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5 Commits

Author SHA1 Message Date
Simon Christ 35e96a5302 1.23.2 [skip ci] 2021-10-28 16:13:37 +02:00
Simon Christ e84905c2a0 detect aliases in recipes (#3904)
* detect aliases in recipes

* remove doubled tests
2021-10-28 16:12:59 +02:00
Simon Christ 1c621feacc 1.23.1 [skip ci] 2021-10-26 09:17:12 +02:00
Simon Christ e8356965e9 fix pyplot backend 2021-10-26 09:15:46 +02:00
Nicholas Bauer 72428000cc Moved clims into plot/series attributes (#3897)
* Moved limits into plot/series attributes

* Moved const to args
2021-10-26 09:09:23 +02:00
6 changed files with 32 additions and 33 deletions
+1 -1
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@@ -1,7 +1,7 @@
name = "Plots"
uuid = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
author = ["Tom Breloff (@tbreloff)"]
version = "1.23.0"
version = "1.23.2"
[deps]
Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
+2
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@@ -89,6 +89,8 @@ const _allTypes = vcat(
_3dTypes,
)
const _z_colored_series = [:contour, :contour3d, :heatmap, :histogram2d, :surface, :hexbin]
const _typeAliases = Dict{Symbol,Symbol}(
:n => :none,
:no => :none,
+3 -3
View File
@@ -1627,7 +1627,7 @@ function py_add_legend(plt::Plot, sp::Subplot, ax)
),
linewidth = py_thickness_scale(
plt,
hasline * sp[:legendfontsize] / 8,
hasline * sp[:legend_font_pointsize] / 8,
),
linestyle = py_linestyle(:path, get_linestyle(series)),
solid_capstyle = "butt",
@@ -1635,7 +1635,7 @@ function py_add_legend(plt::Plot, sp::Subplot, ax)
dash_capstyle = "butt",
dash_joinstyle = "miter",
marker = py_marker(_cycle(series[:markershape], 1)),
markersize = py_thickness_scale(plt, 0.8 * sp[:legendfontsize]),
markersize = py_thickness_scale(plt, 0.8 * sp[:legend_font_pointsize]),
markeredgecolor = py_color(
single_color(get_markerstrokecolor(series)),
get_markerstrokealpha(series),
@@ -1646,7 +1646,7 @@ function py_add_legend(plt::Plot, sp::Subplot, ax)
),
markeredgewidth = py_thickness_scale(
plt,
0.8 * get_markerstrokewidth(series) * sp[:legendfontsize] /
0.8 * get_markerstrokewidth(series) * sp[:legend_font_pointsize] /
first(series[:markersize]),
), # retain the markersize/markerstroke ratio from the markers on the plot
)
+7 -12
View File
@@ -5,27 +5,24 @@ process_clims(s::Union{Symbol,Nothing,Missing}) = ignorenan_extrema
# don't specialize on ::Function otherwise python functions won't work
process_clims(f) = f
const sp_clims = IdDict{Subplot,Tuple{Float64,Float64}}()
const series_clims = IdDict{Series,Tuple{Float64,Float64}}()
get_clims(sp::Subplot)::Tuple{Float64,Float64} =
haskey(sp_clims, sp) ? sp_clims[sp] : update_clims(sp)
haskey(sp.attr, :clims_calculated) ? sp[:clims_calculated] : update_clims(sp)
get_clims(series::Series)::Tuple{Float64,Float64} =
haskey(series_clims, series) ? series_clims[series] : update_clims(series)
haskey(series.plotattributes, :clims_calculated) ?
series[:clims_calculated]::Tuple{Float64,Float64} : update_clims(series)
get_clims(sp::Subplot, series::Series)::Tuple{Float64,Float64} =
series[:colorbar_entry] ? get_clims(sp) : get_clims(series)
function update_clims(sp::Subplot, op = process_clims(sp[:clims]))::Tuple{Float64,Float64}
zmin, zmax = Inf, -Inf
for series in series_list(sp)
if series[:colorbar_entry]
if series[:colorbar_entry]::Bool
zmin, zmax = _update_clims(zmin, zmax, update_clims(series, op)...)
else
update_clims(series, op)
end
end
return sp_clims[sp] = zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
return sp[:clims_calculated] = zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
end
"""
@@ -36,10 +33,9 @@ values of the input. The value is stored as a series property, which is retrieve
"""
function update_clims(series::Series, op = ignorenan_extrema)::Tuple{Float64,Float64}
zmin, zmax = Inf, -Inf
z_colored_series = (:contour, :contour3d, :heatmap, :histogram2d, :surface, :hexbin)
# keeping this unrolled has higher performance
if series[:seriestype] z_colored_series && series[:z] !== nothing
if series[:seriestype] _z_colored_series && series[:z] !== nothing
zmin, zmax = update_clims(zmin, zmax, series[:z], op)
end
if series[:line_z] !== nothing
@@ -51,8 +47,7 @@ function update_clims(series::Series, op = ignorenan_extrema)::Tuple{Float64,Flo
if series[:fill_z] !== nothing
zmin, zmax = update_clims(zmin, zmax, series[:fill_z], op)
end
return series_clims[series] = zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
return series[:clims_calculated] = zmin <= zmax ? (zmin, zmax) : (NaN, NaN)
end
update_clims(zmin, zmax, vals::AbstractSurface, op)::Tuple{Float64,Float64} =
+7 -17
View File
@@ -8,24 +8,14 @@ function RecipesPipeline.warn_on_recipe_aliases!(
recipe_type::Symbol,
@nospecialize(args)
)
for k in keys(plotattributes)
if !is_default_attribute(k)
dk = get(_keyAliases, k, k)
if k !== dk
if recipe_type == :user
signature_string = RecipesPipeline.userrecipe_signature_string(args)
elseif recipe_type == :type
signature_string = RecipesPipeline.typerecipe_signature_string(args)
elseif recipe_type == :plot
signature_string = RecipesPipeline.plotrecipe_signature_string(args)
elseif recipe_type == :series
signature_string = RecipesPipeline.seriesrecipe_signature_string(args)
else
throw(ArgumentError("Invalid recipe type `$recipe_type`"))
end
# @warn "Attribute alias `$k` detected in the $recipe_type recipe defined for the signature $signature_string. To ensure expected behavior it is recommended to use the default attribute `$dk`."
pkeys = keys(plotattributes)
for k in pkeys
dk = get(_keyAliases, k, nothing)
if dk !== nothing
kv = RecipesPipeline.pop_kw!(plotattributes, k)
if dk pkeys
plotattributes[dk] = kv
end
plotattributes[dk] = RecipesPipeline.pop_kw!(plotattributes, k)
end
end
end
+12
View File
@@ -1,6 +1,18 @@
using Plots, Test
using OffsetArrays
@testset "User recipes" begin
struct LegendPlot end
@recipe function f(plot::LegendPlot)
legend --> :topleft
(1:3, 1:3)
end
pl = plot(LegendPlot(); legend = :right)
@test pl[1][:legend_position] == :right
pl = plot(LegendPlot())
@test pl[1][:legend_position] == :topleft
end
@testset "lens!" begin
pl = plot(1:5)
lens!(pl, [1, 2], [1, 2], inset = (1, bbox(0.0, 0.0, 0.2, 0.2)), colorbar = false)