Exported

AbstractPlotting.AttributesType

Main structure for holding attributes, for theming plots etc! Will turn all values into nodes, so that they can be updated.

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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

  • keyboardbuttons::Observable{Set{AbstractPlotting.Keyboard.Button}}

    See also ispressed.

  • unicode_input::Observable{Array{Char,1}}

  • dropped_files::Observable{Array{String,1}}

  • 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.StepperType
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.TransformationType

Holds the transformations for Scenes.

Fields

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

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

  • scale::Observable{Vec{3,Float32}}

  • rotation::Observable{Quaternion{Float32}}

  • model::Observable{StaticArrays.SArray{Tuple{4,4},Float32,2,16}}

  • 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{...} are:

  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   0.5
  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
  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{...} are:

  ambient         Float32[0.55, 0.55, 0.55]
  color           :black
  colormap        :viridis
  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{...} are:

  arrowcolor   :black
  arrowhead    AbstractPlotting.Automatic()
  arrowsize    0.3
  arrowtail    "nothing"
  lengthscale  1.0f0
  linecolor    :black
  linestyle    "nothing"
  linewidth    1
  normalize    false
  scale        Float32[1.0, 1.0, 1.0]
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AbstractPlotting.axis2d!Method
axis2d!(args; attributes...)

Plots a 2-dimensional axis.

Attributes

Available attributes and their defaults for Combined{AbstractPlotting.axis2d!,T} where T are:

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AbstractPlotting.axis2dMethod
axis2d(args; attributes...)

Plots a 2-dimensional axis.

Attributes

Axis attributes and their defaults for Axis2D{...} are:

    showgrid: true
    padding: 0.0
    grid: 
        linestyle: (nothing, nothing)
        linewidth: (0.5, 0.5)
        linecolor: ((:black, 0.3), (:black, 0.3))
    showtickmarks: true
    visible: true
    ticks: 
        linecolor: ((:black, 0.4), (:black, 0.4))
        linestyle: (nothing, nothing)
        font: ("Dejavu Sans", "Dejavu Sans")
        formatter: plain
        align: ((:center, :top), (:right, :center))
        textsize: (5, 5)
        rotation: (0.0, 0.0)
        textcolor: (:black, :black)
        gap: 1
        title_gap: 3
        ranges_labels: (AbstractPlotting.Automatic(), AbstractPlotting.Automatic())
        linewidth: (1, 1)
    frame: 
        axis_position: nothing
        linestyle: nothing
        linewidth: 1.0
        arrow_size: 2.5
        axis_arrow: false
        linecolor: black
        frames: ((false, false), (false, false))
    tickmarks: 
        linestyle: (nothing, nothing)
        linewidth: (1, 1)
        length: (1.0, 1.0)
        linecolor: ((:black, 0.4), (:black, 0.2))
    names: 
        axisnames: ("x", "y")
        rotation: (0.0, -4.71238898038469)
        font: ("Dejavu Sans", "Dejavu Sans")
        title: nothing
        textcolor: (:black, :black)
        align: ((:center, :top), (:center, :bottom))
        textsize: (6, 6)
    showticks: true
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AbstractPlotting.axis3d!Method
axis3d!(args; attributes...)

Plots a 3-dimensional Axis.

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 Axis.

Attributes

Axis attributes and their defaults for Axis3D{...} are:

    showaxis: (true, true, true)
    showgrid: (true, true, true)
    padding: 0.1
    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: 1
    frame: 
        axiscolor: (:black, :black, :black)
        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: 1
    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{...} 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
  shading         true
  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{...} are:

  color        :black
  colormap     :viridis
  colorrange   AbstractPlotting.Automatic()
  direction    :y
  fillto       0.0
  marker       GeometryBasics.HyperRectangle
  strokecolor  :white
  strokewidth  0
  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.button!Method
button(text)

Creates a button which can be clicked. On click, the button increments its clicks field by one.

For example:

scene = button("click me please")
lift(scene[end].clicks) do clicks
    # your function here
end

Attributes

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

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AbstractPlotting.buttonMethod
button(text)

Creates a button which can be clicked. On click, the button increments its clicks field by one.

For example:

scene = button("click me please")
lift(scene[end].clicks) do clicks
    # your function here
end

Attributes

Available attributes and their defaults for Button{...} are:

  backgroundcolor  (:white, 0.4)
  camera           AbstractPlotting.campixel!
  clicks           0
  dimensions       (40, 40)
  padvalue         0.15
  position         (10, 10)
  raw              true
  strokecolor      (:black, 0.4)
  strokewidth      1
  textcolor        :black
  textsize         20
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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.colorlegend!Method
colorlegend(colormap, range)
colorlegend(plot::Plot)

Creates a colorbar from the given colormap or range, or from the Attributes of the given Plot.

Attributes

Available attributes and their defaults for ColorLegend{...} are:

align (:left, :hcenter) backgroundcolor :white camera AbstractPlotting.campixel! font "Dejavu Sans" formatter AbstractPlotting.Formatters.plain labels AbstractPlotting.Automatic() outerpadding 10 padding 10 position (1, 1) ranges AbstractPlotting.Automatic() raw true rotation 0.0 strokecolor RGBA{Float64}(0.3,0.3,0.3,0.9) strokewidth 0.3 textcolor :black textgap 15 textsize 16 width (20, <the height of the scene> - 10)

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AbstractPlotting.colorlegendMethod
colorlegend(colormap, range)
colorlegend(plot::Plot)

Creates a colorbar from the given colormap or range, or from the Attributes of the given Plot.

Attributes

Available attributes and their defaults for ColorLegend{...} are:

align (:left, :hcenter) backgroundcolor :white camera AbstractPlotting.campixel! font "Dejavu Sans" formatter AbstractPlotting.Formatters.plain labels AbstractPlotting.Automatic() outerpadding 10 padding 10 position (1, 1) ranges AbstractPlotting.Automatic() raw true rotation 0.0 strokecolor RGBA{Float64}(0.3,0.3,0.3,0.9) strokewidth 0.3 textcolor :black textgap 15 textsize 16 width (20, <the height of the scene> - 10)

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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{...} 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{...} 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.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, 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::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, 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, vertices, indices)::GLNormalMesh

Takes vertices and indices, and creates a triangle mesh out of those. See to_vertices and to_triangles for more information about accepted types.

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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, x, y, z)::GLNormalMesh

Takes real vectors x, y, z and constructs a mesh out of those, under the assumption that every 3 points form a triangle.

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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, 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_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_attributeFunction

A Symbol/String naming the gradient. For more on what names are available please see: available_gradients(). For now, we support gradients from PlotUtils natively.

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AbstractPlotting.convert_attributeMethod
`AbstractVector{<:AbstractFloat}` for denoting sequences of fill/nofill. e.g.

[0.5, 0.8, 1.2] will result in 0.5 filled, 0.3 unfilled, 0.4 filled. 1.0 unit is one linewidth!

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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.errorbars!Method
errorbars(xs, ys, low, high; kwargs...)
errorbars(points, low, high; kwargs...)
errorbars(points, lowhigh; kwargs...)

Plots errorbars at the given points, extending down (left) by low and up (right) by high.

Attributes

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

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AbstractPlotting.errorbarsMethod
errorbars(xs, ys, low, high; kwargs...)
errorbars(points, low, high; kwargs...)
errorbars(points, lowhigh; kwargs...)

Plots errorbars at the given points, extending down (left) by low and up (right) by high.

Attributes

Available attributes and their defaults for Errorbars{...} are:

  color         :black
  direction     :y
  linewidth     1
  visible       true
  whiskerwidth  10
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AbstractPlotting.fill_between!Method
fill_between!(x, y1, y2; where = nothing, scene = current_scene(), kw_args...)

fill the section between 2 lines with the condition where

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AbstractPlotting.hboxMethod
hbox(scenes...; parent = Scene(clear = false), kwargs...)

Attach the given Scenes together on the horizontal axis. For example, two Scenes hboxed will be placed one on top of the other.

--------------------
--                --
--    Scene 1     --
--                --
--------------------
--------------------
--                --
--    Scene 2     --
--                --
--------------------
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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{...} are:

  ambient         Float32[0.55, 0.55, 0.55]
  color           :black
  colormap        :viridis
  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.hovered_sceneMethod
hovered_scene()

Return the scene that the mouse is currently hovering over.

Properly identifies the scene for a plot with multiple sub-plots.

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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{...} are:

  ambient         Float32[0.55, 0.55, 0.55]
  color           :black
  colormap        Symbol[:black, :white]
  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

returns true if button is pressed in scene[:mousebuttons or :keyboardbuttons] You can use nothing, to indicate it should always return true

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AbstractPlotting.legend!Method
`legend(plots, labels; kwargs...)`

Plots a legend for the given plots with the given labels. plots may be a single Plot or a list of Plots.

Attributes

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

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AbstractPlotting.legendMethod
`legend(plots, labels; kwargs...)`

Plots a legend for the given plots with the given labels. plots may be a single Plot or a list of Plots.

Attributes

Available attributes and their defaults for Legend{...} are:

  align            (:left, :center)
  backgroundcolor  :white
  camera           AbstractPlotting.campixel!
  font             "Dejavu Sans"
  gap              20
  labelwidth       20
  linepattern      Point{2,Float32}[[0.0, 0.0], [1.0, 0.0]]
  markersize       5
  outer_area       GeometryBasics.HyperRectangle{2,Int64}([0, 0], [1, 1])
  outerpadding     10
  padding          10
  position         (1, 1)
  raw              true
  rotation         1.0 + 0.0im + 0.0jm + 0.0km
  scatterpattern   Point{2,Float32}[[0.5, 0.0]]
  strokecolor      RGBA{Float64}(0.3,0.3,0.3,0.9)
  strokewidth      1
  textcolor        :black
  textgap          15
  textsize         16
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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{...} are:

  ambient         Float32[0.55, 0.55, 0.55]
  color           :black
  colormap        :viridis
  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{...} are:

  ambient         Float32[0.55, 0.55, 0.55]
  color           :black
  colormap        :viridis
  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{...} are:

  ambient         Float32[0.55, 0.55, 0.55]
  color           :black
  colormap        :viridis
  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
  shading         true
  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{...} 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          GeometryBasics.HyperSphere{3,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
  shading         true
  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{...} are:

  color           :gray
  inner_radius    0
  normalize       true
  offset          0
  radius          1
  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{...} are:

  color         :black
  colormap      :viridis
  colorrange    AbstractPlotting.Automatic()
  linestyle     "nothing"
  overdraw      false
  shading       false
  strokecolor   RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
  strokewidth   1.0
  transparency  false
  visible       true
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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!Method
rotate!(Accum, scene::Transformable, axis_rot...)

Apply a relative rotation to the Scene, by multiplying by the current rotation.

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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.

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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{...} are:

  ambient           Float32[0.55, 0.55, 0.55]
  color             :gray65
  colormap          :viridis
  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            GeometryBasics.HyperSphere{2,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 lines between sets of x and y coordinates provided, as well as plotting those points using scatter.

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 lines between sets of x and y coordinates provided, as well as plotting those points using scatter.

Attributes

Available attributes and their defaults for ScatterLines{...} are:

  ambient           Float32[0.55, 0.55, 0.55]
  color             :gray65
  colormap          :viridis
  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
  linestyle         "nothing"
  linewidth         1
  marker            GeometryBasics.HyperSphere{2,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.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 - ?

TODO add function signatures TODO add description

Attributes

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

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AbstractPlotting.seriesMethod
Series - ?

TODO add function signatures TODO add description

Attributes

Available attributes and their defaults for Series{...} are:

  seriescolors  :Set1
  seriestype    :lines
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AbstractPlotting.showgradientsMethod
showgradients(
    cgrads::AbstractVector{Symbol};
    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.slider!Method
slider(range; kwargs...)

Creates a slider which slides through the selected range; sliders are discrete. The Slider's value can be accessed through its value field. For example:

scene = slider(1:10)
lift(scene[end].value) do val
    # your function here
end

Attributes

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

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AbstractPlotting.sliderMethod
slider(range; kwargs...)

Creates a slider which slides through the selected range; sliders are discrete. The Slider's value can be accessed through its value field. For example:

scene = slider(1:10)
lift(scene[end].value) do val
    # your function here
end

Attributes

Available attributes and their defaults for Slider{...} are:

  backgroundcolor    (:gray, 0.01)
  buttoncolor        :white
  buttonsize         15
  buttonstroke       1.5
  buttonstrokecolor  :black
  camera             AbstractPlotting.campixel!
  position           (0, 0)
  raw                true
  slidercolor        (:gray, 0.6)
  sliderheight       50
  sliderlength       200
  start              AbstractPlotting.Automatic()
  strokecolor        (:black, 0.4)
  strokewidth        1
  textcolor          :black
  textsize           15
  textspace          50
  value              0
  valueprinter       AbstractPlotting.default_printer
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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{...} are:

  colormap    :viridis
  colorrange  AbstractPlotting.Automatic()
  framecolor  :black
  framesize   1
  marker      AbstractPlotting.Automatic()
  markersize  AbstractPlotting.Automatic()
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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.streamlines!Method
StreamLines

TODO add function signatures TODO add descripton

Attributes

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

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AbstractPlotting.streamlinesMethod
StreamLines

TODO add function signatures TODO add descripton

Attributes

Available attributes and their defaults for StreamLines{...} are:

  color      :black
  h          0.01f0
  linewidth  1
  n          5
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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 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{...} are:

  ambient         Float32[0.55, 0.55, 0.55]
  arrow_size      0.03
  color           :black
  colormap        :viridis
  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 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{...} are:

  ambient         Float32[0.55, 0.55, 0.55]
  color           "nothing"
  colormap        :viridis
  diffuse         Float32[0.4, 0.4, 0.4]
  highclip        "nothing"
  lightposition   :eyeposition
  linewidth       1
  lowclip         "nothing"
  nan_color       RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.0f0)
  overdraw        false
  shading         true
  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 Text{...} are:

  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   0.5
  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
  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!Function
update_cam!(scene::Scene, eyeposition, lookat, up = Vec3f0(0, 0, 1))

Updates the camera's controls to point to the specified location.

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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.vboxMethod
vbox(scenes...; parent = Scene(clear = false), kwargs...)

Box the scenes together on the vertical axis. For example, two Scenes vboxed will be placed side-by-side.

--------------------  --------------------
--                --  --                --
--    Scene 1     --  --    Scene 2     --
--                --  --                --
--------------------  --------------------
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AbstractPlotting.volume!Method
volume(volume_data)

Plots a volume. Available algorithms are:

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

Attributes

Available attributes and their defaults for Volume{...} 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.volumeslices!Method
VolumeSlices

TODO add function signatures TODO add descripton

Attributes

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

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AbstractPlotting.volumeslicesMethod
VolumeSlices

TODO add function signatures TODO add descripton

Attributes

Available attributes and their defaults for VolumeSlices{...} 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{...} are:

  ambient         Float32[0.55, 0.55, 0.55]
  color           :black
  colormap        :viridis
  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.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,]; xtickranges=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,]; ytickranges=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.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.@extractvalueMacro

usage @extractvalue scene (a, b, c, d) will become:

begin
    a = to_value(scene[:a])
    b = to_value(scene[:b])
    c = to_value(scene[:c])
    (a, b, c)
end
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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.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.RelativeType

Unit is relative to bounding frame. E.g. if the area is IRect(0, 0, 100, 100) Point(0.5rel, 0.5rel) == Point(50, 50)

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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.colorbufferMethod
colorbuffer(scene)
colorbuffer(screen)

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.

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AbstractPlotting.colorswatchFunction
colorswatch(scene = Scene(camera = campixel!))

TODO add function signatures TODO add description

Attributes

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

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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.default_printerMethod
default_printer(v)

Prints v rounded to three digits. Here, v can be of any type accepted by round, which includes Real, Complex and many others. To use your own custom datatype it is sufficient to define Base.round(x::NewType, r::RoundingMode).

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AbstractPlotting.dont_touchMethod
dont_touch(
    parent::GeometryPrimitive{N}, child::GeometryPrimitive{N},
    pad::Vec{N}
) where N

Moves child so that it doesn't touch parent. Leaves a gap to parent defined by pad.

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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.fit_factor_stretchMethod
fit_factor_stretch(rect, lims::NTuple{N}) where N

Calculates the stretch factor to fill rect in all dimension. Returns a stretch N dimensional fit factor.

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AbstractPlotting.from_dictMethod
from_dict(::Type{T}, dict)

Creates the type T from the fields in dict. Automatically converts to the correct node types.

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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.getscreenMethod
getscreen(scene::Scene)

Gets the current screen a scene is associated with. Returns nothing if not yet displayed on a screen.

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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.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.move_from_touchMethod
move_from_touch(
    parent::GeometryPrimitive{N, T}, child::GeometryPrimitive{N},
    pad::Vec{N}
) where {N, T}

calculates how much child rectangle needs to move to not touch the parent

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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.sig_printerMethod
sig_printer(v::Real)

Prints the first three significant digits of v in scientific notation.

julia> -5:5 .|> exp .|> sig_printer
11-element Array{String,1}:
 "6.74e-03"
 "1.83e-02"
 "4.98e-02"
 "1.35e-01"
 "3.68e-01"
 "1.00e+00"
 "2.72e+00"
 "7.39e+00"
 "2.01e+01"
 "5.46e+01"
 "1.48e+02"
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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.

Links:

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_spritemarkerMethod

Vector of anything that is accepted as a single marker will give each point it's own marker. Note that it needs to be a uniform vector with the same element type!

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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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