Functions

draw(d, scales::Scales = scales(); [axis, figure, facet, legend, colorbar])

Draw a AlgebraOfGraphics.AbstractDrawable object d. In practice, d will often be a AlgebraOfGraphics.Layer or AlgebraOfGraphics.Layers. Scale options can be passed as an optional second argument. The output can be customized by passing named tuples or dictionaries with settings via the axis, figure, facet, legend or colorbar keywords. Legend and colorbar are drawn automatically unless show = false is passed to the keyword arguments of either legend or colorbar.

For finer control, use draw!, legend!, and colorbar! independently.

Figure options

AlgebraOfGraphics accepts the following special keywords under the figure keyword, the remaining attributes are forwarded to Makie's Figure constructor. The title, subtitle and footnotes arguments accept objects of any kind that Makie's Label or text function can handle, such as rich text.

- `title`
- `subtitle`
- `titlesize::Union{Nothing,Float64}`
- `subtitlesize::Union{Nothing,Float64}`
- `titlealign::Union{Nothing,Symbol}`
- `titlecolor`
- `subtitlecolor`
- `titlefont`
- `subtitlefont`
- `titlelineheight`
- `subtitlelineheight`
- `footnotes::Union{Nothing,Vector{Any}}`
- `footnotesize::Union{Nothing,Float64}`
- `footnotefont`
- `footnotecolor`
- `footnotealign`
- `footnotelineheight`

draw(p::PaginatedLayers; kws...)

Draw each element of PaginatedLayers p and return a Vector{FigureGrid}. Keywords kws are passed to the underlying draw calls.

draw(p::PaginatedLayers, i::Int; kws...)

Draw the ith element of PaginatedLayers p and return a FigureGrid. Keywords kws are passed to the underlying draw call.

You can retrieve the number of elements using length(p).

draw!(fig, d::AbstractDrawable, scales::Scales = scales(); [axis, facet])

Draw a AlgebraOfGraphics.AbstractDrawable object d on fig. In practice, d will often be a AlgebraOfGraphics.Layer or AlgebraOfGraphics.Layers. fig can be a figure, a position in a layout, or an axis if d has no facet specification. The output can be customized by passing named tuples or dictionaries with settings via the axis or facet keywords.

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; order = nothing, kwargs...)

Compute legend for grid (which should be the output of draw!) and draw it in position figpos. All kwargs are forwarded to Makie's Legend constructor.

The order of scales represented in the legend can be changed with the order keyword. By default, legend sections are ordered the same as they appear in the plot specification. Assuming three scales Color, MarkerSize and custom exist in a spec, you can pass a vector to reorder them like [:MarkerSize, :custom, :Color], or merge multiple entries together with a nested vector like [[:MarkerSize, :custom], :Color], or give merged sections a title with the pair syntax [[:MarkerSize, :custom] => "Merged group", :Color].

paginate(l; layout=nothing, row=nothing, col=nothing)

Paginate l, the Layer or Layers object created by an AlgebraOfGraphics spec, to create a PaginatedLayers object. This contains a vector of layers where each layer operates on a subset of the input data.

The PaginatedLayers object can be passed to draw which will return a Vector{FigureGrid} rather than a single figure.

The keywords that limit the number of subplots on each page are the same that are used to specify facets in mapping:

• layout: Maximum number of subplots in a wrapped linear layout.
• row: Maximum number of rows in a 2D layout.
• col: Maximum number of columns in a 2D layout.

Example

d = data((
    x = rand(1000),
    y = rand(1000),
    group1 = rand(string.('a':'i'), 1000),
    group2 = rand(string.('j':'r'), 1000),
))

layer_1 = d * mapping(:x, :y, layout = :group1) * visual(Scatter)
paginated_1 = paginate(layer_1, layout = 9)
figuregrids = draw(paginated_1)

layer_2 = d * mapping(:x, :y, row = :group1, col = :group2) * visual(Scatter)
paginated_2 = paginate(layer_2, row = 4, col = 3)
figuregrid = draw(paginated_2, 1) # draw only the first grid

scales(; kwargs...)

Create a Scales object containing properties for aesthetic scales that can be passed to draw and draw!. Each keyword should be the name of a scale in the spec that is being drawn. That can either be a default one like Color, Marker or LineStyle, or a custom scale name defined in a mapping using the scale function.

The values attached to the keywords must be dict-like, with Symbols as keys (such as NamedTuples).

pregrouped(positional...; named...)

Equivalent to data(Pregrouped()) * mapping(positional...; named...). Refer to mapping for more information.

direct(x)

Return DirectData(x) which marks x for direct use in a mapping that's used with a table-like data source. As a result, x will be used directly as data, without lookup in the table. If x is not an AbstractArray, it will be expanded like fill(x, n) where n is the number of rows in the data source.

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.

scale(id::Symbol)

Create a ScaleID object that can be used in a mapping to assign a custom id to the mapped variable. This variable will then not be merged into the default scale for its aesthetic type, but instead be handled separately, leading to a separate legend entry.

presorted(x)

Use within a pair expression in mapping to signal that a categorical column from the data source should be used in the original order and not automatically sorted.

Example:

# normally, categories would be sorted a, b, c but with `presorted`
# they stay in the order b, c, a

data((; some_column = ["b", "c", "a"])) * mapping(:some_column => presorted)

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!.

from_continuous(x)

Mark a colormap as continuous such that AlgebraOfGraphics will sample a categorical palette from start to end in n steps, and not by using the first n colors.

You could also use cgrad(colormap, n; categorical = true), however, this requires you to specify how many levels there are, which from_continuous detects automatically.

Example:

draw(scales(Color = (; palette = from_continuous(:viridis))))

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 one unit when not specified),
• set correct colorrange.

Return computed attributes.