first example with the breeze data visualization / published by https://github.com/dacr/code-examples-manager #397850d8-c2c7-44ae-a18b-3708ceba3704/7d50754dbcb05ad7cea89ef6bd7d35cc83897f7c

breeze-simple-1.sc

// summary : first example with the breeze data visualization
// keywords : plotting, breeze, math
// publish : gist
// authors : breeze documentation
// license : Apache NON-AI License Version 2.0 (https://raw.githubusercontent.com/non-ai-licenses/non-ai-licenses/main/NON-AI-APACHE2)
// id : 397850d8-c2c7-44ae-a18b-3708ceba3704
// created-on : 2020-10-11T15:05:16Z
// managed-by : https://github.com/dacr/code-examples-manager
// run-with : scala-cli $file

// ---------------------
//> using scala  "3.2.2"
//> using dep "org.scalanlp::breeze:2.1.0"
//> using dep "org.scalanlp::breeze-viz:2.1.0"
// ---------------------

// breeze viz documentation : https://github.com/scalanlp/breeze/wiki/Quickstart
// Very interesting API :)

import breeze.linalg.*
import breeze.plot.*
import breeze.stats.distributions.*
import breeze.stats.distributions.Rand.VariableSeed.randBasis

val f = Figure()

val p = f.subplot(0)
val x = linspace(0.0, 10.0, 1000)
p += plot(x, x ^:^ 2.0, name = "a")
p += plot(x, x ^:^ 3.0, name = "b", style = '.')
p.xlabel = "x axis"
p.ylabel = "y axis"
p.legend = true
//f.saveas("lines.png") // save current figure as a .png, eps and pdf also supported

val p2 = f.subplot(2, 1, 1)
val g  = breeze.stats.distributions.Gaussian(0, 1)
p2 += hist(g.sample(100000), 100)
p2.title = "A normal distribution"
f.saveas("subplots.png")

scala.io.StdIn.readLine("Press enter to quit")