## Exported

AbstractPlotting.EventsType

This struct provides accessible Observables to monitor the events associated with a Scene.

Fields

• window_area::Observable{GeometryBasics.HyperRectangle{2, Int64}}

The area of the window in pixels, as a Rect2D.

• window_dpi::Observable{Float64}

The DPI resolution of the window, as a Float64.

• window_open::Observable{Bool}

The state of the window (open => true, closed => false).

• mousebuttons::Observable{Set{AbstractPlotting.Mouse.Button}}

The pressed mouse buttons. Updates when a mouse button is pressed.

See also ispressed.

• mouseposition::Observable{Tuple{Float64, Float64}}

The position of the mouse as a NTuple{2, Float64}. Updates whenever the mouse moves.

• mousedrag::Observable{AbstractPlotting.Mouse.DragEnum}

The state of the mouse drag, represented by an enumerator of DragEnum.

• scroll::Observable{Tuple{Float64, Float64}}

The direction of scroll

• unicode_input::Observable{Vector{Char}}

• dropped_files::Observable{Vector{String}}

• hasfocus::Observable{Bool}

Whether the Scene window is in focus or not.

• entered_window::Observable{Bool}
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AbstractPlotting.PixelType

Unit in pixels on screen. This one is a bit tricky, since it refers to a static attribute (pixels on screen don't change) but since every visual is attached to a camera, the exact scale might change. So in the end, this is just relative to some normed camera - the value on screen, depending on the camera, will not actually sit on those pixels. Only camera that guarantees the correct mapping is the :pixel camera type.

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AbstractPlotting.PlotSpecType

PlotSpec{P<:AbstractPlot}(args...; kwargs...)

Object encoding positional arguments (args), a NamedTuple of attributes (kwargs) as well as plot type P of a basic plot.

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AbstractPlotting.SceneType
Scene TODO document this

Constructors

Fields

• parent

The parent of the Scene; if it is a top-level Scene, parent == nothing.

• events

Events associated with the Scene.

• px_area

The current pixel area of the Scene.

• clear

Whether the scene should be cleared.

• camera

The Camera associated with the Scene.

• camera_controls

The controls for the camera of the Scene.

• data_limits

The limits of the data plotted in this scene. Can't be set by user and is only used to store calculated data bounds.

• transformation

The Transformation of the Scene.

• plots

The plots contained in the Scene.

• theme

• attributes

• children

Children of the Scene inherit its transformation.

• current_screens

The Screens which the Scene is displayed to.

• updated

Signal to indicate whether layouting should happen. If updated to true, the Scene will be layouted according to its attributes (raw, center, or scale_plot).

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AbstractPlotting.TransformationType

Holds the transformations for Scenes.

Fields

• parent::Base.RefValue{AbstractPlotting.Transformable}

• translation::Observable{Vec{3, Float32}}

• scale::Observable{Vec{3, Float32}}

• rotation::Observable{Quaternionf0}

• model::Observable{StaticArrays.SMatrix{4, 4, Float32, 16}}

• flip::Observable{Tuple{Bool, Bool, Bool}}

• align::Observable{Vec{2, Float32}}

• transform_func::Observable{Any}

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AbstractPlotting.PatternMethod
Pattern(image)
Pattern(mask[; color1, color2])

Creates an ImagePattern from an image (a matrix of colors) or a mask (a matrix of real numbers). The pattern can be passed as a color to a plot to texture it. If a mask is passed, one can specify to colors between which colors are interpolated.

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AbstractPlotting.PatternMethod
Pattern(style::String = "/"; kwargs...)
Pattern(style::Char = '/'; kwargs...)

Creates a line pattern based on the given argument. Available patterns are '/', '\', '-', '|', 'x', and '+'. All keyword arguments correspond to the keyword arguments for LinePattern.

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AbstractPlotting.annotations!Method
annotations(strings::Vector{String}, positions::Vector{Point})

Plots an array of texts at each position in positions.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.annotations!, T} where T are:

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AbstractPlotting.annotationsMethod
annotations(strings::Vector{String}, positions::Vector{Point})

Plots an array of texts at each position in positions.

Attributes

Available attributes and their defaults for Annotations{T} where T are:

  _glyphlayout    "nothing"
align           (:left, :bottom)
ambient         Float32[0.55, 0.55, 0.55]
color           :black
diffuse         Float32[0.4, 0.4, 0.4]
font            "Dejavu Sans"
justification   AbstractPlotting.Automatic()
lightposition   :eyeposition
lineheight      1.0
linewidth       1
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
position        Float32[0.0, 0.0]
rotation        0.0
shininess       32.0f0
space           :screen
specular        Float32[0.2, 0.2, 0.2]
ssao            false
strokecolor     (:black, 0.0)
strokewidth     0
textsize        20
transparency    false
visible         true
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AbstractPlotting.arc!Method
arc(origin, radius, start_angle, stop_angle; kwargs...)

This function plots a circular arc, centered at origin with radius radius, from start_angle to stop_angle. origin must be a coordinate in 2 dimensions (i.e., a Point2); the rest of the arguments must be <: Number.

Examples:

arc(Point2f0(0), 1, 0.0, π) arc(Point2f0(1, 2), 0.3. π, -π)

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.arc!, T} where T are:

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AbstractPlotting.arcMethod
arc(origin, radius, start_angle, stop_angle; kwargs...)

This function plots a circular arc, centered at origin with radius radius, from start_angle to stop_angle. origin must be a coordinate in 2 dimensions (i.e., a Point2); the rest of the arguments must be <: Number.

Examples:

arc(Point2f0(0), 1, 0.0, π) arc(Point2f0(1, 2), 0.3. π, -π)

Attributes

Available attributes and their defaults for Arc{T} where T are:

  ambient         Float32[0.55, 0.55, 0.55]
color           :black
colormap        :viridis
colorrange      AbstractPlotting.Automatic()
diffuse         Float32[0.4, 0.4, 0.4]
lightposition   :eyeposition
linestyle       "nothing"
linewidth       1.0
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
resolution      361
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.arrows!Method
arrows(points, directions; kwargs...)
arrows(x, y, u, v)
arrows(x::AbstractVector, y::AbstractVector, u::AbstractMatrix, v::AbstractMatrix)
arrows(x, y, z, u, v, w)

Plots arrows at the specified points with the specified components. u and v are interpreted as vector components (u being the x and v being the y), and the vectors are plotted with the tails at x, y.

If x, y, u, v are <: AbstractVector, then each 'row' is plotted as a single vector.

If u, v are <: AbstractMatrix, then x and y are interpreted as specifications for a grid, and u, v are plotted as arrows along the grid.

arrows can also work in three dimensions.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.arrows!, T} where T are:

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AbstractPlotting.arrowsMethod
arrows(points, directions; kwargs...)
arrows(x, y, u, v)
arrows(x::AbstractVector, y::AbstractVector, u::AbstractMatrix, v::AbstractMatrix)
arrows(x, y, z, u, v, w)

Plots arrows at the specified points with the specified components. u and v are interpreted as vector components (u being the x and v being the y), and the vectors are plotted with the tails at x, y.

If x, y, u, v are <: AbstractVector, then each 'row' is plotted as a single vector.

If u, v are <: AbstractMatrix, then x and y are interpreted as specifications for a grid, and u, v are plotted as arrows along the grid.

arrows can also work in three dimensions.

Attributes

Available attributes and their defaults for Arrows{T} where T are:

  arrowcolor   :black
arrowsize    0.3
arrowtail    "nothing"
colormap     :viridis
lengthscale  1.0f0
linecolor    :black
linestyle    "nothing"
linewidth    1
normalize    false
scale        Float32[1.0, 1.0, 1.0]
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AbstractPlotting.axis3d!Method
axis3d!(args; attributes...)


Plots a 3-dimensional OldAxis.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.axis3d!, T} where T are:

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AbstractPlotting.axis3dMethod
axis3d(args; attributes...)


Plots a 3-dimensional OldAxis.

Attributes

OldAxis attributes and their defaults for Axis3D{T} where T are:

    showaxis: (true, true, true)
showgrid: (true, true, true)
visible: true
ticks:
rotation: (-0.7071067811865475 + -0.0im + -0.0jm - 0.7071067811865476km, -4.371139e-8 + 0.0im + 0.0jm + 1.0km, -3.090861907263062e-8 + 3.090861907263061e-8im + 0.7071067811865475jm + 0.7071067811865476km)
font: ("Dejavu Sans", "Dejavu Sans", "Dejavu Sans")
ranges_labels: (AbstractPlotting.Automatic(), AbstractPlotting.Automatic())
formatter: plain
textcolor: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.6f0))
align: ((:left, :center), (:right, :center), (:right, :center))
textsize: (5, 5, 5)
gap: 3
frame:
axiscolor: (:black, :black, :black)
axislinewidth: (1.5, 1.5, 1.5)
linewidth: (1, 1, 1)
linecolor: (RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0), RGBA{Float32}(0.5f0,0.5f0,0.5f0,0.4f0))
names:
axisnames: ("x", "y", "z")
rotation: (-0.7071067811865475 + -0.0im + -0.0jm - 0.7071067811865476km, -4.371139e-8 + 0.0im + 0.0jm + 1.0km, -3.090861907263062e-8 + 3.090861907263061e-8im + 0.7071067811865475jm + 0.7071067811865476km)
font: ("Dejavu Sans", "Dejavu Sans", "Dejavu Sans")
textcolor: (:black, :black, :black)
align: ((:left, :center), (:right, :center), (:right, :center))
textsize: (6.0, 6.0, 6.0)
gap: 3
showticks: (true, true, true)
scale: Float32[1.0, 1.0, 1.0]
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AbstractPlotting.band!Method

band(x, ylower, yupper; kwargs...) band(lower, upper; kwargs...)

Plots a band from ylower to yupper along x.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.band!, T} where T are:

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AbstractPlotting.bandMethod

band(x, ylower, yupper; kwargs...) band(lower, upper; kwargs...)

Plots a band from ylower to yupper along x.

Attributes

Available attributes and their defaults for Band{T} where T are:

  ambient         Float32[0.55, 0.55, 0.55]
color           RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.2f0)
colormap        :viridis
colorrange      AbstractPlotting.Automatic()
diffuse         Float32[0.4, 0.4, 0.4]
interpolate     false
lightposition   :eyeposition
linewidth       1
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.barplot!Method
barplot(x, y; kwargs...)

Plots a barplot; y defines the height. x and y should be 1 dimensional.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.barplot!, T} where T are:

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AbstractPlotting.barplotMethod
barplot(x, y; kwargs...)

Plots a barplot; y defines the height. x and y should be 1 dimensional.

Attributes

Available attributes and their defaults for BarPlot{T} where T are:

  color        :black
colormap     :viridis
colorrange   AbstractPlotting.Automatic()
direction    :y
fillto       0.0
marker       GeometryBasics.HyperRectangle
strokecolor  :white
strokewidth  0
visible      true
width        AbstractPlotting.Automatic()
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AbstractPlotting.boxplot!Method
boxplot(x, y; kwargs...)

Draw a Tukey style boxplot. The boxplot has 3 components:

• a crossbar spanning the interquartile (IQR) range with a midline marking the median
• an errorbar whose whiskers span range * iqr
• points marking outliers, that is, data outside the whiskers

Arguments

• x: positions of the categories
• y: variables within the boxes

Keywords

• orientation=:vertical: orientation of box (:vertical or :horizontal)
• width=0.8: width of the box
• show_notch=false: draw the notch
• notchwidth=0.5: multiplier of width for narrowest width of notch
• show_median=true: show median as midline
• range: multiple of IQR controlling whisker length
• whiskerwidth: multiplier of width for width of T's on whiskers, or :match to match width
• show_outliers: show outliers as points
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AbstractPlotting.boxplotMethod
boxplot(x, y; kwargs...)

Draw a Tukey style boxplot. The boxplot has 3 components:

• a crossbar spanning the interquartile (IQR) range with a midline marking the median
• an errorbar whose whiskers span range * iqr
• points marking outliers, that is, data outside the whiskers

Arguments

• x: positions of the categories
• y: variables within the boxes

Keywords

• orientation=:vertical: orientation of box (:vertical or :horizontal)
• width=0.8: width of the box
• show_notch=false: draw the notch
• notchwidth=0.5: multiplier of width for narrowest width of notch
• show_median=true: show median as midline
• range: multiple of IQR controlling whisker length
• whiskerwidth: multiplier of width for width of T's on whiskers, or :match to match width
• show_outliers: show outliers as points
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AbstractPlotting.cam3d_cad!Method
cam3d_cad!(scene; kw_args...)

Creates a 3D camera for scene which rotates around the viewer's "up" axis - similarly to how it's done in CAD software cameras.

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AbstractPlotting.contour!Method

contour(x, y, z)

Creates a contour plot of the plane spanning x::Vector, y::Vector, z::Matrix

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.contour!, T} where T are:

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AbstractPlotting.contourMethod

contour(x, y, z)

Creates a contour plot of the plane spanning x::Vector, y::Vector, z::Matrix

Attributes

Available attributes and their defaults for Contour{T} where T are:

  alpha           1.0
ambient         Float32[0.55, 0.55, 0.55]
color           "nothing"
colormap        :viridis
colorrange      AbstractPlotting.Automatic()
diffuse         Float32[0.4, 0.4, 0.4]
fillrange       false
levels          5
lightposition   :eyeposition
linewidth       1.0
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.contour3d!Method

contour3d(x, y, z)

Creates a 3D contour plot of the plane spanning x::Vector, y::Vector, z::Matrix, with z-elevation for each level.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.contour3d!, T} where T are:

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AbstractPlotting.contour3dMethod

contour3d(x, y, z)

Creates a 3D contour plot of the plane spanning x::Vector, y::Vector, z::Matrix, with z-elevation for each level.

Attributes

Available attributes and their defaults for Contour3d{T} where T are:

  alpha           1.0
ambient         Float32[0.55, 0.55, 0.55]
color           "nothing"
colormap        :viridis
colorrange      AbstractPlotting.Automatic()
diffuse         Float32[0.4, 0.4, 0.4]
fillrange       false
levels          5
lightposition   :eyeposition
linewidth       1.0
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.contourf!Method
contourf(xs, ys, zs; kwargs...)

Plots a filled contour of the height information in zs at horizontal grid positions xs and vertical grid positions ys.

The attribute levels can be either

• an Int that produces n equally wide levels or bands
• an AbstractVector{<:Real} that lists n consecutive edges from low to high, which result in n-1 levels or bands

If you want to show a band from -Inf to the low edge, set extendlow to :auto for the same color as the first level, or specify a different color (default nothing means no extended band) If you want to show a band from the high edge to Inf, set extendhigh to :auto for the same color as the last level, or specify a different color (default nothing means no extended band)

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.contourf!, T} where T are:

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AbstractPlotting.contourfMethod
contourf(xs, ys, zs; kwargs...)

Plots a filled contour of the height information in zs at horizontal grid positions xs and vertical grid positions ys.

The attribute levels can be either

• an Int that produces n equally wide levels or bands
• an AbstractVector{<:Real} that lists n consecutive edges from low to high, which result in n-1 levels or bands

If you want to show a band from -Inf to the low edge, set extendlow to :auto for the same color as the first level, or specify a different color (default nothing means no extended band) If you want to show a band from the high edge to Inf, set extendhigh to :auto for the same color as the last level, or specify a different color (default nothing means no extended band)

Attributes

Available attributes and their defaults for Contourf{T} where T are:

  colormap    :viridis
extendhigh  "nothing"
extendlow   "nothing"
levels      10
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AbstractPlotting.convert_argumentsMethod
convert_arguments(P, x, y, z)::(Vector)

Takes vectors x, y, and z and turns it into a vector of 3D points of the values from x, y, and z. P is the plot Type (it is optional).

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AbstractPlotting.convert_argumentsMethod
convert_arguments(P, x, y)::(Vector)

Takes vectors x and y and turns it into a vector of 2D points of the values from x and y.

P is the plot Type (it is optional).

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AbstractPlotting.convert_argumentsMethod
convert_arguments(P, y)::Vector

Takes vector y and generates a range from 1 to the length of y, for plotting on an arbitrary x axis.

P is the plot Type (it is optional).

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AbstractPlotting.convert_argumentsMethod
convert_arguments(P, Matrix)::Tuple{ClosedInterval, ClosedInterval, Matrix}

Takes an AbstractMatrix, converts the dimesions n and m into ClosedInterval, and stores the ClosedInterval to n and m, plus the original matrix in a Tuple.

P is the plot Type (it is optional).

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AbstractPlotting.convert_argumentsMethod
convert_arguments(P, x::VecOrMat, y::VecOrMat, z::Matrix)

Takes 3 AbstractMatrix x, y, and z, converts them to Float32 and outputs them in a Tuple.

P is the plot Type (it is optional).

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AbstractPlotting.convert_argumentsMethod
convert_arguments(P, x, y, z)::Tuple{ClosedInterval, ClosedInterval, Matrix}

Takes 2 ClosedIntervals's x, y, and an AbstractMatrix z, and converts the closed range to linspaces with size(z, 1/2) P is the plot Type (it is optional).

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AbstractPlotting.convert_argumentsMethod
convert_arguments(P, x, y, z, f)::(Vector, Vector, Vector, Matrix)

Takes AbstractVector x, y, and z and the function f, evaluates f on the volume spanned by x, y and z, and puts x, y, z and f(x,y,z) in a Tuple.

P is the plot Type (it is optional).

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AbstractPlotting.convert_argumentsMethod
convert_arguments(Mesh, x, y, z, indices)::GLNormalMesh

Takes real vectors x, y, z and constructs a triangle mesh out of those, using the faces in indices, which can be integers (every 3 -> one triangle), or GeometryBasics.NgonFace{N, <: Integer}.

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AbstractPlotting.convert_argumentsMethod
convert_arguments(Mesh, xyz::AbstractVector)::GLNormalMesh

Takes an input mesh and a vector xyz representing the vertices of the mesh, and creates indices under the assumption, that each triplet in xyz forms a triangle.

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AbstractPlotting.convert_argumentsMethod
convert_arguments(P, x, y, f)::(Vector, Vector, Matrix)

Takes vectors x and y and the function f, and applies f on the grid that x and y span. This is equivalent to f.(x, y'). P is the plot Type (it is optional).

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AbstractPlotting.convert_argumentsMethod
convert_arguments(P, Matrix)::Tuple{ClosedInterval, ClosedInterval, ClosedInterval, Matrix}

Takes an array of {T, 3} where T, converts the dimesions n, m and k into ClosedInterval, and stores the ClosedInterval to n, m and k, plus the original array in a Tuple.

P is the plot Type (it is optional).

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AbstractPlotting.convert_argumentsMethod
convert_arguments(P, x, y, z, i)::(Vector, Vector, Vector, Matrix)

Takes 3 AbstractVector x, y, and z and the AbstractMatrix i, and puts everything in a Tuple.

P is the plot Type (it is optional).

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AbstractPlotting.convert_attributeMethod
to_volume_algorithm(b, x)

Enum values: IsoValue Absorption MaximumIntensityProjection AbsorptionRGBA AdditiveRGBA IndexedAbsorptionRGBA

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AbstractPlotting.crossbar!Method

crossbar(x, y, ymin, ymax; kwargs...) Draw a crossbar. A crossbar represents a range with a (potentially notched) box. It is most commonly used as part of the boxplot.

Arguments

• x: position of the box
• y: position of the midline within the box
• ymin: lower limit of the box
• ymax: upper limit of the box

Keywords

• orientation=:vertical: orientation of box (:vertical or :horizontal)
• width=0.8: width of the box
• show_notch=false: draw the notch
• notchmin=automatic: lower limit of the notch
• notchmax=automatic: upper limit of the notch
• notchwidth=0.5: multiplier of width for narrowest width of notch
• show_midline=true: show midline
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AbstractPlotting.crossbarMethod

crossbar(x, y, ymin, ymax; kwargs...) Draw a crossbar. A crossbar represents a range with a (potentially notched) box. It is most commonly used as part of the boxplot.

Arguments

• x: position of the box
• y: position of the midline within the box
• ymin: lower limit of the box
• ymax: upper limit of the box

Keywords

• orientation=:vertical: orientation of box (:vertical or :horizontal)
• width=0.8: width of the box
• show_notch=false: draw the notch
• notchmin=automatic: lower limit of the notch
• notchmax=automatic: upper limit of the notch
• notchwidth=0.5: multiplier of width for narrowest width of notch
• show_midline=true: show midline
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AbstractPlotting.density!Method
density(values; npoints = 200, offset = 0.0, direction = :x)

Plot a kernel density estimate of values. npoints controls the resolution of the estimate, the baseline can be shifted with offset and the direction set to :x or :y. bandwidth and boundary are determined automatically by default.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.density!, T} where T are:

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AbstractPlotting.densityMethod
density(values; npoints = 200, offset = 0.0, direction = :x)

Plot a kernel density estimate of values. npoints controls the resolution of the estimate, the baseline can be shifted with offset and the direction set to :x or :y. bandwidth and boundary are determined automatically by default.

Attributes

Available attributes and their defaults for Density{T} where T are:

  bandwidth     AbstractPlotting.Automatic()
boundary      AbstractPlotting.Automatic()
color         :gray85
direction     :x
npoints       200
offset        0.0
strokearound  false
strokecolor   :black
strokewidth   1
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AbstractPlotting.errorbars!Method
errorbars(x, y, error_both; kwargs...)
errorbars(x, y, error_low, error_high; kwargs...)
errorbars(x, y, error_low_high; kwargs...)

errorbars(xy, error_both; kwargs...)
errorbars(xy, error_low, error_high; kwargs...)
errorbars(xy, error_low_high; kwargs...)

errorbars(xy_error_both; kwargs...)
errorbars(xy_error_low_high; kwargs...)

Plots errorbars at xy positions, extending by errors in the given direction.

If you want to plot intervals from low to high values instead of relative errors, use rangebars.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.errorbars!, T} where T are:

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AbstractPlotting.errorbarsMethod
errorbars(x, y, error_both; kwargs...)
errorbars(x, y, error_low, error_high; kwargs...)
errorbars(x, y, error_low_high; kwargs...)

errorbars(xy, error_both; kwargs...)
errorbars(xy, error_low, error_high; kwargs...)
errorbars(xy, error_low_high; kwargs...)

errorbars(xy_error_both; kwargs...)
errorbars(xy_error_low_high; kwargs...)

Plots errorbars at xy positions, extending by errors in the given direction.

If you want to plot intervals from low to high values instead of relative errors, use rangebars.

Attributes

Available attributes and their defaults for Errorbars{T} where T are:

  color         :black
colormap      :viridis
direction     :y
linewidth     1
visible       true
whiskerwidth  10
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AbstractPlotting.heatmap!Method
heatmap(x, y, values)
heatmap(values)

Plots a heatmap as an image on x, y (defaults to interpretation as dimensions).

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.heatmap!, T} where T are:

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AbstractPlotting.heatmapMethod
heatmap(x, y, values)
heatmap(values)

Plots a heatmap as an image on x, y (defaults to interpretation as dimensions).

Attributes

Available attributes and their defaults for Heatmap{T} where T are:

  ambient         Float32[0.55, 0.55, 0.55]
color           :black
colormap        :viridis
colorrange      AbstractPlotting.Automatic()
diffuse         Float32[0.4, 0.4, 0.4]
highclip        "nothing"
interpolate     false
levels          1
lightposition   :eyeposition
linewidth       0.0
lowclip         "nothing"
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.helpMethod
help(func[; extended = false])

Welcome to the main help function of Makie.jl / AbstractPlotting.jl.

For help on a specific function's arguments, type help_arguments(function_name).

For help on a specific function's attributes, type help_attributes(plot_Type).

Use the optional extended = true keyword argument to see more details.

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AbstractPlotting.help_attributesMethod
help_attributes([io], Union{PlotType, PlotFunction}; extended = false)

Returns a list of attributes for the plot type Typ. The attributes returned extend those attributes found in the default_theme.

Use the optional keyword argument extended (default = false) to show in addition the default values of each attribute. usage:

>help_attributes(scatter)
alpha
color
colormap
colorrange
distancefield
glowcolor
glowwidth
linewidth
marker
marker_offset
markersize
overdraw
rotations
strokecolor
strokewidth
transform_marker
transparency
uv_offset_width
visible
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AbstractPlotting.hist!Method
hist(values; bins = 15, normalization = :none)

Plot a histogram of values. bins can be an Int to create that number of equal-width bins over the range of values. Alternatively, it can be a sorted iterable of bin edges. The histogram can be normalized by setting normalization. Possible values are:

• :pdf: Normalize by sum of weights and bin sizes. Resulting histogram has norm 1 and represents a PDF.
• :density: Normalize by bin sizes only. Resulting histogram represents count density of input and does not have norm 1. Will not modify the histogram if it already represents a density (h.isdensity == 1).
• :probability: Normalize by sum of weights only. Resulting histogram represents the fraction of probability mass for each bin and does not have norm 1.
• :none: Do not normalize.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.hist!, T} where T are:

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AbstractPlotting.histMethod
hist(values; bins = 15, normalization = :none)

Plot a histogram of values. bins can be an Int to create that number of equal-width bins over the range of values. Alternatively, it can be a sorted iterable of bin edges. The histogram can be normalized by setting normalization. Possible values are:

• :pdf: Normalize by sum of weights and bin sizes. Resulting histogram has norm 1 and represents a PDF.
• :density: Normalize by bin sizes only. Resulting histogram represents count density of input and does not have norm 1. Will not modify the histogram if it already represents a density (h.isdensity == 1).
• :probability: Normalize by sum of weights only. Resulting histogram represents the fraction of probability mass for each bin and does not have norm 1.
• :none: Do not normalize.

Attributes

Available attributes and their defaults for Hist{T} where T are:

  bins           15
normalization  :none
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AbstractPlotting.image!Method
image(x, y, image)
image(image)

Plots an image on range x, y (defaults to dimensions).

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.image!, T} where T are:

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AbstractPlotting.imageMethod
image(x, y, image)
image(image)

Plots an image on range x, y (defaults to dimensions).

Attributes

Available attributes and their defaults for Image{T} where T are:

  ambient         Float32[0.55, 0.55, 0.55]
color           :black
colormap        [:black, :white]
colorrange      AbstractPlotting.Automatic()
diffuse         Float32[0.4, 0.4, 0.4]
highclip        "nothing"
interpolate     true
lightposition   :eyeposition
linewidth       1
lowclip         "nothing"
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.ispressedMethod
ispressed(scene, button)

Returns true if button is pressed in the given scene. The button can be a Keyboard button (e.g. Keyboard.a), a Mouse button (e.g. Mouse.left) or nothing. In the latter case true is always returned.

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AbstractPlotting.ispressedMethod
ispressed(scene, buttons)

Returns true if all buttons are pressed in the given scene. buttons can be a Vector or Tuple of Keyboard buttons (e.g. Keyboard.a), Mouse buttons (e.g. Mouse.left) and nothing.

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AbstractPlotting.liftMethod
lift(f, o1::Observables.AbstractObservable, rest...; init = f(to_value(o1), to_value.(rest)...), typ = typeof(init))

Create a new Observable by applying f to all observables in o1 and rest.... By default, the initial value init is determined by the first function evaluation. You can also set typ to control the parametric type of the Observable irrespective of the init value.

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AbstractPlotting.lines!Method
lines(positions)
lines(x, y)
lines(x, y, z)

Creates a connected line plot for each element in (x, y, z), (x, y) or positions.

Tip

You can separate segments by inserting NaNs.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.lines!, T} where T are:

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AbstractPlotting.linesMethod
lines(positions)
lines(x, y)
lines(x, y, z)

Creates a connected line plot for each element in (x, y, z), (x, y) or positions.

Tip

You can separate segments by inserting NaNs.

Attributes

Available attributes and their defaults for Lines{T} where T are:

  ambient         Float32[0.55, 0.55, 0.55]
color           :black
colormap        :viridis
colorrange      AbstractPlotting.Automatic()
diffuse         Float32[0.4, 0.4, 0.4]
lightposition   :eyeposition
linestyle       "nothing"
linewidth       1.0
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.linesegments!Method
linesegments(positions)
linesegments(x, y)
linesegments(x, y, z)

Plots a line for each pair of points in (x, y, z), (x, y), or positions.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.linesegments!, T} where T are:

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AbstractPlotting.linesegmentsMethod
linesegments(positions)
linesegments(x, y)
linesegments(x, y, z)

Plots a line for each pair of points in (x, y, z), (x, y), or positions.

Attributes

Available attributes and their defaults for LineSegments{T} where T are:

  ambient         Float32[0.55, 0.55, 0.55]
color           :black
colormap        :viridis
colorrange      AbstractPlotting.Automatic()
diffuse         Float32[0.4, 0.4, 0.4]
lightposition   :eyeposition
linestyle       "nothing"
linewidth       1.0
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.map_onceMethod
map_once(closure, inputs::Node....)::Node

Like Reactive.foreach, in the sense that it will be preserved even if no reference is kept. The difference is, that you can call map once multiple times with the same closure and it will close the old result Node and register a new one instead.

 function test(s1::Node) s3 = maponce(x-> (println("1 ", x); x), s1) s3 = maponce(x-> (println("2 ", x); x), s1)

end test(Node(1), Node(2))

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AbstractPlotting.mesh!Method
mesh(x, y, z)
mesh(mesh_object)
mesh(x, y, z, faces)
mesh(xyz, faces)

Plots a 3D or 2D mesh.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.mesh!, T} where T are:

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AbstractPlotting.meshMethod
mesh(x, y, z)
mesh(mesh_object)
mesh(x, y, z, faces)
mesh(xyz, faces)

Plots a 3D or 2D mesh.

Attributes

Available attributes and their defaults for Mesh{T} where T are:

  ambient         Float32[0.55, 0.55, 0.55]
color           :black
colormap        :viridis
colorrange      AbstractPlotting.Automatic()
diffuse         Float32[0.4, 0.4, 0.4]
interpolate     false
lightposition   :eyeposition
linewidth       1
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.meshscatter!Method
meshscatter(positions)
meshscatter(x, y)
meshscatter(x, y, z)

Plots a mesh for each element in (x, y, z), (x, y), or positions (similar to scatter). markersize is a scaling applied to the primitive passed as marker.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.meshscatter!, T} where T are:

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AbstractPlotting.meshscatterMethod
meshscatter(positions)
meshscatter(x, y)
meshscatter(x, y, z)

Plots a mesh for each element in (x, y, z), (x, y), or positions (similar to scatter). markersize is a scaling applied to the primitive passed as marker.

Attributes

Available attributes and their defaults for MeshScatter{T} where T are:

  ambient         Float32[0.55, 0.55, 0.55]
color           :black
colormap        :viridis
colorrange      AbstractPlotting.Automatic()
diffuse         Float32[0.4, 0.4, 0.4]
lightposition   :eyeposition
linewidth       1
marker          Sphere{Float32}(Float32[0.0, 0.0, 0.0], 1.0f0)
markersize      0.1
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
rotations       1.0 + 0.0im + 0.0jm + 0.0km
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.mousepositionFunction
mouseposition(scene = hovered_scene()) -> pos

Return the current position of the mouse pos in data points of the given scene.

By default uses the scene that the mouse is currently hovering over.

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AbstractPlotting.onpickMethod
onpick(f, scene::SceneLike, plots::AbstractPlot...)

Calls f(idx) whenever the mouse is over any of plots. idx is an index, e.g. when over a scatter plot, it will be the index of the hovered element

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AbstractPlotting.pie!Method
pie(fractions; kwargs...)

Creates a pie chart with the given fractions.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.pie!, T} where T are:

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AbstractPlotting.pieMethod
pie(fractions; kwargs...)

Creates a pie chart with the given fractions.

Attributes

Available attributes and their defaults for Pie{T} where T are:

  color           :gray
normalize       true
offset          0
strokecolor     :black
strokewidth     1
vertex_per_deg  1
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AbstractPlotting.poly!Method
poly(vertices, indices; kwargs...)
poly(points; kwargs...)
poly(shape; kwargs...)
poly(mesh; kwargs...)

Plots a polygon based on the arguments given. When vertices and indices are given, it functions similarly to mesh. When points are given, it draws one polygon that connects all the points in order. When a shape is given (essentially anything decomposable by GeometryBasics), it will plot decompose(shape).

poly(coordinates, connectivity; kwargs...)

Plots polygons, which are defined by coordinates (the coordinates of the vertices) and connectivity (the edges between the vertices).

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.poly!, T} where T are:

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AbstractPlotting.polyMethod
poly(vertices, indices; kwargs...)
poly(points; kwargs...)
poly(shape; kwargs...)
poly(mesh; kwargs...)

Plots a polygon based on the arguments given. When vertices and indices are given, it functions similarly to mesh. When points are given, it draws one polygon that connects all the points in order. When a shape is given (essentially anything decomposable by GeometryBasics), it will plot decompose(shape).

poly(coordinates, connectivity; kwargs...)

Plots polygons, which are defined by coordinates (the coordinates of the vertices) and connectivity (the edges between the vertices).

Attributes

Available attributes and their defaults for Poly{T} where T are:

  color         :black
colormap      :viridis
colorrange    AbstractPlotting.Automatic()
linestyle     "nothing"
overdraw      false
strokecolor   RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
strokewidth   1.0
transparency  false
visible       true
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AbstractPlotting.rangebars!Method
rangebars(val, low, high; kwargs...)
rangebars(val, low_high; kwargs...)
rangebars(val_low_high; kwargs...)

Plots rangebars at val in one dimension, extending from low to high in the other dimension given the chosen direction.

If you want to plot errors relative to a reference value, use errorbars.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.rangebars!, T} where T are:

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AbstractPlotting.rangebarsMethod
rangebars(val, low, high; kwargs...)
rangebars(val, low_high; kwargs...)
rangebars(val_low_high; kwargs...)

Plots rangebars at val in one dimension, extending from low to high in the other dimension given the chosen direction.

If you want to plot errors relative to a reference value, use errorbars.

Attributes

Available attributes and their defaults for Rangebars{T} where T are:

  color         :black
colormap      :viridis
direction     :y
linewidth     1
visible       true
whiskerwidth  10
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AbstractPlotting.recordMethod
record(func, scene, path; framerate = 24, compression = 20)
record(func, scene, path, iter;
framerate = 24, compression = 20, sleep = true)

The first signature provides func with a VideoStream, which it should call recordframe!(io) on when recording a frame.

Records the Scene scene after the application of func on it for each element in itr (any iterator). func must accept an element of itr.

The animation is then saved to path, with the format determined by path's extension. Allowable extensions are:

• .mkv (the default, doesn't need to convert)
• .mp4 (good for Web, most supported format)
• .webm (smallest file size)
• .gif (largest file size for the same quality)

.mp4 and .mk4 are marginally bigger and .gifs are up to 6 times bigger with the same quality!

The compression argument controls the compression ratio; 51 is the highest compression, and 0 is the lowest (lossless).

When sleep is set to true (the default), AbstractPlotting will display the animation in real-time by sleeping in between frames. Thus, a 24-frame, 24-fps recording would take one second to record.

When it is set to false, frames are rendered as fast as the backend can render them. Thus, a 24-frame, 24-fps recording would usually take much less than one second in GLMakie.

Typical usage patterns would look like:

record(scene, "video.mp4", itr) do i
func(i) # or some other manipulation of the Scene
end

or, for more tweakability,

record(scene, "test.gif") do io
for i = 1:100
func!(scene)     # animate scene
recordframe!(io) # record a new frame
end
end

If you want a more tweakable interface, consider using VideoStream and save.

Extended help

Examples

scene = lines(rand(10))
record(scene, "test.gif") do io
for i in 1:255
scene.plots[:color] = Colors.RGB(i/255, (255 - i)/255, 0) # animate scene
recordframe!(io)
end
end

or

scene = lines(rand(10))
record(scene, "test.gif", 1:255) do i
scene.plots[:color] = Colors.RGB(i/255, (255 - i)/255, 0) # animate scene
end
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AbstractPlotting.record_eventsMethod
record_events(f, scene::Scene, path::String)

Records all window events that happen while executing function f for scene and serializes them to path.

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AbstractPlotting.replay_eventsMethod
replay_events(f, scene::Scene, path::String)
replay_events(scene::Scene, path::String)

Replays the serialized events recorded with record_events in path in scene.

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AbstractPlotting.rotate!Method
rotate!(scene::Transformable, axis_rot::Quaternion)
rotate!(scene::Transformable, axis_rot::AbstractFloat)
rotate!(scene::Transformable, axis_rot...)

Apply an absolute rotation to the Scene. Rotations are all internally converted to Quaternions.

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AbstractPlotting.rotate_cam!Method
rotate_cam!(scene::Scene, theta_v::Number...)
rotate_cam!(scene::Scene, theta_v::VecTypes)

Rotate the camera of the Scene by the given rotation. Passing theta_v = (α, β, γ) will rotate the camera according to the Euler angles (α, β, γ).

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AbstractPlotting.scale!Method
scale!(t::Transformable, x, y)
scale!(t::Transformable, x, y, z)
scale!(t::Transformable, xyz)
scale!(t::Transformable, xyz...)

Scale the given Transformable (a Scene or Plot) to the given arguments. Can take x, y or x, y, z. This is an absolute scaling, and there is no option to perform relative scaling.

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AbstractPlotting.scatter!Method
scatter(positions)
scatter(x, y)
scatter(x, y, z)

Plots a marker for each element in (x, y, z), (x, y), or positions.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.scatter!, T} where T are:

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AbstractPlotting.scatterMethod
scatter(positions)
scatter(x, y)
scatter(x, y, z)

Plots a marker for each element in (x, y, z), (x, y), or positions.

Attributes

Available attributes and their defaults for Scatter{T} where T are:

  ambient           Float32[0.55, 0.55, 0.55]
color             :gray65
colormap          :viridis
colorrange        AbstractPlotting.Automatic()
diffuse           Float32[0.4, 0.4, 0.4]
distancefield     "nothing"
glowcolor         RGBA{N0f8}(0.0,0.0,0.0,0.0)
glowwidth         0.0
lightposition     :eyeposition
linewidth         1
marker            Circle{T} where T
marker_offset     AbstractPlotting.Automatic()
markersize        10
markerspace       Pixel
nan_color         RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw          false
rotations         Billboard()
shininess         32.0f0
specular          Float32[0.2, 0.2, 0.2]
ssao              false
strokecolor       :black
strokewidth       1.0
transform_marker  false
transparency      false
uv_offset_width   Float32[0.0, 0.0, 0.0, 0.0]
visible           true
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AbstractPlotting.scatterlines!Method
scatterlines(xs, ys, [zs]; kwargs...)

Plots scatter markers and lines between them.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.scatterlines!, T} where T are:

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AbstractPlotting.scatterlinesMethod
scatterlines(xs, ys, [zs]; kwargs...)

Plots scatter markers and lines between them.

Attributes

Available attributes and their defaults for ScatterLines{T} where T are:

  color             :black
colormap          :viridis
colorrange        AbstractPlotting.Automatic()
linestyle         "nothing"
linewidth         1.0
marker            Circle{T} where T
markercolor       :gray65
markercolormap    :viridis
markercolorrange  AbstractPlotting.Automatic()
markersize        10
strokecolor       :black
strokewidth       1.0
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AbstractPlotting.select_lineMethod
select_line(scene; kwargs...) -> line

Interactively select a line (typically an arrow) on a 2D scene by clicking the left mouse button, dragging and then un-clicking. Return an observable whose value corresponds to the selected line on the scene. In addition the function plots the line on the scene as the user clicks and moves the mouse around. When the button is not clicked any more, the plotted line disappears.

The value of the returned line is updated only when the user un-clicks and only if the selected line has non-zero length.

The kwargs... are propagated into lines! which plots the selected line.

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AbstractPlotting.select_pointMethod
select_point(scene; kwargs...) -> point

Interactively select a point on a 2D scene by clicking the left mouse button, dragging and then un-clicking. Return an observable whose value corresponds to the selected point on the scene. In addition the function plots the point on the scene as the user clicks and moves the mouse around. When the button is not clicked any more, the plotted point disappears.

The value of the returned point is updated only when the user un-clicks.

The kwargs... are propagated into scatter! which plots the selected point.

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AbstractPlotting.select_rectangleMethod
select_rectangle(scene; kwargs...) -> rect

Interactively select a rectangle on a 2D scene by clicking the left mouse button, dragging and then un-clicking. The function returns an observable rect whose value corresponds to the selected rectangle on the scene. In addition the function plots the selected rectangle on the scene as the user clicks and moves the mouse around. When the button is not clicked any more, the plotted rectangle disappears.

The value of the returned observable is updated only when the user un-clicks (i.e. when the final value of the rectangle has been decided) and only if the rectangle has area > 0.

The kwargs... are propagated into lines! which plots the selected rectangle.

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AbstractPlotting.series!Method

Series - ?

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.series!, T} where T are:

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AbstractPlotting.seriesMethod

Series - ?

Attributes

Available attributes and their defaults for Series{T} where T are:

  seriescolors  :Set1
seriestype    :lines
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AbstractPlotting.showgradientsMethod
showgradients(
h = 0.0, offset = 0.2, textsize = 0.7,
resolution = (800, length(cgrads) * 84)
)::Scene

Plots the given colour gradients arranged as horizontal colourbars. If you change the offsets or the font size, you may need to change the resolution.

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AbstractPlotting.spy!Method

spy(x::Range, y::Range, z::AbstractSparseArray)

Visualizes big sparse matrices. Usage:

N = 200_000
x = sprand(Float64, N, N, (3(10^6)) / (N*N));
spy(x)
# or if you want to specify the range of x and y:
spy(0..1, 0..1, x)

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.spy!, T} where T are:

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AbstractPlotting.spyMethod

spy(x::Range, y::Range, z::AbstractSparseArray)

Visualizes big sparse matrices. Usage:

N = 200_000
x = sprand(Float64, N, N, (3(10^6)) / (N*N));
spy(x)
# or if you want to specify the range of x and y:
spy(0..1, 0..1, x)

Attributes

Available attributes and their defaults for Spy{T} where T are:

  colormap    :viridis
colorrange  AbstractPlotting.Automatic()
framecolor  :black
framesize   1
marker      AbstractPlotting.Automatic()
markersize  AbstractPlotting.Automatic()
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AbstractPlotting.stem!Method
stem(xs, ys, [zs]; kwargs...)

Plots markers at the given positions extending from offset along stem lines.

offset can be a number, in which case it sets y for 2D, and z for 3D stems. It can be a Point2 for 2D plots, as well as a Point3 for 3D plots. It can also be an iterable of any of these at the same length as xs, ys, zs.

The conversion trait of stem is PointBased.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.stem!, T} where T are:

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AbstractPlotting.stemMethod
stem(xs, ys, [zs]; kwargs...)

Plots markers at the given positions extending from offset along stem lines.

offset can be a number, in which case it sets y for 2D, and z for 3D stems. It can be a Point2 for 2D plots, as well as a Point3 for 3D plots. It can also be an iterable of any of these at the same length as xs, ys, zs.

The conversion trait of stem is PointBased.

Attributes

Available attributes and their defaults for Stem{T} where T are:

  color            :gray65
colormap         :viridis
colorrange       AbstractPlotting.Automatic()
marker           :circle
markersize       10
offset           0
stemcolor        :black
stemcolormap     :viridis
stemcolorrange   AbstractPlotting.Automatic()
stemlinestyle    "nothing"
stemwidth        1
strokecolor      :black
strokewidth      1
trunkcolor       :black
trunkcolormap    :viridis
trunkcolorrange  AbstractPlotting.Automatic()
trunklinestyle   "nothing"
trunkwidth       1
visible          true
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AbstractPlotting.step!Method
step!(s::Stepper)

steps through a Makie.Stepper and outputs a file with filename filename-step.jpg. This is useful for generating progressive plot examples.

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AbstractPlotting.streamplot!Method

streamplot(f::function, xinterval, yinterval; kwargs...)

f must either accept f(::Point) or f(x::Number, y::Number). f must return a Point2.

Example:

v(x::Point2{T}) where T = Point2f0(x[2], 4*x[1])
streamplot(v, -2..2, -2..2)

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.streamplot!, T} where T are:

Implementation

See the function AbstractPlotting.streamplot_impl for implementation details.

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AbstractPlotting.streamplotMethod

streamplot(f::function, xinterval, yinterval; kwargs...)

f must either accept f(::Point) or f(x::Number, y::Number). f must return a Point2.

Example:

v(x::Point2{T}) where T = Point2f0(x[2], 4*x[1])
streamplot(v, -2..2, -2..2)

Attributes

Available attributes and their defaults for StreamPlot{T} where T are:

  ambient         Float32[0.55, 0.55, 0.55]
arrow_size      0.03
color           :black
colormap        :viridis
colorrange      AbstractPlotting.Automatic()
density         1.0
diffuse         Float32[0.4, 0.4, 0.4]
gridsize        (32, 32, 32)
lightposition   :eyeposition
linestyle       "nothing"
linewidth       1.0
maxsteps        500
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
stepsize        0.01
transparency    false
visible         true

Implementation

See the function AbstractPlotting.streamplot_impl for implementation details.

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AbstractPlotting.surface!Method
surface(x, y, z)

Plots a surface, where (x, y) define a grid whose heights are the entries in z. x and y may be Vectors which define a regular grid, or Matrices which define an irregular grid.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.surface!, T} where T are:

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AbstractPlotting.surfaceMethod
surface(x, y, z)

Plots a surface, where (x, y) define a grid whose heights are the entries in z. x and y may be Vectors which define a regular grid, or Matrices which define an irregular grid.

Attributes

Available attributes and their defaults for Surface{T} where T are:

  ambient         Float32[0.55, 0.55, 0.55]
color           "nothing"
colormap        :viridis
colorrange      AbstractPlotting.Automatic()
diffuse         Float32[0.4, 0.4, 0.4]
highclip        "nothing"
invert_normals  false
lightposition   :eyeposition
linewidth       1
lowclip         "nothing"
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.text!Method
text(string)

Plots a text.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.text!, T} where T are:

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AbstractPlotting.textMethod
text(string)

Plots a text.

Attributes

Available attributes and their defaults for AbstractPlotting.Text{T} where T are:

  _glyphlayout    "nothing"
align           (:left, :bottom)
ambient         Float32[0.55, 0.55, 0.55]
color           :black
diffuse         Float32[0.4, 0.4, 0.4]
font            "Dejavu Sans"
justification   AbstractPlotting.Automatic()
lightposition   :eyeposition
lineheight      1.0
linewidth       1
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
position        Float32[0.0, 0.0]
rotation        0.0
shininess       32.0f0
space           :screen
specular        Float32[0.2, 0.2, 0.2]
ssao            false
strokecolor     (:black, 0.0)
strokewidth     0
textsize        20
transparency    false
visible         true
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AbstractPlotting.timeseries!Method
timeseries(x::Node{{Union{Number, Point2}}})

Plots a sampled signal. Usage:

signal = Node(1.0)
scene = timeseries(signal)
display(scene)
# @async is optional, but helps to continue evaluating more code
@async while isopen(scene)
# aquire data from e.g. a sensor:
data = rand()
# update the signal
signal[] = data
# sleep/ wait for new data/ whatever...
# It's important to yield here though, otherwise nothing will be rendered
sleep(1/30)
end

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AbstractPlotting.timeseriesMethod
timeseries(x::Node{{Union{Number, Point2}}})

Plots a sampled signal. Usage:

signal = Node(1.0)
scene = timeseries(signal)
display(scene)
# @async is optional, but helps to continue evaluating more code
@async while isopen(scene)
# aquire data from e.g. a sensor:
data = rand()
# update the signal
signal[] = data
# sleep/ wait for new data/ whatever...
# It's important to yield here though, otherwise nothing will be rendered
sleep(1/30)
end

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AbstractPlotting.titleMethod
title(
[scene=current_scene(), ], string;
align = (:center, :bottom), textsize = 30, parent = Scene(), formatter = string, kw...
)

Add a title with content string to scene. Pass a Function to the formatter kwarg if the value passed to string isn't actually a String.

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AbstractPlotting.to_colormapMethod
to_colormap(cm[, N = 20])

Converts a colormap cm symbol (e.g. :Spectral) to a colormap RGB array, where N specifies the number of color points.

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AbstractPlotting.translate!Method
translate!(scene::Transformable, xyz::VecTypes)
translate!(scene::Transformable, xyz...)

Apply an absolute translation to the Scene, translating it to x, y, z.

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AbstractPlotting.update!Method
update!(p::Scene)

Updates a Scene and all its children. Update will perform the following operations for every scene:

if !scene.raw[]
scene.update_limits[] && update_limits!(scene)
scene.scale_plot[] && scale_scene!(scene)
scene.center[] && center!(scene)
end
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AbstractPlotting.update_cam!Method
update_cam!(scene::SceneLike)

Updates the camera for the given scene to cover the limits of the Scene. Useful when using the Node pipeline.

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AbstractPlotting.update_limits!Function
update_limits!(scene::Scene, new_limits::Rect, padding = Vec3f0(0))

This function updates the limits of the given Scene according to the given Rect.

A Rect is a generalization of a rectangle to n dimensions. It contains two vectors. The first vector defines the origin; the second defines the displacement of the vertices from the origin. This second vector can be thought of in two dimensions as a vector of width (x-axis) and height (y-axis), and in three dimensions as a vector of the width (x-axis), breadth (y-axis), and height (z-axis).

Such a Rect can be constructed using the FRect or FRect3D functions that are exported by AbstractPlotting.jl. See their documentation for more information.

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AbstractPlotting.update_limits!Method
update_limits!(scene::Scene, limits::Union{Automatic, Rect} = scene.limits[], padding = scene.padding[])

This function updates the limits of the Scene passed to it based on its data. If an actual limit is set by the theme or its attributes (scene.limits !== automatic), it will not update the limits. Call update_limits!(scene, automatic) for that.

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AbstractPlotting.volume!Method
volume(volume_data)

Plots a volume. Available algorithms are:

• :iso => IsoValue
• :absorption => Absorption
• :mip => MaximumIntensityProjection
• :absorptionrgba => AbsorptionRGBA
• :additive => AdditiveRGBA
• :indexedabsorption => IndexedAbsorptionRGBA

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.volume!, T} where T are:

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AbstractPlotting.volumeMethod
volume(volume_data)

Plots a volume. Available algorithms are:

• :iso => IsoValue
• :absorption => Absorption
• :mip => MaximumIntensityProjection
• :absorptionrgba => AbsorptionRGBA
• :additive => AdditiveRGBA
• :indexedabsorption => IndexedAbsorptionRGBA

Attributes

Available attributes and their defaults for Volume{T} where T are:

  algorithm       :mip
ambient         Float32[0.55, 0.55, 0.55]
color           "nothing"
colormap        :viridis
colorrange      (0, 1)
diffuse         Float32[0.4, 0.4, 0.4]
isorange        0.05
isovalue        0.5
lightposition   :eyeposition
linewidth       1
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.volumeslicesMethod

VolumeSlices

Attributes

Available attributes and their defaults for VolumeSlices{T} where T are:

  alpha       0.1
colormap    :viridis
colorrange  "nothing"
contour     Attributes with 0 entries
heatmap     Attributes with 0 entries
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AbstractPlotting.wireframe!Method
wireframe(x, y, z)
wireframe(positions)
wireframe(mesh)

Draws a wireframe, either interpreted as a surface or as a mesh.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.wireframe!, T} where T are:

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AbstractPlotting.wireframeMethod
wireframe(x, y, z)
wireframe(positions)
wireframe(mesh)

Draws a wireframe, either interpreted as a surface or as a mesh.

Attributes

Available attributes and their defaults for Wireframe{T} where T are:

  ambient         Float32[0.55, 0.55, 0.55]
color           :black
colormap        :viridis
colorrange      AbstractPlotting.Automatic()
diffuse         Float32[0.4, 0.4, 0.4]
lightposition   :eyeposition
linestyle       "nothing"
linewidth       1.0
nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
overdraw        false
shininess       32.0f0
specular        Float32[0.2, 0.2, 0.2]
ssao            false
transparency    false
visible         true
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AbstractPlotting.with_themeFunction
with_theme(f, theme = Theme(); kwargs...)

Calls f with theme temporarily activated. Attributes in theme can be overridden or extended with kwargs. The previous theme is always restored afterwards, no matter if f succeeds or fails.

Example:

my_theme = Theme(resolution = (500, 500), color = :red)
with_theme(my_theme, color = :blue, linestyle = :dashed) do
scatter(randn(100, 2))
end
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AbstractPlotting.xlims!Method
xlims!(limits::Real...)
xlims!(limits::NTuple{2, Real})
xlims!(scene, limits::Real...)
xlims!(scene, limits::NTuple{2, Real})

Set the x-limits for the given Scene (defaults to current Scene).

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AbstractPlotting.xticks!Function
xticks!([scene,]; xtickrange=xtickrange(scene), xticklabels=xticklabel(scene))

Set the tick labels and range along the x-axes. See also ticks!.

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AbstractPlotting.ylims!Method
ylims!(limits::Real...)
ylims!(limits::NTuple{2, Real})
ylims!(scene, limits::Real...)
ylims!(scene, limits::NTuple{2, Real})

Set the y-limits for the given Scene (defaults to current Scene).

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AbstractPlotting.yticks!Function
yticks!([scene,]; ytickrange=ytickrange(scene), yticklabels=yticklabel(scene))

Set the tick labels and range along all the y-axis. See also ticks!.

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AbstractPlotting.zlabel!Method
zlabel!([scene,] zlabel)

Set the z-axis label for the given Scene. Defaults to using the current Scene.

Warning

The Scene must have an Axis3D. If not, then this function will error.

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AbstractPlotting.zlims!Method
zlims!(limits::Real...)
zlims!(limits::NTuple{2, Real})
zlims!(scene, limits::Real...)
zlims!(scene, limits::NTuple{2, Real})

Set the z-limits for the given Scene (defaults to current Scene).

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AbstractPlotting.zoom!Method
zoom!(scene, point, zoom_step, shift_lookat::Bool)

Zooms the camera of scene in towards point by a factor of zoom_step. A positive zoom_step zooms in while a negative zoom_step zooms out.

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AbstractPlotting.zticks!Function
zticks!([scene,]; ztickranges=ztickrange(scene), zticklabels=zticklabel(scene))

Set the tick labels and range along all z-axis. See also ticks!.

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FileIO.saveMethod
FileIO.save(filename, scene; resolution = size(scene), pt_per_unit = 1.0, px_per_unit = 1.0)

Save a Scene with the specified filename and format.

Supported Formats

• GLMakie: .png, .jpeg, and .bmp
• CairoMakie: .svg, .pdf, .png, and .jpeg
• WGLMakie: .png

Supported Keyword Arguments

All Backends

• resolution: (width::Int, height::Int) of the scene in dimensionless units (equivalent to px for GLMakie and WGLMakie).

CairoMakie

• pt_per_unit: The size of one scene unit in pt when exporting to a vector format.
• px_per_unit: The size of one scene unit in px when exporting to a bitmap format. This provides a mechanism to export the same scene with higher or lower resolution.
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FileIO.saveMethod
save(path::String, io::VideoStream; framerate = 24, compression = 20)

Flushes the video stream and converts the file to the extension found in path, which can be one of the following:

• .mkv (the default, doesn't need to convert)
• .mp4 (good for Web, most supported format)
• .webm (smallest file size)
• .gif (largest file size for the same quality)

.mp4 and .mk4 are marginally bigger and .gifs are up to 6 times bigger with the same quality!

The compression argument controls the compression ratio; 51 is the highest compression, and 0 is the lowest (lossless).

See the docs of VideoStream for how to create a VideoStream. If you want a simpler interface, consider using record.

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Observables.onMethod
on(f, c::Camera, nodes::Node...)

When mapping over nodes for the camera, we store them in the steering_node vector, to make it easier to disconnect the camera steering signals later!

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AbstractPlotting.@get_attributeMacro
@get_attribute scene (a, b, c, d)

This will extract attribute a, b, c, d from scene and apply the correct attribute conversions + will extract the value if it's a signal. It will make those attributes available as variables and return them as a tuple. So the above is equal to: will become:

begin
a = get_attribute(scene, :a)
b = get_attribute(scene, :b)
c = get_attribute(scene, :c)
(a, b, c)
end
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AbstractPlotting.@liftMacro

Replaces an expression with lift(argtuple -> expression, args...), where args are all expressions inside the main one that begin with $. Example: x = Node(rand(100)) y = Node(rand(100)) before z = lift((x, y) -> x .+ y, x, y) after z = @lift(x .+ y) You can also use parentheses around an expression if that expression evaluates to a node. nt = (x = Node(1), y = Node(2)) @lift($(nt.x) + \$(nt.y))
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AbstractPlotting.@recipeMacro

Plot Recipes in AbstractPlotting

There's two types of recipes. Type recipes define a simple mapping from a user defined type to an existing plot type. Full recipes can customize the theme and define a custom plotting function.

Type recipes

Type recipe are really simple and just overload the argument conversion pipeline. This can be done for all plot types or for a subset of plot types:

# All plot types
convert_arguments(P::Type{<:AbstractPlot}, x::MyType) = convert_arguments(P, rand(10, 10))
# Only for scatter plots
convert_arguments(P::Type{<:Scatter}, x::MyType) = convert_arguments(P, rand(10, 10))

Optionally you may define the default plot type so that plot(x::MyType) will use this:

plottype(::MyType) = Surface

Full recipes with the @recipe macro

A full recipe for MyPlot comes in two parts. First is the plot type name, arguments and theme definition which are defined using the @recipe macro. Second is a custom plot! for MyPlot, implemented in terms of the atomic plotting functions.

We use an example to show how this works:

# arguments (x, y, z) && theme are optional
@recipe(MyPlot, x, y, z) do scene
Attributes(
plot_color => :red
)
end

This macro expands to several things. Firstly a type definition:

const MyPlot{ArgTypes} = Combined{myplot, ArgTypes}

The type parameter of Combined contains the function instead of e.g. a symbol. This way the mapping from MyPlot to myplot is safer and simpler. (The downside is we always need a function myplot - TODO: is this a problem?)

The following signatures are defined to make MyPlot nice to use:

myplot(args...; kw_args...) = ...
myplot!(scene, args...; kw_args...) = ...
myplot(kw_args::Dict, args...) = ...
myplot!(scene, kw_args::Dict, args...) = ...
#etc (not 100% settled what signatures there will be)

A specialization of argument_names is emitted if you have an argument list (x,y,z) provided to the recipe macro:

argument_names(::Type{<: MyPlot}) = (:x, :y, :z)

This is optional but it will allow the use of plot_object[:x] to fetch the first argument from the call plot_object = myplot(rand(10), rand(10), rand(10)), for example. Alternatively you can always fetch the ith argument using plot_object[i], and if you leave out the (x,y,z), the default version of argument_names will provide plot_object[:arg1] etc.

The theme given in the body of the @recipe invocation is inserted into a specialization of default_theme which inserts the theme into any scene that plots MyPlot:

function default_theme(scene, ::MyPlot)
Attributes(
plot_color => :red
)
end

As the second part of defining MyPlot, you should implement the actual plotting of the MyPlot object by specializing plot!:

function plot!(plot::MyPlot)
# normal plotting code, building on any previously defined recipes
# or atomic plotting operations, and adding to the combined plot:
lines!(plot, rand(10), color = plot[:plot_color])
plot!(plot, plot[:x], plot[:y])
plot
end

It's possible to add specializations here, depending on the argument types supplied to myplot. For example, to specialize the behavior of myplot(a) when a is a 3D array of floating point numbers:

const MyVolume = MyPlot{Tuple{<:AbstractArray{<: AbstractFloat, 3}}}
argument_names(::Type{<: MyVolume}) = (:volume,) # again, optional
function plot!(plot::MyVolume)
# plot a volume with a colormap going from fully transparent to plot_color
volume!(plot, plot[:volume], colormap = :transparent => plot[:plot_color])
plot
end

The docstring given to the recipe will be transferred to the functions it generates.

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## Unexported

AbstractPlotting.AbstractPatternType
AbstractPattern{T} <: AbstractArray{T, 2}

AbstractPatterns are image-like array types which can be used to color plottable objects. There are currently two subtypes: LinePattern and ImagePattern. Any abstract pattern must implement the to_image(pat) function, which must return a Matrix{<: AbstractRGB}.

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AbstractPlotting.ColorSamplerType

A colorsampler maps numnber values from a certain range to values of a colormap

x = ColorSampler(colormap, (0.0, 1.0))
x[0.5] # returns color at half point of colormap
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AbstractPlotting.DeviceIndependentPixelType

https://en.wikipedia.org/wiki/Device-independent_pixel A device-independent pixel (also: density-independent pixel, dip, dp) is a physical unit of measurement based on a coordinate system held by a computer and represents an abstraction of a pixel for use by an application that an underlying system then converts to physical pixels.

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AbstractPlotting.FastPixelType
FastPixel()

Use

scatter(..., marker=FastPixel())

For significant faster plotting times for large amount of points. Note, that this will draw markers always as 1 pixel.

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AbstractPlotting.FolderStepperType
Stepper(scene, path; format = :jpg)

Creates a Stepper for generating progressive plot examples.

Each "step" is saved as a separate file in the folder pointed to by path, and the format is customizable by format, which can be any output type your backend supports.

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AbstractPlotting.GlyphlayoutType
Glyphlayout

Stores information about the glyphs in a string that had a layout calculated for them. origins are the character origins relative to the layout's [0,0] point (the alignment) and rotation anchor). bboxes are the glyph bounding boxes relative to the glyphs' own origins. hadvances are the horizontal advance values, those are mostly needed for interactive purposes, for example to display a cursor at the right offset from a space character.

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AbstractPlotting.LinePatternMethod
LinePattern([; kwargs...])

Creates a LinePattern for the given keyword arguments:

• direction: The direction of the line.
• width: The width of the line
• tilesize: The size of the image on which the line is drawn. This should be

compatible with the direction.

• shift: Sets the starting point for the line.
• linecolor: The color with which the line is replaced.
• background_color:: The background color.

Multiple directions, widths and shifts can also be given to create more complex patterns, e.g. a cross-hatching pattern.

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AbstractPlotting.MillimeterType

Millimeter on screen. This unit respects the dimension and pixel density of the screen to represent millimeters on the screen. This is the must use unit for layouting, that needs to look the same on all kind of screens. Similar as with the Pixel unit, a camera can change the actually displayed dimensions of any object using the millimeter unit.

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AbstractPlotting.OnFieldUpdateType

attributes.attribute returns an observable. Since we don't actually convert all values to Observables anymore, we'll need to create new Observables on getproperty. With OnFieldUpdate, we can do that lazily, store them in listeners(onchange(obs)), and only create a new one for fields that aren't in listeners yet.

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AbstractPlotting.TransformableType
abstract type Transformable

This is a bit of a weird name, but all scenes and plots are transformable, so that's what they all have in common. This might be better expressed as traits.

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AbstractPlotting._group_polysMethod
_group_polys(points, ids)

Given a vector of polygon vertices, and one vector of group indices, which are assumed to be returned from the isoband algorithm, return a vector of groups, where each group has one outer polygon and zero or more inner polygons which are holes in the outer polygon. It is possible that one group has multiple outer polygons with multiple holes each.

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AbstractPlotting.colorbufferFunction
colorbuffer(scene, format::ImageStorageFormat = JuliaNative)
colorbuffer(screen, format::ImageStorageFormat = JuliaNative)

Returns the content of the given scene or screen rasterised to a Matrix of Colors. The return type is backend-dependent, but will be some form of RGB or RGBA.

• format = JuliaNative : Returns a buffer in the format of standard julia images (dims permuted and one reversed)
• format = GLNative : Returns a more efficient format buffer for GLMakie which can be directly used in FFMPEG without conversion
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AbstractPlotting.default_plot_signaturesMethod
 default_plot_signatures(funcname, funcname!, PlotType)

Creates all the different overloads for funcname that need to be supported for the plotting frontend! Since we add all these signatures to different functions, we make it reusable with this function. The Core.@__doc__ macro transfers the docstring given to the Recipe into the functions.

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AbstractPlotting.find_font_for_charMethod
find_font_for_char(c::Char, font::NativeFont)

Finds the best font for a character from a list of fallback fonts, that get chosen if font can't represent char c

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AbstractPlotting.frustumMethod
Create view frustum

Parameters
----------
left : float
Left coordinate of the field of view.
right : float
Left coordinate of the field of view.
bottom : float
Bottom coordinate of the field of view.
top : float
Top coordinate of the field of view.
znear : float
Near coordinate of the field of view.
zfar : float
Far coordinate of the field of view.

Returns
-------
M : array
View frustum matrix (4x4).
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AbstractPlotting.get_valueMethod
get_value(attributes::ObservableAttributes, field::Symbol)

Gets the value for field. The values are looked up in the following order: 1) user given at creation time 2) theme given 3) global defaults

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AbstractPlotting.glyph_positionsMethod
glyph_positions(str::AbstractString, font_per_char, fontscale_px, halign, valign, lineheight_factor, justification, rotation)

Calculate the positions for each glyph in a string given a certain font, font size, alignment, etc. This layout in text coordinates, relative to the anchor point [0,0] can then be translated and rotated to wherever it is needed in the plot.

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AbstractPlotting.interpolated_getindexMethod
interpolated_getindex(cmap::AbstractArray, value::AbstractFloat, norm = (0.0, 1.0))

Like getindex, but accepts values between 0..1 and interpolates those to the full range. You can use norm, to change the range of 0..1 to whatever you want.

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AbstractPlotting.interpolated_getindexMethod
interpolated_getindex(cmap::AbstractArray, value::AbstractFloat)

Like getindex, but accepts values between 0..1 for value and interpolates those to the full range of cmap.

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AbstractPlotting.layout_textMethod
layout_text(
string::AbstractString, textsize::Union{AbstractVector, Number},
font, align, rotation, model, justification, lineheight
)

Compute a Glyphlayout for a string given textsize, font, align, rotation, model, justification, and lineheight.

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AbstractPlotting.lookatMethod

view = lookat(eyeposition, lookat, up) creates a view matrix with the eye located at eyeposition and looking at position lookat, with the top of the window corresponding to the direction up. Only the component of up that is perpendicular to the vector pointing from eyeposition to lookat will be used. All inputs must be supplied as 3-vectors.

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AbstractPlotting.perspectiveprojectionMethod

proj = perspectiveprojection([T], fovy, aspect, znear, zfar) defines a projection matrix with a given angular field-of-view fovy along the y-axis (measured in degrees), the specified aspect ratio, and near and far clipping planes znear, zfar. Optionally specify the element type T of the matrix.

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AbstractPlotting.plottypeMethod
plottype(plot_args...)

Any custom argument combination that has a preferred way to be plotted should overload this. e.g.:

    # make plot(rand(5, 5, 5)) plot as a volume
plottype(x::Array{<: AbstractFloat, 3}) = Volume
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AbstractPlotting.plottypeMethod
plottype(P1::Type{<: Combined{T1}}, P2::Type{<: Combined{T2}})

Chooses the more concrete plot type example function convert_arguments(P::PlotFunc, args...) ptype = plottype(P, Lines) ... end

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AbstractPlotting.print_recFunction
print_rec(io::IO, dict, indent::Int = 1[; extended = false])

Traverses a dictionary dict and recursively print out its keys and values in a nicely-indented format.

Use the optional extended = true keyword argument to see more details.

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AbstractPlotting.resampled_colorsMethod
resampled_colors(attributes::Attributes, levels::Integer)

Resample the color attribute from attributes. Resamples :colormap if present, or repeats :color.

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AbstractPlotting.rotatedrectMethod

Calculate an approximation of a tight rectangle around a 2D rectangle rotated by angle radians. This is not perfect but works well enough. Check an A vs X to see the difference.

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AbstractPlotting.sdistancefieldMethod
sdistancefield(img, downsample, pad)

Calculates a distance fields, that is downsampled downsample time, with a padding applied of pad. The padding is in units after downscaling!

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AbstractPlotting.showlibraryMethod
showlibrary(lib::Symbol)::Scene

Shows all colour gradients in the given library. Returns a Scene with these colour gradients arranged as horizontal colourbars.

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AbstractPlotting.streamplot_implMethod

streamplot_impl(CallType, f, limits::Rect{N, T}, resolutionND, stepsize)

Code adapted from an example implementation by Moritz Schauer (@mschauer) from https://github.com/JuliaPlots/Makie.jl/issues/355#issuecomment-504449775

Background: The algorithm puts an arrow somewhere and extends the streamline in both directions from there. Then, it chooses a new position (from the remaining ones), repeating the the exercise until the streamline gets blocked, from which on a new starting point, the process repeats.

So, ideally, the new starting points for streamlines are not too close to current streamlines.

Quasirandom sequences

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AbstractPlotting.ticks!Function
ticks!([scene,]; tickranges=tickranges(scene), ticklabels=ticklabels(scene))

Set the tick labels and ranges along all axes. The respective labels and ranges along each axis must be of the same length.

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AbstractPlotting.to_trianglesMethod
to_triangles(indices)

Convert a representation of triangle point indices indices to its canonical representation as a Vector{AbstractPlotting.GLTriangleFace}. indices can be any of the following:

• An AbstractVector{Int}, containing groups of 3 1-based indices,
• An AbstractVector{UIn32}, containing groups of 3 0-based indices,
• An AbstractVector of TriangleFace objects,
• An AbstractMatrix of Integers, where each row is a triangle.
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AbstractPlotting.to_verticesMethod
to_vertices(v)

Converts a representation of vertices v to its canonical representation as a Vector{Point3f0}. v can be:

• An AbstractVector of 3-element Tuples or StaticVectors,

• An AbstractVector of Tuples or StaticVectors, in which case exta dimensions will be either truncated or padded with zeros as required,

• An AbstractMatrix"

• if v has 2 or 3 rows, it will treat each column as a vertex,
• otherwise if v has 2 or 3 columns, it will treat each row as a vertex.
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AbstractPlotting.used_attributesMethod
used_attributes(args...) = ()

function used to indicate what keyword args one wants to get passed in convert_arguments. Usage:

    struct MyType end
used_attributes(::MyType) = (:attribute,)
function convert_arguments(x::MyType; attribute = 1)
...
end
# attribute will get passed to convert_arguments
# without keyword_verload, this wouldn't happen
plot(MyType, attribute = 2)
#You can also use the convenience macro, to overload convert_arguments in one step:
@keywords convert_arguments(x::MyType; attribute = 1)
...
end
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