[−][src]Crate criterion_plot
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 criterion_plot 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.set(Boxed::Yes) .set(Position::Inside(Vertical::Top, Horizontal::Left)) }) .plot(LinesPoints { x: xs, y: xs.iter().map(|x| x.sin()), }, |lp| { lp.set(Color::DarkViolet) .set(Label("sin(x)")) .set(LineType::Dash) .set(PointSize(1.5)) .set(PointType::Circle) }) .plot(Steps { x: xs, y: xs.iter().map(|x| x.atan()), }, |s| { s.set(Color::Rgb(0, 158, 115)) .set(Label("atan(x)")) .set(LineWidth(2.)) }) .plot(Impulses { x: xs, y: xs.iter().map(|x| x.atan().cos()), }, |i| { i.set(Color::Rgb(86, 180, 233)) .set(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 criterion_plot 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::BottomX, |a| { a.set(TicLabels { labels: &["-π", "0", "π"], positions: &[-PI, 0., PI], }) }) .configure(Key, |k| k.set(Position::Outside(Vertical::Top, Horizontal::Right))) .plot(Lines { x: xs_, y: xs_.iter().cloned().map(sinc), }, |l| { l.set(Color::Rgb(0, 158, 115)) .set(Label("sinc(x)")) .set(LineWidth(2.)) }) .plot(YErrorBars { x: xs, y: &ys, y_low: &y_low, y_high: &y_high, }, |eb| { eb.set(Color::DarkViolet) .set(LineWidth(2.)) .set(PointType::FilledCircle) .set(Label("measured")) }) .draw() // (rest of the chain has been omitted)
- Candlesticks (based on
candlesticks.dem
)
extern crate rand; extern crate criterion_plot 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() .set(BoxWidth(0.2)) .configure(Axis::BottomX, |a| a.set(Range::Limits(0., 11.))) .plot(Candlesticks { x: xs.clone(), whisker_min: &wm, box_min: &bm, box_high: &bh, whisker_high: &wh, }, |cs| { cs.set(Color::Rgb(86, 180, 233)) .set(Label("Quartiles")) .set(LineWidth(2.)) }) // trick to plot the median .plot(Candlesticks { x: xs, whisker_min: &m, box_min: &m, box_high: &m, whisker_high: &m, }, |cs| { cs.set(Color::Black) .set(LineWidth(2.)) }) .draw() // (rest of the chain has been omitted)
- Multiaxis (based on
multiaxis.dem
)
extern crate itertools_num; extern crate num_complex; extern crate criterion_plot 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(). set(Title("Frequency response")). configure(Axis::BottomX, |a| a. configure(Grid::Major, |g| g. show()). set(Label("Angular frequency (rad/s)")). set(Range::Limits(start, end)). set(Scale::Logarithmic)). configure(Axis::LeftY, |a| a. set(Label("Gain")). set(Scale::Logarithmic)). configure(Axis::RightY, |a| a. configure(Grid::Major, |g| g. show()). set(Label("Phase shift (°)"))). configure(Key, |k| k. set(Position::Inside(Vertical::Top, Horizontal::Center)). set(Title(" "))). plot(Lines { x: xs, y: magnitude, }, |l| l. set(Color::DarkViolet). set(Label("Magnitude")). set(LineWidth(2.))). plot(Lines { x: xs, y: phase, }, |l| l. set(Axes::BottomXRightY). set(Color::Rgb(0, 158, 115)). set(Label("Phase")). set(LineWidth(2.))). draw(). // (rest of the chain has been omitted)
- Filled curves (based on
transparent.dem
)
extern crate itertools_num; extern crate criterion_plot 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() .set(Title("Transparent filled curve")) .configure(Axis::BottomX, |a| a.set(Range::Limits(start, end))) .configure(Axis::LeftY, |a| a.set(Range::Limits(0., 1.))) .configure(Key, |k| { k.set(Justification::Left) .set(Order::SampleText) .set(Position::Inside(Vertical::Top, Horizontal::Left)) .set(Title("Gaussian Distribution")) }) .plot(FilledCurve { x: xs, y1: xs.iter().map(|&x| gaussian(x, 0.5, 0.5)), y2: zeros.clone(), }, |fc| { fc.set(Color::ForestGreen) .set(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.set(Color::Gold) .set(Label("μ = 2.0 σ = 1.0")) .set(Opacity(0.5)) }) .plot(FilledCurve { x: xs, y1: xs.iter().map(|&x| gaussian(x, -1.0, 2.0)), y2: zeros, }, |fc| { fc.set(Color::Red) .set(Label("μ = -1.0 σ = 2.0")) .set(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 |
grid | Gridline |
key | Key (or legend) |
prelude | A collection of the most used traits, structs and enums |
proxy | Generic constructors for newtypes |
traits | Traits |
Structs
BoxWidth | Box width for box-related plots: bars, candlesticks, etc |
Figure | Plot container |
Font | A font name |
FontSize | The size of a font |
Key | The key or legend |
Label | Plot label |
LineWidth | Width of the lines |
Opacity | Fill color opacity |
Output | Output file path |
PointSize | Size of the points |
ScaleFactor | Axis scale factor |
Size | Figure size |
TicLabels | Labels attached to the tics of an axis |
Title | Figure title |
Version | Structure representing a gnuplot version number. |
Enums
Axes | A pair of axes that define a coordinate system |
Axis | A coordinate axis |
Color | Color |
Grid | Grid line |
LineType | Line type |
PointType | Point type |
Range | Axis range |
Scale | Axis scale |
Terminal | Output terminal |
VersionError | Possible errors when parsing gnuplot's version string |
Functions
version | Returns |