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using Plots


A simple line plot of the columns.

plot(Plots.fakedata(50, 5), w=3)

Parametric plots

Plot function pair (x(u), y(u)).

plot(sin, (x->begin
        end), 0, 2π, line=4, leg=false, fill=(0, :orange))


Access predefined palettes (or build your own with the colorscheme method). Line/marker colors are auto-generated from the plot's palette, unless overridden. Set the z argument to turn on series gradients.

y = rand(100)
plot(0:10:100, rand(11, 4), lab="lines", w=3, palette=:grays, fill=0, α=0.6)
scatter!(y, zcolor=abs.(y .- 0.5), m=(:heat, 0.8, Plots.stroke(1, :green)), ms=10 * abs.(y .- 0.5) .+ 4, lab="grad")


Plot multiple series with different numbers of points. Mix arguments that apply to all series (marker/markersize) with arguments unique to each series (colors). Special arguments line, marker, and fill will automatically figure out what arguments to set (for example, we are setting the linestyle, linewidth, and color arguments with line.) Note that we pass a matrix of colors, and this applies the colors to each series.

ys = Vector[rand(10), rand(20)]
plot(ys, color=[:black :orange], line=(:dot, 4), marker=([:hex :d], 12, 0.8, Plots.stroke(3, :gray)))

Build plot in pieces

Start with a base plot...

plot(rand(100) / 3, reg=true, fill=(0, :green))

and add to it later.

scatter!(rand(100), markersize=6, c=:orange)

Line types

linetypes = [:path :steppre :steppost :sticks :scatter]
n = length(linetypes)
x = Vector[sort(rand(20)) for i = 1:n]
y = rand(20, n)
plot(x, y, line=(linetypes, 3), lab=map(string, linetypes), ms=15)

Line styles

styles = filter((s->begin
                s in Plots.supported_styles()
            end), [:solid, :dash, :dot, :dashdot, :dashdotdot])
styles = reshape(styles, 1, length(styles))
n = length(styles)
y = cumsum(randn(20, n), dims=1)
plot(y, line=(5, styles), label=map(string, styles), legendtitle="linestyle")

Marker types

markers = filter((m->begin
                m in Plots.supported_markers()
            end), Plots._shape_keys)
markers = reshape(markers, 1, length(markers))
n = length(markers)
x = (range(0, stop=10, length=n + 2))[2:end - 1]
y = repeat(reshape(reverse(x), 1, :), n, 1)
scatter(x, y, m=(8, :auto), lab=map(string, markers), bg=:linen, xlim=(0, 10), ylim=(0, 10))


x is the midpoint of the bar. (todo: allow passing of edges instead of midpoints)



histogram(randn(1000), bins=:scott, weights=repeat(1:5, outer=200))

Adding to subplots

Note here the automatic grid layout, as well as the order in which new series are added to the plots.

plot(Plots.fakedata(100, 10), layout=4, palette=[:grays :blues :heat :lightrainbow], bg_inside=[:orange :pink :darkblue :black])

using Random
plot!(Plots.fakedata(100, 10))


Create an OHLC chart. Pass in a list of (open,high,low,close) tuples as your y argument. This uses recipes to first convert the tuples to OHLC objects, and subsequently create a :path series with the appropriate line segments.

n = 20
hgt = rand(n) .+ 1
bot = randn(n)
openpct = rand(n)
closepct = rand(n)
y = OHLC[(openpct[i] * hgt[i] + bot[i], bot[i] + hgt[i], bot[i], closepct[i] * hgt[i] + bot[i]) for i = 1:n]

Custom Markers

A Plots.Shape is a light wrapper around vertices of a polygon. For supported backends, pass arbitrary polygons as the marker shapes. Note: The center is (0,0) and the size is expected to be rougly the area of the unit circle.

verts = [(-1.0, 1.0), (-1.28, 0.6), (-0.2, -1.4), (0.2, -1.4), (1.28, 0.6), (1.0, 1.0), (-1.0, 1.0), (-0.2, -0.6), (0.0, -0.2), (-0.4, 0.6), (1.28, 0.6), (0.2, -1.4), (-0.2, -1.4), (0.6, 0.2), (-0.2, 0.2), (0.0, -0.2), (0.2, 0.2), (-0.2, -0.6)]
x = 0.1:0.2:0.9
y = 0.7 * rand(5) .+ 0.15
plot(x, y, line=(3, :dash, :lightblue), marker=(Shape(verts), 30, RGBA(0, 0, 0, 0.2)), bg=:pink, fg=:darkblue, xlim=(0, 1), ylim=(0, 1), leg=false)


n = 100
ts = range(0, stop=8π, length=n)
x = ts .* map(cos, ts)
y = (0.1ts) .* map(sin, ts)
z = 1:n
plot(x, y, z, zcolor=reverse(z), m=(10, 0.8, :blues, Plots.stroke(0)), leg=false, cbar=true, w=5)
plot!(zeros(n), zeros(n), 1:n, w=10)

Groups and Subplots

group = rand(map((i->begin
                    "group $(i)"
                end), 1:4), 100)
plot(rand(100), layout=@layout(), group=group, linetype=[:bar :scatter :steppre], linecolor=:match)

Polar Plots

Θ = range(0, stop=1.5π, length=100)
r = abs.(0.1 * randn(100) + sin.(3Θ))
plot(Θ, r, proj=:polar, m=2)

Layouts, margins, label rotation, title location

using Plots.PlotMeasures
plot(rand(100, 6), layout=@layout(), title=["A" "B" "C"], title_location=:left, left_margin=[20mm 0mm], bottom_margin=10px, xrotation=60)

Animation with subplots

The layout macro can be used to create an animation with subplots.

l = @layout()
p = plot(plot([sin, cos], 1, leg=false), scatter([atan, cos], 1, leg=false), plot(log, 1, xlims=(1, 10π), ylims=(0, 5), leg=false), layout=l)
anim = Animation()
for x = range(1, stop=10π, length=100)
    plot(push!(p, x, Float64[sin(x), cos(x), atan(x), cos(x), log(x)]))


For a matrix mat with unique nonzeros spy(mat) returns a colorless plot. If mat has various different nonzero values, a colorbar is added. The colorbar can be disabled with legend = nothing.

using SparseArrays
a = spdiagm(0 => ones(50), 1 => ones(49), -1 => ones(49), 10 => ones(40), -10 => ones(40))
b = spdiagm(0 => 1:50, 1 => 1:49, -1 => 1:49, 10 => 1:40, -10 => 1:40)
plot(spy(a), spy(b), title=["Unique nonzeros" "Different nonzeros"])

Magic grid argument

The grid lines can be modified individually for each axis with the magic grid argument.

x = rand(10)
p1 = plot(x, title="Default looks")
p2 = plot(x, grid=(:y, :olivedrab, :dot, 1, 0.9), title="Modified y grid")
p3 = plot(deepcopy(p2), title="Add x grid")
xgrid!(p3, :on, :cadetblue, 2, :dashdot, 0.4)
plot(p1, p2, p3, layout=(1, 3), label="", fillrange=0, fillalpha=0.3)


The style of the frame/axes of a (sub)plot can be changed with the framestyle attribute. The default framestyle is :axes.

scatter(fill(randn(10), 6), fill(randn(10), 6), framestyle=[:box :semi :origin :zerolines :grid :none], title=[":box" ":semi" ":origin" ":zerolines" ":grid" ":none"], color=permutedims(1:6), layout=6, label="", markerstrokewidth=0, ticks=-2:2)

Lines and markers with varying colors

You can use the line_z and marker_z properties to associate a color with each line segment or marker in the plot.

t = range(0, stop=1, length=100)
θ = (6π) .* t
x = t .* cos.(θ)
y = t .* sin.(θ)
p1 = plot(x, y, line_z=t, linewidth=3, legend=false)
p2 = scatter(x, y, marker_z=((x, y)->begin
                    x + y
                end), color=:bluesreds, legend=false)
plot(p1, p2)

Portfolio Composition maps


using Random
tickers = ["IBM", "Google", "Apple", "Intel"]
N = 10
D = length(tickers)
weights = rand(N, D)
weights ./= sum(weights, dims=2)
returns = sort!((1:N) + D * randn(N))
portfoliocomposition(weights, returns, labels=permutedims(tickers))

  • Supported arguments: annotations, aspect_ratio, background_color, background_color_inside, background_color_legend, background_color_subplot, bins, bottom_margin, camera, color_palette, colorbar, colorbar_title, contour_labels, discrete_values, fill_z, fillalpha, fillcolor, fillrange, flip, foreground_color, foreground_color_axis, foreground_color_border, foreground_color_grid, foreground_color_subplot, foreground_color_text, framestyle, grid, group, guide, guide_position, guidefont, html_output_format, label, layout, left_margin, legend, legendfont, levels, lims, line_z, linealpha, linecolor, linestyle, linewidth, link, margin, marker_z, markeralpha, markercolor, markershape, markersize, markerstrokealpha, markerstrokecolor, markerstrokestyle, markerstrokewidth, polar, primary, projection, right_margin, rotation, scale, series_annotations, seriesalpha, seriescolor, seriestype, show, size, smooth, subplot, subplot_index, tick_direction, tickfont, ticks, title, top_margin, x, xdiscrete_values, xerror, xflip, xforeground_color_axis, xforeground_color_border, xforeground_color_grid, xforeground_color_text, xgrid, xguide, xguide_position, xlims, xlink, xrotation, xscale, xtick_direction, xticks, y, ydiscrete_values, yerror, yflip, yforeground_color_axis, yforeground_color_border, yforeground_color_grid, yforeground_color_text, ygrid, yguide, yguide_position, ylims, ylink, yrotation, yscale, ytick_direction, yticks, z, zdiscrete_values, zflip, zforeground_color_axis, zforeground_color_border, zforeground_color_grid, zforeground_color_text, zgrid, zguide, zguide_position, zlims, zlink, zrotation, zscale, ztick_direction, zticks
  • Supported values for linetype: :contour, :histogram2d, :path, :path3d, :scatter, :shape, :stepmid, :steppost, :steppre, :straightline, :xsticks, :ysticks
  • Supported values for linestyle: :auto, :dash, :dashdot, :dashdotdot, :dot, :solid
  • Supported values for marker: :auto, :circle, :cross, :diamond, :dtriangle, :hline, :none, :pentagon, :rect, :star5, :utriangle, :vline, :xcross

(Automatically generated: 2019-09-08T09:33:28.361)