Interface
Line plots: lineplot
lineplot([1, 2, 7], [9, -6, 8], title="My Lineplot") ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀My Lineplot⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
┌────────────────────────────────────────┐
10 │⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠│
│⠘⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠤⠊⠁⠀│
│⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⠔⠊⠁⠀⠀⠀⠀│
│⠀⠈⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⠔⠊⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡠⠔⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠒⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠤⠤⠤⠼⡤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⢤⠤⠶⠥⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤│
│⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠤⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⠀⠀⣀⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⢱⠀⠀⠀⠀⡠⠔⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⢇⡠⠔⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
-10 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
└────────────────────────────────────────┘
⠀1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀7⠀ It's also possible to specify a function and a range:
plt = lineplot(-π/2, 2π, [cos, sin]) ┌────────────────────────────────────────┐
1 │⠀⠀⠀⠀⠀⠀⢀⠖⢹⠉⢢⠀⠀⢀⠞⠉⠉⢢⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠞⠉⠀⠀⠀│ cos(x)
│⠀⠀⠀⠀⠀⢠⠊⠀⢸⠀⠀⠳⣠⠊⠀⠀⠀⠀⠣⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⠃⠀⠀⠀⠀⠀│ sin(x)
│⠀⠀⠀⠀⢀⠇⠀⠀⢸⠀⠀⢠⢷⠀⠀⠀⠀⠀⠀⢱⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⠇⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⡜⠀⠀⠀⢸⠀⠀⡜⠀⢧⠀⠀⠀⠀⠀⠀⢧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡎⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⢸⠀⠀⠀⠀⢸⠀⢸⠀⠀⠘⡄⠀⠀⠀⠀⠀⠘⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⡸⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⢀⠇⠀⠀⠀⠀⢸⢀⠇⠀⠀⠀⢱⠀⠀⠀⠀⠀⠀⢱⠀⠀⠀⠀⠀⠀⠀⠀⢠⠃⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⡜⠀⠀⠀⠀⠀⢸⡜⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⠀⠀⡜⠀⠀⠀⠀⠀⠀⠀⠀⠀│
f(x) │⠤⠤⠧⠤⠤⠤⠤⠤⢼⠧⠤⠤⠤⠤⠤⠼⡤⠤⠤⠤⠤⠤⠼⡤⠤⠤⠤⠤⠤⢴⠥⠤⠤⠤⠤⠤⢤⠤⠤⠤│
│⠀⠀⠀⠀⠀⠀⠀⠀⣿⠀⠀⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⢀⠇⠀⠀⠀⠀⠀⢀⠇⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⡸⢸⠀⠀⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⡸⠀⠀⠀⠀⠀⠀⡸⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⢀⠇⢸⠀⠀⠀⠀⠀⠀⠀⠀⢱⠀⠀⠀⠀⠀⠀⢱⠀⠀⢠⠃⠀⠀⠀⠀⠀⢠⠃⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⡞⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⢇⠀⠀⠀⠀⠀⠀⢇⠀⡞⠀⠀⠀⠀⠀⠀⡎⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⡸⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⡆⠀⠀⠀⠀⠀⠘⡾⠀⠀⠀⠀⠀⠀⡸⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⡰⠁⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⢄⠀⠀⠀⠀⡜⠙⣄⠀⠀⠀⠀⡜⠁⠀⠀⠀⠀⠀⠀│
-1 │⠀⢀⣀⠜⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢦⣀⣀⠜⠀⠀⠈⢦⣀⣠⠜⠀⠀⠀⠀⠀⠀⠀⠀│
└────────────────────────────────────────┘
⠀-2⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀7⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀x⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ You can also plot lines by specifying an intercept and slope:
lineplot!(plt, -.5, .2, name="line") ┌────────────────────────────────────────┐
1 │⠀⠀⠀⠀⠀⠀⢀⠖⢹⠉⢢⠀⠀⢀⠞⠉⠉⢢⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠞⠉⠀⠀⢀│ cos(x)
│⠀⠀⠀⠀⠀⢠⠊⠀⢸⠀⠀⠳⣠⠊⠀⠀⠀⠀⠣⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⠃⠀⢀⡠⠒⠁│ sin(x)
│⠀⠀⠀⠀⢀⠇⠀⠀⢸⠀⠀⢠⢷⠀⠀⠀⠀⠀⠀⢱⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⢇⡠⠒⠁⠀⠀⠀│ line
│⠀⠀⠀⠀⡜⠀⠀⠀⢸⠀⠀⡜⠀⢧⠀⠀⠀⠀⠀⠀⢧⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⡞⠁⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⢸⠀⠀⠀⠀⢸⠀⢸⠀⠀⠘⡄⠀⠀⠀⠀⠀⠘⡄⠀⠀⠀⠀⠀⢀⡠⠒⠁⡸⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⢀⠇⠀⠀⠀⠀⢸⢀⠇⠀⠀⠀⢱⠀⠀⠀⠀⠀⠀⢱⠀⠀⢀⡠⠒⠁⠀⠀⢠⠃⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⡜⠀⠀⠀⠀⠀⢸⡜⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⢈⡦⠒⠁⠀⠀⠀⠀⠀⡜⠀⠀⠀⠀⠀⠀⠀⠀⠀│
f(x) │⠤⠤⠧⠤⠤⠤⠤⠤⢼⠧⠤⠤⠤⠤⠤⠼⡤⠤⠤⡤⠴⠥⠼⡤⠤⠤⠤⠤⠤⢴⠥⠤⠤⠤⠤⠤⢤⠤⠤⠤│
│⠀⠀⠀⠀⠀⠀⠀⠀⣿⠀⠀⠀⠀⠀⠀⠀⣣⠔⠉⠀⠀⠀⠀⢣⠀⠀⠀⠀⢀⠇⠀⠀⠀⠀⠀⢀⠇⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⡸⢸⠀⠀⠀⠀⡠⠔⠉⠈⡆⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⡸⠀⠀⠀⠀⠀⠀⡸⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⢀⠇⢸⠀⡠⠔⠉⠀⠀⠀⠀⢱⠀⠀⠀⠀⠀⠀⢱⠀⠀⢠⠃⠀⠀⠀⠀⠀⢠⠃⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⡞⡠⢼⠉⠀⠀⠀⠀⠀⠀⠀⠀⢇⠀⠀⠀⠀⠀⠀⢇⠀⡞⠀⠀⠀⠀⠀⠀⡎⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⡠⡼⠉⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⡆⠀⠀⠀⠀⠀⠘⡾⠀⠀⠀⠀⠀⠀⡸⠀⠀⠀⠀⠀⠀│
│⠀⡠⠔⠉⡰⠁⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⢄⠀⠀⠀⠀⡜⠙⣄⠀⠀⠀⠀⡜⠁⠀⠀⠀⠀⠀⠀│
-1 │⠊⢀⣀⠜⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢦⣀⣀⠜⠀⠀⠈⢦⣀⣠⠜⠀⠀⠀⠀⠀⠀⠀⠀│
└────────────────────────────────────────┘
⠀-2⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀7⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀x⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Plotting multiple series is supported by providing a Matrix (<: AbstractMatrix) for the y argument, with the individual series corresponding to its columns. Auto-labeling is by default, but you can also label each series by providing a Vector or a 1xn Matrix such as ["series 1" "series2" ...]:
lineplot(1:10, [0:9 3:12 reverse(5:14) fill(4, 10)], color=[:green :red :yellow :cyan]) ┌────────────────────────────────────────┐
14 │⠉⠑⠢⢄⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ y1
│⠀⠀⠀⠀⠉⠒⠤⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ y2
│⠀⠀⠀⠀⠀⠀⠀⠀⠉⠒⠤⢄⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔⠊│ y3
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠑⠢⢄⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔⠊⠁⠀⠀⠀│ y4
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠑⠢⢄⡀⠀⠀⠀⠀⠀⠀⠀⣀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠑⠒⠤⣀⠤⠒⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⠤⠒⠉⠀⠉⠒⠤⣀⠀⠀⠀⠀⢀⡠⠔⠊⠁⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠤⠒⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⣉⠶⠴⢎⡁⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⠤⠒⠉⠀⠀⠀⠀⠈⠑⠢⢄⡀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⣀⠤⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠤⠒⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠑⠢│
│⠤⠤⠤⢤⡤⠶⠭⠤⠤⠤⠤⠤⠤⠤⠤⠤⢤⡤⠴⠮⠥⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤│
│⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⣀⠤⠒⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⣀⠤⠒⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
0 │⣀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
└────────────────────────────────────────┘
⠀1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀10⠀ Physical quantities of Unitful.jl are supported through package extensions - weak dependencies:
using Unitful
a, t = 1u"m/s^2", (0:100) * u"s"
lineplot(a / 2 * t .^ 2, a * t, xlabel="position", ylabel="speed", height=10) ┌────────────────────────────────────────┐
100 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⣀⠤⠤⠔⠒⠉⠉│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣀⠤⠤⠒⠊⠉⠁⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⠤⠤⠒⠉⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠤⠒⠉⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
speed (m s⁻¹) │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⠤⠔⠉⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⢀⡤⠖⠉⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⢀⡤⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⢀⠴⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⣠⠋⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
0 │⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
└────────────────────────────────────────┘
⠀0⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀5 000⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀position (m)⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Intervals from IntervalSets.jl are supported:
using IntervalSets
lineplot(-1..3, x -> x^5 - 5x^4 + 5x^3 + 5x^2 - 6x - 1; name="quintic") ┌────────────────────────────────────────┐
3 │⠀⠀⢀⣀⡀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ quintic
│⠀⢀⠎⠀⠑⢆⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⢸⠀⠀⠀⠈⡆⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⡇⠀⠀⠀⠀⠸⡀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⢸⠀⠀⠀⠀⠀⠀⢱⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⡼⠤⠤⠤⠤⠤⠤⠤⢧⠤⡧⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⡤⠮⠥⠤⠬⠶⡤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤│
│⡇⠀⠀⠀⠀⠀⠀⠀⠈⡆⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠜⠀⠀⠀⠀⠀⠀⠘⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
f(x) │⠇⠀⠀⠀⠀⠀⠀⠀⠀⠘⡇⠀⠀⠀⠀⠀⠀⠀⠀⡠⠋⠀⠀⠀⠀⠀⠀⠀⠀⠘⡄⠀⠀⠀⠀⠀⠀⠀⠀⢠│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡟⡄⠀⠀⠀⠀⠀⠀⡔⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⡀⠀⠀⠀⠀⠀⠀⠀⢸│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠘⠤⡀⠀⢀⡠⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢱⠀⠀⠀⠀⠀⠀⠀⡎│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠈⠉⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢆⠀⠀⠀⠀⠀⠀⡇│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⢸⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⡄⠀⠀⠀⡎⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⡀⠀⡔⠁⠀│
-5 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠉⠀⠀⠀│
└────────────────────────────────────────┘
⠀-1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀3⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀x⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Use head_tail to mimic plotting arrows (:head, :tail or :both) where the length of the "arrow" head or tail is controlled using head_tail_frac where e.g. giving a value of 0.1 means 10% of the segment length:
lineplot(1:10, 1:10, head_tail=:head, head_tail_frac=.1, height=4) ┌────────────────────────────────────────┐
10 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⣀⡠⠤⠤⠒⠒⠊⠉⠉│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⣀⡠⠤⠤⠒⠒⠊⠉⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⣀⡠⠤⠤⠒⠒⠊⠉⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
1 │⣀⣀⣀⠤⠤⠒⠒⠊⠉⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
└────────────────────────────────────────┘
⠀1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀10⠀ UnicodePlots exports hline! and vline! for drawing vertical and horizontal lines on a plot:
plt = Plot([NaN], [NaN]; xlim=(0, 8), ylim=(0, 8))
vline!(plt, [2, 6], [2, 6], color=:red)
hline!(plt, [2, 6], [2, 6], color=:white)
hline!(plt, 7, color=:cyan)
vline!(plt, 1, color=:yellow) ┌────────────────────────────────────────┐
8 │⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⣀⣀⣀⣀⣀⣇⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀│
│⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠓⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠒⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
0 │⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
└────────────────────────────────────────┘
⠀0⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀8⠀ Scatter plots: scatterplot
scatterplot(randn(50), randn(50), title="My Scatterplot") ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀My Scatterplot⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
┌────────────────────────────────────────┐
2 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠄⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⡀⠀⠀⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⡀⠀⠄⠀⠀⠀⠀⡇⠀⠤⠀⠀⠀⣀⠀⠀⠀⠀⠈⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⡀⠐⠀⠀⠈⡗⠀⠀⠀⠈⢀⠀⠀⠀⠀⠀⠠⠀⠀⠀⠀│
│⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠴⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⢴⡧⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤│
│⠀⠀⠀⠀⠄⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠁⠀⠀⠐⠀⠀⠁⠄⠀⡇⠠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⠀⠀⠈⡀⠀⠀⠂⠀⠀⡇⠀⠀⠀⢀⠀⠀⠀⠈⠀⠀⢀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠐⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄⠀⠀⠀⠀⠐⠀⡇⠀⠀⠐⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
-2 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
└────────────────────────────────────────┘
⠀-3⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀2⠀ Axis scaling (xscale and/or yscale) is supported: choose from (:identity, :ln, :log2, :log10) or use an arbitrary scale function:
scatterplot(1:10, 1:10, xscale=:log10, yscale=:log10) ┌────────────────────────────────────────┐
10¹ │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄⠈│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
10⁰ │⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
└────────────────────────────────────────┘
⠀10⁰⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀10¹⠀ For the axis scale exponent, one can revert to using ASCII characters instead of Unicode ones using the keyword unicode_exponent=false:
scatterplot(1:4, 1:4, xscale=:log10, yscale=:ln, unicode_exponent=false, height=6) ┌────────────────────────────────────────┐
ℯ^1.38629 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
ℯ^0 │⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
└────────────────────────────────────────┘
⠀10^0⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀10^0.60206⠀ Using a marker is supported, choose a Char, a unit length String or a symbol name such as :circle (more from keys(UnicodePlots.MARKERS)). One can also provide a vector of markers and/or colors as in the following example:
scatterplot([1, 2, 3], [3, 4, 1], marker=[:circle, '', "∫"],
color=[:cyan, nothing, :yellow], height=2) ┌────────────────────────────────────────┐
4 │⚬⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
1 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀∫│
└────────────────────────────────────────┘
⠀1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀3⠀ As with lineplot, scatterplot supports plotting physical Unitful quantities, or plotting multiple series (Matrix argument).
Staircase plots: stairs
stairs([1, 2, 4, 7, 8], [1, 3, 4, 2, 7],
color=:yellow, style=:post, height=6, title="Staircase") ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀Staircase⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
┌────────────────────────────────────────┐
7 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡏⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⡇⠀⠀⠀⠀⢸│
│⠀⠀⠀⠀⠀⢸⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⢸│
1 │⣀⣀⣀⣀⣀⣸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠉⠉⠉⠉⠉│
└────────────────────────────────────────┘
⠀1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀8⠀ Bar plots: barplot
barplot(["Paris", "New York", "Madrid"], [2.244, 8.406, 3.165], title="Population") Population
┌ ┐
Paris ┤■■■■■■■■■ 2.244
New York ┤■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■ 8.406
Madrid ┤■■■■■■■■■■■■ 3.165
└ ┘ Note: You can use the keyword argument symbols to specify the characters that should be used to plot the bars (e.g. symbols=['#']).
Histogram plots: histogram
histogram(randn(1_000) .* .1, nbins=15, closed=:left) ┌ ┐
[-0.35, -0.3 ) ┤▎ 1
[-0.3 , -0.25) ┤▊ 5
[-0.25, -0.2 ) ┤██▌ 14
[-0.2 , -0.15) ┤███████▎ 41
[-0.15, -0.1 ) ┤████████████████▌ 93
[-0.1 , -0.05) ┤███████████████████████████▎ 154
[-0.05, -0.0 ) ┤█████████████████████████████████▏ 187
[ 0.0 , 0.05) ┤███████████████████████████████████ 198
[ 0.05, 0.1 ) ┤████████████████████████████▌ 161
[ 0.1 , 0.15) ┤█████████████▍ 75
[ 0.15, 0.2 ) ┤████████▊ 50
[ 0.2 , 0.25) ┤███▏ 17
[ 0.25, 0.3 ) ┤▋ 4
└ ┘
Frequency The histogram function also supports axis scaling using the parameter xscale:
histogram(randn(1_000) .* .1, nbins=15, closed=:right, xscale=:log10) ┌ ┐
(-0.35, -0.3 ] ┤████▌ 2
(-0.3 , -0.25] ┤████████████▋ 7
(-0.25, -0.2 ] ┤██████████████▉ 10
(-0.2 , -0.15] ┤████████████████████████▊ 46
(-0.15, -0.1 ] ┤████████████████████████████▋ 83
(-0.1 , -0.05] ┤████████████████████████████████▋ 155
(-0.05, -0.0 ] ┤███████████████████████████████████ 222
( 0.0 , 0.05] ┤█████████████████████████████████▌ 175
( 0.05, 0.1 ] ┤███████████████████████████████▍ 127
( 0.1 , 0.15] ┤██████████████████████████████▎ 104
( 0.15, 0.2 ] ┤████████████████████████▎ 42
( 0.2 , 0.25] ┤█████████████████▌ 15
( 0.25, 0.3 ] ┤████████████████▎ 12
└ ┘
Frequency [log10] Vertical histograms are supported:
histogram(randn(100_000) .* .1, nbins=60, vertical=true, height=10) ┌ ┐
7 935 ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀▄██▄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀██████⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀▇███████⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀▅████████▆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀▄██████████▄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀▂████████████▃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀▂██████████████▂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀▃████████████████▃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀▁▅██████████████████▅▁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
0 ⠀⠀⠀⠀⠀⠀▁▁▂▄▆██████████████████████▆▃▂▁▁⠀⠀⠀⠀⠀⠀⠀
└ ┘
⠀-0.44⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀0.46⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀μ ± σ: 0.0 ± 0.1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Box plots: boxplot
boxplot([1, 3, 3, 4, 6, 10]) ┌ ┐
╷ ┌─┬────────┐ ╷
├───────┤ │ ├───────────────────┤
╵ └─┴────────┘ ╵
└ ┘
1 5.5 10 boxplot(["one", "two"],
[[1, 2, 3, 4, 5], [2, 3, 4, 5, 6, 7, 8, 9]],
title="Grouped Boxplot", xlabel="x") Grouped Boxplot
┌ ┐
╷ ┌────┬────┐ ╷
one ├───┤ │ ├────┤
╵ └────┴────┘ ╵
╷ ┌───────┬────────┐ ╷
two ├────────┤ │ ├────────┤
╵ └───────┴────────┘ ╵
└ ┘
1 5 9
x Sparsity pattern plots: spy
using SparseArrays
spy(sprandn(50, 120, .05)) ┌────────────────────────────────────────────────────────────┐
1 │⠂⠀⠀⠀⠀⠀⠀⠀⠁⠀⢀⠀⠀⠀⠀⠀⠠⠀⠄⠂⠠⠀⠀⠀⠂⡀⠀⠀⢐⠀⠄⠀⠀⠀⠀⠁⠁⠀⢀⠠⠀⠀⠀⠘⠀⠀⠠⠀⠈⠈⢀⠉⠀⠀⠀⠁⠂⠂⠂⠀│ > 0
│⠀⡀⠀⠀⢀⠂⠀⡀⡀⠀⠀⠀⠀⠀⠀⠘⠀⠀⣀⠀⠀⠠⠀⠀⠀⢀⠀⠀⠀⠀⠡⠀⠁⠈⠀⠀⢀⡀⠀⠀⡠⠁⠀⣀⠀⠠⠀⠀⠀⠀⠀⠀⠐⡀⠀⠐⠀⠀⠀⠀│ < 0
│⠄⠀⠀⠈⠀⠀⠀⠐⠀⠀⠀⠀⠀⠀⠄⡁⠂⢀⠀⠀⠈⠈⠀⠄⠀⡀⠀⠀⢀⡀⠀⠂⠈⠀⠠⢀⠄⠀⠀⠀⠀⠀⠠⠈⠐⠁⠄⠀⢀⠀⠀⠀⠀⠀⠂⠀⠐⢀⠀⠀│
│⠀⠀⠀⠀⠀⠁⠄⠢⠀⠀⠀⠠⠀⠡⠀⠁⠀⠀⠒⠀⠀⠀⠠⠈⡀⠀⠀⢀⠀⠀⠀⠀⠀⠐⠐⠀⠀⠀⠀⠀⠂⠀⠀⠀⠐⠀⠀⠐⠀⠀⢠⠀⠠⠈⠀⠀⢈⠀⠀⠀│
│⠀⠂⠈⠀⠀⠀⠀⠀⠒⠀⠀⠀⠉⠁⠀⠀⠀⠀⠐⡀⠁⠀⠁⠀⠀⠁⠐⠉⠀⠀⠂⠀⠀⠀⡀⠀⠐⠀⠊⠅⠁⠀⠀⠀⠀⠈⠀⠀⠀⠀⠁⠀⠀⡀⠀⠀⠀⠀⠀⠀│
│⠀⠠⠂⠀⠃⠀⡀⠀⠀⠄⠡⠀⠀⠀⠢⠄⠁⢀⠀⢀⠡⡀⠄⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠈⠂⠀⠂⠀⠄⠀⠀⠐⠄⠀⠀⠠⠀⠀⠀⠀⠀⠂⠈⠀⠀⠀⠂│
│⠀⠀⠀⡀⠀⠀⠀⠠⠀⠀⠀⠀⡀⡀⠄⠀⠤⠈⠀⠀⠈⢀⠐⠐⠀⠈⠈⠠⠀⠀⠀⠀⠄⠀⠀⡂⠀⠀⠀⠀⠀⠀⠀⠀⡈⠀⠀⠀⠈⠀⠀⠀⠀⠀⠠⠐⠠⢀⠄⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⢀⠈⠀⠀⠀⠀⠀⠐⠰⠀⠀⠀⠀⠀⠀⠰⠀⡁⠀⠀⠄⠠⠀⠀⡀⠁⠀⠀⠂⠀⠐⠀⠀⠀⠀⠃⠀⠀⠀⠀⠠⠀⠀⠀⠀│
│⠈⠁⠁⠀⠀⠀⠈⠒⠨⠀⠀⠂⠠⠀⠀⠀⠀⠠⠀⠄⠀⢉⠀⠀⠀⠀⢀⠀⠀⠄⠀⠀⠄⠈⠂⠀⠈⠀⠀⠃⠁⠀⠀⠀⠂⠀⠈⠀⠉⠐⠁⡈⠀⡀⠂⠈⡠⠀⠁⠀│
│⠠⠑⠀⠀⠀⠀⠅⠀⠀⠀⠀⠀⠀⠁⠠⠐⠐⠀⠈⠈⠀⠀⠀⠀⠀⠁⠀⠄⠄⠀⠀⠠⠀⠀⠀⠀⠀⠀⠀⠀⠄⠀⠀⠁⠀⠀⠠⠠⠀⠀⠀⢀⠀⠀⠀⠀⠀⢀⠀⠄│
│⠂⠀⢀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⡀⢀⠀⡀⠀⠐⠀⠀⡃⠀⠔⠀⠀⠀⠈⠀⠈⠀⢈⠀⠀⠄⠀⠀⠃⠌⠀⠀⠤⠠⠀⢀⠁⠀⠀⠀⠀⠀⡀⠘⠀│
50 │⠈⠆⠀⠀⠀⠀⠀⠀⠈⠂⠈⠀⠄⠀⠂⠀⠀⠀⠀⠀⠀⠈⠐⠀⠀⠆⠀⠀⠀⠀⠀⠀⠈⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠐⠀⠀⠀⠀⠀⠀⠄⠀⠀⠀⠁⠀⠀⠀⠀⠀│
└────────────────────────────────────────────────────────────┘
⠀1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀120⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀314 ≠ 0⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Plotting the zeros pattern is also possible using show_zeros=true:
using SparseArrays
spy(sprandn(50, 120, .9), show_zeros=true) ┌────────────────────────────────────────────────────────────┐
1 │⡀⠊⠈⠀⠄⠁⠉⠒⠀⠀⠀⠀⠈⠠⠀⠀⠀⠀⠄⠄⢀⠠⠁⠀⠊⢈⠀⠡⠀⢀⠀⠀⠈⠤⡀⠄⠆⠈⠂⠐⠹⠁⠁⠠⠀⡀⡀⠀⠀⢀⢁⠐⠐⢄⠈⠂⠈⢑⠁⡀│ ⩵ 0
│⢄⠂⠄⢀⠠⠀⠁⠀⠀⠠⠂⠠⢊⠀⠩⠈⡠⠙⠄⠈⠄⡂⠀⡀⠀⠊⠆⠀⠂⠀⡂⠈⠘⠀⠀⠁⡠⠂⠠⠄⠀⡀⠐⠁⠂⡐⡄⠐⠄⠀⠨⠈⠠⠄⠀⠀⠀⠀⠐⠄│
│⠄⢀⠀⡀⢑⠀⡁⠡⠀⠁⢂⠰⢀⢠⠢⠀⢀⠀⠀⠀⡀⠠⠀⣀⠐⠠⠀⠀⠀⠀⠑⠂⠉⠀⠂⢂⠀⣀⡀⠅⠐⠂⡀⠀⠈⠄⢀⠠⡀⠀⠠⠀⠀⡔⠀⠀⠁⠈⠋⠀│
│⠀⠐⠀⠀⠈⡁⠀⠀⠤⡠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄⠂⠀⠀⣂⠈⠈⠂⠁⢀⠀⠂⠉⠠⠠⠀⠀⠀⠀⠀⠈⠀⠐⢁⡀⠠⠀⡁⠈⠀⠀⢢⡀⠄⠐⠀⠀⠀⢁⢉⠀│
│⠄⠀⠄⠉⡤⠀⠀⠁⠢⠀⣖⠈⠄⠂⠀⠢⠀⠀⠀⠁⢀⠀⠁⠀⠈⠈⠁⡁⠨⠈⠀⠐⠔⠉⠀⠀⢐⠂⠐⠉⡈⠄⡀⠀⠄⠈⠊⠄⡐⠁⠀⠀⢁⠠⠐⢀⢀⠁⠐⠄│
│⠢⠀⡀⠀⠠⠀⠈⡂⠀⠀⠀⡄⠀⠈⠀⠀⠀⠀⢐⠀⠀⠀⠀⠀⢀⠀⠀⠀⡃⠂⠀⠀⢡⠀⡁⠠⠐⠀⠁⠀⠀⢀⡡⠀⠀⠀⠀⠑⠠⠐⠰⠀⠈⠀⠈⠀⢀⠁⠀⠀│
│⣀⠁⢀⠀⠐⡉⠀⠀⠠⠂⠀⠂⠀⠆⠄⠀⡄⠀⠀⠀⠔⠂⠠⠀⠀⠠⠀⡢⠔⣀⠀⣈⢂⠀⠃⠂⠀⠀⠀⠆⠀⠃⠁⢀⠐⠀⠀⡀⠀⠀⠒⠐⠔⠨⠠⠐⡀⠈⠀⠂│
│⠄⠀⠀⠁⠡⠀⠀⣀⡀⢀⠠⠀⠀⠀⠁⠀⠠⠀⠂⡀⠀⠀⠳⡀⢁⢡⢂⠀⠠⢌⠀⠀⠀⠄⠐⠀⠀⠀⠀⠨⠀⠀⠀⠄⢀⠀⠀⠀⠀⡐⠆⠀⠀⠅⠡⠀⠀⢠⠆⠀│
│⡀⠀⠠⠈⠄⠁⠁⠀⢀⠁⡀⠨⠀⠀⢐⢂⠂⠀⠈⠀⠀⠁⠀⠔⠊⢀⠌⠁⡂⠈⠀⠀⠄⡈⠃⠆⠀⠅⡃⡈⠁⠀⡀⠁⠀⠀⢡⠨⠀⢄⠀⠐⠀⡈⠀⠀⠀⠀⠂⠄│
│⠄⠈⠀⠀⠠⠆⠁⠁⠠⡀⡀⠀⠀⠀⠃⠐⠀⠀⠀⠀⠀⢁⠀⠀⠀⢩⠀⠈⡀⠀⠡⠂⠀⠑⠀⠘⠀⠐⠄⠀⠠⠀⠑⠠⡀⠁⠐⠀⢀⠀⠈⠄⠂⠄⠄⠉⠀⠠⠀⠀│
│⠀⠀⠢⠁⠁⠀⡀⠀⡈⠉⠀⢃⠁⠠⠀⠀⠀⠉⠐⢀⠀⠀⢐⠀⠀⠉⢠⠂⠀⠀⠀⢀⠀⡈⠄⠀⠨⠀⠀⠀⠀⠀⠀⠀⠈⠆⠀⠁⡀⢀⠊⠀⢀⠀⠈⠄⠀⠀⠀⡁│
50 │⠀⠀⠁⠄⠀⠀⠀⠀⠆⠄⠀⠀⠈⠀⠈⠀⠁⠈⠀⠀⠀⠀⠀⠘⠀⠀⠀⠀⠀⠄⠀⠠⠃⠀⠂⠀⠀⠠⠀⠁⠀⠠⠀⠁⠄⠠⠀⠀⠈⠀⠀⠂⠄⠀⠀⠀⠈⠀⠀⠀│
└────────────────────────────────────────────────────────────┘
⠀1⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀120⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀602 ⩵ 0⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Density plots: densityplot
plt = densityplot(randn(10_000), randn(10_000))
densityplot!(plt, randn(10_000) .+ 2, randn(10_000) .+ 2) ┌────────────────────────────────────────┐
5 │ │
│ ░ ░ │
│ ░░░░░▒▒▒░░░░░░ │
│ ░░░░▒▒▒▓▓▓▓▓▓▒▒▒░░░░│
│ ░░░░░▒▒▒▒▓▓▓███▓▓▒▒▒░░░│
│ ░░░░▒░▒▒▒▒▓▒▓▓█▓▓▓▓▓▒▒▒░░░░│
│ ░░░▒▒▒▒▓█▓▓▓▓▓▓▒▒▒▒▒▒░░░░░░ │
│ ░░░░▒▒▓▓███▓▓▓▓▒▒▒░░░░ │
│ ░░░░░▒▒▒▓▓▓▓▒▒▒▒░░░░ │
│ ░░░░▒░░░▒░░░░░ │
│ ░ │
│ │
│ │
│ │
-5 │ │
└────────────────────────────────────────┘
-4 4 Using a scale function (e.g. for damping peaks) is supported using the dscale keyword:
x = randn(10_000); x[1_000:6_000] .= 2
densityplot(x, randn(10_000); dscale=x -> log(1 + x)) ┌────────────────────────────────────────┐
4 │ │
│ ░ ░ │
│ ░░ ░░ ░░░ ░ ▒ │
│ ░ ░░░░░ ░░░░░░░░░░░ ▓ │
│ ░░░░░▒░▒▒▒▒▒▒▒▒░▒░░░░▓ │
│ ░░░░░▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒░░█░░ │
│ ░░░░░▒▒▒▒▒▒▒▒▓▓▒▒▒▒▒▒▒▒▒░█░░ │
│ ░░░░░▒▒▒▒▒▒▒▓▓▓▒▒▒▒▒▒▒▒▒█░░░ │
│ ░░░░░▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒░█░░ │
│ ░ ░░░▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒░▒░█░ │
│ ░░░▒░▒▒▒▒▒▒▒▒▒▒▒░░░░▓░ │
│ ░░░░░░░░░░▒░░░░░░░░░▓ │
│ ░ ░░░ ░ ░ ░ ▒ │
│ ░ ░ │
-4 │ │
└────────────────────────────────────────┘
-4 4 Contour plots: contourplot
contourplot(-3:.01:3, -7:.01:3, (x, y) -> exp(-(x / 2)^2 - ((y + 2) / 4)^2)) ┌────────────────────────────────────────┐ 1
3 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣀⣠⠤⠤⠤⠤⠤⠤⣄⣀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ ┌──┐
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣠⠖⠊⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠑⠲⣄⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⣠⠖⠋⠀⠀⠀⠀⢀⣀⡤⠤⠤⠤⠤⢤⣀⡀⠀⠀⠀⠀⠙⠲⣄⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⢀⡜⠁⠀⠀⠀⣠⠴⠊⠉⠀⠀⠀⠀⠀⠀⠀⠀⠉⠑⠦⣄⠀⠀⠀⠈⢣⡀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⢠⠏⠀⠀⠀⢠⠞⠁⠀⠀⢀⡤⠴⠒⠒⠒⠒⠦⢤⡀⠀⠀⠈⠳⡄⠀⠀⠀⠹⡄⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⡞⠀⠀⠀⢠⠏⠀⠀⢀⡴⠋⠀⠀⠀⠀⠀⠀⠀⠀⠙⢦⡀⠀⠀⠹⡄⠀⠀⠀⢳⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⢸⠁⠀⠀⠀⡏⠀⠀⠀⡞⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢳⠀⠀⠀⢹⠀⠀⠀⠈⡇⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⢸⠀⠀⠀⠀⡇⠀⠀⢸⡁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢈⡇⠀⠀⢸⠀⠀⠀⠀⡇⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⢸⡀⠀⠀⠀⣇⠀⠀⠀⢧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡼⠀⠀⠀⣸⠀⠀⠀⢀⡇⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⢇⠀⠀⠀⠘⣆⠀⠀⠈⠳⣄⠀⠀⠀⠀⠀⠀⠀⠀⣀⠞⠁⠀⠀⣰⠃⠀⠀⠀⡸⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠘⣆⠀⠀⠀⠘⢦⡀⠀⠀⠈⠓⠲⠤⠤⠤⠤⠖⠚⠁⠀⠀⢀⡴⠃⠀⠀⠀⣰⠃⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠈⢣⡀⠀⠀⠀⠙⠲⢄⣀⠀⠀⠀⠀⠀⠀⠀⠀⣀⡠⠖⠋⠀⠀⠀⢀⡜⠁⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠙⠦⣄⠀⠀⠀⠀⠈⠉⠓⠒⠒⠒⠒⠚⠉⠁⠀⠀⠀⠀⣠⠴⠋⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠙⠦⢄⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⡠⠴⠋⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
-7 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠉⠙⠒⠒⠒⠒⠒⠒⠋⠉⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ └──┘
└────────────────────────────────────────┘ 0.02
⠀-3⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀3⠀ The keyword levels controls the number of contour levels. One can also choose a colormap as with heatmap, and disable the colorbar using colorbar=false.
Polar plots: polarplot
Plots data in polar coordinates with θ the angles in radians.
polarplot(range(0, 2π, length=20), range(0, 2, length=20)) ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀90°⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⡤⠤⠒⠒⠉⠉⠉⠉⠉⡏⠉⠉⠉⠉⠓⠒⠦⠤⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⢀⡤⠒⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠒⠤⡀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⡠⠞⠓⢄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠜2⢄⠀⠀⠀⠀⠀
⠀⠀⠀⣠⠊⠀⠀⠀⠀⠉⠢⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠊⠁⠀⠀⠀⠱⣄⠀⠀⠀
⠀⠀⡴⠁⠀⠀⠀⠀⠀⠀⠀⠀⠑⠤⡀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀1⠔⠁⠀⠀⠀⠀⠀⠀⠀⠈⢦⠀⠀
⠀⡸⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣈⠶⢖⠒⠒⠒⠢⣇⡀⠀⠀⢀⠔⠊⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⣇⠀
⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠔⠁⠀⠀⠀⠉⠢⣀⠀⡇⢣⡠⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀
180° ⠀⡧⠤⠤⠤⠤⠤⠤⠤⠤⢤⠧⠤⠤⠤⠤⠤⠤⠤⠤⡵0⡭⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⠤⢼⠀ 0°
⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⢀⠔⠊⠀⡇⠈⠒⢄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⢿⠀
⠀⢱⡀⠀⠀⠀⠀⠀⠀⠀⠸⡀⠀⠀⢀⡠⠊⠁⠀⠀⠀⡇⠀⠀⠀⠉⠢⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⢎⡏⠀
⠀⠀⠳⡀⠀⠀⠀⠀⠀⠀⠀⠱⡠⠔⠁⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠑⠤⡀⠀⠀⠀⠀⠀⢀⠔⢁⠞⠀⠀
⠀⠀⠀⠙⢄⠀⠀⠀⠀⢀⠔⠊⠈⠢⣀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠈⠒⢄⢀⡠⠔⠁⡰⠋⠀⠀⠀
⠀⠀⠀⠀⠀⠑⢦⡠⠊⠁⠀⠀⠀⠀⠀⠉⠒⠢⢄⣀⠀⡇⠀⠀⠀⠀⠀⢀⣀⣀⡠⠔⠊⠉⢢⡤⠊⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠈⠓⠤⣀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠉⡏⠉⠉⠉⠉⠉⠁⠀⠀⠀⣀⠤⠒⠁⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠓⠒⠤⠤⣀⣀⣀⣀⣀⣇⣀⣀⣀⣀⡤⠤⠖⠒⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀270°⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ Heatmap plots: heatmap
heatmap(repeat(collect(0:10)', outer=(11, 1)), zlabel="z") ┌───────────┐ 10
11 │▄▄▄▄▄▄▄▄▄▄▄│ ┌──┐
│▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
│▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
│▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│ z
│▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
1 │▄▄▄▄▄▄▄▄▄▄▄│ └──┘
└───────────┘ 0
1 11 The heatmap function also supports axis scaling using the parameters xfact, yfact and axis offsets after scaling using xoffset and yoffset.
The colormap parameter may be used to specify a named or custom colormap. See the heatmap function documentation for more details.
In addition, the colorbar and colorbar_border options may be used to toggle the colorbar and configure its border.
The zlabel option and zlabel! method may be used to set the z axis (colorbar) label.
Use the array keyword in order to display the matrix in the array convention (as in the repl).
heatmap(collect(0:30) * collect(0:30)', xfact=.1, yfact=.1, xoffset=-1.5, colormap=:inferno) ┌────────────────────────┐ 900
3 │▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄│ ┌──┐
│▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
│▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
│▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
│▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
│▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
│▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
│▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
│▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
│▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
│▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄│ │▄▄│
0 │▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄│ └──┘
└────────────────────────┘ 0
-1.5 1.5 Image plots: imageplot
Draws an image, and surround it with decorations. Sixel are supported (experimental) under a compatible terminal through ImageInTerminal (which must be imported before UnicodePlots).
import ImageInTerminal # mandatory (triggers extension - weak dependency - loading)
using TestImages
imageplot(testimage("monarch_color_256"), title="monarch") monarch
┌ ┐
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
└ ┘ Surface plots: surfaceplot
Plots a colored surface using height values z above a x-y plane, in three dimensions (masking values using NaNs is supported).
sombrero(x, y) = 15sinc(√(x^2 + y^2) / π)
surfaceplot(-8:.5:8, -8:.5:8, sombrero, colormap=:jet) ┌────────────────────────────────────────┐ 15
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ ┌──┐
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡰⡃⢝⢆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢠⠭⠂⠒⠭⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⣀⣠⣤⣴⣥⡅⣭⣬⣦⣤⣄⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⣤⣖⡻⠝⡪⢒⢵⣥⡫⠇⠼⢝⣬⡮⡒⢕⠫⢟⣲⣤⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⣠⣾⣿⢗⣒⣊⡩⠔⢁⢎⣐⡱⡁⢏⢎⣂⡱⡈⠢⢍⣑⣒⡺⣿⣷⣄⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⣠⣾⡿⠿⣿⣿⣕⣒⣒⣊⣽⣯⡮⠵⠅⠮⠮⢵⣽⣯⣑⣒⣒⣪⣿⣿⠿⢿⣷⣄⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠐⠻⠿⠛⠛⠛⠛⠽⢿⣶⣶⡾⠓⠉⠢⠈⡀⢁⠁⠔⠉⠚⢷⣶⣶⡿⠯⠛⠛⠛⠛⠿⠟⠂⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⠿⣯⣯⣓⢶⣷⡆⣶⣾⡶⣚⣽⣽⠿⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠻⡳⡻⡃⢟⢟⢞⠟⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⢀⡠⠼⠤⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠪⠆⡵⠕⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠊⠁⠀⠀⠀⠀⠉⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ └──┘
└────────────────────────────────────────┘ -3 Use lines=true to increase the density (underlying call to lineplot instead of scatterplot, with color interpolation). By default, surfaceplot scales heights to adjust aspect wrt the remaining axes with zscale=:aspect. To plot a slice in 3D, use an anonymous function which maps to a constant value: zscale=z -> a_constant:
surfaceplot(
-2:2, -2:2, (x, y) -> 15sinc(√(x^2 + y^2) / π),
zscale=z -> 0, lines=true, colormap=:jet
) ┌────────────────────────────────────────┐ 15
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ ┌──┐
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔⠒⡗⠒⠤⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⠤⠒⡞⠳⢖⡒⠒⡗⠒⣒⠶⠛⡖⠢⢄⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⣀⡠⠔⡞⠿⣒⡒⠒⡗⠒⣒⡺⠟⡟⠿⣒⡒⠒⡗⠒⣒⡺⠟⡖⠤⣀⡀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⢀⡠⠤⡶⠿⣒⠒⠒⡗⠒⢒⡺⠷⡷⠿⣒⠒⠒⡗⠒⢒⡺⠷⡷⠿⣒⠒⠒⡗⠒⢒⡺⠷⡦⠤⣀⠀⠀│ │▄▄│
│⠴⢮⡥⠤⠤⡧⠤⠤⣭⠶⡷⢮⡥⠤⠤⡧⠤⠤⣭⠶⡷⢮⡥⠤⠤⡧⠤⠤⣭⠶⡷⢮⡥⠤⠤⡧⠤⠤⣭⠶│ │▄▄│
│⠀⠀⠈⠑⠒⠷⣶⠭⠤⠤⡧⠤⠬⢵⡶⡷⣶⠭⠤⠤⡧⠤⠬⢵⡶⡷⣶⠭⠤⠤⡧⠤⠬⢵⡶⠗⠒⠉⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠉⠑⠢⢧⣶⠭⠥⠤⡧⠤⠭⢵⣦⣧⣶⠭⠥⠤⡧⠤⠭⢵⣦⠧⠒⠉⠁⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠒⠤⢧⡴⠮⠥⠤⡧⠤⠭⠶⣤⠧⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠑⠢⠤⡧⠤⠒⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠀⢀⡠⠼⠤⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ │▄▄│
│⠊⠁⠀⠀⠀⠀⠉⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ └──┘
└────────────────────────────────────────┘ 2 Isosurface plots: isosurface
Uses MarchingCubes.jl to extract an isosurface, where isovalue controls the surface isovalue. Using centroid enables plotting the triangulation centroids instead of the triangle vertices (better for small plots). Back face culling (hide not visible facets) can be activated using cull=true. One can use the legacy 'Marching Cubes' algorithm using legacy=true.
torus(x, y, z, r=0.2, R=0.5) = (√(x^2 + y^2) - R)^2 + z^2 - r^2
isosurface(-1:.1:1, -1:.1:1, -1:.1:1, torus, cull=true, zoom=2, elevation=50) ┌────────────────────────────────────────┐
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⢀⢀⠠⢄⢄⠄⠄⡠⡠⠤⡀⡀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠔⠌⠜⠀⠡⠠⠁⠡⠠⠁⠈⠄⠌⠈⠄⠌⠀⠪⠠⠤⡀⡀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⡠⠔⠅⠌⠈⠄⠌⠀⡁⡀⠨⡀⠄⠠⠡⠠⡀⠥⠠⠈⠀⠡⠠⠁⠡⠱⠢⡀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⢀⣜⠃⡁⠄⢊⠈⠄⡰⠐⡀⢂⡞⢈⡰⡨⡂⢆⡁⣱⠔⢁⠘⢀⠠⠁⡑⠠⢈⠘⣲⡀⠀⠀⠀⠀│
│⠀⠀⠀⠀⡚⠥⠁⡀⠂⢂⠈⠄⡖⡫⠗⠋⠉⠀⠀⠀⠀⠀⠈⠉⠉⠱⢝⠱⠠⠁⡐⠐⢀⠈⢌⢧⠀⠀⠀⠀│
│⠀⠀⠀⠀⡟⠤⠁⡀⠂⢂⢈⠄⢮⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡿⠠⡁⡐⠐⢀⠈⢤⢚⠀⠀⠀⠀│
│⠀⠀⠀⠀⢽⠗⠅⡀⠂⢂⢀⠂⢂⠓⡢⡄⣀⠀⠀⠀⠀⠀⢀⡀⢀⢰⠂⡑⠐⡀⡐⠐⠀⠨⢔⡟⠀⠀⠀⠀│
│⠀⠀⠀⠀⠈⠭⠄⠌⠰⠀⡀⠂⢂⠀⡐⠐⠌⠔⠑⠅⠡⠊⠢⠡⠂⢂⠀⡐⠐⣀⠐⠠⡁⡃⡑⠁⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠈⠨⠅⠄⠌⠀⡆⢀⠐⠐⢀⠐⠐⠀⠄⠂⠂⡀⠂⡂⡀⠂⢂⠀⡂⢐⠔⠈⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠢⢥⢀⡂⡃⠇⠃⡁⡡⠨⡈⡨⠈⠬⠨⠢⢈⢠⠑⠒⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⠀⢠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠈⠋⠓⠂⠊⠒⠂⠚⠘⠚⠙⠉⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠀⠀⣀⠼⢄⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
│⠔⠉⠀⠀⠀⠈⠑⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
└────────────────────────────────────────┘