### Initialize

using Plots
pgfplots()
Plots.PGFPlotsBackend()

### Lines

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

### Colors

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")

### Arguments

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

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

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))

### Bar

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

bar(randn(99))

### Histogram

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

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
Random.seed!(111)
plot!(Plots.fakedata(100, 10))

### Open/High/Low/Close

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]
ohlc(y)

### 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)

### 3D

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([a b; c]), group=group, linetype=[:bar :scatter :steppre], linecolor=:match)