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Data plotting library for Rust

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milliams/plotlib

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RustcodecovCrates.ioMITDocumentation

plotlib is a generic data visualisation and plotting library for Rust.It is currently in the very early stages of development.

It can currently produce:

  • histograms
  • scatter plots
  • line graphs from data or from function definitions
  • box plots
  • bar charts

rendering them as either SVG or plain text.

The API is still very much in flux and is subject to change.

For example, code like:

use plotlib::page::Page;use plotlib::repr::Plot;use plotlib::view::ContinuousView;use plotlib::style::{PointMarker,PointStyle};fnmain(){// Scatter plots expect a list of pairslet data1 =vec![(-3.0,2.3),(-1.6,5.3),(0.3,0.7),(4.3, -1.4),(6.4,4.3),(8.5,3.7),];// We create our scatter plot from the datalet s1:Plot =Plot::new(data1).point_style(PointStyle::new().marker(PointMarker::Square)// setting the marker to be a square.colour("#DD3355"),);// and a custom colour// We can plot multiple data sets in the same viewlet data2 =vec![(-1.4,2.5),(7.2, -0.3)];let s2:Plot =Plot::new(data2).point_style(PointStyle::new()// uses the default marker.colour("#35C788"),);// and a different colour// The 'view' describes what set of data is drawnlet v =ContinuousView::new().add(s1).add(s2).x_range(-5.,10.).y_range(-2.,6.).x_label("Some varying variable").y_label("The response of something");// A page with a single view is then saved to an SVG filePage::single(&v).save("scatter.svg").unwrap();}

will produce output like:

scatter plot

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