledcontour(series)
|
||||
cbar_fill
|
||||
elseif iscontour(series)
|
||||
cbar_lines
|
||||
elseif series[:seriestype] ∈ (:heatmap,:surface) ||
|
||||
any(series[z] !== nothing for z ∈ [:marker_z,:line_z,:fill_z])
|
||||
cbar_gradient
|
||||
else
|
||||
nothing
|
||||
end
|
||||
# no colorbar if we are creating a surface LightSource
|
||||
if xor(st == :surface, series[:fill_z] != nothing)
|
||||
hascbar = true
|
||||
end
|
||||
return hascbar
|
||||
end
|
||||
|
||||
function hascolorbar(sp::Subplot)
|
||||
cbar = sp[:colorbar]
|
||||
hascbar = false
|
||||
if cbar != :none
|
||||
for series in series_list(sp)
|
||||
if hascolorbar(series)
|
||||
hascbar = true
|
||||
end
|
||||
hascolorbar(series::Series) = colorbar_style(series) !== nothing
|
||||
hascolorbar(sp::Subplot) = sp[:colorbar] != :none && any(hascolorbar(s) for s in series_list(sp))
|
||||
|
||||
iscontour(series::Series) = series[:seriestype] == :contour
|
||||
isfilledcontour(series::Series) = iscontour(series) && series[:fillrange] !== nothing
|
||||
|
||||
function contour_levels(series::Series, clims)
|
||||
iscontour(series) || error("Not a contour series")
|
||||
zmin, zmax = clims
|
||||
levels = series[:levels]
|
||||
if levels isa Integer
|
||||
levels = range(zmin, stop=zmax, length=levels+2)
|
||||
if !isfilledcontour(series)
|
||||
levels = levels[2:end-1]
|
||||
end
|
||||
end
|
||||
hascbar
|
||||
levels
|
||||
end
|
||||
|
||||
|
||||
|
||||
for comp in (:line, :fill, :marker)
|
||||
|
||||
compcolor = string(comp, :color)
|
||||
@@ -725,7 +722,7 @@ function with(f::Function, args...; kw...)
|
||||
|
||||
# save the backend
|
||||
if CURRENT_BACKEND.sym == :none
|
||||
pickDefaultBackend()
|
||||
_pick_default_backend()
|
||||
end
|
||||
oldbackend = CURRENT_BACKEND.sym
|
||||
|
||||
@@ -737,7 +734,7 @@ 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
|
||||
@@ -795,24 +792,24 @@ function debugplots(on = true)
|
||||
_debugMode.on = on
|
||||
end
|
||||
|
||||
debugshow(x) = show(x)
|
||||
debugshow(x::AbstractArray) = print(summary(x))
|
||||
debugshow(io, x) = show(io, x)
|
||||
debugshow(io, x::AbstractArray) = print(io, summary(x))
|
||||
|
||||
function dumpdict(plotattributes::KW, prefix = "", alwaysshow = false)
|
||||
function dumpdict(io::IO, plotattributes::KW, prefix = "", alwaysshow = false)
|
||||
_debugMode.on || alwaysshow || return
|
||||
println()
|
||||
println(io)
|
||||
if prefix != ""
|
||||
println(prefix, ":")
|
||||
println(io, prefix, ":")
|
||||
end
|
||||
for k in sort(collect(keys(plotattributes)))
|
||||
@printf("%14s: ", k)
|
||||
debugshow(plotattributes[k])
|
||||
println()
|
||||
debugshow(io, plotattributes[k])
|
||||
println(io)
|
||||
end
|
||||
println()
|
||||
println(io)
|
||||
end
|
||||
DD(plotattributes::KW, prefix = "") = dumpdict(plotattributes, prefix, true)
|
||||
|
||||
DD(io::IO, plotattributes::KW, prefix = "") = dumpdict(io, plotattributes, prefix, true)
|
||||
DD(plotattributes::KW, prefix = "") = DD(stdout, plotattributes, prefix)
|
||||
|
||||
function dumpcallstack()
|
||||
error() # well... you wanted the stacktrace, didn't you?!?
|
||||
@@ -1198,3 +1195,37 @@ end
|
||||
function construct_categorical_data(x::AbstractArray, axis::Axis)
|
||||
map(xi -> axis[:discrete_values][searchsortedfirst(axis[:continuous_values], xi)], x)
|
||||
end
|
||||
|
||||
_fmt_paragraph(paragraph::AbstractString;kwargs...) = _fmt_paragraph(IOBuffer(),paragraph,0;kwargs...)
|
||||
|
||||
function _fmt_paragraph(io::IOBuffer,
|
||||
remaining_text::AbstractString,
|
||||
column_count::Integer;
|
||||
fillwidth=60,
|
||||
leadingspaces=0)
|
||||
|
||||
kwargs = (fillwidth = fillwidth, leadingspaces = leadingspaces)
|
||||
|
||||
m = match(r"(.*?) (.*)",remaining_text)
|
||||
if isa(m,Nothing)
|
||||
if column_count + length(remaining_text) ≤ fillwidth
|
||||
print(io,remaining_text)
|
||||
String(take!(io))
|
||||
else
|
||||
print(io,"\n"*" "^leadingspaces*remaining_text)
|
||||
String(take!(io))
|
||||
end
|
||||
else
|
||||
if column_count + length(m[1]) ≤ fillwidth
|
||||
print(io,"$(m[1]) ")
|
||||
_fmt_paragraph(io,m[2],column_count + length(m[1]) + 1;kwargs...)
|
||||
else
|
||||
print(io,"\n"*" "^leadingspaces*"$(m[1]) ")
|
||||
_fmt_paragraph(io,m[2],leadingspaces;kwargs...)
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
function _document_argument(S::AbstractString)
|
||||
_fmt_paragraph("`$S`: "*_arg_desc[Symbol(S)],leadingspaces = 6 + length(S))
|
||||
end
|
||||
|
||||
@@ -0,0 +1 @@
|
||||
reference_images
|
||||
@@ -1,10 +0,0 @@
|
||||
StatPlots
|
||||
Images
|
||||
ImageMagick
|
||||
@osx QuartzImageIO
|
||||
FileIO
|
||||
GR 0.31.0
|
||||
RDatasets
|
||||
VisualRegressionTests
|
||||
UnicodePlots
|
||||
LaTeXStrings
|
||||
@@ -1,46 +0,0 @@
|
||||
using Pkg
|
||||
|
||||
# need this to use Conda
|
||||
# ENV["PYTHON"] = ""
|
||||
|
||||
to_add = [
|
||||
# PackageSpec(url="https://github.com/JuliaStats/KernelDensity.jl.git"),
|
||||
PackageSpec(name="PlotUtils", rev="master"),
|
||||
PackageSpec(name="RecipesBase", rev="master"),
|
||||
# PackageSpec(name="Blink", rev="master"),
|
||||
# PackageSpec(name="Rsvg", rev="master"),
|
||||
# PackageSpec(name="PlotlyJS", rev="master"),
|
||||
# PackageSpec(name="VisualRegressionTests", rev="master"),
|
||||
# PackageSpec("PyPlot"),
|
||||
# PackageSpec("InspectDR"),
|
||||
]
|
||||
|
||||
if isinteractive()
|
||||
Pkg.develop(PackageSpec(url="https://github.com/JuliaPlots/PlotReferenceImages.jl.git"))
|
||||
append!(to_add, [
|
||||
PackageSpec(name="FileIO"),
|
||||
PackageSpec(name="ImageMagick"),
|
||||
PackageSpec(name="UnicodePlots"),
|
||||
PackageSpec(name="VisualRegressionTests"),
|
||||
PackageSpec(name="Gtk"),
|
||||
# PlotlyJS:
|
||||
# PackageSpec(name="PlotlyJS"),
|
||||
# PackageSpec(name="Blink"),
|
||||
# PackageSpec(name="ORCA"),
|
||||
# PyPlot:
|
||||
# PackageSpec(name="PyPlot"),
|
||||
# PackageSpec(name="PyCall"),
|
||||
# PackageSpec(name="LaTeXStrings"),
|
||||
])
|
||||
else
|
||||
push!(to_add, PackageSpec(url="https://github.com/JuliaPlots/PlotReferenceImages.jl.git"))
|
||||
end
|
||||
|
||||
Pkg.add(to_add)
|
||||
|
||||
Pkg.build("ImageMagick")
|
||||
# Pkg.build("GR")
|
||||
# Pkg.build("Blink")
|
||||
# import Blink
|
||||
# Blink.AtomShell.install()
|
||||
# Pkg.build("PyPlot")
|
||||
+33
-35
@@ -1,50 +1,46 @@
|
||||
|
||||
using VisualRegressionTests
|
||||
# using ExamplePlots
|
||||
|
||||
if isinteractive()
|
||||
@eval Main import Gtk
|
||||
end
|
||||
|
||||
# import DataFrames, RDatasets
|
||||
|
||||
# don't let pyplot use a gui... it'll crash
|
||||
# note: Agg will set gui -> :none in PyPlot
|
||||
# ENV["MPLBACKEND"] = "Agg"
|
||||
# try
|
||||
# @eval import PyPlot
|
||||
# @info("Matplotlib version: $(PyPlot.matplotlib[:__version__])")
|
||||
# end
|
||||
|
||||
|
||||
using Plots
|
||||
# using StatPlots
|
||||
import PlotReferenceImages
|
||||
using Random
|
||||
using Test
|
||||
|
||||
default(size=(500,300))
|
||||
|
||||
|
||||
# TODO: use julia's Condition type and the wait() and notify() functions to initialize a Window, then wait() on a condition that
|
||||
# is referenced in a button press callback (the button clicked callback will call notify() on that condition)
|
||||
|
||||
import Plots._current_plots_version
|
||||
|
||||
# Taken from MakieGallery
|
||||
"""
|
||||
Downloads the reference images from ReferenceImages for a specific version
|
||||
"""
|
||||
function download_reference(version = v"0.0.1")
|
||||
download_dir = abspath(@__DIR__, "reference_images")
|
||||
isdir(download_dir) || mkpath(download_dir)
|
||||
tarfile = joinpath(download_dir, "reference_images.zip")
|
||||
url = "https://github.com/JuliaPlots/PlotReferenceImages.jl/archive/v$(version).tar.gz"
|
||||
refpath = joinpath(download_dir, "PlotReferenceImages.jl-$(version)")
|
||||
if !isdir(refpath) # if not yet downloaded
|
||||
@info "downloading reference images for version $version"
|
||||
download(url, tarfile)
|
||||
BinaryProvider.unpack(tarfile, download_dir)
|
||||
# check again after download
|
||||
if !isdir(refpath)
|
||||
error("Something went wrong while downloading reference images. Plots can't be compared to references")
|
||||
else
|
||||
rm(tarfile, force = true)
|
||||
end
|
||||
else
|
||||
@info "using reference images for version $version (already downloaded)"
|
||||
end
|
||||
refpath
|
||||
end
|
||||
|
||||
const ref_image_dir = download_reference()
|
||||
|
||||
function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = isinteractive(), sigma = [1,1], tol = 1e-2)
|
||||
Plots._debugMode.on = debug
|
||||
example = Plots._examples[idx]
|
||||
Plots.theme(:default)
|
||||
@info("Testing plot: $pkg:$idx:$(example.header)")
|
||||
backend(pkg)
|
||||
backend()
|
||||
|
||||
default(size=(500,300))
|
||||
# ensure consistent results
|
||||
Random.seed!(1234)
|
||||
|
||||
# reference image directory setup
|
||||
# refdir = joinpath(Pkg.dir("ExamplePlots"), "test", "refimg", string(pkg))
|
||||
refdir = joinpath(dirname(pathof(PlotReferenceImages)), "..", "Plots", string(pkg))
|
||||
refdir = joinpath(ref_image_dir, "Plots", string(pkg))
|
||||
fn = "ref$idx.png"
|
||||
|
||||
# firgure out version info
|
||||
@@ -76,7 +72,9 @@ function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = is
|
||||
|
||||
# test function
|
||||
func = (fn, idx) -> begin
|
||||
map(eval, example.exprs)
|
||||
expr = Expr(:block)
|
||||
append!(expr.args, example.exprs)
|
||||
eval(expr)
|
||||
png(fn)
|
||||
end
|
||||
|
||||
|
||||
+12
-138
@@ -1,8 +1,11 @@
|
||||
module PlotsTests
|
||||
using VisualRegressionTests
|
||||
using Plots
|
||||
using Random
|
||||
using BinaryProvider
|
||||
using Test
|
||||
using FileIO
|
||||
|
||||
include("add_packages.jl")
|
||||
include("imgcomp.jl")
|
||||
|
||||
# don't actually show the plots
|
||||
Random.seed!(1234)
|
||||
default(show=false, reuse=true)
|
||||
@@ -19,108 +22,20 @@ img_tol = isinteractive() ? 1e-2 : 10e-2
|
||||
end
|
||||
end
|
||||
|
||||
# @static if isinteractive()
|
||||
# @testset "PyPlot" begin
|
||||
# @test pyplot() == Plots.PyPlotBackend()
|
||||
# @test backend() == Plots.PyPlotBackend()
|
||||
#
|
||||
# image_comparison_facts(:pyplot, tol=img_tol, skip = [2, 25, 30, 31])
|
||||
# end
|
||||
# end
|
||||
|
||||
@testset "UnicodePlots" begin
|
||||
@test unicodeplots() == Plots.UnicodePlotsBackend()
|
||||
@test backend() == Plots.UnicodePlotsBackend()
|
||||
|
||||
# lets just make sure it runs without error
|
||||
@test isa(plot(rand(10)), Plots.Plot) == true
|
||||
p = plot(rand(10))
|
||||
@test isa(p, Plots.Plot) == true
|
||||
@test isa(display(p), Nothing) == true
|
||||
p = bar(randn(10))
|
||||
@test isa(p, Plots.Plot) == true
|
||||
@test isa(display(p), Nothing) == true
|
||||
end
|
||||
|
||||
# The plotlyjs testimages return a connection error on travis:
|
||||
# connect: connection refused (ECONNREFUSED)
|
||||
|
||||
# @static if isinteractive()
|
||||
# @testset "PlotlyJS" begin
|
||||
# @test plotlyjs() == Plots.PlotlyJSBackend()
|
||||
# @test backend() == Plots.PlotlyJSBackend()
|
||||
#
|
||||
# image_comparison_facts(:plotlyjs,
|
||||
# skip=[
|
||||
# 2, # animation (skipped for speed)
|
||||
# 25,
|
||||
# 27, # (polar plots) takes very long / not working
|
||||
# 30,
|
||||
# 31, # animation (skipped for speed)
|
||||
# ],
|
||||
# tol=img_tol)
|
||||
# end
|
||||
# end
|
||||
|
||||
# InspectDR returns that error on travis:
|
||||
# ERROR: LoadError: InitError: Cannot open display:
|
||||
# in Gtk.GLib.GError(::Gtk.##229#230) at /home/travis/.julia/v0.5/Gtk/src/GLib/gerror.jl:17
|
||||
|
||||
# @testset "InspectDR" begin
|
||||
# @test inspectdr() == Plots.InspectDRBackend()
|
||||
# @test backend() == Plots.InspectDRBackend()
|
||||
#
|
||||
# image_comparison_facts(:inspectdr,
|
||||
# skip=[
|
||||
# 2, # animation
|
||||
# 6, # heatmap not defined
|
||||
# 10, # heatmap not defined
|
||||
# 22, # contour not defined
|
||||
# 23, # pie not defined
|
||||
# 27, # polar plot not working
|
||||
# 28, # heatmap not defined
|
||||
# 31, # animation
|
||||
# ],
|
||||
# tol=img_tol)
|
||||
# end
|
||||
|
||||
|
||||
# @testset "Plotly" begin
|
||||
# @test plotly() == Plots.PlotlyBackend()
|
||||
# @test backend() == Plots.PlotlyBackend()
|
||||
#
|
||||
# # # until png generation is reliable on OSX, just test on linux
|
||||
# # @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()
|
||||
#
|
||||
# # as long as we can plot anything without error, it should be the same as Plotly
|
||||
# image_comparison_facts(:plotlyjs, only=[1], tol=img_tol)
|
||||
# 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
|
||||
p = plot()
|
||||
axis = p.subplots[1][:xaxis]
|
||||
@@ -138,44 +53,3 @@ end
|
||||
@testset "NoFail" begin
|
||||
histogram([1, 0, 0, 0, 0, 0])
|
||||
end
|
||||
|
||||
# tests for preprocessing recipes
|
||||
|
||||
# @testset "recipes" begin
|
||||
|
||||
# user recipe
|
||||
|
||||
# type T end
|
||||
# @recipe function f(::T)
|
||||
# line := (3,0.3,:red)
|
||||
# marker := (20,0.5,:blue,:o)
|
||||
# bg := :yellow
|
||||
# rand(10)
|
||||
# end
|
||||
# plot(T())
|
||||
|
||||
# plot recipe
|
||||
|
||||
# @recipe function f(::Type{Val{:hiplt}},plt::Plot)
|
||||
# line := (3,0.3,:red)
|
||||
# marker := (20,0.5,:blue,:o)
|
||||
# t := :path
|
||||
# bg:=:green
|
||||
# ()
|
||||
# end
|
||||
# plot(rand(10),t=:hiplt)
|
||||
|
||||
# series recipe
|
||||
|
||||
# @recipe function f(::Type{Val{:hi}},x,y,z)
|
||||
# line := (3,0.3,:red)
|
||||
# marker := (20,0.5,:blue,:o)
|
||||
# t := :path
|
||||
# ()
|
||||
# end
|
||||
# plot(rand(10),t=:hiplt)
|
||||
|
||||
# end
|
||||
|
||||
|
||||
end # module
|
||||
|
||||
@@ -1,36 +0,0 @@
|
||||
import SnoopCompile
|
||||
|
||||
### Log the compiles
|
||||
# This only needs to be run once (to generate "/tmp/plots_compiles.csv")
|
||||
|
||||
# SnoopCompile.@snoop "/tmp/plots_compiles.csv" begin
|
||||
# include(joinpath(dirname(@__FILE__), "runtests.jl"))
|
||||
# end
|
||||
|
||||
# ----------------------------------------------------------
|
||||
|
||||
### Parse the compiles and generate precompilation scripts
|
||||
# This can be run repeatedly to tweak the scripts
|
||||
|
||||
# IMPORTANT: we must have the module(s) defined for the parcelation
|
||||
# step, otherwise we will get no precompiles for the Plots module
|
||||
using Plots
|
||||
|
||||
data = SnoopCompile.read("/tmp/plots_compiles.csv")
|
||||
|
||||
# The Plots tests are run inside a module PlotsTest, so all
|
||||
# the precompiles get credited to PlotsTest. Credit them to Plots instead.
|
||||
subst = Dict("PlotsTests"=>"Plots")
|
||||
|
||||
# Blacklist helps fix problems:
|
||||
# - MIME uses type-parameters with symbols like :image/png, which is
|
||||
# not parseable
|
||||
blacklist = ["MIME"]
|
||||
|
||||
# Use these two lines if you want to create precompile functions for
|
||||
# individual packages
|
||||
pc, discards = SnoopCompile.parcel(data[end:-1:1,2], subst=subst, blacklist=blacklist)
|
||||
SnoopCompile.write("/tmp/precompile", pc)
|
||||
|
||||
pdir = joinpath(dirname(@__FILE__), "..")
|
||||
run(`cp /tmp/precompile/precompile_Plots.jl $pdir/src/precompile.jl`)
|
||||
Reference in New Issue
Block a user