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")


Change the guides/background/limits/ticks. Convenience args xaxis and yaxis allow you to pass a tuple or value which will be mapped to the relevant args automatically. The xaxis below will be replaced with xlabel and xlims args automatically during the preprocessing step. You can also use shorthand functions: title!, xaxis!, yaxis!, xlabel!, ylabel!, xlims!, ylims!, xticks!, yticks!

using Statistics
y = rand(20, 3)
plot(y, xaxis=("XLABEL", (-5, 30), 0:2:20, :flip), background_color=RGB(0.2, 0.2, 0.2), leg=false)
hline!(mean(y, dims=1) + rand(1, 3), line=(4, :dash, 0.6, [:lightgreen :green :darkgreen]))
vline!([5, 10])
yaxis!("YLABEL", :log10)


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))


Use the layout keyword, and optionally the convenient @layout macro to generate arbitrarily complex subplot layouts.

l = @layout([a{0.1h}; b [c; d e]])
plot(randn(100, 5), layout=l, t=[:line :histogram :scatter :steppre :bar], leg=false, ticks=nothing, border=:none)

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]


The annotations keyword is used for text annotations in data-coordinates. Pass in a tuple (x,y,text) or a vector of annotations. annotate!(ann) is shorthand for plot!(; annotation=ann). Series annotations are used for annotating individual data points. They require only the annotation... x/y values are computed. A PlotText object can be build with the method text(string, attr...), which wraps font and color attributes.

y = rand(10)
plot(y, annotations=(3, y[3], Plots.text("this is #3", :left)), leg=false)
annotate!([(5, y[5], Plots.text("this is #5", 16, :red, :center)), (10, y[10], Plots.text("this is #10", :right, 20, "courier"))])
scatter!(range(2, stop=8, length=6), rand(6), marker=(50, 0.2, :orange), series_annotations=["series", "annotations", "map", "to", "series", Plots.text("data", :green)])

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)