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backports-0.5
...
v0.12.2
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+1
-1
@@ -4,7 +4,7 @@ os:
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||||
- linux
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||||
# - osx
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||||
julia:
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- 0.5
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||||
- 0.6
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||||
matrix:
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||||
allow_failures:
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- julia: nightly
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||||
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@@ -9,8 +9,33 @@
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- `backports` branch is for Julia 0.4
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---
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## (current master)
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|
||||
## 0.11 (current master/dev)
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## 0.12.2
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||||
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||||
- fix an issue with Juno/PlotlyJS compatibility on new installations
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||||
- fix markers not showing up in seriesrecipes using :scatter
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- don't use pywrap in the pyplot backend
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- improve the bottom margin for the gr backend
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## 0.12.1
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- fix deprecation warnings
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- switch from FixedSizeArrays to StaticArrays.FixedSizeArrays
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- drop FactCheck in tests
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||||
- remove julia 0.5 compliant uses of transpose operator
|
||||
- fix GR heatmap bugs
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||||
- fix GR guide padding
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- improve legend markers in GR
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||||
- add surface alpha for Plotly(JS)
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||||
- add fillrange to Plotly(JS)
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||||
- allow usage of Matplotlib 1.5 with PyPlot
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||||
- fix GLVisualize for julia 0.6
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- conform to changes in InspectDR
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#### 0.12.0
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- 0.6 only
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||||
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||||
#### 0.11.3
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||||
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||||
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@@ -1,13 +1,15 @@
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||||
julia 0.5
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||||
julia 0.6-pre
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||||
|
||||
RecipesBase
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RecipesBase 0.2.0
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PlotUtils 0.4.1
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PlotThemes 0.1.3
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Reexport
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FixedSizeArrays
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||||
StaticArrays 0.5
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||||
FixedPointNumbers 0.3
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||||
Measures
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||||
Showoff
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||||
StatsBase 0.14.0
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||||
JSON
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||||
NaNMath
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||||
Requires
|
||||
Contour
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||||
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||||
+28
-28
@@ -3,8 +3,12 @@ __precompile__(false)
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module Plots
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using Reexport
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using FixedSizeArrays
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import StaticArrays
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using StaticArrays.FixedSizeArrays
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||||
@reexport using RecipesBase
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import RecipesBase: plot, animate
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||||
using Base.Meta
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||||
@reexport using PlotUtils
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||||
@reexport using PlotThemes
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||||
@@ -30,9 +34,6 @@ export
|
||||
with,
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||||
twinx,
|
||||
|
||||
@userplot,
|
||||
@shorthands,
|
||||
|
||||
pie,
|
||||
pie!,
|
||||
plot3d,
|
||||
@@ -107,14 +108,26 @@ export
|
||||
# ---------------------------------------------------------
|
||||
|
||||
import NaNMath # define functions that ignores NaNs. To overcome the destructive effects of https://github.com/JuliaLang/julia/pull/12563
|
||||
ignoreNaN_minimum{F<:AbstractFloat}(x::AbstractArray{F}) = NaNMath.minimum(x)
|
||||
ignoreNaN_minimum(x) = Base.minimum(x)
|
||||
ignoreNaN_maximum{F<:AbstractFloat}(x::AbstractArray{F}) = NaNMath.maximum(x)
|
||||
ignoreNaN_maximum(x) = Base.maximum(x)
|
||||
ignoreNaN_mean{F<:AbstractFloat}(x::AbstractArray{F}) = NaNMath.mean(x)
|
||||
ignoreNaN_mean(x) = Base.mean(x)
|
||||
ignoreNaN_extrema{F<:AbstractFloat}(x::AbstractArray{F}) = NaNMath.extrema(x)
|
||||
ignoreNaN_extrema(x) = Base.extrema(x)
|
||||
ignorenan_minimum{F<:AbstractFloat}(x::AbstractArray{F}) = NaNMath.minimum(x)
|
||||
ignorenan_minimum(x) = Base.minimum(x)
|
||||
ignorenan_maximum{F<:AbstractFloat}(x::AbstractArray{F}) = NaNMath.maximum(x)
|
||||
ignorenan_maximum(x) = Base.maximum(x)
|
||||
ignorenan_mean{F<:AbstractFloat}(x::AbstractArray{F}) = NaNMath.mean(x)
|
||||
ignorenan_mean(x) = Base.mean(x)
|
||||
ignorenan_extrema{F<:AbstractFloat}(x::AbstractArray{F}) = NaNMath.extrema(x)
|
||||
ignorenan_extrema(x) = Base.extrema(x)
|
||||
|
||||
# ---------------------------------------------------------
|
||||
|
||||
# to cater for block matrices, Base.transpose is recursive.
|
||||
# This makes it impossible to create row vectors of String and Symbol with the transpose operator.
|
||||
# This solves this issue, internally in Plots at least.
|
||||
|
||||
|
||||
# commented out on the insistence of the METADATA maintainers
|
||||
|
||||
#Base.transpose(x::Symbol) = x
|
||||
#Base.transpose(x::String) = x
|
||||
|
||||
# ---------------------------------------------------------
|
||||
|
||||
@@ -138,25 +151,14 @@ include("layouts.jl")
|
||||
include("subplots.jl")
|
||||
include("recipes.jl")
|
||||
include("animation.jl")
|
||||
include("output.jl")
|
||||
include("examples.jl")
|
||||
include("arg_desc.jl")
|
||||
include("plotattr.jl")
|
||||
include("backends.jl")
|
||||
|
||||
include("output.jl")
|
||||
|
||||
# ---------------------------------------------------------
|
||||
|
||||
# define and export shorthand plotting method definitions
|
||||
macro shorthands(funcname::Symbol)
|
||||
funcname2 = Symbol(funcname, "!")
|
||||
esc(quote
|
||||
export $funcname, $funcname2
|
||||
$funcname(args...; kw...) = plot(args...; kw..., seriestype = $(quot(funcname)))
|
||||
$funcname2(args...; kw...) = plot!(args...; kw..., seriestype = $(quot(funcname)))
|
||||
end)
|
||||
end
|
||||
|
||||
@shorthands scatter
|
||||
@shorthands bar
|
||||
@shorthands barh
|
||||
@@ -241,10 +243,8 @@ end
|
||||
|
||||
const CURRENT_BACKEND = CurrentBackend(:none)
|
||||
|
||||
function __init__()
|
||||
setup_ijulia()
|
||||
setup_atom()
|
||||
|
||||
# for compatibility with Requires.jl:
|
||||
@init begin
|
||||
if isdefined(Main, :PLOTS_DEFAULTS)
|
||||
for (k,v) in Main.PLOTS_DEFAULTS
|
||||
default(k, v)
|
||||
|
||||
+9
-1
@@ -336,6 +336,12 @@ const _all_defaults = KW[
|
||||
_axis_defaults_byletter
|
||||
]
|
||||
|
||||
# to be able to reset font sizes to initial values
|
||||
const _initial_fontsizes = Dict(:titlefont => _subplot_defaults[:titlefont].pointsize,
|
||||
:legendfont => _subplot_defaults[:legendfont].pointsize,
|
||||
:tickfont => _axis_defaults[:tickfont].pointsize,
|
||||
:guidefont => _axis_defaults[:guidefont].pointsize)
|
||||
|
||||
const _all_args = sort(collect(union(map(keys, _all_defaults)...)))
|
||||
|
||||
RecipesBase.is_key_supported(k::Symbol) = is_attr_supported(k)
|
||||
@@ -522,7 +528,6 @@ function default(d::KW, k::Symbol)
|
||||
end
|
||||
|
||||
|
||||
|
||||
# -----------------------------------------------------------------------------
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||||
|
||||
# if arg is a valid color value, then set d[csym] and return true
|
||||
@@ -701,6 +706,9 @@ function preprocessArgs!(d::KW)
|
||||
delete!(d, :marker)
|
||||
if haskey(d, :markershape)
|
||||
d[:markershape] = _replace_markershape(d[:markershape])
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if d[:markershape] == :none && d[:seriestype] in (:scatter, :scatterbins, :scatterhist, :scatter3d) #the default should be :auto, not :none, so that :none can be set explicitly and would be respected
|
||||
d[:markershape] = :circle
|
||||
end
|
||||
elseif anymarker
|
||||
d[:markershape_to_add] = :circle # add it after _apply_recipe
|
||||
end
|
||||
|
||||
+4
-4
@@ -118,7 +118,7 @@ Base.show(io::IO, axis::Axis) = dumpdict(axis.d, "Axis", true)
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||||
# Base.getindex(axis::Axis, k::Symbol) = getindex(axis.d, k)
|
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Base.setindex!(axis::Axis, v, ks::Symbol...) = setindex!(axis.d, v, ks...)
|
||||
Base.haskey(axis::Axis, k::Symbol) = haskey(axis.d, k)
|
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ignoreNaN_extrema(axis::Axis) = (ex = axis[:extrema]; (ex.emin, ex.emax))
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ignorenan_extrema(axis::Axis) = (ex = axis[:extrema]; (ex.emin, ex.emax))
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||||
|
||||
|
||||
const _scale_funcs = Dict{Symbol,Function}(
|
||||
@@ -349,11 +349,11 @@ function expand_extrema!(sp::Subplot, d::KW)
|
||||
|
||||
bw = d[:bar_width]
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||||
if bw == nothing
|
||||
bw = d[:bar_width] = ignoreNaN_mean(diff(data))
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||||
bw = d[:bar_width] = ignorenan_mean(diff(data))
|
||||
end
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||||
axis = sp.attr[Symbol(dsym, :axis)]
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||||
expand_extrema!(axis, ignoreNaN_maximum(data) + 0.5maximum(bw))
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||||
expand_extrema!(axis, ignoreNaN_minimum(data) - 0.5minimum(bw))
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||||
expand_extrema!(axis, ignorenan_maximum(data) + 0.5maximum(bw))
|
||||
expand_extrema!(axis, ignorenan_minimum(data) - 0.5minimum(bw))
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
+38
-45
@@ -58,7 +58,7 @@ const _glvisualize_scale = [:identity, :ln, :log2, :log10]
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function _initialize_backend(::GLVisualizeBackend; kw...)
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@eval begin
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import GLVisualize, GeometryTypes, Reactive, GLAbstraction, GLWindow, Contour
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import GeometryTypes: Point2f0, Point3f0, Vec2f0, Vec3f0, GLNormalMesh, SimpleRectangle
|
||||
import GeometryTypes: Point2f0, Point3f0, Vec2f0, Vec3f0, GLNormalMesh, SimpleRectangle, Point, Vec
|
||||
import FileIO, Images
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||||
export GLVisualize
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import Reactive: Signal
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||||
@@ -66,9 +66,8 @@ function _initialize_backend(::GLVisualizeBackend; kw...)
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import GLVisualize: visualize
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import Plots.GL
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import UnicodeFun
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Plots.slice_arg(img::Images.AbstractImage, idx::Int) = img
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Plots.slice_arg{C<:Colorant}(img::Matrix{C}, idx::Int) = img
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is_marker_supported(::GLVisualizeBackend, shape::GLVisualize.AllPrimitives) = true
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is_marker_supported{Img<:Images.AbstractImage}(::GLVisualizeBackend, shape::Union{Vector{Img}, Img}) = true
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is_marker_supported{C<:Colorant}(::GLVisualizeBackend, shape::Union{Vector{Matrix{C}}, Matrix{C}}) = true
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is_marker_supported(::GLVisualizeBackend, shape::Shape) = true
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const GL = Plots
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@@ -173,12 +172,12 @@ function gl_marker(shape)
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shape
|
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end
|
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function gl_marker(shape::Shape)
|
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points = Point2f0[Vec{2,Float32}(p) for p in zip(shape.x, shape.y)]
|
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points = Point2f0[GeometryTypes.Vec{2, Float32}(p) for p in zip(shape.x, shape.y)]
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bb = GeometryTypes.AABB(points)
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mini, maxi = minimum(bb), maximum(bb)
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w3 = maxi-mini
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origin, width = Point2f0(mini[1], mini[2]), Point2f0(w3[1], w3[2])
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map!(p -> ((p - origin) ./ width) - 0.5f0, points) # normalize and center
|
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map!(p -> ((p - origin) ./ width) - 0.5f0, points, points) # normalize and center
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||||
GeometryTypes.GLNormalMesh(points)
|
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end
|
||||
# create a marker/shape type
|
||||
@@ -212,13 +211,13 @@ function extract_limits(sp, d, kw_args)
|
||||
nothing
|
||||
end
|
||||
|
||||
to_vec{T <: FixedVector}(::Type{T}, vec::T) = vec
|
||||
to_vec{T <: FixedVector}(::Type{T}, s::Number) = T(s)
|
||||
to_vec{T <: StaticArrays.StaticVector}(::Type{T}, vec::T) = vec
|
||||
to_vec{T <: StaticArrays.StaticVector}(::Type{T}, s::Number) = T(s)
|
||||
|
||||
to_vec{T <: FixedVector{2}}(::Type{T}, vec::FixedVector{3}) = T(vec[1], vec[2])
|
||||
to_vec{T <: FixedVector{3}}(::Type{T}, vec::FixedVector{2}) = T(vec[1], vec[2], 0)
|
||||
to_vec{T <: StaticArrays.StaticVector{2}}(::Type{T}, vec::StaticArrays.StaticVector{3}) = T(vec[1], vec[2])
|
||||
to_vec{T <: StaticArrays.StaticVector{3}}(::Type{T}, vec::StaticArrays.StaticVector{2}) = T(vec[1], vec[2], 0)
|
||||
|
||||
to_vec{T <: FixedVector}(::Type{T}, vecs::AbstractVector) = map(x-> to_vec(T, x), vecs)
|
||||
to_vec{T <: StaticArrays.StaticVector}(::Type{T}, vecs::AbstractVector) = map(x-> to_vec(T, x), vecs)
|
||||
|
||||
function extract_marker(d, kw_args)
|
||||
dim = Plots.is3d(d) ? 3 : 2
|
||||
@@ -274,7 +273,7 @@ function extract_surface(d)
|
||||
map(_extract_surface, (d[:x], d[:y], d[:z]))
|
||||
end
|
||||
function topoints{P}(::Type{P}, array)
|
||||
P[x for x in zip(array...)]
|
||||
[P(x) for x in zip(array...)]
|
||||
end
|
||||
function extract_points(d)
|
||||
dim = is3d(d) ? 3 : 2
|
||||
@@ -304,7 +303,7 @@ function extract_any_color(d, kw_args)
|
||||
kw_args[:color_norm] = Vec2f0(clims)
|
||||
end
|
||||
elseif clims == :auto
|
||||
kw_args[:color_norm] = Vec2f0(ignoreNaN_extrema(d[:y]))
|
||||
kw_args[:color_norm] = Vec2f0(ignorenan_extrema(d[:y]))
|
||||
end
|
||||
end
|
||||
else
|
||||
@@ -315,7 +314,7 @@ function extract_any_color(d, kw_args)
|
||||
kw_args[:color_norm] = Vec2f0(clims)
|
||||
end
|
||||
elseif clims == :auto
|
||||
kw_args[:color_norm] = Vec2f0(ignoreNaN_extrema(d[:y]))
|
||||
kw_args[:color_norm] = Vec2f0(ignorenan_extrema(d[:y]))
|
||||
else
|
||||
error("Unsupported limits: $clims")
|
||||
end
|
||||
@@ -482,7 +481,7 @@ function hover(to_hover, to_display, window)
|
||||
end
|
||||
|
||||
function extract_extrema(d, kw_args)
|
||||
xmin, xmax = ignoreNaN_extrema(d[:x]); ymin, ymax = ignoreNaN_extrema(d[:y])
|
||||
xmin, xmax = ignorenan_extrema(d[:x]); ymin, ymax = ignorenan_extrema(d[:y])
|
||||
kw_args[:primitive] = GeometryTypes.SimpleRectangle{Float32}(xmin, ymin, xmax-xmin, ymax-ymin)
|
||||
nothing
|
||||
end
|
||||
@@ -509,7 +508,7 @@ function extract_colornorm(d, kw_args)
|
||||
else
|
||||
d[:y]
|
||||
end
|
||||
kw_args[:color_norm] = Vec2f0(ignoreNaN_extrema(z))
|
||||
kw_args[:color_norm] = Vec2f0(ignorenan_extrema(z))
|
||||
kw_args[:intensity] = map(Float32, collect(z))
|
||||
end
|
||||
end
|
||||
@@ -576,8 +575,10 @@ end
|
||||
|
||||
function align_offset(startpos, lastpos, atlas, rscale, font, align)
|
||||
xscale, yscale = GLVisualize.glyph_scale!('X', rscale)
|
||||
xmove = (lastpos-startpos)[1]+xscale
|
||||
if align == :top
|
||||
xmove = (lastpos-startpos)[1] + xscale
|
||||
if isa(align, GeometryTypes.Vec)
|
||||
return -Vec2f0(xmove, yscale) .* align
|
||||
elseif align == :top
|
||||
return -Vec2f0(xmove/2f0, yscale)
|
||||
elseif align == :right
|
||||
return -Vec2f0(xmove, yscale/2f0)
|
||||
@@ -586,11 +587,6 @@ function align_offset(startpos, lastpos, atlas, rscale, font, align)
|
||||
end
|
||||
end
|
||||
|
||||
function align_offset(startpos, lastpos, atlas, rscale, font, align::Vec)
|
||||
xscale, yscale = GLVisualize.glyph_scale!('X', rscale)
|
||||
xmove = (lastpos-startpos)[1] + xscale
|
||||
return -Vec2f0(xmove, yscale) .* align
|
||||
end
|
||||
|
||||
function alignment2num(x::Symbol)
|
||||
(x in (:hcenter, :vcenter)) && return 0.5
|
||||
@@ -638,7 +634,7 @@ function draw_ticks(
|
||||
position = GLVisualize.calc_position(str, startpos, sz, font, atlas)
|
||||
offset = GLVisualize.calc_offset(str, sz, font, atlas)
|
||||
alignoff = align_offset(startpos, last(position), atlas, sz, font, align)
|
||||
map!(position) do pos
|
||||
map!(position, position) do pos
|
||||
pos .+ alignoff
|
||||
end
|
||||
append!(positions, position)
|
||||
@@ -660,7 +656,7 @@ function glvisualize_text(position, text, kw_args)
|
||||
offset = GLVisualize.calc_offset(text.str, rscale, font, atlas)
|
||||
alignoff = align_offset(startpos, last(position), atlas, rscale, font, text_align)
|
||||
|
||||
map!(position) do pos
|
||||
map!(position, position) do pos
|
||||
pos .+ alignoff
|
||||
end
|
||||
kw_args[:position] = position
|
||||
@@ -781,9 +777,9 @@ function gl_bar(d, kw_args)
|
||||
# compute half-width of bars
|
||||
bw = nothing
|
||||
hw = if bw == nothing
|
||||
ignoreNaN_mean(diff(x))
|
||||
ignorenan_mean(diff(x))
|
||||
else
|
||||
Float64[cycle(bw,i)*0.5 for i=1:length(x)]
|
||||
Float64[_cycle(bw,i)*0.5 for i=1:length(x)]
|
||||
end
|
||||
|
||||
# make fillto a vector... default fills to 0
|
||||
@@ -792,12 +788,12 @@ function gl_bar(d, kw_args)
|
||||
fillto = 0
|
||||
end
|
||||
# create the bar shapes by adding x/y segments
|
||||
positions, scales = Array(Point2f0, ny), Array(Vec2f0, ny)
|
||||
positions, scales = Array{Point2f0}(ny), Array{Vec2f0}(ny)
|
||||
m = Reactive.value(kw_args[:model])
|
||||
sx, sy = m[1,1], m[2,2]
|
||||
for i=1:ny
|
||||
center = x[i]
|
||||
hwi = abs(cycle(hw,i)); yi = y[i]; fi = cycle(fillto,i)
|
||||
hwi = abs(_cycle(hw,i)); yi = y[i]; fi = _cycle(fillto,i)
|
||||
if Plots.isvertical(d)
|
||||
sz = (hwi*sx, yi*sy)
|
||||
else
|
||||
@@ -833,7 +829,7 @@ function gl_boxplot(d, kw_args)
|
||||
sx, sy = m[1,1], m[2,2]
|
||||
for (i,glabel) in enumerate(glabels)
|
||||
# filter y
|
||||
values = y[filter(i -> cycle(x,i) == glabel, 1:length(y))]
|
||||
values = y[filter(i -> _cycle(x,i) == glabel, 1:length(y))]
|
||||
# compute quantiles
|
||||
q1,q2,q3,q4,q5 = quantile(values, linspace(0,1,5))
|
||||
# notch
|
||||
@@ -846,7 +842,7 @@ function gl_boxplot(d, kw_args)
|
||||
|
||||
# make the shape
|
||||
center = Plots.discrete_value!(d[:subplot][:xaxis], glabel)[1]
|
||||
hw = d[:bar_width] == nothing ? Plots._box_halfwidth*2 : cycle(d[:bar_width], i)
|
||||
hw = d[:bar_width] == nothing ? Plots._box_halfwidth*2 : _cycle(d[:bar_width], i)
|
||||
l, m, r = center - hw/2, center, center + hw/2
|
||||
|
||||
# internal nodes for notches
|
||||
@@ -864,7 +860,7 @@ function gl_boxplot(d, kw_args)
|
||||
end
|
||||
# change q1 and q5 to show outliers
|
||||
# using maximum and minimum values inside the limits
|
||||
q1, q5 = ignoreNaN_extrema(inside)
|
||||
q1, q5 = ignorenan_extrema(inside)
|
||||
end
|
||||
# Box
|
||||
if notch
|
||||
@@ -943,9 +939,9 @@ function scale_for_annotations!(series::Series, scaletype::Symbol = :pixels)
|
||||
# we use baseshape to overwrite the markershape attribute
|
||||
# with a list of custom shapes for each
|
||||
msw, msh = anns.scalefactor
|
||||
offsets = Array(Vec2f0, length(anns.strs))
|
||||
offsets = Array{Vec2f0}(length(anns.strs))
|
||||
series[:markersize] = map(1:length(anns.strs)) do i
|
||||
str = cycle(anns.strs, i)
|
||||
str = _cycle(anns.strs, i)
|
||||
# get the width and height of the string (in mm)
|
||||
sw, sh = text_size(str, anns.font.pointsize)
|
||||
|
||||
@@ -1058,7 +1054,7 @@ function _display(plt::Plot{GLVisualizeBackend}, visible = true)
|
||||
kw = copy(kw_args)
|
||||
fr = d[:fillrange]
|
||||
ps = if all(x-> x >= 0, diff(d[:x])) # if is monotonic
|
||||
vcat(points, Point2f0[(points[i][1], cycle(fr, i)) for i=length(points):-1:1])
|
||||
vcat(points, Point2f0[(points[i][1], _cycle(fr, i)) for i=length(points):-1:1])
|
||||
else
|
||||
points
|
||||
end
|
||||
@@ -1122,7 +1118,7 @@ function _display(plt::Plot{GLVisualizeBackend}, visible = true)
|
||||
anns = series[:series_annotations]
|
||||
for (x, y, str, font) in EachAnn(anns, d[:x], d[:y])
|
||||
txt_args = Dict{Symbol, Any}(:model => eye(GLAbstraction.Mat4f0))
|
||||
x, y = Reactive.value(model_m) * Vec{4, Float32}(x, y, 0, 1)
|
||||
x, y = Reactive.value(model_m) * GeometryTypes.Vec{4, Float32}(x, y, 0, 1)
|
||||
extract_font(font, txt_args)
|
||||
t = glvisualize_text(Point2f0(x, y), PlotText(str, font), txt_args)
|
||||
GLVisualize._view(t, sp_screen, camera = :perspective)
|
||||
@@ -1148,10 +1144,7 @@ function _show(io::IO, ::MIME"image/png", plt::Plot{GLVisualizeBackend})
|
||||
GLWindow.render_frame(GLWindow.rootscreen(plt.o))
|
||||
GLWindow.swapbuffers(plt.o)
|
||||
buff = GLWindow.screenbuffer(plt.o)
|
||||
png = Images.Image(map(RGB{U8}, buff),
|
||||
colorspace = "sRGB",
|
||||
spatialorder = ["y", "x"]
|
||||
)
|
||||
png = map(RGB{U8}, buff)
|
||||
FileIO.save(FileIO.Stream(FileIO.DataFormat{:PNG}, io), png)
|
||||
end
|
||||
|
||||
@@ -1231,7 +1224,7 @@ function gl_scatter(points, kw_args)
|
||||
if haskey(kw_args, :stroke_width)
|
||||
s = Reactive.value(kw_args[:scale])
|
||||
sw = kw_args[:stroke_width]
|
||||
if sw*5 > cycle(Reactive.value(s), 1)[1] # restrict marker stroke to 1/10th of scale (and handle arrays of scales)
|
||||
if sw*5 > _cycle(Reactive.value(s), 1)[1] # restrict marker stroke to 1/10th of scale (and handle arrays of scales)
|
||||
kw_args[:stroke_width] = s[1] / 5f0
|
||||
end
|
||||
end
|
||||
@@ -1309,8 +1302,8 @@ function gl_contour(x, y, z, kw_args)
|
||||
if kw_args[:fillrange] != nothing
|
||||
|
||||
delete!(kw_args, :intensity)
|
||||
I = GLVisualize.Intensity{1, Float32}
|
||||
main = I[z[j,i] for i=1:size(z, 2), j=1:size(z, 1)]
|
||||
I = GLVisualize.Intensity{Float32}
|
||||
main = [I(z[j,i]) for i=1:size(z, 2), j=1:size(z, 1)]
|
||||
return visualize(main, Style(:default), kw_args)
|
||||
|
||||
else
|
||||
@@ -1318,7 +1311,7 @@ function gl_contour(x, y, z, kw_args)
|
||||
T = eltype(z)
|
||||
levels = Contour.contours(map(T, x), map(T, y), z, h)
|
||||
result = Point2f0[]
|
||||
zmin, zmax = get(kw_args, :limits, Vec2f0(ignoreNaN_extrema(z)))
|
||||
zmin, zmax = get(kw_args, :limits, Vec2f0(ignorenan_extrema(z)))
|
||||
cmap = get(kw_args, :color_map, get(kw_args, :color, RGBA{Float32}(0,0,0,1)))
|
||||
colors = RGBA{Float32}[]
|
||||
for c in levels.contours
|
||||
@@ -1339,10 +1332,10 @@ end
|
||||
|
||||
|
||||
function gl_heatmap(x,y,z, kw_args)
|
||||
get!(kw_args, :color_norm, Vec2f0(ignoreNaN_extrema(z)))
|
||||
get!(kw_args, :color_norm, Vec2f0(ignorenan_extrema(z)))
|
||||
get!(kw_args, :color_map, Plots.make_gradient(cgrad()))
|
||||
delete!(kw_args, :intensity)
|
||||
I = GLVisualize.Intensity{1, Float32}
|
||||
I = GLVisualize.Intensity{Float32}
|
||||
heatmap = I[z[j,i] for i=1:size(z, 2), j=1:size(z, 1)]
|
||||
tex = GLAbstraction.Texture(heatmap, minfilter=:nearest)
|
||||
kw_args[:stroke_width] = 0f0
|
||||
|
||||
+75
-29
@@ -124,10 +124,10 @@ function gr_getcolorind(c)
|
||||
convert(Int, GR.inqcolorfromrgb(red(c), green(c), blue(c)))
|
||||
end
|
||||
|
||||
gr_set_linecolor(c) = GR.setlinecolorind(gr_getcolorind(cycle(c,1)))
|
||||
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_linecolor(c) = GR.setlinecolorind(gr_getcolorind(_cycle(c,1)))
|
||||
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)))
|
||||
|
||||
# --------------------------------------------------------------------------------------
|
||||
|
||||
@@ -264,7 +264,7 @@ end
|
||||
|
||||
normalize_zvals(zv::Void) = zv
|
||||
function normalize_zvals(zv::AVec)
|
||||
vmin, vmax = ignoreNaN_extrema(zv)
|
||||
vmin, vmax = ignorenan_extrema(zv)
|
||||
if vmin == vmax
|
||||
zeros(length(zv))
|
||||
else
|
||||
@@ -272,6 +272,10 @@ function normalize_zvals(zv::AVec)
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
gr_alpha(α::Void) = 1
|
||||
gr_alpha(α::Real) = α
|
||||
|
||||
# ---------------------------------------------------------
|
||||
|
||||
# draw ONE Shape
|
||||
@@ -301,23 +305,23 @@ function gr_draw_markers(series::Series, x, y, msize, mz)
|
||||
shapes = series[:markershape]
|
||||
if shapes != :none
|
||||
for i=1:length(x)
|
||||
msi = cycle(msize, i)
|
||||
shape = cycle(shapes, i)
|
||||
msi = _cycle(msize, i)
|
||||
shape = _cycle(shapes, i)
|
||||
cfunc = isa(shape, Shape) ? gr_set_fillcolor : gr_set_markercolor
|
||||
cfuncind = isa(shape, Shape) ? GR.setfillcolorind : GR.setmarkercolorind
|
||||
|
||||
# draw a filled in shape, slightly bigger, to estimate a stroke
|
||||
if series[:markerstrokewidth] > 0
|
||||
cfunc(cycle(series[:markerstrokecolor], i)) #, series[:markerstrokealpha])
|
||||
cfunc(_cycle(series[:markerstrokecolor], i)) #, series[:markerstrokealpha])
|
||||
gr_draw_marker(x[i], y[i], msi + series[:markerstrokewidth], shape)
|
||||
end
|
||||
|
||||
# draw the shape
|
||||
if mz == nothing
|
||||
cfunc(cycle(series[:markercolor], i)) #, series[:markeralpha])
|
||||
cfunc(_cycle(series[:markercolor], i)) #, series[:markeralpha])
|
||||
else
|
||||
# pick a color from the pre-loaded gradient
|
||||
ci = round(Int, 1000 + cycle(mz, i) * 255)
|
||||
ci = round(Int, 1000 + _cycle(mz, i) * 255)
|
||||
cfuncind(ci)
|
||||
GR.settransparency(_gr_gradient_alpha[ci-999])
|
||||
end
|
||||
@@ -353,7 +357,7 @@ function gr_set_fill(c) #, a)
|
||||
end
|
||||
|
||||
# this stores the conversion from a font pointsize to "percentage of window height" (which is what GR uses)
|
||||
const _gr_point_mult = zeros(1)
|
||||
const _gr_point_mult = 0.0018 * ones(1)
|
||||
|
||||
# set the font attributes... assumes _gr_point_mult has been populated already
|
||||
function gr_set_font(f::Font; halign = f.halign, valign = f.valign,
|
||||
@@ -384,7 +388,7 @@ end
|
||||
const viewport_plotarea = zeros(4)
|
||||
|
||||
# the size of the current plot in pixels
|
||||
const gr_plot_size = zeros(2)
|
||||
const gr_plot_size = [600.0, 400.0]
|
||||
|
||||
function gr_viewport_from_bbox(sp::Subplot{GRBackend}, bb::BoundingBox, w, h, viewport_canvas)
|
||||
viewport = zeros(4)
|
||||
@@ -448,7 +452,6 @@ gr_view_ycenter() = 0.5 * (viewport_plotarea[3] + viewport_plotarea[4])
|
||||
|
||||
function gr_legend_pos(s::Symbol,w,h)
|
||||
str = string(s)
|
||||
println(str)
|
||||
if str == "best"
|
||||
str = "topright"
|
||||
end
|
||||
@@ -535,7 +538,35 @@ end
|
||||
|
||||
|
||||
function _update_min_padding!(sp::Subplot{GRBackend})
|
||||
sp.minpad = (10mm,2mm,2mm,8mm)
|
||||
leftpad = 10mm
|
||||
toppad = 2mm
|
||||
rightpad = 2mm
|
||||
bottompad = 6mm
|
||||
if sp[:title] != ""
|
||||
toppad += 5mm
|
||||
end
|
||||
if sp[:xaxis][:guide] != ""
|
||||
xticks = axis_drawing_info(sp)[1]
|
||||
if !(xticks in (nothing, false))
|
||||
gr_set_font(sp[:xaxis][:tickfont],
|
||||
halign = (:left, :hcenter, :right)[sign(sp[:xaxis][:rotation]) + 2],
|
||||
valign = :top,
|
||||
color = sp[:xaxis][:foreground_color_axis],
|
||||
rotation = sp[:xaxis][:rotation])
|
||||
h = 0
|
||||
for (cv, dv) in zip(xticks...)
|
||||
tbx, tby = gr_inqtext(0, 0, string(dv))
|
||||
h = max(h, tby[2] - tby[1])
|
||||
end
|
||||
bottompad += 1mm + gr_plot_size[2] * h * px
|
||||
else
|
||||
bottompad += 4mm
|
||||
end
|
||||
end
|
||||
if sp[:yaxis][:guide] != ""
|
||||
leftpad += 4mm
|
||||
end
|
||||
sp.minpad = (leftpad, toppad, rightpad, bottompad)
|
||||
end
|
||||
|
||||
|
||||
@@ -545,6 +576,7 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
viewport_plotarea[:] = gr_viewport_from_bbox(sp, plotarea(sp), w, h, viewport_canvas)
|
||||
# get data limits
|
||||
data_lims = gr_xy_axislims(sp)
|
||||
xy_lims = data_lims
|
||||
|
||||
ratio = sp[:aspect_ratio]
|
||||
if ratio != :none
|
||||
@@ -586,7 +618,8 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
end
|
||||
if st == :heatmap
|
||||
outside_ticks = true
|
||||
x, y = heatmap_edges(series[:x]), heatmap_edges(series[:y])
|
||||
x, y = heatmap_edges(series[:x], sp[:xaxis][:scale]), heatmap_edges(series[:y], sp[:yaxis][:scale])
|
||||
xy_lims = x[1], x[end], y[1], y[end]
|
||||
expand_extrema!(sp[:xaxis], x)
|
||||
expand_extrema!(sp[:yaxis], y)
|
||||
data_lims = gr_xy_axislims(sp)
|
||||
@@ -667,7 +700,7 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
|
||||
elseif ispolar(sp)
|
||||
r = gr_set_viewport_polar()
|
||||
rmin, rmax = GR.adjustrange(ignoreNaN_minimum(r), ignoreNaN_maximum(r))
|
||||
rmin, rmax = GR.adjustrange(ignorenan_minimum(r), ignorenan_maximum(r))
|
||||
# rmin, rmax = axis_limits(sp[:yaxis])
|
||||
gr_polaraxes(rmin, rmax)
|
||||
|
||||
@@ -706,7 +739,7 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
rotation = sp[:xaxis][:rotation])
|
||||
for (cv, dv) in zip(xticks...)
|
||||
# use xor ($) to get the right y coords
|
||||
xi, yi = GR.wctondc(cv, (flip $ mirror) ? ymax : ymin)
|
||||
xi, yi = GR.wctondc(cv, xor(flip, mirror) ? ymax : ymin)
|
||||
# @show cv dv ymin xi yi flip mirror (flip $ mirror)
|
||||
gr_text(xi, yi + (mirror ? 1 : -1) * 5e-3, string(dv))
|
||||
end
|
||||
@@ -723,7 +756,7 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
rotation = sp[:yaxis][:rotation])
|
||||
for (cv, dv) in zip(yticks...)
|
||||
# use xor ($) to get the right y coords
|
||||
xi, yi = GR.wctondc((flip $ mirror) ? xmax : xmin, cv)
|
||||
xi, yi = GR.wctondc(xor(flip, mirror) ? xmax : xmin, cv)
|
||||
# @show cv dv xmin xi yi
|
||||
gr_text(xi + (mirror ? 1 : -1) * 1e-2, yi, string(dv))
|
||||
end
|
||||
@@ -809,9 +842,9 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
fr_from, fr_to = (is_2tuple(frng) ? frng : (y, frng))
|
||||
for (i,rng) in enumerate(iter_segments(series[:x], series[:y]))
|
||||
if length(rng) > 1
|
||||
gr_set_fillcolor(cycle(series[:fillcolor], i))
|
||||
fx = cycle(x, vcat(rng, reverse(rng)))
|
||||
fy = vcat(cycle(fr_from,rng), cycle(fr_to,reverse(rng)))
|
||||
gr_set_fillcolor(_cycle(series[:fillcolor], i))
|
||||
fx = _cycle(x, vcat(rng, reverse(rng)))
|
||||
fy = vcat(_cycle(fr_from,rng), _cycle(fr_to,reverse(rng)))
|
||||
# @show i rng fx fy
|
||||
GR.fillarea(fx, fy)
|
||||
end
|
||||
@@ -852,7 +885,7 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
# create the colorbar of contour levels
|
||||
if sp[:colorbar] != :none
|
||||
gr_set_viewport_cmap(sp)
|
||||
l = round(Int32, 1000 + (h - ignoreNaN_minimum(h)) / (ignoreNaN_maximum(h) - ignoreNaN_minimum(h)) * 255)
|
||||
l = round.(Int32, 1000 + (h - ignorenan_minimum(h)) / (ignorenan_maximum(h) - ignorenan_minimum(h)) * 255)
|
||||
GR.setwindow(xmin, xmax, zmin, zmax)
|
||||
GR.cellarray(xmin, xmax, zmax, zmin, 1, length(l), l)
|
||||
ztick = 0.5 * GR.tick(zmin, zmax)
|
||||
@@ -874,6 +907,7 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
cmap && gr_colorbar(sp)
|
||||
|
||||
elseif st == :heatmap
|
||||
xmin, xmax, ymin, ymax = xy_lims
|
||||
zmin, zmax = gr_lims(zaxis, true)
|
||||
clims = sp[:clims]
|
||||
if is_2tuple(clims)
|
||||
@@ -887,7 +921,8 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
round(Int, blue(c) * 255) << 16 +
|
||||
round(Int, green(c) * 255) << 8 +
|
||||
round(Int, red(c) * 255) ), colors)
|
||||
GR.drawimage(xmin, xmax, ymax, ymin, length(x), length(y), rgba)
|
||||
w, h = length(x), length(y)
|
||||
GR.drawimage(xmin, xmax, ymax, ymin, w, h, rgba)
|
||||
cmap && gr_colorbar(sp)
|
||||
|
||||
elseif st in (:path3d, :scatter3d)
|
||||
@@ -963,11 +998,11 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
x, y = series[:x][rng], series[:y][rng]
|
||||
|
||||
# draw the interior
|
||||
gr_set_fill(cycle(series[:fillcolor], i))
|
||||
gr_set_fill(_cycle(series[:fillcolor], i))
|
||||
GR.fillarea(x, y)
|
||||
|
||||
# draw the shapes
|
||||
gr_set_line(series[:linewidth], :solid, cycle(series[:linecolor], i))
|
||||
gr_set_line(series[:linewidth], :solid, _cycle(series[:linecolor], i))
|
||||
GR.polyline(x, y)
|
||||
end
|
||||
end
|
||||
@@ -1039,6 +1074,7 @@ 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[:foreground_color_legend])
|
||||
GR.settransparency(1)
|
||||
gr_text(xpos - 0.03 + 0.5*w, ypos, string(sp[:legendtitle]))
|
||||
ypos -= dy
|
||||
end
|
||||
@@ -1046,16 +1082,26 @@ function gr_display(sp::Subplot{GRBackend}, w, h, viewport_canvas)
|
||||
should_add_to_legend(series) || continue
|
||||
st = series[:seriestype]
|
||||
gr_set_line(series[:linewidth], series[:linestyle], series[:linecolor]) #, series[:linealpha])
|
||||
if st == :path && series[:fillrange] == nothing
|
||||
GR.polyline([xpos - 0.07, xpos - 0.01], [ypos, ypos])
|
||||
elseif st == :shape || series[:fillrange] != nothing
|
||||
|
||||
if st == :shape || series[:fillrange] != nothing
|
||||
gr_set_fill(series[:fillcolor]) #, 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.settransparency(gr_alpha(series[:fillalpha]))
|
||||
gr_polyline(x, y, GR.fillarea)
|
||||
gr_polyline(x, y)
|
||||
GR.settransparency(gr_alpha(series[:linealpha]))
|
||||
st == :shape && gr_polyline(x, y)
|
||||
end
|
||||
|
||||
if st == :path
|
||||
GR.settransparency(gr_alpha(series[:linealpha]))
|
||||
if series[:fillrange] == nothing || series[:ribbon] != nothing
|
||||
GR.polyline([xpos - 0.07, xpos - 0.01], [ypos, ypos])
|
||||
else
|
||||
GR.polyline([xpos - 0.07, xpos - 0.01], [ypos+0.4dy, ypos+0.4dy])
|
||||
end
|
||||
end
|
||||
|
||||
if series[:markershape] != :none
|
||||
|
||||
+22
-23
@@ -265,8 +265,8 @@ For st in :shape:
|
||||
nmax = i
|
||||
if length(rng) > 1
|
||||
linewidth = series[:linewidth]
|
||||
linecolor = _inspectdr_mapcolor(cycle(series[:linecolor], i))
|
||||
fillcolor = _inspectdr_mapcolor(cycle(series[:fillcolor], i))
|
||||
linecolor = _inspectdr_mapcolor(_cycle(series[:linecolor], i))
|
||||
fillcolor = _inspectdr_mapcolor(_cycle(series[:fillcolor], i))
|
||||
line = InspectDR.line(
|
||||
style=:solid, width=linewidth, color=linecolor
|
||||
)
|
||||
@@ -280,8 +280,8 @@ For st in :shape:
|
||||
i = (nmax >= 2? div(nmax, 2): nmax) #Must pick one set of colors for legend
|
||||
if i > 1 #Add dummy waveform for legend entry:
|
||||
linewidth = series[:linewidth]
|
||||
linecolor = _inspectdr_mapcolor(cycle(series[:linecolor], i))
|
||||
fillcolor = _inspectdr_mapcolor(cycle(series[:fillcolor], i))
|
||||
linecolor = _inspectdr_mapcolor(_cycle(series[:linecolor], i))
|
||||
fillcolor = _inspectdr_mapcolor(_cycle(series[:fillcolor], i))
|
||||
wfrm = InspectDR.add(plot, Float64[], Float64[], id=series[:label])
|
||||
wfrm.line = InspectDR.line(
|
||||
style=:none, width=linewidth, #linewidth affects glyph
|
||||
@@ -362,30 +362,29 @@ function _inspectdr_setupsubplot(sp::Subplot{InspectDRBackend})
|
||||
a.xlabel = xaxis[:guide]; a.ylabels = [yaxis[:guide]]
|
||||
|
||||
l = plot.layout
|
||||
l.frame.fillcolor = _inspectdr_mapcolor(sp[:background_color_subplot])
|
||||
l.framedata.fillcolor = _inspectdr_mapcolor(sp[:background_color_inside])
|
||||
l.framedata.line.color = _inspectdr_mapcolor(xaxis[:foreground_color_axis])
|
||||
l.fnttitle = InspectDR.Font(sp[:titlefont].family,
|
||||
l[:frame_canvas].fillcolor = _inspectdr_mapcolor(sp[:background_color_subplot])
|
||||
l[:frame_data].fillcolor = _inspectdr_mapcolor(sp[:background_color_inside])
|
||||
l[:frame_data].line.color = _inspectdr_mapcolor(xaxis[:foreground_color_axis])
|
||||
l[:font_title] = InspectDR.Font(sp[:titlefont].family,
|
||||
_inspectdr_mapptsize(sp[:titlefont].pointsize),
|
||||
color = _inspectdr_mapcolor(sp[:foreground_color_title])
|
||||
)
|
||||
#Cannot independently control fonts of axes with InspectDR:
|
||||
l.fntaxlabel = InspectDR.Font(xaxis[:guidefont].family,
|
||||
l[:font_axislabel] = InspectDR.Font(xaxis[:guidefont].family,
|
||||
_inspectdr_mapptsize(xaxis[:guidefont].pointsize),
|
||||
color = _inspectdr_mapcolor(xaxis[:foreground_color_guide])
|
||||
)
|
||||
l.fntticklabel = InspectDR.Font(xaxis[:tickfont].family,
|
||||
l[:font_ticklabel] = InspectDR.Font(xaxis[:tickfont].family,
|
||||
_inspectdr_mapptsize(xaxis[:tickfont].pointsize),
|
||||
color = _inspectdr_mapcolor(xaxis[:foreground_color_text])
|
||||
)
|
||||
leg = l.legend
|
||||
leg.enabled = (sp[:legend] != :none)
|
||||
#leg.width = 150 #TODO: compute???
|
||||
leg.font = InspectDR.Font(sp[:legendfont].family,
|
||||
l[:enable_legend] = (sp[:legend] != :none)
|
||||
#l[:halloc_legend] = 150 #TODO: compute???
|
||||
l[:font_legend] = InspectDR.Font(sp[:legendfont].family,
|
||||
_inspectdr_mapptsize(sp[:legendfont].pointsize),
|
||||
color = _inspectdr_mapcolor(sp[:foreground_color_legend])
|
||||
)
|
||||
leg.frame.fillcolor = _inspectdr_mapcolor(sp[:background_color_legend])
|
||||
l[:frame_legend].fillcolor = _inspectdr_mapcolor(sp[:background_color_legend])
|
||||
end
|
||||
|
||||
# called just before updating layout bounding boxes... in case you need to prep
|
||||
@@ -399,7 +398,7 @@ function _before_layout_calcs(plt::Plot{InspectDRBackend})
|
||||
#Don't use window_title... probably not what you want.
|
||||
#mplot.title = plt[:window_title]
|
||||
end
|
||||
mplot.frame.fillcolor = _inspectdr_mapcolor(plt[:background_color_outside])
|
||||
mplot.layout[:frame].fillcolor = _inspectdr_mapcolor(plt[:background_color_outside])
|
||||
|
||||
resize!(mplot.subplots, length(plt.subplots))
|
||||
nsubplots = length(plt.subplots)
|
||||
@@ -421,15 +420,15 @@ function _before_layout_calcs(plt::Plot{InspectDRBackend})
|
||||
#Do not yet support absolute plot positionning.
|
||||
#Just try to make things look more-or less ok:
|
||||
if nsubplots <= 1
|
||||
mplot.ncolumns = 1
|
||||
mplot.layout[:ncolumns] = 1
|
||||
elseif nsubplots <= 4
|
||||
mplot.ncolumns = 2
|
||||
mplot.layout[:ncolumns] = 2
|
||||
elseif nsubplots <= 6
|
||||
mplot.ncolumns = 3
|
||||
mplot.layout[:ncolumns] = 3
|
||||
elseif nsubplots <= 12
|
||||
mplot.ncolumns = 4
|
||||
mplot.layout[:ncolumns] = 4
|
||||
else
|
||||
mplot.ncolumns = 5
|
||||
mplot.layout[:ncolumns] = 5
|
||||
end
|
||||
|
||||
for series in plt.series_list
|
||||
@@ -446,7 +445,7 @@ function _update_min_padding!(sp::Subplot{InspectDRBackend})
|
||||
plot = sp.o
|
||||
if !isa(plot, InspectDR.Plot2D); return sp.minpad; end
|
||||
#Computing plotbounds with 0-BoundingBox returns required padding:
|
||||
bb = InspectDR.plotbounds(plot.layout, InspectDR.BoundingBox(0,0,0,0))
|
||||
bb = InspectDR.plotbounds(plot.layout.values, InspectDR.BoundingBox(0,0,0,0))
|
||||
#NOTE: plotbounds always pads for titles, legends, etc. even if not in use.
|
||||
#TODO: possibly zero-out items not in use??
|
||||
|
||||
@@ -468,7 +467,7 @@ function _update_plot_object(plt::Plot{InspectDRBackend})
|
||||
for (i, sp) in enumerate(plt.subplots)
|
||||
graphbb = _inspectdr_to_pixels(plotarea(sp))
|
||||
plot = mplot.subplots[i]
|
||||
plot.plotbb = InspectDR.plotbounds(plot.layout, graphbb)
|
||||
plot.plotbb = InspectDR.plotbounds(plot.layout.values, graphbb)
|
||||
end
|
||||
|
||||
gplot = _inspectdr_getgui(plt.o)
|
||||
|
||||
+27
-6
@@ -435,6 +435,7 @@ function plotly_series(plt::Plot, series::Series)
|
||||
isscatter = st in (:scatter, :scatter3d, :scattergl)
|
||||
hasmarker = isscatter || series[:markershape] != :none
|
||||
hasline = st in (:path, :path3d)
|
||||
hasfillrange = st in (:path, :scatter, :scattergl) && isa(series[:fillrange], AbstractVector)
|
||||
|
||||
# for surface types, set the data
|
||||
if st in (:heatmap, :contour, :surface, :wireframe)
|
||||
@@ -461,8 +462,11 @@ function plotly_series(plt::Plot, series::Series)
|
||||
if series[:fillrange] == true || series[:fillrange] == 0
|
||||
d_out[:fill] = "tozeroy"
|
||||
d_out[:fillcolor] = rgba_string(series[:fillcolor])
|
||||
elseif isa(series[:fillrange], AbstractVector)
|
||||
d_out[:fill] = "tonexty"
|
||||
d_out[:fillcolor] = rgba_string(series[:fillcolor])
|
||||
elseif !(series[:fillrange] in (false, nothing))
|
||||
warn("fillrange ignored... plotly only supports filling to zero. fillrange: $(series[:fillrange])")
|
||||
warn("fillrange ignored... plotly only supports filling to zero and to a vector of values. fillrange: $(series[:fillrange])")
|
||||
end
|
||||
d_out[:x], d_out[:y] = x, y
|
||||
|
||||
@@ -479,6 +483,7 @@ function plotly_series(plt::Plot, series::Series)
|
||||
d_out[:type] = "heatmap"
|
||||
# d_out[:x], d_out[:y], d_out[:z] = series[:x], series[:y], transpose_z(series, series[:z].surf, false)
|
||||
d_out[:colorscale] = plotly_colorscale(series[:fillcolor], series[:fillalpha])
|
||||
d_out[:showscale] = sp[:legend] != :none
|
||||
|
||||
elseif st == :contour
|
||||
d_out[:type] = "contour"
|
||||
@@ -487,6 +492,7 @@ function plotly_series(plt::Plot, series::Series)
|
||||
d_out[:ncontours] = series[:levels]
|
||||
d_out[:contours] = KW(:coloring => series[:fillrange] != nothing ? "fill" : "lines")
|
||||
d_out[:colorscale] = plotly_colorscale(series[:linecolor], series[:linealpha])
|
||||
d_out[:showscale] = sp[:legend] != :none
|
||||
|
||||
elseif st in (:surface, :wireframe)
|
||||
d_out[:type] = "surface"
|
||||
@@ -499,11 +505,14 @@ function plotly_series(plt::Plot, series::Series)
|
||||
:highlightwidth => series[:linewidth],
|
||||
)
|
||||
d_out[:contours] = KW(:x => wirelines, :y => wirelines, :z => wirelines)
|
||||
d_out[:showscale] = false
|
||||
else
|
||||
d_out[:colorscale] = plotly_colorscale(series[:fillcolor], series[:fillalpha])
|
||||
d_out[:opacity] = series[:fillalpha]
|
||||
if series[:fill_z] != nothing
|
||||
d_out[:surfacecolor] = plotly_surface_data(series, series[:fill_z])
|
||||
end
|
||||
d_out[:showscale] = sp[:legend] != :none
|
||||
end
|
||||
|
||||
elseif st == :pie
|
||||
@@ -546,7 +555,7 @@ function plotly_series(plt::Plot, series::Series)
|
||||
else
|
||||
# grad = ColorGradient(series[:markercolor], alpha=series[:markeralpha])
|
||||
grad = as_gradient(series[:markercolor], series[:markeralpha])
|
||||
zmin, zmax = ignoreNaN_extrema(series[:marker_z])
|
||||
zmin, zmax = ignorenan_extrema(series[:marker_z])
|
||||
zrange = zmax == zmin ? 1 : zmax - zmin # if all marker_z values are the same, plot all markers same color (avoids division by zero in next line)
|
||||
[rgba_string(grad[(zi - zmin) / zrange]) for zi in series[:marker_z]]
|
||||
end
|
||||
@@ -572,7 +581,19 @@ function plotly_series(plt::Plot, series::Series)
|
||||
plotly_polar!(d_out, series)
|
||||
plotly_hover!(d_out, series[:hover])
|
||||
|
||||
[d_out]
|
||||
if hasfillrange
|
||||
# if hasfillrange is true, return two dictionaries (one for original
|
||||
# series, one for series being filled to) instead of one
|
||||
d_out_fillrange = copy(d_out)
|
||||
d_out_fillrange[:y] = series[:fillrange]
|
||||
d_out_fillrange[:showlegend] = false
|
||||
delete!(d_out_fillrange, :fill)
|
||||
delete!(d_out_fillrange, :fillcolor)
|
||||
|
||||
return [d_out_fillrange, d_out]
|
||||
else
|
||||
return [d_out]
|
||||
end
|
||||
end
|
||||
|
||||
function plotly_series_shapes(plt::Plot, series::Series)
|
||||
@@ -600,18 +621,18 @@ function plotly_series_shapes(plt::Plot, series::Series)
|
||||
:x => vcat(x[rng], x[rng[1]]),
|
||||
:y => vcat(y[rng], y[rng[1]]),
|
||||
:fill => "tozeroy",
|
||||
:fillcolor => rgba_string(cycle(series[:fillcolor], i)),
|
||||
:fillcolor => rgba_string(_cycle(series[:fillcolor], i)),
|
||||
))
|
||||
if series[:markerstrokewidth] > 0
|
||||
d_out[:line] = KW(
|
||||
:color => rgba_string(cycle(series[:linecolor], i)),
|
||||
:color => rgba_string(_cycle(series[:linecolor], i)),
|
||||
:width => series[:linewidth],
|
||||
:dash => string(series[:linestyle]),
|
||||
)
|
||||
end
|
||||
d_out[:showlegend] = i==1 ? should_add_to_legend(series) : false
|
||||
plotly_polar!(d_out, series)
|
||||
plotly_hover!(d_out, cycle(series[:hover], i))
|
||||
plotly_hover!(d_out, _cycle(series[:hover], i))
|
||||
push!(d_outs, d_out)
|
||||
end
|
||||
d_outs
|
||||
|
||||
+56
-47
@@ -70,18 +70,26 @@ function _initialize_backend(::PyPlotBackend)
|
||||
append!(Base.Multimedia.displays, otherdisplays)
|
||||
|
||||
export PyPlot
|
||||
const pycolors = PyPlot.pywrap(PyPlot.pyimport("matplotlib.colors"))
|
||||
const pypath = PyPlot.pywrap(PyPlot.pyimport("matplotlib.path"))
|
||||
const mplot3d = PyPlot.pywrap(PyPlot.pyimport("mpl_toolkits.mplot3d"))
|
||||
const pypatches = PyPlot.pywrap(PyPlot.pyimport("matplotlib.patches"))
|
||||
const pyfont = PyPlot.pywrap(PyPlot.pyimport("matplotlib.font_manager"))
|
||||
const pyticker = PyPlot.pywrap(PyPlot.pyimport("matplotlib.ticker"))
|
||||
const pycmap = PyPlot.pywrap(PyPlot.pyimport("matplotlib.cm"))
|
||||
const pynp = PyPlot.pywrap(PyPlot.pyimport("numpy"))
|
||||
pynp.seterr(invalid="ignore")
|
||||
const pytransforms = PyPlot.pywrap(PyPlot.pyimport("matplotlib.transforms"))
|
||||
const pycollections = PyPlot.pywrap(PyPlot.pyimport("matplotlib.collections"))
|
||||
const pyart3d = PyPlot.pywrap(PyPlot.pyimport("mpl_toolkits.mplot3d.art3d"))
|
||||
const pycolors = PyPlot.pyimport("matplotlib.colors")
|
||||
const pypath = PyPlot.pyimport("matplotlib.path")
|
||||
const mplot3d = PyPlot.pyimport("mpl_toolkits.mplot3d")
|
||||
const pypatches = PyPlot.pyimport("matplotlib.patches")
|
||||
const pyfont = PyPlot.pyimport("matplotlib.font_manager")
|
||||
const pyticker = PyPlot.pyimport("matplotlib.ticker")
|
||||
const pycmap = PyPlot.pyimport("matplotlib.cm")
|
||||
const pynp = PyPlot.pyimport("numpy")
|
||||
pynp["seterr"](invalid="ignore")
|
||||
const pytransforms = PyPlot.pyimport("matplotlib.transforms")
|
||||
const pycollections = PyPlot.pyimport("matplotlib.collections")
|
||||
const pyart3d = PyPlot.pyimport("mpl_toolkits.mplot3d.art3d")
|
||||
|
||||
# "support" matplotlib v1.5
|
||||
const set_facecolor_sym = if PyPlot.version < v"2"
|
||||
warn("You are using Matplotlib $(PyPlot.version), which is no longer officialy supported by the Plots community. To ensure smooth Plots.jl integration update your Matplotlib library to a version >= 2.0.0")
|
||||
:set_axis_bgcolor
|
||||
else
|
||||
:set_facecolor
|
||||
end
|
||||
|
||||
# we don't want every command to update the figure
|
||||
PyPlot.ioff()
|
||||
@@ -101,7 +109,7 @@ end
|
||||
|
||||
# function py_colormap(c::ColorGradient, α=nothing)
|
||||
# pyvals = [(v, py_color(getColorZ(c, v), α)) for v in c.values]
|
||||
# pycolors.pymember("LinearSegmentedColormap")[:from_list]("tmp", pyvals)
|
||||
# pycolors["LinearSegmentedColormap"][:from_list]("tmp", pyvals)
|
||||
# end
|
||||
|
||||
# # convert vectors and ColorVectors to standard ColorGradients
|
||||
@@ -118,7 +126,7 @@ py_color(grad::ColorGradient) = py_color(grad.colors)
|
||||
|
||||
function py_colormap(grad::ColorGradient)
|
||||
pyvals = [(z, py_color(grad[z])) for z in grad.values]
|
||||
cm = pycolors.LinearSegmentedColormap[:from_list]("tmp", pyvals)
|
||||
cm = pycolors["LinearSegmentedColormap"][:from_list]("tmp", pyvals)
|
||||
cm[:set_bad](color=(0,0,0,0.0), alpha=0.0)
|
||||
cm
|
||||
end
|
||||
@@ -127,7 +135,7 @@ py_colormap(c) = py_colormap(cgrad())
|
||||
|
||||
function py_shading(c, z)
|
||||
cmap = py_colormap(c)
|
||||
ls = pycolors.pymember("LightSource")(270,45)
|
||||
ls = pycolors["LightSource"](270,45)
|
||||
ls[:shade](z, cmap, vert_exag=0.1, blend_mode="soft")
|
||||
end
|
||||
|
||||
@@ -151,7 +159,7 @@ function py_marker(marker::Shape)
|
||||
mat[i,2] = y[i]
|
||||
end
|
||||
mat[n+1,:] = mat[1,:]
|
||||
pypath.pymember("Path")(mat)
|
||||
pypath["Path"](mat)
|
||||
end
|
||||
|
||||
const _path_MOVETO = UInt8(1)
|
||||
@@ -177,7 +185,7 @@ const _path_CLOSEPOLY = UInt8(79)
|
||||
# lastnan = nan
|
||||
# end
|
||||
# codes[n+1] = _path_CLOSEPOLY
|
||||
# pypath.pymember("Path")(mat, codes)
|
||||
# pypath["Path"](mat, codes)
|
||||
# end
|
||||
|
||||
# get the marker shape
|
||||
@@ -227,14 +235,14 @@ end
|
||||
|
||||
# # untested... return a FontProperties object from a Plots.Font
|
||||
# function py_font(font::Font)
|
||||
# pyfont.pymember("FontProperties")(
|
||||
# pyfont["FontProperties"](
|
||||
# family = font.family,
|
||||
# size = font.size
|
||||
# )
|
||||
# end
|
||||
|
||||
function get_locator_and_formatter(vals::AVec)
|
||||
pyticker.pymember("FixedLocator")(1:length(vals)), pyticker.pymember("FixedFormatter")(vals)
|
||||
pyticker["FixedLocator"](1:length(vals)), pyticker["FixedFormatter"](vals)
|
||||
end
|
||||
|
||||
function add_pyfixedformatter(cbar, vals::AVec)
|
||||
@@ -256,9 +264,9 @@ function labelfunc(scale::Symbol, backend::PyPlotBackend)
|
||||
end
|
||||
|
||||
function py_mask_nans(z)
|
||||
# PyPlot.pywrap(pynp.ma[:masked_invalid](PyPlot.pywrap(z)))
|
||||
PyCall.pycall(pynp.ma[:masked_invalid], Any, z)
|
||||
# pynp.ma[:masked_where](pynp.isnan(z),z)
|
||||
# pynp["ma"][:masked_invalid](z)))
|
||||
PyCall.pycall(pynp["ma"][:masked_invalid], Any, z)
|
||||
# pynp["ma"][:masked_where](pynp["isnan"](z),z)
|
||||
end
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -489,30 +497,30 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
extrakw = KW()
|
||||
isfinite(clims[1]) && (extrakw[:vmin] = clims[1])
|
||||
isfinite(clims[2]) && (extrakw[:vmax] = clims[2])
|
||||
kw[:norm] = pycolors.Normalize(; extrakw...)
|
||||
kw[:norm] = pycolors["Normalize"](; extrakw...)
|
||||
end
|
||||
lz = collect(series[:line_z])
|
||||
handle = if is3d(st)
|
||||
for rng in iter_segments(x, y, z)
|
||||
length(rng) < 2 && continue
|
||||
push!(segments, [(cycle(x,i),cycle(y,i),cycle(z,i)) for i in rng])
|
||||
push!(segments, [(_cycle(x,i),_cycle(y,i),_cycle(z,i)) for i in rng])
|
||||
end
|
||||
# for i=1:n
|
||||
# segments[i] = [(cycle(x,i), cycle(y,i), cycle(z,i)), (cycle(x,i+1), cycle(y,i+1), cycle(z,i+1))]
|
||||
# segments[i] = [(_cycle(x,i), _cycle(y,i), _cycle(z,i)), (_cycle(x,i+1), _cycle(y,i+1), _cycle(z,i+1))]
|
||||
# end
|
||||
lc = pyart3d.Line3DCollection(segments; kw...)
|
||||
lc = pyart3d["Line3DCollection"](segments; kw...)
|
||||
lc[:set_array](lz)
|
||||
ax[:add_collection3d](lc, zs=z) #, zdir='y')
|
||||
lc
|
||||
else
|
||||
for rng in iter_segments(x, y)
|
||||
length(rng) < 2 && continue
|
||||
push!(segments, [(cycle(x,i),cycle(y,i)) for i in rng])
|
||||
push!(segments, [(_cycle(x,i),_cycle(y,i)) for i in rng])
|
||||
end
|
||||
# for i=1:n
|
||||
# segments[i] = [(cycle(x,i), cycle(y,i)), (cycle(x,i+1), cycle(y,i+1))]
|
||||
# segments[i] = [(_cycle(x,i), _cycle(y,i)), (_cycle(x,i+1), _cycle(y,i+1))]
|
||||
# end
|
||||
lc = pycollections.LineCollection(segments; kw...)
|
||||
lc = pycollections["LineCollection"](segments; kw...)
|
||||
lc[:set_array](lz)
|
||||
ax[:add_collection](lc)
|
||||
lc
|
||||
@@ -581,16 +589,16 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
lw = py_dpi_scale(plt, series[:markerstrokewidth])
|
||||
for i=1:length(y)
|
||||
extrakw[:c] = if series[:marker_z] == nothing
|
||||
py_color_fix(py_color(cycle(series[:markercolor],i)), x)
|
||||
py_color_fix(py_color(_cycle(series[:markercolor],i)), x)
|
||||
else
|
||||
extrakw[:c]
|
||||
end
|
||||
|
||||
push!(handle, ax[:scatter](cycle(x,i), cycle(y,i);
|
||||
push!(handle, ax[:scatter](_cycle(x,i), _cycle(y,i);
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex] + 0.5,
|
||||
marker = py_marker(cycle(shapes,i)),
|
||||
s = py_dpi_scale(plt, cycle(series[:markersize],i) .^ 2),
|
||||
marker = py_marker(_cycle(shapes,i)),
|
||||
s = py_dpi_scale(plt, _cycle(series[:markersize],i) .^ 2),
|
||||
edgecolors = msc,
|
||||
linewidths = lw,
|
||||
extrakw...
|
||||
@@ -705,11 +713,11 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
# contours on the axis planes
|
||||
if series[:contours]
|
||||
for (zdir,mat) in (("x",x), ("y",y), ("z",z))
|
||||
offset = (zdir == "y" ? ignoreNaN_maximum : ignoreNaN_minimum)(mat)
|
||||
offset = (zdir == "y" ? ignorenan_maximum : ignorenan_minimum)(mat)
|
||||
handle = ax[:contourf](x, y, z, levelargs...;
|
||||
zdir = zdir,
|
||||
cmap = py_fillcolormap(series),
|
||||
offset = (zdir == "y" ? ignoreNaN_maximum : ignoreNaN_minimum)(mat) # where to draw the contour plane
|
||||
offset = (zdir == "y" ? ignorenan_maximum : ignorenan_minimum)(mat) # where to draw the contour plane
|
||||
)
|
||||
push!(handles, handle)
|
||||
needs_colorbar = true
|
||||
@@ -768,7 +776,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
end
|
||||
|
||||
if st == :heatmap
|
||||
x, y, z = heatmap_edges(x), heatmap_edges(y), transpose_z(series, z.surf)
|
||||
x, y, z = heatmap_edges(x, sp[:xaxis][:scale]), heatmap_edges(y, sp[:yaxis][:scale]), transpose_z(series, z.surf)
|
||||
|
||||
expand_extrema!(sp[:xaxis], x)
|
||||
expand_extrema!(sp[:yaxis], y)
|
||||
@@ -778,7 +786,7 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
end
|
||||
|
||||
clims = sp[:clims]
|
||||
zmin, zmax = ignoreNaN_extrema(z)
|
||||
zmin, zmax = ignorenan_extrema(z)
|
||||
extrakw[:vmin] = (is_2tuple(clims) && isfinite(clims[1])) ? clims[1] : zmin
|
||||
extrakw[:vmax] = (is_2tuple(clims) && isfinite(clims[2])) ? clims[2] : zmax
|
||||
|
||||
@@ -797,13 +805,13 @@ function py_add_series(plt::Plot{PyPlotBackend}, series::Series)
|
||||
handle = []
|
||||
for (i,rng) in enumerate(iter_segments(x, y))
|
||||
if length(rng) > 1
|
||||
path = pypath.pymember("Path")(hcat(x[rng], y[rng]))
|
||||
patches = pypatches.pymember("PathPatch")(
|
||||
path = pypath["Path"](hcat(x[rng], y[rng]))
|
||||
patches = pypatches["PathPatch"](
|
||||
path;
|
||||
label = series[:label],
|
||||
zorder = series[:series_plotindex],
|
||||
edgecolor = py_color(cycle(series[:linecolor], i)),
|
||||
facecolor = py_color(cycle(series[:fillcolor], i)),
|
||||
edgecolor = py_color(_cycle(series[:linecolor], i)),
|
||||
facecolor = py_color(_cycle(series[:fillcolor], i)),
|
||||
linewidth = py_dpi_scale(plt, series[:linewidth]),
|
||||
fill = true
|
||||
)
|
||||
@@ -926,7 +934,7 @@ function py_compute_axis_minval(axis::Axis)
|
||||
for series in series_list(sp)
|
||||
v = series.d[axis[:letter]]
|
||||
if !isempty(v)
|
||||
minval = NaNMath.min(minval, ignoreNaN_minimum(abs(v)))
|
||||
minval = NaNMath.min(minval, ignorenan_minimum(abs.(v)))
|
||||
end
|
||||
end
|
||||
end
|
||||
@@ -985,7 +993,7 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
fig[:clear]()
|
||||
dpi = plt[:dpi]
|
||||
fig[:set_size_inches](w/dpi, h/dpi, forward = true)
|
||||
fig[:set_facecolor](py_color(plt[:background_color_outside]))
|
||||
fig[set_facecolor_sym](py_color(plt[:background_color_outside]))
|
||||
fig[:set_dpi](dpi)
|
||||
|
||||
# resize the window
|
||||
@@ -1074,7 +1082,7 @@ function _before_layout_calcs(plt::Plot{PyPlotBackend})
|
||||
py_add_legend(plt, sp, ax)
|
||||
|
||||
# this sets the bg color inside the grid
|
||||
ax[:set_facecolor](py_color(sp[:background_color_inside]))
|
||||
ax[set_facecolor_sym](py_color(sp[:background_color_inside]))
|
||||
end
|
||||
py_drawfig(fig)
|
||||
end
|
||||
@@ -1166,7 +1174,7 @@ function py_add_legend(plt::Plot, sp::Subplot, ax)
|
||||
# add a line/marker and a label
|
||||
push!(handles, if series[:seriestype] == :shape
|
||||
PyPlot.plt[:Line2D]((0,1),(0,0),
|
||||
color = py_color(cycle(series[:fillcolor],1)),
|
||||
color = py_color(_cycle(series[:fillcolor],1)),
|
||||
linewidth = py_dpi_scale(plt, 4)
|
||||
)
|
||||
else
|
||||
@@ -1196,7 +1204,7 @@ function py_add_legend(plt::Plot, sp::Subplot, ax)
|
||||
|
||||
# set some legend properties
|
||||
frame = leg[:get_frame]()
|
||||
frame[:set_facecolor](py_color(sp[:background_color_legend]))
|
||||
frame[set_facecolor_sym](py_color(sp[:background_color_legend]))
|
||||
frame[:set_edgecolor](fgcolor)
|
||||
end
|
||||
end
|
||||
@@ -1220,7 +1228,8 @@ function _update_plot_object(plt::Plot{PyPlotBackend})
|
||||
if haskey(sp.attr, :cbar_ax)
|
||||
cbw = sp.attr[:cbar_width]
|
||||
# this is the bounding box of just the colors of the colorbar (not labels)
|
||||
cb_bbox = BoundingBox(right(sp.bbox)-cbw+1mm, top(sp.bbox)+2mm, _cbar_width-1mm, height(sp.bbox)-4mm)
|
||||
has_toplabel = sp[:zaxis][:extrema].emax >= 1e7
|
||||
cb_bbox = BoundingBox(right(sp.bbox)-cbw+1mm, top(sp.bbox) + (has_toplabel ? 4mm : 2mm), _cbar_width-1mm, height(sp.bbox) - (has_toplabel ? 6mm : 4mm))
|
||||
pcts = bbox_to_pcts(cb_bbox, figw, figh)
|
||||
sp.attr[:cbar_ax][:set_position](pcts)
|
||||
end
|
||||
|
||||
+28
-7
@@ -297,12 +297,33 @@ function scalefontsize(k::Symbol, factor::Number)
|
||||
f.pointsize = round(Int, factor * f.pointsize)
|
||||
default(k, f)
|
||||
end
|
||||
|
||||
"""
|
||||
scalefontsizes(factor::Number)
|
||||
|
||||
Scales all **current** font sizes by `factor`. For example `scalefontsizes(1.1)` increases all current font sizes by 10%. To reset to initial sizes, use `scalefontsizes()`
|
||||
"""
|
||||
function scalefontsizes(factor::Number)
|
||||
for k in (:titlefont, :guidefont, :tickfont, :legendfont)
|
||||
scalefontsize(k, factor)
|
||||
end
|
||||
end
|
||||
|
||||
"""
|
||||
scalefontsizes()
|
||||
|
||||
Resets font sizes to initial default values.
|
||||
"""
|
||||
function scalefontsizes()
|
||||
for k in (:titlefont, :guidefont, :tickfont, :legendfont)
|
||||
f = default(k)
|
||||
if k in keys(_initial_fontsizes)
|
||||
factor = f.pointsize / _initial_fontsizes[k]
|
||||
scalefontsize(k, 1.0/factor)
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
"Wrap a string with font info"
|
||||
immutable PlotText
|
||||
str::AbstractString
|
||||
@@ -446,7 +467,7 @@ function series_annotations_shapes!(series::Series, scaletype::Symbol = :pixels)
|
||||
msw,msh = anns.scalefactor
|
||||
msize = Float64[]
|
||||
shapes = Shape[begin
|
||||
str = cycle(anns.strs,i)
|
||||
str = _cycle(anns.strs,i)
|
||||
|
||||
# get the width and height of the string (in mm)
|
||||
sw, sh = text_size(str, anns.font.pointsize)
|
||||
@@ -462,7 +483,7 @@ function series_annotations_shapes!(series::Series, scaletype::Symbol = :pixels)
|
||||
# and then re-scale a copy of baseshape to match the w/h ratio
|
||||
maxscale = max(xscale, yscale)
|
||||
push!(msize, maxscale)
|
||||
baseshape = cycle(get(anns.baseshape),i)
|
||||
baseshape = _cycle(get(anns.baseshape),i)
|
||||
shape = scale(baseshape, msw*xscale/maxscale, msh*yscale/maxscale, (0,0))
|
||||
end for i=1:length(anns.strs)]
|
||||
series[:markershape] = shapes
|
||||
@@ -479,13 +500,13 @@ end
|
||||
Base.start(ea::EachAnn) = 1
|
||||
Base.done(ea::EachAnn, i) = ea.anns == nothing || isempty(ea.anns.strs) || i > length(ea.y)
|
||||
function Base.next(ea::EachAnn, i)
|
||||
tmp = cycle(ea.anns.strs,i)
|
||||
tmp = _cycle(ea.anns.strs,i)
|
||||
str,fnt = if isa(tmp, PlotText)
|
||||
tmp.str, tmp.font
|
||||
else
|
||||
tmp, ea.anns.font
|
||||
end
|
||||
((cycle(ea.x,i), cycle(ea.y,i), str, fnt), i+1)
|
||||
((_cycle(ea.x,i), _cycle(ea.y,i), str, fnt), i+1)
|
||||
end
|
||||
|
||||
annotations(::Void) = []
|
||||
@@ -501,13 +522,13 @@ immutable ZValues
|
||||
zrange::Tuple{Float64,Float64}
|
||||
end
|
||||
|
||||
function zvalues{T<:Real}(values::AVec{T}, zrange::Tuple{T,T} = (ignoreNaN_minimum(values), ignoreNaN_maximum(values)))
|
||||
function zvalues{T<:Real}(values::AVec{T}, zrange::Tuple{T,T} = (ignorenan_minimum(values), ignorenan_maximum(values)))
|
||||
ZValues(collect(float(values)), map(Float64, zrange))
|
||||
end
|
||||
|
||||
# -----------------------------------------------------------------------
|
||||
|
||||
abstract AbstractSurface
|
||||
abstract type AbstractSurface end
|
||||
|
||||
"represents a contour or surface mesh"
|
||||
immutable Surface{M<:AMat} <: AbstractSurface
|
||||
@@ -659,7 +680,7 @@ function directed_curve(args...; kw...)
|
||||
end
|
||||
|
||||
function extrema_plus_buffer(v, buffmult = 0.2)
|
||||
vmin,vmax = ignoreNaN_extrema(v)
|
||||
vmin,vmax = ignorenan_extrema(v)
|
||||
vdiff = vmax-vmin
|
||||
buffer = vdiff * buffmult
|
||||
vmin - buffer, vmax + buffer
|
||||
|
||||
@@ -84,7 +84,7 @@ function make_polygon(geom::ShapeGeometry, xs::AbstractArray, ys::AbstractArray,
|
||||
x = Compose.x_measure(xs[mod1(i, length(xs))])
|
||||
y = Compose.y_measure(ys[mod1(i, length(ys))])
|
||||
r = rs[mod1(i, length(rs))]
|
||||
polys[i] = T[(x + r * sx, y + r * sy) for (sx,sy) in cycle(geom.vertices, i)]
|
||||
polys[i] = T[(x + r * sx, y + r * sy) for (sx,sy) in _cycle(geom.vertices, i)]
|
||||
end
|
||||
Gadfly.polygon(polys, geom.tag)
|
||||
end
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
|
||||
abstract ColorScheme
|
||||
abstract type ColorScheme end
|
||||
|
||||
Base.getindex(scheme::ColorScheme, i::Integer) = getColor(scheme, i)
|
||||
|
||||
|
||||
+10
-9
@@ -41,7 +41,7 @@ PlotExample("Colors",
|
||||
[:(begin
|
||||
y = rand(100)
|
||||
plot(0:10:100,rand(11,4),lab="lines",w=3,palette=:grays,fill=0, α=0.6)
|
||||
scatter!(y, zcolor=abs(y-.5), m=(:heat,0.8,stroke(1,:green)), ms=10*abs(y-0.5)+4, lab="grad")
|
||||
scatter!(y, zcolor=abs.(y-.5), m=(:heat,0.8,stroke(1,:green)), ms=10*abs.(y-0.5)+4, lab="grad")
|
||||
end)]
|
||||
),
|
||||
|
||||
@@ -66,8 +66,8 @@ PlotExample("Global",
|
||||
PlotExample("Images",
|
||||
"Plot an image. y-axis is set to flipped",
|
||||
[:(begin
|
||||
import Images
|
||||
img = Images.load(Pkg.dir("PlotReferenceImages","Plots","pyplot","0.7.0","ref1.png"))
|
||||
import FileIO
|
||||
img = FileIO.load(Pkg.dir("PlotReferenceImages","Plots","pyplot","0.7.0","ref1.png"))
|
||||
plot(img)
|
||||
end)]
|
||||
),
|
||||
@@ -119,17 +119,18 @@ PlotExample("Line styles",
|
||||
styles = reshape(styles, 1, length(styles)) # Julia 0.6 unfortunately gives an error when transposing symbol vectors
|
||||
n = length(styles)
|
||||
y = cumsum(randn(20,n),1)
|
||||
plot(y, line = (5, styles), label = map(string,styles))
|
||||
plot(y, line = (5, styles), label = map(string,styles), legendtitle = "linestyle")
|
||||
end)]
|
||||
),
|
||||
|
||||
PlotExample("Marker types",
|
||||
"",
|
||||
[:(begin
|
||||
markers = filter(m -> m in Plots.supported_markers(), Plots._shape_keys)'
|
||||
markers = filter(m -> m in Plots.supported_markers(), Plots._shape_keys)
|
||||
markers = reshape(markers, 1, length(markers))
|
||||
n = length(markers)
|
||||
x = linspace(0,10,n+2)[2:end-1]
|
||||
y = repmat(reverse(x)', n, 1)
|
||||
y = repmat(reshape(reverse(x),1,:), n, 1)
|
||||
scatter(x, y, m=(8,:auto), lab=map(string,markers), bg=:linen, xlim=(0,10), ylim=(0,10))
|
||||
end)]
|
||||
),
|
||||
@@ -215,7 +216,7 @@ PlotExample("Contours",
|
||||
x = 1:0.5:20
|
||||
y = 1:0.5:10
|
||||
f(x,y) = (3x+y^2)*abs(sin(x)+cos(y))
|
||||
X = repmat(x', length(y), 1)
|
||||
X = repmat(reshape(x,1,:), length(y), 1)
|
||||
Y = repmat(y, 1, length(x))
|
||||
Z = map(f, X, Y)
|
||||
p1 = contour(x, y, f, fill=true)
|
||||
@@ -269,7 +270,7 @@ PlotExample("Polar Plots",
|
||||
"",
|
||||
[:(begin
|
||||
Θ = linspace(0,1.5π,100)
|
||||
r = abs(0.1randn(100)+sin(3Θ))
|
||||
r = abs.(0.1randn(100)+sin.(3Θ))
|
||||
plot(Θ, r, proj=:polar, m=2)
|
||||
end)]
|
||||
),
|
||||
@@ -279,7 +280,7 @@ PlotExample("Heatmap, categorical axes, and aspect_ratio",
|
||||
[:(begin
|
||||
xs = [string("x",i) for i=1:10]
|
||||
ys = [string("y",i) for i=1:4]
|
||||
z = float((1:4)*(1:10)')
|
||||
z = float((1:4)*reshape(1:10,1,:))
|
||||
heatmap(xs, ys, z, aspect_ratio=1)
|
||||
end)]
|
||||
),
|
||||
|
||||
+3
-3
@@ -9,8 +9,8 @@ to_pixels(m::AbsoluteLength) = m.value / 0.254
|
||||
|
||||
const _cbar_width = 5mm
|
||||
|
||||
Base.:.*(m::Measure, n::Number) = m * n
|
||||
Base.:.*(n::Number, m::Measure) = m * n
|
||||
Base.broadcast(::typeof(Base.:.*), m::Measure, n::Number) = m * n
|
||||
Base.broadcast(::typeof(Base.:.*), m::Number, n::Measure) = m * n
|
||||
Base.:-(m::Measure, a::AbstractArray) = map(ai -> m - ai, a)
|
||||
Base.:-(a::AbstractArray, m::Measure) = map(ai -> ai - m, a)
|
||||
Base.zero(::Type{typeof(mm)}) = 0mm
|
||||
@@ -704,7 +704,7 @@ function link_axes!(axes::Axis...)
|
||||
a1 = axes[1]
|
||||
for i=2:length(axes)
|
||||
a2 = axes[i]
|
||||
expand_extrema!(a1, ignoreNaN_extrema(a2))
|
||||
expand_extrema!(a1, ignorenan_extrema(a2))
|
||||
for k in (:extrema, :discrete_values, :continuous_values, :discrete_map)
|
||||
a2[k] = a1[k]
|
||||
end
|
||||
|
||||
+39
-44
@@ -220,14 +220,10 @@ if is_installed("FileIO")
|
||||
FileIO.save(pngfn, s)
|
||||
|
||||
# now write from the file
|
||||
write(io, readall(open(pngfn)))
|
||||
write(io, readstring(open(pngfn)))
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# function html_output_format(fmt)
|
||||
# if fmt == "png"
|
||||
# @eval function Base.show(io::IO, ::MIME"text/html", plt::Plot)
|
||||
@@ -250,76 +246,75 @@ end
|
||||
|
||||
const _ijulia_output = String["text/html"]
|
||||
|
||||
function setup_ijulia()
|
||||
# override IJulia inline display
|
||||
if isijulia()
|
||||
@eval begin
|
||||
import IJulia
|
||||
export set_ijulia_output
|
||||
function set_ijulia_output(mimestr::AbstractString)
|
||||
# info("Setting IJulia output format to $mimestr")
|
||||
global _ijulia_output
|
||||
_ijulia_output[1] = mimestr
|
||||
end
|
||||
function IJulia.display_dict(plt::Plot)
|
||||
global _ijulia_output
|
||||
Dict{String, String}(_ijulia_output[1] => sprint(show, _ijulia_output[1], plt))
|
||||
end
|
||||
using Requires
|
||||
@require IJulia begin
|
||||
if IJulia.inited
|
||||
export set_ijulia_output
|
||||
|
||||
# default text/plain passes to html... handles Interact issues
|
||||
function Base.show(io::IO, m::MIME"text/plain", plt::Plot)
|
||||
show(io, MIME("text/html"), plt)
|
||||
end
|
||||
function set_ijulia_output(mimestr::AbstractString)
|
||||
# info("Setting IJulia output format to $mimestr")
|
||||
global _ijulia_output
|
||||
_ijulia_output[1] = mimestr
|
||||
end
|
||||
@eval set_ijulia_output("text/html")
|
||||
function IJulia.display_dict(plt::Plot)
|
||||
global _ijulia_output
|
||||
Dict{String, String}(_ijulia_output[1] => sprint(show, _ijulia_output[1], plt))
|
||||
end
|
||||
|
||||
# default text/plain passes to html... handles Interact issues
|
||||
function Base.show(io::IO, m::MIME"text/plain", plt::Plot)
|
||||
show(io, MIME("text/html"), plt)
|
||||
end
|
||||
|
||||
set_ijulia_output("text/html")
|
||||
end
|
||||
end
|
||||
|
||||
# ---------------------------------------------------------
|
||||
# Atom PlotPane
|
||||
# ---------------------------------------------------------
|
||||
@require Juno begin
|
||||
import Hiccup, Media
|
||||
|
||||
function setup_atom()
|
||||
if isatom()
|
||||
@eval import Atom, Media
|
||||
if Juno.isactive()
|
||||
Media.media(Plot, Media.Plot)
|
||||
|
||||
# default text/plain so it doesn't complain
|
||||
function Base.show{B}(io::IO, ::MIME"text/plain", plt::Plot{B})
|
||||
print(io, "Plot{$B}()")
|
||||
end
|
||||
|
||||
function Media.render(e::Atom.Editor, plt::Plot)
|
||||
Media.render(e, nothing)
|
||||
_show{B}(io::IO, m::MIME"text/plain", plt::Plot{B}) = print(io, "Plot{$B}()")
|
||||
|
||||
function Juno.render(e::Juno.Editor, plt::Plot)
|
||||
Juno.render(e, nothing)
|
||||
end
|
||||
|
||||
if get(ENV, "PLOTS_USE_ATOM_PLOTPANE", true) in (true, 1, "1", "true", "yes")
|
||||
# this is like "display"... sends an html div with the plot to the PlotPane
|
||||
function Media.render(pane::Atom.PlotPane, plt::Plot)
|
||||
function Juno.render(pane::Juno.PlotPane, plt::Plot)
|
||||
# temporarily overwrite size to be Atom.plotsize
|
||||
sz = plt[:size]
|
||||
plt[:size] = Juno.plotsize()
|
||||
Media.render(pane, Atom.div(".fill", Atom.HTML(stringmime(MIME("text/html"), plt))))
|
||||
jsize = Juno.plotsize()
|
||||
jsize[1] == 0 && (jsize[1] = 400)
|
||||
jsize[2] == 0 && (jsize[2] = 500)
|
||||
|
||||
plt[:size] = jsize
|
||||
Juno.render(pane, HTML(stringmime(MIME("text/html"), plt)))
|
||||
plt[:size] = sz
|
||||
end
|
||||
# special handling for PlotlyJS
|
||||
function Media.render(pane::Atom.PlotPane, plt::Plot{PlotlyJSBackend})
|
||||
function Juno.render(pane::Juno.PlotPane, plt::Plot{PlotlyJSBackend})
|
||||
display(Plots.PlotsDisplay(), plt)
|
||||
end
|
||||
else
|
||||
#
|
||||
function Media.render(pane::Atom.PlotPane, plt::Plot)
|
||||
function Juno.render(pane::Juno.PlotPane, plt::Plot)
|
||||
display(Plots.PlotsDisplay(), plt)
|
||||
s = "PlotPane turned off. Unset ENV[\"PLOTS_USE_ATOM_PLOTPANE\"] and restart Julia to enable it."
|
||||
Media.render(pane, Atom.div(Atom.HTML(s)))
|
||||
Juno.render(pane, HTML(s))
|
||||
end
|
||||
end
|
||||
|
||||
# special handling for plotly... use PlotsDisplay
|
||||
function Media.render(pane::Atom.PlotPane, plt::Plot{PlotlyBackend})
|
||||
function Juno.render(pane::Juno.PlotPane, plt::Plot{PlotlyBackend})
|
||||
display(Plots.PlotsDisplay(), plt)
|
||||
s = "PlotPane turned off. The plotly backend cannot render in the PlotPane due to javascript issues. Plotlyjs is similar to plotly and is compatible with the plot pane."
|
||||
Media.render(pane, Atom.div(Atom.HTML(s)))
|
||||
Juno.render(pane, HTML(s))
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
+2
-2
@@ -153,7 +153,7 @@ function _add_smooth_kw(kw_list::Vector{KW}, kw::KW)
|
||||
if get(kw, :smooth, false)
|
||||
x, y = kw[:x], kw[:y]
|
||||
β, α = convert(Matrix{Float64}, [x ones(length(x))]) \ convert(Vector{Float64}, y)
|
||||
sx = [ignoreNaN_minimum(x), ignoreNaN_maximum(x)]
|
||||
sx = [ignorenan_minimum(x), ignorenan_maximum(x)]
|
||||
sy = β * sx + α
|
||||
push!(kw_list, merge(copy(kw), KW(
|
||||
:seriestype => :path,
|
||||
@@ -262,7 +262,7 @@ function _subplot_setup(plt::Plot, d::KW, kw_list::Vector{KW})
|
||||
for kw in kw_list
|
||||
# get the Subplot object to which the series belongs.
|
||||
sps = get(kw, :subplot, :auto)
|
||||
sp = get_subplot(plt, cycle(sps == :auto ? plt.subplots : plt.subplots[sps], command_idx(kw_list,kw)))
|
||||
sp = get_subplot(plt, _cycle(sps == :auto ? plt.subplots : plt.subplots[sps], command_idx(kw_list,kw)))
|
||||
kw[:subplot] = sp
|
||||
|
||||
# extract subplot/axis attributes from kw and add to sp_attr
|
||||
|
||||
+1
-1
@@ -60,7 +60,7 @@ function plot(plt1::Plot, plts_tail::Plot...; kw...)
|
||||
|
||||
# build our plot vector from the args
|
||||
n = length(plts_tail) + 1
|
||||
plts = Array(Plot, n)
|
||||
plts = Array{Plot}(n)
|
||||
plts[1] = plt1
|
||||
for (i,plt) in enumerate(plts_tail)
|
||||
plts[i+1] = plt
|
||||
|
||||
+38
-87
@@ -1,53 +1,4 @@
|
||||
|
||||
|
||||
|
||||
"""
|
||||
You can easily define your own plotting recipes with convenience methods:
|
||||
|
||||
```
|
||||
@userplot type GroupHist
|
||||
args
|
||||
end
|
||||
|
||||
@recipe function f(gh::GroupHist)
|
||||
# set some attributes, add some series, using gh.args as input
|
||||
end
|
||||
|
||||
# now you can plot like:
|
||||
grouphist(rand(1000,4))
|
||||
```
|
||||
"""
|
||||
macro userplot(expr)
|
||||
_userplot(expr)
|
||||
end
|
||||
|
||||
function _userplot(expr::Expr)
|
||||
if expr.head != :type
|
||||
errror("Must call userplot on a type/immutable expression. Got: $expr")
|
||||
end
|
||||
|
||||
typename = expr.args[2]
|
||||
funcname = Symbol(lowercase(string(typename)))
|
||||
funcname2 = Symbol(funcname, "!")
|
||||
|
||||
# return a code block with the type definition and convenience plotting methods
|
||||
esc(quote
|
||||
$expr
|
||||
export $funcname, $funcname2
|
||||
$funcname(args...; kw...) = plot($typename(args); kw...)
|
||||
$funcname2(args...; kw...) = plot!($typename(args); kw...)
|
||||
end)
|
||||
end
|
||||
|
||||
function _userplot(sym::Symbol)
|
||||
_userplot(:(type $sym
|
||||
args
|
||||
end))
|
||||
end
|
||||
|
||||
|
||||
# ----------------------------------------------------------------------------------
|
||||
|
||||
const _series_recipe_deps = Dict()
|
||||
|
||||
function series_recipe_dependencies(st::Symbol, deps::Symbol...)
|
||||
@@ -96,7 +47,7 @@ end
|
||||
num_series(x::AMat) = size(x,2)
|
||||
num_series(x) = 1
|
||||
|
||||
RecipesBase.apply_recipe{T}(d::KW, ::Type{T}, plt::Plot) = throw(MethodError("Unmatched plot recipe: $T"))
|
||||
RecipesBase.apply_recipe{T}(d::KW, ::Type{T}, plt::AbstractPlot) = throw(MethodError("Unmatched plot recipe: $T"))
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
@@ -225,14 +176,14 @@ end
|
||||
fr = if yaxis[:scale] == :identity
|
||||
0.0
|
||||
else
|
||||
NaNMath.min(axis_limits(yaxis)[1], ignoreNaN_minimum(y))
|
||||
NaNMath.min(axis_limits(yaxis)[1], ignorenan_minimum(y))
|
||||
end
|
||||
end
|
||||
newx, newy = zeros(3n), zeros(3n)
|
||||
for i=1:n
|
||||
rng = 3i-2:3i
|
||||
newx[rng] = [x[i], x[i], NaN]
|
||||
newy[rng] = [cycle(fr,i), y[i], NaN]
|
||||
newy[rng] = [_cycle(fr,i), y[i], NaN]
|
||||
end
|
||||
x := newx
|
||||
y := newy
|
||||
@@ -284,16 +235,16 @@ end
|
||||
for rng in iter_segments(args...)
|
||||
length(rng) < 2 && continue
|
||||
ts = linspace(0, 1, npoints)
|
||||
nanappend!(newx, map(t -> bezier_value(cycle(x,rng), t), ts))
|
||||
nanappend!(newy, map(t -> bezier_value(cycle(y,rng), t), ts))
|
||||
nanappend!(newx, map(t -> bezier_value(_cycle(x,rng), t), ts))
|
||||
nanappend!(newy, map(t -> bezier_value(_cycle(y,rng), t), ts))
|
||||
if z != nothing
|
||||
nanappend!(newz, map(t -> bezier_value(cycle(z,rng), t), ts))
|
||||
nanappend!(newz, map(t -> bezier_value(_cycle(z,rng), t), ts))
|
||||
end
|
||||
if fr != nothing
|
||||
nanappend!(newfr, map(t -> bezier_value(cycle(fr,rng), t), ts))
|
||||
nanappend!(newfr, map(t -> bezier_value(_cycle(fr,rng), t), ts))
|
||||
end
|
||||
# if lz != nothing
|
||||
# lzrng = cycle(lz, rng) # the line_z's for this segment
|
||||
# lzrng = _cycle(lz, rng) # the line_z's for this segment
|
||||
# push!(newlz, 0.0)
|
||||
# append!(newlz, map(t -> lzrng[1+floor(Int, t * (length(rng)-1))], ts))
|
||||
# end
|
||||
@@ -338,9 +289,9 @@ end
|
||||
# compute half-width of bars
|
||||
bw = d[:bar_width]
|
||||
hw = if bw == nothing
|
||||
0.5ignoreNaN_mean(diff(procx))
|
||||
0.5ignorenan_mean(diff(procx))
|
||||
else
|
||||
Float64[0.5cycle(bw,i) for i=1:length(procx)]
|
||||
Float64[0.5_cycle(bw,i) for i=1:length(procx)]
|
||||
end
|
||||
|
||||
# make fillto a vector... default fills to 0
|
||||
@@ -358,15 +309,15 @@ end
|
||||
yi = procy[i]
|
||||
if !isnan(yi)
|
||||
center = procx[i]
|
||||
hwi = cycle(hw,i)
|
||||
fi = cycle(fillto,i)
|
||||
hwi = _cycle(hw,i)
|
||||
fi = _cycle(fillto,i)
|
||||
push!(xseg, center-hwi, center-hwi, center+hwi, center+hwi, center-hwi)
|
||||
push!(yseg, yi, fi, fi, yi, yi)
|
||||
end
|
||||
end
|
||||
|
||||
# widen limits out a bit
|
||||
expand_extrema!(axis, widen(ignoreNaN_extrema(xseg.pts)...))
|
||||
expand_extrema!(axis, widen(ignorenan_extrema(xseg.pts)...))
|
||||
|
||||
# switch back
|
||||
if !isvertical(d)
|
||||
@@ -414,8 +365,8 @@ end
|
||||
|
||||
function _preprocess_binbarlike_weights{T<:AbstractFloat}(::Type{T}, w, wscale::Symbol)
|
||||
w_adj = _scale_adjusted_values(T, w, wscale)
|
||||
w_min = ignoreNaN_minimum(w_adj)
|
||||
w_max = ignoreNaN_maximum(w_adj)
|
||||
w_min = ignorenan_minimum(w_adj)
|
||||
w_max = ignorenan_maximum(w_adj)
|
||||
baseline = _binbarlike_baseline(w_min, wscale)
|
||||
w_adj, baseline
|
||||
end
|
||||
@@ -550,7 +501,7 @@ Plots.@deps stepbins path
|
||||
function _auto_binning_nbins{N}(vs::NTuple{N,AbstractVector}, dim::Integer; mode::Symbol = :auto)
|
||||
_cl(x) = ceil(Int, NaNMath.max(x, one(x)))
|
||||
_iqr(v) = quantile(v, 0.75) - quantile(v, 0.25)
|
||||
_span(v) = ignoreNaN_maximum(v) - ignoreNaN_minimum(v)
|
||||
_span(v) = ignorenan_maximum(v) - ignorenan_minimum(v)
|
||||
|
||||
n_samples = length(linearindices(first(vs)))
|
||||
# Estimator for number of samples in one row/column of bins along each axis:
|
||||
@@ -669,7 +620,7 @@ end
|
||||
edge_x, edge_y, weights = x, y, z.surf
|
||||
|
||||
float_weights = float(weights)
|
||||
if is(float_weights, weights)
|
||||
if float_weights === weights
|
||||
float_weights = deepcopy(float_weights)
|
||||
end
|
||||
for (i, c) in enumerate(float_weights)
|
||||
@@ -752,12 +703,12 @@ end
|
||||
|
||||
function error_coords(xorig, yorig, ebar)
|
||||
# init empty x/y, and zip errors if passed Tuple{Vector,Vector}
|
||||
x, y = Array(float_extended_type(xorig), 0), Array(Float64, 0)
|
||||
x, y = Array{float_extended_type(xorig)}(0), Array{Float64}(0)
|
||||
# for each point, create a line segment from the bottom to the top of the errorbar
|
||||
for i = 1:max(length(xorig), length(yorig))
|
||||
xi = cycle(xorig, i)
|
||||
yi = cycle(yorig, i)
|
||||
ebi = cycle(ebar, i)
|
||||
xi = _cycle(xorig, i)
|
||||
yi = _cycle(yorig, i)
|
||||
ebi = _cycle(ebar, i)
|
||||
nanappend!(x, [xi, xi])
|
||||
e1, e2 = if istuple(ebi)
|
||||
first(ebi), last(ebi)
|
||||
@@ -810,11 +761,11 @@ function quiver_using_arrows(d::KW)
|
||||
x, y = zeros(0), zeros(0)
|
||||
for i = 1:max(length(xorig), length(yorig))
|
||||
# get the starting position
|
||||
xi = cycle(xorig, i)
|
||||
yi = cycle(yorig, i)
|
||||
xi = _cycle(xorig, i)
|
||||
yi = _cycle(yorig, i)
|
||||
|
||||
# get the velocity
|
||||
vi = cycle(velocity, i)
|
||||
vi = _cycle(velocity, i)
|
||||
vx, vy = if istuple(vi)
|
||||
first(vi), last(vi)
|
||||
elseif isscalar(vi)
|
||||
@@ -847,12 +798,12 @@ function quiver_using_hack(d::KW)
|
||||
for i = 1:max(length(xorig), length(yorig))
|
||||
|
||||
# get the starting position
|
||||
xi = cycle(xorig, i)
|
||||
yi = cycle(yorig, i)
|
||||
xi = _cycle(xorig, i)
|
||||
yi = _cycle(yorig, i)
|
||||
p = P2(xi, yi)
|
||||
|
||||
# get the velocity
|
||||
vi = cycle(velocity, i)
|
||||
vi = _cycle(velocity, i)
|
||||
vx, vy = if istuple(vi)
|
||||
first(vi), last(vi)
|
||||
elseif isscalar(vi)
|
||||
@@ -919,7 +870,7 @@ end
|
||||
|
||||
# get the joined vector
|
||||
function get_xy(v::AVec{OHLC}, x = 1:length(v))
|
||||
xdiff = 0.3ignoreNaN_mean(abs(diff(x)))
|
||||
xdiff = 0.3ignorenan_mean(abs.(diff(x)))
|
||||
x_out, y_out = zeros(0), zeros(0)
|
||||
for (i,ohlc) in enumerate(v)
|
||||
ox,oy = get_xy(ohlc, x[i], xdiff)
|
||||
@@ -960,7 +911,7 @@ end
|
||||
|
||||
# "Sparsity plot... heatmap of non-zero values of a matrix"
|
||||
# function spy{T<:Real}(z::AMat{T}; kw...)
|
||||
# mat = map(zi->float(zi!=0), z)'
|
||||
# mat = reshape(map(zi->float(zi!=0), z),1,:)
|
||||
# xn, yn = size(mat)
|
||||
# heatmap(mat; leg=false, yflip=true, aspect_ratio=:equal,
|
||||
# xlim=(0.5, xn+0.5), ylim=(0.5, yn+0.5),
|
||||
@@ -987,8 +938,8 @@ end
|
||||
yflip := true
|
||||
aspect_ratio := 1
|
||||
rs, cs, zs = findnz(z.surf)
|
||||
xlim := ignoreNaN_extrema(cs)
|
||||
ylim := ignoreNaN_extrema(rs)
|
||||
xlim := ignorenan_extrema(cs)
|
||||
ylim := ignorenan_extrema(rs)
|
||||
if d[:markershape] == :none
|
||||
markershape := :circle
|
||||
end
|
||||
@@ -1010,7 +961,7 @@ end
|
||||
|
||||
"Adds a+bx... straight line over the current plot"
|
||||
function abline!(plt::Plot, a, b; kw...)
|
||||
plot!(plt, [ignoreNaN_extrema(plt)...], x -> b + a*x; kw...)
|
||||
plot!(plt, [ignorenan_extrema(plt)...], x -> b + a*x; kw...)
|
||||
end
|
||||
|
||||
abline!(args...; kw...) = abline!(current(), args...; kw...)
|
||||
@@ -1019,11 +970,11 @@ abline!(args...; kw...) = abline!(current(), args...; kw...)
|
||||
# -------------------------------------------------
|
||||
# Dates
|
||||
|
||||
dateformatter(dt) = string(convert(Date, dt))
|
||||
datetimeformatter(dt) = string(convert(DateTime, dt))
|
||||
dateformatter(dt) = string(Date(Dates.UTD(dt)))
|
||||
datetimeformatter(dt) = string(DateTime(Dates.UTM(dt)))
|
||||
|
||||
@recipe f(::Type{Date}, dt::Date) = (dt -> convert(Int, dt), dateformatter)
|
||||
@recipe f(::Type{DateTime}, dt::DateTime) = (dt -> convert(Int, dt), datetimeformatter)
|
||||
@recipe f(::Type{Date}, dt::Date) = (dt -> Dates.value(dt), dateformatter)
|
||||
@recipe f(::Type{DateTime}, dt::DateTime) = (dt -> Dates.value(dt), datetimeformatter)
|
||||
|
||||
# -------------------------------------------------
|
||||
# Complex Numbers
|
||||
@@ -1054,7 +1005,7 @@ end
|
||||
end
|
||||
|
||||
library = PlotUtils.color_libraries[cl.args[1]]
|
||||
z = sqrt.((1:15)*(1:20)')
|
||||
z = sqrt.((1:15)*reshape(1:20,1,:))
|
||||
|
||||
seriestype := :heatmap
|
||||
ticks := nothing
|
||||
@@ -1078,7 +1029,7 @@ end
|
||||
if !(length(grad.args) == 1 && isa(grad.args[1], Symbol))
|
||||
error("showgradient takes the name of a color gradient as a Symbol")
|
||||
end
|
||||
z = sqrt.((1:15)*(1:20)')
|
||||
z = sqrt.((1:15)*reshape(1:20,1,:))
|
||||
seriestype := :heatmap
|
||||
ticks := nothing
|
||||
legend := false
|
||||
|
||||
+2
-2
@@ -6,7 +6,7 @@
|
||||
# This should cut down on boilerplate code and allow more focused dispatch on type
|
||||
# note: returns meta information... mainly for use with automatic labeling from DataFrames for now
|
||||
|
||||
typealias FuncOrFuncs{F} Union{F, Vector{F}, Matrix{F}}
|
||||
const FuncOrFuncs{F} = Union{F, Vector{F}, Matrix{F}}
|
||||
|
||||
all3D(d::KW) = trueOrAllTrue(st -> st in (:contour, :contourf, :heatmap, :surface, :wireframe, :contour3d, :image), get(d, :seriestype, :none))
|
||||
|
||||
@@ -318,7 +318,7 @@ end
|
||||
|
||||
@recipe function f{T<:Colorant}(mat::AMat{T})
|
||||
n, m = size(mat)
|
||||
|
||||
|
||||
if is_seriestype_supported(:image)
|
||||
seriestype := :image
|
||||
SliceIt, 1:m, 1:n, Surface(mat)
|
||||
|
||||
+1
-1
@@ -32,7 +32,7 @@ get_subplot(plt::Plot, k) = plt.spmap[k]
|
||||
get_subplot(series::Series) = series.d[:subplot]
|
||||
|
||||
get_subplot_index(plt::Plot, idx::Integer) = Int(idx)
|
||||
get_subplot_index(plt::Plot, sp::Subplot) = findfirst(_ -> _ === sp, plt.subplots)
|
||||
get_subplot_index(plt::Plot, sp::Subplot) = findfirst(x -> x === sp, plt.subplots)
|
||||
|
||||
series_list(sp::Subplot) = sp.series_list # filter(series -> series.d[:subplot] === sp, sp.plt.series_list)
|
||||
|
||||
|
||||
@@ -8,10 +8,6 @@ const KW = Dict{Symbol,Any}
|
||||
|
||||
immutable PlotsDisplay <: Display end
|
||||
|
||||
abstract AbstractBackend
|
||||
abstract AbstractPlot{T<:AbstractBackend}
|
||||
abstract AbstractLayout
|
||||
|
||||
# -----------------------------------------------------------
|
||||
|
||||
immutable InputWrapper{T}
|
||||
|
||||
+44
-31
@@ -3,7 +3,7 @@ calcMidpoints(edges::AbstractVector) = Float64[0.5 * (edges[i] + edges[i+1]) for
|
||||
|
||||
"Make histogram-like bins of data"
|
||||
function binData(data, nbins)
|
||||
lo, hi = ignoreNaN_extrema(data)
|
||||
lo, hi = ignorenan_extrema(data)
|
||||
edges = collect(linspace(lo, hi, nbins+1))
|
||||
midpoints = calcMidpoints(edges)
|
||||
buckets = Int[max(2, min(searchsortedfirst(edges, x), length(edges)))-1 for x in data]
|
||||
@@ -109,7 +109,7 @@ function regressionXY(x, y)
|
||||
β, α = convert(Matrix{Float64}, [x ones(length(x))]) \ convert(Vector{Float64}, y)
|
||||
|
||||
# make a line segment
|
||||
regx = [ignoreNaN_minimum(x), ignoreNaN_maximum(x)]
|
||||
regx = [ignorenan_minimum(x), ignorenan_maximum(x)]
|
||||
regy = β * regx + α
|
||||
regx, regy
|
||||
end
|
||||
@@ -192,7 +192,7 @@ function iter_segments(args...)
|
||||
end
|
||||
|
||||
# helpers to figure out if there are NaN values in a list of array types
|
||||
anynan(i::Int, args::Tuple) = any(a -> !isfinite(cycle(a,i)), args)
|
||||
anynan(i::Int, args::Tuple) = any(a -> !isfinite(_cycle(a,i)), args)
|
||||
anynan(istart::Int, iend::Int, args::Tuple) = any(i -> anynan(i, args), istart:iend)
|
||||
allnan(istart::Int, iend::Int, args::Tuple) = all(i -> anynan(i, args), istart:iend)
|
||||
|
||||
@@ -243,19 +243,19 @@ notimpl() = error("This has not been implemented yet")
|
||||
isnothing(x::Void) = true
|
||||
isnothing(x) = false
|
||||
|
||||
cycle(wrapper::InputWrapper, idx::Int) = wrapper.obj
|
||||
cycle(wrapper::InputWrapper, idx::AVec{Int}) = wrapper.obj
|
||||
_cycle(wrapper::InputWrapper, idx::Int) = wrapper.obj
|
||||
_cycle(wrapper::InputWrapper, idx::AVec{Int}) = wrapper.obj
|
||||
|
||||
cycle(v::AVec, idx::Int) = v[mod1(idx, length(v))]
|
||||
cycle(v::AMat, idx::Int) = size(v,1) == 1 ? v[1, mod1(idx, size(v,2))] : v[:, mod1(idx, size(v,2))]
|
||||
cycle(v, idx::Int) = v
|
||||
_cycle(v::AVec, idx::Int) = v[mod1(idx, length(v))]
|
||||
_cycle(v::AMat, idx::Int) = size(v,1) == 1 ? v[1, mod1(idx, size(v,2))] : v[:, mod1(idx, size(v,2))]
|
||||
_cycle(v, idx::Int) = v
|
||||
|
||||
cycle(v::AVec, indices::AVec{Int}) = map(i -> cycle(v,i), indices)
|
||||
cycle(v::AMat, indices::AVec{Int}) = map(i -> cycle(v,i), indices)
|
||||
cycle(v, indices::AVec{Int}) = fill(v, length(indices))
|
||||
_cycle(v::AVec, indices::AVec{Int}) = map(i -> _cycle(v,i), indices)
|
||||
_cycle(v::AMat, indices::AVec{Int}) = map(i -> _cycle(v,i), indices)
|
||||
_cycle(v, indices::AVec{Int}) = fill(v, length(indices))
|
||||
|
||||
cycle(grad::ColorGradient, idx::Int) = cycle(grad.colors, idx)
|
||||
cycle(grad::ColorGradient, indices::AVec{Int}) = cycle(grad.colors, indices)
|
||||
_cycle(grad::ColorGradient, idx::Int) = _cycle(grad.colors, idx)
|
||||
_cycle(grad::ColorGradient, indices::AVec{Int}) = _cycle(grad.colors, indices)
|
||||
|
||||
makevec(v::AVec) = v
|
||||
makevec{T}(v::T) = T[v]
|
||||
@@ -283,7 +283,7 @@ unzip{T}(xyuv::FixedSizeArrays.Vec{4,T}) = T[xyuv[1]], T[xyuv[2]], T[xyuv[
|
||||
# given 2-element lims and a vector of data x, widen lims to account for the extrema of x
|
||||
function _expand_limits(lims, x)
|
||||
try
|
||||
e1, e2 = ignoreNaN_extrema(x)
|
||||
e1, e2 = ignorenan_extrema(x)
|
||||
lims[1] = NaNMath.min(lims[1], e1)
|
||||
lims[2] = NaNMath.max(lims[2], e2)
|
||||
# catch err
|
||||
@@ -292,7 +292,7 @@ function _expand_limits(lims, x)
|
||||
nothing
|
||||
end
|
||||
|
||||
expand_data(v, n::Integer) = [cycle(v, i) for i=1:n]
|
||||
expand_data(v, n::Integer) = [_cycle(v, i) for i=1:n]
|
||||
|
||||
# if the type exists in a list, replace the first occurence. otherwise add it to the end
|
||||
function addOrReplace(v::AbstractVector, t::DataType, args...; kw...)
|
||||
@@ -324,7 +324,7 @@ function replaceAliases!(d::KW, aliases::Dict{Symbol,Symbol})
|
||||
end
|
||||
end
|
||||
|
||||
createSegments(z) = collect(repmat(z',2,1))[2:end]
|
||||
createSegments(z) = collect(repmat(reshape(z,1,:),2,1))[2:end]
|
||||
|
||||
Base.first(c::Colorant) = c
|
||||
Base.first(x::Symbol) = x
|
||||
@@ -332,19 +332,32 @@ Base.first(x::Symbol) = x
|
||||
|
||||
sortedkeys(d::Dict) = sort(collect(keys(d)))
|
||||
|
||||
|
||||
const _scale_base = Dict{Symbol, Real}(
|
||||
:log10 => 10,
|
||||
:log2 => 2,
|
||||
:ln => e,
|
||||
)
|
||||
|
||||
"create an (n+1) list of the outsides of heatmap rectangles"
|
||||
function heatmap_edges(v::AVec)
|
||||
vmin, vmax = ignoreNaN_extrema(v)
|
||||
extra = 0.5 * (vmax-vmin) / (length(v)-1)
|
||||
vcat(vmin-extra, 0.5 * (v[1:end-1] + v[2:end]), vmax+extra)
|
||||
function heatmap_edges(v::AVec, scale::Symbol = :identity)
|
||||
vmin, vmax = ignorenan_extrema(v)
|
||||
extra_min = extra_max = 0.5 * (vmax-vmin) / (length(v)-1)
|
||||
if scale in _logScales
|
||||
vmin > 0 || error("The axis values must be positive for a $scale scale")
|
||||
while vmin - extra_min <= 0
|
||||
extra_min /= _scale_base[scale]
|
||||
end
|
||||
end
|
||||
vcat(vmin-extra_min, 0.5 * (v[1:end-1] + v[2:end]), vmax+extra_max)
|
||||
end
|
||||
|
||||
|
||||
function calc_r_extrema(x, y)
|
||||
xmin, xmax = ignoreNaN_extrema(x)
|
||||
ymin, ymax = ignoreNaN_extrema(y)
|
||||
xmin, xmax = ignorenan_extrema(x)
|
||||
ymin, ymax = ignorenan_extrema(y)
|
||||
r = 0.5 * NaNMath.min(xmax - xmin, ymax - ymin)
|
||||
ignoreNaN_extrema(r)
|
||||
ignorenan_extrema(r)
|
||||
end
|
||||
|
||||
function convert_to_polar(x, y, r_extrema = calc_r_extrema(x, y))
|
||||
@@ -355,8 +368,8 @@ function convert_to_polar(x, y, r_extrema = calc_r_extrema(x, y))
|
||||
x = zeros(n)
|
||||
y = zeros(n)
|
||||
for i in 1:n
|
||||
x[i] = cycle(r,i) * cos(cycle(phi,i))
|
||||
y[i] = cycle(r,i) * sin(cycle(phi,i))
|
||||
x[i] = _cycle(r,i) * cos.(_cycle(phi,i))
|
||||
y[i] = _cycle(r,i) * sin.(_cycle(phi,i))
|
||||
end
|
||||
x, y
|
||||
end
|
||||
@@ -469,7 +482,7 @@ ok(tup::Tuple) = ok(tup...)
|
||||
# compute one side of a fill range from a ribbon
|
||||
function make_fillrange_side(y, rib)
|
||||
frs = zeros(length(y))
|
||||
for (i, (yi, ri)) in enumerate(zip(y, Base.cycle(rib)))
|
||||
for (i, (yi, ri)) in enumerate(zip(y, Base.Iterators.cycle(rib)))
|
||||
frs[i] = yi + ri
|
||||
end
|
||||
frs
|
||||
@@ -480,7 +493,7 @@ function make_fillrange_from_ribbon(kw::KW)
|
||||
y, rib = kw[:y], kw[:ribbon]
|
||||
rib = wraptuple(rib)
|
||||
rib1, rib2 = -first(rib), last(rib)
|
||||
kw[:ribbon] = nothing
|
||||
# kw[:ribbon] = nothing
|
||||
kw[:fillrange] = make_fillrange_side(y, rib1), make_fillrange_side(y, rib2)
|
||||
end
|
||||
|
||||
@@ -645,7 +658,7 @@ end
|
||||
# used in updating an existing series
|
||||
|
||||
extendSeriesByOne(v::UnitRange{Int}, n::Int = 1) = isempty(v) ? (1:n) : (minimum(v):maximum(v)+n)
|
||||
extendSeriesByOne(v::AVec, n::Integer = 1) = isempty(v) ? (1:n) : vcat(v, (1:n) + ignoreNaN_maximum(v))
|
||||
extendSeriesByOne(v::AVec, n::Integer = 1) = isempty(v) ? (1:n) : vcat(v, (1:n) + ignorenan_maximum(v))
|
||||
extendSeriesData{T}(v::Range{T}, z::Real) = extendSeriesData(float(collect(v)), z)
|
||||
extendSeriesData{T}(v::Range{T}, z::AVec) = extendSeriesData(float(collect(v)), z)
|
||||
extendSeriesData{T}(v::AVec{T}, z::Real) = (push!(v, convert(T, z)); v)
|
||||
@@ -871,9 +884,9 @@ mm2px(mm::Real) = float(px / MM_PER_PX)
|
||||
|
||||
|
||||
"Smallest x in plot"
|
||||
xmin(plt::Plot) = ignoreNaN_minimum([ignoreNaN_minimum(series.d[:x]) for series in plt.series_list])
|
||||
xmin(plt::Plot) = ignorenan_minimum([ignorenan_minimum(series.d[:x]) for series in plt.series_list])
|
||||
"Largest x in plot"
|
||||
xmax(plt::Plot) = ignoreNaN_maximum([ignoreNaN_maximum(series.d[:x]) for series in plt.series_list])
|
||||
xmax(plt::Plot) = ignorenan_maximum([ignorenan_maximum(series.d[:x]) for series in plt.series_list])
|
||||
|
||||
"Extrema of x-values in plot"
|
||||
ignoreNaN_extrema(plt::Plot) = (xmin(plt), xmax(plt))
|
||||
ignorenan_extrema(plt::Plot) = (xmin(plt), xmax(plt))
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
StatPlots
|
||||
FactCheck
|
||||
Images
|
||||
ImageMagick
|
||||
@osx QuartzImageIO
|
||||
@@ -7,4 +6,3 @@ GR
|
||||
RDatasets
|
||||
VisualRegressionTests
|
||||
UnicodePlots
|
||||
Glob
|
||||
|
||||
+5
-10
@@ -13,10 +13,9 @@ try
|
||||
end
|
||||
|
||||
|
||||
# using Plots # reexported by StatPlots
|
||||
using Plots
|
||||
using StatPlots
|
||||
using FactCheck
|
||||
using Glob
|
||||
using Base.Test
|
||||
|
||||
default(size=(500,300))
|
||||
|
||||
@@ -24,7 +23,7 @@ default(size=(500,300))
|
||||
# TODO: use julia's Condition type and the wait() and notify() functions to initialize a Window, then wait() on a condition that
|
||||
# is referenced in a button press callback (the button clicked callback will call notify() on that condition)
|
||||
|
||||
const _current_plots_version = v"0.11.3"
|
||||
const _current_plots_version = v"0.12.1"
|
||||
|
||||
|
||||
function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = isinteractive(), sigma = [1,1], eps = 1e-2)
|
||||
@@ -43,11 +42,7 @@ function image_comparison_tests(pkg::Symbol, idx::Int; debug = false, popup = is
|
||||
fn = "ref$idx.png"
|
||||
|
||||
# firgure out version info
|
||||
G = glob(joinpath(relpath(refdir), "*"))
|
||||
# @show refdir fn G
|
||||
slash = (@static is_windows() ? "\\" : "/")
|
||||
versions = map(fn -> VersionNumber(split(fn, slash)[end]), G)
|
||||
versions = reverse(sort(versions))
|
||||
versions = sort(VersionNumber.(readdir(refdir)), rev = true)
|
||||
versions = filter(v -> v <= _current_plots_version, versions)
|
||||
# @show refdir fn versions
|
||||
|
||||
@@ -99,7 +94,7 @@ function image_comparison_facts(pkg::Symbol;
|
||||
for i in 1:length(Plots._examples)
|
||||
i in skip && continue
|
||||
if only == nothing || i in only
|
||||
@fact image_comparison_tests(pkg, i, debug=debug, sigma=sigma, eps=eps) |> success --> true
|
||||
@test image_comparison_tests(pkg, i, debug=debug, sigma=sigma, eps=eps) |> success == true
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
@@ -6,8 +6,8 @@ sudo apt-get -qq update
|
||||
# sudo apt-get install -y wkhtmltopdf
|
||||
|
||||
sudo apt-get install -y xfonts-75dpi xfonts-base
|
||||
wget https://downloads.wkhtmltopdf.org/0.12/0.12.2/wkhtmltox-0.12.2_linux-precise-amd64.deb
|
||||
sudo dpkg -i wkhtmltox-0.12.2_linux-precise-amd64.deb
|
||||
wget https://github.com/wkhtmltopdf/wkhtmltopdf/releases/download/0.12.2.1/wkhtmltox-0.12.2.1_linux-precise-amd64.deb
|
||||
sudo dpkg -i wkhtmltox-0.12.2.1_linux-precise-amd64.deb
|
||||
# wget http://download.gna.org/wkhtmltopdf/0.12/0.12.2/wkhtmltox-0.12.2_linux-trusty-amd64.deb
|
||||
# sudo dpkg -i wkhtmltox-0.12.2_linux-trusty-amd64.deb
|
||||
wkhtmltoimage http://www.google.com test.png
|
||||
|
||||
+48
-51
@@ -7,41 +7,35 @@ srand(1234)
|
||||
default(show=false, reuse=true)
|
||||
img_eps = isinteractive() ? 1e-2 : 10e-2
|
||||
|
||||
# facts("Gadfly") do
|
||||
# @fact gadfly() --> Plots.GadflyBackend()
|
||||
# @fact backend() --> Plots.GadflyBackend()
|
||||
#
|
||||
# @fact typeof(plot(1:10)) --> Plots.Plot{Plots.GadflyBackend}
|
||||
# @fact plot(Int[1,2,3], rand(3)) --> not(nothing)
|
||||
# @fact plot(sort(rand(10)), rand(Int, 10, 3)) --> not(nothing)
|
||||
# @fact plot!(rand(10,3), rand(10,3)) --> not(nothing)
|
||||
#
|
||||
# image_comparison_facts(:gadfly, skip=[4,6,23,24,27], eps=img_eps)
|
||||
# end
|
||||
|
||||
|
||||
facts("GR") do
|
||||
@fact gr() --> Plots.GRBackend()
|
||||
@fact backend() --> Plots.GRBackend()
|
||||
@testset "GR" begin
|
||||
@test gr() == Plots.GRBackend()
|
||||
@test backend() == Plots.GRBackend()
|
||||
|
||||
image_comparison_facts(:gr, eps=img_eps)
|
||||
end
|
||||
|
||||
|
||||
facts("PyPlot") do
|
||||
@fact pyplot() --> Plots.PyPlotBackend()
|
||||
@fact backend() --> Plots.PyPlotBackend()
|
||||
@testset "PyPlot" begin
|
||||
@test pyplot() == Plots.PyPlotBackend()
|
||||
@test backend() == Plots.PyPlotBackend()
|
||||
|
||||
image_comparison_facts(:pyplot, eps=img_eps)
|
||||
end
|
||||
|
||||
@testset "UnicodePlots" begin
|
||||
@test unicodeplots() == Plots.UnicodePlotsBackend()
|
||||
@test backend() == Plots.UnicodePlotsBackend()
|
||||
|
||||
# lets just make sure it runs without error
|
||||
@test isa(plot(rand(10)), Plots.Plot) == true
|
||||
end
|
||||
|
||||
# The plotlyjs testimages return a connection error on travis:
|
||||
# connect: connection refused (ECONNREFUSED)
|
||||
|
||||
# facts("PlotlyJS") do
|
||||
# @fact plotlyjs() --> Plots.PlotlyJSBackend()
|
||||
# @fact backend() --> Plots.PlotlyJSBackend()
|
||||
# @testset "PlotlyJS" begin
|
||||
# @test plotlyjs() == Plots.PlotlyJSBackend()
|
||||
# @test backend() == Plots.PlotlyJSBackend()
|
||||
#
|
||||
# if is_linux() && isinteractive()
|
||||
# image_comparison_facts(:plotlyjs,
|
||||
@@ -59,9 +53,9 @@ end
|
||||
# ERROR: LoadError: InitError: Cannot open display:
|
||||
# in Gtk.GLib.GError(::Gtk.##229#230) at /home/travis/.julia/v0.5/Gtk/src/GLib/gerror.jl:17
|
||||
|
||||
# facts("InspectDR") do
|
||||
# @fact inspectdr() --> Plots.InspectDRBackend()
|
||||
# @fact backend() --> Plots.InspectDRBackend()
|
||||
# @testset "InspectDR" begin
|
||||
# @test inspectdr() == Plots.InspectDRBackend()
|
||||
# @test backend() == Plots.InspectDRBackend()
|
||||
#
|
||||
# image_comparison_facts(:inspectdr,
|
||||
# skip=[
|
||||
@@ -78,61 +72,66 @@ end
|
||||
# end
|
||||
|
||||
|
||||
# facts("Plotly") do
|
||||
# @fact plotly() --> Plots.PlotlyBackend()
|
||||
# @fact backend() --> Plots.PlotlyBackend()
|
||||
# @testset "Plotly" begin
|
||||
# @test plotly() == Plots.PlotlyBackend()
|
||||
# @test backend() == Plots.PlotlyBackend()
|
||||
#
|
||||
# # # until png generation is reliable on OSX, just test on linux
|
||||
# # @static is_linux() && image_comparison_facts(:plotly, only=[1,3,4,7,8,9,10,11,12,14,15,20,22,23,27], eps=img_eps)
|
||||
# end
|
||||
|
||||
|
||||
# facts("Immerse") do
|
||||
# @fact immerse() --> Plots.ImmerseBackend()
|
||||
# @fact backend() --> Plots.ImmerseBackend()
|
||||
# @testset "Immerse" begin
|
||||
# @test immerse() == Plots.ImmerseBackend()
|
||||
# @test backend() == Plots.ImmerseBackend()
|
||||
#
|
||||
# # as long as we can plot anything without error, it should be the same as Gadfly
|
||||
# image_comparison_facts(:immerse, only=[1], eps=img_eps)
|
||||
# end
|
||||
|
||||
|
||||
# facts("PlotlyJS") do
|
||||
# @fact plotlyjs() --> Plots.PlotlyJSBackend()
|
||||
# @fact backend() --> Plots.PlotlyJSBackend()
|
||||
# @testset "PlotlyJS" begin
|
||||
# @test plotlyjs() == Plots.PlotlyJSBackend()
|
||||
# @test backend() == Plots.PlotlyJSBackend()
|
||||
#
|
||||
# # as long as we can plot anything without error, it should be the same as Plotly
|
||||
# image_comparison_facts(:plotlyjs, only=[1], eps=img_eps)
|
||||
# end
|
||||
|
||||
|
||||
facts("UnicodePlots") do
|
||||
@fact unicodeplots() --> Plots.UnicodePlotsBackend()
|
||||
@fact backend() --> Plots.UnicodePlotsBackend()
|
||||
|
||||
# lets just make sure it runs without error
|
||||
@fact isa(plot(rand(10)), Plots.Plot) --> true
|
||||
end
|
||||
# @testset "Gadfly" begin
|
||||
# @test gadfly() == Plots.GadflyBackend()
|
||||
# @test backend() == Plots.GadflyBackend()
|
||||
#
|
||||
# @test typeof(plot(1:10)) == Plots.Plot{Plots.GadflyBackend}
|
||||
# @test plot(Int[1,2,3], rand(3)) == not(nothing)
|
||||
# @test plot(sort(rand(10)), rand(Int, 10, 3)) == not(nothing)
|
||||
# @test plot!(rand(10,3), rand(10,3)) == not(nothing)
|
||||
#
|
||||
# image_comparison_facts(:gadfly, skip=[4,6,23,24,27], eps=img_eps)
|
||||
# end
|
||||
|
||||
|
||||
|
||||
facts("Axes") do
|
||||
|
||||
@testset "Axes" begin
|
||||
p = plot()
|
||||
axis = p.subplots[1][:xaxis]
|
||||
@fact typeof(axis) --> Plots.Axis
|
||||
@fact Plots.discrete_value!(axis, "HI") --> (0.5, 1)
|
||||
@fact Plots.discrete_value!(axis, :yo) --> (1.5, 2)
|
||||
@fact Plots.ignoreNaN_extrema(axis) --> (0.5,1.5)
|
||||
@fact axis[:discrete_map] --> Dict{Any,Any}(:yo => 2, "HI" => 1)
|
||||
@test typeof(axis) == Plots.Axis
|
||||
@test Plots.discrete_value!(axis, "HI") == (0.5, 1)
|
||||
@test Plots.discrete_value!(axis, :yo) == (1.5, 2)
|
||||
@test Plots.ignorenan_extrema(axis) == (0.5,1.5)
|
||||
@test axis[:discrete_map] == Dict{Any,Any}(:yo => 2, "HI" => 1)
|
||||
|
||||
Plots.discrete_value!(axis, ["x$i" for i=1:5])
|
||||
Plots.discrete_value!(axis, ["x$i" for i=0:2])
|
||||
@fact Plots.ignoreNaN_extrema(axis) --> (0.5, 7.5)
|
||||
@test Plots.ignorenan_extrema(axis) == (0.5, 7.5)
|
||||
end
|
||||
|
||||
|
||||
# tests for preprocessing recipes
|
||||
|
||||
# facts("recipes") do
|
||||
# @testset "recipes" begin
|
||||
|
||||
# user recipe
|
||||
|
||||
@@ -169,6 +168,4 @@ end
|
||||
# end
|
||||
|
||||
|
||||
|
||||
FactCheck.exitstatus()
|
||||
end # module
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
Pkg.clone("ImageMagick")
|
||||
Pkg.add("ImageMagick")
|
||||
Pkg.build("ImageMagick")
|
||||
|
||||
Pkg.clone("GR")
|
||||
|
||||
Reference in New Issue
Block a user