use plotters::prelude::*; use rand::SeedableRng; use rand_distr::{Distribution, Normal}; use rand_xorshift::XorShiftRng; use num_traits::sign::Signed; fn main() -> Result<(), Box> { let sd = 0.60; let random_points: Vec = { let norm_dist = Normal::new(0.0, sd).unwrap(); let mut x_rand = XorShiftRng::from_seed(*b"MyFragileSeed123"); let x_iter = norm_dist.sample_iter(&mut x_rand); x_iter.take(5000).filter(|x| x.abs() <= 4.0).collect() }; let root = BitMapBackend::new("plotters-doc-data/normal-dist2.png", (1024, 768)).into_drawing_area(); root.fill(&WHITE)?; let mut chart = ChartBuilder::on(&root) .margin(5) .caption("1D Gaussian Distribution Demo", ("sans-serif", 30)) .set_label_area_size(LabelAreaPosition::Left, 60) .set_label_area_size(LabelAreaPosition::Bottom, 60) .set_label_area_size(LabelAreaPosition::Right, 60) .build_cartesian_2d(-4f64..4f64, 0f64..0.1)? .set_secondary_coord( (-4f64..4f64).step(0.1).use_round().into_segmented(), 0u32..500u32, ); chart .configure_mesh() .disable_x_mesh() .disable_y_mesh() .y_label_formatter(&|y| format!("{:.0}%", *y * 100.0)) .y_desc("Percentage") .draw()?; chart.configure_secondary_axes().y_desc("Count").draw()?; let actual = Histogram::vertical(chart.borrow_secondary()) .style(GREEN.filled()) .margin(3) .data(random_points.iter().map(|x| (*x, 1))); chart .draw_secondary_series(actual)? .label("Observed") .legend(|(x, y)| Rectangle::new([(x, y - 5), (x + 10, y + 5)], GREEN.filled())); let pdf = LineSeries::new( (-400..400).map(|x| x as f64 / 100.0).map(|x| { ( x, (-x * x / 2.0 / sd / sd).exp() / (2.0 * std::f64::consts::PI * sd * sd).sqrt() * 0.1, ) }), &RED, ); chart .draw_series(pdf)? .label("PDF") .legend(|(x, y)| PathElement::new(vec![(x, y), (x + 20, y)], RED.filled())); chart.configure_series_labels().draw()?; Ok(()) } #[test] fn entry_point() { main().unwrap() }