[−][src]Crate ploteria
Criterion's plotting library.
WARNING This library is criterion's implementation detail and there no plans to stabilize it. In other words, the API may break at any time without notice.
Examples
- Simple "curves" (based on
simple.dem
)
extern crate itertools_num; extern crate ploteria as plot; use itertools_num::linspace; use plot::prelude::*; let ref xs = linspace::<f64>(-10., 10., 51).collect::<Vec<_>>(); Figure::new() .configure_key(|k| { k.boxed(true) .position(Position::Inside(Vertical::Top, Horizontal::Left)) }) .plot(LinesPoints { x: xs, y: xs.iter().map(|x| x.sin()), }, |lp| { lp.color(Color::DarkViolet) .label("sin(x)") .line_type(LineType::Dash) .point_size(1.5) .point_type(PointType::Circle) }) .plot(Steps { x: xs, y: xs.iter().map(|x| x.atan()), }, |s| { s.color(Color::Rgb(0, 158, 115)) .label("atan(x)") .line_width(2.) }) .plot(Impulses { x: xs, y: xs.iter().map(|x| x.atan().cos()), }, |i| { i.color(Color::Rgb(86, 180, 233)) .label("cos(atan(x))") }) .draw() // (rest of the chain has been omitted)
- error bars (based on Julia plotting tutorial)
extern crate itertools_num; extern crate rand; extern crate ploteria as plot; use std::f64::consts::PI; use itertools_num::linspace; use rand::{Rng, XorShiftRng}; use plot::prelude::*; fn sinc(mut x: f64) -> f64 { if x == 0. { 1. } else { x *= PI; x.sin() / x } } let ref xs_ = linspace::<f64>(-4., 4., 101).collect::<Vec<_>>(); // Fake some data let ref mut rng: XorShiftRng = rand::thread_rng().gen(); let xs = linspace::<f64>(-4., 4., 13).skip(1).take(11); let ys = xs.map(|x| sinc(x) + 0.05 * rng.gen::<f64>() - 0.025).collect::<Vec<_>>(); let y_low = ys.iter().map(|&y| y - 0.025 - 0.075 * rng.gen::<f64>()).collect::<Vec<_>>(); let y_high = ys.iter().map(|&y| y + 0.025 + 0.075 * rng.gen::<f64>()).collect::<Vec<_>>(); let xs = linspace::<f64>(-4., 4., 13).skip(1).take(11); let xs = xs.map(|x| x + 0.2 * rng.gen::<f64>() - 0.1); Figure::new() .configure_axis(Axis::BottomX, |a| { a.tick_labels(TicLabels { labels: &["-π", "0", "π"], positions: &[-PI, 0., PI], }) }) .configure_key(|k| k.position(Position::Outside(Vertical::Top, Horizontal::Right))) .plot(Lines { x: xs_, y: xs_.iter().cloned().map(sinc), }, |l| { l.color(Color::Rgb(0, 158, 115)) .label("sinc(x)") .line_width(2.) }) .plot(YErrorBars { x: xs, y: &ys, y_low: &y_low, y_high: &y_high, }, |eb| { eb.color(Color::DarkViolet) .line_width(2.) .point_type(PointType::FilledCircle) .label("measured") }) .draw() // (rest of the chain has been omitted)
- Candlesticks (based on
candlesticks.dem
)
extern crate rand; extern crate ploteria as plot; use plot::prelude::*; use rand::Rng; let xs = 1..11; // Fake some data let mut rng = rand::thread_rng(); let bh = xs.clone().map(|_| 5f64 + 2.5 * rng.gen::<f64>()).collect::<Vec<_>>(); let bm = xs.clone().map(|_| 2.5f64 + 2.5 * rng.gen::<f64>()).collect::<Vec<_>>(); let wh = bh.iter().map(|&y| y + (10. - y) * rng.gen::<f64>()).collect::<Vec<_>>(); let wm = bm.iter().map(|&y| y * rng.gen::<f64>()).collect::<Vec<_>>(); let m = bm.iter().zip(bh.iter()).map(|(&l, &h)| (h - l) * rng.gen::<f64>() + l) .collect::<Vec<_>>(); Figure::new() .box_width(0.2) .configure_axis(Axis::BottomX, |a| a.range(Range::Limits(0., 11.))) .plot(Candlesticks { x: xs.clone(), whisker_min: &wm, box_min: &bm, box_high: &bh, whisker_high: &wh, }, |cs| { cs.color(Color::Rgb(86, 180, 233)) .label("Quartiles") .line_width(2.) }) // trick to plot the median .plot(Candlesticks { x: xs, whisker_min: &m, box_min: &m, box_high: &m, whisker_high: &m, }, |cs| { cs.color(Color::Black) .line_width(2.) }) .draw() // (rest of the chain has been omitted)
- Multiaxis (based on
multiaxis.dem
)
extern crate itertools_num; extern crate num_complex; extern crate ploteria as plot; use std::f64::consts::PI; use itertools_num::linspace; use num_complex::Complex; use plot::prelude::*; fn tf(x: f64) -> Complex<f64> { Complex::new(0., x) / Complex::new(10., x) / Complex::new(1., x / 10_000.) } let (start, end): (f64, f64) = (1.1, 90_000.); let ref xs = linspace(start.ln(), end.ln(), 101).map(|x| x.exp()).collect::<Vec<_>>(); let phase = xs.iter().map(|&x| tf(x).arg() * 180. / PI); let magnitude = xs.iter().map(|&x| tf(x).norm()); Figure::new() .title("Frequency response") .configure_axis(Axis::BottomX, |a| a .configure_major_grid(|g| g.show()) .label("Angular frequency (rad/s)") .range(Range::Limits(start, end)) .scale(Scale::Logarithmic)) .configure_axis(Axis::LeftY, |a| a .label("Gain") .scale(Scale::Logarithmic)) .configure_axis(Axis::RightY, |a| a .configure_major_grid(|g| g.show()) .label("Phase shift (°)")) .configure_key(|k| k .position(Position::Inside(Vertical::Top, Horizontal::Center)) .title(" ")) .plot(Lines { x: xs, y: magnitude, }, |l| l .color(Color::DarkViolet) .label("Magnitude") .line_width(2.)) .plot(Lines { x: xs, y: phase, }, |l| l .axes(Axes::BottomXRightY) .color(Color::Rgb(0, 158, 115)) .label("Phase") .line_width(2.)) .draw() // (rest of the chain has been omitted)
- Filled curves (based on
transparent.dem
)
extern crate itertools_num; extern crate ploteria as plot; use std::f64::consts::PI; use std::iter; use itertools_num::linspace; use plot::prelude::*; let (start, end) = (-5., 5.); let ref xs = linspace(start, end, 101).collect::<Vec<_>>(); let zeros = iter::repeat(0); fn gaussian(x: f64, mu: f64, sigma: f64) -> f64 { 1. / (((x - mu).powi(2) / 2. / sigma.powi(2)).exp() * sigma * (2. * PI).sqrt()) } Figure::new() .title("Transparent filled curve") .configure_axis(Axis::BottomX, |a| a.range(Range::Limits(start, end))) .configure_axis(Axis::LeftY, |a| a.range(Range::Limits(0., 1.))) .configure_key(|k| { k.justification(Justification::Left) .order(Order::SampleText) .position(Position::Inside(Vertical::Top, Horizontal::Left)) .title("Gaussian Distribution") }) .plot(FilledCurve { x: xs, y1: xs.iter().map(|&x| gaussian(x, 0.5, 0.5)), y2: zeros.clone(), }, |fc| { fc.color(Color::ForestGreen) .label("μ = 0.5 σ = 0.5") }) .plot(FilledCurve { x: xs, y1: xs.iter().map(|&x| gaussian(x, 2.0, 1.0)), y2: zeros.clone(), }, |fc| { fc.color(Color::Gold) .label("μ = 2.0 σ = 1.0") .opacity(0.5) }) .plot(FilledCurve { x: xs, y1: xs.iter().map(|&x| gaussian(x, -1.0, 2.0)), y2: zeros, }, |fc| { fc.color(Color::Red) .label("μ = -1.0 σ = 2.0") .opacity(0.5) }) .draw() .ok() .and_then(|gnuplot| { gnuplot.wait_with_output().ok().and_then(|p| String::from_utf8(p.stderr).ok()) }));
Modules
axis | Coordinate axis |
candlestick | "Candlestick" plots |
curve | Simple "curve" like plots |
errorbar | Error bar plots |
filledcurve | Filled curve plots |
key | Key (or legend) |
prelude | A collection of the most used traits, structs and enums |
traits | Traits |
Structs
Figure | Plot container |
Version | Structure representing a gnuplot version number. |
Enums
Color | Color |
LineType | Line type |
PointType | Point type |
Terminal | Output terminal |
VersionError | Possible errors when parsing gnuplot's version string |
Functions
version | Returns |