fix default resolution and tweak sizes (#721)

docs/src/backends_and_output.md

@@ -67,14 +67,19 @@ CairoMakie.activate!(type = "svg")
 When you save a CairoMakie figure, you can change the mapping from figure resolution to pixels (when saving to png) or points (when saving to svg or pdf).
 This way you can easily scale the resulting image up or down without having to change any plot element sizes.
 
-Just specify `pt_per_unit` when saving vector formats and `px_per_unit` when saving pngs. Both default to 1.
+Just specify `pt_per_unit` when saving vector formats and `px_per_unit` when saving pngs.
+`px_per_unit` defaults to 1 and `pt_per_unit` defaults to 0.75.
+When embedding svgs in websites, `1px` is equivalent to `0.75pt`.
+This means that by default, saving a png or an svg results in an embedded image of the same apparent size.
+If you require an exact size in `pt`, consider setting `pt_per_unit = 1`.
+
 
 Here's an example:
 
 ```julia
 fig = Figure(resolution = (800, 600))
 
-save("normal.pdf", fig) # size = 800 x 600 pt
+save("normal.pdf", fig) # size = 600 x 450 pt
 save("larger.pdf", fig, pt_per_unit = 2) # size = 1600 x 1200 pt
 save("smaller.pdf", fig, pt_per_unit = 0.5) # size = 400 x 300 pt
 

docs/src/basic-tutorial.md

@@ -292,7 +292,7 @@ This is useful as we can then continue with the figure `f` and the heatmap `hm`
 using CairoMakie
 
 f, ax, hm = heatmap(randn(20, 20))
-Colorbar(f[1, 2], hm, width = 20)
+Colorbar(f[1, 2], hm)
 f
 ```
 
@@ -305,7 +305,7 @@ using CairoMakie
 f = Figure()
 ax = Axis(f[1, 1])
 hm = heatmap!(ax, randn(20, 20))
-Colorbar(f[1, 2], hm, width = 20)
+Colorbar(f[1, 2], hm)
 f
 ```
 
@@ -320,7 +320,7 @@ You can pass your axis attributes under the keyword `axis` and your figure attri
 using CairoMakie
 
 heatmap(randn(20, 20),
-    figure = (resolution = (800, 600), backgroundcolor = :pink),
+    figure = (backgroundcolor = :pink,),
     axis = (aspect = 1, xlabel = "x axis", ylabel = "y axis")
 )
 ```

docs/src/figure.md

@@ -59,7 +59,7 @@ This object can be used to plot a new axis into a certain layout position in the
 using CairoMakie
 CairoMakie.activate!() # hide
 
-f = Figure(resolution = (800, 600))
+f = Figure()
 pos = f[1, 1]
 scatter(pos, rand(100, 2))
 
@@ -81,7 +81,7 @@ Often, a desired plot layout can only be achieved with nesting, and repeatedly i
 using CairoMakie
 CairoMakie.activate!() # hide
 
-f = Figure(resolution = (800, 600))
+f = Figure()
 
 f[1, 1] = Axis(f, title = "I'm not nested")
 f[1, 2][1, 1] = Axis(f, title = "I'm nested")
@@ -100,6 +100,25 @@ All nested grid layouts that don't exist yet, but are needed for a nested plotti
     value for further manipulation. You can instead retrieve them after the fact with the `content` function, for example,
     as explained in the following section.
 
+## Figure padding
+
+You can change the amount of whitespace around the figure content with the keyword `figure_padding`.
+This takes either a number for all four sides, or a tuple of four numbers for left, right, bottom, top.
+You can also theme this setting with `set_theme!(figure_padding = 30)`, for example.
+
+```@example
+using CairoMakie
+CairoMakie.activate!() # hide
+
+f = Figure(figure_padding = 1, backgroundcolor = :gray80)
+
+Axis(f[1, 1])
+scatter!(1:10)
+
+f
+```
+
+
 ## Retrieving Objects From A Figure
 
 Sometimes users are surprised that indexing into a figure does not retrieve the object placed at that position.

docs/src/makielayout/axis.md

@@ -13,7 +13,7 @@ Here's how you create one
 ```@example laxis
 using CairoMakie
 
-f = Figure(resolution = (1200, 900))
+f = Figure()
 
 ax = Axis(f[1, 1], xlabel = "x label", ylabel = "y label",
     title = "Title")
@@ -46,7 +46,7 @@ using CairoMakie
 CairoMakie.activate!() # hide
 AbstractPlotting.inline!(true) # hide
 
-f = Figure(resolution = (1200, 500))
+f = Figure()
 
 axs = [Axis(f[1, i]) for i in 1:3]
 
@@ -78,7 +78,7 @@ using CairoMakie
 CairoMakie.activate!() # hide
 AbstractPlotting.inline!(true) # hide
 
-f = Figure(resolution = (1200, 900))
+f = Figure()
 
 axes = [Axis(f[i, j]) for j in 1:3, i in 1:2]
 
@@ -108,7 +108,7 @@ using CairoMakie
 CairoMakie.activate!() # hide
 AbstractPlotting.inline!(true) # hide
 
-f = Figure(resolution = (800, 400))
+f = Figure()
 
 lines(f[1, 1], 0..10, sin)
 lines(f[1, 2], 0..10, sin, axis = (limits = (0, 10, -1, 1),))
@@ -148,7 +148,7 @@ The default tick type is `LinearTicks(n)`, where `n` is the target number of tic
 ```@example
 using CairoMakie
 
-fig = Figure(resolution = (1200, 900))
+fig = Figure()
 for (i, n) in enumerate([2, 5, 9])
     lines(fig[i, 1], 0..20, sin, axis = (xticks = LinearTicks(n),))
 end
@@ -218,7 +218,7 @@ theme = Attributes(
 )
 
 fig = with_theme(theme) do
-    fig = Figure(resolution = (800, 800))
+    fig = Figure()
     axs = [Axis(fig[fldmod1(n, 2)...],
         title = "IntervalsBetween($(n+1))",
         xminorticks = IntervalsBetween(n+1),
@@ -240,7 +240,7 @@ To hide spines, you can use `hidespines!`.
 ```@example
 using CairoMakie
 
-f = Figure(resolution = (1200, 900))
+f = Figure()
 
 ax1 = Axis(f[1, 1], title = "Axis 1")
 ax2 = Axis(f[1, 2], title = "Axis 2")
@@ -260,7 +260,7 @@ It's common, e.g., to hide everything but the grid lines in facet plots.
 ```@example
 using CairoMakie
 
-f = Figure(resolution = (1200, 700))
+f = Figure()
 
 ax1 = Axis(f[1, 1], title = "Axis 1")
 ax2 = Axis(f[1, 2], title = "Axis 2")
@@ -284,7 +284,7 @@ using CairoMakie
 
 data = LinRange(0.01, 0.99, 200)
 
-f = Figure(resolution = (1000, 1000), fontsize = 14)
+f = Figure(resolution = (800, 800))
 
 for (i, scale) in enumerate([identity, log10, log2, log, sqrt, AbstractPlotting.logit])
 
@@ -336,12 +336,12 @@ using FileIO
 using Random # hide
 Random.seed!(1) # hide
 
-f = Figure(resolution = (1200, 900))
+f = Figure()
 
 axes = [Axis(f[i, j]) for i in 1:2, j in 1:3]
 tightlimits!.(axes)
 
-img = rotr90(load("../assets/cow.png"))
+img = rotr90(load(assetpath("cow.png")))
 
 for ax in axes
     image!(ax, img)
@@ -361,8 +361,8 @@ axes[2, 1].aspect = AxisAspect(1)
 axes[2, 2].title = "AxisAspect(2)"
 axes[2, 2].aspect = AxisAspect(2)
 
-axes[2, 3].title = "AxisAspect(0.5)"
-axes[2, 3].aspect = AxisAspect(0.5)
+axes[2, 3].title = "AxisAspect(2/3)"
+axes[2, 3].aspect = AxisAspect(2/3)
 
 f
 ```
@@ -450,7 +450,7 @@ separately.
 ```@example
 using CairoMakie
 
-f = Figure(resolution = (1200, 900))
+f = Figure()
 
 ax1 = Axis(f[1, 1])
 ax2 = Axis(f[1, 2])
@@ -485,7 +485,7 @@ You can change this with the attributes `xaxisposition = :top` and `yaxispositio
 ```@example
 using CairoMakie
 
-f = Figure(resolution = (800, 800))
+f = Figure()
 
 for i in 1:2, j in 1:2
     Axis(
@@ -508,7 +508,7 @@ Here's an example how to do this with a second y axis on the right.
 ```@example
 using CairoMakie
 
-f = Figure(resolution = (800, 600))
+f = Figure()
 
 ax1 = Axis(f[1, 1], yticklabelcolor = :blue)
 ax2 = Axis(f[1, 1], yticklabelcolor = :red, yaxisposition = :right)

docs/src/makielayout/box.md

@@ -12,7 +12,7 @@ facet plots or when a rectangular placeholder is needed.
 using CairoMakie
 using ColorSchemes
 
-fig = Figure(resolution = (1200, 900))
+fig = Figure()
 
 rects = fig[1:4, 1:6] = [
     Box(fig, color = c)

docs/src/makielayout/button.md

@@ -8,7 +8,7 @@ CairoMakie.activate!()
 ```@example
 using GLMakie
 
-fig = Figure(resolution = (1200, 900))
+fig = Figure()
 
 ax = Axis(fig[1, 1])
 fig[2, 1] = buttongrid = GridLayout(tellwidth = false)

docs/src/makielayout/colorbar.md

@@ -14,24 +14,24 @@ Here's how you can create Colorbars manually.
 ```@example
 using CairoMakie
 
-fig = Figure(resolution = (1200, 900))
+fig = Figure()
 
 Axis(fig[1, 1])
 
 # vertical colorbars
-Colorbar(fig[1, 2], width = 25, limits = (0, 10), colormap = :viridis,
+Colorbar(fig[1, 2], limits = (0, 10), colormap = :viridis,
     flipaxis = false)
-Colorbar(fig[1, 3], width = 25, limits = (0, 5),
-colormap = cgrad(:Spectral, 5, categorical = true))
-Colorbar(fig[1, 4], width = 25, limits = (-1, 1), colormap = :heat,
+Colorbar(fig[1, 3], limits = (0, 5),
+    colormap = cgrad(:Spectral, 5, categorical = true), size = 25)
+Colorbar(fig[1, 4], limits = (-1, 1), colormap = :heat,
     highclip = :cyan, lowclip = :red, label = "Temperature")
 
 # horizontal colorbars
-Colorbar(fig[2, 1], height = 25, limits = (0, 10), colormap = :viridis,
+Colorbar(fig[2, 1], limits = (0, 10), colormap = :viridis,
     vertical = false)
-Colorbar(fig[3, 1], height = 25, limits = (0, 5),
+Colorbar(fig[3, 1], limits = (0, 5), size = 25,
     colormap = cgrad(:Spectral, 5, categorical = true), vertical = false)
-Colorbar(fig[4, 1], height = 25, limits = (-1, 1), colormap = :heat,
+Colorbar(fig[4, 1], limits = (-1, 1), colormap = :heat,
     label = "Temperature", vertical = false, flipaxis = false,
     highclip = :cyan, lowclip = :red)
 
@@ -47,22 +47,22 @@ xs = LinRange(0, 20, 50)
 ys = LinRange(0, 15, 50)
 zs = [cos(x) * sin(y) for x in xs, y in ys]
 
-fig = Figure(resolution = (1200, 900))
+fig = Figure()
 
 ax, hm = heatmap(fig[1, 1][1, 1], xs, ys, zs)
-Colorbar(fig[1, 1][1, 2], hm, width = 20)
+Colorbar(fig[1, 1][1, 2], hm)
 
 ax, hm = heatmap(fig[1, 2][1, 1], xs, ys, zs, colormap = :grays,
     colorrange = (-0.75, 0.75), highclip = :red, lowclip = :blue)
-Colorbar(fig[1, 2][1, 2], hm, width = 20)
+Colorbar(fig[1, 2][1, 2], hm)
 
 ax, hm = contourf(fig[2, 1][1, 1], xs, ys, zs,
     levels = -1:0.25:1, colormap = :heat)
-Colorbar(fig[2, 1][1, 2], hm, width = 20, ticks = -1:0.25:1)
+Colorbar(fig[2, 1][1, 2], hm, ticks = -1:0.25:1)
 
 ax, hm = contourf(fig[2, 2][1, 1], xs, ys, zs,
     colormap = :Spectral, levels = [-1, -0.5, -0.25, 0, 0.25, 0.5, 1])
-Colorbar(fig[2, 2][1, 2], hm, width = 20, ticks = -1:0.25:1)
+Colorbar(fig[2, 2][1, 2], hm, ticks = -1:0.25:1)
 
 fig
 ```

docs/src/makielayout/gridlayout.md

@@ -41,7 +41,7 @@ scene, layout = layoutscene(resolution = (1200, 900))
 
 layout[1, 1] = Axis(scene, title = "My column has size Relative(2/3)")
 layout[1, 2] = Axis(scene, title = "My column has size Auto()")
-layout[1, 3] = Colorbar(scene, width = 30)
+layout[1, 3] = Colorbar(scene)
 
 colsize!(layout, 1, Relative(2/3))
 
@@ -267,7 +267,7 @@ columns respectively.
 ```@example spacing
 using CairoMakie
 
-fig = Figure(resolution = (1200, 900))
+fig = Figure()
 
 axs = [Axis(fig[i, j]) for i in 1:3, j in 1:3]
 axs[1, 1].title = "Group A"

docs/src/makielayout/intervalslider.md

@@ -25,7 +25,7 @@ using CairoMakie # hide
 AbstractPlotting.inline!(true) # hide
 CairoMakie.activate!() # hide
 
-f = Figure(resolution = (800, 800))
+f = Figure()
 Axis(f[1, 1], limits = (0, 1, 0, 1))
 
 rs_h = IntervalSlider(f[2, 1], range = LinRange(0, 1, 1000),

docs/src/makielayout/label.md

@@ -11,7 +11,7 @@ so rows and columns in a GridLayout can shrink to the appropriate width or heigh
 ```@example
 using CairoMakie
 
-fig = Figure(resolution = (1200, 900))
+fig = Figure()
 
 fig[1:2, 1:3] = [Axis(fig) for _ in 1:6]
 

docs/src/makielayout/layoutables.md

@@ -24,7 +24,7 @@ using CairoMakie
 CairoMakie.activate!() # hide
 AbstractPlotting.inline!(true) # hide
 
-f = Figure(resolution = (800, 600))
+f = Figure()
 ax = Axis(f[1, 1])
 f
 ```
@@ -40,7 +40,7 @@ using CairoMakie
 CairoMakie.activate!() # hide
 AbstractPlotting.inline!(true) # hide
 
-scene, layout = layoutscene(resolution = (800, 600))
+scene, layout = layoutscene()
 ax = layout[1, 1] = Axis(scene)
 scene
 ```
@@ -59,7 +59,7 @@ using CairoMakie
 CairoMakie.activate!() # hide
 AbstractPlotting.inline!(true) # hide
 
-f = Figure(resolution = (800, 600))
+f = Figure()
 Axis(f, bbox = BBox(100, 300, 100, 500), title = "Axis 1")
 Axis(f, bbox = BBox(400, 700, 200, 400), title = "Axis 2")
 f