Functions

draw(s; axis=NamedTuple(), figure=NamedTuple, palettes=NamedTuple())

Draw a AlgebraOfGraphics.Layer or AlgebraOfGraphics.Layers object s. The output can be customized by giving axis attributes to axis, figure attributes to figure, or custom palettes to palettes. Legend and colorbar are drawn automatically. For finer control, use draw!, legend!, and colorbar! independently.

draw!(fig, s; axis=NamedTuple(), palettes=NamedTuple())

Draw a AlgebraOfGraphics.Layer or AlgebraOfGraphics.Layers object s on fig. fig can be a figure, a position in a layout, or an axis if s has no facet specification. The output can be customized by giving axis attributes to axis or custom palettes to palettes.

colorbar!(figpos, grid; kwargs...)

Compute colorbar for grid (which should be the output of draw!) and draw it in position figpos. Attributes allowed in kwargs are the same as MakieLayout.Colorbar.

legend!(figpos, grid; kwargs...)

Compute legend for grid (which should be the output of draw!) and draw it in position figpos. Attributes allowed in kwargs are the same as MakieLayout.Legend.

renamer(arr::Union{AbstractArray, Tuple})

Utility to rename a categorical variable, as in renamer([value1 => label1, value2 => label2]). The keys of all pairs should be all the unique values of the categorical variable and the values should be the corresponding labels. The order of arr is respected in the legend.

Examples

julia> r = renamer(["class 1" => "Class One", "class 2" => "Class Two"])
AlgebraOfGraphics.Renamer{Vector{String}, Vector{String}}(["class 1", "class 2"], ["Class One", "Class Two"])

julia> println(r("class 1"))
Class One

Alternatively, a sequence of pair arguments may be passed.

julia> r = renamer("class 1" => "Class One", "class 2" => "Class Two")
AlgebraOfGraphics.Renamer{Tuple{String, String}, Tuple{String, String}}(("class 1", "class 2"), ("Class One", "Class Two"))

julia> println(r("class 1"))
Class One

If arr does not contain Pairs, elements of arr are assumed to be labels, and the unique values of the categorical variable are taken to be the indices of the array. This is particularly useful for dims mappings.

Examples

julia> r = renamer(["Class One", "Class Two"])
AlgebraOfGraphics.Renamer{Nothing, Vector{String}}(nothing, ["Class One", "Class Two"])

julia> println(r(2))
Class Two

sorter(ks)

Utility to reorder a categorical variable, as in sorter(["low", "medium", "high"]). A vararg method sorter("low", "medium", "high") is also supported. ks should include all the unique values of the categorical variable. The order of ks is respected in the legend.

nonnumeric(x)

Transform x into a non numeric type that is printed and sorted in the same way.

verbatim(x)

Signal that x should not be rescaled, but used in the plot as is.

set_aog_theme!(; kwargs...)

Set the current theme to a predefined and opinionated theme, as defined by the unexported internal function AlgebraOfGraphics.aog_theme.

To tweak the predefined theme, use the function Makie.update_theme!. See the example below on how to change, e.g., default fontsize, title, and markersize.

For more information about setting themes, see the Theming section of the Makie.jl docs.

Examples

julia> using CairoMakie, AlgebraOfGraphics

julia> set_aog_theme!()                # Sets a prefedined theme

julia> update_theme!(                  # Tweaks the current theme
           fontsize=30,
           markersize=40,
           Axis=(title="MyDefaultTitle",)
       )

aog_theme(; fonts=[firasans("Medium"), firasans("Light")])

Return a NamedTuple of theme settings. Intended for internal use. The provided functionality is exposed to the user by the function set_aog_theme!.

datetimeticks(datetimes::AbstractVector{<:TimeType}, labels::AbstractVector{<:AbstractString})

Generate ticks matching datetimes to the corresponding labels. The result can be passed to xticks, yticks, or zticks.

datetimeticks(f, datetimes::AbstractVector{<:TimeType})

Compute ticks for the given datetimes using a formatting function f. The result can be passed to xticks, yticks, or zticks.

scientific_eltype(v)

Determine whether v should be treated as a continuous, geometrical, or categorical array.

scientific_type(T::Type)

Determine whether T represents a continuous, geometrical, or categorical variable.

plottypes_attributes(entries)

Return plottypes and relative attributes, as two vectors of the same length, for the given entries.

compute_attributes(pl::ProcessedLayer, categoricalscales, continuousscales_grid, continuousscales)

Process attributes of a ProcessedLayer. In particular,

• remove AlgebraOfGraphics-specific layout attributes,
• opt out of Makie cycling mechanism,
• customize behavior of color (implementing alpha transparency),
• customize behavior of bar width (default to 1 when not specified).

Return computed attributes.