chord

Crates.iochord
lib.rschord
version0.8.1
sourcesrc
created_at2020-04-07 20:19:16.154776
updated_at2021-01-06 18:53:11.970083
descriptionRust wrapper around d3-chord
homepagehttps://store.shahinrostami.com/product/data-analysis-with-rust-notebooks/
repositoryhttps://github.com/shahinrostami/chord_rs
max_upload_size
id227449
size7,125,195
Dr. Shahin Rostami (shahinrostami)

documentation

README

ChordPRO

Chord PRO Released

Chord PRO is the full-featured chord visualization API, producing beautiful interactive visualizations, e.g. those featured on the front page of Reddit.

  • Produce beautiful interactive Chord diagrams.
  • Customize colours and font-sizes.
  • Access Divided mode, enabling two sides to your diagram.
  • Add images and text on hover,
  • Access finer-customisations including HTML injection.
  • Allows commercial use without open source requirement.
  • Currently supports Python, JavaScript, and Rust, with many more to come (accepting requests).

Get it here!

Changelog:

  • 23 December 2020 - Chord PRO now supports reverse_gradients.

reverse_gradients

  • 02 December 2020 - Chord PRO now has [better support] for text customisation with the conjunction parameter.

  • 21 November 2020 - Chord PRO now has better support for asymmetric chord diagrams.

  • 03 November 2020 - Chord PRO now supports nodes with no relationships.

  • 26 October 2020 - Chord PRO now supports Downloading to image when multiple Chord diagrams appear on the same page.

  • 03 October 2020 - Chord PRO now supports visualising occurrences as well as co-occurrences.

  • 29 August 2020 - Chord PRO now supports enabling a Download to image button.

  • 16 August 2020 - Chord PRO now supports radius scaling and bipartite titles.

  • 13 August 2020 - Chord PRO now supports Arc numbers.

  • 23 July 2020 - Chord PRO now supports figure titles.

  • 20 July 2020 - Chord PRO now supports asymmetric mode using symmetric=False! You can also override the verb used in the popup.

  • 14 July 2020 - Chord PRO can now be enabled by entering your license key.

  • 29 June 2020 - Optimisation and bug fixes to the tooltip have massively improved the interactive performance of the visualisation (Rebuild your chord diagrams to take advantage of this change).

  • 22 May 2020 - Optimisation and bug fixes have massively improved the interactive performance of the visualisation (Rebuild your chord diagrams to take advantage of this change).

  • 21 May 2020 - Please update to the latest version of chord. Backwards compatibility has been introduced, so from this version onwards, new versions won't break older ones!

Example Image

Introduction

In a chord diagram (or radial network), entities are arranged radially as segments with their relationships visualised by arcs that connect them. The size of the segments illustrates the numerical proportions, whilst the size of the arc illustrates the significance of the relationships1.

Chord diagrams are useful when trying to convey relationships between different entities, and they can be beautiful and eye-catching.

The Chord Crate

I wasn't able to find any Rust crates for plotting chord diagrams, so I ported my own from Python to Rust.

You can get the package either from crates.io or from the GitHub repository. With your processed data, you should be able to plot something beautiful with just a single line, Chord{ matrix : matrix, names : names, .. Chord::default() }.show()

The primary support is for Jupyter Lab (not the older Jupyter Notebook).

Installation

Available on crates.io.

:dep chord = {Version = "0.2.1"}
use chord::{Chord, Plot};

Examples

You can see the actual interactive examples on this page. The below examples are screenshots.

The Dataset

The focus for this section will be the demonstration of the chord package. To keep it simple, we will use synthetic data that illustrates the co-occurrences between movie genres within the same movie.

let matrix: Vec<Vec<f64>> = vec![
    vec![0., 5., 6., 4., 7., 4.],
    vec![5., 0., 5., 4., 6., 5.],
    vec![6., 5., 0., 4., 5., 5.],
    vec![4., 4., 4., 0., 5., 5.],
    vec![7., 6., 5., 5., 0., 4.],
    vec![4., 5., 5., 5., 4., 0.],
];

let names: Vec<String> = vec![
    "Action",
    "Adventure",
    "Comedy",
    "Drama",
    "Fantasy",
    "Thriller",
]
.into_iter()
.map(String::from)
.collect();

Default Settings

Let's see what the Chord defaults produce when we invoke the show() method.

Chord {
    matrix: matrix.clone(),
    names: names.clone(),
    ..Chord::default()
}
.show();

Example Image

You can also save it to a HTML file.

Chord {
    matrix: matrix.clone(),
    names: names.clone(),
    ..Chord::default()
}
.to_html();

Different Colours

The defaults are nice, but what if we want different colours? You can pass in almost anything from d3-scale-chromatic, or you could pass in a list of hexadecimal colour codes.

Chord {
    matrix: matrix.clone(),
    names: names.clone(),
    colors: "d3.schemeSet2".to_string(),
    ..Chord::default()
}
.show();

Example Image

Chord {
    matrix: matrix.clone(),
    names: names.clone(),
    colors: format!("d3.schemeGnBu[{:?}]",names.len()).to_string(),
    ..Chord::default()
}
.show();

Example Image

Chord {
    matrix: matrix.clone(),
    names: names.clone(),
    colors: "d3.schemeSet3".to_string(),
    ..Chord::default()
}
.show();

Example Image

Chord {
    matrix: matrix.clone(),
    names: names.clone(),
    colors: format!("d3.schemePuRd[{:?}]",names.len()).to_string(),
    ..Chord::default()
}
.show();

Example Image

Chord {
    matrix: matrix.clone(),
    names: names.clone(),
    colors: format!("d3.schemeYlGnBu[{:?}]",names.len()).to_string(),
    ..Chord::default()
}
.show();

Example Image

let hex_colours : Vec<String> = vec!["#222222", "#333333", "#4c4c4c", "#666666", "#848484", "#9a9a9a"].into_iter()
.map(String::from)
.collect();

Chord {
    matrix: matrix.clone(),
    names: names.clone(),
    colors: format!("{:?}",hex_colours),
    ..Chord::default()
}
.show();

Example Image

Label Styling

We can disable the wrapped labels, and even change the colour.

Chord {
    matrix: matrix.clone(),
    names: names.clone(),
    wrap_labels: false,
    label_color:"#4c40bf".to_string(),
    ..Chord::default()
}
.show();

Example Image

Opacity

We can also change the default opacity of the relationships.

Chord {
    matrix: matrix.clone(),
    names: names.clone(),
    opacity: 0.1,
    ..Chord::default()
}
.show();

Example Image

Diagram Size

We can change the maximum diagram size by specifying a width.

Chord {
    matrix: matrix.clone(),
    names: names.clone(),
    width: 400.0,
    ..Chord::default()
}
.show()

  1. Tintarev, N., Rostami, S., & Smyth, B. (2018, April). Knowing the unknown: visualising consumption blind-spots in recommender systems. In Proceedings of the 33rd Annual ACM Symposium on Applied Computing (pp. 1396-1399). 

Data and Templates

Chord FREE package

The chord package switches to FREE mode when a username and license are not specified, or if they are both set to "free". This disables the use of all the PRO features.

This uses the Chord FREE API service hosted on the DataCrayon.com (AWS hosted) server to generate your visualisation.

Chord FREE uses the AGPL-3.0 License.

Chord PRO (full-featured) package

The chord package switches to PRO mode when a username and license are specified. This enables the use of all the PRO features.

This uses the Chord PRO API service hosted on the DataCrayon.com (AWS hosted) server to generate your visualisation.

Example Image

Commit count: 33

cargo fmt