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 gnuplot version