Data Analysis with Rust Notebooks

A practical book on Data Analysis with Rust Notebooks that teaches you the concepts and how they’re implemented in practice.

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Plotting with Plotters

Preamble

:dep plotters = { git = "https://github.com/38/plotters", default_features = false, features = ["evcxr", "line_series"] }
extern crate plotters;
use plotters::prelude::*;
use plotters::series::*;

Visualisation

I had originally planned to use Plotters for all the graphing in this book. However, shortly after finding Plotters, I found out that a Rust library had enabled Plotly support. You will see this in later sections, but for now, here is an example of how Plotters works.

let figure = evcxr_figure((640, 480), |root| {
    root.fill(&WHITE);
    let mut chart = ChartBuilder::on(&root)
        .caption("y=x^2", ("Arial", 50).into_font())
        .margin(5)
        .x_label_area_size(30)
        .y_label_area_size(30)
        .build_ranged(-1f32..1f32, -0.1f32..1f32)?;

    chart.configure_mesh().draw()?;

    chart.draw_series(LineSeries::new(
        (-50..=50).map(|x| x as f32 / 50.0).map(|x| (x, x * x)),
        &RED,
    )).unwrap()
        .label("y = x^2")
        .legend(|(x,y)| PathElement::new(vec![(x,y), (x + 20,y)], &RED));

    chart.configure_series_labels()
        .background_style(&WHITE.mix(0.8))
        .border_style(&BLACK)
        .draw()?;
    Ok(())
});
figure

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Data Analysis with Rust Notebooks

A practical book on Data Analysis with Rust Notebooks that teaches you the concepts and how they’re implemented in practice.

Get the book

ISBN

978-1-915907-10-3

Cite

Rostami, S. (2020). Data Analysis with Rust Notebooks. Polyra Publishing.