ecdfplot

ecdfplot(values; npoints=10_000[, weights])

Plot the empirical cumulative distribution function (ECDF) of values.

npoints controls the resolution of the plot. If weights for the values are provided, a weighted ECDF is plotted.

Plot type

The plot type alias for the ecdfplot function is ECDFPlot.

Attributes

alpha = 1.0 — The alpha value of the colormap or color attribute. Multiple alphas like in plot(alpha=0.2, color=(:red, 0.5), will get multiplied.

color = @inherit linecolor — The color of the line.

colormap = @inherit colormap :viridis — Sets the colormap that is sampled for numeric colors. PlotUtils.cgrad(...), Makie.Reverse(any_colormap) can be used as well, or any symbol from ColorBrewer or PlotUtils. To see all available color gradients, you can call Makie.available_gradients().

colorrange = automatic — The values representing the start and end points of colormap.

colorscale = identity — The color transform function. Can be any function, but only works well together with Colorbar for identity, log, log2, log10, sqrt, logit, Makie.pseudolog10 and Makie.Symlog10.

cycle = [:color] — Sets which attributes to cycle when creating multiple plots.

depth_shift = 0.0 — adjusts the depth value of a plot after all other transformations, i.e. in clip space, where 0 <= depth <= 1. This only applies to GLMakie and WGLMakie and can be used to adjust render order (like a tunable overdraw).

fxaa = false — adjusts whether the plot is rendered with fxaa (anti-aliasing, GLMakie only).

highclip = automatic — The color for any value above the colorrange.

inspectable = true — sets whether this plot should be seen by DataInspector.

inspector_clear = automatic — Sets a callback function (inspector, plot) -> ... for cleaning up custom indicators in DataInspector.

inspector_hover = automatic — Sets a callback function (inspector, plot, index) -> ... which replaces the default show_data methods.

inspector_label = automatic — Sets a callback function (plot, index, position) -> string which replaces the default label generated by DataInspector.

joinstyle = @inherit joinstyle — Controls whether line joints are rounded (:round) or not (:miter).

linecap = @inherit linecap — Sets the type of linecap used, i.e. :butt (flat with no extrusion), :square (flat with 0.5 linewidth extrusion) or :round.

linestyle = nothing — Sets the pattern of the line e.g. :solid, :dot, :dashdot. For custom patterns look at Linestyle(Number[...])

linewidth = @inherit linewidth — Sets the width of the line in screen units

lowclip = automatic — The color for any value below the colorrange.

miter_limit = @inherit miter_limit — Sets the minimum inner joint angle below which miter joints truncate. See also Makie.miter_distance_to_angle()

model = automatic — Sets a model matrix for the plot. This overrides adjustments made with translate!, rotate! and scale!.

nan_color = :transparent — The color for NaN values.

overdraw = false — Controls if the plot will draw over other plots. This specifically means ignoring depth checks in GL backends

space = :data — sets the transformation space for box encompassing the plot. See Makie.spaces() for possible inputs.

ssao = false — Adjusts whether the plot is rendered with ssao (screen space ambient occlusion). Note that this only makes sense in 3D plots and is only applicable with fxaa = true.

step = :pre — The step parameter can take the following values:

  • :pre: horizontal part of step extends to the left of each value in xs.

  • :post: horizontal part of step extends to the right of each value in xs.

  • :center: horizontal part of step extends halfway between the two adjacent values of xs.

transformation = automaticNo docs available.

transparency = false — Adjusts how the plot deals with transparency. In GLMakie transparency = true results in using Order Independent Transparency.

visible = true — Controls whether the plot will be rendered or not.

Examples

using CairoMakie


f = Figure()
Axis(f[1, 1])

ecdfplot!(randn(200))

f

using CairoMakie


f = Figure()
Axis(f[1, 1])

x = randn(200)
ecdfplot!(x, color = (:blue, 0.3))
ecdfplot!(x, color = :red, npoints=10)

f

using CairoMakie


f = Figure()
Axis(f[1, 1])

x = rand(200)
w = @. x^2 * (1 - x)^2
ecdfplot!(x)
ecdfplot!(x; weights = w, color=:orange)

f