Scatter Plots

The following imports have been used to produce the plots below:


#![allow(unused_variables)]
fn main() {
use itertools_num::linspace;
use plotly::common::{
    ColorScale, ColorScalePalette, DashType, Fill, Font, Line, LineShape, Marker, Mode, Title,
};
use plotly::layout::{Axis, BarMode, Layout, Legend, TicksDirection};
use plotly::{Bar, NamedColor, Plot, Rgb, Rgba, Scatter};
use rand_distr::{Distribution, Normal, Uniform};
}

The to_inline_html method is used to produce the html plot displayed in this page.

Simple Scatter Plot


#![allow(unused_variables)]
fn main() {
fn simple_scatter_plot(show: bool) {
    let n: usize = 100;
    let t: Vec<f64> = linspace(0., 10., n).collect();
    let y = t.iter().map(|x| x.sin()).collect();

    let trace = Scatter::new(t, y).mode(Mode::Markers);
    let mut plot = Plot::new();
    plot.add_trace(trace);
    if show {
        plot.show();
    }
    println!("{}", plot.to_inline_html(Some("simple_scatter_plot")));
}
}

Line and Scatter Plots


#![allow(unused_variables)]
fn main() {
fn line_and_scatter_plots(show: bool) {
    let n: usize = 100;
    let mut rng = rand::thread_rng();
    let random_x: Vec<f64> = linspace(0., 1., n).collect();
    let random_y0: Vec<f64> = Normal::new(5., 1.)
        .unwrap()
        .sample_iter(rng)
        .take(n)
        .collect();
    let random_y1: Vec<f64> = Normal::new(0., 1.)
        .unwrap()
        .sample_iter(rng)
        .take(n)
        .collect();
    let random_y2: Vec<f64> = Normal::new(-5., 1.)
        .unwrap()
        .sample_iter(rng)
        .take(n)
        .collect();

    let trace1 = Scatter::new(random_x.clone(), random_y0)
        .mode(Mode::Markers)
        .name("markers");
    let trace2 = Scatter::new(random_x.clone(), random_y1)
        .mode(Mode::LinesMarkers)
        .name("linex+markers");
    let trace3 = Scatter::new(random_x, random_y2)
        .mode(Mode::Lines)
        .name("lines");

    let mut plot = Plot::new();
    plot.add_trace(trace1);
    plot.add_trace(trace2);
    plot.add_trace(trace3);
    if show {
        plot.show();
    }
    println!("{}", plot.to_inline_html(Some("line_and_scatter_plots")));
}
}

Bubble Scatter Plots


#![allow(unused_variables)]
fn main() {
fn bubble_scatter_plots(show: bool) {
    let trace1 = Scatter::new(vec![1, 2, 3, 4], vec![10, 11, 12, 13])
        .mode(Mode::Markers)
        .marker(
            Marker::new()
                .size_array(vec![40, 60, 80, 100])
                .color_array(vec![
                    NamedColor::Red,
                    NamedColor::Blue,
                    NamedColor::Cyan,
                    NamedColor::OrangeRed,
                ]),
        );
    let mut plot = Plot::new();
    plot.add_trace(trace1);
    if show {
        plot.show();
    }
    println!("{}", plot.to_inline_html(Some("bubble_scatter_plots")));
}
}

Data Labels Hover


#![allow(unused_variables)]
fn main() {
fn data_labels_hover(show: bool) {
    let trace1 = Scatter::new(vec![1, 2, 3, 4, 5], vec![1, 6, 3, 6, 1])
        .mode(Mode::Markers)
        .name("Team A")
        .marker(Marker::new().size(12));
    let trace2 = Scatter::new(vec![1.5, 2.5, 3.5, 4.5, 5.5], vec![4, 1, 7, 1, 4])
        .mode(Mode::Markers)
        .name("Team B")
        .marker(Marker::new().size(12));

    let mut plot = Plot::new();
    plot.add_trace(trace1);
    plot.add_trace(trace2);

    let layout = Layout::new()
        .title(Title::new("Data Labels Hover"))
        .x_axis(Axis::new().title(Title::new("x")).range(vec![0.75, 5.25]))
        .y_axis(Axis::new().title(Title::new("y")).range(vec![0., 8.]));
    plot.set_layout(layout);
    if show {
        plot.show();
    }
    println!("{}", plot.to_inline_html(Some("data_labels_hover")));
}
}

Data Labels on the Plot


#![allow(unused_variables)]
fn main() {
fn data_labels_on_the_plot(show: bool) {
    let trace1 = Scatter::new(vec![1, 2, 3, 4, 5], vec![1, 6, 3, 6, 1])
        .mode(Mode::Markers)
        .name("Team A")
        .marker(Marker::new().size(12))
        .text_array(vec!["A-1", "A-2", "A-3", "A-4", "A-5"]);
    let trace2 = Scatter::new(vec![1.5, 2.5, 3.5, 4.5, 5.5], vec![4, 1, 7, 1, 4])
        .mode(Mode::Markers)
        .name("Team B")
        .text_array(vec!["B-a", "B-b", "B-c", "B-d", "B-e"])
        .marker(Marker::new().size(12));

    let mut plot = Plot::new();
    plot.add_trace(trace1);
    plot.add_trace(trace2);

    let layout = Layout::new()
        .title(Title::new("Data Labels on the Plot"))
        .x_axis(Axis::new().range(vec![0.75, 5.25]))
        .y_axis(Axis::new().range(vec![0., 8.]));
    plot.set_layout(layout);
    if show {
        plot.show();
    }
    println!("{}", plot.to_inline_html(Some("data_labels_on_the_plot")));
}

}

Colored and Styled Scatter Plot


#![allow(unused_variables)]
fn main() {
fn colored_and_styled_scatter_plot(show: bool) {
    let trace1 = Scatter::new(vec![52698, 43117], vec![53, 31])
        .mode(Mode::Markers)
        .name("North America")
        .text_array(vec!["United States", "Canada"])
        .marker(
            Marker::new()
                .color(Rgb::new(164, 194, 244))
                .size(12)
                .line(Line::new().color(NamedColor::White).width(0.5)),
        );
    let trace2 = Scatter::new(
        vec![
            39317, 37236, 35650, 30066, 29570, 27159, 23557, 21046, 18007,
        ],
        vec![33, 20, 13, 19, 27, 19, 49, 44, 38],
    )
    .mode(Mode::Markers)
    .name("Europe")
    .text_array(vec![
        "Germany",
        "Britain",
        "France",
        "Spain",
        "Italy",
        "Czech Rep.",
        "Greece",
        "Poland",
    ])
    .marker(Marker::new().color(Rgb::new(255, 217, 102)).size(12));
    let trace3 = Scatter::new(
        vec![42952, 37037, 33106, 17478, 9813, 5253, 4692, 3899],
        vec![23, 42, 54, 89, 14, 99, 93, 70],
    )
    .mode(Mode::Markers)
    .name("Asia/Pacific")
    .text_array(vec![
        "Australia",
        "Japan",
        "South Korea",
        "Malaysia",
        "China",
        "Indonesia",
        "Philippines",
        "India",
    ])
    .marker(Marker::new().color(Rgb::new(234, 153, 153)).size(12));
    let trace4 = Scatter::new(
        vec![19097, 18601, 15595, 13546, 12026, 7434, 5419],
        vec![43, 47, 56, 80, 86, 93, 80],
    )
    .mode(Mode::Markers)
    .name("Latin America")
    .text_array(vec![
        "Chile",
        "Argentina",
        "Mexico",
        "Venezuela",
        "Venezuela",
        "El Salvador",
        "Bolivia",
    ])
    .marker(Marker::new().color(Rgb::new(142, 124, 195)).size(12));

    let layout = Layout::new()
        .title(Title::new("Quarter 1 Growth"))
        .x_axis(
            Axis::new()
                .title(Title::new("GDP per Capita"))
                .show_grid(false)
                .zero_line(false),
        )
        .y_axis(Axis::new().title(Title::new("Percent")).show_line(false));
    let mut plot = Plot::new();
    plot.add_trace(trace1);
    plot.add_trace(trace2);
    plot.add_trace(trace3);
    plot.add_trace(trace4);
    plot.set_layout(layout);
    if show {
        plot.show();
    }
    println!(
        "{}",
        plot.to_inline_html(Some("colored_and_styled_scatter_plot"))
    );
}
}

Large Data Sets


#![allow(unused_variables)]
fn main() {
fn large_data_sets(show: bool) {
    let n: usize = 100_000;
    let mut rng = rand::thread_rng();
    let r: Vec<f64> = Uniform::new(0., 1.).sample_iter(rng).take(n).collect();
    let theta: Vec<f64> = Normal::new(0., 2. * std::f64::consts::PI)
        .unwrap()
        .sample_iter(rng)
        .take(n)
        .collect();
    let colors: Vec<f64> = Normal::new(0., 1.)
        .unwrap()
        .sample_iter(rng)
        .take(n)
        .collect();

    let x: Vec<f64> = r
        .iter()
        .zip(theta.iter())
        .map(|args| args.0 * args.1.cos())
        .collect();
    let y: Vec<f64> = r
        .iter()
        .zip(theta.iter())
        .map(|args| args.0 * args.1.sin())
        .collect();
    let trace = Scatter::new(x, y)
        .open_gl_mode(true)
        .mode(Mode::Markers)
        .marker(
            Marker::new()
                .color_scale(ColorScale::Palette(ColorScalePalette::Viridis))
                .color_array(colors)
                .line(Line::new().width(1.)),
        );
    let mut plot = Plot::new();
    plot.add_trace(trace);

    if show {
        plot.show();
    }
    // Note the following will not show the full output of the `to_inline_html` method.
    println!("{}", plot.to_inline_html(Some("large_data_sets")));
}
}